Introduction: With the rapid increase in the prevalence of the Internet and/or smartphone usage worldwide in the last decade, engagement in internet gaming and social media may be problematic and may lead to negative consequences on mental and physical health among young adults. The main objectives of the present study are (1) to investigate how internet gaming and social media impact on physical activity, sleep quality, quality of life (QoL), and academic performance of university students in Hong Kong and (2) to investigate how physical activity and sleep associate with QoL and academic performance of university students in Hong Kong. Methods: This study employed a longitudinal design with 3-month duration. Hong Kong university students (n = 15; 4 males; mean age = 26.87 years) completed the questionnaires, wore a device to measure their physical activity and sleep, provided screen time data showing the time usage of applications on gaming and social media categories, and academic transcript for the study. Results: Internet gaming was negatively correlated with physical activity and psychological QoL (r _s = −0.49 to −0.62); social media use was negatively correlated with physical activity and sleep quality (r _s = −0.48 to −0.63); internet gaming and smartphone addiction were negatively correlated with academic performance (r _s = −0.51 to −0.53); physical activity was positively correlated with psychological QoL (r _s = 0.49). Conclusion: The results emphasized that internet gaming and smartphone addiction tend to have negative impact on physical activity, psychological QoL, sleep, and academic performance. The findings may be regarded as a direction for health-care providers to develop and evaluate the intervention to treat the specific type of internet/smartphone overuse.

Given the negative consequences of weight bias, including internalized weight stigma, on health outcomes, two instruments-the Weight Self-Stigma Questionnaire (WSSQ) and Weight Bias Internalization Scale (WBIS)-have been developed. However, their psychometric properties are yet to be tested for Asian pediatric populations. Participants aged 8 to 12 years (N = 287; 153 boys) completed the WSSQ and the WBIS, and they were classified into either a group with overweight or a group without overweight based on self-reported weight and height. Both WSSQ and WBIS had their factor structures supported by confirmatory factor analyses (CFAs). The measurement invariance of two-factor structure was further supported for WSSQ across gender and weight status. The measurement invariance of single-factor structure was supported for WBIS across gender but not across weight status. WSSQ and WBIS were both valid to assess the internalization of weight bias. However, the two instruments demonstrated different properties and should be applied in different situations.

Background:Social distancing and school suspension due to the coronavirus pandemic (COVID-19) may have a negative impact on children's behavior and well-being. Problematic smartphone use (PSU), problematic social media use (PSMU) and perceived weight stigma (PWS) are particularly important issues for children, yet we have a poor understanding of how these may have been affected by lockdowns and physical isolation resulting from COVID-19. This research aimed to understand how these psychosocial and behavioral variables may be associated with psychological distress, and how these associations may have changed during the COVID-19 pandemic.Methods:A total of 489 children completed a three-wave longitudinal study from January 2020 to June 2020. The first wave was conducted before the COVID-19 outbreak. The second wave was conducted during the outbreak. The third wave was conducted during post-COVID-19 lockdown. Questionnaires measured psychological distress, PSU, PSMU, and PWS.Results:PSU, PSMU, PWS and psychological distress were all significantly associated with each other. PSU was significantly higher during outbreak. PWS was significantly higher before outbreak. We found an increased association between PSMU and PWS across three waves in all three models. The association between PSU and depression/anxiety decreased across three waves; however, association between PSMU and depression/anxiety increased across three waves.Conclusions:COVID-19 initiated school suspension and associated lockdowns appear to have exacerbated PSU and depression among children. However, PWS was reduced during this period. Children should use smartphones and social media safely and cautiously, and be aware of the potential exposure to weight stigmatization.

Physical inactivity is a common health problem in female college students, and factors such as weight self-stigma and smartphone addiction may negatively impact physical activity in this population. The aim of the current study was to investigate the associations between these variables and identify the moderating effects of smartphone addiction between weight stigma and physical activity. Using a cross-sectional study, information on the level of physical activity in the past week, weight-related self-stigma, and smartphone addiction, as well as demographics, were collected via an online survey from 391 female college students in Taiwan. Participants in two groups of moderate to high and low physical activity were compared using a zero-order bivariate correlation in terms of independent variables. A moderated mediation model using Model 14 in the Hayes’ PROCESS macro with 1000 bootstrapping resamples was applied to assess moderation effects. There were significant differences in terms of weight status, smartphone addiction, and weight stigma between active and inactive groups (p < 0.001). All independent variables except for age were positively correlated (0.14 < r < 0.45). Multivariate regression models indicated that weight status was associated with weight stigma (odds ratio [OR] = 9.13, p < 0.001; 95% CI = 6.90, 11.35). Weight status (OR = 0.47, p = 0.03; 95% CI = 0.23, 0.93), weight stigma (OR = 0.96, p = 0.03; 95% CI = 0.922, 0.997), and smartphone addiction (OR = 0.11, p = 0.003; 95% CI = 0.03, 0.47) were associated with physical activity. The moderating role of smartphone addiction on the association between weight stigma and physical activity was also identified (OR = 1.05, p = 0.049; 95% CI = 1.0001, 1.1004). The moderating effect of smartphone addiction on the association between weight stigma and physical activity suggests that designing interventions to address the negative impacts of both weight stigma and smartphone addiction may help to improve physical activity in female college students.