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Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand

OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. METHODS: People aged 55-70 years were invited to participate in a population-bas...

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Autores principales: Aminisani, Nayyereh, Stephens, Christine, Allen, Joanne, Alpass, Fiona, Shamshirgaran, Seyed Morteza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005455/
https://www.ncbi.nlm.nih.gov/pubmed/32028546
http://dx.doi.org/10.4178/epih.e2020001
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author Aminisani, Nayyereh
Stephens, Christine
Allen, Joanne
Alpass, Fiona
Shamshirgaran, Seyed Morteza
author_facet Aminisani, Nayyereh
Stephens, Christine
Allen, Joanne
Alpass, Fiona
Shamshirgaran, Seyed Morteza
author_sort Aminisani, Nayyereh
collection PubMed
description OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. METHODS: People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM. RESULTS: A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant. CONCLUSIONS: The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.
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spelling pubmed-70054552020-02-13 Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand Aminisani, Nayyereh Stephens, Christine Allen, Joanne Alpass, Fiona Shamshirgaran, Seyed Morteza Epidemiol Health Original Article OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. METHODS: People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM. RESULTS: A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant. CONCLUSIONS: The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies. Korean Society of Epidemiology 2019-12-27 /pmc/articles/PMC7005455/ /pubmed/32028546 http://dx.doi.org/10.4178/epih.e2020001 Text en ©2020, Korean Society of Epidemiology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Aminisani, Nayyereh
Stephens, Christine
Allen, Joanne
Alpass, Fiona
Shamshirgaran, Seyed Morteza
Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title_full Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title_fullStr Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title_full_unstemmed Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title_short Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
title_sort socio-demographic and lifestyle factors associated with multimorbidity in new zealand
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005455/
https://www.ncbi.nlm.nih.gov/pubmed/32028546
http://dx.doi.org/10.4178/epih.e2020001
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