Association Between Lipid Biomarkers, Physical Activity, and Socioeconomic Status in a Population-Based Cross-Sectional Study in the UK
Association Between Lipid Biomarkers, Physical Activity, and Socioeconomic Status in a Population-Based Cross-Sectional Study in the UK
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DOI：
10.1186/s40798-016-0049-9
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发表时间：
2016-01-01
影响因子：
4.6
通讯作者：
Antwi, Kofi
中科院分区：
文献类型：
--
作者：
Brown, Heather;Becker, Frauke;Antwi, Kofi
背景：心血管疾病（CVD）是全球死亡的主要原因。体力活动可以帮助个人降低心血管疾病风险。然而，解释体力活动与 CVD 风险之间的联系以及它们如何通过社会经济地位介导的生物学机制尚不清楚。方法：我们使用英国理解社会调查 2010/2011 年的横截面数据，研究 CVD 风险的两种生物标志物之间的关联：胆固醇比率和甘油三酯水平以及四种不同的体力活动指标：中度、轻度、自我报告的活动评级以及使用多元逻辑分析每周步行 30 分钟或以上。回归。该分析调查了这种关联是否是由社会经济地位和进入体育设施困难所介导的。结果：多变量回归结果表明，中等和自我报告的活动评级与男性和女性的胆固醇比率和甘油三酯显着相关。每周步行 30 分钟或以上的关联性较弱。轻度体力活动与这两种生物标志物之间没有发现关联。有一些证据表明，社会经济地位调节生物标志物和身体活动之间的关系。仅在女性中发现社会经济地位变量与生物标志物之间存在显着关联。结论：我们通过发现与传统脂质生物标志物的关联，提供了解释 CVD 风险与体力活动之间联系的机制的一些证据。我们还发现体力活动的强度很重要。社会经济地位尤其对女性来说很重要，这可能解释了心血管疾病风险的一些不平等。
Background: Cardiovascular disease (CVD) is the leading cause of global death. Physical activity can help individuals reduce their CVD risk. However, the biological mechanisms explaining the link between physical activity and CVD risk and how they may be mediated by socioeconomic status are not well understood.Methods: We use cross-sectional data from 2010/2011 of the Understanding Society Survey, UK, to investigate the association between two biomarkers for CVD risk: cholesterol ratio and triglyceride levels and four different measures of physical activity: moderate, mild, self-reported activity rating, and walking 30 min or more a week using multivariate logistic regression. The analysis investigates if this association is mediated by socioeconomic status and difficulty accessing sports facilities.Results: Results from multivariate regressions show that moderate and self-reported activity rating are significantly associated with cholesterol ratio and triglycerides for both men and women. A weaker association was found for walking 30 min or more a week. No association was found between mild physical activity and the two biomarkers. There is some evidence that socioeconomic status mediates the relationship between the biomarkers and physical activity. A significant association between socioeconomic status variables and the biomarkers was found only for women.Conclusions: We provide some evidence of the mechanisms explaining the link between CVD risk and physical activity by finding an association with traditional lipid biomarkers. We also find that intensity of physical activity matters. Socioeconomic status especially for women is important which may explain some of the inequalities in CVD risk.