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Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults

OBJECTIVE: The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories. DESIGN: Population-based cohort...

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Autores principales: Chamberlain, Alanna M, St. Sauver, Jennifer L, Jacobson, Debra J, Manemann, Sheila M, Fan, Chun, Roger, Véronique L, Yawn, Barbara P, Finney Rutten, Lila J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885446/
https://www.ncbi.nlm.nih.gov/pubmed/27235302
http://dx.doi.org/10.1136/bmjopen-2016-011410
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author Chamberlain, Alanna M
St. Sauver, Jennifer L
Jacobson, Debra J
Manemann, Sheila M
Fan, Chun
Roger, Véronique L
Yawn, Barbara P
Finney Rutten, Lila J
author_facet Chamberlain, Alanna M
St. Sauver, Jennifer L
Jacobson, Debra J
Manemann, Sheila M
Fan, Chun
Roger, Véronique L
Yawn, Barbara P
Finney Rutten, Lila J
author_sort Chamberlain, Alanna M
collection PubMed
description OBJECTIVE: The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories. DESIGN: Population-based cohort study. SETTING: Olmsted County, Minnesota. PARTICIPANTS: Olmsted County, Minnesota residents aged 60–89 in 2005. PRIMARY OUTCOME MEASURE: Changes in frailty over an 8-year period from 2005 to 2012, measured by constructing a yearly frailty index. Frailty trajectories by decade of age were determined using k-means cluster modelling for longitudinal data. RESULTS: After adjustment for age and sex, all social and behavioural factors (education, marital status, living arrangements, smoking status and alcohol use) were significantly associated with frailty trajectories in those aged 60–69 and 70–79 years. After further adjustment for baseline frailty, the likelihood of being in the high frailty trajectory was greatest among those reporting concerns from relatives/friends about alcohol consumption (OR (95% CI) 2.26 (1.19 to 4.29)) and those with less than a high school education (OR (95% CI) 1.98 (1.32 to 2.96)) in the 60–69 year olds. In the 70–79 year olds, the largest associations were observed among those with concerns from oneself about alcohol consumption (OR (95% CI) 1.92 (1.23 to 3.00)), those with less than a high school education (OR (95% CI) 1.57 (1.12 to 2.22)), and those living with family (vs spouse; OR (95% CI) 1.76 (1.05 to 2.94)). No factors remained associated with frailty trajectories in the 80–89 year olds after adjustment for baseline frailty. CONCLUSIONS: Social and behavioural factors are associated with frailty, with stronger associations observed in younger ages. Recognition of social and behavioural factors associated with increasing frailty may inform interventions for individuals at risk of worsening frailty, specifically when targeted at younger individuals.
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spelling pubmed-48854462016-06-01 Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults Chamberlain, Alanna M St. Sauver, Jennifer L Jacobson, Debra J Manemann, Sheila M Fan, Chun Roger, Véronique L Yawn, Barbara P Finney Rutten, Lila J BMJ Open Epidemiology OBJECTIVE: The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories. DESIGN: Population-based cohort study. SETTING: Olmsted County, Minnesota. PARTICIPANTS: Olmsted County, Minnesota residents aged 60–89 in 2005. PRIMARY OUTCOME MEASURE: Changes in frailty over an 8-year period from 2005 to 2012, measured by constructing a yearly frailty index. Frailty trajectories by decade of age were determined using k-means cluster modelling for longitudinal data. RESULTS: After adjustment for age and sex, all social and behavioural factors (education, marital status, living arrangements, smoking status and alcohol use) were significantly associated with frailty trajectories in those aged 60–69 and 70–79 years. After further adjustment for baseline frailty, the likelihood of being in the high frailty trajectory was greatest among those reporting concerns from relatives/friends about alcohol consumption (OR (95% CI) 2.26 (1.19 to 4.29)) and those with less than a high school education (OR (95% CI) 1.98 (1.32 to 2.96)) in the 60–69 year olds. In the 70–79 year olds, the largest associations were observed among those with concerns from oneself about alcohol consumption (OR (95% CI) 1.92 (1.23 to 3.00)), those with less than a high school education (OR (95% CI) 1.57 (1.12 to 2.22)), and those living with family (vs spouse; OR (95% CI) 1.76 (1.05 to 2.94)). No factors remained associated with frailty trajectories in the 80–89 year olds after adjustment for baseline frailty. CONCLUSIONS: Social and behavioural factors are associated with frailty, with stronger associations observed in younger ages. Recognition of social and behavioural factors associated with increasing frailty may inform interventions for individuals at risk of worsening frailty, specifically when targeted at younger individuals. BMJ Publishing Group 2016-05-27 /pmc/articles/PMC4885446/ /pubmed/27235302 http://dx.doi.org/10.1136/bmjopen-2016-011410 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Epidemiology
Chamberlain, Alanna M
St. Sauver, Jennifer L
Jacobson, Debra J
Manemann, Sheila M
Fan, Chun
Roger, Véronique L
Yawn, Barbara P
Finney Rutten, Lila J
Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title_full Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title_fullStr Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title_full_unstemmed Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title_short Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
title_sort social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885446/
https://www.ncbi.nlm.nih.gov/pubmed/27235302
http://dx.doi.org/10.1136/bmjopen-2016-011410
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