Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Sullivan, P.W.; Ghushchyan, V.; Navaratnam, P.; Friedman, H.S.; Kavati, A.; Ortiz, B.; Lanier, B. The national burden of poorly controlled asthma, school absence and parental work loss among school-aged children in the United States. J. Asthma 2018, 55, 659–667. [Google Scholar] [CrossRef] [PubMed]
- Asher, M.I.; Rutter, C.E.; Bissell, K.; Chiang, C.Y.; El Sony, A.; Ellwood, E.; Ellwood, P.; García-Marcos, L.; Marks, G.B.; Morales, E.; et al. Worldwide trends in the burden of asthma symptoms in school-aged children: Global Asthma Network Phase I cross-sectional study. Lancet 2021, 398, 1569–1580. [Google Scholar] [CrossRef]
- Nutten, S. Atopic Dermatitis: Global Epidemiology and Risk Factors. Ann. Nutr. Metab. 2015, 66 (Suppl. S1), 8–16. [Google Scholar] [CrossRef]
- Berger, W.E. Allergic rhinitis in children: Diagnosis and management strategies. Paediatr. Drugs 2004, 6, 233–250. [Google Scholar] [CrossRef] [Green Version]
- Lochte, L.; Nielsen, K.G.; Petersen, P.E.; Platts-Mills, T.A. Childhood asthma and physical activity: A systematic review with meta-analysis and Graphic Appraisal Tool for Epidemiology assessment. BMC Pediatr. 2016, 16, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Strom, M.A.; Silverberg, J.I. Associations of Physical Activity and Sedentary Behavior with Atopic Disease in United States Children. J. Pediatr. 2016, 174, 247–253.e3. [Google Scholar] [CrossRef] [Green Version]
- De Batlle, J.; Garcia-Aymerich, J.; Barraza-Villarreal, A.; Anto, J.M.; Romieu, I. Mediterranean diet is associated with reduced asthma and rhinitis in Mexican children. Allergy 2008, 63, 1310–1316. [Google Scholar] [CrossRef]
- Chatzi, L.; Apostolaki, G.; Bibakis, I.; Skypala, I.; Bibaki-Liakou, V.; Tzanakis, N.; Kogevinas, M.; Cullinan, P. Protective effect of fruits, vegetables and the Mediterranean diet on asthma and allergies among children in Crete. Thorax 2007, 62, 677–683. [Google Scholar] [CrossRef] [Green Version]
- Garcia-Marcos, L.; Castro-Rodriguez, J.A.; Weinmayr, G.; Panagiotakos, D.B.; Priftis, K.N.; Nagel, G. Influence of Mediterranean diet on asthma in children: A systematic review and meta-analysis. Pediatr. Allergy Immunol. 2013, 24, 330–338. [Google Scholar] [CrossRef]
- Liu, X.; Wong, C.C.-Y.; Yu, I.T.S.; Zhang, Z.; Tan, L.; Lau, A.P.S.; Lee, A.; Yeoh, E.K.; Lao, X.Q. Dietary patterns and the risk of rhinitis in primary school children: A prospective cohort study. Sci. Rep. 2017, 7, 44610. [Google Scholar] [CrossRef] [Green Version]
- Thakur, N.; Oh, S.S.; Nguyen, E.A.; Martin, M.; Roth, L.A.; Galanter, J.; Gignoux, C.R.; Eng, C.; Davis, A.; Meade, K.; et al. Socioeconomic Status and Childhood Asthma in Urban Minority Youths. The GALA II and SAGE II Studies. Am. J. Respir. Crit. Care Med. 2013, 188, 1202–1209. [Google Scholar] [CrossRef] [PubMed]
- Hegewald, M.J.; Crapo, R.O. Socioeconomic status and lung function. Chest 2007, 132, 1608–1614. [Google Scholar] [CrossRef] [PubMed]
- Ungar, W.J.; Paterson, J.M.; Gomes, T.; Bikangaga, P.; Gold, M.; To, T.; Kozyrskyj, A.L. Relationship of asthma management, socioeconomic status, and medication insurance characteristics to exacerbation frequency in children with asthma. Ann. Allergy Asthma Immunol. 2011, 106, 17–23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Strachan, D.P. Hay fever, hygiene, and household size. BMJ 1989, 299, 1259–1260. [Google Scholar] [CrossRef] [Green Version]
- Gong, T.; Lundholm, C.; Rejno, G.; Mood, C.; Langstrom, N.; Almqvist, C. Parental socioeconomic status, childhood asthma and medication use—A population-based study. PLoS ONE 2014, 9, e106579. [Google Scholar] [CrossRef]
- Gehring, U.; Pattenden, S.; Slachtova, H.; Antova, T.; Braun-Fahrlander, C.; Fabianova, E.; Fletcher, T.; Galassi, C.; Hoek, G.; Kuzmin, S.V.; et al. Parental education and children’s respiratory and allergic symptoms in the Pollution and the Young (PATY) study. Eur. Respir. J. 2006, 27, 95–107. [Google Scholar] [CrossRef]
- Ellwood, P.; Asher, M.I.; Billo, N.E.; Bissell, K.; Chiang, C.-Y.; Ellwood, E.M.; El-Sony, A.; García-Marcos, L.; Mallol, J.; Marks, G.; et al. The Global Asthma Network rationale and methods for Phase I global surveillance: Prevalence, severity, management and risk factors. Eur. Respir. J. 2017, 49, 1601605. [Google Scholar] [CrossRef] [Green Version]
- Validation of Instruments. Available online: http://globalasthmanetwork.org/surveillance/manual/validation.php (accessed on 10 October 2021).
- Antonogeorgos, G.; Priftis, K.N.; Panagiotakos, D.B.; Ellwood, P.; García-Marcos, L.; Liakou, E.; Koutsokera, A.; Drakontaeidis, P.; Moriki, D.; Thanasia, M.; et al. Exploring the Relation between Atopic Diseases and Lifestyle Patterns among Adolescents Living in Greece: Evidence from the Greek Global Asthma Network (GAN) Cross-Sectional Study. Children 2021, 8, 932. [Google Scholar] [CrossRef]
- Simon, P.A.; Zeng, Z.; Wold, C.M.; Haddock, W.; Fielding, J.E. Prevalence of childhood asthma and associated morbidity in Los Angeles County: Impacts of race/ethnicity and income. J. Asthma 2003, 40, 535–543. [Google Scholar] [CrossRef]
- Litonjua, A.A.; Carey, V.J.; Weiss, S.T.; Gold, D.R. Race, socioeconomic factors, and area of residence are associated with asthma prevalence. Pediatr. Pulmonol. 1999, 28, 394–401. [Google Scholar] [CrossRef]
- Cao, S.; Wen, D.; Li, S.; Duan, X.; Zhang, Y.; Gong, J.; Guo, Q.; Xu, X.; Qin, N.; Meng, X.; et al. Changes in children’s asthma prevalence over two decades in Lanzhou: Effects of socioeconomic, parental and household factors. J. Thorac. Dis. 2020, 12, 6365–6378. [Google Scholar] [CrossRef] [PubMed]
- Osvald, E.C.; Gong, T.; Lundholm, C.; Larsson, H.; Bk, B.; Almqvist, C. Parental socioeconomic status and asthma in children: Using a population-based cohort and family design. Clin. Exp. Allergy 2021, 52, 94–103. [Google Scholar] [CrossRef] [PubMed]
- Kojima, R.; Shinohara, R.; Kushima, M.; Horiuchi, S.; Otawa, S.; Yokomichi, H.; Akiyama, Y.; Ooka, T.; Miyake, K.; Yamagata, Z.; et al. Association between Household Income and Allergy Development in Children: The Japan Environment and Children’s Study. Int. Arch. Allergy Immunol. 2022, 183, 201–209. [Google Scholar] [CrossRef] [PubMed]
- Norbäck, D.; Lu, C.; Wang, J.; Zhang, Y.; Li, B.; Zhao, Z.; Huang, C.; Zhang, X.; Qian, H.; Sun, Y.; et al. Asthma and rhinitis among Chinese children—Indoor and outdoor air pollution and indicators of socioeconomic status (SES). Environ. Int. 2018, 115, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Baard, C.B.; Franckling-Smith, Z.; Munro, J.; Workman, L.; Zar, H.J. Asthma in South African adolescents: A time trend and risk factor analysis over two decades. ERJ Open Res. 2021, 7, 576–2020. [Google Scholar] [CrossRef]
- Hamid, F.; Wahyuni, S.; van Leeuwen, A.; van Ree, R.; Yazdanbakhsh, M.; Sartono, E. Allergic disorders and socio-economic status: A study of schoolchildren in an urban area of Makassar, Indonesia. Clin. Exp. Allergy 2015, 45, 1226–1236. [Google Scholar] [CrossRef] [Green Version]
- Hancox, R.J.; Milne, B.J.; Taylor, D.R.; Greene, J.M.; Cowan, J.O.; Flannery, E.M.; Herbison, G.P.; McLachlan, C.R.; Poulton, R.; Sears, M.R. Relationship between socioeconomic status and asthma: A longitudinal cohort study. Thorax 2004, 59, 376–380. [Google Scholar] [CrossRef] [Green Version]
- Kuschnir, F.C.; da Cunha, A.J.A. Environmental and socio-demographic factors associated to asthma in adolescents in Rio de Janeiro, Brazil. Pediatr. Allergy Immunol. 2007, 18, 142–148. [Google Scholar] [CrossRef]
- Gangrade, N.; Figueroa, J.; Leak, T.M. Socioeconomic Disparities in Foods/Beverages and Nutrients Consumed by U.S. Adolescents When Snacking: National Health and Nutrition Examination Survey 2005–2018. Nutrients 2021, 13, 2530. [Google Scholar] [CrossRef]
- Araujo, J.; Teixeira, J.; Gaio, A.R.; Lopes, C.; Ramos, E. Dietary patterns among 13-y-old Portuguese adolescents. Nutrition 2015, 31, 148–154. [Google Scholar] [CrossRef] [Green Version]
- Michels, N.; Vynckier, L.; Moreno, L.A.; Beghin, L.; De La, O.A.; Forsner, M.; Gonzalez-Gross, M.; Huybrechts, I.; Iguacel, I.; Kafatos, A.; et al. Mediation of psychosocial determinants in the relation between socio-economic status and adolescents’ diet quality. Eur. J. Nutr. 2018, 57, 951–963. [Google Scholar] [CrossRef] [PubMed]
- Drenowatz, C.; Eisenmann, J.C.; Pfeiffer, K.A.; Welk, G.; Heelan, K.; Gentile, D.; Walsh, D. Influence of socio-economic status on habitual physical activity and sedentary behavior in 8- to 11-year old children. BMC Public Health 2010, 10, 214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tandon, P.S.; Zhou, C.; Sallis, J.F.; Cain, K.L.; Frank, L.D.; Saelens, B.E. Home environment relationships with children’s physical activity, sedentary time, and screen time by socioeconomic status. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 88. [Google Scholar] [CrossRef] [Green Version]
- Fairclough, S.J.; Boddy, L.M.; Hackett, A.F.; Stratton, G. Associations between children’s socioeconomic status, weight status, and sex, with screen-based sedentary behaviours and sport participation. Int. J. Pediatr. Obes. 2009, 4, 299–305. [Google Scholar] [CrossRef] [PubMed]
- Molina-Garcia, J.; Queralt, A.; Adams, M.A.; Conway, T.L.; Sallis, J.F. Neighborhood built environment and socio-economic status in relation to multiple health outcomes in adolescents. Prev. Med. 2017, 105, 88–94. [Google Scholar] [CrossRef] [PubMed]
- Del Giacco, S.R.; Carlsen, K.H.; Du Toit, G. Allergy and sports in children. Pediatr. Allergy Immunol. 2012, 23, 11–20. [Google Scholar] [CrossRef]
- Mendes, F.A.R.; Almeida, F.M.; Cukier, A.; Stelmach, R.; Jacob-Filho, W.; Martins, M.A.; Carvalho, C.R. Effects of Aerobic Training on Airway Inflammation in Asthmatic Patients. Med. Sci. Sports Exerc. 2011, 43, 197–203. [Google Scholar] [CrossRef] [Green Version]
- Chen, E.; Hanson, M.D.; Paterson, L.Q.; Griffin, M.J.; Walker, H.A.; Miller, G.E. Socioeconomic status and inflammatory processes in childhood asthma: The role of psychological stress. J. Allergy Clin. Immunol. 2006, 117, 1014–1020. [Google Scholar] [CrossRef]
- Carroll, J.E.; Cohen, S.; Marsland, A.L. Early childhood socioeconomic status is associated with circulating interleukin-6 among mid-life adults. Brain Behav. Immun. 2011, 25, 1468–1474. [Google Scholar] [CrossRef] [Green Version]
- Manyanga, T.; Tremblay, M.S.; Chaput, J.P.; Katzmarzyk, P.T.; Fogelholm, M.; Hu, G.; Kuriyan, R.; Kurpad, A.; Lambert, E.V.; Maher, C.; et al. Socioeconomic status and dietary patterns in children from around the world: Different associations by levels of country human development? BMC Public Health 2017, 17, 457. [Google Scholar] [CrossRef] [Green Version]
- Sdona, E.; Ekström, S.; Andersson, N.; Hallberg, J.; Rautiainen, S.; Håkansson, N.; Wolk, A.; Kull, I.; Melén, E.; Bergström, A. Fruit, vegetable and dietary antioxidant intake in school age, respiratory health up to young adulthood. Clin. Exp. Allergy 2021, 52, 104–114. [Google Scholar] [CrossRef] [PubMed]
- Sdona, E.; Hallberg, J.; Andersson, N.; Ekström, S.; Rautiainen, S.; Håkansson, N.; Wolk, A.; Kull, I.; Melén, E.; Bergström, A. Dietary antioxidant intake in school age and lung function development up to adolescence. Eur. Respir. J. 2020, 55, 1900990. [Google Scholar] [CrossRef] [PubMed]
- Rosenlund, H.; Magnusson, J.; Kull, I.; Håkansson, N.; Wolk, A.; Pershagen, G.; Wickman, M.; Bergström, A. Antioxidant intake and allergic disease in children. Clin. Exp. Allergy 2012, 42, 1491–1500. [Google Scholar] [CrossRef] [PubMed]
- Patel, S.; Murray, C.S.; Woodcock, A.; Simpson, A.; Custovic, A. Dietary antioxidant intake, allergic sensitization and allergic diseases in young children. Allergy 2009, 64, 1766–1772. [Google Scholar] [CrossRef] [PubMed]
Total sample (child–parent/guardian pairs, n) | 2560 |
Study sample (child–parent/guardian pairs, n) | 1934 |
Adolescent boys (n, (%)) | 921, 47.5 |
Adolescents’ age (mean, (SD *) years) | 12.7 (0.6) |
Adolescents’ fathers (n, (%)) | 492, 25.4 |
Paternal age (mean, (SD) years) | 49.1 (5.5) |
Maternal age (mean, (SD) years) | 45.4 (4.8) |
Adolescent’s Asthma Symptoms in the Past 12 Months (Current Asthma) | Adolescent’s Allergic Rhinitis Symptoms in the Past 12 Months (Current Rhinitis) | Adolescent’s Allergic Rash Symptoms in the Past 12 Months (Current eczema) | ||||
---|---|---|---|---|---|---|
Parental Education level: Primary/Secondary (n= 654) | ||||||
No | Yes | No | Yes | No | Yes | |
n | 597 | 57 | 470 | 184 | 601 | 53 |
Boys (n, %) | 266 (44.7) | 24 (42.1) | 203 (43.4) | 87 (47.3) | 271 (45.2) | 19 (35.8) |
Pet ownership (Yes, n, %) | 184 (31.0) | 21 (36.8) | 146 (31.3) | 59 (32.1) | 185 (30.9) | 20 (37.7) |
Having an older sibling (Yes, n, %) | 281 (47.3) | 25 (43.9) | 223 (47.8) | 83 (45.1) | 277 (46.3) | 29 (54.7) |
Parental atopic history (Yes, n, %) | 41 (6.9) | 14 (7.0) | 26 (5.5) | 19 (10.3) * | 40 (6.7) | 25 (9.4) |
Parental ever smoking (Yes, n, %) | 370 (62.1) | 38 (66.7) | 280 (59.7) | 128 (69.6) | 369 (61.5) | 39 (73.6) |
Overweight/Obese adolescents (Yes, n, %) | 218 (36.6) | 27 (47.4) | 16 3 (34.8) | 82 (44.6) | 220 (36.7) | 25 (47.2) |
Indoor exposure to dampness and/or mold (Yes, n, %) | 131 (21.9) | 10 (17.5) | 93 (19.8) | 48 (26.1) | 125 (20.8) | 16 (30.2) |
Adherence to an active physical activity lifestyle † | 74 (12.4) | 14 (3.5) | 48 (10.2) | 28 (15.2) | 74 (12.3) | 28 (11.2) |
High consumption of fruits, vegetables, and pulses per week (most or all days) | 175 (29.3) | 12 (3.5) | 126 (26.8) | 51 (27.7) | 169 (28.1) | 18 (15.1) |
High consumption of carbohydrates (bread, pasta, and rice) per week (most or all days) | 36 (6.0) | 14 (0.5) | 25 (5.3) | 13 (7.1) | 33 (5.5) | 15 (9.4) |
High consumption of dairy (milk, yogurt, and cheese) per week (most or all days) | 284 (46.6) | 19 (33.3) | 221 (47.0) | 82 (44.6) | 275 (45.8) | 28 (52.8) |
Low consumption of unhealthy foods (fast-food, sweets, and soft drinks) per week (up to twice) | 348 (58.3) | 23 (40.4) | 276 (58.7) | 95 (51.6) | 348 (57.9) | 23 (43.4) |
Parental Education level: Tertiary (n = 1280) | ||||||
n | 1205 | 75 | 470 | 184 | 1161 | 119 |
Boys (n, %) | 590 (49) | 40 (53.3) | 475 (48.8) | 155 (50.7) | 578 (49.8) | 52 (43.7) |
Pet ownership (Yes, n, %) | 335 (27.8) | 23 (30.7) | 269 (27.6) | 89 (29.1) | 318 (27.4) | 40 (33.6) |
Having an older sibling (Yes, n, %) | 490 (40.7) | 33 (44.0) | 405 (41.6) | 118 (38.6) | 464(40.0) | 59 (49.6) |
Parental atopic history (Yes, n, %) | 97 (8.0) | 13 (17.3) | 26 (5.5) | 19 (10.3) | 101 (8.7) | 9 (7.6) |
Parental ever smoking (Yes, n, %) | 631 (52.3) | 43 (57.3) | 74 (7.6) | 36 (11.8) | 608 (52.3) | 66 (55.5) |
Overweight/Obese adolescents (Yes, n, %) | 351 (29.1) | 27 (36.0) | 504 (51.6) | 170 (55.6) | 346 (29.8) | 32 (26.9) |
Indoor exposure to dampness and/or mold (Yes, n, %) | 293 (24.3) | 26 (34.7) | 238 (24.4) | 81 (26.5) | 277 (23.8) | 42 (35.3) |
Adherence to an active physical activity lifestyle | 353 (29.2) | 18 (24.0) | 281 (28.8) | 90 (29.4) | 346 (29.8) | 25 (21.0) |
High consumption of fruits, vegetables, and pulses per week (most or all days) | 98 (8,1) | 15 (6.7) | 97 (9.9) | 16 (2.0) | 98 (8.4) | 12 (4.2) |
High consumption of carbohydrates (bread, pasta, and rice) per week (most or all days) | 48 (4.0) | 14 (8.0) | 40 (4.1) | 14 (4.6) | 48 (4.1) | 18 (5.0) |
High consumption of dairy (milk, yogurt, and cheese) per week (most or all days) | 631 (52.3) | 30 (40.0) | 528 (54.1) | 133 (43.5) | 601 (51.7) | 60 (50.4) |
Low consumption of unhealthy foods (fast-food, sweets, and soft drinks) per week (up to twice) | 697 (57.7) | 41 (54.7) | 590 (60.5) | 148 (48.4) | 675 (58.0) | 63 (52.9) |
Adolescent’s Asthma Symptoms in the Past 12 Months (Current Asthma) | p for Interaction $ | Adolescent’s Allergic Rhinitis Symptoms in the Past 12 Months (Current Rhinitis) | p for Interaction | Adolescent’s Allergic Rash Symptoms in the Past 12 Months (Current Eczema) | p for Interaction | ||||
---|---|---|---|---|---|---|---|---|---|
Lifestyle patterns | Crude OR (95% CI) § | Adjusted † OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | |||
Adherence to an active physical activity lifestyle every week ‡ (Yes vs. No) | 0.59 * (0.36–0.96) | 0.67 (0.40–1.10) | 0.012 | 0.61 (0.40–0.94) | 1.21 (0.94–1.55) | 0.58 | 1.07 (0.84–1.37) | 0.59 (0.38–0.91) | 0.007 |
High consumption (most or all days) of fruits, vegetables, and pulses per week (Yes vs. No) | 0.27 (0.11–0.56) | 0.27 (0.12–0.60) | <0.001 | 0.45 (0.25–0.82) | 0.29 (0.35–0.82) | <0.001 | 0.73 (0.53–0.99) | 0.46 (0.25–0.83) | 0.029 |
High consumption (most or all days) of starchy products (cereal, bread, pasta, and rice) per week (Yes vs. No) | 1.25 (0.59–2.66) | 1.21 (0.57–2.60) | 0.44 | 1.36 (0.71–2.62) | 1.22 (0.76–1.95) | 0.68 | 1.2 (0.76–1.91) | 1.26 (0.63–2.38) | 0.74 |
High consumption (most or all days) of dairy (milk, yogurt, and cheese) per week (Yes vs. No) | 0.59 (0.41–0.85) | 0.61 (0.42–0.89) | 0.007 | 1.05 (0.77–1.44) | 0.73 (0.59–0.90) | 0.032 | 0.73 (0.59–0.90) | 1.11 (0.81–1.52) | 0.48 |
Low consumption (up to twice) of unhealthy foods (fast-food, sweets, lollies, and soft drinks) per week (Yes vs. No) | 0.69 (0.49–0.98) | 0.72 (0.51–1.04) | 0.015 | 0.65 (0.53–0.80) | 0.71 (0.53–0.92) | 0.021 | 0.61 (0.51–0.79) | 0.76 (0.55–1.05) | 0.79 |
Adolescent’s Asthma Symptoms in the Past 12 Months (Current Asthma) | Adolescent’s Allergic Rhinitis Symptoms in the Past 12 Months (Current Rhinitis) | Adolescent’s Allergic Rash Symptoms in the Past 12 Months (Current Eczema) | ||||
---|---|---|---|---|---|---|
Crude OR (95% CI) § | Adjusted † OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | |
Parental Education level: Primary/Secondary (n= 654) | ||||||
Adherence to an active physical activity lifestyle every week ‡ (Yes vs. No) | 0.24 (0.14–0.39) * | 0.56 (0.34–0.98) | 1.37 (0.82–2.28) | 1.59 (0.95–2.67) | 0.41 (0.43–0.87) | 0.62 (0.44–0.89) |
High consumption (most or all days) of fruits, vegetables, and pulses per week (Yes vs. No) | 0.44 (0.17–0.95) | 0.42 (0.29–0.92) | 0.53 (0.37–1.21) | 0.57 (0.46–1.24) | 0.34 (0.12–0.76) | 0.52 (0.32–0.78) |
High consumption (most or all days) of starchy products (cereal, bread, pasta, and rice) per week (Yes vs. No) | 0.24 (0.05–1.07) | 0.39 (0.09–1.73) | 1.09 (0.54–2.21) | 1.21 (0.59–2.45) | 0.63 (0.22–1.77) | 1.08 (0.39–2.95) |
High consumption (most or all days) of dairy (milk, yogurt, and cheese) per week (Yes vs. No) | 0.23 (0.14–0.37) | 0.45 (0.26–0.79) | 0.57 (0.43–0.77) | 0.71 (0.51–0.98) | 0.33 (0.22–0.51) | 0.85 (0.51–1.43) |
Low consumption (up to twice) of unhealthy foods (fast-food, sweets, lollies, and soft drinks) per week (Yes vs. No) | 0.18 (0.12–0.29) | 0.38 (0.22–0.64) | 0.44 (0.33–0.58) | 0.54 (0.39–0.76) | 0.16 (0.10–0.24) | 0.39 (0.23–0.66) |
Parental Education level: Tertiary (n = 1280) | ||||||
Adherence to an active physical activity lifestyle every week ‡ (Yes vs. No) | 0.12 (0.03–0.50) | 0.18 (0.04–0.78) | 0.86 (0.65–1.13) | 1.02 (0.77–1.36) | 0.27 (0.17–0.41) | 0.39 (0.22–0.78) |
High consumption (most or all days) of fruits, vegetables, and pulses per week (Yes vs. No) | 0.14 (0.11–0.37) | 0.17 (0.12–0.40) | 0.17 (0.07–0.39) | 0.19 (0.08–0.45) | 0.17 (0.08–0.35) | 0.35 (0.16–0.75) |
High consumption (most or all days) of starchy products (cereal, bread, pasta, and rice) per week (Yes vs. No) | 0.48 (0.19–1.21) | 1.92 (0.77–4.82) | 0.84 (0.44–1.60) | 1.19 (0.62–2.28) | 0.39 (0.16–1.03) | 1.03 (0.42–2.54) |
High consumption (most or all days) of dairy (milk, yogurt, and cheese) per week (Yes vs. No) | 0.14 (0.09–0.20) | 0.22 (0.17–0.45) | 0.47 (0.38–0.59) | 0.31 (0.18–0.49) | 0.28 (0.21–0.38) | 0.74 (0.52–1.05) |
Low consumption (up to twice) of unhealthy foods (fast-food, sweets, lollies, and soft drinks) per week (Yes vs. No) | 0.15 (0.11–0.21) | 0.59 (0.38–0.87) | 0.40 (0.33–0.50) | 0.36 (0.23–0.52) | 0.42 (0.36–0.59) | 0.22 (0.05–0.92) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 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
Antonogeorgos, G.; Panagiotakos, D.B.; Priftis, K.N.; Liakou, E.; Koutsokera, A.; Drakontaeidis, P.; Thanasia, M.; Mandrapylia, M.; Moriki, D.; Ellwood, P.; et al. Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents. Children 2022, 9, 686. https://doi.org/10.3390/children9050686
Antonogeorgos G, Panagiotakos DB, Priftis KN, Liakou E, Koutsokera A, Drakontaeidis P, Thanasia M, Mandrapylia M, Moriki D, Ellwood P, et al. Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents. Children. 2022; 9(5):686. https://doi.org/10.3390/children9050686
Chicago/Turabian StyleAntonogeorgos, George, Demosthenes B. Panagiotakos, Kostas N. Priftis, Evangelia Liakou, Alexandra Koutsokera, Pavlos Drakontaeidis, Marina Thanasia, Maria Mandrapylia, Dafni Moriki, Philippa Ellwood, and et al. 2022. "Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents" Children 9, no. 5: 686. https://doi.org/10.3390/children9050686
APA StyleAntonogeorgos, G., Panagiotakos, D. B., Priftis, K. N., Liakou, E., Koutsokera, A., Drakontaeidis, P., Thanasia, M., Mandrapylia, M., Moriki, D., Ellwood, P., García-Marcos, L., & Douros, K. (2022). Parental Education Moderates the Relation between Physical Activity, Dietary Patterns and Atopic Diseases in Adolescents. Children, 9(5), 686. https://doi.org/10.3390/children9050686