Changes in the prevalence of obesity in Czech adolescents between 2018 and 2022 and its current non-genetic correlates - HBSC study
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
37880679
PubMed Central
PMC10601351
DOI
10.1186/s12889-023-17010-x
PII: 10.1186/s12889-023-17010-x
Knihovny.cz E-zdroje
- Klíčová slova
- Eating habits, HBSC study, Obesity, Physical activity, Sleeping, Socioeconomic status,
- MeSH
- dítě MeSH
- index tělesné hmotnosti MeSH
- lidé MeSH
- mladiství MeSH
- nadváha epidemiologie MeSH
- obezita * epidemiologie genetika MeSH
- prevalence MeSH
- školy * MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
BACKGROUND: The main aim of the study is to examine changes in the prevalence of obesity in Czech adolescents between 2018 and 2022 and its current non-genetic correlates with respect to the adolescents' families'socioeconomic status (SES) in 2022. METHODS: The sample of 24,535 adolescents (n = 11,629/12,9062018/2022; boys: 50.4/50.6%2018/2022) aged 10.5-16.5 years that was analysed was drawn from two nationally representative cohorts of Czech youngsters from the last two cycles of the Health Behaviour in School-aged Children (HBSC) online questionnaire survey from 2018 to 2022. Obesity is represented by the > 97th percentile interval on the World Health Organization Body Mass Index percentile chart, with distinctions by sex and the age of adolescents. The differences in the prevalence of obesity between boys and girls from all SES family categories in 2018 and 2022 were tested using a chi-square test (χ2). Multiple logistic regression analysis with repeated measures was used to analyse correlates of obesity in 2022. RESULTS: Between 2018 and 2022, there was no significant difference in the prevalence of obesity in girls or boys in any of the SES categories of families. Adolescents from low-SES families have the highest prevalence of obesity, 11% for boys and 5.8% for girls, significantly higher (p < .001) than its prevalence among adolescents from high-SES families, by + 4.8% points for boys and + 3.9% points for girls. Among adolescents from low-SES families, individuals who engaged in moderate-to-vigorous physical activity (PA) daily (p < .005) or vigorous PA three times per week (p < .05) were significantly less likely to be obese than their less active peers. Skipping breakfast significantly (p < .05) increased the odds of obesity, but only among adolescents from low-SES families. Shorter screen time (ST) significantly (p < .05) reduced the odds of obesity for all categories of adolescent SES. CONCLUSIONS: Obesity is most pronounced in adolescents from low-SES families as a result of a long-term positive energy balance mediated by unbalanced behaviour. Significantly lower odds of obesity in adolescents from low-SES families were confirmed to be associated with regular practice of the recommended PA, shorter ST, and not skipping breakfast.
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WHO European Regional Obesity Report. 2022. Copenhagen: WHO Regional Office for Europe 2022. https://apps.who.int/iris/bitstream/handle/10665/353747/9789289057738-eng.pdf Accessed 23 April 2023.
Hemmingsson E, Nowicka P, Ulijaszek S, Sørensen TIA. The social origins of obesity within and across generations. Obes Rev. 2023;24(1):e13514. doi: 10.1111/obr.13514. PubMed DOI PMC
Romieu I, Dossus L, Barquera S, Blottière HM, Franks PW, Gunter M, et al. Energy balance and obesity: what are the main drivers? Can Causes Contr. 2017;28(3):247–58. doi: 10.1007/s10552-017-0869-z. PubMed DOI PMC
Haghjoo P, Siri G, Soleimani E, Farhangi MA, Alesaeidi S. Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis. BMC Prim Care. 2022;23:161. doi: 10.1186/s12875-022-01761-4. PubMed DOI PMC
Inchley J, Currie D, Jewell J, Breda J, Barnekow V. Adolescent obesity and related behaviours: trends and inequalities in the WHO European Region, 2002–2014. WHO Regional Office for Europe 2017. http://www.euro.who.int/__data/assets/pdf_file/0019/339211/WHO_ObesityReport_2017_v3.pdf?ua=1. Accessed 23 April 2023.
Stavridou A, Kapsali E, Panagouli E, et al. Obesity in children and adolescents during COVID-19 pandemic. Child (Basel) 2021;8(2):135. doi: 10.3390/children8020135. PubMed DOI PMC
Browne NT, Snethen JA, Greenberg CS, et al. When pandemics collide: the impact of COVID-19 on childhood obesity. J Pediatr Nurs. 2021;56:90–8. doi: 10.1016/j.pedn.2020.11.004. PubMed DOI PMC
Štveráková T, Jačisko J, Busch A, Šafářová M, Kolář P, Kobesová A. The impact of COVID-19 on physical activity of Czech Children. PLoS ONE. 2021;16(8):e0254244. doi: 10.1371/journal.pone.0254244. PubMed DOI PMC
Ng K, Cosma A, Svacina K, Boniel-Nissim M, Badura P. Czech adolescents’ Remote School and Health experiences during the Spring 2020 COVID-19 Lockdown. Prev Med Rep. 2021;22:101386. doi: 10.1016/j.pmedr.2021.101386. PubMed DOI PMC
Cosma A, Pavelka J, Badura P. Leisure Time Use and Adolescent Mental Well-Being: Insights from the COVID-19 Czech Spring Lockdown. Int J Environ Res Public Health. 2021; 18(23):12812. 10.3390/ijerph182312812 Accessed 12 May 2023. PubMed PMC
Hardy LL, Mihrshahi S, Gale J, Drayton BA, Bauman A, Mitchell J. 30-year trends in overweight, obesity and waist-to-height ratio by socioeconomic status in Australian children, 1985 to 2015. Int J Obes (Lond) 2017;41(1):76–82. doi: 10.1038/ijo.2016.204. PubMed DOI PMC
Goto R, Nianogo R, Okubo Y, Inoue K. Evaluation of obesity Trends among US adolescents by Socioeconomic Status, 1999–2018. JAMA Pediatr. 2022;176(9):937–40. doi: 10.1001/jamapediatrics.2022.1838. PubMed DOI PMC
Johnson KA, Showell NN, Flessa S, et al. Do neighborhoods Matter? A systematic review of modifiable risk factors for obesity among low Socio-Economic Status Black and Hispanic Children. Child Obes. 2019;15(2):71–86. doi: 10.1089/chi.2018.0044. PubMed DOI PMC
Sigmund E, Sigmundová D, Badura P, et al. Time-trends and correlates of obesity in Czech adolescents in relation to family socioeconomic status over a 16-year study period (2002–2018) BMC Public Health. 2020;20:229. doi: 10.1186/s12889-020-8336-2. PubMed DOI PMC
Inchley J, Currie D, Budisavljevic S et al. Spotlight on adolescent health and weell-being. Findings from the 2017/2018 Health Behaviour in School-aged Children (HBSC) survey in Europe and Canada. International report. Volume 1. Key findings. Copenhagen: WHO Regional Office for Europe 2020. https://apps.who.int/iris/handle/10665/332091 Accessed 27 April 2023.
Inchley J, Currie D, Budisavljevic S, et al. Spotlight on adolescent health and weell-being. Findings from the 2017/2018 Health Behaviour in School-aged children (HBSC) survey in Europe and Canada. International report. Volume 2. Key data. Copenhagen: WHO Regional Office for Europe; 2020.
Moor I, Winter K, Bilz L, et al. The 2017/18 Health Behaviour in School-aged children (HBSC) study – methodology of the World Health Organization’s child and adolescent health study. J Health Monit. 2020;5(3):88–102. PubMed PMC
Inchley J, Inchley J, Currie D, Cosma A et al. Health Behaviour in School-aged Children (HBSC) Study Protocol: background, methodology and mandatory items for the 2017/18 survey. St Andrews: CAHRU; 2018. https://hbsc.org/publications/survey-protocols/ Accessed 27 April 2023.
de Onis M, Lobstein T. Defining obesity risk status in the general childhood population: which cut-offs should we use? Int J Pediatr Obes. 2010;5(6):458–0. doi: 10.3109/17477161003615583. PubMed DOI
de Onis M, Onyango AW, 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(9):660–7. doi: 10.2471/BLT.07.043497. PubMed DOI PMC
Rios-Leyvraz M, Ortega N, Chiolero A. Reliability of self-reported height and weight in children: a School-based cross-sectional study and a review. Nutrients. 2022;15(1):75. doi: 10.3390/nu15010075. PubMed DOI PMC
Aasvee K, Rasmussen M, Kelly C, Kurvinen E, Giacchi MV, Ahluwalia N. Validity of self-reported height and weight for estimating prevalence of overweight among Estonian adolescents: the Health Behaviour in School-aged children study. BMC Res Notes. 2015;8:606. doi: 10.1186/s13104-015-1587-9. PubMed DOI PMC
Torsheim T, Cavallo F, Levin KA, Schnohr C, Mazur J, Niclasen B, et al. Psychometric validation of the revised family affluence scale: a latent variable approach. Child Ind Res. 2016;9:771–84. doi: 10.1007/s12187-015-9339-x. PubMed DOI PMC
Elgar FJ, Xie AP, Timo K, White J, Pickett KE. Assessing the view from bottom: How to measure socioeconomic position and relative deprivation in adolescents. SAGE Res Met Cas. 2017;Vol. Part 2, SAGE. https://orca.cardiff.ac.uk/id/eprint/98969 Accessed 11 May 2023.
Corell M, Chen Y, Friberg P, Petzold M, Löfstedt P. Does the family affluence scale reflect actual parental earned income, level of education and occupational status? A validation study using register data in Sweden. BMC Public Health. 2021;21:1995. doi: 10.1186/s12889-021-11968-2. PubMed DOI PMC
Hobza V, Hamrik Z, Bucksch J, De Clerq B. The family affluence scale as an indicator for socioeconomic status: validation on regional income differences in the Czech Republic. Int J Environ Res Public Health. 2017;14(12):E1540. doi: 10.3390/ijerph14121540. PubMed DOI PMC
Bull FC, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–62. doi: 10.1136/bjsports-2020-102955. PubMed DOI PMC
Blahošová J, Lebedíková M, Tancoš M et al. Jak čeští adolescenti používají své mobily? Analýza dat z chytrých telefonů [How do Czech adolescents use their mobile phones? Smartphone data analysis] Brno: Masarykova univerzita; 2023. https://irtis.muni.cz/media/3524142/wp4_report_jak-cesti-adolescenti-pouzivaji-sve-mobily.pdf Accessed 25 May 2023.
Prochaska JJ, Sallis JF, Long B. A physical activity screening measure for use with adolescents in primary care. Arch Pediatr Adolesc Med. 2001;155(5):554–9. doi: 10.1001/archpedi.155.5.554. PubMed DOI
Bosakova L, Kolarcik P, Bobakova D, Sulcova M, Van Dijk JP, Reijneveld SA, et al. Test-retest reliability of the scale of participation in organized activities among adolescents in the Czech Republic and Slovakia. Int J Public Health. 2016;61(3):329–36. doi: 10.1007/s00038-015-0749-9. PubMed DOI
Bobakova D, Hamrik Z, Badura P, Sigmundova D, Nalecz H, Kalman M. Test-retest reliability of selected physical activity and sedentary behavior HBSC items in the Czech Republic, Slovakia and Poland. Int J Public Health. 2015;60(1):59–67. doi: 10.1007/s00038-014-0628-9. PubMed DOI
Liu Y, Wang M, Tynjälä J, Lv Y, Villberg J, Zhang Z, et al. Test–retest reliability of selected items of Health Behaviour in School-aged children (HBSC) survey questionnaire in Beijing, China. BMC Med Res Methodol. 2010;10:73. doi: 10.1186/1471-2288-10-73. PubMed DOI PMC
Schmitz KH, Harnack L, Fulton JE, Jacobs DRJr, Gao S, Lytle AL, et al. Reliability and validity of a brief questionnaire to assess television viewing and computer use by middle school children. J Sch Health. 2004;74(9):370–7. doi: 10.1111/j.1746-1561.2004.tb06632.x. PubMed DOI
Rey-López JP, Vicente-Rodriguez G, Ortega FB, Ruiz JR, Martinez-Gómez D, De Henauw S, et al. Sedentary patterns and media availability in European adolescents: the HELENA study. Prev Med. 2010;51(1):50–5. doi: 10.1016/j.ypmed.2010.03.013. PubMed DOI
Su Y, Zhang Y, Chen ST, Hong JT, Wang H. Is the Health Behavior in School-aged Survey Questionnaire reliable and valid in assessing physical activity and sedentary behavior in young populations? A systematic review. Front Public Health. 2022;10:729641. doi: 10.3389/fpubh.2022.729641. PubMed DOI PMC
Leger D, Beck F, Richard JB, Godeau E. Total sleep time severely drops during adolescence. PLoS ONE. 2012;7(10):e45204. doi: 10.1371/journal.pone.0045204. PubMed DOI PMC
Paruthi S, Brooks LJ, DʼAmbrosio C, Hall WA, Kotagal S, Lloyd RM, et al. Recommended amount of sleep for pediatric populations: a consensus statement of the American Academy of Sleep Medicine. J Clin Sleep Med. 2016;12(6):785–6. doi: 10.5664/jcsm.5866. PubMed DOI PMC
Nascimento-Ferreira MV, Collese TS, de Moraes ACF, Rendo-Urteaga T, Moreno LA, Carvalho HB. Validity and reliability of sleep time questionnaires in children and adolescents: a systematic review and meta-analysis. Sleep Med Rev. 2016;30:85–96. doi: 10.1016/j.smrv.2015.11.006. PubMed DOI
Lobstein T, Jackson-Leach R, Powis J et al. World Obesity Atlas 2023. London: World Obesity Federation 2023. https://data.worldobesity.org/publications/?cat=19 Accessed 25 May 2023.
Gätjens I, Hasler M, di Giuseppe R et al. Family and Lifestyle Factors Mediate the Relationship between Socioeconomic Status and Fat Mass in Children and Adolescents. Obes Facts 2020;13(6):596–607. 10.1159/000511927 Accessed 6 June 2023. PubMed PMC
Ardeshirlarijani E, Namazi N, Jabbari M et al. The link between breakfast skipping and overweigh/obesity in children and adolescents: a meta-analysis of observational studies. J Diabetes Metab Disord 2019;18(2):657–64. 10.1007/s40200-019-00446-7 Accessed 7 June 2023. PubMed PMC
Chen S, Zhang X, Du W, Fan L, Zhang F. Association of insufficient sleep and skipping breakfast with overweight/obesity in children and adolescents: Findings from a cross-sectional provincial surveillance project in Jiangsu. Pediatr Obes 2022;17(11):e12950. 10.1111/ijpo.12950 Accessed 7 June 2023. PubMed
Deng X, He M, He D, Zhu Y, Zhang Z, Niu W. Sleep duration and obesity in children and adolescents: evidence from an updated and dose–response meta-analysis. Sleep Med 2021;78:169–81. 10.1016/j.sleep.2020.12.027 Accessed 7 June 2023. PubMed
Seo SH, Shim YS. Association of Sleep Duration with Obesity and Cardiometabolic Risk Factors in Children and Adolescents: A Population-Based Study. Sci Rep 2019;9:9463. 10.1038/s41598-019-45951-0 Accessed 7 June 2023. PubMed PMC
Sluggett L, Wagner SL, Harris RL. Sleep Duration and Obesity in Children and Adolescents. Can J Diab 2019;43(2):146–52. 10.1016/j.jcjd.2018.06.006 Accessed 7 June 2023. PubMed
Sigmundová D, Dygrýn J, Vorlíček M, Banátová K, Voráčová J, Sigmund E. FAMIly physical activity, sedentary behaviour and sleep (FAMIPASS) study: protocol for cross-sectional study. BMJ Open. 2023;13(8):e073244. doi: 10.1136/bmjopen-2023-073244. PubMed DOI PMC
Sigmundova D, Sigmund E, Hamrik Z, Kalman M. Trends of overweight and obesity, physical activity and sedentary behaviour in Czech schoolchildren. Eur J Pub Health. 2014;24(2):210–5. 10.1093/eurpub/ckt085 Accessed 14 September 2023. PubMed PMC
Ojala K, Vereecken C, Välimaa R, Currie C et al. Attempts to lose weight among overweight and non-overweight adolescents: a cross-national survey. Int J Behav Nutr Phys Act. 2007;4:50. 10.1186/1479-5868-4-50 Accessed 14 September 2023. PubMed PMC
Anekwe CV, Jarrell AR, Townsend MJ et al. Socioeconomics of Obesity. Curr Obes Rep 2020; 9(3):272–9. 10.1007/s13679-020-00398-7 Accessed 6 June 2023. PubMed PMC