ArticleBMC public health2023
Analysis of multiple chronic disease characteristics in middle-aged and elderly South Koreans by exercise habits based on association rules mining algorithm.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 20 citations in OpenAlex.
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- Association rule analysis of physical activity and multimorbidity in middle-aged Korean adults with diabetes: an evidence to promote active lifestyles.BMC public health · 2026Article
- Cross-sectional observational study on prevalence and pattern of multimorbidity and its impact on geriatric outpatients in a south Indian tertiary hospital.Frontiers in public health · 2026Observational
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- Development of the Dietary Practices and Food Safety Literacy Scale for Older Adults.Nutrients · 2025Article
- Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm.Scientific reports · 2025Article
- Association between physical activity behaviors and hypertension with comorbid multiple chronic diseases in South Korean middle-aged and elderly: an analysis based on association rule.BMC public health · 2025Article
- Identifying risk factors associated with the health-related quality of life for coronary heart diseases elderly using association rule mining.Scientific reports · 2025Article
- Health beliefs mediates the association between the number of non-communicable diseases and preventive behaviors in middle-aged and older adults in southern China.Aging clinical and experimental research · 2025Article
- Physical activity and cardiovascular risk in obese older Korean women: effects on obesity, hypertension, and arterial stiffness.Frontiers in public health · 2025Article
- Interaction effects of high temperature and ozone on cardiovascular disease mortality in Chengdu, 2014-2023.Frontiers in public health · 2025Article
- Effects of Physical Activity and Sedentary Behavior on Metabolic Syndrome in Postmenopausal Korean Women.Iranian journal of public health · 2024Article
- The association between intensity-specific physical activity and the number of multiple chronic diseases among Chinese elderly: A study based on the China Health and Retirement Longitudinal study (CHARLS).Preventive medicine reports · 2024Article
- There is no association between anxiety and lifestyle in older adults during the COVID-19 pandemic: A cross-sectional study.SAGE open medicine · 2024Article
- Association of frailty with health service use among older Chinese adults: analysis of population-based panel data.Frontiers in public health · 2023Article
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe term, "multiple chronic diseases" (MCD), describes a patient with two or more chronic conditions simultaneously at the same time. Compared with general chronic diseases, it is linked to poorer health outcomes, more difficult clinical management, and higher medical expenses. Several existing MCD guidelines support a healthy lifestyle including regular physical activities but do not include specific exercise therapy recommendations. This study aimed to understand the prevalence and model of MCD in middle-aged and elderly South Koreans by comparing MCD characteristics with exercise habits, to provide a theoretical basis for the implementation of exercise therapy in these patients.
methodsThe data of 8477 participants aged > 45 years from the "2020 Korean Health Panel Survey" were used to analyze the current status of MCD in the middle-aged and elderly. The Chi-square test for categorical variables and the t-test for continuous variables. the used software was IBM SPSS Statistics 26.0 and IBM SPSS Modeler 18.0.
resultsIn this study, the morbidity rate of MCD was 39.1%. Those with MCD were more likely to be female (p < 0.001), seniors over 65 years of age (p < 0.001), with low education level, no regular exercise behavior (p < 0.01). Chronic renal failure (93.9%), depression (90.4%), and cerebrovascular disease (89.6%) were the top three diseases identified in patients with MCD. A total of 37 association rules were identified for the group of individuals who did not engage in regular exercise. This equated to 61% more than that of the regular exercise group, who showed only 23 association rules. In the extra association rules, cardiovascular diseases (150%), spondylosis (143%), and diabetes (125%) are the three chronic diseases with the highest frequency increase.
conclusionsAssociation rule analysis is effective in studying the relationship between various chronic diseases in patients with MCD. It also effectively helps with the identification of chronic diseases that are more sensitive to regular exercise behaviors. The findings from this study may be used to formulate more appropriate and scientific exercise therapy for patients with MCD.
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