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Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study

OBJECTIVES: Classifying individuals into multimorbidity patterns can be useful to identify the target population with poorer clinical outcomes. Self-rated health (SRH) is one of the core outcomes in multimorbidity patients. Although studies have reported that multimorbidity is associated with poor S...

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Autores principales: Honda, Yuki, Nakamura, Mieko, Aoki, Takuya, Ojima, Toshiyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438194/
https://www.ncbi.nlm.nih.gov/pubmed/36538382
http://dx.doi.org/10.1136/bmjopen-2022-063729
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author Honda, Yuki
Nakamura, Mieko
Aoki, Takuya
Ojima, Toshiyuki
author_facet Honda, Yuki
Nakamura, Mieko
Aoki, Takuya
Ojima, Toshiyuki
author_sort Honda, Yuki
collection PubMed
description OBJECTIVES: Classifying individuals into multimorbidity patterns can be useful to identify the target population with poorer clinical outcomes. Self-rated health (SRH) is one of the core outcomes in multimorbidity patients. Although studies have reported that multimorbidity is associated with poor SRH, whether certain patterns have stronger associations remains unknown. Therefore, this study aimed to identify the prevalence and patterns of multimorbidity and investigate the association between multimorbidity patterns and SRH in an older Japanese population. DESIGN: Cross-sectional study. SETTING: Data were obtained from the 2013 Comprehensive Survey of Living Conditions, a nationally representative survey of the general Japanese population. PARTICIPANTS: This study mainly examined 23 730 participants aged ≥65 years who were not hospitalised or institutionalised. PRIMARY OUTCOME MEASURE: Poor SRH was defined as choosing ‘not very good’ or ‘bad’ from five options: ‘excellent’, ‘fairly good’, ‘average’, ‘not very good’ and ‘bad’. RESULTS: The prevalence of multimorbidity was 40.9% and that of poor SRH was 23.8%. Three multimorbidity patterns were identified by exploratory factor analysis: (1) degenerative/mental health, (3) malignant/digestive/urological/haematological and (3) cardiovascular/metabolic. Multivariable modified Poisson regression analysis revealed that high malignant/digestive/urological/haematological, degenerative/mental health and cardiovascular/metabolic pattern scores, corresponding to the number of affected body systems in each pattern, were significantly associated with poor SRH (adjusted risk ratio (aRR)=1.68, 95% CI: 1.60 to 1.76; aRR=1.63, 95% CI: 1.58 to 1.69; and aRR=1.31, 95% CI: 1.26 to 1.36, respectively). When including the Kessler 6 score, a screening scale for psychological distress, in the analysis, the association between each multimorbidity pattern score and poor SRH decreased. CONCLUSIONS: Malignant/digestive/urological/haematological and degenerative/mental health patterns may be associated with a high risk for poor SRH. Further research should focus on interventions to improve SRH in multimorbidity patients.
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spelling pubmed-94381942022-09-14 Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study Honda, Yuki Nakamura, Mieko Aoki, Takuya Ojima, Toshiyuki BMJ Open General practice / Family practice OBJECTIVES: Classifying individuals into multimorbidity patterns can be useful to identify the target population with poorer clinical outcomes. Self-rated health (SRH) is one of the core outcomes in multimorbidity patients. Although studies have reported that multimorbidity is associated with poor SRH, whether certain patterns have stronger associations remains unknown. Therefore, this study aimed to identify the prevalence and patterns of multimorbidity and investigate the association between multimorbidity patterns and SRH in an older Japanese population. DESIGN: Cross-sectional study. SETTING: Data were obtained from the 2013 Comprehensive Survey of Living Conditions, a nationally representative survey of the general Japanese population. PARTICIPANTS: This study mainly examined 23 730 participants aged ≥65 years who were not hospitalised or institutionalised. PRIMARY OUTCOME MEASURE: Poor SRH was defined as choosing ‘not very good’ or ‘bad’ from five options: ‘excellent’, ‘fairly good’, ‘average’, ‘not very good’ and ‘bad’. RESULTS: The prevalence of multimorbidity was 40.9% and that of poor SRH was 23.8%. Three multimorbidity patterns were identified by exploratory factor analysis: (1) degenerative/mental health, (3) malignant/digestive/urological/haematological and (3) cardiovascular/metabolic. Multivariable modified Poisson regression analysis revealed that high malignant/digestive/urological/haematological, degenerative/mental health and cardiovascular/metabolic pattern scores, corresponding to the number of affected body systems in each pattern, were significantly associated with poor SRH (adjusted risk ratio (aRR)=1.68, 95% CI: 1.60 to 1.76; aRR=1.63, 95% CI: 1.58 to 1.69; and aRR=1.31, 95% CI: 1.26 to 1.36, respectively). When including the Kessler 6 score, a screening scale for psychological distress, in the analysis, the association between each multimorbidity pattern score and poor SRH decreased. CONCLUSIONS: Malignant/digestive/urological/haematological and degenerative/mental health patterns may be associated with a high risk for poor SRH. Further research should focus on interventions to improve SRH in multimorbidity patients. BMJ Publishing Group 2022-09-01 /pmc/articles/PMC9438194/ /pubmed/36538382 http://dx.doi.org/10.1136/bmjopen-2022-063729 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle General practice / Family practice
Honda, Yuki
Nakamura, Mieko
Aoki, Takuya
Ojima, Toshiyuki
Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title_full Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title_fullStr Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title_full_unstemmed Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title_short Multimorbidity patterns and the relation to self-rated health among older Japanese people: a nationwide cross-sectional study
title_sort multimorbidity patterns and the relation to self-rated health among older japanese people: a nationwide cross-sectional study
topic General practice / Family practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438194/
https://www.ncbi.nlm.nih.gov/pubmed/36538382
http://dx.doi.org/10.1136/bmjopen-2022-063729
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