METHOD: This research was carried out on a sample of 263 participants (age range 12-24 years old), from Klang Valley, Selangor. The survey package comprises demographic information, a measure of reasons for living, social support, depression, anxiety and stress. To analyse the data, correlation analysis and a series of linear multiple regression analysis were carried out.

RESULTS: Findings showed that there were low negative relationships between all subdomains and the total score of reasons for living and depression. There were also low negative relationships between domain-specific of social support (family and friends) and total social support and depression. In terms of the family alliance, self-acceptance and total score of reasons for living, they were negatively associated with anxiety, whereas family social support was negatively associated with stress. The linear regression analysis showed that only future optimism and family social support found to be the significant predictors for depression. Family alliance and total reasons for living were significant in predicting anxiety, whereas family social support was significant in predicting stress.

OBJECTIVE: This study aims to assess the mean prevalence and associated sociodemographic and clinical factors of anxiety symptoms in women newly diagnosed with breast cancer. It also aims to determine independent predictors of anxiety risk.

METHODS: An analysis of 162 newly diagnosed breast cancer patients at the oncology institute in Almaty was performed. Data were collected using a structured questionnaire on social, demographic, and clinical information, as well as the Beck Anxiety Inventory. In addition, multiple regression analysis was used to model the relationship between anxiety risk and independent predictors.

RESULTS: The average age of the patients was 54.41 years (SD=8.1; min.-max: 32-75). The majority of the patients were married (52%), employed or self-employed (51%), had children (91%), had a bachelor's or a graduate degree (50%), lived in an urban area (54%), did not drink (41%), did not smoke (67%), did not engage in physical activity (54%), and had social support (91%). A total of 48% of patients had symptoms of moderate anxiety, and 33% had symptoms of severe anxiety. Based on the multivariate analysis, factors associated with a lower risk of anxiety symptoms included higher household income (OR -2.21 (95 CI: -1.35, -3.07)) and having reliable social support (OR -2.93 (95% CI: -2.25, -3.61)).

METHODS: We collected data from 1583 citizens from four countries via an online survey between October 14 and November 2, 2020. We gathered demographic data and measured mental distress (depression, anxiety, and stress) and fear of COVID-19. Data on sense of control, ego-resilience, grit, self-compassion, and resilience indicators were also collected.

RESULTS: Sense of control was negatively associated with mental distress in all four countries. Self-compassion was negatively associated with mental distress in the samples from Japan, China, and the U.S. We also found an interaction effect for sense of control: the lower the sense of control, the stronger the deterioration of mental distress when the fear of COVID-19 was high.

LIMITATIONS: This study's cross-sectional design precludes causal inferences. Further, lack of data from people who were actually infected with the virus limits comparisons of people who were and were not infected. Finally, as this study only compared data from four countries, comparisons with more countries are needed.

METHODOLOGY: An online cross-sectional study was conducted via non-probabilistic convenience sampling. Data were collected on sociodemographic characteristics, lifestyle, COVID-19 related influences. Mental health status was assessed with depression, anxiety, and stress scale (DASS-21).

RESULTS: 388 students participated this study (72.4% female; 81.7% Bachelor's student). The prevalence of moderate to severe depression, anxiety and stress among university students are 53.9%, 66.2% and 44.6%, respectively. Multivariable logistic regression analysis found that the odds of depression were lower among students who exercise at least 3 times per week (OR: 0.380, 95% CI: 0.203-0.711). The odd ratio of student who had no personal history of depression to had depression, anxiety and stress during this pandemic was also lower in comparison (OR: 0.489, 95% CI: 0.249-0.962; OR: 0.482, 95% CI: 0.241-0.963; OR: 0.252, 95% CI: 0.111-0.576). Surprisingly, students whose are currently pursuing Master study was associated with lower stress levels (OR: 0.188, 95% CI: 0.053-0.663). However, student who had poorer satisfaction of current learning experience were more likely to experience stress (OR: 1.644, 95% CI: 1.010-2.675).

LIMITATIONS: It is impossible to establish causal relationships between variables on mental health outcomes, and there is a risk of information bias.

METHODS: This was an observational, cross-sectional study with a sample size of 417 students. An online survey utilizing International Physical Activity Questionnaire-Short Form (IPAQ-SF), General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) was distributed to Universiti Tunku Abdul Rahman students via Google forms.

RESULTS: During lockdown, family income [χ2 (1, n = 124) = 5.155, p = 0.023], and physical activity (PA) [χ2 (1, n = 134) = 6.366, p = 0.012] were associated with anxiety, while depression was associated with gender [χ2 (1, n = 75) = 4.655, p = 0.031]. After lockdown, family income was associated with both anxiety [χ2 (1, n = 111) = 8.089, p = 0.004], and depression [χ2 (1, n = 115) = 9.305, p = 0.002]. During lockdown, family income (OR = 1.60, p = 0.018), and PA (OR = 0.59, p = 0.011) were predictors for anxiety, while gender (OR = 0.65, p = 0.046) was a predictor for depression. After lockdown, family income was a predictor for both anxiety (OR = 1.67, p = 0.011), and depression (OR = 1.70, p = 0.009).