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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Epidemiology
2019
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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. |
format | Online Article Text |
id | pubmed-7005455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Society of Epidemiology |
record_format | MEDLINE/PubMed |
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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