BackgroundDespite the pervasive use of smartphones among university students, there is still a dearth of research examining the association between smartphone use and psychological well-being among this population. The current study addresses this research gap by investigating the relationship between smartphone use and psychological well-being among university students in Thailand.MethodsThis cross-sectional study was conducted from January to March 2018 among university students aged 18–24 years from the largest university in Chiang Mai, Thailand. The primary outcome was psychological well-being, and was assessed using the Flourishing Scale. Smartphone use, the primary independent variable, was measured by five items which had been adapted from the eight-item Young Diagnostic Questionnaire for Internet Addiction. All scores above the median value were defined as being indicative of excessive smartphone use.ResultsOut of the 800 respondents, 405 (50.6%) were women. In all, 366 (45.8%) students were categorized as being excessive users of smartphones. Students with excessive use of smartphones had lower scores the psychological well-being than those who did not use smartphone excessively (B = -1.60; P < 0.001). Female students had scores for psychological well-being that were, on average, 1.24 points higher than the scores of male students (P < 0.001).ConclusionThis study provides some of the first insights into the negative association between excessive smartphone use and the psychological well-being of university students. Strategies designed to promote healthy smartphone use could positively impact the psychological well-being of students.

The Breast Size Satisfaction Survey (BSSS) was established to assess women's breast size dissatisfaction and breasted experiences from a cross-national perspective. A total of 18,541 women were recruited from 61 research sites across 40 nations and completed measures of current-ideal breast size discrepancy, as well as measures of theorised antecedents (personality, Western and local media exposure, and proxies of socioeconomic status) and outcomes (weight and appearance dissatisfaction, breast awareness, and

Background: Large numbers of perinatally HIV-infected (PHIV) children are aging into adolescence. We examined cognitive and behavioral outcomes in a longitudinal cohort of Asian youth. Methods: We followed up 231 PHIV, 125 perinatally HIV-exposed, uninfected (HEU), and 138 HIV-unexposed, uninfected (HUU) adolescents (aged 10 years and older), matched by age/sex, in Thailand and Cambodia for 3 years. Executive function was assessed with Children's Color Trails Tests 1 and 2 (CCTT-1 and -2), the design fluency test, and the verbal fluency test. Working memory (Freedom from Distractibility Index) and processing speed index were assessed using WISC-III. Visual memory was assessed by design memory and design recognition subtests of the Wide Range Assessment of Memory and Learning (WRAML-2) and behavioral problems using the Child Behavior Checklist (CBCL). Generalized estimating equations examined adjusted odds ratios of cognitive impairment (Z-scores ≥2 SD below age-adjusted means of the HUU group) and CBCL T-scores in the borderline-clinical range (T-Scores ≥60) in PHIV and HEU versus HUU youth, adjusting for ethnicity, household income, and caregiver characteristics. Results: The median age at enrollment was 13.8 years, with 58% women and 63% Thai participants. PHIV youth had >86% virological suppression and significantly higher impairment rates on CCTT-1 and -2 tests, design fluency test, verbal fluency tests, design memory, and CBCL internalizing and externalizing problems. Results were mostly similar between HEU and HUU groups, apart from higher impairment rates on CCTT-1 and internalizing problems in HEU. Conclusion: Asian adolescents with PHIV remain at risk of cognitive and mental health problems despite HIV treatment. Selective risks are observed among HEU youth.

IntroductionPathogenic belief is a central construct within control-mastery theory, which is an integrated dynamic-cognitive-relational approach in psychotherapy. Pathogenic beliefs result from traumatic life experiences and are considered the root of any psychological disorders presented clinically. Nevertheless, how and what type of pathogenic beliefs are attributed to clinical depressive disorder is unknown. The present study aimed to examine this issue.Patients and methodsThirty patients with depressive disorder, who came for psychotherapy at a psychotherapy clinic, were matched based on age and gender with healthy controls who were medical students. The 54-item pathogenic belief scale (PBS) was administered and compared between depressive and control groups using odds ratio (OR).ResultsThe depressed group’s PBS mean score was significantly higher than the healthy controls (t=3.78, P<0.001). Thirteen of 54 items significantly differed between the two groups with ORs ranging from 3.76 to 16.79. The content of pathogenic beliefs centered on the issues of negative sense of self, lack of self-efficacy and control, and relational difficulties related to feelings of fear and humiliation. Influences of culture and gender differences on pathogenic beliefs were discussed.ConclusionPathogenic beliefs relate to depression such that the higher the number of pathogenic beliefs one has, the more the likelihood of having depression. Since the PBS was developed based on clinical data (rather than theory based), cultural issues as well as age and gender may influence the development of pathogenic beliefs. Further study should be warranted and implications for clinical practice are discussed.

Objective: To develop a predictive model of neurocognitive trajectories in children with perinatal HIV (pHIV). Design: Machine learning analysis of baseline and longitudinal predictors derived from clinical measures utilized in pediatric HIV. Methods: Two hundred and eighty-five children (ages 2–14 years at baseline; Mage = 6.4 years) with pHIV in Southeast Asia underwent neurocognitive assessment at study enrollment and twice annually thereafter for an average of 5.4 years. Neurocognitive slopes were modeled to establish two subgroups [above (n = 145) and below average (n = 140) trajectories). Gradient-boosted multivariate regressions (GBM) with five-fold cross validation were conducted to examine baseline (pre-ART) and longitudinal predictive features derived from demographic, HIV disease, immune, mental health, and physical health indices (i.e. complete blood count [CBC]). Results: The baseline GBM established a classifier of neurocognitive group designation with an average AUC of 79% built from HIV disease severity and immune markers. GBM analysis of longitudinal predictors with and without interactions improved the average AUC to 87 and 90%, respectively. Mental health problems and hematocrit levels also emerged as salient features in the longitudinal models, with novel interactions between mental health problems and both CD4+ cell count and hematocrit levels. Average AUCs derived from each GBM model were higher than results obtained using logistic regression. Conclusion: Our findings support the feasibility of machine learning to identify children with pHIV at risk for suboptimal neurocognitive development. Results also suggest that interactions between HIV disease and mental health problems are early antecedents to neurocognitive difficulties in later childhood among youth with pHIV.