Literature DB >> 17899633

Gender, type of education, family background and overweight in adolescents.

Annemarie Tschumper1, Christof Nägele, Françoise D Alsaker.   

Abstract

OBJECTIVE: To examine gender-specific socio-educational correlations of overweight in adolescents enrolled in post-mandatory education. SUBJECTS AND METHODS: Data were drawn from the Swiss Multicenter Adolescent Survey on Health, a cross-sectional study conducted on a representative sample of 3439 females and 4109 males aged 16 to 20 and enrolled in either vocational education (apprentices) or full time school (students). Adolescents reporting a body mass index (BMI) > 85th percentile for age and gender were compared with those reporting a BMI around the median (25th-75th percentile).
RESULTS: Multivariate logistic regression showed that apprentices of both genders were more likely to report a BMI > or = 85th percentile than students: odds ratio (OR) in females 1.49 (95% confidence interval [CI] 1.11, 1.99), OR in males 1.61 (95%CI 1.19, 2.19). In females, but not in males, reported BMI was associated with parental education level (father with baccalaureate or university degree, OR = 1.00; father with vocational proficiency certificate, OR = 1.48 [95% CI 1.06, 2.07] and father without post-mandatory education, OR =3.44 [95% CI 2.20, 5.38]).
CONCLUSIONS: The observed differences in the correlation of parents' and adolescents' own educational status with overweight suggest that parental and adolescents' own education represent distinct risk factors for overweight. Apprentices' higher risk of being overweight might be of particular interest for prevention, as they represent a large number of adolescents, who enter the adult workforce at a young age. Overall, socio-educational characteristics explained only a small fraction of the variance in overweight, particularly in males.

Mesh:

Year:  2006        PMID: 17899633     DOI: 10.1080/17477160600881767

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  4 in total

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Journal:  J Endocrinol Invest       Date:  2008-11       Impact factor: 4.256

2.  Genetic and environmental contributions to weight, height, and BMI from birth to 19 years of age: an international study of over 12,000 twin pairs.

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Journal:  PLoS One       Date:  2012-02-08       Impact factor: 3.240

3.  Finding big shots: small-area mapping and spatial modelling of obesity among Swiss male conscripts.

Authors:  Radoslaw Panczak; Leonhard Held; André Moser; Philip A Jones; Frank J Rühli; Kaspar Staub
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4.  Socioeconomic, temporal and regional variation in body mass index among 188,537 Swiss male conscripts born between 1986 and 1992.

Authors:  Radoslaw Panczak; Marcel Zwahlen; Ulrich Woitek; Frank J Rühli; Kaspar Staub
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

  4 in total

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