Dataset Information

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario.

ABSTRACT:

Objectives

To determine volumes and rates of multimorbidity in Ontario by age group, sex, material deprivation, and geography.

Methods

A cross-sectional population-based study was completed using linked provincial health administrative databases. Ontario residents were classified as having multimorbidity (3+ chronic conditions) or not, based on the presence of 17 chronic conditions. The volumes (number of residents) of multimorbidity were determined by age categories in addition to crude and age-sex standardized rates.

Results

Among the 2013 Ontario population, 15.2% had multimorbidity. Multimorbidity rates increased across successively older age groups with lowest rates observed in youngest (0-17 years, 0.2%) and highest rates in the oldest (80+ years, 73.5%). The rate of multimorbidity increased gradually from ages 0 to 44 years, with a substantial and graded increase in the rates as the population aged. The top five chronic conditions, of the 17 examined, among those with multimorbidity were mood disorders, hypertensive disorders, asthma, arthritis, and diabetes.

Conclusion

Much of the common rhetoric around multimorbidity concerns the aging 'grey tsunami'. This study demonstrated that the volume of multimorbidity is derived from adults beginning as young as age 35 years old. A focus only on the old underestimates the absolute burden of multimorbidity on the health care system. It can mask the association of material deprivation and geography with multimorbidity which can turn our attention away from two critical issues: (1) potential inequality in health and health care in Ontario and (2) preventing younger and middle-aged people from moving into the multimorbidity category.

SUBMITTER: Ryan BL

PROVIDER: S-EPMC6964436 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Publications

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario.

Ryan Bridget L BL Bray Jenkyn Krista K Shariff Salimah Z SZ Allen Britney B Glazier Richard H RH Zwarenstein Merrick M Fortin Martin M Stewart Moira M

Canadian journal of public health = Revue canadienne de sante publique 20180718 5-6

<h4>Objectives</h4>To determine volumes and rates of multimorbidity in Ontario by age group, sex, material deprivation, and geography.<h4>Methods</h4>A cross-sectional population-based study was completed using linked provincial health administrative databases. Ontario residents were classified as having multimorbidity (3+ chronic conditions) or not, based on the presence of 17 chronic conditions. The volumes (number of residents) of multimorbidity were determined by age categories in addition t ...[more]

PMID: 30022403

Similar Datasets

Project description:BackgroundPopulation ageing challenges health care systems due to the high prevalence and impact of multimorbidity in older adults. However, little is known about how chronic conditions present in certain multimorbidity patterns, which could have great impact on public health at several levels. The aim of our study was to identify and describe multimorbidity patterns in low-, middle-, and high-income countries.MethodsWe analyzed data from the Collaborative Research on Ageing in Europe project (Finland, Poland, and Spain) and the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, and South Africa). These cross-sectional studies obtained data from 41,909 noninstitutionalized adults older than 50 years. Exploratory factor analysis was performed to detect multimorbidity patterns. Additional adjusted binary logistic regressions were performed to identify associations between sociodemographic factors and multimorbidity.ResultsOverall multimorbidity prevalence was high across countries. Hypertension, cataract, and arthritis were the most prevalent comorbid conditions. Two or three multimorbidity patterns were found per country. Several patterns were identified across several countries: "cardio-respiratory" (angina, asthma, and chronic obstructive pulmonary disease), "metabolic" (diabetes, obesity, and hypertension), and "mental-articular" (arthritis and depression).ConclusionsA high prevalence of multimorbidity occurs in older adults across countries, with low- and middle-income countries gradually approaching the figures of richer countries. Certain multimorbidity patterns are present in several countries, which suggest that common underlying etiopathogenic factors may play a role. Deeper understanding of these patterns may lead to the development of preventive actions to diminish their prevalence and also give rise to new, comprehensive approaches for the management of these co-occurring conditions.

Project description:OBJECTIVE:This study aimed to report prevalence and evaluate the association between multimorbidity and associated risk factors in the adult population of Bangladesh. DESIGN:A cross-sectional study was conducted using a multistage clustered random sampling strategy. SETTING:The study was conducted among the general population of 58 districts in Bangladesh. PARTICIPANTS:A total of 12?338 male and female individuals aged ?35 were included for analysis in this study. Identified through a household listing conducted prior to the study, from 15?297 individuals meeting the inclusion criteria, 12?338 participants were included based on availability during data collection, consent and health condition. OUTCOME MEASURES:Multimorbidity in terms of hypertension, diabetes, cancer, cardiovascular diseases, stroke and chronic obstructive pulmonary disease. RESULTS:Approximately 8.4% (95%?CI 7.0 to 9.7) of individuals suffer from multimorbidity, of which hypertension accounted for (30.1%) followed by diabetes (10.6%). The mean age of the population was 58.6 (SD ±9.2) years. The prevalence of multimorbidity was lower among men (7.7%) compared with women (8.9%). The likelihood of having multimorbidity among obese individuals were more than double than people with normal body mass index (BMI). Physical activity protected individuals from developing multimorbidity: however, the physical activity adjusted OR was 0.5 (95% CI 0.2 to 1.2). After adjusting for all covariates, higher age, higher educational status, economic status, and higher BMI were found to be significantly associated with the odds of developing multimorbidity, with an overall adjusted OR of 0.02 (95% CI 0.01 to 0.02). CONCLUSION:This study reported a high prevalence of multimorbidity in Bangladesh, although it explored the burden and identified risk factors considering only six chronic diseases. Further detailed exploration through longitudinal studies considering a wider range of diseases is needed to document the actual burden, develop effective preventive measures and clinical guidelines to improve the quality of life of the population.

Dataset Information

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario.

Objectives

Methods

Results

Conclusion

Publications

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario.

Similar Datasets

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