van der Ham Mirte, Bolijn Renee, de Vries Alcira, Campos Ponce Maiza, van Valkengoed Irene G M
Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
BMJ Open. 2021 Apr 24;11(4):e047388. doi: 10.1136/bmjopen-2020-047388.
Many low-income and middle-income countries (LMIC) suffer from a double burden of infectious diseases (ID) and non-communicable diseases (NCD). Previous research suggests that a high rate of gender inequality is associated with a higher ID and NCD burden in LMIC, but it is unknown whether gender inequality is also associated with a double burden of disease. In this ecological study, we explored the association between gender inequality and the double burden of disease in LMIC.
For 108 LMIC, we retrieved the Gender Inequality Index (GII, scale 0-1) and calculated the double burden of disease, based on disability-adjusted life-years for a selection of relevant ID and NCD, using WHO data. We performed logistic regression analysis to study the association between gender inequality and the double burden of disease for the total population, and stratified for men and women. We adjusted for income, political stability, type of labour, urbanisation, government health expenditure, health infrastructure and unemployment. Additionally, we conducted linear regression models for the ID and NCD separately.
The GII ranged from 0.13 to 0.83. A total of 37 LMIC had a double burden of disease. Overall, the adjusted OR for double burden of disease was 1.05 per 0.01 increase of GII (95% CI 0.99 to 1.10, p=0.10). For women, there was a borderline significant positive association between gender inequality and double burden of disease (OR 1.05, 95% CI 1.00 to 1.11, p=0.06), while there was no association in men (OR 0.99, 95% CI 0.95 to 1.04, p=0.75).
We found patterns directing towards a positive association between gender inequality and double burden of disease, overall and in women. This finding suggests the need for more attention for structural factors underlying gender inequality to potentially reduce the double burden of disease.
许多低收入和中等收入国家(LMIC)面临着传染病(ID)和非传染性疾病(NCD)的双重负担。先前的研究表明,高性别不平等率与低收入和中等收入国家较高的传染病和非传染性疾病负担相关,但性别不平等是否也与疾病双重负担相关尚不清楚。在这项生态研究中,我们探讨了低收入和中等收入国家性别不平等与疾病双重负担之间的关联。
对于108个低收入和中等收入国家,我们检索了性别不平等指数(GII,范围0 - 1),并根据世界卫生组织的数据,基于一系列相关传染病和非传染性疾病的残疾调整生命年计算疾病双重负担。我们进行了逻辑回归分析,以研究性别不平等与总人口疾病双重负担之间的关联,并按男性和女性分层。我们对收入、政治稳定性、劳动力类型、城市化、政府卫生支出、卫生基础设施和失业率进行了调整。此外,我们分别对传染病和非传染性疾病进行了线性回归模型分析。
性别不平等指数范围为0.13至0.83。共有37个低收入和中等收入国家存在疾病双重负担。总体而言,疾病双重负担的调整后比值比为每性别不平等指数增加0.01时为1.05(95%置信区间0.99至1.10,p = 0.10)。对于女性,性别不平等与疾病双重负担之间存在临界显著的正相关(比值比1.05,95%置信区间1.00至1.11,p = 0.06),而男性中不存在关联(比值比0.99,95%置信区间0.95至1.04,p = 0.75)。
我们发现总体上以及在女性中,性别不平等与疾病双重负担之间存在正相关的模式。这一发现表明需要更多关注性别不平等背后的结构因素,以潜在地减轻疾病双重负担。