Top

BMC Public Health

Published in:

Open Access 01-12-2021 | Obesity | Research article

Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study

Authors: Maxime Luiggi, Olivier Rey, Maxime Travert, Jean Griffet

Published in: BMC Public Health | Issue 1/2021

Abstract

Background

The main objective of this study was to investigate the interaction effect of school socioeconomic composition (SEC) and adolescent socioeconomic status (SES) in the prevalence of overweight and obesity among a representative sample of French adolescents of the third most populous département of France.

Methods

1038 adolescents agreed to participate (response rate: 91.4%). They self-reported anthropomorphic variables, SES, school lunch and physical activity. The body mass index was divided into six categories according to the Center for Disease Control. Multivariable binary logistic regressions analysis without and with interaction term were performed on overweight or obesity. Models fit was compared using the Aikaike Information Criterion. Odds-ratios (OR) and their 95% accelerated-bootstrap confidence interval (95%BCa CI) were computed to estimate overweight or obesity risk.

Results

8.9% of the adolescents were overweight. 3.4% were obese. No school-SEC effect was observed among low-SES adolescents. Medium-SES adolescents were at greater risk in low-SEC (OR = 10.75, 95%BCa CI = 2.67–64.57) and medium-SEC (OR = 5.08, 95%BCa CI = 1.55–24.84) compared with high-SEC schools. High-SES adolescents in low-SEC schools were at greater risk compared with those in medium-SEC (OR = 5.94, 95%BCa CI = 1.94–17.29) and high-SEC schools (OR = 4.99, 95%BCa CI = 1.71–13.14). A social gradient was observed in medium-SEC (OR_low/high = 2.79, 95%BCa CI = 1.22–7.41) and high-SEC (OR_low/medium = 6.86, 95%BCa CI = 1.06–5.22*10⁶) schools.

Conclusions

Physical activity and lunch at and outside school help to understand these differences. Implications for obesity prevention initiatives are discussed.

Available only for authorised users

Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997;337(13):869–73. https://doi.org/10.1056/NEJM199709253371301.CrossRefPubMed

Magarey AM, Daniels LA, Boulton TJ, Cockington RA. Predicting obesity in early adulthood from childhood and parental obesity. Int J Obes. 2003;27(4):505–13. https://doi.org/10.1038/sj.ijo.0802251.CrossRef

Datar A, Nicosia N. Assessing social contagion in body mass index, overweight, and obesity using a natural experiment. JAMA Pediatr. 2018;172(3):239–46. https://doi.org/10.1001/jamapediatrics.2017.4882.CrossRefPubMedPubMedCentral

Sothern MS. Obesity prevention in children: physical activity and nutrition. Nutrition. 2004;20(7–8):704–8. https://doi.org/10.1016/j.nut.2004.04.007.CrossRefPubMed

Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8(1):1–22. https://doi.org/10.1186/1479-5868-8-98.CrossRef

Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7(1):40. https://doi.org/10.1186/1479-5868-7-40.CrossRefPubMedPubMedCentral

Asirvatham J, Thomsen MR, Nayga RM, Goudie A. Do fast food restaurants surrounding schools affect childhood obesity? Econ Hum Biol. 2019;33:124–33. https://doi.org/10.1016/j.ehb.2019.01.011.CrossRefPubMedPubMedCentral

Davis B, Carpenter C. Proximity of fast-food restaurants to schools and adolescent obesity. Am J Public Health. 2009;99(3):505–10. https://doi.org/10.2105/AJPH.2008.137638.CrossRefPubMedPubMedCentral

Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJF, Martin BW. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71. https://doi.org/10.1016/S0140-6736(12)60735-1.CrossRefPubMed

10.

Jin H, Lu Y. The relationship between obesity and socioeconomic status among Texas school children and its spatial variation. Appl Geogr. 2017;79:143–52. https://doi.org/10.1016/j.apgeog.2016.12.008.CrossRef

11.

Macdonald L, Olsen JR, Shortt NK, Ellaway A. Do ‘environmental bads’ such as alcohol, fast food, tobacco, and gambling outlets cluster and co-locate in more deprived areas in Glasgow City, Scotland? Heal Place. 2018;51:224–31. https://doi.org/10.1016/j.healthplace.2018.04.008.CrossRef

12.

Maguire ER, Burgoine T, Penney TL, Forouhi NG, Monsivais P. Does exposure to the food environment differ by socioeconomic position? Comparing area-based and person-centred metrics in the fenland study, UK. Int J Health Geogr. 2017;16(1):33. https://doi.org/10.1186/s12942-017-0106-8.CrossRefPubMedPubMedCentral

13.

Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–14. https://doi.org/10.1016/S0140-6736(11)60813-1.

14.

Niu L, Hoyt LT, Pachucki MC. Context matters: adolescent neighborhood and school influences on young adult body mass index. J Adolesc Health. 2019;64(3):405–10. https://doi.org/10.1016/j.jadohealth.2018.09.024.CrossRefPubMed

15.

Yang Z, Phung H, Hughes AM, Sherwood S, Harper E, Kelly P. Trends in overweight and obesity by socioeconomic status in year 6 school children, Australian Capital Territory, 2006-2018. BMC Public Health. 2019;19(1):1512. https://doi.org/10.1186/s12889-019-7645-9.CrossRefPubMedPubMedCentral

16.

Andrea SB, Hooker ER, Messer LC, Tandy T, Boone-Heinonen J. Does the association between early life growth and later obesity differ by race/ethnicity or socioeconomic status? A systematic review. Ann Epidemiol. 2017;27(9):583–92.e5. https://doi.org/10.1016/j.annepidem.2017.08.019.CrossRefPubMedPubMedCentral

17.

Kim Y, Landgraf A, Colabianchi N. Living in high-SES neighborhoods is protective against obesity among higher-income children but not low-income children: results from the healthy communities study. J Urban Heal. 2020;97(2):175–90. https://doi.org/10.1007/s11524-020-00427-9.CrossRef

18.

Villa-Caballero L, Caballero-Solano V, Chavarría-Gamboa M, et al. Obesity and socioeconomic status in children of Tijuana. Am J Prev Med. 2006;30(3):197–203. https://doi.org/10.1016/j.amepre.2005.10.023.CrossRefPubMed

19.

Omorou AY, Manneville F, Langlois J, et al. Physical activity rather than sedentary behaviour is socially determined in French adolescents with overweight and obesity. Prev Med (Baltim). 2020;134:106043. https://doi.org/10.1016/j.ypmed.2020.106043.CrossRef

20.

Drewnowski A. Obesity, diets, and social inequalities. Nutr Rev. 2009;67(SUPPL. 1):S36–9. https://doi.org/10.1111/j.1753-4887.2009.00157.x.CrossRefPubMed

21.

Obépi Roche. Enquête Épidémiologique Nationale Sur Le Surpoids et l’obésité.; 2012. https://presse.inserm.fr/wp-content/uploads/2012/10/obepi_2012.pdf. Accessed 9 Jul 2020.

22.

Institut National de la Statistiques et des Etudes Economiques. Dossier Complet - Département Des Bouches-Du-Rhône (13).; 2020. https://www.insee.fr/fr/statistiques/2011101?geo=DEP-13#consulter-sommaire.

23.

Ly ST, Riegert A. COMMENT L’ÉCOLE AMPLIFIE LES INÉGALITÉS SOCIALES ET MIGRATOIRES ? Mixité Sociale et Scolaire et Ségrégation Inter-et Intra-Établissement Dans Les Collèges et Lycées Français. http://www.cnesco.fr/wp-content/uploads/2016/09/SegregationFrance1.pdf. Accessed 22 Jul 2020.

24.

Kuczmarski R, Ogden C, Guo S, et al. CDC growth charts for the United States: methods and development. Vital Heal Stat. 2000;2002, 11(246) https://www.cdc.gov/growthcharts/2000growthchart-us.pdf.

25.

Guignon N, Delmas M, Fonteneau L. En 2017, Des Adolescents Plutôt En Meilleure Santé Physique Mais plus Souvent En Surcharge Pondérale.; 2019. https://drees.solidarites-sante.gouv.fr/sites/default/files/er1122.pdf.

26.

Luiggi M, Travert M, Griffet J. Temporal trends in sports participation among adolescents between 2001 and 2015: a French school- and territory-based study. Int J Environ Res Public Health. 2018;15(7):1335. https://doi.org/10.3390/ijerph15071335.CrossRefPubMedCentral

27.

Décret N° 2019–351 Du 23 Avril 2019 Relatif à La Composition Des Repas Servis Dans Les Restaurants Collectifs En Application de l’article L. 230–5-1 Du Code Rural et de La Pêche Maritime. https://www.legifrance.gouv.fr/affichTexte.do?cidTexte=JORFTEXT000038403867&categorieLien=id. Accessed 22 Jul 2020.

28.

Craig CL, Marshall AL, Sjöström M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95. https://doi.org/10.1249/01.MSS.0000078924.61453.FB.CrossRefPubMed

29.

Armstrong T, Bull F. Development of the World Health Organization global physical activity questionnaire (GPAQ). J Public Health (Bangkok). 2006;14(2):66–70. https://doi.org/10.1007/s10389-006-0024-x.CrossRef

30.

Lamprecht M, Bürgi R, Stamm H. Sport Suisse; 2014. p. 2014.

31.

Ainsworth BE, Haskell WL, Herrmann SD, et al. 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43(8):1575–81. https://doi.org/10.1249/MSS.0b013e31821ece12.CrossRefPubMed

32.

Lear SA, Hu W, Rangarajan S, Gasevic D, Leong D, Iqbal R, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet. 2017;390(10113):2643–54. https://doi.org/10.1016/S0140-6736(17)31634-3.CrossRefPubMed

33.

Efron B. An Introduction to the Bootstrap - 1st Edition - Bradley Efron - R.J. https://www.routledge.com/An-Introduction-to-the-Bootstrap/Efron-Tibshirani/p/book/9780412042317. Accessed 6 Jul 2020.

34.

Sanchez-Vaznaugh EV, Weverka A, Matsuzaki M, Sánchez BN. Changes in fast food outlet availability near schools: unequal patterns by income, race/ethnicity, and Urbanicity. Am J Prev Med. 2019;57(3):338–45. https://doi.org/10.1016/j.amepre.2019.04.023.CrossRefPubMedPubMedCentral

35.

Li Y, Du T, Huff-Corzine L, Johnson K, Noyongoyo B. Where is the fruit? Multidimensional inequalities in food retail environments around public elementary schools. Child Care Health Dev. 2019;45(4):cch.12671. https://doi.org/10.1111/cch.12671.CrossRef

36.

Klugman J, Lee JC. Social closure, school socioeconomic composition, and inequality in college enrollments. Soc Sci Res. 2019;80:156–85. https://doi.org/10.1016/j.ssresearch.2018.12.021.CrossRefPubMed

37.

Palardy GJ. Differential school effects among low, middle, and high social class composition schools: a multiple group, multilevel latent growth curve analysis. Sch Eff Sch Improv. 2008;19(1):21–49. https://doi.org/10.1080/09243450801936845.CrossRef

38.

Bégué P, Gangeot-Keros B-P, Hermange P, et al. La médecine scolaire en France. Bull Acad Natl Med. 2017;201(7–9):957–72. https://doi.org/10.1016/s0001-4079(19)30413-3.CrossRef

39.

Sherry B, Jefferds ME, Grummer-Strawn LM. Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med. 2007;161(12):1154–61. https://doi.org/10.1001/archpedi.161.12.1154.CrossRefPubMed

40.

Bowring AL, Peeters A, Freak-Poli R, Lim MSC, Gouillou M, Hellard M. Measuring the accuracy of self-reported height and weight in a community-based sample of young people. BMC Med Res Methodol. 2012;12(1). https://doi.org/10.1186/1471-2288-12-175.

41.

Allison C, Colby S, Opoku-Acheampong A, Kidd T, Kattelmann K, Olfert MD, et al. Accuracy of self-reported BMI using objective measurement in high school students. J Nutr Sci. 2020;9:e35. https://doi.org/10.1017/jns.2020.28.

42.

Olfert MD, Barr ML, Charlier CM, Famodu O, Zhou W, Mathews A, et al. Self-reported vs. measured height, weight, and BMI in young adults. Int J Environ Res Public Health. 2018;15(10):1–9. https://doi.org/10.3390/ijerph15102216.

43.

Lipsky LM, Haynie DL, Hill C, Nansel TR, Li K, Liu D, et al. Accuracy of self-reported height, weight, and BMI over time in emerging adults. Am J Prev Med. 2019;56(6):860–8. https://doi.org/10.1016/j.amepre.2019.01.004.

44.

Stommel M, Osier N. Temporal changes in bias of body mass index scores based on self-reported height and weight. Int J Obes. 2013;37(3):461–7. https://doi.org/10.1038/ijo.2012.67.CrossRef

45.

Rivière F, Widad FZ, Speyer E, Erpelding ML, Escalon H, Vuillemin A. Reliability and validity of the French version of the global physical activity questionnaire. J Sport Heal Sci. 2018;7(3):339–45. https://doi.org/10.1016/j.jshs.2016.08.004.CrossRef

46.

Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6(6):790–804. https://doi.org/10.1123/jpah.6.6.790.CrossRefPubMed

47.

Cleland CL, Hunter RF, Kee F, Cupples ME, Sallis JF, Tully MA. Validity of the global physical activity questionnaire (GPAQ) in assessing levels and change in moderate-vigorous physical activity and sedentary behaviour. BMC Public Health. 2014;14(1):1–11. https://doi.org/10.1186/1471-2458-14-1255.CrossRef

48.

Gorzelitz J, Peppard PE, Malecki K, Gennuso K, Nieto FJ, Cadmus-Bertram L. Predictors of discordance in self-report versus device-measured physical activity measurement. Ann Epidemiol. 2018;28(7):427–31. https://doi.org/10.1016/j.annepidem.2018.03.016.CrossRefPubMedPubMedCentral

Title: Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study
Authors: Maxime Luiggi
Olivier Rey
Maxime Travert
Jean Griffet
Publication date: 01-12-2021
Publisher: BioMed Central
Keywords: Obesity
Obesity
Overweight
Published in: BMC Public Health / Issue 1/2021
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-021-11752-2

At a glance: The STEP trials

Springer Medicine

Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2021

Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article

Association between temperature exposure and cognition: a cross-sectional analysis of 20,687 aging adults in the United States

Associations of meeting 24-h movement guidelines with stress and self-rated health among adults: is meeting more guidelines associated with greater benefits?

Differences in 5-year weight change between younger and older US firefighters

Can a ‘rewards-for-exercise app’ increase physical activity, subjective well-being and sleep quality? An open-label single-arm trial among university staff with low to moderate physical activity levels

Structural inequities in seasonal influenza vaccination rates