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Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering

OBJECTIVE: We aimed to evaluate which risk factors in middle-aged women are associated with higher risk of multimorbidity in older age. STUDY DESIGN: We conducted a prospective cohort study from 1990 to 1993 in Santiago de Chile, Chile among women aged 40–59 (at baseline). Diagnosed illnesses were r...

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Autores principales: Blümel, Juan E., Carrillo-Larco, Rodrigo M., Vallejo, María S., Chedraui, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North Holland Biomedical Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284304/
https://www.ncbi.nlm.nih.gov/pubmed/32498936
http://dx.doi.org/10.1016/j.maturitas.2020.04.016
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author Blümel, Juan E.
Carrillo-Larco, Rodrigo M.
Vallejo, María S.
Chedraui, Peter
author_facet Blümel, Juan E.
Carrillo-Larco, Rodrigo M.
Vallejo, María S.
Chedraui, Peter
author_sort Blümel, Juan E.
collection PubMed
description OBJECTIVE: We aimed to evaluate which risk factors in middle-aged women are associated with higher risk of multimorbidity in older age. STUDY DESIGN: We conducted a prospective cohort study from 1990 to 1993 in Santiago de Chile, Chile among women aged 40–59 (at baseline). Diagnosed illnesses were retrieved from national health records in 2020. MAIN OUTCOME MEASURES: : Clinical and laboratory evaluation was conducted. RESULTS: 1066 women were followed-up for a mean of 27.8 years, after which 49.7% presented multimorbidity. These women, as compared with those without multimorbidity, were more likely at baseline to have had obesity (20.4% vs. 8.6%, p < 0.001); be post-menopause (47.2% vs. 40.5%; p < 0.03); have jobs that did not require a qualification (74.2% vs. 56.0%, p < 0.001); arterial hypertension (19.8% vs 14.4%, p < 0.018); lower HDL-cholesterol (51.3 ± 12.9 vs. 53.6±12.7 mg/dL, p < 0.005); and higher triglyceride levels (136.0 ± 65.0 vs. 127.0 ± 74.0 mg/dL, p = 0.028). Hypertension was associated in 22.0% of women with diabetes, in 20.9% with osteoarthritis and 14.0% with depression. Osteoarthritis was also associated with diabetes mellitus (8.3%) and depression (7.8%). Diabetes mellitus, in addition to hypertension and osteoarthritis, was associated with depression (6.4%). In a logistic regression model, we observed that obesity in middle-aged women was the strongest risk factor for multimorbidity in the elderly (OR: 2.48; 95% CI, 1.71–3.61), followed by having a job that did not require a qualification (OR: 2.18; 95% CI, 1.67–2.83) and having a low HDL-cholesterol level (OR: 1.31; 95% CI, 1.02–1.68). CONCLUSIONS: Multimorbidity was highly prevalent in this older female population. Obesity in middle-aged women was the strongest risk factor for multimorbidity at older age. These results are relevant for Chile and other countries with similar population profiles.
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spelling pubmed-72843042020-07-01 Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering Blümel, Juan E. Carrillo-Larco, Rodrigo M. Vallejo, María S. Chedraui, Peter Maturitas Article OBJECTIVE: We aimed to evaluate which risk factors in middle-aged women are associated with higher risk of multimorbidity in older age. STUDY DESIGN: We conducted a prospective cohort study from 1990 to 1993 in Santiago de Chile, Chile among women aged 40–59 (at baseline). Diagnosed illnesses were retrieved from national health records in 2020. MAIN OUTCOME MEASURES: : Clinical and laboratory evaluation was conducted. RESULTS: 1066 women were followed-up for a mean of 27.8 years, after which 49.7% presented multimorbidity. These women, as compared with those without multimorbidity, were more likely at baseline to have had obesity (20.4% vs. 8.6%, p < 0.001); be post-menopause (47.2% vs. 40.5%; p < 0.03); have jobs that did not require a qualification (74.2% vs. 56.0%, p < 0.001); arterial hypertension (19.8% vs 14.4%, p < 0.018); lower HDL-cholesterol (51.3 ± 12.9 vs. 53.6±12.7 mg/dL, p < 0.005); and higher triglyceride levels (136.0 ± 65.0 vs. 127.0 ± 74.0 mg/dL, p = 0.028). Hypertension was associated in 22.0% of women with diabetes, in 20.9% with osteoarthritis and 14.0% with depression. Osteoarthritis was also associated with diabetes mellitus (8.3%) and depression (7.8%). Diabetes mellitus, in addition to hypertension and osteoarthritis, was associated with depression (6.4%). In a logistic regression model, we observed that obesity in middle-aged women was the strongest risk factor for multimorbidity in the elderly (OR: 2.48; 95% CI, 1.71–3.61), followed by having a job that did not require a qualification (OR: 2.18; 95% CI, 1.67–2.83) and having a low HDL-cholesterol level (OR: 1.31; 95% CI, 1.02–1.68). CONCLUSIONS: Multimorbidity was highly prevalent in this older female population. Obesity in middle-aged women was the strongest risk factor for multimorbidity at older age. These results are relevant for Chile and other countries with similar population profiles. Elsevier/North Holland Biomedical Press 2020-07 /pmc/articles/PMC7284304/ /pubmed/32498936 http://dx.doi.org/10.1016/j.maturitas.2020.04.016 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Blümel, Juan E.
Carrillo-Larco, Rodrigo M.
Vallejo, María S.
Chedraui, Peter
Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title_full Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title_fullStr Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title_full_unstemmed Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title_short Multimorbidity in a cohort of middle-aged women: Risk factors and disease clustering
title_sort multimorbidity in a cohort of middle-aged women: risk factors and disease clustering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284304/
https://www.ncbi.nlm.nih.gov/pubmed/32498936
http://dx.doi.org/10.1016/j.maturitas.2020.04.016
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