Identification of status quo and association rules for chronic comorbidity among Chinese middle-aged and older adults rural residents

Bibliographic Data

ID22075611
AuthorsZijing Yu (0009-0005-1697-3872, Chinese Academy of Medical Sciences & Peking Union Medical College), Yuquan Chen (0000-0002-8014-4084, Chinese Academy of Medical Sciences & Peking Union Medical College), Qianhang Xia (0009-0001-8483-8825, Chinese Academy of Medical Sciences & Peking Union Medical College), Qingru Qu, Q M Qu (0009-0002-8712-2803, Tsinghua University), Tao Dai (0000-0003-3343-0114, Chinese Academy of Medical Sciences & Peking Union Medical College, corresponding author)
Year2023
Volume11
Pages1186248-1186248
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1186248
PMID37325337
OpenAlexW4379010314
LanguageEN
References cited45

Background: Chronic comorbidity has become a major challenge in chronic disease prevention and control. This issue is particularly pronounced in rural areas of developing countries, where the prevalence of chronic disease comorbidity is high, especially among middle-aged and older adults populations. However, the health status of middle-aged and older adults individuals in rural areas of China has received inadequate attention. Therefore, it is crucial to investigate the correlation among chronic diseases to establish a reference basis for adjusting health policies aimed at promoting the prevention and management of chronic diseases among middle-aged and older adults individuals. Methods: test with SPSS statistical software. Data analysis was conducted using the Apriori algorithm of Python software, set to mine the strong association rules of positive correlation between chronic disease comorbidities of middle-aged and older adults residents. Results: The prevalence of chronic comorbidity was 56.6%. The chronic disease comorbidity group with the highest prevalence rate was the lumbar osteopenia + hypertension group. There were significant differences in the prevalence of chronic disease comorbidity among middle-aged and older adults residents in terms of gender, BMI, and chronic disease management. The Apriori algorithm was used to screen 15 association rules for the whole population, 11 for genders, and 15 for age groups. According to the order of support, the most common association rules of comorbidity of three chronic diseases were: {lumbar osteopenia} → {hypertension} (support: 29.22%, confidence: 58.44%), {dyslipidemia} → {hypertension} (support: 19.14%, confidence: 65.91%) and {fatty liver} → {hypertension} (support: 17.82%, confidence: 64.17%). Conclusion: The prevalence of chronic comorbidity among middle-aged and older adults rural residents in China is relatively high. We identified many association rules among chronic diseases, dyslipidemia is mostly the antecedent, and hypertension is primarily the result. In particular, the majority of comorbidity aggregation patterns consisted of hypertension and dyslipidemia. By implementing scientifically-proven prevention and control strategies, the development of healthy aging can be promoted

Chronic disease · Comorbidity · Disease · Environmental health · Pathology · Population · Psychiatry · Rural area · Cardiovascular Health and Risk Factors · Chronic Disease Management Strategies · Demography · Medicine · Primary Care and Health Outcomes · Gerontology · Internal Medicine

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