BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa.
BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa.
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DOI：
10.1002/oby.23005
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Siedner MJ
中科院分区：
文献类型：
--
作者：
Manne-Goehler J;Baisley K;Vandormael A;Bärnighausen T;Tanser F;Herbst K;Pillay D;Siedner MJ
我们评估南非BMI、全因死亡率和特定原因死亡率之间的关系。我们分析了来自南非农村的前瞻性、基于人群的观察性队列数据。BMI是在2010年测量的。记录人口统计学特征，并通过死因推断访谈核实死亡。使用InterVA-5工具确定死亡原因。每年进行艾滋病毒检测。考克斯比例风险模型被用来估计BMI对全因死亡率和死因特异性死亡率的影响，并考虑了其他原因死亡的竞争风险。根据社会人口学特征和艾滋病病毒感染状况调整模型，并对不参与调查的情况使用逆概率加权。我们的队列由9，728人组成。在校正模型中，与BMI为18.5 - 24.9 kg/m2的受试者相比，BMI为25.0 - 29.9 kg/m2或30.0 - 34.9 kg/m2的受试者的死亡风险较低（分别为aHR：0.80; 95% CI：0.69 - 0.92和aHR：0.75; 95% CI：0.60 - 0.93）。在南非，符合临床定义的超重或肥胖标准的个体的全因死亡率低于BMI正常的个体。这些发现对妇女和传染性疾病更有说服力。
We evaluate the association between BMI, all-cause and cause-specific mortality in South Africa. We analysed prospective, population-based observational cohort data from rural South Africa. BMI was measured in 2010. Demographic characteristics were recorded and deaths were verified with verbal autopsy interview. The InterVA-5 tool was used to assign causes of death. HIV testing was conducted annually. Cox proportional hazards models were fit to estimate the effect of BMI on all-cause and cause-specific mortality, accounting for the competing risk of death from other causes. Models were adjusted for sociodemographic characteristics and HIV status and we used inverse probability weighting for survey non-participation. Our cohort consisted of 9,728 individuals. In adjusted models, those with a BMI of 25.0 – 29.9 kg/m2 or 30.0 – 34.9 kg/m2 had a lower hazard of death (aHR: 0.80; 95% CI: 0.69 – 0.92 and aHR: 0.75; 95% CI: 0.60 – 0.93, respectively), compared to those with a BMI of 18.5 – 24.9 kg/m2. Individuals in South Africa who meet clinically-defined criteria for overweight or obesity had a lower risk of all-cause mortality than those of normal BMI. These findings were stronger for women and communicable conditions.
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DOI：
10.1016/s0140-6736(16)00618-8
发表时间：
2016-04-09
期刊：
Lancet (London, England)
影响因子：
--
作者：
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通讯作者：
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影响因子：
3.5
作者：
Filmer, D;Pritchett, LH
通讯作者：
Pritchett, LH
影响因子：
7.2
作者：
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通讯作者：
Tollman, Stephen M.
DOI：
10.1016/s2214-109x(18)30267-5
发表时间：
2018-07
期刊：
The Lancet. Global health
影响因子：
--
作者：
Gajalakshmi V;Lacey B;Kanimozhi V;Sherliker P;Peto R;Lewington S
通讯作者：
Lewington S
影响因子：
7.7
作者：
Vandormael A;Dobra A;Bärnighausen T;de Oliveira T;Tanser F
通讯作者：
Tanser F