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首页> 外文期刊>European journal of epidemiology >Adiposity has a greater impact on hypertension in lean than not-lean populations: A systematic review and meta-analysis
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Adiposity has a greater impact on hypertension in lean than not-lean populations: A systematic review and meta-analysis

机译:肥胖对肥胖人群的高血压影响大于不肥胖人群:系统评价和荟萃分析

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More than 75 % of people with hypertension live in low-to-middle income countries (LMICs). Based on the mismatch theory of developmental origins of disease, we hypothesised that the impact of adiposity on hypertension is augmented in lean compared with not-lean populations in rural areas of LMICs (RLMICs). We reviewed studies from RLMICs in which the association between body mass index (BMI) or waist circumference (WC) and hypertension was assessed using multivariable models. Applying random effect models, we conducted separate meta-analyses, depending on whether BMI/WC was assessed as a continuous or categorical variable. In each analysis, the studies were ranked by the mean BMI of the total population. Those populations with a mean BMI below the median were categorised as lean and those above the median as not-lean. We identified 46 studies of BMI and 12 of WC. The risk of hypertension was greater in lean than in not-lean populations. Obese males in lean populations were 45 % more likely to be hypertensive compared to obese males in not-lean populations, ratio of the two effect sizes: 1.45 (95 % CI 1.04, 2.03), p = 0.027. Also, individuals with WC above normal in lean populations were 52 % more likely to be hypertensive than their counterparts in not-lean populations, ratio of the two effect sizes: 1.52 (95 % CI 1.06, 2.17), p = 0.021. We conclude that the risk of hypertension associated with adiposity is greater in lean than in not-lean populations. This provides further evidence for the mismatch theory and highlights the need for strategies to improve nutrition in disadvantaged RLMICs.
机译:超过75%的高血压患者生活在中低收入国家(LMIC)。基于疾病发展起源的不匹配理论,我们假设与中低收入国家(RLMIC)农村地区的非肥胖人群相比,肥胖对肥胖人群的高血压影响更大。我们回顾了来自RLMIC的研究,其中使用多变量模型评估了体重指数(BMI)或腰围(WC)与高血压之间的关联。应用随机效应模型,我们根据BMI / WC被评估为连续变量还是分类变量进行了单独的荟萃分析。在每个分析中,均按总人群的平均BMI对研究进行排名。那些平均BMI低于中位数的人群被归类为精益人群,而高于中位数的人群则被归为非精益人群。我们确定了46项BMI研究和12项WC研究。瘦人群比非瘦人群的高血压风险更高。与非肥胖人群中的肥胖男性相比,肥胖人群中的男性肥胖者患高血压的可能性高45%,这两种效应大小之比为1.45(95%CI 1.04,2.03),p = 0.027。同样,在瘦人群中WC高于正常水平的人比非瘦人群中的高血压患病的可能性高52%,这是两种影响大小的比率:1.52(95%CI 1.06,2.17),p = 0.021。我们得出的结论是,与非肥胖人群相比,肥胖人群中与肥胖相关的高血压风险更高。这为错配理论提供了进一步的证据,并强调了需要采取策略改善弱势RLMIC的营养的需求。

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