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生活方式和社会经济决定因素与糖尿病:来自国家级数据的证据。

Lifestyle and socioeconomic determinants of diabetes: Evidence from country-level data.

机构信息

Department of Chemistry, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

Center for Biotechnology (BTC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

出版信息

PLoS One. 2022 Jul 28;17(7):e0270476. doi: 10.1371/journal.pone.0270476. eCollection 2022.

DOI:10.1371/journal.pone.0270476
PMID:35901054
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9333224/
Abstract

OBJECTIVE

The objectives of the study is to investigate the global socioeconomic risk factors associated with diabetes prevalence using evidence from available country-level data.

DESIGN

A cross-sectional study based on (2010 & 2019) countrywide Health Nutrition and Population Statistics data.

POPULATION

People ages 20-79 who have diabetes.

SETTING

One hundred and thirty-two countries or territories in the world.

PRIMARY OUTCOME MEASURE

Diabetes prevalence rates were determined from (2010 & 2019) countrywide Health Nutrition and Population Statistics (Health Stats, World Bank Group).

RESULTS

In 2010, a 1% increase in per capita income and total tobacco consumption is associated with a 0.92% (95% CI 0.64% to 1.19%) and 0.02% (95% CI 0.006% to 0.047%) increase in diabetes prevalence respectively; and a 1% increase in alcohol consumption is associated with a -0.85% (95% CI -1.17% to -0.53%) decrease in diabetes prevalence. Statistically significant socioeconomic and lifestyle indices positively associated with diabetes prevalence included gross national income; overweight prevalence (BMI>25 kg/m2); and tobacco consumption. Statistically significant inverse associations with global diabetes prevalence included total population size; unemployment and alcohol consumption. The 2019 data was removed due to sparsity of data.

CONCLUSION

Statistically significant global lifestyle and socioeconomic determinants of diabetes prevalence include alcohol consumption; tobacco consumption; overweight prevalence; per capita income; total population and unemployment rates. Determinants of diabetes include modifiable risk factors which are consistent at both the micro and macro level and include tobacco consumption and overweight prevalence. Factors which are non-modifiable and warrant further investigation include total population and unemployment rates, which were inversely associated with diabetes prevalence and are a product of other underlying factors. Other determinants such as alcohol consumption was also inversely associated with diabetes prevalence, but has been observed to have both negative and positive associations with diabetes at the micro-level. These associations were dependent upon the amount of alcohol consumed. Global cut-off point of alcohol consumption is critical to establish global policies to reduce diabetes prevalence. Overall, the use of cross-sectional based study for country level aggregate data is a critical tool that should be considered when making global joint strategies or policies against diabetes in both data analysis and decision making.

摘要

目的

本研究旨在通过现有国家级数据,调查与糖尿病患病率相关的全球社会经济风险因素。

设计

基于(2010 年和 2019 年)全国健康营养与人口统计数据的横断面研究。

人群

年龄在 20-79 岁之间患有糖尿病的人群。

地点

全球 132 个国家或地区。

主要观察指标

糖尿病患病率是根据(2010 年和 2019 年)全国健康营养与人口统计数据(世界银行集团卫生统计)确定的。

结果

2010 年,人均收入增加 1%和总烟草消费增加 1%,分别与糖尿病患病率增加 0.92%(95%CI 0.64%至 1.19%)和 0.02%(95%CI 0.006%至 0.047%)相关;而酒精消费增加 1%与糖尿病患病率降低 0.85%(95%CI-1.17%至-0.53%)相关。与糖尿病患病率呈正相关的显著社会经济和生活方式指数包括国民总收入;超重率(BMI>25kg/m2);和烟草消费。与全球糖尿病患病率呈显著负相关的指标包括总人口规模;失业率和酒精消费。2019 年的数据由于数据稀疏而被删除。

结论

糖尿病患病率的全球生活方式和社会经济决定因素包括酒精消费;烟草消费;超重率;人均收入;总人口和失业率。糖尿病的决定因素包括可改变的危险因素,这些危险因素在微观和宏观层面上都是一致的,包括烟草消费和超重率。不可改变的因素,如总人口和失业率,与糖尿病患病率呈负相关,这是其他潜在因素的产物,需要进一步研究。其他决定因素,如酒精消费,也与糖尿病患病率呈负相关,但在微观层面上,酒精消费与糖尿病的关系既有负面的,也有正面的。这些关联取决于酒精的摄入量。确定全球饮酒量的临界点对于制定减少糖尿病患病率的全球政策至关重要。总的来说,使用基于国家层面的横断面研究来分析国家层面的汇总数据,是在数据分析和决策制定中制定针对糖尿病的全球联合战略或政策时需要考虑的一个重要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/09e541daff6d/pone.0270476.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/bc4ae6ef2b73/pone.0270476.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/df09411d7ae0/pone.0270476.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/09e541daff6d/pone.0270476.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/bc4ae6ef2b73/pone.0270476.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/df09411d7ae0/pone.0270476.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee7/9333224/09e541daff6d/pone.0270476.g003.jpg

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