Physical activity virtual intervention for improving mental health among university students during the COVID-19 pandemic: A Co-creation process and evaluation using the Behavior Change Wheel

Sofro, Zaenal Muttaqien; Wibowo, Rakhmat Ari; Wasityastuti, Widya; Kusumadewi, Andrian Fajar; Utomo, Prattama Santoso; Ekawati, Fitriana Murriya; Putri, Rayhani Erika; Aldrin, Enrique; Fatmawati, Jihan Santika; Chang, Trisha Cheeren; Pratista, Muhammad Ivan; Agustiningsih, Denny

doi:10.1016/j.heliyon.2023.e18915

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…The results of the present study demonstrated that less physical activity and frequent insomnia were more commonly seen among the clinical therapists who suffered from depression, anxiety, and stress. Previous studies have documented the relationship between regular physical activity (52,53), frequent insomnia (10,11) and mental health. Physical activity is widely recognized as a protective factor against mental health problems (30, 54, 55).…”

Section: Health-related Behaviors and Depression Anxiety And Stressmentioning

confidence: 99%

“…Physical activity at any level could buffer against the effects of work intensity and alleviate the effect of working hours or working days on depression symptoms, which might offer a helpful strategy for improving mental health problems in different populations (55,57). For example, one study on the relationship between physical activity and mental health after the onset of the COVID-19 found that physical activity by 52.5 min of moderate-intensity physical activity per week effectively reduced mental distress (52). Our data indicate that physical activity may aid in the control of the burden of mental health problems as a consequence of the COVID-19 pandemic in China, and people who experience high levels of depression, anxiety and stress due to the pandemic may benefit from regular physical activity (55,58).…”

Section: Health-related Behaviors and Depression Anxiety And Stressmentioning

confidence: 99%

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Prevalence and associated factors of depression, anxiety and stress among clinical therapists in China in the context of early COVID-19 pandemic

Tao,

Li,

Min

et al. 2024

Front. Psychiatry

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ObjectivesTo study the socio-demographic characteristics and the prevalence of depression, anxiety, and stress among clinical therapists in China during the early Coronavirus disease 2019 (COVID-19) pandemic and to identify associated factors.MethodThis cross-sectional study was part of a multicenter, nationally representative survey conducted through WeChat from January 2021 to March 2021. Data, including socio-demographics, health-related behaviors, and information on whether they participated in the frontline work of treating COVID-19, were collected anonymously. Respondents also completed the Depression Anxiety Stress Scales-21 (DASS-21).ResultsIn total, 396 clinical therapists in the selected hospitals completed the questionnaires, with a response rate of 89.0%. Respondents were predominantly female (77.3%). About 6.6% of the participants were current tobacco users, and 20.7% had participated in the frontline work of treating COVID-19. Overall, 22.0%, 17.9%, and 8.8% of participants were classified as having clinically meaningful depression, anxiety, and stress, respectively, based on DASS-21 scores. Multiple logistic regression in Model 1 and Model 2 showed that depression, anxiety, and stress were associated with regular physical activity and frequent insomnia (all, p < 0.05). In anxiety model 2, the associated factors for anxiety during the pandemic were identified as education (master’s degree or more, OR=0.520; 95% CI=0.283-0.955), marital status (single, OR=2.064; 95% CI=1.022-4.168), tobacco use (OR=4.265; 95% CI=1.352-13.454), regular physical activity (OR=0.357; 95% CI=0.192-0.663), frequent insomnia (OR=6.298; 95% CI =2.522-15.729), and participation in the frontline work of treating COVID-19 (OR=3.179; 95% CI=1.697-5.954). The COVID-19 epidemic did not significantly increase the depression and stress levels among clinical therapists, but it did significantly increase anxiety levels.ConclusionDuring the COVID-19 pandemic, depression, anxiety and stress were relatively common among clinical therapists in China. Regular physical activity and good sleep were important protective factors against emotional problems. Therefore, encouraging regular physical activity and actively addressing clinical therapists’ sleep problems is beneficial to improving the ability to cope with negative emotions. The COVID-19 epidemic significantly increased anxiety, and awareness and interventions should be recommended to reduce anxiety among clinical therapists during the COVID-19 pandemic.

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Section: Health-related Behaviors and Depression Anxiety And Stressmentioning

confidence: 99%

Section: Health-related Behaviors and Depression Anxiety And Stressmentioning

confidence: 99%

Prevalence and associated factors of depression, anxiety and stress among clinical therapists in China in the context of early COVID-19 pandemic

Tao,

Li,

Min

et al. 2024

Front. Psychiatry

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Towards active health: A study on the relationship between physical activity and body image among college students

Zhang,

Liu,

Wang

et al. 2024

Heliyon

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Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review

Drira,

Ben Hassine,

Zhang

et al. 2024

Applied Sciences

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This study conducts an ethics-centered analysis of the AI/ML models used in Student Mental Health (SMH) research, considering the ethical principles of fairness, privacy, transparency, and interpretability. First, this paper surveys the AI/ML methods used in the extant SMH literature published between 2015 and 2024, as well as the main health outcomes, to inform future work in the SMH field. Then, it leverages advanced topic modeling techniques to depict the prevailing themes in the corpus. Finally, this study proposes novel measurable privacy, transparency (reporting and replicability), interpretability, and fairness metrics scores as a multi-dimensional integrative framework to evaluate the extent of ethics awareness and consideration in AI/ML-enabled SMH research. Findings show that (i) 65% of the surveyed papers disregard the privacy principle; (ii) 59% of the studies use black-box models resulting in low interpretability scores; and (iii) barely 18% of the papers provide demographic information about participants, indicating a limited consideration of the fairness principle. Nonetheless, the transparency principle is implemented at a satisfactory level with mean reporting and replicability scores of 80%. Overall, our results suggest a significant lack of awareness and consideration for the ethical principles of privacy, fairness, and interpretability in AI/ML-enabled SMH research. As AI/ML continues to expand in SMH, incorporating ethical considerations at every stage—from design to dissemination—is essential for producing ethically responsible and reliable research.

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Physical activity virtual intervention for improving mental health among university students during the COVID-19 pandemic: A Co-creation process and evaluation using the Behavior Change Wheel

Cited by 3 publications

References 56 publications

Prevalence and associated factors of depression, anxiety and stress among clinical therapists in China in the context of early COVID-19 pandemic

Prevalence and associated factors of depression, anxiety and stress among clinical therapists in China in the context of early COVID-19 pandemic

Towards active health: A study on the relationship between physical activity and body image among college students

Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review

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