Mapping the Published Evidence on Childhood Obesity Prevalence and Related Policies in Greece: A Scoping Review
Abstract
1. Introduction
1.1. Background
1.2. Status of Obesity in Europe
1.3. Status of Obesity in Greece: Filling the Gap, Aims, and Objectives
2. Materials and Methods
2.1. Literature Search Strategy
2.2. Selection Criteria
- Prevalence:
- Population: Studies referring to children and adolescents (≤18 years of age) living in Greece were eligible; those including both adult and pediatric populations were eligible only if they presented stratified results by age group.
- Interventions and comparators: Studies including both a group of children with obesity and without obesity were eligible, such as studies that were centered on the evaluation/presentation of an intervention, provided they included original data on prevalence before the implementation of the tool.
- Outcomes: Studies providing data on childhood obesity prevalence in Greece were eligible.
- Study design: Clinical trials and observational studies related to childhood obesity in Greece were eligible.
- Policies:
- Population: Studies referring to children and adolescents (≤18 years of age) living in Greece were eligible; those including both adult and pediatric populations were eligible.
- Interventions and comparators: Studies including international comparisons among childhood obesity policies were eligible, such as studies that were centered on the evaluation/presentation of policy interventions tackling childhood obesity.
- Outcomes: Studies evaluating the existing or upcoming policies to address obesity in Greece were eligible.
- Study design: Observational studies related to childhood obesity policies in Greece were eligible.
2.3. Data Extraction
3. Results
3.1. Study Selection and Characteristics
3.2. Prevalence
3.3. Policies
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
WHO | World Health Organization |
HBSC | Health Behaviour in School-aged Children |
PICOS | Population, Intervention, Comparison, Outcomes, and Setting |
BMI | Body Mass Index |
UNICEF | United Nations Children’s Fund |
IOTF | International Obesity Task Force |
COSI | Childhood Obesity Surveillance Initiative |
Appendix A
References
- World Health Organization. Noncommunicable Diseases. In Childhood Overweight and Obesity; Key Figures: Toronto, ON, Canada, 2020. [Google Scholar]
- Safaei, M.; Sundararajan, E.A.; Driss, M.; Boulila, W.; Shapi’i, A. A Systematic Literature Review on Obesity: Understanding the Causes & Consequences of Obesity and Reviewing Various Machine Learning Approaches Used to Predict Obesity. Comput. Biol. Med. 2021, 136, 104754. [Google Scholar] [CrossRef]
- World Health Organization Regional Office for Europe. Spotlight on Adolescent Health and Well-Being. Findings from the 2017/2018 Health Behaviour in School-Aged Children (HBSC) Survey in Europe and Canada. In International Report: Summary; Key Figures: Toronto, ON, Canada, 2020. [Google Scholar]
- Helseth, S.; Haraldstad, K.; Christophersen, K.-A. A Cross-Sectional Study of Health Related Quality of Life and Body Mass Index in a Norwegian School Sample (8–18 Years): A Comparison of Child and Parent Perspectives. Health Qual. Life Outcomes 2015, 13, 47. [Google Scholar] [CrossRef]
- Wille, N.; Bullinger, M.; Holl, R.; Hoffmeister, U.; Mann, R.; Goldapp, C.; Reinehr, T.; Westenhöfer, J.; Egmond-Froehlich, A.; Ravens-Sieberer, U. Health-Related Quality of Life in Overweight and Obese Youths: Results of a Multicenter Study. Health Qual. Life Outcomes 2010, 8, 36. [Google Scholar] [CrossRef] [PubMed]
- Meixner, L.; Cohrdes, C.; Schienkiewitz, A.; Mensink, G.B.M. Health-Related Quality of Life in Children and Adolescents with Overweight and Obesity: Results from the German KIGGS Survey. BMC Public Health 2020, 20, 1722. [Google Scholar] [CrossRef] [PubMed]
- De Beer, M.; Hofsteenge, G.H.; Koot, H.; Hirasing, R.; Delemarre-van De Waal, H.; Gemke, R. Health-related-quality-of-life in Obese Adolescents Is Decreased and Inversely Related to BMI. Acta Paediatr. 2007, 96, 710–714. [Google Scholar] [CrossRef]
- Wynne, C.; Comiskey, C.; Hollywood, E.; Quirke, M.B.; O’Sullivan, K.; McGilloway, S. The Relationship between Body Mass Index and Health-Related Quality of Life in Urban Disadvantaged Children. Qual. Life Res. 2014, 23, 1895–1905. [Google Scholar] [CrossRef]
- Jansen, P.W.; Mensah, F.K.; Clifford, S.; Nicholson, J.M.; Wake, M. Bidirectional Associations between Overweight and Health-Related Quality of Life from 4–11 Years: Longitudinal Study of Australian Children. Int. J. Obes. 2013, 37, 1307–1313. [Google Scholar] [CrossRef]
- Friedlander, S.L.; Larkin, E.K.; Rosen, C.L.; Palermo, T.M.; Redline, S. Decreased Quality of Life Associated With Obesity in School-Aged Children. Arch. Pediatr. Adolesc. Med. 2003, 157, 1206. [Google Scholar] [CrossRef]
- Zeller, M.H.; Modi, A.C. Predictors of Health-Related Quality of Life in Obese Youth. Obesity 2006, 14, 122–130. [Google Scholar] [CrossRef]
- Pinhas-Hamiel, O.; Singer, S.; Pilpel, N.; Fradkin, A.; Modan, D.; Reichman, B. Health-Related Quality of Life among Children and Adolescents: Associations with Obesity. Int. J. Obes. 2006, 30, 267–272. [Google Scholar] [CrossRef]
- Tsiros, M.D.; Olds, T.; Buckley, J.D.; Grimshaw, P.; Brennan, L.; Walkley, J.; Hills, A.P.; Howe, P.R.C.; Coates, A.M. Health-Related Quality of Life in Obese Children and Adolescents. Int. J. Obes. 2009, 33, 387–400. [Google Scholar] [CrossRef] [PubMed]
- The Lancet Diabetes & Endocrinology Childhood Obesity: A Growing Pandemic. Lancet Diabetes Endocrinol. 2022, 10, 1. [CrossRef]
- Horesh, A.; Tsur, A.M.; Bardugo, A.; Twig, G. Adolescent and Childhood Obesity and Excess Morbidity and Mortality in Young Adulthood—A Systematic Review. Curr. Obes. Rep. 2021, 10, 301–310. [Google Scholar] [CrossRef]
- Ling, J.; Chen, S.; Zahry, N.R.; Kao, T.A. Economic Burden of Childhood Overweight and Obesity: A Systematic Review and Meta-analysis. Obes. Rev. 2023, 24, e13535. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Report of the Commission on Ending Childhood Obesity; World Health Organization: Geneva, Switzerland, 2016; ISBN 978-92-4-151006-6. [Google Scholar]
- Wickramasinghe, K.; Chatterjee, S.; Williams, J.; Weber, M.W.; Rito, A.I.; Rippin, H.; Breda, J. Childhood Overweight and Obesity Abatement Policies in Europe. Obes. Rev. 2021, 22, e13300. [Google Scholar] [CrossRef]
- Abarca-Gómez, L.; Abdeen, Z.A.; Hamid, Z.A.; Abu-Rmeileh, N.M.; Acosta-Cazares, B.; Acuin, C.; Adams, R.J.; Aekplakorn, W.; Afsana, K.; Aguilar-Salinas, C.A.; et al. Worldwide Trends in Body-Mass Index, Underweight, Overweight, and Obesity from 1975 to 2016: A Pooled Analysis of 2416 Population-Based Measurement Studies in 128·9 Million Children, Adolescents, and Adults. Lancet 2017, 390, 2627–2642. [Google Scholar] [CrossRef]
- World Health Organization. Global Health Observatory Noncommunicable Diseases: Risk Factors. In Noncommunicable Diseases; Elsevier: Amsterdam, The Netherlands, 2016. [Google Scholar]
- WHO. Regional Office for Europe Report on the Fifth Round of Data Collection, 2018–2020: WHO European Childhood Obesity Surveillance Initiative (COSI); World Health Organization: Geneva, Switzerland, 2022. [Google Scholar]
- WHO. European Region Childhood Obesity in European Region Remains High: New WHO Report Presents Latest Country Data; World Health Organization: Geneva, Switzerland, 2022. [Google Scholar]
- Rodrigues, D.; Padez, C.; Machado-Rodrigues, A.M. Prevalence of Abdominal Obesity and Excess Weight among Portuguese Children and Why Abdominal Obesity Should Be Included in Clinical Practice. Acta Med. Port. 2018, 31, 159–164. [Google Scholar] [CrossRef]
- Rodrigues, D.; Costa, D.; Gama, A.; Machado-Rodrigues, A.M.; Nogueira, H.; Silva, M.G.; Rosado-Marques, V.; Padez, C. Socioeconomic Inequalities in the Prevalence of Overweight and Obesity among Portuguese Preschool-aged Children: Changes from 2009 to 2016. Am. J. Hum. Biol. 2022, 34, e23582. [Google Scholar] [CrossRef]
- Marques, A.; De Matos, M.G. Trends in Prevalence of Overweight and Obesity: Are Portuguese Adolescents Still Increasing Weight? Int. J. Public Health 2016, 61, 49–56. [Google Scholar] [CrossRef]
- Bravo-Saquicela, D.M.; Sabag, A.; Rezende, L.F.M.; Rey-Lopez, J.P. Has the Prevalence of Childhood Obesity in Spain Plateaued? A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2022, 19, 5240. [Google Scholar] [CrossRef]
- Moncho, J.; Martínez-García, A.; Trescastro-López, E.M. Prevalence of Overweight and Obesity in Children of Immigrant Origin in Spain: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 1711. [Google Scholar] [CrossRef] [PubMed]
- Roth, B.; Reynaud, R.; Nègre, V.; Gentile, S.; Pauly, V.; Bernard, O. Prevalence of Overweight, Obesity, and Early Adiposity Rebound in Nursery School Children in Southeastern France. Arch. Pédiatr. 2022, 29, 388–394. [Google Scholar] [CrossRef]
- Galfo, M.; Censi, L.; D’Addezio, L.; Melini, F.; Martone, D. Overweight/Obesity and Lifestyle Factors among Italian Adolescents: The ALIADO Study. Minerva Pediatr. 2022, 74, 251–258. [Google Scholar] [CrossRef]
- Stival, C.; Lugo, A.; Barone, L.; Fattore, G.; Odone, A.; Salvatore, S.; Santoro, E.; Scaglioni, S.; Van Den Brandt, P.A.; Gallus, S.; et al. Prevalence and Correlates of Overweight, Obesity and Physical Activity in Italian Children and Adolescents from Lombardy, Italy. Nutrients 2022, 14, 2258. [Google Scholar] [CrossRef]
- Grech, V.; Aquilina, S.; Camilleri, E.; Spiteri, K.; Busuttil, M.; Sant’Angelo, V.F.; Calleja, N. The Malta Childhood National Body Mass Index Study: A Population Study. J. Pediatr. Gastroenterol. Nutr. 2017, 65, 327–331. [Google Scholar] [CrossRef] [PubMed]
- Musić Milanović, S. Regional and Sociodemographic Determinants of the Prevalence of Overweight and Obesity in Children Aged 7–9 Years in Croatia. ACC 2020, 59, 303–311. [Google Scholar] [CrossRef] [PubMed]
- Banjari, I.; Martinović, M.; Belojević, G.; Ašanin, B.; Kovačević, N.D.; Kenjerić, D.; Miškulin, M.; Pantović, S.; Pušeljić, S.; Sokolić, D.; et al. Poverty and Other Correlates of Obesity and Underweight among 7-Year-Olds from Croatia and Montenegro. Public Health 2020, 182, 64–69. [Google Scholar] [CrossRef]
- Miron, V.D.; Bar, G.; Filimon, C.; Gaidamut, V.A.; Craiu, M. Monitoring of Excess Body Weight in Children in the Emergency Department of a Tertiary Pediatric Hospital in Bucharest, Romania. Maedica 2021, 16, 389–393. [Google Scholar] [CrossRef]
- Jakab, A.E.; Hidvégi, E.V.; Illyés, M.; Cziráki, A.; Bereczki, C. Prevalence of Overweight and Obesity in Hungarian Children and Adolescents. Ann. Nutr. Metab. 2018, 72, 259–264. [Google Scholar] [CrossRef]
- Kovacs, V.A.; Bakacs, M.; Kaposvari, C.; Illes, E.; Erdei, G.; Martos, E.; Breda, J. Weight Status of 7-Year-Old Hungarian Children between 2010 and 2016 Using Different Classifications (COSI Hungary). Obes. Facts 2018, 11, 195–205. [Google Scholar] [CrossRef]
- Marković, L.; Đorđić, V.; Trajković, N.; Božić, P.; Halaši, S.; Cvejić, D.; Ostojić, S.M. Childhood Obesity in Serbia on the Rise. Children 2021, 8, 409. [Google Scholar] [CrossRef] [PubMed]
- Raufi, A.; Konstantinova, M.K. Prevalence of Overweight and Obesity in Children: Variation in Different Ethnicities, Age, and Sex in North Macedonia. PRILOZI 2022, 43, 23–31. [Google Scholar] [CrossRef] [PubMed]
- Savva, S.C.; Kourides, Y.A.; Hadjigeorgiou, C.; Tornaritis, M.J. Overweight and Obesity Prevalence and Trends in Children and Adolescents in Cyprus 2000–2010. Obes. Res. Clin. Pract. 2014, 8, e426–e434. [Google Scholar] [CrossRef] [PubMed]
- Grammatikopoulou, M.G.; Kotanidou, E.P.; Markaki, A.G.; Stylianou, C.; Galli-Tsinopoulou, A.; Tsigga, M.; Hassapidou, M. A Systematic Review and Meta-Analysis of Weight. Status among Adolescents in Cyprus: Scrutinizing the Data for the Years 2000–2010. Hormones 2014, 13, 543–551. [Google Scholar] [CrossRef]
- Alkan, H.; Enc, N.; Yeni, K.; Ayvaz, M.Y.; Kayikci, E.E.; Uğurlu, Y.K. Evaluation of Childhood Obesity, Prevalence, and Related Factors in Istanbul. FNJN 2022, 30, 267–273. [Google Scholar] [CrossRef]
- Görçin Karaketir, Ş.; Lüleci, N.E.; Eryurt, M.A.; Emecen, A.N.; Haklıdır, M.; Hıdıroğlu, S. Overweight and Obesity in Preschool Children in Turkey: A Multilevel Analysis. J. Biosoc. Sci. 2023, 55, 344–366. [Google Scholar] [CrossRef]
- Santas, F.; Santas, G. Prevalence of Pre-School Children for Overweight/Obesity in Turkey. World J. Pediatr. 2018, 14, 77–83. [Google Scholar] [CrossRef]
- Bardugo, A.; Twig, G. [ADOLESCENT OBESITY IN ISRAEL]. Harefuah 2021, 160, 732–739. [Google Scholar]
- De Morais Macieira, L.M.; Tavares Lopes De Andrade Saraiva, J.M.; Da Conceição Santos, L. Overweight and Obesity and Their Associated Factors among Early Adolescence School Children in Urban and Rural Portugal. BMC Nutr. 2017, 3, 17. [Google Scholar] [CrossRef] [PubMed]
- Cauchi, D.; Rutter, H.; Knai, C. An Obesogenic Island in the Mediterranean: Mapping Potential Drivers of Obesity in Malta. Public Health Nutr. 2015, 18, 3211–3223. [Google Scholar] [CrossRef]
- Grigorakis, D.A.; Georgoulis, M.; Psarra, G.; Tambalis, K.D.; Panagiotakos, D.B.; Sidossis, L.S. Prevalence and Lifestyle Determinants of Central Obesity in Children. Eur. J. Nutr. 2016, 55, 1923–1931. [Google Scholar] [CrossRef] [PubMed]
- Bastida, L.; Cea, G.; Moya, A.; Gallego, A.; Gaeta, E.; Sillaurren, S.; Barbosa, P.; Souto, S.; Rodrigues, E.; Torrego-Ellacuria, M.; et al. Promoting Obesity Prevention and Healthy Habits in Childhood: The OCARIoT Experience. IEEE J. Transl. Eng. Health Med. 2023, 11, 261–270. [Google Scholar] [CrossRef] [PubMed]
- Andrie, E.K.; Melissourgou, M.; Gryparis, A.; Vlachopapadopoulou, E.; Michalacos, S.; Renouf, A.; Sergentanis, T.N.; Bacopoulou, F.; Karavanaki, K.; Tsolia, M.; et al. Psychosocial Factors and Obesity in Adolescence: A Case-Control Study. Children 2021, 8, 308. [Google Scholar] [CrossRef] [PubMed]
- Kollias, A.; Skliros, E.; Stergiou, G.S.; Leotsakos, N.; Saridi, M.; Garifallos, D. Obesity and Associated Cardiovascular Risk Factors among Schoolchildren in Greece: A Cross-Sectional Study and Review of the Literature. J. Pediatr. Endocrinol. Metab. 2011, 24, 929–938. [Google Scholar] [CrossRef]
- Malindretos, P.; Doumpali, E.; Mouselimi, M.; Papamichail, N.; Doumpali, C.; Sianaba, O.; Orfanaki, G.; Sioulis, A. Childhood and Parental Obesity in the Poorest District of Greece. Hippokratia 2009, 13, 46–49. [Google Scholar]
- Sergentanis, T.N.; Bampalitsa, S.D.; Theofilou, P.; Panagouli, E.; Vlachopapadopoulou, E.; Michalacos, S.; Gryparis, A.; Thomaidis, L.; Psaltopoulou, T.; Tsolia, M.; et al. Cyberbullying and Obesity in Adolescents: Prevalence and Associations in Seven European Countries of the EU NET ADB Survey. Child 2021, 8, 235. [Google Scholar] [CrossRef]
- Athanasopoulos, D.T.; Garopoulou, A.I.; Dragoumanos, V.P. Childhood Obesity and Associated Factors in a Rural Greek Island. Rural Remote Health 2011, 11, 1641. [Google Scholar] [CrossRef]
- Jelastopulu, E.; Kallianezos, P.; Merekoulias, G.; Alexopoulos, E.C.; Sapountzi-Krepia, D. Prevalence and Risk Factors of Excess Weight in School Children in West Greece. Nurs. Health Sci. 2012, 14, 372–380. [Google Scholar] [CrossRef]
- Manios, Y.; Kourlaba, G.; Kondaki, K.; Grammatikaki, E.; Anastasiadou, A.; Roma-Giannikou, E. Obesity and Television Watching in Preschoolers in Greece: The GENESIS Study. Obesity 2009, 17, 2047–2053. [Google Scholar] [CrossRef]
- Kyriazis, I.; Rekleiti, M.; Saridi, M.; Beliotis, E.; Toska, A.; Souliotis, K.; Wozniak, G. Prevalence of Obesity in Children Aged 6-12 Years in Greece: Nutritional Behaviour and Physical Activity. Arch. Med. Sci. 2012, 8, 859–864. [Google Scholar] [CrossRef]
- Mavrakanas, T.A.; Konsoula, G.; Patsonis, I.; Merkouris, B.P. Childhood Obesity and Elevated Blood Pressure in a Rural Population of Northern Greece. Rural Remote Health 2009, 9, 1150. [Google Scholar] [CrossRef] [PubMed]
- Manios, Y.; Androutsos, O.; Katsarou, C.; Vampouli, E.A.; Kulaga, Z.; Gurzkowska, B.; Iotova, V.; Usheva, N.; Cardon, G.; Koletzko, B.; et al. Prevalence and Sociodemographic Correlates of Overweight and Obesity in a Large Pan-European Cohort of Preschool Children and Their Families: The ToyBox Study. Nutrition 2018, 55–56, 192–198. [Google Scholar] [CrossRef]
- Margetaki, K.; Stratakis, N.; Roumeliotaki, T.; Karachaliou, M.; Alexaki, M.; Kogevinas, M.; Chatzi, L.; Vafeiadi, M. Prenatal and Infant Antibiotic Exposure and Childhood Growth, Obesity and Cardiovascular Risk Factors: The Rhea Mother-Child Cohort Study, Crete, Greece. Pediatr. Obes. 2022, 17, e12843. [Google Scholar] [CrossRef] [PubMed]
- Tragomalou, A.; Moschonis, G.; Kassari, P.; Papageorgiou, I.; Genitsaridi, S.-M.; Karampatsou, S.; Manios, Y.; Charmandari, E. A National E-Health Program for the Prevention and Management of Overweight and Obesity in Childhood and Adolescence in Greece. Nutrients 2020, 12, 2858. [Google Scholar] [CrossRef] [PubMed]
- Hassapidou, M.; Papadopoulou, S.K.; Frossinis, A.; Kaklamanos, I.; Tzotzas, T. Sociodemographic, Ethnic and Dietary Factors Associated with Childhood Obesity in Thessaloniki, Northern Greece. Hormones 2009, 8, 53–59. [Google Scholar] [CrossRef]
- Tsolakis, C.; Cherouveim, E.D.; Skouras, A.Z.; Antonakis-Karamintzas, D.; Czvekus, C.; Halvatsiotis, P.; Savvidou, O.; Koulouvaris, P. The Impact of Obesity on the Fitness Performance of School-Aged Children Living in Rural Areas-The West Attica Project. Int. J. Environ. Res. Public Health 2022, 19, 11476. [Google Scholar] [CrossRef]
- Kosti, R.I.; Kanellopoulou, A.; Morogianni, K.; Notara, V.; Antonogeorgos, G.; Kourtesa, T.; Rojas-Gil, A.P.; Kornilaki, E.N.; Lagiou, A.; Panagiotakos, D.B. The Path between Breakfast Eating Habit, Sleep Duration and Physical Activity on Obesity Status: An Epidemiological Study in Schoolchildren. Nutr. Health 2023, 29, 721–730. [Google Scholar] [CrossRef]
- Patsopoulou, A.; Tsimtsiou, Z.; Katsioulis, A.; Rachiotis, G.; Malissiova, E.; Hadjichristodoulou, C. Prevalence and Risk Factors of Overweight and Obesity among Adolescents and Their Parents in Central Greece (FETA Project). Int. J. Environ. Res. Public Health 2015, 13, 83. [Google Scholar] [CrossRef]
- Farajian, P.; Risvas, G.; Karasouli, K.; Pounis, G.D.; Kastorini, C.M.; Panagiotakos, D.B.; Zampelas, A. Very High Childhood Obesity Prevalence and Low Adherence Rates to the Mediterranean Diet in Greek Children: The GRECO Study. Atherosclerosis 2011, 217, 525–530. [Google Scholar] [CrossRef]
- Kosti, R.I.; Panagiotakos, D.B.; Mihas, C.C.; Alevizos, A.; Zampelas, A.; Mariolis, A.; Tountas, Y. Dietary Habits, Physical Activity and Prevalence of Overweight/Obesity among Adolescents in Greece: The Vyronas Study. Med. Sci. Monit. 2007, 13, CR437-444. [Google Scholar]
- Krassas, G.E.; Tzotzas, T.; Tsametis, C.; Konstantinidis, T. Prevalence and Trends in Overweight and Obesity among Children and Adolescents in Thessaloniki, Greece. J. Pediatr. Endocrinol. Metab. 2001, 14 (Suppl. S5), 1319–1326; discussion 1365. [Google Scholar] [PubMed]
- Karachaliou, F.; Vlachopapadopoulou, E.; Psaltopoulou, T.; Manios, Y.; Koutsouki, D.; Bogdanis, G.; Carayianni, V.; Sergentanis, T.; Hatzakis, A.; Michalacos, S. Prevalence of Asthma Symptoms and Association with Obesity, Sedentary Lifestyle and Sociodemographic Factors: Data from the Hellenic National Action Plan for the Assessment, Prevention and Treatment of Childhood Obesity (MIS301205). J. Asthma 2020, 57, 55–61. [Google Scholar] [CrossRef]
- Manios, Y.; Vlachopapadopoulou, E.; Moschonis, G.; Karachaliou, F.; Psaltopoulou, T.; Koutsouki, D.; Bogdanis, G.; Carayanni, V.; Hatzakis, A.; Michalacos, S. Utility and applicability of the “Childhood Obesity Risk Evaluation” (CORE)-index in predicting obesity in childhood and adolescence in Greece from early life: The “National Action Plan for Public Health”. Eur. J. Pediatr. 2016, 175, 1989–1996. [Google Scholar] [CrossRef]
- Moschonis, G.; De Lauzon-Guillain, B.; Jones, L.; Oliveira, A.; Lambrinou, C.-P.; Damianidi, L.; Lioret, S.; Moreira, P.; Lopes, C.; Emmett, P.; et al. The Effect of Early Feeding Practices on Growth Indices and Obesity at Preschool Children from Four European Countries and UK Schoolchildren and Adolescents. Eur. J. Pediatr. 2017, 176, 1181–1192. [Google Scholar] [CrossRef] [PubMed]
- Tokmakidis, S.P.; Kasambalis, A.; Christodoulos, A.D. Fitness Levels of Greek Primary Schoolchildren in Relationship to Overweight and Obesity. Eur. J. Pediatr. 2006, 165, 867–874. [Google Scholar] [CrossRef]
- Tambalis, K.D.; Panagiotakos, D.B.; Sidossis, L.S. Greek Children Living in Rural Areas Are Heavier but Fitter Compared to Their Urban Counterparts: A Comparative, Time-Series (1997–2008) Analysis. J. Rural Health 2011, 27, 270–277. [Google Scholar] [CrossRef] [PubMed]
- Magkos, F.; Manios, Y.; Christakis, G.; Kafatos, A.G. Age-Dependent Changes in Body Size of Greek Boys from 1982 to 2002. Obesity 2006, 14, 289–294. [Google Scholar] [CrossRef]
- Pavlidou, E.; Papandreou, D.; Taha, Z.; Mantzorou, M.; Tyrovolas, S.; Kiortsis, D.N.; Psara, E.; Papadopoulou, S.K.; Yfantis, M.; Spanoudaki, M.; et al. Association of Maternal Pre-Pregnancy Overweight and Obesity with Childhood Anthropometric Factors and Perinatal and Postnatal Outcomes: A Cross-Sectional Study. Nutrients 2023, 15, 3384. [Google Scholar] [CrossRef]
- Chatzinikola, C.; Papavasileiou, V.; Koutelidakis, A. Mediterranean Diet Adherence and Physical Activity Level in AdolescentsDuring the Lockdown in the COVID-19 Pandemic: A Cross-sectionalStudy in Greek Island of Rhodes. CNF 2023, 19, 469–477. [Google Scholar] [CrossRef]
- Pappa, T.; Jelastopoulou, E. Child Obesity in Regional Greece, and Assessment of Its Risk Factors. Arch. Hellen. Med. 2022, 39, 781–789. [Google Scholar]
- Makri, R.; Katsoulis, M.; Fotiou, A.; Kanavou, E.; Stavrou, M.; Richardson, C.; Kanellopoulou, A.; Orfanos, P.; Benetou, V.; Kokkevi, A. Prevalence of Overweight and Obesity and Associated Diet-Related Behaviours and Habits in a Representative Sample of Adolescents in Greece. Child 2022, 9, 119. [Google Scholar] [CrossRef] [PubMed]
- Kostopoulou, E.; Tsekoura, E.; Fouzas, S.; Gkentzi, D.; Jelastopulu, E.; Varvarigou, A. Association of Lifestyle Factors with a High Prevalence of Overweight and Obesity in Greek Children Aged 10–16 Years. Acta Paediatr. 2021, 110, 3356–3364. [Google Scholar] [CrossRef] [PubMed]
- Spinelli, A.; Buoncristiano, M.; Nardone, P.; Starc, G.; Hejgaard, T.; Júlíusson, P.B.; Fismen, A.; Weghuber, D.; Musić Milanović, S.; García-Solano, M.; et al. Thinness, Overweight, and Obesity in 6- to 9-year-old Children from 36 Countries: The World Health Organization European Childhood Obesity Surveillance Initiative—COSI 2015–2017. Obes. Rev. 2021, 22, e13214. [Google Scholar] [CrossRef] [PubMed]
- Kanellopoulou, A.; Kosti, R.I.; Notara, V.; Antonogeorgos, G.; Rojas-Gil, A.P.; Kornilaki, E.N.; Lagiou, A.; Yannakoulia, M.; Panagiotakos, D.B. Dietary Patterns, Weight Perception and Obesity Status, among 10-12-Year-Old Children; an Epidemiological Study in Greece. Child 2021, 8, 626. [Google Scholar] [CrossRef]
- Tsekoura, E.; Kostopoulou, E.; Fouzas, S.; Souris, E.; Gkentzi, D.; Jelastopulu, E.; Varvarigou, A. The Association between Obesity and the Risk for Development of Eating Disorder-A Large-Scale Epidemiological Study. Eur. Rev. Med. Pharmacol. Sci. 2021, 25, 6051–6056. [Google Scholar] [CrossRef]
- Champilomati, G.; Notara, V.; Prapas, C.; Konstantinou, E.; Kordoni, M.; Velentza, A.; Mesimeri, M.; Antonogeorgos, G.; Rojas-Gil, A.P.; Kornilaki, E.N.; et al. Breakfast Consumption and Obesity among Preadolescents: An Epidemiological Study. Pediatr. Int. 2020, 62, 81–88. [Google Scholar] [CrossRef]
- Poulimeneas, D.; Vlachos, D.; Maraki, M.I.; Daskalou, E.; Grammatikopoulou, M.; Karathanou, L.; Kotsias, E.; Tsofliou, F.; Tsigga, M.; Grammatikopoulou, M.G. Diet Quality, Overweight and Daily Monetary Allowance of Greek Adolescents. Int. J. Adolesc. Med. Health 2017, 31, 1–6. [Google Scholar] [CrossRef]
- Nika, T.; Stabouli, S.; Kollios, K.; Papadopoulou-Legbelou, K.; Printza, N.; Antza, C.; Papachristou, F.; Kotsis, V. Obesity and Season as Determinants of High Blood Pressure in a School-Based Screening Study. J. Hum. Hypertens. 2019, 33, 277–285. [Google Scholar] [CrossRef]
- Spinelli, A.; Buoncristiano, M.; Kovacs, V.A.; Yngve, A.; Spiroski, I.; Obreja, G.; Starc, G.; Pérez, N.; Rito, A.I.; Kunešová, M.; et al. Prevalence of Severe Obesity among Primary School Children in 21 European Countries. Obes. Facts 2019, 12, 244–258. [Google Scholar] [CrossRef]
- Zhao, M.; López-Bermejo, A.; Caserta, C.A.; Medeiros, C.C.M.; Kollias, A.; Bassols, J.; Romeo, E.L.; Ramos, T.D.A.; Stergiou, G.S.; Yang, L.; et al. Metabolically Healthy Obesity and High Carotid Intima-Media Thickness in Children and Adolescents: International Childhood Vascular Structure Evaluation Consortium. Diabetes Care 2019, 42, 119–125. [Google Scholar] [CrossRef]
- Papoutsakis, C.; Papadakou, E.; Chondronikola, M.; Antonogeorgos, G.; Matziou, V.; Drakouli, M.; Konstantaki, E.; Priftis, K.N. An Obesity-Preventive Lifestyle Score Is Negatively Associated with Pediatric Asthma. Eur. J. Nutr. 2018, 57, 1605–1613. [Google Scholar] [CrossRef]
- Katsa, M.E.; Ioannidis, A.; Zyga, S.; Tsironi, M.; Koutsovitis, P.; Chatzipanagiotou, S.; Panagiotakos, D.; Sachlas, A.; Kolovos, P.; Routsi, K.; et al. The Effect of Nutrition and Sleep Habits on Predisposition for Metabolic Syndrome in Greek Children. J. Pediatr. Nurs. 2018, 40, e2–e8. [Google Scholar] [CrossRef]
- Koulouvaris, P.; Tsolakis, C.; Tsekouras, Y.E.; Donti, O.; Papagelopoulos, P.J. Obesity and Physical Fitness Indices of Children Aged 5-12 Years Living on Remote and Isolated Islands. Rural Remote Health 2018, 18, 4425. [Google Scholar] [CrossRef] [PubMed]
- Tambalis, K.D.; Panagiotakos, D.B.; Psarra, G.; Sidossis, L.S. Current Data in Greek Children Indicate Decreasing Trends of Obesity in the Transition from Childhood to Adolescence; Results from the National Action for Children’s Health (EYZHN) Program. J. Prev. Med. Hyg. 2018, 59, E36–E47. [Google Scholar] [CrossRef] [PubMed]
- Kleanthous, K.; Dermitzaki, E.; Papadimitriou, D.T.; Papaevangelou, V.; Papadimitriou, A. Overweight and Obesity Decreased in Greek Schoolchildren from 2009 to 2012 during the Early Phase of the Economic Crisis. Acta Paediatr. 2016, 105, 200–205. [Google Scholar] [CrossRef] [PubMed]
- Hassapidou, M.; Daskalou, E.; Tsofliou, F.; Tziomalos, K.; Paschaleri, A.; Pagkalos, I.; Tzotzas, T. Prevalence of Overweight and Obesity in Preschool Children in Thessaloniki, Greece. Hormones 2015, 14, 615–622. [Google Scholar] [CrossRef]
- Sourani, M. Cross-Sectional Study on Childhood Obesity and Central Obesity on a Rural Greek Island. Acta Endo 2015, 11, 329–336. [Google Scholar] [CrossRef]
- Karachaliou, M.; Georgiou, V.; Roumeliotaki, T.; Chalkiadaki, G.; Daraki, V.; Koinaki, S.; Dermitzaki, E.; Sarri, K.; Vassilaki, M.; Kogevinas, M.; et al. Association of Trimester-Specific Gestational Weight Gain with Fetal Growth, Offspring Obesity, and Cardiometabolic Traits in Early Childhood. Am. J. Obs. Gynecol. 2015, 212, 502.E1–502.E14. [Google Scholar] [CrossRef]
- Girvalaki, C.; Vardavas, C.; Papandreou, C.; Christaki, G.; Vergetaki, A.; Tsiligianni, I.G.; Hatzis, C.; Kafatos, A. Trends in Metabolic Syndrome Risk Factors among Adolescents in Rural Crete between 1989 and 2011. Hormones 2014, 13, 259–267. [Google Scholar] [CrossRef]
- Manios, Y.; Moschonis, G.; Chrousos, G.P.; Lionis, C.; Mougios, V.; Kantilafti, M.; Tzotzola, V.; Skenderi, K.P.; Petridou, A.; Tsalis, G.; et al. The Double Burden of Obesity and Iron Deficiency on Children and Adolescents in Greece: The Healthy Growth Study. J. Hum. Nutr. Diet. 2013, 26, 470–478. [Google Scholar] [CrossRef]
- Tambalis, K.D.; Panagiotakos, D.B.; Kavouras, S.A.; Papoutsakis, S.; Sidossis, L.S. Higher Prevalence of Obesity in Greek Children Living in Rural Areas despite Increased Levels of Physical Activity. J. Paediatr. Child. Health 2013, 49, 769–774. [Google Scholar] [CrossRef] [PubMed]
- Kollias, A.; Psilopatis, I.; Karagiaouri, E.; Glaraki, M.; Grammatikos, E.; Grammatikos, E.E.; Garoufi, A.; Stergiou, G.S. Adiposity, Blood Pressure, and Carotid Intima-Media Thickness in Greek Adolescents. Obesity 2013, 21, 1013–1017. [Google Scholar] [CrossRef]
- Chalkias, C.; Papadopoulos, A.G.; Kalogeropoulos, K.; Tambalis, K.; Psarra, G.; Sidossis, L. Geographical Heterogeneity of the Relationship between Childhood Obesity and Socio-Environmental Status: Empirical Evidence from Athens, Greece. Appl. Geogr. 2013, 37, 34–43. [Google Scholar] [CrossRef]
- Vik, F.N.; Bjørnarå, H.B.; Overby, N.C.; Lien, N.; Androutsos, O.; Maes, L.; Jan, N.; Kovacs, E.; Moreno, L.A.; Dössegger, A.; et al. Associations between Eating Meals, Watching TV While Eating Meals and Weight Status among Children, Ages 10-12 Years in Eight European Countries: The ENERGY Cross-Sectional Study. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 58. [Google Scholar] [CrossRef]
- Antonogeorgos, G.; Papadimitriou, A.; Panagiotakos, D.B.; Priftis, K.N.; Nicolaidou, P. Association of Extracurricular Sports Participation with Obesity in Greek Children. J. Sports Med. Phys. Fit. 2011, 51, 121–127. [Google Scholar]
- Kontogianni, M.D.; Farmaki, A.-E.; Vidra, N.; Sofrona, S.; Magkanari, F.; Yannakoulia, M. Associations between Lifestyle Patterns and Body Mass Index in a Sample of Greek Children and Adolescents. J. Am. Diet. Assoc. 2010, 110, 215–221. [Google Scholar] [CrossRef]
- Tsioufis, C.; Tsiachris, D.; Dimitriadis, K.; Thomopoulos, C.; Syrseloudis, D.; Andrikou, E.; Chatzis, D.; Taxiarchou, E.; Selima, M.; Mazaraki, A.; et al. Leontio Lyceum ALbuminuria (3L Study) Epidemiological Study: Aims, Design and Preliminary Findings. Hell. J. Cardiol. 2009, 50, 476–483. [Google Scholar]
- Papandreou, D.; Rousso, I.; Makedou, A.; Arvanitidou, M.; Mavromichalis, I. Association of Blood Pressure, Obesity and Serum Homocysteine Levels in Healthy Children. Acta Paediatr. 2007, 96, 1819–1823. [Google Scholar] [CrossRef]
- Tokmakidis, S.P.; Christodoulos, A.D.; Mantzouranis, N.I. Validity of Self-Reported Anthropometric Values Used to Assess Body Mass Index and Estimate Obesity in Greek School Children. J. Adolesc. Health 2007, 40, 305–310. [Google Scholar] [CrossRef]
- Papoutsakis, C.P.; Vidra, N.V.; Hatzopoulou, I.; Tzirkalli, M.; Farmaki, A.-E.; Evagelidaki, E.; Kapravelou, G.; Kontele, I.G.; Skenderi, K.P.; Yannakoulia, M.; et al. The Gene-Diet Attica Investigation on Childhood Obesity (GENDAI): Overview of the Study Design. Clin. Chem. Lab. Med. 2007, 45, 309–315. [Google Scholar] [CrossRef]
- Stabouli, S.; Kotsis, V.; Papamichael, C.; Constantopoulos, A.; Zakopoulos, N. Adolescent Obesity Is Associated with High Ambulatory Blood Pressure and Increased Carotid Intimal-Medial Thickness. J. Pediatr. 2005, 147, 651–656. [Google Scholar] [CrossRef] [PubMed]
- Kastorini, C.-M.; Critselis, E.; Zota, D.; Coritsidis, A.L.; Nagarajan, M.K.; Papadimitriou, E.; Belogianni, K.; Benetou, V.; Linos, A. Greek National Dietary Guidelines Scientific Team National Dietary Guidelines of Greece for Children and Adolescents: A Tool for Promoting Healthy Eating Habits. Public Health Nutr. 2019, 22, 2688–2699. [Google Scholar] [CrossRef]
- Suggs, L.S.; McIntyre, C. European Union Public Opinion on Policy Measures to Address Childhood Overweight and Obesity. J. Public Health Pol. 2011, 32, 91–106. [Google Scholar] [CrossRef]
- Oldridge-Turner, K.; Kokkorou, M.; Vlad, I.; Klepp, K.-I.; Rutter, H.; Helleve, A.; Fanian, D.; Sing, F.; O’Mara, J.; Mitrou, G.; et al. Scan of Physical Activity Policy Actions in Europe: Lessons Learned from Populating the MOVING Database. Obes. Rev. 2023, 24, e13523. [Google Scholar] [CrossRef] [PubMed]
- Kovacs, V.A.; Messing, S.; Sandu, P.; Nardone, P.; Pizzi, E.; Hassapidou, M.; Brukalo, K.; Tecklenburg, E.; Abu-Omar, K. Improving the Food Environment in Kindergartens and Schools: An Overview of Policies and Policy Opportunities in Europe. Food Policy 2020, 96, 101848. [Google Scholar] [CrossRef]
- Unicef; Greek Government. National Action Plan Against Childhood Obesity; Unicef: New York, NY, USA, 2023. Available online: https://www.unicef.org/greece/en/topics/childhood-obesity (accessed on 15 September 2023).
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [PubMed]
- de Onis, M.; Onyango, A.W.; Borghi, E.; Siyam, A.; Nishida, C.; Siekmann, J. Development of a WHO growth reference for school-aged children and adolescents. Bull. World Health Organ. 2007, 85, 660–667. [Google Scholar] [CrossRef]
- Lurbe, E.; Agabiti-Rosei, E.; Cruickshank, J.K.; Dominiczak, A.; Erdine, S.; Hirth, A.; Invitti, C.; Litwin, M.; Mancia, G.; Pall, D.; et al. 2016 European Society of Hypertension guidelines for the management of high blood pressure in children and adolescents. J. Hypertens. 2016, 34, 1887–1920. [Google Scholar] [CrossRef] [PubMed]
- McCarthy, H.; Jarrett, K.; Crawley, H. The development of waist circumference percentiles in British children aged 5.0–16.9 y. Eur. J. Clin. Nutr. 2001, 55, 902–907. [Google Scholar] [CrossRef]
- Chrissini, M.K.; Panagiotakos, D.B. Public Health Interventions Tackling Childhood Obesity at European Level: A Literature Review. Prev. Med. Rep. 2022, 30, 102068. [Google Scholar] [CrossRef]
- La Moncloa. Plan Estratégico Nacional para la Reducción de la Obesidad Infantil (2022–2030); La Moncloa: Madrid, Spain, 2022. [Google Scholar]
Author (Year) [Ref] | Country | Study Design | Population | Purpose | Obesity Definition Used | Key Results |
---|---|---|---|---|---|---|
Grigorakis et al. (2016) [47] | Greece | Cross-sectional study | 124.113 Greek children attending the third and fifth grades of primary school (mean age: 9.9 ± 1.1 years). A total of 50.8% (n = 63.064) were boys, and 49.2% (n = 61.049) were girls. | To determine the prevalence of central obesity and its association with dietary and physical activity habits in a large sample of Greek schoolchildren participating in a nationwide school-based health survey. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | More boys were obese compared to girls. Boys: Obesity = 9.6%. Girls: Obesity = 8.0%. Total obesity: 8.8%. |
Bastida et al. (2023) [48] | Multicenter | Descriptive study (Intervention) | 9–12-year-old children. Subjects = 156; female (%) = 59.6; age (years ± sd) = 10.12 ± 1.45. | The paper presents OCARIoT, a solution designed to prevent obesity onset through the promotion of healthy habits among children aged 9–12 while solving the current limitations of similar systems. | The stratification for nutritional status was based on the World Health Organization (WHO) BMI-for-age levels. | GREECE. Obesity = 5.8%. |
Andrie et al. (2021) [49] | Greece (Athens) | Epidemiological Study (Case–control) | A total of 414 adolescents (who attended the tertiary “P. & A. Kyriakou” Children’s Hospital in Athens, Greece) with a mean age (±SD) of 15.09 ± 1.81 years participated in this study. Among them, 233 (56.3%) were girls, while 181 (43.7%) were boys. The control group of adolescents with normal weight was recruited from outpatient services of the same hospital. | The study aims to identify psychosocial factors associated with excess body weight of adolescents. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 25.1% of the enrolled adolescents were in the obese range. Boys comprised about half of the obese group. |
Kollias et al. (2011) [50] | Greece (Eastern Attica, Kalivia) | Cross-sectional study | A total of 780 students (9.2 ± 1.8 years old (age range: 6–13 years)) of middle socio-economic class from all seven schools of the municipality of Kalivia were assessed: 415 boys (9.1 ± 1.8 years old) and 365 girls (9.3 ± 1.8). | To examine the prevalence and determinants of obesity and associated cardiovascular risk factors in a sample of Greek children. | These proposed cut-offs for overweight and obesity, adapted by the International Obesity Task Force (IOTF), correspond to an adult BMI of 25 and 30 kg/m2. | Approximately 8% of the participants were obese. The overall prevalence of obesity in the study population was 65 out of 780 (8.3%). The obese state was more frequent among females in comparison to males (33.7% vs. 26.7%, respectively). |
Malindretos et al. (2009) [51] | Greece (Thesprotia) | Cross-sectional study | 107 children aged 12.2 ± 0.78 years living in Thesprotia, Greece: 50 males and 57 females. | To estimate the prevalence of obesity in school-aged children living in one of the poorest districts of Europe, as well as to estimate the association between the frequency of obesity observed in these children and their parents. | Body mass index (BMI) measurements were adjusted for age and sex (according to NHANES I). | A total of 17 children (16%) were obese. Approximately half of them were males (eight boys), while the rest were females (nine girls). |
Sergentanis et al. (2021) [52] | Multicenter | Cross-sectional study | This study analyzed 8785 adolescents aged 14–17.9 years old from the EU NET ADB survey. | This study attempts to evaluate the association between cyberbullying victimization and overweight/obesity in adolescents participating in the European Network for Addictive Behavior (EU NET ADB) survey. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | 1516 of the adolescents enrolled in the study were from Greece; among them 49 were obese (obesity rate = 3.2%). |
Athanasopoulos et al. (2011) [53] | Greece (Kalymnos) | Cross-sectional study | 232 schoolchildren from two primary and two secondary public schools on the island of Kalymnos. Mean age 12.2 ± 2.6 years; 43.9% (n = 102) male. | To estimate the prevalence of increased weight in children and adolescents on a remote Greek island in the Aegean Sea and to assess the factors influencing this phenomenon. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | In total 8.1% (n = 19) of the participants were classified as obese. |
Jelastopulu et al. (2012) [54] | Greece (Patras) | Cross-sectional study | A total of 200 children (10–13 years old) from primary schools across Patras were assessed: a total of 92 were boys, while 108 were girls; mean age = 11.2 years. | The purpose of this cross-sectional study was (i) to assess in an objective way the weight status (BMI and waist circumference [WC]) in a representative, random sample of children attending the last two grades of primary schools in an urban region; (ii) to assess the rate of overweight and obesity by sex in these age groups; and (iii) to identify the most significant associations and possible risk factors for being overweight or obese among nutritional attitudes, daily activities, and parental characteristics. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | The overall prevalence of obesity was 10.5%. The prevalence of obesity in boys was 13%, and in girls, it was 8.3%. Boys (n = 92): Obese 13% (n = 12) |
Manios et al. (2009) [55] | Greece | Cross-sectional study | 2374 children aged 1–5 years, recruited in the study from a representative sample of randomly selected public and private nurseries as well as day-care centers within municipalities in five counties of Greece. | To evaluate the effect of preschoolers’ television (TV) watching time on the prevalence of obesity even after controlling for their total energy intake and their physical activity status. | Obesity was defined using the age- and sex-specific growth charts of the Centers for Disease Control and Prevention (CDC). | A total of 17.6% of participants were obese. |
Kyriazis et al. (2012) [56] | Greece | Cross-sectional study | 2374 students (1206 males and 1168 females) 6 to 12 years old. | To evaluate the prevalence of overweight and obesity in children. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | BMI measurements showed that 7.3% of the children were classified as obese. The boys were obese in a higher percentage than the girls (9.2% vs. 5.3%). The obesity rates were gradually reduced as the children were growing older: for the 6–9-year-old group, the obesity percentage was 10.3%, while in the 10–12-year-old group, the percentage was 3.3%. |
Mavrakanas et al. (2009) [57] | Greece (North) | Cross-sectional study | A total of 572 schoolchildren were examined (287 boys and 285 girls). The mean age of the children in the study was 7.3 ± 2.0 years. | To determine the prevalence of childhood obesity and elevated blood pressure (BP) in a rural population of northern Greece. | Obesity was defined using the following methods: (i) BMI charts of the French society of Paediatrics (FR97) and (ii) US95 BMI charts produced by the Centers for Disease Control in 2000. | Obesity in males: 4–5.9 years (n = 52): 17.3% FR97-BMI; 17.3% US95-BMI; 6–6.9 years (n = 85): 28.2% FR97-BMI; 20.0% US95-BMI; 8–8.9 years (n = 67): 37.3% FR97-BMI; 29.9% US95-BMI; 10–10.9 years (n = 83): 39.8% FR97-BMI; 26.5% US95-BMI; Total (n287): 31.7% FR97-BMI; 23.7% US95-BMI. Obesity in females: 4–5.9 years (n = 69): 17.4% FR97-BMI; 14.5% US95-BMI; 6–6.9 years (n = 63): 28.6% FR97-BMI; 15.9% US95-BMI; 8–8.9 years (n = 87): 48.3% FR97-BMI; 27.6% US95-BMI; 10–10.9 years (n = 66): 42.4% FR97-BMI; 24.2% US95-BMI; TOTAL (n285): 35.1% FR97-BMI; 21.1% US95-BMI. |
Manios et al. (2018) [58] | Multicenter | Cross-sectional study | 7554 preschool-aged children (born between January 2007 and December 2008): 51.9% boys and 48.1% girls; mean age of total sample (years ± sd): 4.7 ± 0.4. | To record the prevalence of overweight and obesity among preschoolers across six European countries in relation to sociodemographic and family factors. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Prevalence of obesity among preschool-aged children in Greece: 5.7%. |
Margetaki et al. (2022) [59] | Greece (Crete, Heraklion) | Longitudinal study | The sample size for growth analyses is 747 children: the first contact was made at the time of the first examination: mean age ± SD = 11.96 ± 1.49 weeks; boys = 53.7% (n = 401); several contacts followed (6th month of pregnancy, at birth, 9 months, 1st year, and 4 and 6 years after birth). For all subsequent analyses, the sample sizes varied depending on the availability of the outcome data. Mean age at 4 years: 4.2 ± 0.2 (n = 717); mean age at 6 years: 6.6 ± 0.3 (n = 501). | To investigate the associations of prenatal and postnatal exposure to antibiotics on childhood growth and obesity, as well as cardiovascular traits, at ages 4 and 6 years. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | 4 years: Obesity = 7.8% (n = 55). 6 years: Obesity = 12.0% (n = 60) |
Tragomalou et al. (2020) [60] | Greece | Descriptive study (Intervention) | 2400 children and adolescents aged 2–18 years attending the out-patient clinic for the prevention and management of overweight and obesity in childhood and adolescence; mean age ± SEM: 10.10 ± 0.09 years; 1088 males and 1312 females. | To evaluate the effectiveness of the interventions suggested by the electronic system in reducing the prevalence of obesity and overweight and to present the progress of a large number of children and adolescents who have followed the personalized multi-disciplinary management plan specified by the ‘National e-Health Program for the Prevention and Management of Overweight and Obesity in Childhood and Adolescence’. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Total: Obesity (n = 1370): 57.1%. Males (n = 1088): Obesity: 66.3%. Females (n = 1312): Obesity: 49.5%. A significantly higher number of boys had obesity compared to girls (66.3% vs. 49.5%). There was no significant difference in BMI category between prepubertal and pubertal children. |
Hassapidou et al. (2009) [61] | Greece (Thessaloniki) | Cross-sectional study | 266 schoolchildren (130 boys and 136 girls): 236 Greeks and30 immigrants. Mean Age (years ± sd): Total = 9.98 ± 0.95; Greek = 9.92 ± 0.92; immigrants = 10.40 ± 1.07. | To investigate sociodemographic, ethnic, and dietary factors associated with the development of childhood obesity. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | More than 11.6% of the boys and 10.9% of the girls were obese. Overall Obesity (%) = 11.7. |
Tsolakis et al. (2022) [62] | Greece (regional unit of West Attica) | Epidemiological study | 399 students (187 boys and 212 girls) from four schools, aged 8–12. | To investigate the relationship of body mass index (BMI) with muscle and cardiorespiratory fitness in children living within rural areas in Greece. | BMI was calculated. Students’ weight status was classified according to the BMI cut-off points of the World Health Organization (WHO) 2007 [114] norms. | The prevalence for obese boys and girls was 26.2% and 24.2%, respectively. |
Kosti et al. (2022) [63] | Greece (metropolitan Athens area, Heraklion, and in three main counties of the Peloponnese peninsula: Sparta, Kalamata, and Pyrgos) | Cross-sectional study | 1688 schoolchildren (45.9% boys and 54.1% girls), aged 10–12. Mean age (years ± sd) = 11.20 ± 0.78. | To examine the co-influence of breakfast eating habits, sleep duration, and physical activity on the weight status of children 10–12 years old from several schools in Greece. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 6.5% of the boys and 4.0% of the girls were categorized as children with obesity; mean age of children with obesity (years ± sd) = 11.11 ± 0.75. |
Patsopoulou et al. (2015) [64] | Greece (Larissa) | Cross-sectional study | 451 adolescent students (12–18 years old): 158 males and 293 females. | Investigating the prevalence of overweight and obesity in adolescents and their parents and identifying associated factors among parents’ and adolescents’ demographics, eating habits, and parental style. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 4.2% of the adolescents were obese. Obesity Rate: 8.9% for males (n = 14/158) and 2.0% for females (n = 6/293) |
Farajian et al. (2011) [65] | Greece (Attica, Macedonia, Peloponnisos, Sterea Ellada and Evia, Ipeiros, Thessalia, Thrace, Aegean islands, Ionian islands, and Crete) | Cross-sectional study | 4786 children, aged 10 to 12 years old. | To provide current national data on overweight and obesity prevalence in preadolescent schoolchildren (aged 10–12 years old) in Greece and, additionally, to evaluate the quality of children’s diets by assessing the degree of adherence to the Mediterranean diet and its association with the obesity rates. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | The overall prevalence of childhood obesity (OB) was 11.7%. The prevalence of obesity was higher in boys than girls; additionally, no differences were found between different age groups (10, 11, and 12 years old) concerning OB prevalence for both genders and the overall sample. |
Kosti et al. (2007) [66] | Greece (Vyronas) | Cross-sectional study | 2008 students (1021 male and 987 female), 12–17 years of age (7–12th grade). | To evaluate the dietary habits and some lifestyle characteristics of Greek adolescents 12–17 years of age in relation to the prevalence of overweight/obesity. | Overweight and obesity were defined using the international body mass index (BMI) cut-off points established for children and youths. | Overall, 4.4% of the boys and 1.7% of the girls were obese. |
Krassas et al. (2011) [67] | Greece (Thessaloniki) | Cross-sectional study | 2458 schoolchildren aged 6 to 17 years from 27 primary and secondary public schools; 6–10-year-old group = 1226 children; 11–17-year-old group = 1232 children. | To investigate the prevalence of overweight and obesity among children and adolescents in the city of Thessaloniki and evaluate the trends in Greece by comparing the results to those of other cross-sectional studies. | The estimations of the prevalence of overweight and obesity are based on recently established international BMI percentile curves and cut-off points from 2 to 18 years. | In the younger group (6–10 yr), the prevalence of obesity was 5.6%, while for adolescents (11–17 yr) it was 2.6%. The obesity prevalence for males was 5.1%, while for girls, it was 3.2%. |
Karachaliou et al. (2020) [68] | Greece | Cross-sectional study | 11,751 children from primary and secondary schools located in several municipalities in Greece. 49.3% boys (n = 5798); 50.7% girls (n = 5953). Mean age (years ± sd): 9.1 ± 1.7. | To evaluate the prevalence of asthma symptoms in a representative sample of Greek schoolchildren and to evaluate its association with overweight/obesity as well as other socio-economic, demographic, and lifestyle factors. | BMI was calculated, and International Obesity Task Force (IOTF) cutoffs were used to classify the children’s weight status. | A total of 10.5% (n = 1228) of the children in the study sample were obese, and 26% (n = 3050) were overweight. |
Manios et al. (2016) [69] | Greece | Cross-sectional study (tool validation) | 5946 schoolchildren and adolescents in the ages from 6 to 15 years: 50.9% females (n = 3024) and 49.1% males (n = 2922); mean age (sd): total = 11.1 years (2.7); girls = 11.1 years (2.7); boys = 11.1 years (2.7). | To examine the utility and applicability of the “Childhood Obesity Risk Evaluation (CORE)” index as a screening tool for the early prediction of obesity in childhood and adolescence. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Total obesity rate = 9.1% (n = 543) |
Moschonis et al. (2017) [70] | Multicenter | Cross-sectional study | Greek population: 309 4-year-old children. Data available for newborns between October 2005 and October 2007 in two different clinics in Athens. | To examine the association of feeding practices during infancy with growth and adiposity indices in preschool children from four European countries and in UK schoolchildren and adolescents. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity = approx. 6%. |
Tokmakidis et al. (2006) [71] | Greece (Alexandroupolis and Agios Stefanos) | Cross-sectional study | 709 schoolchildren (328 girls and 381 boys) of elementary schools; mean age (years ± sd) = 8.9 ± 1.6. | To provide estimates for overweight and obesity in a sample of Greek schoolchildren and to determine their possible relation with selected motor and health-related fitness parameters. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify children weight’s status. | A total of 14.8% of the participants were characterized as obese, without differences between genders. Girls (n = 328): Obese = 13.4% (n = 44). |
Tambalis et al. (2011) [72] | Greece | Cross-sectional study | 725,163 children 8 to 9 years old attending nearly all schools of primary education in Greece: 51% boys (n = 370,901) and 49% girls (n = 354,262). | To compare 12-year (1997–2008) trends in the distribution of body mass index (BMI) status and physical fitness test performances among 8–9-year-old Greek children living in rural and urban areas. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Although the prevalence of obese boys and girls was similar between rural and urban areas in 1997, in the last year of the investigated period, the prevalence of obesity was greater in rural areas, in both boys and girls. In exploring the distribution of childhood obesity in the latest year by prefecture, some extensive areas of high rates, located primarily in the Aegean Sea and North Greece, have been found. Boys born in 1997: Urban: 19.7% overweight and 8.1% obese. Rural: 17.7% overweight and 8.2% obese. Boys born in 2008: Urban: 25.5% overweight and12.4% obese. Rural: 23.6% overweight; 14.1% obese. Girls born in 1997: Urban: 20.2% overweight and 7.2% obese Rural: 19.4% overweight and 7.0% obese. Girls born in 2008: Urban: 29.5% overweight and 11.3% obese. Rural: 28.6% overweight and 13.0% obese. |
Magkos et al. (2006) [73] | Greece (county of Iraklio, Crete) | Epidemiological study | A total of 204 and 106 boys 9 years old, 163 and 274 boys 12 years old, and 161 and 240 boys 15 years old were randomly recruited in 1982 and 2002. | To examine the relationship between age and 20-year changes in the anthropometric characteristics of Greek boys. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | With respect to individual age groups, differences arose only among the 9- and 12-year-olds, in whom the prevalence of obesity more than tripled from 1982 to 2002. In 15-year-old boys, however, no significant differences could be observed. |
Pavlidou et al. (2023) [74] | Greece | Cross-sectional study | 5198 children aged 2–5 years (and their paired mothers, who were selected 2–5 years postpartum). Mean children’s age (±sd) = 4.1 ± 1.2 years (range: 2.0–5.5 years). Children’s gender, 49.3% = male and 50.7% = female. | To evaluate potential associations between women’s pre-pregnancy excess body weight and childhood anthropometric characteristics, as well as perinatal and postnatal outcomes. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 7.9% of the children were affected by obesity. |
Chatzinikola et al. (2023) [75] | Greece (Rhodes) | Cross-sectional study | 227 students (from one high school in the city of Rhodes, and the fifth high school of Rhodes), aged from 11 to 15 years old: 103 boys (45.4%) and 124 girls (54.6%). Mean age (years): total = 13 (12–14); boys = 13 (13–14); girls = 12 (12–14). | To investigate the adherence to the Mediterranean diet of adolescents that attend a high school on a Mediterranean island in the city of Rhodes, Greece, during the lockdown due to the COVID-19 pandemic. | BMI was calculated, and both International Obesity Task Force (IOTF) and WHO cut-offs were used to classify the children’s weight status. | Obesity (using IOTF cutoffs) = 5.3%; Obesity (using WHO cutoffs) = 8.8%. |
Pappa et al. (2022) [76] | Greece | Cross-sectional study | 190 primary schoolchildren, aged 6–12 years. | Τo capture the prevalence of childhood obesity and to assess its risk factors. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity prevalence = 10.5%. An increase in obesity was observed at 6–10 years, and a difference between the sexes was apparent, with higher rates of obesity observed in boys. |
Makri et al. (2022) [77] | Greece (Attica and Thessaloniki; other regions not specified) | Cross-sectional study | Imputed data sample: 3816 adolescent students, a nationally representative sample of 11, 13, and 15-year-old students selected from the 2018 Greek arm of the HBSC study data. Gender: boys: 1898 (49.7%); girls: 1918 (50.3%). Age group: 11-year-olds: 1216 (31.9%); 13-year-olds: 1299 (34.0%); 15-year-olds: 1301 (34.1%); Region: Attica: 1427 (37.4%); Thessaloniki: 557 (14.6%); other: 1832 (48.0%); Place of birth: Greece: 3675 (96.3%); other: 141 (3.7%); Grade: Sixth: 1241 (32.5%); eight: 1307 (34.3%); tenth: 1268 (33.2%). The prevalence of obesity has also been calculated for the complete data sample (n = 3366), which is the sample of children with complete data available. | To estimate the prevalence of overweight and obesity in a nationally representative sample of adolescents aged 11-, 13-, and 15 years old living in Greece during 2018 and to further explore its association with diet-related behaviors and habits. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | In the total sample, the prevalence of obesity was 5.3%; it was 7.3% among boys and 3.4% among girls. In the complete data sample (n = 3366), the prevalence of obesity was 5.2%: 6.9% among boys and 3.6% among girls. Obesity: All ages (n = 3816): total: 5.3%; boys: 7.3%; girls: 3.4%. 11-year-olds (n = 1216): total: 5.7%; boys: 7.2%; girls: 4.2%. 13-year-olds (n = 1299): total: 4.9%; boys: 6.6%; girls: 3.4%. 15-year-olds (n = 1301): total: 5.4%; boys: 8.1%; girls: 2.6%. |
Kostopoulou et al. (2021) [78] | Greece (Western Greece: Achaia, Ilia and Aitoloakarnania) | Cross-sectional study | 3504 children aged 10–16 years, representing 10.2% of the children with the respective age range in the region of Western Greece. Those attending the fifth and sixth grades of primary schools, 10–12 years old, and the first, second, and third grades of secondary schools, 13–16 years old. Mean age in years ± sd (age range): 12.8 ± 1.4 (10–16). Boys = 1759 (50.2%). Place of residence: Urban (≥2.000 residents) = 2295 (65.5%) and rural (<2.000 residents) = 1209 (34.5%) | To evaluate the prevalence of overweight, obesity, and central adiposity through anthropometric and body composition parameters in a large sample of children and adolescents from Western Greece and to determine its cross-sectional association with sociodemographic and lifestyle factors, presumably related to overweight and obesity in children. | Obesity was defined using the Centers for Disease Control and Prevention (CDC) and the International Obesity Taskforce (IOTF) criteria. | A total of 12.1% had obesity according to the CDC criteria, whereas based on the IOTF criteria, 7.2% had obesity. Using the CDC criteria, 15.6% of the boys were obese as compared to 8.6% of the girls; using the IOTF criteria, 9.5% of the boys were obese as compared to 4.9% of the girls. |
Spinelli et al. (2021) [79] | Multicenter | Cross-sectional study | (COSI 2015–2017) Countries could select one or more of the following age groups: 6.0–6.9, 7.0–7.9, 8.0–8.9, or 9.0–9.9 years. Children enrolled in Greece: 6-year-olds = 0; 7-year-olds = 1898; 8-year-olds = 0; 9-year-olds = 1874 | To assess the weight status of primary school-aged children living in 36 countries and to compare the burden of childhood overweight, obesity, and thinness in different areas of the WHO European Region—namely Northern, Eastern, and Southern Europe and Central Asia. | BMI was calculated, and both International Obesity Task Force (IOTF) and WHO cut-offs were used to classify the children’s weight status. | Obesity (WHO criteria) COSI round 4 (2015–2017): Total: boys = 20.1%; girls = 14.3%. Boys: 7-year-olds = 20.1%; 9-year-olds = 21.8%. Girls: 7-year-olds = 14.3%; 9-year-old = 12.2%. |
Kanellopoulou et al. (2021) [80] | Greece (Attica, Crete, and Peloponnese) | Cross-sectional study | 1700 schoolchildren (10–12 years old). Boys = 781 (45.9%). Girls = 919 (54.1%). | To investigate the association between children’s adherence to a posteriori-defined dietary patterns and obesity status, in relation to weight perception, in Greece. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 87 participants were obese --> obesity rate = 5.1%. |
Tsekoura et al. (2021) [81] | Greece (Western Greece) | Cross-sectional study | 3504 students 10–16 years old; mean age (years ± SD): 12.8 ± 1.4. Males: 50.2% (n = 1759) and females: 49.8% (n = 1745). Children of primary (fifth and sixth graders) and secondary education were included in the study. | To identify the risk for developing eating disorders in children and adolescents with normal and excessive body weight. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity = 12.1% (n = 424). |
Champilomati et al. (2020) [82] | Greece (metropolitan Athens area and Heraklion city area, Crete) | Cross-sectional study | 1728 children (785 males), aged 10–12 years of age, attending the fifth and sixth grades of primary school. | To examine the different types of foods preferred for breakfast during childhood and their association with the development of obesity. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity: males = 5.3%; females = 3.1%. Mean age of obese children (years ± sd) = 11 ± 10.7. A total of 52.3% of obese children were boys. |
Poulimeneas et al. (2017) [83] | Greece | Cross-sectional study | 172 adolescents aged 10–15 years old. Boys = 95 (55.2%), mean age (years ± sd): 12.2 ± 1.4, and residence (urban/rural): 38/57; Girls = 77, mean age (years ± sd): 12.4 ± 1.5, and residence (urban/rural): 24/53. | To investigate the cross-correlates of pocket money on diet quality and the weight status of Greek youngsters. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity: total = 4.1%; boys = 6.3% (n = 6); girls = 1.3% (n = 1). |
Nika et al. (2019) [84] | Greece (Kastoria) | Cross-sectional study | 2832 students (children and adolescents) aged 6–18 years old. Mean age (years ± sd): 11.22 ± 3.16. Sex (male/female): 1413/1419 (49.9%/50.1%). | To assess the prevalence of high BP levels according to the European Society of Hypertension (ESH) 2016 guidelines [115] and to investigate risk factors for BP elevation in childhood and adolescence. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity = 8.5% (n = 240). There was no difference in the prevalence of obesity between urban and rural areas, or among seasons of screening. |
Spinelli et al. (2019) [85] | Multicenter | Cross-sectional study | (COSI 2005–2013) Countries could select one or more of the following age groups: 6.0–6.9, 7.0–7.9, 8.0–8.9, or 9.0–9.9 years. Children enrolled in Greece: 10,616, Mean age (years): round 1 = 7.9 and round 2 = 7.9. | To assess the prevalence of severe obesity in 6- to 9-year-old schoolchildren from 21 countries of the WHO European Region, which participated in the WHO European Childhood Obesity Surveillance Initiative (COSI) data collection process between 2007 and 2013. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Prevalence of severe obesity—according to the WHO definition: boys = 7.2%, girls = 2.4%, and total = 4.8%; Prevalence of severe obesity— according to IOTF definition: boys = 2.8%, girls = 2.7%, and total = 2.8%. |
Zhao et al. (2019) [86] | Multicenter | Cross-sectional study | 3497 children and adolescents aged 6–17 years for all countries. | To examine the association between “metabolically healthy obesity” (MHO) and high cIMT in children and adolescents using population-based data from five countries. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Greece Total: metabolically healthy obese n = 11 (boys = 54.6%) and metabolically unhealthy obese n = 43 (boys = 60.5%) Age year (sd): metabolically healthy obese = 12.6 (2.8) and metabolically unhealthy obese = 13.3 (1.9). |
Papoutsakis et al. (2018) [87] | Greece (Penteli, Athens) | Cross-sectional study (case–control) | 514 children (217 asthma cases and 297 healthy controls) aged 5–11 years recruited between November 2007 and September 2010 at the Department of Allergy-Pneumonology, Penteli Children’s Hospital, Penteli, Greece, and two municipal multi-clinic centers in Galatsi and Pefki, in the greater area of Athens, Greece. Asthma cases: mean age = 7.7 ± 1.9 and male gender = 133 (61%). Controls: mean age = 7.6 ± 1.8 and male gender = 164 (55%). | To calculate an obesity-preventive lifestyle score comprising eating and physical activity behaviors to assess adherence to pediatric obesity prevention guidelines and evaluate the association of this obesity-preventive lifestyle score on asthma in children. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity = 11.3%. |
Katsa et al. (2018) [88] | Greece (Sparta) | Cross-sectional study | 480 schoolchildren aged 5 to 12 years. Sex: boys 46% (n = 223) and girls 54% (n = 257). Age > 9: 28.5%; 49.8% boys (n = 111) and 43.6% girls (n = 112). | To study the prevalence of MTS in healthy children aged 5 to 12 years old living in Sparta, Greece. | Obesity defined using McCarthy et al.’s (2001) [116] criteria based on age- and sex-specific percentiles. | A total of 13.33% of the children are obese (BMI ≥ 95%) |
Koulouvaris et al. (2018) [89] | Greece (the 18 most remote and isolated islands of the Aegean Sea in Greece) | Cross-sectional study | 463 children, aged 5–12 years, attending 25 public schools. Age group 5–6 years: Mean age male = 5.8 ± 0.38 and female = 5.8 ± 0.39. Age group 7–8 years: mean age male = 7.6 ± 0.50 and female = 7.5 ± 0.50. Age group 9–10 years: mean age male = 9.4 ± 0.49 and female = 9.5 ± 0.51. Age group 11–12 years: mean age male = 11.5 ± 0.50 and female = 11.9 ± 0.75. | First, to assess the prevalence of childhood obesity in 18 remote and isolated Greek islands and, second, to examine the association between BMI and physical fitness indices in children aged 5–12 years. | BMI was calculated, and the World Health Organization (WHO) norms were used to classify the children’s weight status. | The prevalences of obese boys was 23.8%, and for obese girls it was 13.2%. The prevalence of obese children increased progressively with age in both genders with no differences between them. |
Tambalis et al. (2018) [90] | Greece | Cross-sectional study | 336,014 children (51% boys and 49% girls) aged 4 to 17 years old from pre-elementary (4- to 5-year-olds), elementary (6- to 11-year-olds), and middle (12- to 17-year-olds) public and private schools (almost 40% of all schools in Greece). | The aim of the present study is to examine the prevalence of the total and central obesity groups among 4- to 17-year-old children and adolescents as a basis for effective prevention strategies and to investigate whether there is an association between several anthropometric and lifestyle factors and total/central obesity. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity prevalence: Boys: 4 years = 5.8%; 5 years = 8.5%; 6 years = 8.9%; 7 years = 9.2%; 8 years = 10.2%; 9 years = 10.7%; 10 years = 9.0%; 11 years = 8.8%; 12 years = 8.2%; 13 years = 8.1%; 14 years = 8.1%; 15 years = 6.8%; 16 years = 6.7%; 17 years = 6.5%. GIRLS: 4 years = 5.7%; 5 years = 8.3%; 6 years = 9.4%; 7 years = 9.2%; 8 years = 9.7%; 9 years = 9.0%; 10 years = 7.8%; 11 years = 6.4%; 12 years = 5.2%; 13 years = 4.3%; 14 years = 4.3%; 15 years = 3.9%; 16 years = 6.37%; 17 years = 4.3%. Obese girls decreased between the 4-year and 17-year groups and presented lower proportions at the age of 17 years old. In adolescence, obese rates were decreasing in both genders. |
Kleanthous et al. (2016) [91] | Greece (West Attica and Athens) | Epidemiological study | 1327 schoolchildren (702 boys and 625 girls) who took part in the first and last measurements during the 2.5-year study period. The children were in first grade (aged 6–7), fourth grade (aged 9–10), seventh grade (aged 12–13), and tenth grade (aged 15–16). NOVEMBER 2009 |
To examine the body weight status changes in schoolchildren in the Greater Athens area over a period of two and a half years (from November 2009 to May 2012) in the midst of the economic crisis. | Overweight, obesity, and underweight were defined according to the International Obesity Task Force (IOTF). |
During the 2.5-year study period, there was a decrease in the prevalence of overweight and obesity. NOVEMBER 2009 Boy obesity, n (%): first grade: 27 (17.5%); second grade: 15 (9.7%); third grade: 23 (9.7%); fourth grade: 13 (8.4%). Girl obesity, n (%): first grade: 28 (21.4%); second grade: 17 (9.8%); third grade: 7 (4.0%); fourth grade: 5 (3.4%). May 2012 boy obesity, n (%): first grade: 24 (15.5%); second grade: 10 (6.4%); third grade: 20 (8.4%); fourth grade: 6 (3.9%). Girl obesity, n (%): first grade: 39 (29.8%); second grade: 40 (23%); third grade: 31 (17.9%); fourth grade: 17 (11.5%). |
Hassapidou et al. (2015) [92] | Greece (Thessaloniki) | Cross-sectional study | 1006 preschool children: 529 boys and 477 girls aged 2.0–6.0 years old (mean age 3.94 ± 0.87 years). | To assess overweight and obesity status in a sample of preschoolers 2–6 years old in Thessaloniki. | BMI was calculated, and the children’s weight status was defined using the IOTF, WHO, and CDC criteria. | Prevalence of obesity |
Sourani et al. (2015) [93] | Greece (Tinos) | Cross-sectional study | 352 children and adolescent from Tinos island aged 6–11 years (mean age: 8.5 ± 1.7 years). The majority (n = 192; 54.5%) of the study population consisted of boys (girls = 160). Moreover, less than one-fifth (n = 65; 18.5%) of the study population was of immigrant origin. Also, 6–9.9 years were classified as children, and those between 10 and 11 years were classified as preadolescents (young adolescents). Children (6–9.9 years old) (n = 227; 64.5%); total boys = 120; total girls = 107 | To evaluate the prevalence of obesity, as well as visceral obesity, in children and young adolescents in the Greek island of Tinos. | BMI was calculated, and the children’s weight status was defined using the IOTF, WHO, and CDC criteria. |
The prevalence of obesity among the study population children was 8.2% (n = 29). Among boys, the prevalence of obesity was 8.3% (n = 16); similarly, among girls the prevalence of obesity was 8.1% (n = 13). Approximately one-tenth of the children (n = 23; 10.1%) were obese. Among young adolescents the prevalence of obesity was approximately one-tenth (n = 6, 4.8%). No difference in terms of the prevalence of obesity (p = 0.148) between the two age groups was found; moreover, no differences were found with respect to the frequency of obesity between genders. Among Greek participants the prevalence of obesity was 8.71% (mean age: 7.7 ± 1.6), while among foreign immigrants it was 6.15% (mean age: 6.8 ± 1.5). In the Greek population a significant age difference (p = 0.001) among the three groups (normal weight, overweight, and obese) was observed, with the obese group being the youngest ones. This difference did not reach statistical significance among the immigrants. Moreover, among the Greeks, the obese participants were the tallest. Mean age of the total obese group (n = 29) = 7.6 ± 1.6.
Obesity in (%) boys: 6 Y: 19.8; 7 Y: 20.6; 8 Y: 21.6; 9 Y: 22.8; 10 Y: 24.0; 11 Y: 25.1. Obesity (%) in girls: 6 Y: 19.7; 7 Y: 20.5; 8 Y: 21.6; 9 Y: 22.8; 10 Y: 24.1; 11 Y: 25.4. |
Karachaliou et al. (2015) [94] | Greece (Heraklion, Crete) | Longitudinal study (cohort study) | 595 mother–child pairs (contacts with the mothers were at 24 weeks of gestation, at birth, and at 8–10 weeks after delivery, and for the child’s follow-up, it was at the 9th and 18th months, as well as at 4 years of age). | To examine the association of GWG (total and trimester-specific) with offspring birth weight, postnatal growth, obesity, and a range of cardio-metabolic risk factors at 4 years of age (waist circumference, skinfolds, blood pressure, lipids, adiponectin, leptin, and C-reactive protein) in the “Rhea” pregnancy cohort in Crete, Greece. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | The prevalence of obesity was 1% at 2 years of age, 3% at 3 years, and 4% at 4 years of age, respectively. |
Giravalaki et al. (2014) [95] | Greece (Heraklion, Crete) | Cross-sectional study | 2011: The study population comprised elementary (sixth grade, Minoa Pediados) and high school students. The total number of participants was 66 (30 girls (45.5%) and 36 boys (54.5%), with an average age of 13.6 years (standard deviation = 0.9). 1989: The study population comprised 150 adolescents, 85 girls (56.7%) and 65 boys (43.3%), from Agia Varvara high school; mean age = 13.1 years (standard deviation = 0.62). | To investigate all the important factors that contribute to the development of MetS as well as to explore the changes in these factors over time by comparing adolescent populations from rural areas of Heraklion, Crete, for the years 2011 and 1989. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | The percentage of obese adolescents in 2011 was 21.2% compared to only 1.3% in 1989. While in 1989 no girl was found to be obese; in 2011, 23.3% of the girls were obese. Prevalence of obesity, n (%) girls + boys: 2011 = 14 (21.2) and 1989 = 2 (1.3). girls: 2011 = 7 (23.3) and 1989 = 0 (0); boys: 2011 = 7 (19.4) and 1989 = 2 (3.1). |
Manios et al. (2013) [96] | “Greece (Attica, Aitoloakarnania, Thessaloniki and Iraklio) | Cross-sectional study | 2492 primary schoolchildren aged 9–13 years old. Boys (n = 1241) 9–11 years = 41.4% and 11–13 years = 58.6%, girls (n = 1251) 9–11 years = 41.9% and 11–13 years = 58.1%, and total (n = 2492): 9–11 years = 41.6 and 11–13 years = 58.4%. | To examine the association between being overweight and iron status in children and adolescents in Greece and to identify the main risk factors for ID. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity: total: 11.4%, boys = 13.3% (n = 165), and girls = 9.6% (n = 120) --> significantly different from boys; |
Tambalis et al. (2013) [97] | Greece | Cross-sectional study | 3195 schoolchildren aged 10 to 12 years attending fifth and sixth grades living in rural and urban areas. | To examine the hypothesis that Greek children living in rural areas are more overweight and obese than their urban counterparts because of lower levels of PA. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity rates were 1.4% higher in rural areas than in urban areas for both genders aged 10 to 12 years. Total obese (N) = 366. Rural boys (n = 292): mean age year (sd) = 11.0 (1.0) and obese = 12.5%; |
Kollias et al. (2013) [98] | Greece (Samos island, Karlovassi province) | Cross-sectional study | 448 (aged 10–18 years) apparently healthy adolescents recruited from five Karlovassi schools. Mean age: 14 ± 2.2 years. Sex: 211 boys and 237 girls. | To investigate the association between cIMT and several cardiovascular risk factors in an apparently healthy population of adolescents. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity prevalence = 12.7%. |
Chalkias et al. (2013) [99] | Greece (Athens) | Cross-sectional study | A total of 18,296 students who were 8–9 years of age (51.05% males) in the primary schools of the Attica prefecture were selected. | This analysis addresses the following questions: (a) are living conditions and SES (socio-Economic status) heterogeneity in the study area related to ChO (childhood obesity) variations; and (b) if (a) is true, is this relationship stable across the study area. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | The ChO rate in the metropolitan area of Athens was 9.9% for students who were 8 and 9 years of age. The minimum and the maximum values found in different areas were 2.6 and 23.8%, respectively. |
Vik et al. (2013) [100] | Multicenter | Cross-sectional study | Greek population: 1100 schoolchildren in their final years of primary education (aged 10 to 12 years). | To assess (i) the prevalence of eating breakfast, lunch, and dinner, as well as the prevalence of never watching TV during these meals among children aged 10–12 years in Europe; (ii) the relationship between these behaviors and weight status; and (iii) potential country differences and inequalities regarding gender, parental levels of education, and ethnicity in these behaviors among children aged 10–12 years in Europe. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity prevalence: 10%. |
Antonogeorgos et al. (2011) [101] | Greece (Athens) | Cross-sectional study | 700 students (323 male and 377 female) aged 10–12 years (4–6th grade), who were selected from 18 schools located in the Athens greater area. | To examine the association between extracurricular sport participation with the obesity status of children aged 10–12 years old living in an urban environment in Greece. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | A total of 9.4% (n = 24) of the boys and 8.6% (n = 25) of the girls were classified as obese. |
Kontogianni et al. (2010) [102] | Greece (except the Ionian and Aegean islands) | Cross-sectional study | Subjects aged 3–18 years: children group = 3 to 12 years and adolescent group = 13 to 18 years. Children = 751, mean age: 7.6 ± 2.9 years, and 51% boys and 49% girls. Adolescents = 554, mean age: 15.5 ± 1.6 years, and 44% boys and 56% girls. | To identify the clustering of several eating and physical activity habits and behaviors and to explore their potential associations with body mass index (BMI) in a representative, cross-sectional sample of children and adolescents in Greece. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obese children: n (%) = 97 (12.9); mean age (years ± sd) = 6.6 ± 2.5. Obese adolescents: n (%) = 16 (2.8); mean age (years ± sd) = 16.0 ± 1.3. |
Tsiouifis et al. (2009) [103] | Greece (Athens) | Cross-sectional study | A total of 498 students from the Leontio Lyceum (7–12th grade) were recruited: 304 boys (61.2%) and 194 girls (38.8%). The mean age was 14.1 ± 1.6 years (range: 12–17.9 years) | This report illustrates the 3L study’s aims, design, and methods, as well as the status of various baseline characteristics of the participants. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity (%) = 5.8. |
Papandreou et al. (2007) [104] | Greece (Thessaloniki) | Cross-sectional study | A total of 524 healthy schoolchildren (275 boys and 249 girls) aged 6–15 year were included in the study. | The purpose of this study was to estimate the prevalence of OB and to investigate any associations between OB, blood pressure (BP), waist circumference (WC), serum homocysteine levels, and dietary intakes in a healthy pediatric population aged 6–15 years in Northern Greece. | BMI was calculated and International Obesity Task Force (IOTF) cut-offs were used to classify children weight’s status. | Obese n (%): males = 23 (8.4%); females = 18 (7.3%); total = 41 (7.8%). |
Tokmakidis et al. (2007) [105] | Greece (Athens and North Attica) | Cross-sectional study | 378 healthy elementary school pupils and 298 high school students. Elementary school pupils: sex: 52.1% girls (n = 197) and 47.9% boys (n = 181); nationality: Greek: 87.6%, Albanian: 10.3%, other: 1.6, and missing: 0.5%; and mean age: 11.4 ± 4 years. High school students: sex: 51.0% girls (n = 152) and 49.0% boys (n = 146); nationality: Greek: 94.3%, Albanian 3.0%, other 2.7%, and missing 0%; and mean age: 12.5 ± 3 years. | To examine the validity of self-reported body measures as a diagnostic method for the evaluation of overweight and obesity in Greek children and adolescents. | BMI was calculated, and International Obesity Task Force (IOTF) cut-offs were used to classify the children’s weight status. | Obesity: 9.5% (primary education = 9.5%; secondary education = 9.4%). |
Papoutsakis et al. (2007) [106] | Greece (Attica) | Cross-sectional study | 920 students in fifth and sixth grades; age range: 9.8–13.6 years and mean age: 11.2 ± 0.6; sex: 491 females (mean age = 11.2 ± 0.6) and 429 males (mean age = 11.2 ± 0.7). | 1. A description of dietary and other lifestyle factors, as well as single polynucleotide polymorphisms associated with obesity. 2. The association of SNPs with overt obesity markers in children (e.g., weight status), with candidate sub-phenotypes of obesity (e.g., inflammation markers), and markers of susceptibility (e.g., family history). 3. The detection of significant interactions via association studies between genetic and environmental factors in childhood obesity. | BMI was calculated and International Obesity Task Force (IOTF) cut-offs were used to classify children weight’s status. | Obesity prevalence: total = 8.8%; females = 7.8%; males = 10.1%. |
Stabouli et al. (2005) [107] | Greece | Cross-sectional study | 93 consecutive adolescents (22 obese and 71 non-obese) aged 11–18 years, who were referred to the hypertension center of the study for the evaluation of borderline hypertension from their primary healthcare providers. | To investigate possible differences in 24 h ambulatory blood pressure between obese and non-obese adolescents, to measure internal carotid artery IMT, and to investigate early obesity-associated vascular structural changes. | BMI was calculated, and 2000 Centers for Disease Control and Prevention growth charts cut-offs were used to classify the children’s weight status. | A total of 24.0% of the subjects were obese. Obese group: mean age = 15.00 ± 2.01; males/females (%) = 16.9/6.8. |
Author (Year) [Ref] | Country | Study Design | Population | Purpose | Key Results |
---|---|---|---|---|---|
Kastorini et al. (2019) [108] | Greece | Descriptive study | Not applicable | To describe the national dietary guidelines for children and adolescents as an essential policy tool. | The NDGGr include food-based recommendations, food education, and health promotion messages regarding (i) fruits; (ii) vegetables; (iii) milk and dairy products; (iv) cereals; (v) red and white meat; (vi) fish and seafood; (vii) eggs; (viii) legumes; (ix) added lipids, olives, and nuts; (x) added sugars and salt; (xi) water and beverages; and (xii) physical activity. A nutrition wheel, consisting of the ten most pivotal key messages, was developed to enhance the adoption of optimal dietary patterns and a healthy lifestyle. The NDGGr additionally provide recommendations regarding the optimal frequency and serving sizes of main meals, based on the traditional Greek diet. |
Suggs et al. (2011) [109] | Multicenter | Descriptive study | Not applicable | To describe public support for policy measures to counteract childhood obesity and improve children’s diets in EU countries. | The EU public favors policies consisting of communication with parents, providing healthy nutrition instruction to children, and more physical activity in schools. The Greek public’s preferences for policy strategies include 1. improving children’s diets (1.a) information for parents: 50.3% (highest quartile), (1.b) education for children: 19.9% (third quartile), and (1.c) restrict ads: 12.8% (second quartile)); 2. reducing children’s obesity (2.a) physical activity in schools: 39.1% (third quartile), (2.b) diet and exercise education: 16.2% (second quartile), and (2.c) restrict ads: 10.3% (third quartile)); and 3. building more facilities (other policies options): >20% as their first policy choice. |
Oldridge-Turner et al. (2023) [110] | Multicenter | Descriptive study | Not applicable | To describe the methods used to collect detailed, up-to-date information of currently implemented policy actions promoting physical activity with the purpose of populating the MOVING database to track the status of policy actions. | Physical activity policies in Greece: M: Make opportunities and initiatives that promote physical activity in schools and the community for sports and recreation = 4; O: Offer physical activity opportunities in the workplace and training in physical activity promotion across multiple professions = 3; V: Visualize and enact structures and surroundings that promote physical activity = 2; I: Implement transport infrastructure and opportunities that support active societies = 0; N: Normalize and increase physical activity through public communication that motivates and builds behavior change skills = 8; G: Give physical activity training, assessment, and counseling in healthcare settings = 2. Total = 19. (All of them are awaiting verification.) |
Kovacs et al. (2020) [111] | Multicenter | Descriptive study | Not applicable | To provide an overview of the approaches to the regulation and improvement of kindergarten and the school food environment in 16 European Union Member States. | One of the seven policies identified is from Greece: “the Greek School Canteen Policy”. It fulfills the nine core good practice criteria. Characteristics of the Greek educational system: centralized; compulsory from 5 to 15 yrs (10 yrs); pre-school ages: nursery school (2–5 yrs) and kindergarten (5–6 yrs); school ages: primary (6–12 yrs), lower secondary (12–15 yrs), and upper secondary (15–18 yrs); and type of institution: public (93%) and private (7%). Legislative environment around school meal provision of school lunch: only in some private schools. For these schools, the Mediterranean diet pyramid-based dietary guidelines for Greece (Ministry of Health, 1999) is in use. Policies to restrict the availability of unhealthy foods and drinks in schools in vending machines and/or shops: mandatory policy. The Greek school canteen policy was established in 2004, had undergone some improvements (in 2006 and 2013), and took its final format in 2013 with effect until today (81025/2013—FEK 2135/Β/29-8-2013, with up-to-date annual modifications). The Ministry of Health established a law including a detailed list determining which products are permitted to be sold in Greek school canteens. Across all areas of school premises, both public and private, controls are carried out on a regular basis by the Regional Public Health Services of the Hellenic Food Authority (EFET). Legislations to restrict the marketing of unhealthy foods in educational premises: mandatory policy. Marketing or advertising any products that are not listed in the School Canteen Policy ((81025/2013—FEK 2135/Β/29-8-2013) is prohibited. |
UNICEF and Greek Ministry of Health (2023) [112] | Greece | Not applicable | Not applicable | To mitigate the risk factors and the socio-economic disparities responsible for obesity in childhood and adolescence while also fighting the consequences of being overweight and obese that often lead to chronic diseases during adult life. | The program includes cross-sectoral interventions across the country; it is related to primary, secondary, and tertiary prevention and is targeted to children aged 0–17 years old, as well as their families. More specifically, the program aims to:
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Sibilio, R.; Triantafyllou, C.; Cardona, T.; Breda, J.; Icardi, G. Mapping the Published Evidence on Childhood Obesity Prevalence and Related Policies in Greece: A Scoping Review. Nutrients 2025, 17, 2301. https://doi.org/10.3390/nu17142301
Sibilio R, Triantafyllou C, Cardona T, Breda J, Icardi G. Mapping the Published Evidence on Childhood Obesity Prevalence and Related Policies in Greece: A Scoping Review. Nutrients. 2025; 17(14):2301. https://doi.org/10.3390/nu17142301
Chicago/Turabian StyleSibilio, Raffaella, Christos Triantafyllou, Tania Cardona, Joao Breda, and Giancarlo Icardi. 2025. "Mapping the Published Evidence on Childhood Obesity Prevalence and Related Policies in Greece: A Scoping Review" Nutrients 17, no. 14: 2301. https://doi.org/10.3390/nu17142301
APA StyleSibilio, R., Triantafyllou, C., Cardona, T., Breda, J., & Icardi, G. (2025). Mapping the Published Evidence on Childhood Obesity Prevalence and Related Policies in Greece: A Scoping Review. Nutrients, 17(14), 2301. https://doi.org/10.3390/nu17142301