Weight Development from Age 13 to 30 years and Adolescent Socioeconomic Status: The Norwegian Longitudinal Health Behaviour Study

Overview

Journal Int J Public Health

Specialty Public Health

Date 2015 Oct 9

PMID 26446084

Citations 7

Authors

Ingunn Holden Bergh

Oivind Skare

Annalena Aase

Knut-Inge Klepp

Nanna Lien

Affiliations

Soon will be listed here.

Abstract

Objectives: To describe the weight development and model change in body mass index (BMI), and to examine the association of adolescent socioeconomic status (SES) with change in BMI distribution in a cohort followed from adolescence through adulthood.

Methods: Participants (n = 924) from western Norway were surveyed seven times from age 13 to 30 (1990-2007). BMI was based on self-reported height and weight. Quantile regression analyses were used to model change in weight development and to investigate associations between SES (measured by parental education) and change in BMI distribution. The analyses were adjusted for curvilinearity in BMI development, gender and relevant health behaviours.

Results: Body mass index increased over time with the greatest increase in the 90th percentile. No significant associations between change in BMI and SES were observed at any of the percentiles (10th, 25th, 50th, 75th or 90th).

Conclusions: Those in the upper BMI percentile gained more weight than those in the lower percentiles indicating that these might need targeted interventions. Further investigation of the association of change in BMI and SES with better quality data might be warranted.

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References

Hardy R, Wadsworth M, Kuh D . The influence of childhood weight and socioeconomic status on change in adult body mass index in a British national birth cohort. Int J Obes Relat Metab Disord. 2000; 24(6):725-34. DOI: 10.1038/sj.ijo.0801238. View

Jansen W, van de Looij-Jansen P, Ferreira I, de Wilde E, Brug J . Differences in measured and self-reported height and weight in Dutch adolescents. Ann Nutr Metab. 2006; 50(4):339-46. DOI: 10.1159/000094297. View

Kautiainen S, Rimpela A, Vikat A, Virtanen S . Secular trends in overweight and obesity among Finnish adolescents in 1977-1999. Int J Obes Relat Metab Disord. 2002; 26(4):544-52. DOI: 10.1038/sj.ijo.0801928. View

Connor Gorber S, Tremblay M, Moher D, Gorber B . A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev. 2007; 8(4):307-26. DOI: 10.1111/j.1467-789X.2007.00347.x. View

Giskes K, van Lenthe F, Turrell G, Kamphuis C, Brug J, Mackenbach J . Socioeconomic position at different stages of the life course and its influence on body weight and weight gain in adulthood: a longitudinal study with 13-year follow-up. Obesity (Silver Spring). 2008; 16(6):1377-81. DOI: 10.1038/oby.2008.54. View

Anderssen N, Jacobs Jr D, Aas H, Jakobsen R . Do adolescents and parents report each other's physical activity accurately?. Scand J Med Sci Sports. 1995; 5(5):302-7. DOI: 10.1111/j.1600-0838.1995.tb00049.x. View

Shrewsbury V, Wardle J . Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990-2005. Obesity (Silver Spring). 2008; 16(2):275-84. DOI: 10.1038/oby.2007.35. View

Lien N, Kumar B, Holmboe-Ottesen G, Klepp K, Wandel M . Assessing social differences in overweight among 15- to 16-year-old ethnic Norwegians from Oslo by register data and adolescent self-reported measures of socio-economic status. Int J Obes (Lond). 2006; 31(1):30-8. DOI: 10.1038/sj.ijo.0803415. View

Tamayo T, Christian H, Rathmann W . Impact of early psychosocial factors (childhood socioeconomic factors and adversities) on future risk of type 2 diabetes, metabolic disturbances and obesity: a systematic review. BMC Public Health. 2010; 10:525. PMC: 2940917. DOI: 10.1186/1471-2458-10-525. View

10.

Lien N, Friestad C, Klepp K . Adolescents' proxy reports of parents' socioeconomic status: How valid are they?. J Epidemiol Community Health. 2001; 55(10):731-7. PMC: 1731778. DOI: 10.1136/jech.55.10.731. View

11.

Bjelland M, Lien N, Bergh I, Grydeland M, Anderssen S, Klepp K . Overweight and waist circumference among Norwegian 11-year-olds and associations with reported parental overweight and waist circumference: The HEIA study. Scand J Public Health. 2010; 38(5 Suppl):19-27. DOI: 10.1177/1403494810385036. View

12.

Brisbois T, Farmer A, McCargar L . Early markers of adult obesity: a review. Obes Rev. 2011; 13(4):347-67. PMC: 3531624. DOI: 10.1111/j.1467-789X.2011.00965.x. View

13.

Bjornelv S, Lydersen S, Holmen J, Nilsen T, Holmen T . Sex differences in time trends for overweight and obesity in adolescents: the Young-HUNT study. Scand J Public Health. 2009; 37(8):881-9. DOI: 10.1177/1403494809347022. View

14.

Berghofer A, Pischon T, Reinhold T, Apovian C, Sharma A, Willich S . Obesity prevalence from a European perspective: a systematic review. BMC Public Health. 2008; 8:200. PMC: 2441615. DOI: 10.1186/1471-2458-8-200. View

15.

Wei Y, Pere A, Koenker R, He X . Quantile regression methods for reference growth charts. Stat Med. 2005; 25(8):1369-82. DOI: 10.1002/sim.2271. View

16.

Flood V, Webb K, Lazarus R, Pang G . Use of self-report to monitor overweight and obesity in populations: some issues for consideration. Aust N Z J Public Health. 2000; 24(1):96-9. DOI: 10.1111/j.1467-842x.2000.tb00733.x. View

17.

Mitchell J, Pate R, Espana-Romero V, ONeill J, Dowda M, Nader P . Moderate-to-vigorous physical activity is associated with decreases in body mass index from ages 9 to 15 years. Obesity (Silver Spring). 2013; 21(3):E280-93. DOI: 10.1002/oby.20118. View

18.

Power C, Lake J, Cole T . Measurement and long-term health risks of child and adolescent fatness. Int J Obes Relat Metab Disord. 1997; 21(7):507-26. DOI: 10.1038/sj.ijo.0800454. View

19.

Ball K, Crawford D . Socioeconomic status and weight change in adults: a review. Soc Sci Med. 2005; 60(9):1987-2010. DOI: 10.1016/j.socscimed.2004.08.056. View

20.

Galobardes B, Davey Smith G, Lynch J . Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol. 2005; 16(2):91-104. DOI: 10.1016/j.annepidem.2005.06.053. View