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生活方式行为还是社会经济特征?匈牙利体重指数协变量中的性别差异。

Lifestyle behaviours or socioeconomic characteristics? Gender differences in covariates of BMI in Hungary.

作者信息

Jarosz E

机构信息

Centre for Time Use Research, Department of Sociology University of Oxford (Oxford, United Kingdom) Oxford UK.

出版信息

Obes Sci Pract. 2018 Dec 12;4(6):591-599. doi: 10.1002/osp4.316. eCollection 2018 Dec.

Abstract

OBJECTIVE

Lifestyle behaviours are everyday activities that result from individual's values, knowledge, and norms shaped by broader cultural and socioeconomic context. These behaviours affect body weight as well as overall health and are influenced by a number of social characteristics. The aim of this paper was to examine the net effects of lifestyle behaviours and socioeconomic factors on body mass index (BMI), and how these differed by gender.

METHODS

This study used the 2009/2010 Hungarian Time Use Survey combining behavioural records, background information, and measures of self-reported health and weight. The sample ( = 7765) was representative for the Hungarian population. Multivariate linear OLS regression models were employed to analyse the net effects of lifestyle and sociodemographic variables.

RESULTS

Daily behaviours were associated with BMI for women, but not for men, except for smoking. Meals frequency and duration of sleep had negative effects on female BMI, whereas duration of TV viewing had a positive effect. Occupational class was associated with male BMI, but not with female. The strong negative effect of smoking was significant for both genders.

CONCLUSIONS

Lifestyle behaviours were linked with female BMI, with socioeconomic characteristics impacting on male BMI. These results suggest that a gender-specific approach may be appropriate to address obesity issues in the Hungarian population.

摘要

目的

生活方式行为是由更广泛的文化和社会经济背景塑造的个人价值观、知识和规范所导致的日常活动。这些行为会影响体重以及整体健康,并受到多种社会特征的影响。本文旨在研究生活方式行为和社会经济因素对体重指数(BMI)的净影响,以及这些影响在性别上的差异。

方法

本研究使用了2009/2010年匈牙利时间使用调查,该调查结合了行为记录、背景信息以及自我报告的健康和体重测量数据。样本(n = 7765)代表了匈牙利人口。采用多元线性OLS回归模型来分析生活方式和社会人口学变量的净影响。

结果

除吸烟外,日常行为与女性的BMI相关,但与男性无关。用餐频率和睡眠时间对女性BMI有负面影响,而看电视时间则有正面影响。职业阶层与男性BMI相关,但与女性无关。吸烟的强烈负面影响在两性中均显著。

结论

生活方式行为与女性BMI相关,社会经济特征影响男性BMI。这些结果表明,针对匈牙利人群的肥胖问题,采用针对性别的方法可能是合适的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed40/6298311/9cf2d7ffcab6/OSP4-4-591-g001.jpg

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