Associations between negative COVID-19 experiences and symptoms of anxiety and depression: a study based on a representative Canadian national sample.

Background: Mental health issues, particularly anxiety and depression, among women of reproductive age, remain a significant public health concern, yet comprehensive studies addressing these issues are limited in Nepal. Objective: This study aimed to assess the prevalence, associated factors and wealth-related inequality of anxiety and depression symptoms among women aged 15-49 years in Nepal. Methods: Data from the Nepal Demographic and Health Survey (NDHS) 2022 included 7410 women. Logistic regression analysis was conducted to identify factors associated with anxiety, depression and combined symptoms. We also employed the concentration curve to assess wealth-related disparities with mental health outcomes. Findings: The prevalence of depression and anxiety symptoms was 5.4% (95% CI: 4.8% to 6.2%) and 7.5% (95% CI: 6.7% to 8.4%), respectively. Furthermore, 9.1% (95% CI: 8.2% to 10.1%) of the women experienced either condition, while 3.8% (95% CI: 3.3% to 4.4%) experienced both. Women with lower educational attainment, a higher number of children, unemployed partners, residents in rural areas and those living in Karnali province exhibited a higher prevalence of anxiety and depression symptoms. Women with limited mass media exposure were associated with a higher risk of anxiety and depression symptoms. Additionally, women with tobacco habits demonstrated a significantly higher risk of depression. Finally, wealth-related inequality was evident; women with lower socioeconomic status were more vulnerable to anxiety and depression symptoms. Conclusions: The study highlights the need for targeted interventions addressing socio-economic determinants and lifestyle factors, including tobacco use, to mitigate the burden of anxiety and depression symptoms among women in Nepal.

BackgroundMedical schools are globally recognized as higher education institutions requiring extreme dedication from students. The intensive nature of physician training demands heavy workloads, inconsistent sleep, and study-leisure imbalances. Such stressors are linked to poor student mental health, with anxiety and depression symptoms among the most documented disorders. These burdens negatively affect academic performance and are associated with dropout intentions, misconduct, burnout, and suicidal ideation.ObjectiveThis scoping review summarizes recent evidence on the prevalence of anxiety and depression symptoms among medical students and identifies correlated factors.MethodsThe review followed PRISMA guidelines and Arksey and O'Malley's five-stage methodological framework. Searches were conducted on July 5, 2025, in PubMed, MEDLINE, Web of Science, Scopus, and PsycINFO. Boolean operators combined terms related to prevalence, and correlates of depressive and anxiety symptoms, and medical students, limited to systematic reviews and meta-analyses published in English between January 2021 and July 2025. Sixteen studies met the inclusion criteria after screening. Data were charted for study characteristics, prevalence estimates, contributing factors, and methodological approaches.ResultsThe studies included in this review reported wide-ranging prevalence estimates, with the prevalence of depression symptoms in the included meta-analysis ranging from lowest of 18.1% to highest of 50.0% and anxiety symptoms from 17 to 54% although there was high heterogeneity in the screening instruments or measurement scales Biological sex differences in prevalence were frequently noted, with most studies reporting a higher prevalence among females; however, findings varied by region. Regional disparities were additionally observed, with some continents and countries reporting significantly higher prevalence rates than others. Factors associated with increased risk included early years of study, poor sleep quality, and academic stress. During COVID-19, most studies reported a higher prevalence of depression and anxiety symptoms than pre-pandemic levels.ConclusionsAnxiety and depressive symptoms remain widespread among medical students, driven by individual and contextual factors. Targeted interventions and early preventive strategies are urgently needed to address mental health challenges and protect student wellbeing.

Symptoms of Anxiety and Depression Among Teens and Adults in the Thalassemia Longitudinal Cohort Study.

BackgroundSignificant concerns about mental health were raised during the COVID-19 pandemic. We investigated the prevalence of depression and anxiety symptoms among the participants of the United Arab Emirates Healthy Future Study (UAEHFS); a national cohort study. We further explored the change in the prevalence of depression symptoms among those with comparable pre-pandemic data.MethodsA sample of UAEHFS participants were invited to complete a COVID-19 online questionnaire during the first wave of the pandemic. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire Depression Scale (PHQ-8) and the Generalized Anxiety Disorder-7 Scale (GAD-7) respectively. Unpaired analyses were done to examine the effect of COVID-19 on depression and anxiety symptoms during the pandemic. Paired analysis was conducted to examine the change in depression symptoms.ResultsDuring the pandemic, we reported a prevalence of 32.8% (95% CI: 27.0, 39.1) for depression and 26.4% (95% CI: 21.0, 32.6) for anxiety symptoms. Younger people reported higher levels of depression (40.4%) and anxiety (34.5%) symptoms. Females reported higher levels of depression (36.5%) and anxiety (32.7%) symptoms. In paired analysis, the prevalence of depression symptoms during the pandemic was 34% (95% CI: 26.5, 42.4) compared to 29.9% (95% CI: 22.7, 38.1) before the pandemic. No statistically significant difference was observed, p-value = 0.440. Adjusted multivariate logistic regression models for PHQ-8 and GAD-7 during the pandemic showed that participants, who were experiencing flu-like symptoms, had higher odds of reporting depression symptoms compared to those without symptoms. Additionally, age was significantly negatively associated with anxiety symptoms.ConclusionsOverall, we found that depression and anxiety symptoms were more prevalent among young people and females. However, we did not find a significant change in the prevalence of depression symptoms among those with comparable pre-pandemic data. Identifying vulnerable groups and understanding trajectories through longitudinal studies would help with planning for effective mental health interventions for the current and future pandemics.

Humanitarian migration can result in mental health issues among migrants. The objective of our study is to determine the prevalence of anxiety and depression symptoms among migrants and their risk factors. A total of 445 humanitarian migrants in the Orientale region were interviewed. A structured questionnaire was used in face-to-face interviews to collect socio-demographic, migratory, behavioral, clinical, and paraclinical data. The Hospital Anxiety and Depression Scale was used to assess anxiety and depression symptoms. Risk factors for anxiety and depression symptoms were identified using multivariable logistic regression. The prevalence of anxiety symptoms was 39.1%, and the prevalence of depression symptoms was 40.0%. Diabetes, refugee status, overcrowding in the home, stress, age between 18 and 20 years, and low monthly income were associated with anxiety symptom. The associated risk factors for depression symptoms were a lack of social support and a low monthly income. Humanitarian migrants have a high prevalence of anxiety and depression symptoms. Public policies should address socio-ecological determinants by providing migrants with social support and adequate living conditions.

During the last months of 2019, worldwide attention has focused on a pandemic of COVID-19, and the pandemic spread rapidly, becoming a public health emergency of international concern. The Chinese government has quickly taken quarantine measures and the drastic measures incurred to curtail it, which could have harmful consequences for everyone's behavior and mental health. This study aimed to investigate the correlation of influencing factors and mental health symptoms among Chinese college students according to two rounds of surveys during the COVID-19 pandemic. This study was divided into two stages of cross-sectional investigation. In February 2020 and May 2020, two cross-sectional surveys were conducted on college students in the above areas by means of cluster sampling. From February 4 to February 12, 2020, 14,789 college students completed the first round of online study from 16 cities and universities in 21 in China, excluding participants who completed the questionnaire, and finally included 11,787 college students. After 3 months, we also conducted a large-scale questionnaire survey based on the first study area to observe the behavioral changes and psychological symptoms of college students within 3 months. Using the convenience sampling method, a survey on the cognitive and psychological status of COVID-19 among college students was conducted in 21 universities in 16 regions in May 2020. The regions among the two surveys are divided into Wuhan (District 1), neighboring Hubei (District 2), first-tier cities, namely, Beijing, Shanghai and Guangzhou (District 3), and other provinces (District 4). (1) In the first survey, the average age of the participants was 20.51 ± 1.88 years. One-third of the college students were male. In total, 25.9 and 17.8% of college students reported depression and anxiety symptoms, respectively. College students, who reported higher ST, lower PA, higher soda beverage and tea beverage intake, have Chinese herbal medicine and vitamin drinking, and decreased frequency of diet had higher depression and anxiety symptoms. Moreover, infection risk, perceived resistance to COVID-19, concerns about physical symptoms, family/friends directly/indirectly contacted with confirmed cases, and seeking psychological counseling had significant associations with anxiety and depression symptoms. (2) In the second round of surveys, 6803 males (41.7%) and 9502 females (58.3%) had a mean age of 20.58 ± 1.81 years. The prevalence of depressive symptoms and anxiety symptoms during COVID-19 was 30.7 and 23.9%, respectively. (3) In both surveys, college students who reported having higher ST, lower PA, higher soda beverage and tea beverage intake, Chinese herbal medicine and vitamin drinking, and decreased frequency of diet also had higher depression and anxiety symptoms. Coping styles with COVID-19 partially mediate the association between some related lifestyle behaviors and anxiety and depression. The results of the conditional process model analysis support our hypothesis that lifestyle behaviors, and coping styles are both predictors of anxiety and depression symptoms, with both direct and indirect effects moderated by gender level. In logistic regression analysis, the correlation of depression and anxiety in the second rounds of the survey was higher than that in the first survey. In two surveys, there was a correlation between lifestyle health behaviors and coping style, gender and mental health. Our findings demonstrated that the prevalence of anxiety and depression in the two rounds of surveys was different, and the prevalence in the second round was higher than that in the first round, as well as that in the two rounds of surveys. All survey identified that unhealthy lifestyle behaviors were positively associated with depression and anxiety symptoms. Compared with the emerged city of risk areas, other pandemic regions have a lower risk of mental health problems. The survey findings complement each other. Lifestyle health behaviors and coping style alleviated mental health symptoms. COVID-19-related social stressors were positively associated with mental health symptoms. The study also suggests that at the beginning of the pandemic, the effective management of college students' mental health problems, corresponding coping measures and maintaining a good lifestyle play a key role in the prevention and control of other cities. Understanding the college students' lifestyle behaviors during COVID-19 lockdown will help public health authorities reshape future policies on their nutritional recommendations, in preparation for future pandemics.

Prevalence of depressive and anxiety symptoms in patients with head and neck cancer undergoing radiotherapy: A systematic review and meta-analysis of longitudinal studies

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting reproductive aged women. The prevalence of comorbidities associated with PCOS vary with phenotype and race. An increased risk of moderate and severe depressive and anxiety symptoms has been reported in this group. Racial differences in prevalence of mood disorders described in the general population are influenced by factors such as obesity and socioeconomic status (SES). We aimed to determine the prevalence of depression, anxiety and decreased quality of life between black and white women with PCOS and controls. We screened women (18-50 years) at an academic center from November 2015-18 using the Hospital Anxiety and Depression Scale (HADS) and PCOS quality of life survey (PCOSQ). Multivariable regression models were used to evaluate racial differences in the prevalence of depression and anxiety (HADS≥8) and mean scores for depression, anxiety and PCOSQ. Correlations between FG score, testosterone, BMI, HOMA-IR and depression, anxiety and PCOSQ scores were analyzed. Overall women with PCOS (n=272) had a higher prevalence of depressive (26% vs 17%, p<0.01) and anxiety symptoms (72% vs 52%, p<0.01) compared to controls (n=295) after adjusting for age, BMI, SES and race. Compared to black women with PCOS (n=70), white women with PCOS (n=202) had a higher prevalence of anxiety symptoms (76% vs 61%, p=0.01) and scores (10.3 +4.1 vs 8.7 +4.6, p=0.01) after adjusting for age, BMI and SES. BMI correlated with anxiety scores in white but not black women with PCOS (p<0.01). There were no racial differences in the prevalence of depressive symptoms (p=0.8) or mean scores (p=0.4). In the control group, white women (n=186) had a higher prevalence for anxiety symptoms (60% vs 47%, p=0.04) not depressive symptoms (13 % vs 18%, p=0.7) compared to black women (n=109). There were no significant differences in mean anxiety or depression scores in the controls. There were no racial differences in global PCOSQ score (110.7 +30 for white women vs 98.6 +36.1 for black women, p=0.6). On examining the individual domains of the PCOSQ, black women scored lower than white women on the emotion and infertility domain (p<0.01). There were no racial differences in the correlation between FG score, testosterone, HOMA-IR and anxiety, depression and total PCOSQ scores. This study is the first to examine racial differences in anxiety and depressive symptoms in PCOS. White women with PCOS had significantly higher anxiety symptoms compared to black women and BMI positively correlated with these symptoms. Black women however have lower scores in several PCOSQ domains indicating lower quality of life. Despite racial differences in anxiety symptoms, our study confirms the need to screen both races for anxiety and depressive symptoms given their high prevalence. Targeted interventions such as weight management may help mitigate some of these symptoms.

To investigate the prevalence of anxiety and depression symptoms in intensive care unit (ICU) patients with cardiovascular disease (CVD) and to explore which elements are risk factors for the development of anxiety and depression symptoms. A cross-sectional study. A total of 1028 ICU patients with CVD were enrolled in this cross-sectional study. Logistic regression was used to assess risk factors and associations between anxiety and depression symptoms, and mediation analysis was used to explore the effect of risk factors on the association between anxiety and depression symptoms. Reporting of the study followed the STROBE checklist. The results showed that among ICU patients with CVD, 38.1% had anxiety symptoms, 28.7% had depression symptoms and 19.3% had both anxiety and depression symptoms, and there was a significant association between anxiety and depression symptoms. We also identified female gender, hypertension, hyperlipidemia and cardiac function class IV as independent risk factors for anxiety and depression symptoms. Importantly, these factors also mediated the association between anxiety and depression symptoms, emphasising their role in the psychological well-being of this patient group. ICU patients with CVD were prone to anxiety and depression symptoms. Female gender, hypertension, hyperlipidemia and cardiac function class IV were identified as independent risk factors that also served as mediators in the relationship between anxiety and depression symptoms. Especially, cardiac function class IV emerged as a critical factor in this association. It is imperative for critical care professionals to recognize the elevated risk of depression and anxiety among ICU patients with severe CVD, especially those with cardiac function class IV, hypertension, hyperlipidemia and females. Proactive and supportive measures are essential for this vulnerable group during their ICU stay to safeguard their mental health and prevent negative outcomes. No Patient or Public Contribution.

Relationship between depressive and anxiety symptoms and fear of hypoglycemia among adolescents and adults with type 1 diabetes mellitus

This study explored the prevalence of anxiety and depressive symptoms among college students and analyzed the associations between only children and anxiety and depressive symptoms in college students in China. A total of 645 college students, from three universities in Jinan, Shandong, China, were investigated by questionnaire. The self-designed general information questionnaire was used to collect the demographic information such as gender, age, only children or not and so on. The Self-rating Anxiety Scale and Self-rating Depression Scale were used to reflect the psychological state of college students. Binary logistic regression analysis was applied to analyze associated factors of anxiety and depressive symptoms. We have found that there were 25.7% college students with anxiety symptom, 22.2% college students with depressive symptom, and 18.3% college students with a comorbidity of anxiety and depressive symptoms. The prevalence of anxiety symptom, depressive symptom, and comorbidity of anxiety and depressive symptoms in only children was higher than those among non-only children. There were no differences between males and females in anxiety symptom, depressive symptom, and comorbidity of anxiety and depressive symptoms among all college students, only child college students and non-only child college students. Only children were associated with anxiety symptom, depressive symptom, comorbidity of anxiety and depressive symptoms after adjusting potential important confounding factors, such as professional category, grade, parental relationship, parenting style, interpersonal relationship, activity participation enthusiasm, sleeping time, and eating habits. The prevalence of anxiety and depressive symptoms among college students was high. We should pay more attention to the mental health of college students, especially that of only child college students.

Chinese men who have sex with men (MSM) are at high risk for depression, anxiety and suicide. The estimated prevalence of these problems is essential to guide public health policy, but published results vary. This meta-analysis aimed to estimate the prevalence of depressive symptoms, anxiety symptoms and suicide among Chinese MSM. Systematic searches of EMBASE, MEDLINE, PsycINFO, PubMed, CNKI and Wanfang databases with languages restricted to Chinese and English for studies published before 10 September 2019 on the prevalence of depressive symptoms, anxiety symptoms, suicidal ideation, suicide plans and suicide attempts among Chinese MSM. Studies that were published in the peer-reviewed journals and used validated instruments to assess depression and anxiety were included. The characteristics of studies and the prevalence of depression and anxiety symptoms, suicidal ideation, suicide plans and suicide attempts were independently extracted by authors. Random-effects modelling was used to estimate the pooled rates. Subgroup analysis and univariate meta-regression were conducted to explore potential sources of heterogeneity. This study followed the PRISMA and MOOSE. Sixty-seven studies were included. Fifty-two studies reported the prevalence of depressive symptoms, with a combined sample of 37 376 people, of whom 12 887 [43.2%; 95% confidence interval (CI), 38.9-47.5] reported depressive symptoms. Twenty-seven studies reported the prevalence of anxiety symptoms, with a combined sample of 10 531 people, of whom 3187 (32.2%; 95% CI, 28.3-36.6) reported anxiety symptoms. Twenty-three studies reported the prevalence of suicidal ideation, with a combined sample of 15 034 people, of whom 3416 (21.2%; 95% CI, 18.3-24.5) had suicidal ideation. Nine studies reported the prevalence of suicide plans, with a combined sample of 5271 people, of whom 401 (6.2%; 95% CI, 3.9-8.6) had suicide plans. Finally, 19 studies reported the prevalence of suicide attempts, with a combined sample of 27 936 people, of whom 1829 (7.3%; 95% CI, 5.6-9.0) had attempted suicide. The mental health of Chinese MSM is poor compared with the general population. Efforts are warranted to develop interventions to prevent and alleviate mental health problems among this vulnerable population.

It remains unclear whether anxiety and depressive symptoms are more prevalent in adolescents with asthma when compared with healthy individuals. This meta-analysis aimed to evaluate the difference in the aggregate prevalence of depressive and anxiety symptoms between adolescents with asthma and healthy controls and to explore the underlying moderators that potentially explain the heterogeneity of the effect size. A meta-analysis of published work was performed using the random effects model. The differences in aggregate prevalence of depressive and anxiety symptoms between adolescents with asthma and healthy controls were determined. Meta-regression and subgroup analysis were performed to identify factors that may contribute to heterogeneity. A total of eight studies were eligible for analysis. The aggregate prevalence of depressive and anxiety symptoms was significantly higher among 3546 adolescents with asthma than that of 24,884 controls (depression, 0.27; 95% CI, 0.18.6-0.39 vs. 0.13; 95% CI, 0.09-0.19; anxiety, 0.33; 95% CI, 0.19-0.52 vs. 0.21; 95% CI, 0.12-0.33). The risk of developing depression and anxiety is significantly higher among adolescents with asthma when compared with controls (depression: pooled odds ratio, 2.09; 95% CI, 1.65-2.64; p < 0.001; anxiety: pooled odds ratio, 1.83; 95% CI, 1.63-2.07; p < 0.001). Meta-regression revealed that the proportions of Caucasian (p = 0.008) and smokers (p < 0.001) were significant moderators which explained the significant heterogeneity when comparing the risk of developing depressive symptoms among adolescent asthma patients vs. controls while age, gender, and severity of asthma were not significant. Family doctors, pediatricians, and healthcare providers should formulate strategies to detect depressive and anxiety symptoms in adolescents with asthma and offer psychological interventions to reduce the burden of psychiatric comorbidity.

BackgroundPrevious studies have suggested that the pandemic impact on mental health could vary according to gender. We aimed to evaluate the gender influence in the prevalence of depressive and anxiety symptoms in Latin American and the Caribbean (LAC) countries in the first stage of the COVID-19 pandemic.MethodsWe conducted a secondary analysis employing the Facebook–COVID-19 Symptom Survey developed by the University of Maryland. We categorized gender as men, women, and non-binary. The outcomes were the presence of anxiety or depressive symptoms, measured with two adapted questions extracted from the Kessler Psychological Distress Scale (K10). We used generalized linear models from the Poisson family, considering the survey's complex sampling. We calculated crude and adjusted prevalence ratios (PR) with their 95% confidence intervals (95% CI) and explored interactions with gender using the adjusted Wald test.ResultsWe included 1,338,320 adults from LAC countries; 48.0, 50.6, and 1.4% were men, women, and non-binary participants, respectively. The overall prevalence of anxiety or depressive symptoms was 44.8 and 46.6%, respectively. We found interactions between gender and the rest of the independent variables. In the non-binary group, the association between age and anxiety symptomatology was lost after an age of 55 years. Furthermore, whereas living in a town was associated with a lower prevalence of anxiety and depression symptomatology in men and women, this did not happen among non-binary individuals. Compliance with physical distancing was associated with a lower prevalence of anxiety and depression symptomatology among women (anxiety: PRa = 0.98; 95% CI = 0.97–0.99; p < 0.001, depression: PRa = 0.96; 95% CI = 0.95–0.97; p < 0.001) and only anxiety in non-binary participants (anxiety: PRa = 0.92; 95% CI = 0.88–0.98; p = 0.005). This was not evidenced among men participants (anxiety: PRa = 0.99; 95% CI = 0.96–1.01; p = 0.199, depression: PRa = 0.98; 95% CI = 0.96–1.00; p = 0.084). In addition, compliance with handwashing was associated with a higher prevalence of anxiety symptomatology among men (PRa = 1.06; 95% CI = 1.05–1.11; p < 0.001) and women participants (PRa = 1.03; 95% CI = 1.01–1.05; p = 0.016).ConclusionApproximately 4 out of 10 participants had anxiety or depressive symptoms. Women and non-binary gender people had more symptoms of anxiety or depression. The factors associated with these symptoms varied according to gender. It is essential to evaluate gender-related strategies to improve mental health during the COVID-19 pandemic.

BackgroundAs a result of the coronavirus disease 2019 (COVID-19) outbreak, many countries have imposed movement restrictions and implemented lockdowns. However, evidence from a variety of nations showed that the COVID-19 outbreak and its associated quarantine measures triggered a wide range of psychological problems, such as anxiety, depression, and stress in the general population. As a result, the purpose of this study was to determine the prevalence and predictors of depression, anxiety, and stress symptoms among Tepi town residents during the pandemic lockdown.MethodologyA community-based cross-sectional survey was conducted among residents of Tepi town from September 15 through September 25, 2020, and residents who have lived in Tepi town for at least 6 months were included. We have employed the depression, anxiety, and stress scale 21 (DASS-21) to evaluate depression, anxiety, and stress. The Chi-squared test of association and logistic regression were used to identify factors associated with depression, anxiety, and stress among residents of Tepi town. For all statistical analysis, we used (IBM) SPSS version 25.ResultsAccording to the current study, the prevalence of depression, anxiety, and stress symptoms were 37.7%, 39.0%, and 44.2%, respectively, among residents of Tepi town. Estimated odds of having depression, anxiety, and stress were as follows: for being female 6.315, 4.591, and 3.155; smoking 1.787, 1.883, and 1.787; sleep problem 2.613, 2.254, and 1.721; chewing Khat 2.156, 2.053, and 2.110; quarantine for 14 days 2.251, 1.902, and 1.960; and frequent use of social media 3.126, 1.849, and 3.126 times more likely as compared to their corresponding reference group respectively. The odds of developing depression and anxiety respectively were as follows: for alcohol consumption 2.438 and 1.797 times higher than their corresponding reference group respectively. Those exposed to COVID-19 were 3.870 times more likely to develop depression symptoms. Estimated odds of having anxiety and stress symptoms for fear of COVID-19 were 1.776 and 1.835; social interactions altered were 3.197 and 2.069, moderate levels of hope were 2.687 and 2.849 respectively. The odds ratio for those taking traditional preventive medicine, and having family members infected with COVID-19 were 2.475 and 1.837 times more likely to experience anxiety symptoms respectively.ConclusionIn this study, the prevalence of depression, anxiety, and stress symptoms was found to be high among residences in Tepi town. Being female, chewing Khat, smoking, being quarantined for 14 days, frequently using social media, and having sleeping problems were all found to be significantly associated with an increased risk of developing depression, anxiety, and stress symptoms, whereas alcohol consumption and family members infected by COVID-19 were considerably linked to depression and anxiety symptoms. Fear of COVID-19, influence on social interaction and having a moderate level of hope were substantially related to stress and anxiety symptoms, while taking preventive medicine was found to be a significant factor in anxiety symptoms among Tepi town residences. Interventions should be made to improve the mental health of Tepi residents.