2024
DOI: 10.1016/j.arr.2023.102165
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Prevalence and patterns of multimorbidity in China during 2002–2022: A systematic review and meta-analysis

Yaoda Hu,
Zixing Wang,
Huijing He
et al.
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Cited by 14 publications
(2 citation statements)
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“…The common comorbidities were endocrine and metabolism, cardiovascular system, digestive system disease, chronic obstructive pulmonary disease, osteoarthritis, and neuropsychology, which were similar to the results of previous studies. 24 A meta-analysis divided the included comorbidities into three major patterns, namely cardiovascular and metabolic diseases, mental health problems and musculoskeletal muscle disorders and classified cancer into patterns of mental health problems with an incidence of 100%. 25 The most common chronic comorbidities in breast cancer patients are muscle and joint bone disease, gastrointestinal disorders, diabetes, and hypertension.…”
Section: Discussionmentioning
confidence: 99%
“…The common comorbidities were endocrine and metabolism, cardiovascular system, digestive system disease, chronic obstructive pulmonary disease, osteoarthritis, and neuropsychology, which were similar to the results of previous studies. 24 A meta-analysis divided the included comorbidities into three major patterns, namely cardiovascular and metabolic diseases, mental health problems and musculoskeletal muscle disorders and classified cancer into patterns of mental health problems with an incidence of 100%. 25 The most common chronic comorbidities in breast cancer patients are muscle and joint bone disease, gastrointestinal disorders, diabetes, and hypertension.…”
Section: Discussionmentioning
confidence: 99%
“…In developing countries multimorbidity tends to be more prevalent among the wealthier population, while in developed countries it is higher among the poor. Combinations of MCC varies across nations for example in China [ 12 ] hypertension with hearing impairment, and in Africa [ 13 ] dyslipidemia with hypertension are a few. Characterizing the patterns is a primary step to plan need-based interventions for specific populations.…”
Section: Introductionmentioning
confidence: 99%