Armstrong Dzomba, Carren Ginsburg, Chodziwadziwa W Kabudula, Rachel R Yorlets, Pedzisai Ndagurwa, Sadson Harawa, Mark N Lurie, Stephen T McGarvey, Stephen Tollman, Mark A Collinson, Michael J White, Francesc X Gomez-Olive
{"title":"南非农村社区健康转型中的慢性多病和临时迁移的流行病学:基于人口的横断面分析","authors":"Armstrong Dzomba, Carren Ginsburg, Chodziwadziwa W Kabudula, Rachel R Yorlets, Pedzisai Ndagurwa, Sadson Harawa, Mark N Lurie, Stephen T McGarvey, Stephen Tollman, Mark A Collinson, Michael J White, Francesc X Gomez-Olive","doi":"10.3389/fepid.2023.1054108","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>In sub-Saharan African settings, the increasing non-communicable disease mortality is linked to migration, which disproportionately exposes sub-populations to risk factors for co-occurring HIV and NCDs.</p><p><strong>Methods: </strong>We examined the prevalence, patterns, and factors associated with two or more concurrent diagnoses of chronic diseases (i.e., multimorbidity) among temporary within-country migrants. Employing a cross-sectional design, our study sample comprised 2144 residents and non-residents 18-40 years interviewed and with measured biomarkers in 2018 in Wave 1 of the Migrant Health Follow-up Study (MHFUS), drawn from the Agincourt Health and Demographic Surveillance System (AHDSS) in rural north-eastern South Africa. We used modified Poisson regression models to estimate the association between migration status and prevalent chronic multimorbidity conditional on age, sex, education, and healthcare utilisation.</p><p><strong>Results: </strong>Overall, 301 participants (14%; 95% CI 12.6-15.6), median age 31 years had chronic multimorbidity. Multimorbidity was more prevalent among non-migrants (14.6%; 95% CI 12.8-16.4) compared to migrants (12.8%; 95% CI 10.3-15.7). Non-migrants also had the greatest burden of dual-overlapping chronic morbidities, such as HIV-obesity 5.7%. Multimorbidity was 2.6 times as prevalent (PR 2.65. 95% CI 2.07-3.39) among women compared to men. Among migrants, men, and individuals with secondary or tertiary education manifested lower prevalence of two or more conditions.</p><p><strong>Discussion: </strong>In a rural community with colliding epidemics, we found low but significant multimorbidity driven by a trio of conditions: HIV, hypertension, and obesity. Understanding the multimorbidity burden associated with early adulthood exposures, including potential protective factors (i.e., migration coupled with education), is a critical first step towards improving secondary and tertiary prevention for chronic disease among highly mobile marginalised sub-populations.</p>","PeriodicalId":73083,"journal":{"name":"Frontiers in epidemiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10910947/pdf/","citationCount":"0","resultStr":"{\"title\":\"Epidemiology of chronic multimorbidity and temporary migration in a rural South African community in health transition: A cross-sectional population-based analysis.\",\"authors\":\"Armstrong Dzomba, Carren Ginsburg, Chodziwadziwa W Kabudula, Rachel R Yorlets, Pedzisai Ndagurwa, Sadson Harawa, Mark N Lurie, Stephen T McGarvey, Stephen Tollman, Mark A Collinson, Michael J White, Francesc X Gomez-Olive\",\"doi\":\"10.3389/fepid.2023.1054108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>In sub-Saharan African settings, the increasing non-communicable disease mortality is linked to migration, which disproportionately exposes sub-populations to risk factors for co-occurring HIV and NCDs.</p><p><strong>Methods: </strong>We examined the prevalence, patterns, and factors associated with two or more concurrent diagnoses of chronic diseases (i.e., multimorbidity) among temporary within-country migrants. Employing a cross-sectional design, our study sample comprised 2144 residents and non-residents 18-40 years interviewed and with measured biomarkers in 2018 in Wave 1 of the Migrant Health Follow-up Study (MHFUS), drawn from the Agincourt Health and Demographic Surveillance System (AHDSS) in rural north-eastern South Africa. We used modified Poisson regression models to estimate the association between migration status and prevalent chronic multimorbidity conditional on age, sex, education, and healthcare utilisation.</p><p><strong>Results: </strong>Overall, 301 participants (14%; 95% CI 12.6-15.6), median age 31 years had chronic multimorbidity. Multimorbidity was more prevalent among non-migrants (14.6%; 95% CI 12.8-16.4) compared to migrants (12.8%; 95% CI 10.3-15.7). Non-migrants also had the greatest burden of dual-overlapping chronic morbidities, such as HIV-obesity 5.7%. Multimorbidity was 2.6 times as prevalent (PR 2.65. 95% CI 2.07-3.39) among women compared to men. 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引用次数: 0
摘要
在撒哈拉以南非洲地区,不断上升的非传染性疾病死亡率与移徙有关,移徙使亚人群不成比例地暴露于同时发生艾滋病毒和非传染性疾病的风险因素之下。方法:我们调查了国内临时移民中两种或两种以上并发慢性疾病(即多病)的患病率、模式和相关因素。采用横断面设计,我们的研究样本包括2144名18-40岁的居民和非居民,他们在2018年的移民健康随访研究(MHFUS)的第1波中接受了采访,并测量了生物标志物,这些样本来自南非东北部农村的阿金库尔健康和人口监测系统(AHDSS)。我们使用修正的泊松回归模型来估计迁移状态与年龄、性别、教育和医疗保健利用条件下流行的慢性多病之间的关联。总体而言,301名参与者(14%;95% CI 12.6-15.6),中位年龄31岁患有慢性多病。多病在非移民中更为普遍(14.6%;95% CI 12.8-16.4)与移民相比(12.8%;95% ci 10.3-15.7)。非移民也有最大的双重重叠慢性疾病负担,如艾滋病毒肥胖5.7%。多病发生率为2.6倍(PR为2.65)。95% CI 2.07-3.39)。在移民、男性和受过中等或高等教育的个人中,两种或两种以上疾病的患病率较低。在一个流行病相互冲突的农村社区,我们发现由HIV、高血压和肥胖这三种情况驱动的低但显著的多发病。了解与成年早期接触相关的多重疾病负担,包括潜在的保护因素(即移民与教育相结合),是在高度流动的边缘亚人群中改善慢性病的二级和三级预防的关键第一步。
Epidemiology of chronic multimorbidity and temporary migration in a rural South African community in health transition: A cross-sectional population-based analysis.
Introduction: In sub-Saharan African settings, the increasing non-communicable disease mortality is linked to migration, which disproportionately exposes sub-populations to risk factors for co-occurring HIV and NCDs.
Methods: We examined the prevalence, patterns, and factors associated with two or more concurrent diagnoses of chronic diseases (i.e., multimorbidity) among temporary within-country migrants. Employing a cross-sectional design, our study sample comprised 2144 residents and non-residents 18-40 years interviewed and with measured biomarkers in 2018 in Wave 1 of the Migrant Health Follow-up Study (MHFUS), drawn from the Agincourt Health and Demographic Surveillance System (AHDSS) in rural north-eastern South Africa. We used modified Poisson regression models to estimate the association between migration status and prevalent chronic multimorbidity conditional on age, sex, education, and healthcare utilisation.
Results: Overall, 301 participants (14%; 95% CI 12.6-15.6), median age 31 years had chronic multimorbidity. Multimorbidity was more prevalent among non-migrants (14.6%; 95% CI 12.8-16.4) compared to migrants (12.8%; 95% CI 10.3-15.7). Non-migrants also had the greatest burden of dual-overlapping chronic morbidities, such as HIV-obesity 5.7%. Multimorbidity was 2.6 times as prevalent (PR 2.65. 95% CI 2.07-3.39) among women compared to men. Among migrants, men, and individuals with secondary or tertiary education manifested lower prevalence of two or more conditions.
Discussion: In a rural community with colliding epidemics, we found low but significant multimorbidity driven by a trio of conditions: HIV, hypertension, and obesity. Understanding the multimorbidity burden associated with early adulthood exposures, including potential protective factors (i.e., migration coupled with education), is a critical first step towards improving secondary and tertiary prevention for chronic disease among highly mobile marginalised sub-populations.