ArticleEpidemiology and health2020
Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand.
Article in Epidemiology and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm.Scientific reports · 2025Article
- Lifestyle factors and incident multimorbidity related to chronic disease: a population-based cohort study.European journal of ageing · 2024Article
- Prevalence of and factors associated with multimorbidity among adults in Kuwait.BMC public health · 2024Article
- Physical activity among older adults with multimorbidity: Evidence from a population-based health survey.PloS one · 2024Article
- The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study.Healthcare (Basel, Switzerland) · 2023Article
- Epidemiology and predictors of multimorbidity in Kharameh cohort study: A population-based cross-sectional study in southern Iran.Health science reports · 2023Article
- Association between healthy lifestyle and the occurrence of cardiometabolic multimorbidity in hypertensive patients: a prospective cohort study of UK Biobank.Cardiovascular diabetology · 2022Article
- Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study.BMC geriatrics · 2022Article
- Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review.BMJ open · 2022Article
- Prevalence of chronic conditions and multimorbidity in Estonia: a population-based cross-sectional study.BMJ open · 2021Article
- Video Consultations for Older Adults With Multimorbidity During the COVID-19 Pandemic: Protocol for an Exploratory Qualitative Study.JMIR research protocols · 2020Article
- Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States.International journal of environmental research and public health · 2020Article
- Lifestyle Behaviors and Socio-Demographic Factors Associated with Overweight or Obesity Among Saudi Females Attending Fitness Centers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review.Journal of multimorbidity and comorbidityReview
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5 authors.
Funding
Abstract
objectivesThe 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.
methodsPeople 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.
resultsA 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.
conclusionsThe 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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