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全球超重和肥胖的流行模式:年龄-时期-队列分析

Prevalence patterns of overweight and obesity in the world: An age-period-cohort analysis.

作者信息

Kabir Ali, Karimi Behnagh Arman

机构信息

Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.

Artificial Intelligence in Health Research Center, Iran University of Medical Sciences, Tehran, Iran.

出版信息

PLoS One. 2025 Jun 18;20(6):e0324733. doi: 10.1371/journal.pone.0324733. eCollection 2025.

Abstract

PURPOSE

This study aimed to evaluate the trends of obesity and overweight among adolescents using the age-period-cohort (APC) analysis.

METHODS

Data for this study was provided by Institute for Health Metrics and Evaluation. Our data represents the cumulative prevalence trend of obesity and overweight in 195 countries between 1980 and 2015 in 5-year intervals. The age intervals were also considered to be 5 years. Besides, a subgroup analysis based on sex and socio-demographic-index subgroups were performed. To perform APC analysis, R program software was used.

RESULTS

We observed an increasing trend in both obesity and overweight throughout the study period, with the trend accelerating in more recent periods. Among the fitted models, we concluded that the APC model best fit the current data. The trend for both outcomes was similar. Among the three parameters, age showed an inverted U-shaped effect on the trend of both outcomes in all subgroups. However, the effect of period and cohort differed in our subgroup analysis.

CONCLUSION

Overall, this study shows that obesity and overweight are on the rise. Both phenomena were influenced by the age effect in a similar pattern. However, the period and cohort effects showed variation in our subgroup analyses based on sex and SDI subgroups, suggesting the need for country-level studies to better understand the possible impact of these two factors on the prevalence of obesity and overweight.

摘要

目的

本研究旨在运用年龄-时期-队列(APC)分析评估青少年肥胖和超重的趋势。

方法

本研究的数据由健康指标与评估研究所提供。我们的数据代表了1980年至2015年期间195个国家每隔5年的肥胖和超重累积患病率趋势。年龄区间也设定为5年。此外,还进行了基于性别和社会人口学指数亚组的亚组分析。为进行APC分析,使用了R程序软件。

结果

在整个研究期间,我们观察到肥胖和超重均呈上升趋势,且在最近阶段趋势加速。在拟合模型中,我们得出APC模型最适合当前数据的结论。两种结果的趋势相似。在三个参数中,年龄对所有亚组中两种结果的趋势均呈现倒U形影响。然而,在我们的亚组分析中,时期和队列的影响有所不同。

结论

总体而言,本研究表明肥胖和超重呈上升趋势。这两种现象受年龄效应的影响模式相似。然而,在基于性别和社会人口学指数亚组的亚组分析中,时期和队列效应存在差异,这表明需要开展国家级研究以更好地了解这两个因素对肥胖和超重患病率可能产生的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c0/12176128/96af38494dad/pone.0324733.g001.jpg

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