Traditional Societal Practices Can Avert Poor Dietary Habits and Reduce Obesity Risk in Preschool Children of Mothers with Low Socioeconomic Status and Unemployment
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design, Participating Population and Characteristics
2.2. Methods and Data Collection
2.3. Statistical Analysis
2.4. Ethics Statement
3. Results
3.1. Demographic Characteristics
3.2. Maternal Employment Status
3.3. Maternal Education Level
3.4. Maternal Income
4. Discussion
4.1. Maternal Employment Status and Time as Relating to Diet, Obesity and BMI of Children
4.2. Maternal Educational/SES Level and Child Nutrition
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Scaglioni, S.; De Cosmi, V.; Ciappolino, V.; Parazzini, F.; Brambilla, P.; Agostoni, C. Factors Influencing Children’s Eating Behaviours. Nutrients 2018, 10, 706. [Google Scholar] [CrossRef]
- Corkins, M.R.; Daniels, S.R.; de Ferranti, S.D.; Golden, N.H.; Kim, J.H.; Magge, S.N.; Schwarzenberg, S.J. Nutrition in Children and Adolescents. Med. Clin. N. Am. 2016, 100, 1217–1235. [Google Scholar] [CrossRef]
- Chaffee, B.W.; Feldens, C.A.; Rodrigues, P.H.; Vítolo, M.R. Feeding practices in infancy associated with caries incidence in early childhood. Community Dent Oral Epidemiol. 2015, 43, 338–348. [Google Scholar] [CrossRef]
- Kersting, M.; Alexy, U.; Schürmann, S. Critical Dietary Habits in Early Childhood: Principles and Practice. World Rev. Nutr. Diet. 2016, 115, 24–35. [Google Scholar] [CrossRef] [PubMed]
- Romanos-Nanclares, A.; Zazpe, I.; Santiago, S.; Marín, L.; Rico-Campà, A.; Martín-Calvo, N. Influence of Parental Healthy-Eating Attitudes and Nutritional Knowledge on Nutritional Adequacy and Diet Quality among Preschoolers: The SENDO Project. Nutrients 2018, 10, 1875. [Google Scholar] [CrossRef]
- Kristo, A.S.; Gültekin, B.; Öztağ, M.; Sikalidis, A.K. The Effect of Eating Habits’ Quality on Scholastic Performance in Turkish Adolescents. Behav. Sci. (Basel) 2020, 10, 31. [Google Scholar] [CrossRef] [PubMed]
- Black, M.M. Impact of Nutrition on Growth, Brain, and Cognition. Recent Res. Nutr. Growth 2018, 89, 185–195. [Google Scholar] [CrossRef]
- Muhoozi, G.K.M.; Atukunda, P.; Diep, L.M.; Mwadime, R.; Kaaya, A.N.; Skaare, A.B.; Willumsen, T.; Westerberg, A.C.; Iversen, P.O. Nutrition, hygiene, and stimulation education to improve growth, cognitive, language, and motor development among infants in Uganda: A cluster-randomized trial. Matern. Child Nutr. 2018, 14, e12527. [Google Scholar] [CrossRef]
- Yee, A.Z.; Lwin, M.O.; Ho, S.S. The influence of parental practices on child promotive and preventive food consumption behaviors: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 47. [Google Scholar] [CrossRef] [PubMed]
- Kristo, A.S.; Sikalidis, A.K. Nutritional status and cardiometabolic risk factors among Turkish adolescent populations. Am. J. Biomed. Sci. 2014, 6, 290–307. [Google Scholar] [CrossRef]
- Cuartas, J.; Jeong, J.; Rey-Guerra, C.; McCoy, D.C.; Yoshikawa, H. Maternal, paternal, and other caregivers’ stimulation in low- and- middle-income countries. PLoS ONE 2020, 15, e0236107. [Google Scholar] [CrossRef]
- Aubel, J. The role and influence of grandmothers on child nutrition: Culturally designated advisors and caregivers. Matern. Child Nutr. 2012, 8, 19–35. [Google Scholar] [CrossRef] [PubMed]
- Martorell, R.; Zongrone, A. Intergenerational influences on child growth and undernutrition. Paediatr. Perinat. Epidemiol. 2012, 26 (Suppl. 1), 302–314. [Google Scholar] [CrossRef] [PubMed]
- Frost, M.B.; Forste, R.; Haas, D.W. Maternal education and child nutritional status in Bolivia: Finding the links. Soc. Sci. Med. 2005, 60, 395–407. [Google Scholar] [CrossRef]
- Andriano, L.; Monden, C.W.S. The Causal effect of maternal education on child mortality: Evidence from a quasi-experiment in Malawi and Uganda. Demography 2019, 56, 1765–1790. [Google Scholar] [CrossRef]
- Ickes, S.B.; Hurst, T.E.; Flax, V.L. Maternal literacy, facility birth, and education are positively associated with better infant and young child feeding practices and nutritional status among Ugandan children. J. Nutr. 2015, 145, 2578–2586. [Google Scholar] [CrossRef] [PubMed]
- Imdad, A.; Yakoob, M.Y.; Bhutta, Z.A. Impact of maternal education about complementary feeding and provision of complementary foods on child growth in developing countries. BMC Public Health. 2011, 11 (Suppl. 3), S25. [Google Scholar] [CrossRef] [PubMed]
- Eshete, H.; Abebe, Y.; Loha, E.; Gebru, T.; Tesheme, T. Nutritional Status and Effect of Maternal Employment among Children Aged 6-59 Months in Wolayta Sodo Town, Southern Ethiopia: A Cross-sectional Study. Ethiop. J. Health Sci. 2017, 27, 155–162. [Google Scholar] [CrossRef]
- Bhargava, A.; Fox-Kean, M. The effects of maternal education versus cognitive test scores on child nutrition in Kenya. Econ. Hum. Biol. 2003, 1, 309–319. [Google Scholar] [CrossRef]
- Harding, K.L.; Aguayo, V.M.; Masters, W.A.; Webb, P. Education and micronutrient deficiencies: An ecological study exploring interactions between women’s schooling and children’s micronutrient status. BMC Public Health. 2018, 18, 470. [Google Scholar] [CrossRef] [PubMed]
- Rajna, P.N.; Mishra, A.K.; Krishnamoorthy, S. Impact of maternal education and health services on child mortality in Uttar Pradesh, India. Asia Pac. Popul. J. 1998, 13, 27–38. [Google Scholar] [CrossRef] [PubMed]
- Moestue, H.; Huttly, S. Adult education and child nutrition: The role of family and community. J. Epidemiol. Community Health 2008, 62, 153–159. [Google Scholar] [CrossRef]
- Carlson, G.J.; Kordas, K.; Murray-Kolb, L.E. Associations between women’s autonomy and child nutritional status: A review of the literature. Matern. Child Nutr. 2015, 11, 452–482. [Google Scholar] [CrossRef]
- Nankinga, O.; Kwagala, B.; Walakira, E.J. Maternal employment and child nutritional status in Uganda. PLoS ONE 2019, 14, e0226720. [Google Scholar] [CrossRef] [PubMed]
- Pratley, P. Associations between quantitative measures of women’s empowerment and access to care and health status for mothers and their children: A systematic review of evidence from the developing world. Soc. Sci. Med. 2016, 169, 119–131. [Google Scholar] [CrossRef] [PubMed]
- Mondal, R.K.; Majumder, M.K.; Rayhan, S.J. The Impact of Maternal Education on Child Health; Evidence from Bangladesh. Asian J. Soc. Sci. Humanit. 2014, 3, 19–27. [Google Scholar]
- Karlsson, O.; De Neve, J.W.; Subramanian, S.V. Weakening association of parental education: Analysis of child health outcomes in 43 low- and middle-income countries. Int. J. Epidemiol. 2019, 48, 83–97. [Google Scholar] [CrossRef] [PubMed]
- Emina, J.B.; Kandala, N.B.; Inungu, J.; Ye, Y. The Effect of Maternal Education on Child Nutritional Status in the Democratic Republic of Congo; African Population and Health Research Center: Nairobi, Kenya, 2009. [Google Scholar]
- Halder, S.; Kejriwal, S. Nutritional Awareness of Mothers in Relation to Nutritional Status of the Preschool Children. Early Child Dev. Care 2016, 186, 1366–1377. [Google Scholar] [CrossRef]
- Chang, A.Y.; Cowling, K.; Micah, A.E.; Chapin, A.; Chen, C.S.; Ikilezi, G.; Sadat, N.; Tsakalos, G.; Wu, J.; Younker, T.; et al. Past, present, and future of global health financing: A review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995–2050. Lancet 2019, 393, 2233–2260. [Google Scholar] [CrossRef]
- Santas, F.; Celik, Y.; Eryurt, M.A. Do health care reforms in Turkey have a significant effect in equal access to maternal and child health services in Turkey: An evidence from 20 years. Int. J. Health Plan. Manag. 2018, 33, e344–e356. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization Publications on Turkey. Available online: https://www.euro.who.int/en/countries/turkey/publications (accessed on 29 November 2020).
- Sikalidis, A.K.; Öztağ, M. Optimized snacking is positively associated with socioeconomic status and better Type 2 Diabetes Mellitus management in Turkish patients. Gazz. Med. Ital. Arch. Sci. Med. 2020, 179, 459–467. [Google Scholar] [CrossRef]
- Huybrechts, I.; De Bacquer, D.; Matthys, C.; De Backer, G.; De Henauw, S. Validity and reproducibility of a semi-quantitative food-frequency questionnaire for estimating calcium intake in Belgian preschool children. Br. J. Nutr. 2006, 95, 802–816. [Google Scholar] [CrossRef]
- Turkish Ministry of Health. Available online: https://www.saglik.gov.tr/?_Dil=2 (accessed on 24 November 2020).
- Neyzi, O.; Günöz, H.; Furman, A.; Bundak, R.; Gökçay, G.; Derendeliler, F.; Baş, F. Body weight, height, head circumference and body mass index reference values in Turkish children. Child Health and Diseases 2008, 51, 1–14. (In Turkish) [Google Scholar] [CrossRef]
- Bilgisayar Destekli Diyet ve Gida Programlari. Beslenme Bilgi Sistemi. BeBis. Available online: www.bebis.com.tr (accessed on 12 November 2020).
- Turkish Statistics Institute. Available online: https://www.tuik.gov.tr/ (accessed on 30 November 2020).
- Koral, S. Cultural, religious and socio-economic factors affecting sex education in Turkey. Plan. Parent. Eur. 1991, 20, 15–16. [Google Scholar]
- Arat, Y. Religion, politics and gender equality in Turkey: Implications of a democratic paradox? Third World Q. 2010, 31, 869–884. [Google Scholar] [CrossRef] [PubMed]
- Shaheed, F. Contested identities: Gendered politics, gendered religion in Pakistan. Third World Q. 2010, 31, 851–867. [Google Scholar] [CrossRef]
- Cawley, J.; Liu, F. Maternal employment and childhood obesity: A search for mechanisms in time use data. Econ. Hum. Biol. 2012, 10, 352–364. [Google Scholar] [CrossRef]
- T.C. Başbakanlık Aile ve Sosyal Araştırmalar Genel Müdürlüğü. Türkiye’de Aile Değerleri; Manas Medya Planlama Reklam Hizmetleri San. Tic. Ltd. Sti.: Ankara, Turkey, 2010. [Google Scholar]
- Bianchi, S.M. Maternal employment and time with children: Dramatic change or surprising continuity? Demography 2000, 37, 401–414. [Google Scholar] [CrossRef]
- Economic Research Service. Maternal Employment and Children’s Nutrition, Volume II, Other Nutrition-Related Outcomes; Abt Associates Inc.: Cambridge, MA, USA, 2004. [Google Scholar]
- Unsar, S.; Dindar, I.; Kurt, S. Activities of daily living, quality of life, social support and depression levels of elderly individuals in Turkish society. J. Pak. Med. Assoc. 2015, 65, 642–646. [Google Scholar] [PubMed]
- Oddo, V.M.; Mueller, N.T.; Pollack, K.M.; Surkan, P.J.; Bleich, S.N.; Jones-Smith, J.C. Maternal employment and childhood overweight in low- and middle-income countries. Public Health Nutr. 2017, 20, 2523–2536. [Google Scholar] [CrossRef] [PubMed]
- Anderson, P.M.; Butcher, K.F.; Levine, P.B. Maternal employment and overweight children. J. Health Econ. 2003, 22, 477–504. [Google Scholar] [CrossRef]
- Hawkins, S.S.; Cole, T.J.; Law, C. Maternal employment and early childhood overweight: Findings from the UK Millennium Cohort Study. Int. J. Obes. (London) 2008, 32, 30–38. [Google Scholar] [CrossRef]
- Morrissey, T.W.; Dunifon, R.E.; Kalil, A. Maternal employment, work schedules, and children’s body mass index. Child Dev. 2011, 82, 66–81. [Google Scholar] [CrossRef] [PubMed]
- Ziol-Guest, K.M.; Dunifon, R.E.; Kalil, A. Parental employment and children’s body weight: Mothers, others, and mechanisms. Soc. Sci. Med. 2013, 95, 52–59. [Google Scholar] [CrossRef]
- Taylor, A.W.; Winefield, H.; Kettler, L.; Roberts, R.; Gill, T.K. A population study of 5 to 15 year olds: Full time maternal employment not associated with high BMI. The importance of screen-based activity, reading for pleasure and sleep duration in children’s BMI. Matern. Child Health J. 2012, 16, 587–599. [Google Scholar] [CrossRef] [PubMed]
- Speirs, K.E.; Liechty, J.M.; Wu, C.F.; Strong Kids Research Team. Sleep, but not other daily routines, mediates the association between maternal employment and BMI for preschool children. Sleep Med. 2014, 15, 1590–1593. [Google Scholar] [CrossRef] [PubMed]
- Ystrom, E.; Barker, M.; Vollrath, M.E. Impact of mothers’ negative affectivity, parental locus of control and child-feeding practices on dietary patterns of 3-year-old children: The MoBa Cohort Study. Matern. Child Nutr. 2012, 8, 103–114. [Google Scholar] [CrossRef]
- Ystrom, E.; Niegel, S.; Vollrath, M.E. The impact of maternal negative affectivity on dietary patterns of 18-month-old children in the Norwegian Mother and Child Cohort Study. Matern. Child Nutr. 2009, 5, 234–242. [Google Scholar] [CrossRef]
- Akçil Ok, M.; Ercan, A.; Kaya, F.S. A content analysis of food advertising on Turkish television. Health Promot. Int. 2016, 31, 801–808. [Google Scholar] [CrossRef] [PubMed]
- Karaçam, Z.; Çoban, A.; Akbaş, B.; Karabulut, E. Status of postpartum depression in Turkey: A meta-analysis. Health Care Women Int. 2018, 39, 821–841. [Google Scholar] [CrossRef] [PubMed]
- Burchi, F. Child nutrition in Mozambique in 2003: The role of mother’s schooling and nutrition knowledge. Econ. Hum. Biol. 2010, 8, 331–345. [Google Scholar] [CrossRef] [PubMed]
- Yabancı, N.; Kısaç, İ.; Karakuş, S.Ş. The Effects of Mother’s Nutritional Knowledge on Attitudes and Behaviors of Children about Nutrition. Procedia Soc. Behav. Sci. 2014, 116, 4477–4481. [Google Scholar] [CrossRef]
- Alderman, H.; Behrman, J.R.; Glewwe, P.; Fernald, L.; Walker, S. Evidence of Impact of Interventions on Growth and Development during Early and Middle Childhood. In Child and Adolescent Health and Development, 3rd ed.; Bundy, D.A.P., Silva, N.D., Horton, S., Jamison, D.T., Patton, G.C., Eds.; The International Bank for Reconstruction and Development/The World Bank: Washington, DC, USA, 2017; Chapter 7. [Google Scholar] [CrossRef]
- Kosti, R.I.; Kanellopoulou, A.; Fragkedaki, E.; Notara, V.; Giannakopoulou, S.P.; Antonogeorgos, G.; Rojas-Gil, A.P.; Kornilaki, E.N.; Lagiou, A.; Panagiotakos, D.B. The Influence of Adherence to the Mediterranean Diet among Children and Their Parents in Relation to Childhood Overweight/Obesity: A Cross-Sectional Study in Greece. Child Obes. 2020, 16, 571–578. [Google Scholar] [CrossRef] [PubMed]
- Kanellopoulou, A.; Giannakopoulou, S.P.; Notara, V.; Antonogeorgos, G.; Rojas-Gil, A.P.; Kornilaki, E.N.; Konstantinou, E.; Lagiou, A.; Panagiotakos, D.B. The association between adherence to the Mediterranean diet and childhood obesity; the role of family structure: Results from an epidemiological study in 1728 Greek students. Nutr. Health 2020, 0260106020952600. [Google Scholar] [CrossRef] [PubMed]
- Vanhelst, J.; Béghin, L.; Drumez, E.; Duhamel, A.; De Henauw, S.; Ruiz, J.R.; Kafatos, A.; Manios, Y.; Widhalm, K.; Mauro, B.; et al. Adolescents’ diet quality in relation to their relatives’ and peers’ diet engagement and encouragement: The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study. Public Health Nutr. 2018, 21, 3192–3201. [Google Scholar] [CrossRef]
- Alper, Z.; Ercan, İ.; Uncu, Y. A Meta-Analysis and an Evaluation of Trends in Obesity Prevalence among Children and Adolescents in Turkey: 1990 through 2015. J. Clin. Res. Pediatr. Endocrinol. 2018, 10, 59–67. [Google Scholar] [CrossRef] [PubMed]
- Ozumut, S.H.; Erguven, M.; Besli, E. Obesogenic Environment in Childhood: Implications of High Socioeconomic Level in a Developing Country. Medeni. Med. J. 2020, 35, 236–241. [Google Scholar] [CrossRef]
- Turkish Ministry of National Education Publications Department. Nutrition Education in Member States of the European Union and Recommendations for Turkey. J. Educ. Soc. Sci. 2005, 1, 33.
- Turkish Ministry of Health, Nutrition Section. Available online: https://hsgm.saglik.gov.tr/tr/beslenme/temel-besin-gruplari.html (accessed on 12 March 2021).
Highest Education Level Attained | N (%) |
Primary-school | 53 (48.7) |
Middle-school | 21 (19.3) |
High-school | 27 (24.7) |
University (BSc) | 7 (6.4) |
University (post-graduate) | 1 (0.9) |
Income | N (%) |
High (>3500 TL/month net; approx. $1220) | 11 (10.1) |
Medium (1300–3500 TL/month net; approx. $450—$1220) | 63 (57.8) |
Low (<1300 TL/month net; approx. $450) | 35 (32.1) |
TL: Turkish Lira/$: US dollars |
Employment Status | N (%) | Mean ± SEM | |
Energy (kcal/day) | Employed | 28 (25.7) | 1302.6 ± 108.1 |
Non-employed | 81 (74.3) | 1372.4 ± 68.6 | |
CHO (g/day) | Employed | 28 (25.7) | 151.1 ± 14.4 |
Non-employed | 81 (74.3) | 156.9 ± 7.2 | |
Protein (g/day) | Employed | 28 (25.7) | 43.1 ± 4.6 |
Non-employed | 81 (74.3) | 45.6 ± 2.2 | |
Lipid (g/day) | Employed | 28 (25.3) | 57.5 ± 6.6 |
Non-employed | 81 (74.3) | 61.4 ± 4.4 | |
Education Level | N (%) | Mean ± SEM | |
Energy (kcal/day) | Upper | 45 (41.3) | 1327.7 ± 95.9 |
Low | 64 (58.7) | 1377.2 ± 75.7 | |
CHO (g/day) | Upper | 45 (41.3) | 151.5 ± 12.1 |
Low | 64 (58.7) | 158.2 ± 7.5 | |
Protein (g/day) | Upper | 45 (41.3) | 44.6 ± 3.4 |
Low | 64 (58.7) | 45.6 ± 2.4 | |
Lipid (g/day) | Upper | 45 (41.3) | 59.5 ± 5.3 |
Low | 64 (58.7) | 61.3 ± 5.2 | |
Income Level | N (%) | Mean ± SEM | |
Energy (kcal/day) | Low | 35 (32.1) | 1412.0 ± 162.7 |
Middle | 74 (67.9) | 1342.0 ± 57.9 | |
CHO (g/day) | Low | 35 (32.1) | 156.5 ± 13.8 |
Middle | 74 (67.9) | 155.6 ± 7.3 | |
Protein (g/day) | Low | 35 (32.1) | 49.1 ± 4.8 |
Middle | 74 (67.9) | 44.2 ± 2.1 | |
Lipid (g/day) | Low | 35 (32.1) | 64.3 ± 11.5 |
Middle | 74 (67.9) | 59.4 ± 3.3 |
Employment Status | N (%) | Mean ± SEM | |
Ca (mg/day) | Employed | 28 (25.7) | 614.4 ± 64.8 |
Non-employed | 81 (74.3) | 724.5 ± 40.3 | |
Fe (mg/day) | Employed | 28 (25.7) | 5.75 ± 0.6 |
Non-employed | 81 (74.3) | 6.9 ± 0.4 | |
Vit A/Carotenoids (IU/day) | Employed | 28 (25.7) | 491.2 ± 67.9 |
Non-employed | 81 (74.3) | 739.3 ± 90.9 * | |
Vit D (IU/day) | Employed | 28 (25.7) | 1.2 ± 0.3 |
Non-employed | 81 (74.3) | 3.1 ± 0.9 | |
Vit E (mg/day) | Employed | 28 (25.7) | 11.1 ± 1.4 |
Non-employed | 81 (74.3) | 13.7 ± 1.5 | |
Vit C (mg/day) | Employed | 28 (25.7) | 66.6 ± 8.6 |
Non-employed | 81 (74.3) | 90.3± 7.8 * | |
Fiber (g/day) | Employed | 28 (25.7) | 11.1 ± 1.1 |
Non-employed | 81 (74.3) | 15.1 ± 1.0 | |
Education Level | N (%) | Mean ± SEM | |
Ca (mg/day) | Upper | 45 (41.3) | 660.2 ± 51.7 |
Low | 64 (58.7) | 728.7 ± 46.4 | |
Fe (mg/day) | Upper | 45 (41.3) | 6.35 ± 0.51 |
Low | 64 (58.7) | 6.94 ± 0.44 | |
Vit A/Carotenoids (IU/day) | Upper | 45 (41.3) | 536.54 ± 64.8 |
Low | 64 (58.7) | 780.4± 110.9 * | |
Vit D (IU/day) | Upper | 45 (41.3) | 3.8 ± 1.7 |
Low | 64 (58.7) | 2.1 ± 0.5 | |
Vit E (mg/day) | Upper | 45 (41.3) | 11.9 ± 1.3 |
Low | 64 (58.7) | 13.9±1.9 | |
Vit C (mg/day) | Upper | 45 (41.3) | 90.1 ± 8.6 |
Low | 64 (58.7) | 129.9± 55.4 * | |
Fiber (g/day) | Upper | 45 (41.3) | 13.1 ± 1.3 |
Low | 64 (58.7) | 14.9 ± 1.1 | |
Income Level | N (%) | Mean ± SEM | |
Ca (mg/day) | Low | 35 (32.1) | 718.2 ± 68.4 |
Middle | 74 (67.9) | 700.8 ± 41.2 | |
Fe (mg/day) | Low | 35 (32.1) | 7.5 ± 1.0 |
Middle | 74 (67.9) | 6.5 ± 0.3 | |
Vit A/Carotenoids (IU/day) | Low | 35 (32.1) | 894.8± 56.6 * |
Middle | 74 (67.9) | 626.4 ± 52.7 | |
Vit D (IU/day) | Low | 35 (32.1) | 4.4 ± 1.1 |
Middle | 74 (67.9) | 2.2 ± 0.5 | |
Vit E (mg/day) | Low | 35 (32.1) | 16.1 ± 0.4 |
Middle | 74 (67.9) | 12.3 ± 0.9 | |
Vit C (mg/day) | Low | 35 (32.1) | 106.8 ± 16.5 |
Middle | 74 (67.9) | 96.6± 15.1 * | |
Fiber (g/day) | Low | 35 (32.1) | 16.6 ± 0.5 |
Middle | 74 (67.9) | 13.4 ± 0.8 |
Employment Status | N (%) | Mean ± SEM | |
Thiamin (B1) (mg/day) | Employed | 28 (25.7) | 0.55 ± 0.04 |
Not employed | 81 (74.3) | 0.60 ± 0.1 | |
Riboflavin (B2) (mg/day) | Employed | 28 (25.7) | 0.95 ± 0.1 |
Not employed | 81 (74.3) | 1.10 ± 0.06 | |
Niacin (B3) (mg/day) | Employed | 28 (25.7) | 5.89 ± 1.14 |
Not employed | 81 (74.3) | 6.71 ± 0.62 | |
Pantothenic Acid (B5) (mg/day) | Employed | 28 (25.7) | 2.81 ± 0.29 |
Not employed | 81 (74.3) | 3.40 ± 0.19 | |
Pyridoxine (B6) (mg/day) | Employed | 28 (25.7) | 0.92 ± 0.15 |
Not employed | 81 (74.3) | 1.04 ± 0.09 | |
Biotin (B7) (μg/day) | Employed | 28 (25.7) | 23.10 ± 2.68 |
Not employed | 81 (74.3) | 29.35 ± 2.36 | |
Vit B12 (μg/day) | Employed | 28 (25.7) | 3.08 ± 0.51 |
Not employed | 81 (74.3) | 3.44 ± 0.28 | |
Folic Acid total (μg/day) | Employed | 28 (25.7) | 125.71 ± 13.10 |
Not employed | 81 (74.3) | 168.36± 10.20 * | |
Education Level | N (%) | Mean ± SEM | |
Thiamin (B1) (mg/day) | Upper | 45 (41.3) | 0.54 ± 0.05 |
Low | 64 (58.7) | 0.62 ± 0.04 | |
Riboflavin (B2) (mg/day) | Upper | 45 (41.3) | 0.98 ± 0.08 |
Low | 64 (58.7) | 1.10 ± 0.06 | |
Niacin (B3) (mg/day) | Upper | 45 (41.3) | 6.62 ± 0.85 |
Low | 64 (58.7) | 6.54 ± 0.71 | |
Pantothenic Acid (B5) (mg/day) | Upper | 45 (41.3) | 3.24 ± 0.26 |
Low | 64 (58.7) | 3.44 ± 0.21 | |
Pyridoxine (B6) (mg/day) | Upper | 45 (41.3) | 0.96 ± 0.13 |
Low | 64 (58.7) | 1.05 ± 0.08 | |
Biotin (B7) (μg/day) | Upper | 45 (41.3) | 25.96 ± 1.85 |
Low | 64 (58.7) | 29.97 ± 2.91 | |
Vit B12 (μg/day) | Upper | 45 (41.3) | 3.42 ± 0.51 |
Low | 64 (58.7) | 3.35 ± 0.26 | |
Folic Acid total (μg/day) | Upper | 45 (41.3) | 145.81 ± 12.34 |
Low | 64 (58.7) | 168.71± 11.88 * | |
Income Level | N (%) | Mean ± SEM | |
Thiamin (B1) (mg/day) | Low | 35 (32.1) | 0.7 ± 0.1 |
Middle | 74 (67.9) | 0.6 ± 0.03 | |
Riboflavin (B2) (mg/day) | Low | 35 (32.1) | 1.1 ± 0.09 |
Middle | 74 (67.9) | 1.1 ± 0.06 | |
Niacin (B3) (mg/day) | Low | 35 (32.1) | 8.1 ± 1.6 |
Middle | 74 (67.9) | 6.1 ± 0.5 | |
Pantothenic Acid (B5) (mg/day) | Low | 35 (32.1) | 3.7 ± 0.4 |
Middle | 74 (67.9) | 3.2 ± 0.2 | |
Pyridoxine (B6) (mg/day) | Low | 35 (32.1) | 1.1 ± 0.14 |
Middle | 74 (67.9) | 1.0 ± 0.1 | |
Biotin (B7) (μg/day) | Low | 35 (32.1) | 33.2 ± 6.3 |
Middle | 74 (67.9) | 26.5 ± 1.6 | |
Vit B12 (μg/day) | Low | 35 (32.1) | 3.8 ± 0.7 |
Middle | 74 (67.9) | 3.3 ± 0.2 | |
Folic Acid total (μg/day) | Low | 35 (32.1) | 182.9 ± 4.2 |
Middle | 74 (67.9) | 153.1± 8.3 * |
Working Status | N (%) | Mean ± SEM | |
BMI | Employed | 28 (25.7) | 16.03 ± 0.72 |
Not employed | 81 (74.3) | 16.32 ± 0.33 | |
Education Level | N (%) | Mean ± SEM | |
BMI | Upper | 45 (41.3) | 16.45 ± 0.42 |
Low | 64 (58.7) | 16.17 ± 0.40 | |
Income Level | N (%) | Mean ± SEM | |
BMI | Low | 35 (32.1) | 16.75 ± 0.75 |
Middle | 74 (67.9) | 16.11 ± 0.30 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 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 (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kristo, A.S.; Sikalidis, A.K.; Uzun, A. Traditional Societal Practices Can Avert Poor Dietary Habits and Reduce Obesity Risk in Preschool Children of Mothers with Low Socioeconomic Status and Unemployment. Behav. Sci. 2021, 11, 42. https://doi.org/10.3390/bs11040042
Kristo AS, Sikalidis AK, Uzun A. Traditional Societal Practices Can Avert Poor Dietary Habits and Reduce Obesity Risk in Preschool Children of Mothers with Low Socioeconomic Status and Unemployment. Behavioral Sciences. 2021; 11(4):42. https://doi.org/10.3390/bs11040042
Chicago/Turabian StyleKristo, Aleksandra S., Angelos K. Sikalidis, and Arzu Uzun. 2021. "Traditional Societal Practices Can Avert Poor Dietary Habits and Reduce Obesity Risk in Preschool Children of Mothers with Low Socioeconomic Status and Unemployment" Behavioral Sciences 11, no. 4: 42. https://doi.org/10.3390/bs11040042
APA StyleKristo, A. S., Sikalidis, A. K., & Uzun, A. (2021). Traditional Societal Practices Can Avert Poor Dietary Habits and Reduce Obesity Risk in Preschool Children of Mothers with Low Socioeconomic Status and Unemployment. Behavioral Sciences, 11(4), 42. https://doi.org/10.3390/bs11040042