This study focussed on evaluating the status of recent research on medical decision‐making for adolescents with depression and identifying research hotspots and frontiers via CiteSpace. We extracted studies that were concerned with medical decision‐making for adolescents with depression from the Web of Science Core Collection (WoSCC), covering the period from 1 January 1999 to 20 September 2022. We used CiteSpace to generate online maps of worldwide cooperation among countries, institutions, and authors. Hotspots and frontiers were systematically summarized. A total of 368 papers related to medical decision‐making for adolescents with depression were obtained from WoSCC. The most prolific author was Nick Midgley (seven papers). The United States and University College London were the leading country and institution in this research area, with 177 and 17 papers, respectively. Countries, institutions, and authors all actively collaborated. Main recent research trends include the preference or attitude towards medical treatment in adolescents with depression; approaches for adolescents with depression to seeking medical help; and the key role of parent, family, and primary care in medical decision‐making for adolescents. Thus, further attention should be paid to determining how to promote the role of parents, families, and primary care in the decision‐making process and create appropriate online help‐seeking tools and decision aids to facilitate shared decision‐making in the future.

Objective: This study aimed to assess the nutritional status and sarcopenia in older people living in nursing homes. Methods: This cross-sectional study enrolled 386 older adults in nursing homes in Hunan Province, China. Assessments included the Mini Nutritional Assessment Short Form for nutrition risk, Dietary Diversity Score for dietary diversity and Mini Mental State Examination for cognitive status. Sociodemographic (e.g., age, sex and educational level), health-related characteristics (e.g., food intake, self-care status and medication), body composition (e.g., body mass index [BMI], protein, body fat mass [BFM], percent body fat [PBF], skeletal muscle index [SMI] and total body water [TBW]) and anthropometric parameters data (e.g., calf circumference [CC], upper arm circumference [UAC], handgrip and gait speed) were also collected. Malnutrition and their associated risk were analyzed by multivariable Poisson regression analysis. Results: In total, 32.4% of participants (n = 125) were at risk of malnutrition and 49.7% (n = 192) suffered from sarcopenia. Nutritional status was positively associated with age (risk ratio [RR] = 1.03), sarcopenia (RR = 1.88), tooth loss affecting food intake (RR = 1.45), low self-care status (RR = 1.82) and moderate/inadequate dietary diversity (RR = 2.04) and negatively associated with one child (RR = 0.27), BMI (RR = 0.82), protein (RR = 0.76), BFM (RR = 0.91), PBF (RR = 0.94), SMI (RR = 0.65), TBW (RR = 0.94), CC (RR = 0.89) and UAC (RR = 0.86). Conclusions: Age, number of children, sarcopenia, food intake, self-care status, dietary diversity and body composition were associated with malnutrition among nursing home residents. For vulnerable groups, researchers should focus on raising the body composition indicators, such as BMI, protein, BFM, SMI and TBW and measuring CC and UAC for initial screening.