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Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey

OBJECTIVES: To assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes. DESIGN: A cross-sectional design. SETTING: Two community health centres in central China. PARTICIPANTS: 291 community-dwelling older adults aged ≥65...

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Autores principales: Kong, Linglin, Zhao, Huimin, Fan, Junyao, Wang, Quan, Li, Jie, Bai, Jinbing, Mao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934736/
https://www.ncbi.nlm.nih.gov/pubmed/33664069
http://dx.doi.org/10.1136/bmjopen-2020-041578
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author Kong, Linglin
Zhao, Huimin
Fan, Junyao
Wang, Quan
Li, Jie
Bai, Jinbing
Mao, Jing
author_facet Kong, Linglin
Zhao, Huimin
Fan, Junyao
Wang, Quan
Li, Jie
Bai, Jinbing
Mao, Jing
author_sort Kong, Linglin
collection PubMed
description OBJECTIVES: To assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes. DESIGN: A cross-sectional design. SETTING: Two community health centres in central China. PARTICIPANTS: 291 community-dwelling older adults aged ≥65 years with type 2 diabetes. MAIN OUTCOME MEASURES: Data were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty. RESULTS: The prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884). CONCLUSIONS: A high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours.
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spelling pubmed-79347362021-03-19 Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey Kong, Linglin Zhao, Huimin Fan, Junyao Wang, Quan Li, Jie Bai, Jinbing Mao, Jing BMJ Open Geriatric Medicine OBJECTIVES: To assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes. DESIGN: A cross-sectional design. SETTING: Two community health centres in central China. PARTICIPANTS: 291 community-dwelling older adults aged ≥65 years with type 2 diabetes. MAIN OUTCOME MEASURES: Data were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty. RESULTS: The prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884). CONCLUSIONS: A high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours. BMJ Publishing Group 2021-03-04 /pmc/articles/PMC7934736/ /pubmed/33664069 http://dx.doi.org/10.1136/bmjopen-2020-041578 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Geriatric Medicine
Kong, Linglin
Zhao, Huimin
Fan, Junyao
Wang, Quan
Li, Jie
Bai, Jinbing
Mao, Jing
Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title_full Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title_fullStr Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title_full_unstemmed Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title_short Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
title_sort predictors of frailty among chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934736/
https://www.ncbi.nlm.nih.gov/pubmed/33664069
http://dx.doi.org/10.1136/bmjopen-2020-041578
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