Objective: To update the prevalence of eating disorders in the general population before 2021 and to analyze the distribution characteristics at different times and in different regions and sexes, as well as the diagnostic criteria.Methods: Based on the method from a previous report by the authors, studies were identified from the following databases: PubMed/Medline, PsycINFO, ISI Web of Knowledge, Ovid and the 4 most important Chinese databases. Articles in English and Chinese before 2021 were retrieved. The data retrieved at this time were pooled with the data from a previous report for analyses.Results: Thirty-three studies were identified, which included 18 studies supplemented in this retrieval. The pooled lifetime and 12-month prevalence of eating disorders were 0.91% (95% CI, 0.48–1.71) and 0.43% (95% CI, 0.18–0.78), respectively. The pooled lifetime and 12-month prevalence of the subgroup EDs (any), which covers all types of eating disorders, were 1.69% and 0.72%, respectively. The lifetime prevalence of AN, BN and BED was 0.16% (95% CI, 0.06–0.31), 0.63% (95% CI, 0.33–1.02) and 1.53% (95% CI, 1.00–2.17), respectively. The lifetime prevalence of EDs in Western countries was 1.89%, and was high at 2.58% in females. Prevalence studies using DSM-5 criteria were scarce.Conclusions: The prevalence of eating disorders might be underestimated thus far. Not all types of EDs were included in a majority of epidemiological surveys, and the prevalence rates of the new types of EDs were significantly higher. Eating disorders were especially common in Western countries and in females. New diagnostic criteria should be used to comprehensively assess all types of eating disorders.Level of evidence: 1, systematic review and meta-analysis.

Background: Mild cognitive impairment (MCI) is an intermediate phase between normal cognitive ageing and overt dementia, with amnesic MCI (aMCI) being the dominant subtype. This study aims to synthesise the prevalence results of MCI and aMCI in community-dwelling populations in China through a meta-analysis and systematic review. Methods: The study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol. English and Chinese studies published before 1 March 2020 were searched from ten electronic bibliographic databases. Two reviewers screened for relevance of the studies against the pre-defined inclusion and exclusion criteria and assessed the quality of the included studies using the Risk of Bias Tool independently. A random-effect model was adopted to estimate the prevalence of MCI and aMCI, followed by sub-group analyses and meta-regression. Sensitivity and publication bias tests were performed to verify the robustness of the meta-analyses. Results: A total of 41 studies with 112,632 participants were included in the meta-analyses. The Chinese community-dwelling populations over 55 years old had a pooled prevalence of 12.2% [95% confidence interval (CI): 10.6, 14.2%] for MCI and 10.9% [95% CI, 7.7, 15.4%] for aMCI, respectively. The prevalence of MCI increased with age. The American Psychiatric Association’s Diagnostic tool (DSM-IV) generated the highest MCI prevalence (13.5%), followed by the Petersen criteria (12.9%), and the National Institute on Aging Alzheimer’s Association (NIA-AA) criteria (10.3%). Women, rural residents, and those who lived alone and had low levels of education had higher MCI prevalence than others. Conclusion: Higher MCI prevalence was identified in community-dwelling older adult populations in China compared with some other countries, possibly due to more broadened criteria being adopted for confirming the diagnosis. The study shows that aMCI accounts for 66.5% of MCI, which is consistent with findings of studies undertaken elsewhere. Systematic review registration number: PROSPERO CRD42019134686.

Background: Previous studies have examined the associations of health literacy and social support with medication adherence among patients with hypertension. However, limited evidence exists regarding the mechanisms underlying the relationship between these factors and medication adherence. Purpose: To explore the prevalence of medication adherence and its determinants in patients with hypertension in Shanghai. Methods: A community-based cross-sectional study was conducted among 1697 participants with hypertension. We collected sociodemographic and clinical characteristics as well as data regarding health literacy, social support, and medication adherence using questionnaires. We examined interactions among the factors using a structural equation model. Results: The participants included 654 (38.54%) patients with a low degree of medication adherence and 1043 (61.46%) patients with a medium/high degree of adherence. Social support directly influenced adherence (β = 0.165, P < 0.001) and indirectly influenced adherence through health literacy (β = 0.087, P < 0.001). Health literacy directly influenced adherence (β = 0.291, P < 0.001). Education indirectly affected adherence through both social support (β = 0.048, P < 0.001) and health literacy (β = 0.080, P < 0.001). Moreover, there was a sequential mediating effect of social support and health literacy on the association between education and adherence (β = 0.025, P < 0.001). After controlling for age and marital status, similar results were also obtained, indicating a good model fit. Conclusions: The degree of medication adherence among hypertensive patients needs to improve. Health literacy and social support had both direct and indirect effects on adherence, and thus, these factors should be considered as tools to improve adherence.

Objective: Following World Health Organization’s initiatives to advance primary care, China put forth forceful policies including the Personal Family Doctor Contract to ensure that every family sign up with a qualified doctor in a community health center (CHC) ever since its 2009 New Health Reform. We used the Johns Hopkins-designed Primary Care Assessment Tool (PCAT) to assess primary care quality experienced by the contracted residents and compare this across different socioeconomic regions. Methods: Using a multistage sampling method, four CHCs each were randomly selected from urban, suburban and rural districts of Shanghai, a metropolitan with 24 million residents. ANOVA and Multivariate analyses were used to assess the association between location of CHC and the quality of primary care experience. Findings: A total of 2404 CHC users completed our survey. Except for the domain of coordination (information systems), users from suburban CHCs reported best primary care experiences in all other domains, followed by users of rural CHCs. After controlling for covariates, suburban CHC users were more likely to report higher total PCAT scores (ß = 1.57, P < 0.001) compared with those from urban CHCs. Conclusion: That contracted residents from suburban CHCs reporting better primary care experience than those from urban CHCs demonstrates the unique value of CHCs in relatively medical-underserved areas. In particular, urban CHCs could further strengthen first contact (utilization), first contact (accessibility), coordination (referral system), comprehensiveness (available), and community orientation aspects of primary care performance. However, all CHCs could improve coordination (information system).

Background: General practitioners (GPs) are in a unique position for community detection and management of mild cognitive impairment (MCI). However, adequate knowledge, attitudes, and practice (KAP) are prerequisites for fulfilling such a role. This study aims to assess the MCI-related KAP of GPs in Shanghai, China.Methods: An online survey was conducted on 1253 GPs who were recruited from 56 community health centres (CHCs) in Shanghai between April and May 2021. Knowledge (8 items), attitudes (13 items), and practice (11 items) were assessed using a scale endorsed by a panel of multidisciplinary experts. An average summed score was calculated and transformed into a score ranging from 0 to 100 for knowledge, attitudes, and practice, respectively. Adjusted odds ratios (AORs) were calculated for potential predictors of higher levels of KAP scores (with mean value as a cutoff point) through logistic modelling. The mediating role of attitudes on the association between knowledge and practice was tested using the PROCESS model 4 macro with 5000 bootstrap samples through linear regression modelling.Results: A total of 1253 GPs completed the questionnaire, with an average score of 54.51 ± 18.18, 57.31 ± 7.43, and 50.05 ± 19.80 for knowledge, attitudes, and practice, respectively. More than 12% of respondents scored zero in knowledge, 28.4% tended not to consider MCI as a disease, and 19.1% completely rejected MCI screening. Higher levels of knowledge were associated with more favourable attitudes toward community management of MCI (AOR = 1.974,p < 0.001). Higher compliance with practice guidelines was associated with both higher levels of knowledge (AOR = 1.426,p < 0.01) and more favourable attitudes (AOR = 2.095,p < 0.001). The association between knowledge and practice was partially mediated by attitudes (p < 0.001). Training was associated with higher levels of knowledge (AOR = 1.553,p < 0.01), while past experience in MCI management was associated with more favourable attitudes (AOR = 1.582,p < 0.05) and higher compliance with practice guidelines (AOR = 3.034,p < 0.001). MCI screening qualification was associated with higher compliance with practice guidelines (AOR = 2.162,p < 0.05), but less favourable attitudes (AOR = 0.452,p < 0.05).Conclusion: The MCI knowledge of GPs in Shanghai is low, and is associated with less favourable attitudes toward MCI management and low compliance with practice guidelines. Attitudes mediate the association between knowledge and practice. Training is a significant predictor of knowledge. Further studies are needed to better understand how the attitudes of GPs in Shanghai are shaped by the environments in which they live and work.