估计2000年、2006年和2012年南非由于身体活动水平低而导致的疾病负担的变化。

IF 1.2
I Neethling, E V Lambert, A Cois, R A Roomaney, O F Awotiwon, R Pacella, D Bradshaw, V Pillay-van Wyk
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引用次数: 3

摘要

背景:体育活动与心血管疾病、某些癌症和糖尿病的风险降低有关。先前的南非比较风险评估(SACRA1)研究评估了2000年身体活动不足的可归因于负担,但需要更新的估计数据,以及对长期趋势的评估。目的:按年龄、年份和性别估计南非2000年、2006年和2012年身体活动不足导致的疾病负担。方法:采用比较风险评价方法。身体活动被视为一个分类变量,分为四类,即不活动、活跃、非常活跃和高度活跃。代表三个不同年份的身体活动水平的患病率估计值来自两项全国性调查。根据GBD 2016研究,使用体力活动估算值以及全球疾病、损伤和风险因素负担(GBD 2016)研究的相对风险来计算由于不活动、活跃和非常活跃的体力活动水平相对于被认为是理论最小风险暴露(> 8000代谢当量时间(MET)-min/wk)的高度活跃水平而导致的人口可归因于部分。这些应用于来自第二次国家疾病负担研究的相关疾病结果,以计算归因死亡、生命损失年数、残疾生活年数和残疾调整生命年(DALYs)。采用蒙特卡罗模拟进行不确定性分析。结论:低体力活动是造成SA疾病负担的主要原因。虽然由于身体活动不足导致的可归因死亡ASR下降令人鼓舞,但这一负担可能会进一步降低,特别是身体活动不足的总体流行率会进一步降低。令人关切的是,可归因于糖尿病的负担正在增加,这表明需要更好地执行现有的非传染性疾病政策,对身体活动进行持续监测,并需要采取以人口和社区为基础的干预措施,以实现既定目标。
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 low levels of physical activity in South Africa for 2000, 2006 and 2012.

Background: Physical activity is associated with a lower risk of cardiovascular outcomes, certain cancers and diabetes. The previous South African Comparative Risk Assessment (SACRA1) study assessed the attributable burden of low physical activity for 2000, but updated estimates are required, as well as an assessment of trends over time.

Objective: To estimate the national prevalence of physical activity by age, year and sex and to quantify the burden of disease attributable to low physical activity in South Africa (SA) for 2000, 2006 and 2012.

Methods: Comparative risk assessment methodology was used. Physical activity was treated as a categorical variable with four categories, i.e. inactive, active, very active and highly active. Prevalence estimates of physical activity levels, representing the three different years, were derived from two national surveys. Physical activity estimates together with the relative risks from the Global Burden of Disease, Injuries, and Risk Factors (GBD) 2016 study were used to calculate population attributable fractions due to inactive, active and very active levels of physical activity relative to highly active levels considered to be the theoretical minimum risk exposure (>8 000 metabolic equivalent of time (MET)-min/wk), in accordance with the GBD 2016 study. These were applied to relevant disease outcomes sourced from the Second National Burden of Disease Study to calculate attributable deaths, years of life lost, years lived with disability and disability adjusted life years (DALYs). Uncertainty analysis was performed using Monte Carlo simulation.

Results: The prevalence of physical inactivity (<600 METS) decreased by 16% and 8% between 2000 and 2012 for females and males, respectively. Attributable DALYs due to low physical activity increased between 2000 (n=194 284) and 2006 (n=238 475), but decreased thereafter in 2012 (n=219 851). The attributable death age-standardised rates (ASRs) declined between 2000 and 2012 from 60/100 000 population in 2000 to 54/100 000 population in 2012. Diabetes mellitus type 2 displaced ischaemic heart disease as the largest contributor to attributable deaths, increasing from 31% in 2000 to 42% in 2012.

Conclusions: Low physical activity is responsible for a large portion of disease burden in SA. While the decreased attributable death ASR due to low physical activity is encouraging, this burden may be lowered further with an additional reduction in the overall prevalence of physical inactivity, in particular. It is concerning that the attributable burden for diabetes mellitus is growing, which suggests that existing non-communicable disease policies need better implementation, with ongoing surveillance of physical activity, and population- and community-based interventions are required in order to reach set targets.

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