Alejandra Andrea Roman Lay, Carla Ferreira do Nascimento, Fresia Caba Burgos, Angélica Del Carmen Larraín Huerta, René Eduardo Rivera Zeballos, Verónica Pantoja Silva, Yeda Aparecida de Oliveira Duarte
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Survival analysis was performed using Cox proportional hazard models.</p><p><strong>Results: </strong>Hypertension (HT) was the most prevalent disease in older adults (52.93%), followed by musculoskeletal disorders (MSDs) (27.09%), cardiovascular diseases (CD) (17.79%), diabetes mellitus (DM) (16.95%), mental disorders (MD) (15.43%), and respiratory diseases (RD) (9.72%). The highest mortality rate in women was observed in the combination of HT/MSDs/DM/MD (HR = 6.15, 95% CI = 2.32, 16.32), while in men was in the combination of HT/CD/MSDs/DM (HR = 5.72, 95% CI = 1.72, 19.06).</p><p><strong>Conclusion: </strong>Similar to previous studies carried out in developed countries, we found that all-cause mortality increased as diseases are added to an individual. Women and men presented different mortality patterns according to multimorbidity. Therefore, we suggest that additional longitudinal studies should be performed in order to analyze mortality by sex.</p>","PeriodicalId":39066,"journal":{"name":"Current Gerontology and Geriatrics Research","volume":"2020 ","pages":"7816785"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2020/7816785","citationCount":"18","resultStr":"{\"title\":\"Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults.\",\"authors\":\"Alejandra Andrea Roman Lay, Carla Ferreira do Nascimento, Fresia Caba Burgos, Angélica Del Carmen Larraín Huerta, René Eduardo Rivera Zeballos, Verónica Pantoja Silva, Yeda Aparecida de Oliveira Duarte\",\"doi\":\"10.1155/2020/7816785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study seeks to determine the prevalence of chronic diseases and analyze the association between multimorbidity and all-cause mortality by sex.</p><p><strong>Methods: </strong>This is a 16-year longitudinal study of follow-up. 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引用次数: 18
摘要
目的:本研究旨在确定慢性疾病的患病率,并按性别分析多病和全因死亡率之间的关系。方法:这是一项16年的纵向随访研究。我们使用了SABE (Health, well - welfare and Aging)研究队列的样本数据和通过圣保罗市死亡率信息改善计划(PRO-AIM)获得的2000-2016年期间的死亡率数据。生存率分析采用Cox比例风险模型。结果:老年人中高血压(HT)患病率最高(52.93%),其次是肌肉骨骼疾病(MSDs)(27.09%)、心血管疾病(CD)(17.79%)、糖尿病(DM)(16.95%)、精神疾病(MD)(15.43%)和呼吸系统疾病(RD)(9.72%)。女性HT/MSDs/DM/MD合并组死亡率最高(HR = 6.15, 95% CI = 2.32, 16.32),而男性HT/CD/MSDs/DM合并组死亡率最高(HR = 5.72, 95% CI = 1.72, 19.06)。结论:与之前在发达国家进行的研究类似,我们发现,随着个体疾病的增加,全因死亡率也会增加。根据多病性,女性和男性呈现出不同的死亡模式。因此,我们建议进行额外的纵向研究,以便按性别分析死亡率。
Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults.
Objectives: This study seeks to determine the prevalence of chronic diseases and analyze the association between multimorbidity and all-cause mortality by sex.
Methods: This is a 16-year longitudinal study of follow-up. We used sample data of the SABE (Health, Well-Being and Aging) study cohort and mortality data obtained through the Mortality Information Improvement Program of the City of São Paulo (PRO-AIM) from the 2000-2016 period. Survival analysis was performed using Cox proportional hazard models.
Results: Hypertension (HT) was the most prevalent disease in older adults (52.93%), followed by musculoskeletal disorders (MSDs) (27.09%), cardiovascular diseases (CD) (17.79%), diabetes mellitus (DM) (16.95%), mental disorders (MD) (15.43%), and respiratory diseases (RD) (9.72%). The highest mortality rate in women was observed in the combination of HT/MSDs/DM/MD (HR = 6.15, 95% CI = 2.32, 16.32), while in men was in the combination of HT/CD/MSDs/DM (HR = 5.72, 95% CI = 1.72, 19.06).
Conclusion: Similar to previous studies carried out in developed countries, we found that all-cause mortality increased as diseases are added to an individual. Women and men presented different mortality patterns according to multimorbidity. Therefore, we suggest that additional longitudinal studies should be performed in order to analyze mortality by sex.