Determining cut-off values and predictors for the Snaith-Hamilton Pleasure Scale: comparison between clinical and school settings.

BACKGROUND: Few previous studies have established Snaith-Hamilton Pleasure Scale (SHAPS) cut-off values using receiver operating characteristic curve analysis and applied these values to compare predictors of anhedonia between clinical and nonclinical groups. AIMS: To determine the optimal cut-off values for the SHAPS and use them to identify predictors of anhedonia in clinical and nonclinical groups in Taiwan. METHOD: This cross-sectional and correlational study used convenience sampling to recruit 160 patients from three hospitals and 412 students from two universities in northern Taiwan. Data analysis included receiver operating characteristic curve, univariate and multivariate analyses. RESULTS: The optimal SHAPS cut-off values were 29.5 and 23.5 for the clinical and nonclinical groups, respectively. Moreover, two-stage analysis revealed that participants in the clinical group who perceived themselves as nondepressed, and participants in the nonclinical group who did not skip classes and whose fathers exhibited higher levels of care and protection were less likely to attain the cut-off values. Conversely, participants in the nonclinical group who reported lower academic satisfaction and were unwilling to seek help from family or friends were more likely to attain the cut-off values. CONCLUSIONS: Our findings highlight the importance of optimal cut-off values in screening for depression risk within clinical and nonclinical groups. Accordingly, the development of comprehensive, individualised programmes to monitor variation trends in SHAPS scores and relevant predictors of anhedonia across different target populations is crucial.

Exploring the impact of a multilevel intervention focused on reducing the practices of seclusion and restraint in acute mental health units in an Australian mental health service.

Reducing and eliminating seclusion and restraint in inpatient settings has been a key area of focus in mental health policy and research for many years. To address this issue, numerous programmes aimed at minimising the use of these practices have been developed over the past two decades, with varying degrees of success. This article reports on research focused on the implementation of a localised, multilevel complex intervention that targeted both organisational and individual factors related to the use of seclusion and restraint. The researchers followed the impact of the intervention by interviewing medical, nursing and allied health staff who worked within the service (N = 12) and analysing the rates of seclusion and restraint over an 18-month period. Post-adoption, participants identified that there were clear changes in practice culture. Seclusion clearly became a practice of last resort and other options became prominent in staff's practice. Participants identified that there was a sense of shared purpose across the multidisciplinary team. The clinical environment was viewed as being more therapeutic for service users and less frightening for staff. There was a significant difference in the total number of seclusion events between pre- (Mean = 6.22, SD = 5.82) and post-implementation (Mean = 2.55, SD = 2.44, p = 0.002, d = 0.94), demonstrating a significantly lower number of seclusions was observed after the intervention. Similarly, a significant difference in restraint events between pre- (Mean = 5.50, SD = 3.77) and post-implementations (Mean = 3.38, SD = 3.21, p = 0.037, d = 0.62) was observed.

Identifying differential trajectories and predictors for depressive symptoms in adolescents using latent class growth analysis: A population-based cohort study.

INTRODUCTION: This study investigated the differential trajectories and relevant determinants of depressive symptoms in adolescents by following cohorts that included junior, senior, and vocational high school adolescents, over a 3-year period in Taiwan. METHODS: Longitudinal data were obtained from 575 adolescents who participated in the Taiwan Adolescent to Adult Longitudinal Study. Data analysis included latent class growth with time-varying covariate, univariate, and multivariate analysis. RESULTS: A three-class ("low but increasing trajectory," "moderate and stable trajectory," and "high but decreasing trajectory") model fit the data of the cohort. Our findings indicated that 29%, 38%, and 33% of the adolescents were in the low but increasing, moderate and stable, and high but decreasing trajectories, respectively. After confounders were controlled for, bullying experiences were identified as a risk factor for depressive symptoms. The protective factors against depressive symptoms included resilience and peer and social support. CONCLUSIONS: The transitions between different educational stages critically influence the depressive symptoms of adolescents, and the adolescents follow different depressive trajectories, that have different etiology. Therefore, identifying adolescents at high risk for depression and designing student-centered intervention programs through individualized and multidimensional assessment of depressive symptoms are crucial for adolescents.

Correlations among life stress, smoking behavior, and depressive symptoms in adolescents: A descriptive study with a mediating model.

The major objective of this study was to investigate how smoking behavior mediates the relationship between life stress and depressive symptoms in adolescents. A descriptive correlational study was conducted from February to June 2017 at a vocational high school in northern Taiwan, and 226 students were recruited through convenience sampling. Results indicated that smoking behavior played a pivotal role by partially mediating the relationship between life stress and depressive symptoms in adolescents. Life stress in adolescents significantly increased the risk of experiencing depressive symptoms, and adolescents who smoked were also at a greater risk. Assessments between the objective and self-reported smoking behavior were significantly correlated. Therefore, integrated methods for assessing life stress, smoking behavior, and depressive symptoms in adolescents are needed for teachers and clinical professionals. Implementing appropriate policies for discouraging tobacco use for adolescents experiencing life stress in order to decrease depressive symptoms in school settings is paramount.