Cargando…
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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049854/ https://www.ncbi.nlm.nih.gov/pubmed/32148480 http://dx.doi.org/10.1155/2020/7816785 |
_version_ | 1783502529883013120 |
---|---|
author | Roman Lay, Alejandra Andrea Ferreira do Nascimento, Carla Caba Burgos, Fresia Larraín Huerta, Angélica del Carmen Rivera Zeballos, René Eduardo Pantoja Silva, Verónica Duarte, Yeda Aparecida de Oliveira |
author_facet | Roman Lay, Alejandra Andrea Ferreira do Nascimento, Carla Caba Burgos, Fresia Larraín Huerta, Angélica del Carmen Rivera Zeballos, René Eduardo Pantoja Silva, Verónica Duarte, Yeda Aparecida de Oliveira |
author_sort | Roman Lay, Alejandra Andrea |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7049854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-70498542020-03-06 Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults Roman Lay, Alejandra Andrea Ferreira do Nascimento, Carla Caba Burgos, Fresia Larraín Huerta, Angélica del Carmen Rivera Zeballos, René Eduardo Pantoja Silva, Verónica Duarte, Yeda Aparecida de Oliveira Curr Gerontol Geriatr Res Research Article 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. Hindawi 2020-02-19 /pmc/articles/PMC7049854/ /pubmed/32148480 http://dx.doi.org/10.1155/2020/7816785 Text en Copyright © 2020 Alejandra Andrea Roman Lay et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Roman Lay, Alejandra Andrea Ferreira do Nascimento, Carla Caba Burgos, Fresia Larraín Huerta, Angélica del Carmen Rivera Zeballos, René Eduardo Pantoja Silva, Verónica Duarte, Yeda Aparecida de Oliveira Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title | Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title_full | Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title_fullStr | Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title_full_unstemmed | Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title_short | Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults |
title_sort | gender differences between multimorbidity and all-cause mortality among older adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049854/ https://www.ncbi.nlm.nih.gov/pubmed/32148480 http://dx.doi.org/10.1155/2020/7816785 |
work_keys_str_mv | AT romanlayalejandraandrea genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT ferreiradonascimentocarla genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT cababurgosfresia genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT larrainhuertaangelicadelcarmen genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT riverazeballosreneeduardo genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT pantojasilvaveronica genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults AT duarteyedaaparecidadeoliveira genderdifferencesbetweenmultimorbidityandallcausemortalityamongolderadults |