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The challenging labor market conditions concomitant with economic globalization and advanced technology have made youth career development competency (YCDC)—young people’s ability to navigate transitions through education into productive and meaningful employment—especially important. The present study aims to develop a holistic instrument to measure YCDC in Hong Kong, which has rarely been investigated in past studies. The sample consisted of 682 youths aged 15–29 years (387 male, mean age = 19.5 years) in Hong Kong. Exploratory factor analysis of the 17-item YCDC scale resulted in four competence factors—engagement, self-understanding, career and pathway exploration, and planning and career management—which accounted for 78.95% of the total variance. The final confirmatory factor analysis results indicated good model fit (CFI = 0.96, TLI = 0.95, RMSEA = 0.06, 90% CI (0.05, 0.07), SRMR = 0.03) and good factor loadings (0.78–0.91). Moreover, the results demonstrated a satisfactory internal consistency of subscales (0.89–0.93). Subgroup consistency across subsamples categorized by gender, age, and years of residence in Hong Kong was also demonstrated. In addition, correlations between the YCDC scale and subscales with other career-related and psychosocial outcomes (i.e., career outcome expectancy, career adaptability, civic engagement, social contribution, and social integration) showed good concurrent validity. The results indicated that the YCDC scale is a valid and reliable tool for measuring career development competence among youth in the Hong Kong context. Its development sheds light on how career professionals can holistically assess young people’s navigation competence during their school-to-work transitions.

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This study aims to examine the mechanism of how supportive interaction and facilitator input variety in mutual aid groups impact treatment adherence of young people with chronic health conditions, with consideration of time effects, which have been rarely studied in the existing literature. A stratified random sample of 391 individuals aged 12–45 years with chronic health conditions were recruited from mutual aid groups in Hong Kong and completed both the baseline and 12-month follow-up surveys. The results of the structural equation modeling indicated that supportive interaction and facilitator input variety positively predicted treatment adherence in a delayed condition, whereas members’ treatment adherence in the baseline survey had reversed effects on members’ supportive interaction in the follow-up survey. The findings of this study shed light on the dynamic mechanism of the mutual aid groups and provide important implications to promote better rehabilitation outcomes of young people with chronic health conditions.