Literature DB >> 19534904

[Familial clustering of obesity and the role of lifestyle factors among children in Beijing].

Bo Xi1, Jie Mi, Jia-li Duan, Shu-juan Yan, Hong Cheng, Dong-qing Hou, Xiao-yuan Zhao.   

Abstract

OBJECTIVE: To investigate the correlation between lifestyle factors, parental obesity and adiposity in children, in order to provide theoretical evidence for public health policy establishment.
METHODS: A cross-sectional observation study was conducted among approximately 20 thousand children aged 2 - 18 years old in urban and rural regions of Beijing, by using stratified randomization clustering sampling methods. Familial environmental risk factors of children adiposity and parental obesity were assessed with standardized questionnaire. Anthropometric measurements, including height and weight, were conducted. SPSS 13.0 software was applied to analyze the data, including general description, chi(2) trend test and non-condition logistic analyse.
RESULTS: With IOTF obesity references, the prevalence of obesity in 21,198 children aged 2 - 18 years old was 5.6%. The behavioral characters (for example, smoking and drinking) and children obesity showed significant familial aggregation. In groups including "both parents not smoke", "only one parent smoke" and "both parents smoke", the smoking rates of offsprings were 1.50%, 2.93% and 6.01%, respectively (chi(trend)(2) = 107.009, P < 0.01). A similar pattern was found for offsprings' alcohol consumption rates (5.85%, 9.12% and 13.96%; chi(trend)(2) = 107.009, P < 0.01). Based on parents' BMI status, in groups including "both parents had normal weight", "father was obese", "mother was obese" and "both parents were obese", the prevalence of obesity in children were 3.29%, 11.48%, 9.12% and 27.01%, respectively (chi(trend)(2) = 293.404, P < 0.01). After controlling for sex and ages, factors such as physical exercises, sleeping times per day, fat intakes, watching TV, drinking alcohol were impact factors of children obesity. After controlling of confounding factors, such as children gender, age, birth weight, puberty, smoking history, drinking history, fat intakes, soft drink, physical exercises, education experiences of parents, smoking history, drinking history, family income and so on, maternal obesity had a greater influence on daughters than on sons (OR = 5.93, 95% CI: 3.57 - 9.84), and paternal obesity showed similar influence on sons (OR = 4.29, 95% CI: 3.21 - 5.72). Comparing to parents with normal weight, obese parents had more powerful impact on daughters (OR = 28.51, 95% CI: 15.13 - 53.72) than on sons (OR = 7.21, 95% CI: 4.07 - 12.75), regarding to 2 - 5 years group and 10 - 12 years group versus other age group (OR = 18.67, 95% CI: 1.49 - 234.46; OR = 22.25, 95% CI: 10.62 - 46.59).
CONCLUSION: Parental obesity is an independent risk factor of adiposity in children; gender and age affect this association. The lifestyle patterns of parents should have great impact on children. When prevention or intervention with children obesity, familial environmental factors should be emphasized.

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Mesh:

Year:  2009        PMID: 19534904

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


  4 in total

1.  Familial clustering of overweight and obesity among schoolchildren in northern China.

Authors:  Zengning Li; Bin Luo; Limei Du; Huanyu Hu; Ying Xie
Journal:  Int J Clin Exp Med       Date:  2014-12-15

2.  Association between Obesity and Parental Weight Status in Children and Adolescents.

Authors:  Maryam Bahreynian; Mostafa Qorbani; Bita Moradi Khaniabadi; Mohammad Esmaeil Motlagh; Omid Safari; Hamid Asayesh; Roya Kelishadi
Journal:  J Clin Res Pediatr Endocrinol       Date:  2016-12-23

3.  Development and Validation of a Self-Determination Theory-Based Measure of Motivation to Exercise and Diet in Children.

Authors:  Giada Pietrabissa; Alessandro Rossi; Maria Borrello; Gian Mauro Manzoni; Stefania Mannarini; Gianluca Castelnuovo; Enrico Molinari
Journal:  Front Psychol       Date:  2020-06-30

4.  Parent-child resemblance in weight status and its correlates in the United States.

Authors:  Yinghui Liu; Hsin-Jen Chen; Lan Liang; Youfa Wang
Journal:  PLoS One       Date:  2013-06-10       Impact factor: 3.240

  4 in total

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