估计2000年、2006年和2012年南非归因于高体重指数的疾病负担的变化。

IF 1.2
D Bradshaw, J D Joubert, N Abdelatief, A Cois, E B Turawa, O F Awotiwon, R A Roomaney, I Neethling, R Pacella, V Pillay van-Wyk
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引用次数: 0

摘要

背景:高身体质量指数(BMI)与几种心血管疾病、糖尿病、慢性肾脏疾病、癌症和其他选定的健康状况有关。目的:量化2000年、2006年和2012年南非(SA)年龄≥20岁人群中因高BMI导致的死亡和残疾调整生命年(DALYs)。方法:采用比较风险评价(CRA)方法。对1998年至2017年9项全国调查的BMI均值和标准差进行meta回归,以提供年龄和性别≥20岁成年人的估计值。使用全球疾病负担研究(2017年)确定的相对风险,计算了选定健康结果的人口归因分数,并将其应用于第二次南非国家疾病负担研究的死亡和DALY估计,以在定制的Microsoft Excel工作簿中估计高BMI导致的负担。采用蒙特卡罗模拟建模技术进行不确定性分析。假设BMI服从对数正态分布,假设BMI的理论最小值在20 kg/m2到25 kg/m2之间均匀分布,低于该值则不存在风险。结果:2000年至2012年间,女性的平均BMI从27.7 kg/m2(95%置信区间(CI) 27.6 - 27.9)增加到29.4 kg/m2 (95% CI 29.3 - 29.5),增加了6%;男性的平均BMI从23.9 kg/m2 (95% CI 23.7 - 24.1)增加到24.6 kg/m2 (95% CI 24.5 - 24.8),增加了3%。2012年,高BMI导致58 757例死亡(95%不确定区间(UI) 46 740 - 67 590)或11.1% (95% UI 8.8 - 12.8),以及142万DALYs (95% UI 1.15 - 1.61)或6.9% (95% UI 5.6 - 7.8)导致所有DALYs死亡。在研究期间,女性的负担是男性的1.5 - 1.8倍。2012年,2型糖尿病成为高BMI导致的主要死亡原因(n= 12382例),其次是高血压心脏病(n= 12146例)、出血性中风(n= 9141例)、缺血性心脏病(n= 7499例)和缺血性中风(n= 4044例)。男性每10万人口的年龄标准化可归属伤残津贴比率由2000年的3 777(95%统计数字2 639至4 869)上升至2012年的4 026(95%统计数字2 831至5 115),上升6.6%;而女性则由6 042(95%统计数字5 064至6 702)上升至6 513(95%统计数字5 597至7 033),上升7.8%。结论:2000年至2012年间,平均BMI增加,在总死亡和伤残调整寿命中所占的比例越来越大。有必要制定、实施和评价综合干预措施,以持久改变超重和肥胖的决定因素和影响,特别是在妇女中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the changing burden of disease attributable to high body mass index in South Africa for 2000, 2006 and 2012.

Background: A high body mass index (BMI) is associated with several cardiovascular diseases, diabetes and chronic kidney disease, cancers, and other selected health conditions.

Objectives: To quantify the deaths and disability-adjusted life years (DALYs) attributed to high BMI in persons aged ≥20 years in South Africa (SA) for 2000, 2006 and 2012.

Methods: The comparative risk assessment (CRA) methodology was followed. Meta-regressions of the BMI mean and standard deviation from nine national surveys spanning 1998 - 2017 were conducted to provide estimates by age and sex for adults aged ≥20 years. Population attributable fractions were calculated for selected health outcomes using relative risks identified by the Global Burden of Disease Study (2017), and applied to deaths and DALY estimates from the second South African National Burden of Disease Study to estimate the burden attributed to high BMI in a customised Microsoft Excel workbook. Monte Carlo simulation-modelling techniques were used for the uncertainty analysis. BMI was assumed to follow a log-normal distribution, and the theoretical minimum value of BMI below which no risk was estimated was assumed to follow a uniform distribution from 20 kg/m2 to 25 kg/m2.

Results: Between 2000 and 2012, mean BMI increased by 6% from 27.7 kg/m2 (95% confidence interval (CI) 27.6 - 27.9) to 29.4 kg/m2 (95% CI 29.3 - 29.5) for females, and by 3% from 23.9 kg/m2 (95% CI 23.7 - 24.1) to 24.6 kg/m2 (95% CI 24.5 - 24.8) for males. In 2012, high BMI caused 58 757 deaths (95% uncertainty interval (UI) 46 740 - 67 590) or 11.1% (95% UI 8.8 - 12.8) of all deaths, and 1.42 million DALYs (95% UI 1.15 - 1.61) or 6.9% (95% UI 5.6 - 7.8) of all DALYs. Over the study period, the burden in females was ~1.5 - 1.8 times higher than that in males. Type 2 diabetes mellitus became the leading cause of death attributable to high BMI in 2012 (n=12 382 deaths), followed by hypertensive heart disease (n=12 146), haemorrhagic stroke (n=9 141), ischaemic heart disease (n=7 499) and ischaemic stroke (n=4 044). The age-standardised attributable DALY rate per 100 000 population for males increased by 6.6% from 3 777 (95% UI 2 639 - 4 869) in 2000 to 4 026 (95% UI 2 831 - 5 115) in 2012, while it increased by 7.8% for females from 6 042 (95% UI 5 064 - 6 702) to 6 513 (95% UI 5 597 - 7 033).

Conclusion: Average BMI increased between 2000 and 2012 and accounted for a growing proportion of total deaths and DALYs. There is a need to develop, implement and evaluate comprehensive interventions to achieve lasting change in the determinants and impact of overweight and obesity, particularly among women.

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