Objective To clarify the hotspots and trends of multimorbidity research and to provide evidence for further research in China. Methods Papers on multimorbidity were retrieved from PubMed and Web of Science (from inception to August 11,2021).BICOMB and gCLUTO were used for bibliometric and clustering analysis,and CiteSpace was employed for analysis of authors and citations,and burst detection of keywords. Results The research on multimorbidity has been on the rise.Among the authors,Mercer SW published the most papers on this topic and Fortin M was the most cited author.Karolinska Institute topped the institutions in the number of published papers,and the paper published in Lancet by Barnett K in 2012 was the most cited.A total of 75 high-frequency keywords were extracted,on the basis of which seven research hotspots were summarized:epidemiology (including the prevalence and trend),medication (involving polypharmacy,medication compliance,etc.),medical expenditure (including cost and medical services),aging (such as elderly patients,frailty,and disability),psychology (involving mental health,social support,etc.),multimorbidity management (such as the treatment,primary health care,and integrated care),and comorbidity of cardiovascular and metabolic diseases (involving obesity,stroke,diabetes,etc.). Conclusions Multimorbidity is concerned as a major health threat and public health problem worldwide.The management of multimorbidity is more complex than that of one disease,which thus faces more challenges.Therefore,researchers,health care providers,and policy-makers should underscore it.
Aged ; Bibliometrics ; China/epidemiology* ; Comorbidity ; Humans ; Multimorbidity

Chronic Disease ; Delivery of Health Care ; Health Facilities ; Humans ; Multimorbidity

Objective: To explore the relationship between obesity status and death stratified by different multi-morbidity status in older adults in China. Methods: Data for older Chinese adults aged ≥65 years were from Chinese Longitudinal Healthy Longevity Survey (CLHLS). Multi-morbidity patterns based on 13 chronic conditions were explored using exploratory factor analysis. Cox models were used to examine relationships between obesity status and death stratified by disease count and multi-morbidity patterns at baseline, respectively. Besides, obesity status was defined by baseline body mass index and waist circumference. Results: A total of 6 272 participants were included in the analyses. Multi-morbidity including cardio-metabolic, sensory perception and other patterns were identified. For those without any chronic condition, compared with those without central obesity, central obesity was associated with a higher risk for death (HR=1.66, 95%CI:1.04-2.66). For those only with one chronic condition, compared with normal weight, underweight was associated with a higher risk for death (HR=1.41, 95%CI: 1.10-1.80). For those with multi-morbidity, compared with normal weight, underweight increased the risk for death (HR=1.19, 95%CI:1.05-1.34). Compared with those without central obesity, central obesity decreased the risk for death (HR=0.88, 95%CI:0.78-0.99). Conclusions: Relationships between obesity status and death varied by multi-morbidity status in older adults in China. Underweight and non-central obesity were associated with increased risks for death in older adults with only one chronic disease or multi-morbidity. Therefore, it is necessary to pay attention to multi-morbidity status in the management of obesity in older adults and provide effective targeted body weight management plan.
Aged ; China/epidemiology* ; Humans ; Middle Aged ; Multimorbidity ; Obesity/epidemiology* ; Risk Factors ; Waist Circumference

BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease. CONCLUSION Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
Aged ; Arthritis, Rheumatoid ; Asians ; China/epidemiology* ; Humans ; Hypertension ; Middle Aged ; Multimorbidity

Objective: To explore the characteristics, patterns of multimorbidity and the impact on quality of life and the prognosis of middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD). Methods: This is a cross-sectional study. From January 2012 to December 2021, 939 middle-aged and elderly COPD patients hospitalized in Beijing Hospital were selected by the convenient sampling method. The basic data of patients and the date of 16 common chronic diseases were collected. Patterns of multimorbidity were depicted by cluster analysis. Generalized linear regression model and logistic regression were used to evaluate the multimorbidity patterns and their prognosis. Results: At least one multimorbidity existed among 93.40% of COPD patients, and the median number of multimorbidity was 3. The top five multimorbidity among the patients were hypertension (57.93%, 544/939), coronary heart disease (33.76%,317/939), heart failure (31.95%,300/939), hyperlipidemia (31.63%,297/939) and arrhythmia (27.37%,257/939). Four multimorbidity patterns were identified, cardiometabolic and metabolic multimorbidity, kidney disease multimorbidity, respiratory-digestive-tumor multimorbidity and other multimorbidity. Cardiometabolic and metabolic multimorbidity was most common (590/939, 62.83%). Compared with non-cardiometabolic and metabolic multimorbidity, the incharge ADL score of patients with this multimorbidity decreased by 7 points (95%CI:-11.22- -3.34), Correspondingly, patients with kidney disease multimorbidity decreased by 14 points (95%CI:-24.12- -3.30) on the incharge score. The presence or absence of kidney disease multimorbidity had the greatest impact on discharge score, which was reduced by 12 points in comparison with patients without this multimorbidity (95%CI:-22.43- -2.40). ICU admission is mostly affected by the presence of cardiometabolic and metabolic multimorbidity (OR=2.44, 95%CI: 1.51-3.92) and kidney disease multimorbidity (OR=2.58, 95%CI: 1.01-6.60). The risk of death is the highest for cardiometabolic and metabolic multimorbidity (OR=2.24, 95%CI: 1.19-4.21). Conclusion: Multimorbidity is common in COPD patients. The most common pattern is cardiometabolic and metabolic multimorbidity. Cardiometabolic and metabolic multimorbidity and kidney disease multimorbidity significantly affect the quality of life and often associate with a poor prognosis.
Aged ; Middle Aged ; Humans ; Multimorbidity ; Inpatients ; Prevalence ; Cross-Sectional Studies ; Quality of Life ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Chronic Disease

OBJECTIVES: To develop a Chinese version of the Stress Adaption Scale (SAS) and to assess its reliability and validity among Chinese patients with multimorbidity. METHODS: The Brislin model was used to translate, synthesize, back-translate, and cross culturally adapt the SAS. A total of 323 multimorbidity patients selected by convenience sampling method from four hospitals in Zhejiang province. The critical ratio method, total question correlation method, and graded response model (item characteristic curve and item discrimination) were used for item analysis. Cronbach's alpha coefficient and split-half reliability were used for the reliability analysis. Content validity analysis, structural validity analysis, and criterion association validity analysis were performed by expert scoring method, confirmatory factor analysis, and Pearson correlation coefficient method, respectively. RESULTS: The Chinese version of the SAS contained 2 dimensions of resilience and thriving, with a total of 10 items. In the item analysis, the critical ratio method showed that the critical ratio of all items was greater than 3.0 (P<0.001); the correlation coefficient method showed that the Pearson correlation coefficients for all items exceeded 0.4 (P<0.01). The graded response model showed that items of the revised scale exhibited distinct item characteristic curves and all items had discrimination parameters exceeding 1.0. In the reliability analysis, Cronbach's alpha coefficient of the revised Chinese version of the SAS scale was 0.849, and the split-half reliability was 0.873. In the validity analysis, the item-level content validity index and scale-level content validity index both exceeded 0.80. In the confirmatory factor analysis, the revised two-factor model showed satisfactory fit indices (χ²/df=3.115, RMSEA=0.081, RMR=0.046, GFI=0.937, AGFI=0.898, CFI=0.936, TLI=0.915). In the criterion-related validity analysis, the Chinese version of the SAS score was negatively correlated with the Perceived Stress Scale and the Treatment Burden Questionnaire, with correlation coefficients of －0.592 and －0.482, respectively (both P<0.01). CONCLUSIONS The Chinese version of the SAS has good reliability and validity, which can be used to evaluate the stress adaption capacity among multimorbidity patients in China, and provides a reference for developing individualized health management measures.
Humans ; Adaptation, Psychological ; Asian People ; China ; Multimorbidity ; Reproducibility of Results ; Stress, Psychological/psychology* ; Surveys and Questionnaires ; Translating ; Cross-Cultural Comparison

Objective: To assess the prevalence, pattern and outcome of multimorbidity in elderly patients with acute coronary syndrome (ACS). Methods: Secondary analysis was performed based on the data from the BleeMACS registry, which was conducted between 2003 and 2014. We stratified elderly patients (≥65 years) according to their multimorbidity. Multimorbidity was defined as two or more chronic diseases in the same individual. Kaplan-Meier methods were used to estimate 1 year event rates for each endpoint, and comparisons between the study groups were performed using the log-rank test. The primary endpoint was net adverse clinical events (NACE), which is a composite of all-cause mortality, myocardial infarction, or bleeding. Results: Of 7 120 evaluable patients, 6 391 (89.8%) were with morbidity (1 594 with 1, 2 156 with 2, and 2 641 with ≥3 morbidity). Patients with morbidity were older, percent of female sex and non-ST-elevation acute coronary syndromes and implantation rate with drug-eluting stents and blood creatine level were higher compared to patients without morbidity. Compared with the patients without morbidity, the proportion of participants with oral anticoagulant increased in proportion to increased number of morbidities (5.8% vs. 6.4% with 1 morbidity, 7.3% with 2 morbidities, 9.0% with ≥3 morbidities, P trend<0.01) and the proportion of participants with clopidogrel prescription decreased in proportion to increased number of morbidity (91.9% vs. 89.7% with 1 morbidity, 87.9% with 2 morbidities, 88.6% with ≥3 morbidities, P trend = 0.01). During 1 year follow-up, compared with those with no morbidity, the hazard ratio (HR) and 95% confidence interval (CI) of risk of NACE for those with 1, 2, and ≥ 3 morbidities was 1.18 (0.86-1.64), 1.49 (1.10-2.02), and 2.74 (2.06-3.66), respectively (P < 0.01). Multimorbidity was not associated with an increased risk of bleeding of various organs (P>0.05). Conclusion: Multimorbidity is common in elderly patients with ACS. These patients might benefit from coordinated and integrated multimorbidity management by multidisciplinary teams.
Acute Coronary Syndrome/epidemiology* ; Aged ; Clopidogrel ; Female ; Hemorrhage ; Humans ; Multimorbidity ; Percutaneous Coronary Intervention/methods* ; Platelet Aggregation Inhibitors/adverse effects* ; Registries ; Treatment Outcome

From January 2019 to December 2021, overweight and obese children who visited in health outpatient Center of Hunan Children's Hospital were studied to explore and analyze the rate, related factors and patterns of multimorbidity of overweight and obesity-related diseases in children in Hunan Province. Univariate and multivariate logistic regression models were used to analyze the multimorbidity-related factors of overweight and obesity-related diseases in children. Association rules (apriori algorithm) were used to explore the multimorbidity patterns of overweight and obesity-related diseases in children. A total of 725 overweight and obese children were included in this study. The multimorbidity rate of overweight and obesity-related diseases in children was 46.07% (334/725). Age, waist circumference, the frequency of food consumption such as hamburgers and fries and adding meals before bedtime were multimorbidity-related factors of overweight and obesity-related diseases in children. The multimorbidity associated with nonalcoholic fatty liver disease (NAFLD) was relatively common. The patterns with the top three support degrees were "NAFLD+dyslipidemia","NAFLD+hypertension" and "NAFLD+hyperuricemia". The patterns with the top three confidence and elevation degrees were "Hypertension+dyslipidemia => NAFLD","Hyperuricemia => NAFLD" and "NAFLD+hypertension => dyslipidemia".
Child ; Humans ; Overweight/complications* ; Non-alcoholic Fatty Liver Disease ; Pediatric Obesity/epidemiology* ; Hyperuricemia ; Multimorbidity ; Hypertension/epidemiology* ; Dyslipidemias ; Body Mass Index ; Risk Factors

No abstract available.
Comorbidity ; Humans

No abstract available.
Comorbidity ; Osteoporosis