10个东南亚国家因COVID-19导致的高死亡率、疫苗全面覆盖、吸烟、高血压和人均国内生产总值/购买力平价之间的关联

IF 1.5 Q4 INFECTIOUS DISEASES

IJID regions Pub Date : 2025-01-16 DOI:10.1016/j.ijregi.2025.100570

Mu'syadzwinna Binti Midon , Nlandu Roger Ngatu , Kanae Kanda , Tomohiro Hirao , Nobuyuki Miyatake , Kenji Wada , Akira Nishiyama

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引用次数: 0

摘要

目的报道大规模疫苗接种和心脏代谢紊乱对COVID-19预后和死亡负担的影响。我们应用广义线性混合模型（GLMM）来探索东南亚（SEAR） COVID-19死亡率、完全疫苗接种覆盖率和心脏代谢健康指标之间的关系。方法对10个东南亚国家（2020年1月至2022年12月）的COVID-19汇总数据进行全区域生态分析。使用的数据库来自约翰霍普金斯大学冠状病毒资源中心和世卫组织。每10万人中与COVID-19相关的额外死亡人数和病死率是结果变量。采用GLMM来确定COVID-19死亡率的预测因子，并对社会人口学变量进行调整。统计学显著性水平P <；0.01（双面）。结果调整后的GLMM分析显示，每10万人中因COVID-19导致的额外死亡人数与年龄标准化吸烟（决定系数[coeff]）呈强正相关。= 9.18[标准误差（SE）： 2.15]；P <0.001)和高血压患病率(coeff；= 25.98 [se: 9.15]；P <0.01)，而与完全疫苗接种率呈强烈负相关（P < 0.05）。=−5.23 [se: 1.54]；P <0.01)和人均国内生产总值/购买力平价(coff；=−102.01 [se: 18.31]；P & lt; 0.001)。COVID-19病死率与年龄标准化高血压患病率呈正相关（coeff）。= 0.30 [se: 0.16]；P <0.01)，并与完全疫苗接种率负相关(coff；=−0.05 [se: 0.01]；P <0.01)和人均国内生产总值/购买力平价(coff；=−1.09 (se: 0.34)；术中,0.001)。在多变量分析中观察到的关联在四分位数分层分析中仍然存在。研究结果表明，实施有效的公共卫生干预措施，一方面可以增加疫苗的吸收率并改善心脏代谢健康，另一方面可以提高国家层面的经济，这将降低东南亚地区的COVID-19死亡率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Association between excess mortality due to COVID-19, full vaccination coverage, smoking, hypertension, and gross domestic product per capita/purchasing power parity across 10 Southeast Asian Countries

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Objectives

Mass vaccination and cardiometabolic disorders have been reported to influence COVID-19 prognosis and mortality burden. We applied a generalized linear mixed model (GLMM) to explore the associations between COVID-19 mortality, full vaccination coverage, and cardiometabolic health indicators in Southeast Asia (SEAR).

Methods

A region-wide ecological analysis of aggregate COVID-19 data from 10 SEAR countries (January 2020 to December 2022) was performed. The databases used were from the John Hopkins University Coronavirus Resource Center and the WHO Health Organization. Excess deaths associated with COVID-19 per 100,000 and case fatality rate were the outcome variables. A GLMM was performed to determine the predictors of COVID-19 mortality, and adjustments were made for sociodemographic variables. The statistical significance level was set at P <0.01 (double-sided).

Results

The adjusted GLMM analysis showed that the number of excess deaths due to COVID-19 per 100,000 was strongly and positively associated with age-standardized smoking (coefficient of determination [coeff.] = 9.18 [standard error (SE): 2.15]; P <0.001) and hypertension prevalence (coeff. = 25.98 [SE: 9.15]; P <0.01), whereas it was strongly and negatively associated with the full vaccination coverage rate (coeff. = −5.23 [SE: 1.54]; P <0.01) and gross domestic product per capita/purchasing power parity (coeff. = −102.01 [SE: 18.31]; P <0.001). The COVID-19 case fatality rate was positively associated with the age-standardized prevalence of hypertension (coeff. = 0.30 [SE: 0.16]; P <0.01) and negatively correlated with the full vaccination coverage rate (coeff. = −0.05 [SE: 0.01]; P <0.01) and gross domestic product per capita/purchasing power parity (coeff. = −1.09 (SE: 0.34); p<0.001). The associations observed in the multivariate analysis remained in the stratified analysis by quartile.

Conclusions

The study findings suggest that implementing effective public health interventions that would have increased vaccine uptake and improve cardiometabolic health on one hand and initiatives that enhance country-level economy on the other hand would have reduced COVID-19 mortality in the SEAR.

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来源期刊

IJID regions Infectious Diseases

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

64 days