OP81 Does active commuting protect against obesity in mid-life? evidence from UK Biobank
OP81 Does active commuting protect against obesity in mid-life? evidence from UK Biobank
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OP81 积极的通勤可以预防中年肥胖吗？
DOI：
10.1136/jech-2015-206256.80
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发表时间：
2015
影响因子：
6.3
通讯作者：
Flint E
中科院分区：
文献类型：
--
作者：
Flint E
在西方环境中，主动通勤（AC）已被推广为解决久坐不动的生活方式对人群健康影响的一种方式。本研究使用英国生物银行客观测量的人体测量数据，探讨了中年AC和肥胖之间的关系-这是CVD风险的关键生命阶段。目的是测试AC和肥胖的标志物之间的关联，并调查混杂和相互作用effects.MethodsBaseline（2006-2010）从英国生物银行的数据（n = 502，664，其中264，341减刑）。自我报告的通勤模式被操作为7类变量，以反映典型的体力消耗水平：仅汽车;汽车和公共交通;仅公共交通;汽车和混合;公共交通和骑自行车或步行;步行;仅骑自行车。结果是客观测量BMI和体脂百分比（连续）。确定了假设的混杂因素。嵌套的，性别分层的多元线性回归模型估计每个结果。潜在的相互作用与种族和邻里剥夺（汤森评分，五分位数）进行了调查。最终完成的情况下样本量为68,484男性，79,168女性的BMI分析，67,790男性，78,351女性的百分比bodyfatanalysis.ResultsAC是显着和独立预测较低的BMI和体脂百分比的男性和女性，与分级的“剂量反应”模式明显的7个有序模式类别。对混杂因素（社会经济、环境、人口、健康、行为）的调整并没有削弱核心关系。AC和剥夺五分位数之间存在显着的相互作用，但没有发现种族之间的相互作用。在完全调整后的模型中，与开车的男性相比，男性公共交通通勤者的BMI低0.6 kg/m2（95% CI -0.72至-0.48）。混合使用公共交通和步行/骑自行车的男性BMI降低0.88 kg/m2（95% CI -1.02至-0.73）。骑自行车的男性BMI降低1.5 kg/m2（95% CI -1.69至-1.36）。在女性中观察到类似的模式和影响程度，并且在两种性别中观察到体脂百分比分析。敏感性分析并没有影响results.ConclusionThis研究是第一次使用英国生物银行的数据，以解决AC和肥胖的主题，AC和健康的体重和成分之间找到强大的，独立的关联。中年是心血管疾病风险的生命过程中的一个关键阶段，这项研究支持AC作为人口层面的政策响应的推广。横断面设计是一个限制，但未来的研究将利用英国生物银行的重复评估子样本，以提高因果推理。
BackgroundActive commuting (AC) has been promoted as a way of addressing the population health effects of sedentary lifestyles in Western settings. This study examines the relationship between AC and obesity in mid-life – a key life-stage for CVD risk – using objectively measured anthropometric data from UK Biobank. Objectives are to test for associations between AC and markers of obesity, and to investigate confounding and interaction effects.MethodsBaseline (2006–2010) data from UK Biobank were used (n = 502,664, of which 264,341 commuted). Self-reported commuting mode was operationalised as a 7 category variable, ordered to reflect typical levels of physical exertion: car only; car and public transport; public transport only; car and mixed; public transport and cycling or walking; walking only; cycling only. Outcomes were objectively measured BMI and percentage bodyfat (continuous). Hypothesised confounders were identified. Nested, gender-stratified multivariate linear regression models were estimated for each outcome. Potential interactions with ethnicity and neighbourhood deprivation (Townsend score, quintiles) were investigated. Final complete case sample sizes were 68,484 males, 79,168 females for BMI analyses; 67,790 males, 78,351 females for percentage bodyfat analyses.ResultsAC was significantly and independently predictive of lower BMI and percentage bodyfat for both men and women, with a graded ‘dose-response’ pattern apparent across the 7 ordered mode categories. Adjustment for confounders (socioeconomic, environmental, demographic, health, behavioural) did not attenuate the central relationships. A significant interaction was found between AC and deprivation quintiles but no interaction was found for ethnicity. In the fully adjusted model, compared to their car-driving counterparts, male public transport commuters had 0.6 kg/m2lower BMI (95% CI –0.72 to –0.48). Males who mixed public transport with walking/cycling had 0.88 kg/m2lower BMI (95% CI –1.02 to –0.73). Males who cycled had 1.5 kg/m2lower BMI (95% CI –1.69 to –1.36). A similar pattern and magnitude of effects was observed for women, and for percentage bodyfat analyses across both genders. Sensitivity analyses did not affect the results.ConclusionThis study is the first to use UK Biobank data to address the topic of AC and obesity; finding robust, independent associations between AC and healthier body weight and composition. Mid-life is a crucial stage in the lifecourse for CVD risk, and this research supports of the promotion of AC as a population-level policy response. The cross-sectional design is a limitation, but future research will utilise the repeat-assessment subsample of UK Biobank to improve causal inference.