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How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting

BACKGROUND: Multimorbidity is of increasing prevalence and importance. It has been associated with poorer health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity in the middle-aged population, defined as those aged between 40-64 years old, ther...

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Autores principales: Sim, Sai Zhen, Koh, Hui Li, Lee, Sabrina Poay Sian, Young, Doris Yee Ling, Lee, Eng Sing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490863/
https://www.ncbi.nlm.nih.gov/pubmed/32928131
http://dx.doi.org/10.1186/s12875-020-01262-2
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author Sim, Sai Zhen
Koh, Hui Li
Lee, Sabrina Poay Sian
Young, Doris Yee Ling
Lee, Eng Sing
author_facet Sim, Sai Zhen
Koh, Hui Li
Lee, Sabrina Poay Sian
Young, Doris Yee Ling
Lee, Eng Sing
author_sort Sim, Sai Zhen
collection PubMed
description BACKGROUND: Multimorbidity is of increasing prevalence and importance. It has been associated with poorer health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity in the middle-aged population, defined as those aged between 40-64 years old, there is a paucity of research investigating the impact of multimorbidity in this population. This study aimed to investigate the association between multimorbidity and HrQoL in the middle-aged primary care population in Singapore. METHODS: A cross-sectional study was conducted at a primary care centre in Singapore. Interviewer-administered questionnaires were used to collect data regarding the participants’ sociodemographic characteristics, chronic conditions, and HrQoL, as measured by the EuroQol five dimensions 3-levels questionnaire (EQ5D). We defined multimorbidity as the presence of three or more conditions, out of a list of 14 chronic conditions. The associations between multimorbidity and the components of the EQ5D were assessed using multivariable regression analyses. RESULTS: The study included 297 participants, aged 40–64 years, of which 124 (41.7%) had multimorbidity. After adjusting for sociodemographic factors, participants with multimorbidity had significantly lower EQ5D UI, (β-coefficient − 0.064 (C.I -0.125, − 0.003), p = 0.04), but not significantly lower EQ5D VAS, (β-coefficient − 0.045 (C.I 0.102, 0.012), p = 0.12). Additionally, participants with multimorbidity had higher odds (OR = 2.41, p = 0.01) of reporting problems due to pain/discomfort. CONCLUSION: Multimorbidity was not significantly associated with the overall health state, as measured by the EQ5D VAS, in middle-aged primary care patients. However, it was associated with the EQ5D UI which is a composite measure of five specific domains of HrQoL. Specifically, there was a statistically significant association between multimorbidity and the pain domain. Further studies are required to understand the relationship between multimorbidity and pain to enable physicians to better manage pain and HrQoL in this population.
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spelling pubmed-74908632020-09-16 How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting Sim, Sai Zhen Koh, Hui Li Lee, Sabrina Poay Sian Young, Doris Yee Ling Lee, Eng Sing BMC Fam Pract Research Article BACKGROUND: Multimorbidity is of increasing prevalence and importance. It has been associated with poorer health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity in the middle-aged population, defined as those aged between 40-64 years old, there is a paucity of research investigating the impact of multimorbidity in this population. This study aimed to investigate the association between multimorbidity and HrQoL in the middle-aged primary care population in Singapore. METHODS: A cross-sectional study was conducted at a primary care centre in Singapore. Interviewer-administered questionnaires were used to collect data regarding the participants’ sociodemographic characteristics, chronic conditions, and HrQoL, as measured by the EuroQol five dimensions 3-levels questionnaire (EQ5D). We defined multimorbidity as the presence of three or more conditions, out of a list of 14 chronic conditions. The associations between multimorbidity and the components of the EQ5D were assessed using multivariable regression analyses. RESULTS: The study included 297 participants, aged 40–64 years, of which 124 (41.7%) had multimorbidity. After adjusting for sociodemographic factors, participants with multimorbidity had significantly lower EQ5D UI, (β-coefficient − 0.064 (C.I -0.125, − 0.003), p = 0.04), but not significantly lower EQ5D VAS, (β-coefficient − 0.045 (C.I 0.102, 0.012), p = 0.12). Additionally, participants with multimorbidity had higher odds (OR = 2.41, p = 0.01) of reporting problems due to pain/discomfort. CONCLUSION: Multimorbidity was not significantly associated with the overall health state, as measured by the EQ5D VAS, in middle-aged primary care patients. However, it was associated with the EQ5D UI which is a composite measure of five specific domains of HrQoL. Specifically, there was a statistically significant association between multimorbidity and the pain domain. Further studies are required to understand the relationship between multimorbidity and pain to enable physicians to better manage pain and HrQoL in this population. BioMed Central 2020-09-14 /pmc/articles/PMC7490863/ /pubmed/32928131 http://dx.doi.org/10.1186/s12875-020-01262-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sim, Sai Zhen
Koh, Hui Li
Lee, Sabrina Poay Sian
Young, Doris Yee Ling
Lee, Eng Sing
How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title_full How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title_fullStr How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title_full_unstemmed How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title_short How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting
title_sort how does multimorbidity affect middle-aged adults? a cross-sectional survey in the singapore primary healthcare setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490863/
https://www.ncbi.nlm.nih.gov/pubmed/32928131
http://dx.doi.org/10.1186/s12875-020-01262-2
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