Objective: To provide an overview of what is known about the impact of COVID-19 on weight and weight-related behaviors. Methods: Systematic scoping review using the Arksey and O’Malley methodology. Results: A total of 19 out of 396 articles were included. All studies were conducted using online self-report surveys. The average age of respondents ranged from 19 to 47 years old, comprised of more females. Almost one-half and one-fifth of the respondents gained and lost weight during the COVID-19 pandemic, respectively. Among articles that examined weight, diet and physical activity changes concurrently, weight gain was reported alongside a 36.3% to 59.6% increase in total food consumption and a 67.4% to 61.4% decrease in physical activities. Weight gain predictors included female sex, middle-age, increased appetite, snacking after dinner, less physical exercise, sedentary behaviors of ≥6 h/day, low water consumption and less sleep at night. Included articles did not illustrate significant associations between alcohol consumption, screen time, education, place of living and employment status, although sedentary behaviors, including screen time, did increase significantly. Conclusions: Examining behavioral differences alone is insufficient in predicting weight status. Future research could examine differences in personality and coping mechanisms to design more personalized and effective weight management interventions.

Our review explores the effectiveness of resilience interventions on improving resilience, reducing depressive symptoms, and overcoming stress symptoms among higher education students. We conducted a systematic search in 10 electronic English and Chinese language databases. Twenty-nine randomized, controlled trials (RCTs) met the inclusion criteria and were included in this review. Effect sizes from 25 RCTs were calculated for meta-analysis and metaregression. The results of a random effects model reveal that resilience interventions are effective in improving resilience with small effect size (g = .32, 95% CI [.15, .49]), reducing depressive symptoms with small effect size (g = .25, 95% CI [.06, 44]), and overcoming stress (g = .22, 95% CI [.08, .32]). Subgroup analyses conclude that effect sizes of resilience interventions comprising skills that enhance social competency are statistically significantly larger than those of interventions without. In addition, the effect sizes are larger when resilience interventions used synchronous communication and delivered through a mixture of didactic and dialectic approaches. Metaregression reveals that trials rated with low scores in the Medical Education Research Study Quality Instrument considerably influence scores in resilience. Our meta-analysis supports the use of resilience interventions as a universal prevention strategy among higher education students. This review ends with implications for practice and directions for further research on developing resilience interventions. Educational Impact and Implications StatementThe results of this meta-analysis concluded that resilience interventions can potentially build resilience and reduce depressive and stress symptoms among higher education students. Interventions were more effective when they focused on building students' social competency, used synchronous communication, and delivered through a mixture of didactic and dialectic approaches.

Background Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective This study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care. Methods A systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science for studies that were published from inception until June 21, 2021. Articles that were not specific to AI, not research studies, and not written in English were omitted. Results Of the 3666 articles retrieved, 26 (0.71%) were eligible and included in this review. The mean age of the participants ranged from 30 to 72.6 years, the proportion of men ranged from 0% to 73.4%, and the sample sizes for primary studies ranged from 11 to 2780. The perceptions and needs of various populations in the use of AI were identified for general, primary, and community health care; chronic diseases self-management and self-diagnosis; mental health; and diagnostic procedures. The use of AI was perceived to be positive because of its availability, ease of use, and potential to improve efficiency and reduce the cost of health care service delivery. However, concerns were raised regarding the lack of trust in data privacy, patient safety, technological maturity, and the possibility of full automation. Suggestions for improving the adoption of AI in health care were highlighted: enhancing personalization and customizability; enhancing empathy and personification of AI-enabled chatbots and avatars; enhancing user experience, design, and interconnectedness with other devices; and educating the public on AI capabilities. Several corresponding mitigation strategies were also identified in this study. Conclusions The perceptions and needs of AI in its use in health care are crucial in improving its adoption by various stakeholders. Future studies and implementations should consider the points highlighted in this study to enhance the acceptability and adoption of AI in health care. This would facilitate an increase in the effectiveness and efficiency of health care service delivery to improve patient outcomes and satisfaction.

Resilience has been documented as an essential component in managing stress. However, understanding how undergraduate students with different sociodemographic characteristics perceive resilience remains understudied. This study aimed to explore how undergraduate students in one university define and build resilience during the COVID-19 pandemic. Students’ perception and preferences for receiving resilience training were additionally solicited. A descriptive qualitative cross-sectional study was conducted. Twenty-seven students were interviewed using a semi-structured interview guide via Skype instant messaging. The thematic analysis generated five themes: resilience as enduring and withstanding; the building blocks of resilience; resilience: learning or earning; pedagogical considerations for resilience training; and a blended platform for resilience training. Participants described resilience as an enduring and withstanding trait essential for university students. Resilience can be built from intrinsic and extrinsic factors. Intrinsic factors that enhanced resilience included desire to succeed and motivation. Extrinsic factors were relational in nature, and friends, family, teachers, and religion were found to boost resilience. Students had several recommendations in designing resilience training, and they recommended the use of a blended platform. Further, students suggested the use of videos, narratives from resilient individuals, and using reflective practice as a pedagogy in resilience training. Future resilience training should consist of personal and interpersonal factors and should be introduced early during the academic term of students’ university life. As the COVID-19 pandemic compounds an already challenging academic climate, this study lends it findings to expand the resilience literature and develop future resilience training.

The aim of this study was to identify current research on turning frequencies of adult bed-bound patients and inform future turning practices for hospitals based on evidence-based practice. We undertook a scoping review framework that provided a transparent and systematic methodology using 8 electronic databases (CINAHL, PubMed, Cochrane Library, ScienceDirect, PsycINFO, Scopus, ProQuest, and Web of Science) to identify articles published from 2000 to 2016. Articles were included if they focused on the prevention of hospital-acquired pressure ulcers related to the frequency of turning or repositioning of bed-bound patients. Literature search and data extraction were performed independently by 3 authors. The study followed the PRISMA guidelines. In total, 911 articles were identified, of which 10 were eligible. Of the eligible articles, 8 studies could not reach a conclusion on the effective frequency of turning and duration for repositioning patients to prevent the development of pressure ulcers. Only 2 studies found significant differences among the intervention and control groups. Results regarding turning and repositioning schedules are inconclusive; however, the topic needs further exploration to improve the outdated guidelines surrounding pressure ulcer prevention. This may, in turn, make the work of nurses more efficient and make treatment cost-effective for both the patients and the hospitals.