Wenyu Wang’s research while affiliated with Peking University and other places

Subjective support-focused cognitive behavioral therapy (SS-CBT) could increase subjective support among (pre)frail community-dwelling older adults, however, the underlying mechanisms remain unclear. We conducted a randomized controlled trial, in which the SS-CBT group (n = 50) received SS-CBT once a week for eight weeks and the wait-list control group (n = 50) received no intervention. The dependent variable was subjective support, and potential mediators included self-esteem, gratitude, cognitive distortions, interpersonal competence and rumination. Measurements took place before and after the intervention. We found that interpersonal competence mediated the effectiveness of SS-CBT on both perceived support availability (β = 2.030, 95%CI = 1.164, 3.081) and perceived support adequacy (β = 6.37, 95%CI = 3.52, 9.74), while self-esteem only mediated the effectiveness of SS-CBT on perceived support availability (β = 1.621, 95%CI = 0.502, 2.843). Gratitude, cognitive distortions, and rumination neither mediated the effectiveness of SS-CBT on perceived support availability nor on perceived support adequacy. These findings highlight self-esteem and interpersonal competence as the mechanisms through which SS-CBT increases subjective support, especially perceived support availability. This implicates that the SS-CBT should exclusively emphasize the apparent active ingredients (self-esteem and interpersonal competence) to promote its efficiency.

Objective: To appraise the methodological quality, clinical applicability, and reporting quality of clinical practice guidelines (CPGs) for frailty in primary care and identify research gaps using evidence mapping. Study design and setting: We conducted a systematic literature search in PubMed, Web of Science, Embase, CINAHL, guideline databases, and frailty or geriatric society websites. Appraisal of Guidelines Research and Evaluation II, AGREE-Recommendations Excellence, and Reporting Items for Practice Guidelines in Healthcare checklist were used to evaluate overall quality for frailty CPGs as "high", "medium" or "low" quality. We used bubble plots to show recommendations in CPGs. Results: Twelve CPGs were identified. According to the overall quality evaluation, five CPGs were considered as high quality, six as medium quality, and one as low quality. The recommendations in CPGs were generally consistent and mainly focused on frailty prevention, identification, multidisciplinary, non-pharmacological, and other treatments. However, evidence was lacking in some areas, such as effective prevention strategies and implementation of recommendations. Conclusion: The frailty CPGs vary in quality but have consistent recommendations that can guide clinical practice in primary care. This could point the way for future research to address existing gaps and facilitate the development of trustworthy CPGs for frailty.

Objective: To develop the wed-based system for predicting risk of (pre)frailty among community-dwelling older adults. Materials and methods: (Pre)frailty was determined by physical frailty phenotype scale. A total of 2802 robust older adults aged ≥60 years from the China Health and Retirement Longitudinal Study (CHARLS) 2013-2015 survey were randomly assigned to derivation or internal validation cohort at a ratio of 8:2. Logistic regression, Random Forest, Support Vector Machine and eXtreme Gradient Boosting (XGBoost) were used to construct (pre)frailty prediction models. The Grid search and 5-fold cross validation were combined to find the optimal parameters. All models were evaluated externally using the temporal validation method via the CHARLS 2011-2013 survey. The (pre)frailty predictive system was web-based and built upon representational state transfer application program interfaces. Results: The incidence of (pre)frailty was 34.2 % in derivation cohort, 34.8 % in internal validation cohort, and 32.4 % in external validation cohort. The XGBoost model achieved better prediction performance in derivation and internal validation cohorts, and all models had similar performance in external validation cohort. For internal validation cohort, XGBoost model showed acceptable discrimination (AUC: 0.701, 95 % CI: [0.655-0.746]), calibration (p-value of Hosmer-Lemeshow test > 0.05; good agreement on calibration plot), overall performance (Brier score: 0.200), and clinical usefulness (decision curve analysis: more net benefit than default strategies within the threshold of 0.15-0.80). The top 3 of 14 important predictors generally available in community were age, waist circumference and cognitive function. We embedded XGBoost model into the server and this (pre)frailty predictive system is accessible at http://www.frailtyprediction.com.cn. A nomogram was also conducted to enhance the practical use. Conclusions: A user-friendly web-based system was developed with good performance to assist healthcare providers to measure the probability of being (pre)frail among community-dwelling older adults in the next two years, facilitating the early identification of high-risk population of (pre)frailty. Further research is needed to validate this preliminary system across more controlled cohorts.

Background: The ecological model of health and ageing has proposed that functional ability (FA) is determined by the interaction between intrinsic capacity (IC) and environmental characteristics. This study empirically examined how social support, as an important social environmental resource, interacts with IC to affect FA trajectories among older adults. Methods: This was a prospective three-wave cohort study with a sample of 775 community-dwelling older adults. Social support, IC and FA were assessed using the Social Support Rating Scale, the revised Integrated Care for Older People screening tool and the Lawton Instrumental Activities of Daily Living Scale, respectively. Latent growth curve models (LGCM) were implemented to test their relationships. Results: FA significantly declined over 3 years, and the detrimental effect of impaired IC on the deterioration rate of FA was buffered by subjective support but was aggravated by support utilization and was not changed by objective support. FA decline among older adults with impaired IC was observed in those with low subjective support or with high support utilization but not in those with high subjective support or with low support utilization. Among older adults with intact IC, FA decline was observed in those with low support utilization but not in those with high support utilization or with low or high subjective support. Conclusions: Subjective support may prevent FA decline among older adults with impaired IC, while support utilization may benefit older adults with intact IC but may be detrimental for those with impaired IC. Social support interventions to optimize FA trajectories should improve older adults' perceptions of support and bridge the gap in support utilization among older adults with impaired IC.

The current study validated and compared three short Geriatric Depression Scales (GDS), including the GDS-5, D'Ath GDS-4, and van Marwijk GDS-4, among 917 Chinese community-dwelling older adults. The GDS-5, D'Ath GDS-4, and van Marwijk GDS-4 presented satisfactory accuracy against the GDS-15 (area under the curve [AUC] = 0.872 to 0.952), and the GDS-5 and D'Ath GDS-4 had better accuracy than the van Marwijk GDS-4. Satisfactory accuracy (AUC = 0.842 to 0.979) for the three scales was also observed across subgroups by age, sex, education, cognitive function, and multimorbidity. The GDS-5 but not D'Ath GDS-4 and van Marwijk GDS-4 retained a 2-point optimal cutoff for depressive symptoms across subgroups. The GDS-5 (average inter-item correlation coefficient [AIIC] = 0.233) and the D'Ath GDS-4 (AIIC = 0.171) but not van Marwijk GDS-4 (AIIC = 0.128) had acceptable internal consistency. Three scales had stable test-retest reliability within a 1- to 2-week interval (intraclass correlation coefficient = 0.670 to 0.885). The GDS-5 is an accurate and reliable depression screening tool with an invariable optimal cutoff among Chinese community-dwelling older adults. The variable optimal cutoffs for the D'Ath GDS-4 and van Marwijk GDS-4 across subgroups may limit their applicability in this population. [Research in Gerontological Nursing, xx(x), xx-xx.].

Aim This study is aimed to evaluate the effectiveness of a theory‐driven exercise intervention for Chinese community‐dwelling (pre)frail older adults, and to clarify the underlying mechanisms of the exercise intervention in this population. Design A stepped‐wedge cluster‐randomized trial. Methods A stepped‐wedge cluster‐randomized trial will be conducted among (pre)frail older adults at six communities in a county of central China. A 12‐week multicomponent exercise intervention based on the integration of the Health Belief Model (HBM) and the Theory of Planned Behaviour (TPB) will be implemented to all participants during the study period. The primary outcomes are frailty, muscle mass, muscle strength and physical performance. Secondary outcomes include beliefs in exercise, exercise behaviours and other physical, mental and social functioning. Assessments will be conducted at baseline and at week 12, 24 and 36. A multilevel regression model will be used to evaluate the effectiveness of exercise interventions. A multilevel mediation model will be used to clarify the underlying mechanisms of this exercise intervention. Discussion This study is expected to provide an effective and practical mode for exercise interventions among Chinese community‐dwelling (pre)frail older adults, and contribute to the existing evidence in this field. Trial registration Chinese Clinical Trial Registry ChiCTR2100041981.

Objective To identify patterns of intrinsic capacity (IC) and determine the association between these patterns with incident one-year outcomes. Methods A total of 756 older adults aged ≥ 60 years were followed up after 1 year. IC was assessed using the revised integrated care for older people screening tool, and its patterns were examined by the latent class analysis. Logistic regression models were conducted to compare the risk of adverse outcomes. Results Three IC patterns were identified. Both “sharp declines in sensory domain” (Class 2) and “sharp declines in locomotion, psychological, cognition and vitality domains” (Class 3) were at greater risk of disabilities and poor physical quality of life than “relatively healthy” (Class 1). The Class 3 was twice as likely to be hospitalized as Class 1. Discussion Assessment of IC could provide valuable information on stratifying older adults into heterogeneous groups, promoting targeted interventions to delay the adverse outcomes.

Objectives To investigate whether and how social support influenced frailty progression through depressive symptoms and physical activity. Methods Of 1235 community-dwelling older adults enrolled at baseline, 778 (63.0%) undergoing at least one yearly follow-up were included in the final analysis. Data were collected on frailty, social support, depressive symptoms, physical activity and covariates. Results Two frailty trajectory classes were identified and labeled as alleviated frailty and deteriorated frailty. Subjective support prevented the deterioration of frailty through decreased depressive symptoms, while objective support and support utilization prevented the deterioration of frailty through increased physical activity. Conclusions The pathways through which social support ameliorates frailty vary by support types. Subjective support interventions should be included in the multifactorial interdisciplinary management of frailty to address social and psychological vulnerabilities, along with objective support and support utilization interventions addressing physical inactivity.