Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies.
Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies.
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DOI：
10.1136/bmj.m3324
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发表时间：
2020-09-23
期刊：
影响因子：
--
通讯作者：
Shab-Bidar S
中科院分区：
文献类型：
--
作者：
Jayedi A;Soltani S;Zargar MS;Khan TA;Shab-Bidar S
[目的]量化中心性肥胖指标，包括腰围、臀围、大腿围、腰臀比、腰高比、腰腿比、肥胖指数和A体型指数与一般人群全因死亡风险的关系，并阐明剂量-反应关系的形状。系统综述和荟萃分析。PubMed和Scope us从成立到2019年7月，以及所有相关文章和评论的参考清单。前瞻性队列研究报告了至少三类中心性肥胖指数的所有原因死亡的风险估计。报告了对这些关联的持续估计的研究也被包括在内。随机效应剂量-反应荟萃分析用于评估线性趋势估计。剂量-反应曲线的估计采用一阶段线性混合效应荟萃分析。在筛选的98项 745研究中，对1950年的全文进行了全面的资格审查。最终分析包括72项前瞻性队列研究，参与者为2名 528名 297名参与者。综合危险比如下：腰围(10 cm，3.94英寸增加)：1.11(95%可信区间1.08~1.13，I2=88%，n=50)；臀围(10 cm，3.94英寸增加)：0.90(0.81~0.99，I2=95%，n=9)；大腿围(5 cm，1.97英寸增加)：0.82(0.75~0.89，I2=54%，n=3)；腰臀比(增加0.1个单位)：1.20(1.15~1.25，I2=90%，n=31)；腰高比(0.1个单位增加)：1.24(1.12~1.36，I2=94%，n=11)；腰腿比(0.1个单位增加)：1.21(1.03~1.39，I2=97%，n=2)；体脂指数(增加10%)：1.17(1.00~1.33，I2=75%，n=4)；A形体指数(增加0.005个单位)：1.15(1.10~1.2 0，I2=87%，n=9)。在考虑了体重指数之后，积极的联系依然存在。在男性和女性中，腰围和腰围/身高比与所有原因死亡的风险之间发现了近J型的关联。腰臀比和A体型指数呈单调正相关。体脂指数呈U型相关。中心肥胖指数，包括腰围、腰臀比、腰高比、腰腿比、身体肥胖指数和A体型指数，与总体肥胖无关，与更高的全因死亡风险呈显著正相关。较大的臀围和大腿围与较低的风险相关。结果表明，中心性肥胖的测量可以与体重指数一起作为确定过早死亡风险的辅助方法。
To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations. Systematic review and meta-analysis. PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews. Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included. A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves. Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I2=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I2=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I2=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I2=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I2=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I2=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I2=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I2=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index. Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.
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影响因子：
5
作者：
Baik, I;Ascherio, A;Willett, WC
通讯作者：
Willett, WC
DOI：
10.1136/bmj.i2156
发表时间：
2016-05-04
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Aune D;Sen A;Prasad M;Norat T;Janszky I;Tonstad S;Romundstad P;Vatten LJ
通讯作者：
Vatten LJ
影响因子：
3.7
作者：
Warren Andersen S;Shu XO;Gao YT;Zhang X;Cai H;Yang G;Li HL;Xiang YB;Zheng W
通讯作者：
Zheng W
DOI：
10.1038/oby.2004.131
发表时间：
2004-07-01
期刊：
OBESITY RESEARCH
影响因子：
--
作者：
Bigaard, J;Frederiksen, K;Sorensen, TIA
通讯作者：
Sorensen, TIA
DOI：
10.1056/nejmoa1104119
发表时间：
2011-09-08
期刊：
The New England journal of medicine
影响因子：
--
作者：
Boggs DA;Rosenberg L;Cozier YC;Wise LA;Coogan PF;Ruiz-Narvaez EA;Palmer JR
通讯作者：
Palmer JR