OP96 Associations between active commuting behaviours and blood biomarkers for cardiovascular disease: evidence from the uk household longitudinal study
OP96 Associations between active commuting behaviours and blood biomarkers for cardiovascular disease: evidence from the uk household longitudinal study
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OP96 积极通勤行为与心血管疾病血液生物标志物之间的关联：来自英国家庭纵向研究的证据
DOI：
10.1136/jech-2015-206256.95
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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
背景以往的研究表明，积极的通勤显着和独立预测客观测量的体重和成分和自我报告诊断的心血管疾病（CVD）在英国的一般人群。本研究旨在使用英国家庭纵向研究（UKHLS -理解协会）的血液分析物数据进一步阐明AC和CVD风险之间的关系。我们的目标是测试积极通勤和三个血液生物标志物之间的独立关联cVD.MethodsThe UKHLS是一个大型的，纵向的面板研究，每年从40,000个家庭收集数据。从UKHLS和BHPS健康评估子样本（分别为UKHLS波2和波3）中收集的护士数据与相关的主阶段个体访谈数据（n = 13，238）相结合。一个完整的案例分析方法产生了4210分析样本量。积极通勤作为3类变量（私人，公共和积极的交通方式）进行操作。确定了三种CVD相关血液分析物结果：（1）总胆固醇（使用≤5 mmol/l临界点进行二分）;（2）高密度脂蛋白（HDL）胆固醇（在> 1 mmol/l时进行二分）;（3）甘油三酯（在<2 mmol/l时进行二分）。确定了假设的社会经济、行为、健康相关和人口统计学混杂因素。一系列的性别分层嵌套多变量逻辑回归模型拟合每个结果。进行了一系列的敏感性analysis.ResultsCompared他们的私人交通工具使用同行，男性活跃的通勤者是2.8倍更有可能有保护水平的HDL胆固醇（OR 2.97，CI 1.58-4.95，充分调整）。通过活动模式通勤的女性甘油三酯水平升高的可能性显著降低（OR 0.70，95% CI 0.50至0.98，完全校正）。这些关联并没有通过调整假设的混杂因素（包括年龄、一般健康状况、教育程度、职业社会阶层、职业或休闲体力活动和相关药物）而减弱。没有显着的，独立的协会被发现之间的积极通勤和总胆固醇的男性或women.ConclusionThis研究有助于重要的新发现的证据基础上积极通勤和心血管健康，支持政策，以增加功能性体力活动，但表明存在重要的性别差异。血液生物标志物结果的使用在这一研究领域是新颖的，并通过阐明CVD因果链的另一部分，增加了来自先前使用自我报告和人体测量CVD风险结果的研究的证据的权重。本研究的主要局限性是横断面设计。重复UKHLS护士评估将提供纵向数据和重要的潜力，以加强因果关系的推断。
BackgroundPrevious research has demonstrated that active commuting significantly and independently predicts objectively measured body weight and composition and self-reported diagnosed cardiovascular disease (CVD) in the UK general population. This study aims to further illuminate the relationship between AC and CVD-risk using blood analyte data from the UK Household Longitudinal Study (UKHLS –Understanding Society). The objectives are to test for independent associations between active commuting and three blood biomarkers for CVD.MethodsThe UKHLS is a large, longitudinal panel study, collecting data from 40,000 households annually. Nurse-collected data from the UKHLS and BHPS health assessment subsamples (UKHLS waves 2 and 3 respectively) were combined with relevant mainstage individual interview data (n = 13,238). A complete-case analysis approach yielded an analytic sample size of 4210. Active commuting was operationalised as a 3-category variable (private, public and active transportation modes). Three CVD-related blood analyte outcomes were identified: (1) Total cholesterol (dichotomised using ≤5 mmol/l cut-point); (2) High-density lipoprotein (HDL) cholesterol (dichotomised at > 1 mmol/l); (3) triglycerides (dichotomised at <2 mmol/l). Hypothesised socioeconomic, behavioural, health-related and demographic confounders were identified. A series of gender-stratified nested multivariate logistic regression models were fitted for each outcome. A range of sensitivity analyses were undertaken.ResultsCompared to their private transport using counterparts, male active commuters were 2.8 times more likely to have protective levels of HDL cholesterol (OR 2.97, CI 1.58–4.95, fully adjusted). Women who commuted via active modes were significantly less likely to have elevated triglyceride levels (OR 0.70, 95% CI 0.50 to 0.98, fully adjusted). These associations were not attenuated by adjustment for hypothesised confounders including age, general health, educational attainment, occupational social class, occupational or leisure physical activity and relevant medications. No significant, independent association were found between active commuting and total cholesterol for either men or women.ConclusionThis study contributes important new findings to the evidence base on active commuting and cardiovascular health, supporting policies to increase functional physical activity but suggesting that important gender differences exist. The use of blood biomarker outcomes is novel in this research area, and adds weight to evidence from previous studies which have used self-reported and anthropometric CVD risk outcomes, by illuminating a further section of the CVD causal chain. The main limitation of this study is the cross-sectional design. A repeat of the UKHLS nurse assessment would provide longitudinal data and important potential to strengthen causal inference.