Cargando…
Multimorbidity at sea level and high-altitude urban and rural settings: The CRONICAS Cohort Study
OBJECTIVE: To characterize the prevalence and clustering of multimorbidity in four diverse geographical settings in Peru. METHODS: Multimorbidity, defined as having ≥2 chronic conditions, was studied in adults aged ≥35 years in four diverse settings in Peru: Lima, Tumbes, and urban and rural Puno. S...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240099/ https://www.ncbi.nlm.nih.gov/pubmed/34249770 http://dx.doi.org/10.1177/2235042X19875297 |
_version_ | 1783715148323618816 |
---|---|
author | Miranda, J Jaime Bernabe-Ortiz, Antonio Gilman, Robert H Smeeth, Liam Malaga, German Wise, Robert A Checkley, William |
author_facet | Miranda, J Jaime Bernabe-Ortiz, Antonio Gilman, Robert H Smeeth, Liam Malaga, German Wise, Robert A Checkley, William |
author_sort | Miranda, J Jaime |
collection | PubMed |
description | OBJECTIVE: To characterize the prevalence and clustering of multimorbidity in four diverse geographical settings in Peru. METHODS: Multimorbidity, defined as having ≥2 chronic conditions, was studied in adults aged ≥35 years in four diverse settings in Peru: Lima, Tumbes, and urban and rural Puno. Six of these conditions (alcohol disorder, asthma, chronic obstructive pulmonary disease, depression, diabetes, and hypertension) were cataloged as objectively ascertained chronic conditions and paired in dyads to explore clusters of multimorbidity. RESULTS: We analyzed data from 2890 adults, mean age 55.2 years, 49% males. Overall, 19.1% of participants had multimorbidity, ranging from 14.7% in semi-urban Tumbes to 22.8% in Lima. The dyads with the highest coexistence (approximately 20%) were observed in hypertension and diabetes in Tumbes, whereas the dyads with lowest coexistence (approximately 1%) were those involving asthma in all study sites. In terms of clusters, Tumbes showed a predominance of hypertension and diabetes, urban and rural Puno a predominance of depression and alcohol disorders, and Lima a higher degree of coexistence of all of the six conditions than in the other clusters. CONCLUSION: Multimorbidity is common and the pattern of clusters is highly heterogeneous. The conditions to prioritize will vary in each setting. |
format | Online Article Text |
id | pubmed-8240099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82400992021-07-08 Multimorbidity at sea level and high-altitude urban and rural settings: The CRONICAS Cohort Study Miranda, J Jaime Bernabe-Ortiz, Antonio Gilman, Robert H Smeeth, Liam Malaga, German Wise, Robert A Checkley, William J Comorb Original Article OBJECTIVE: To characterize the prevalence and clustering of multimorbidity in four diverse geographical settings in Peru. METHODS: Multimorbidity, defined as having ≥2 chronic conditions, was studied in adults aged ≥35 years in four diverse settings in Peru: Lima, Tumbes, and urban and rural Puno. Six of these conditions (alcohol disorder, asthma, chronic obstructive pulmonary disease, depression, diabetes, and hypertension) were cataloged as objectively ascertained chronic conditions and paired in dyads to explore clusters of multimorbidity. RESULTS: We analyzed data from 2890 adults, mean age 55.2 years, 49% males. Overall, 19.1% of participants had multimorbidity, ranging from 14.7% in semi-urban Tumbes to 22.8% in Lima. The dyads with the highest coexistence (approximately 20%) were observed in hypertension and diabetes in Tumbes, whereas the dyads with lowest coexistence (approximately 1%) were those involving asthma in all study sites. In terms of clusters, Tumbes showed a predominance of hypertension and diabetes, urban and rural Puno a predominance of depression and alcohol disorders, and Lima a higher degree of coexistence of all of the six conditions than in the other clusters. CONCLUSION: Multimorbidity is common and the pattern of clusters is highly heterogeneous. The conditions to prioritize will vary in each setting. SAGE Publications 2019-11-06 /pmc/articles/PMC8240099/ /pubmed/34249770 http://dx.doi.org/10.1177/2235042X19875297 Text en © The Author(s) 2019 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Miranda, J Jaime Bernabe-Ortiz, Antonio Gilman, Robert H Smeeth, Liam Malaga, German Wise, Robert A Checkley, William Multimorbidity at sea level and high-altitude urban and rural settings: The CRONICAS Cohort Study |
title | Multimorbidity at sea level and high-altitude urban and rural
settings: The CRONICAS Cohort Study |
title_full | Multimorbidity at sea level and high-altitude urban and rural
settings: The CRONICAS Cohort Study |
title_fullStr | Multimorbidity at sea level and high-altitude urban and rural
settings: The CRONICAS Cohort Study |
title_full_unstemmed | Multimorbidity at sea level and high-altitude urban and rural
settings: The CRONICAS Cohort Study |
title_short | Multimorbidity at sea level and high-altitude urban and rural
settings: The CRONICAS Cohort Study |
title_sort | multimorbidity at sea level and high-altitude urban and rural
settings: the cronicas cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240099/ https://www.ncbi.nlm.nih.gov/pubmed/34249770 http://dx.doi.org/10.1177/2235042X19875297 |
work_keys_str_mv | AT mirandajjaime multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT bernabeortizantonio multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT gilmanroberth multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT smeethliam multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT malagagerman multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT wiseroberta multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT checkleywilliam multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy AT multimorbidityatsealevelandhighaltitudeurbanandruralsettingsthecronicascohortstudy |