Prevalence Of Depression Research Articles

Linking housing, socio-demographic, environmental and mental health data at scale

Mental disorders are a growing problem worldwide, putting pressure on healthcare systems and wider society. Anxiety and depression are estimated to cost the global economy US$1 trillion per year, yet only 2% of global median government healthcare expenditure goes towards mental health. There is growing evidence linking housing, socio-economic status and local environmental conditions with mental health inequalities. The aim of this paper is to link several open-access datasets at the local area level (N = 32,844) for England to clinical mental health metrics and describe initial statistical findings. Two mental health metrics were used: Small Area Mental Health Index (SAMHI) and diagnosed depression prevalence. To demonstrate the utility of the longitudinal mental health data, changes in depression prevalence were investigated over two study periods (2011–19, i.e. austerity; and 2019–22, i.e. COVID-19). These data were linked to housing data (energy efficiency, floor area, year built, type and tenure) from Energy Performance Certificates (EPCs); socio-demographic data (age, sex, income and education deprivation, household size) from administrative records; and local environment data (winter temperature, air pollution and access to green space). The linked dataset provides a useful resource with which to investigate the social and environmental determinants of mental health. Practice relevance Initial observations of the data revealed a non-linear relationship between home energy efficiency (EPC band) and the mental health metrics, with depression prevalence higher in local areas where the mode EPC bands were C and D, compared with B and E. Researchers can further investigate this relationship using the dataset through robust statistical analysis, adjusting for confounding variables. National and local governments may use the dataset to help allocate resources to prevent and treat mental health conditions. Practitioners can map and interrogate the data to describe their local areas and make preliminary conclusions about the relationships between the built environment and mental health. This preliminary analysis of the data demonstrated a gradient in SAMHI and depression prevalence with income and employment deprivation at the local area level.

Changes in depression symptoms over 10 years after TBI; a long-term prospective study

ABSTRACT Objective Evaluate the prevalence and risk factors associated with depression symptoms at 10 years after traumatic brain injury (TBI) and compare with results at 10 weeks and 1 year. Methods A large cohort of prospective admissions with TBI were followed up for 10 years. Depression using HADS (Hospital Anxiety and Depression Scale) score > 8 was measured. Several injury and demographic features were examined for association with depression. Results Over 4 years, 1130 individuals were recruited of whom 916 attended at 1 year; after 10 years, 552 attended and 210 had died. 154 (17%) of the cohort was lost to follow-up. The prevalence of depression at 10 weeks was 56.3% [95%CI 52.2–60.5], at 1 year was 42.4% [95%CI 38.3–46.5] and 10 years 38.4% [95%CI 34.3–42.5]. There was considerable change in individual scores over time in both directions. A multivariable analysis identified the independent predictors of 10-year depression score as lower GCS, social deprivation, female gender, past psychiatric history, alcohol intoxication and unemployment. Age, ethnicity, social support, TBI etiology, CT abnormality and medical comorbidity were insignificant. Conclusions While the overall level of symptoms at 10-year post-TBI remains high, there is considerable change in individual depression status over time. The predictors identified may allow the targeting of vulnerable sub-populations.

Predictive factors for the development of depression in children and adolescents: a clinical study.

The prevalence of depression among adolescents has been gradually increasing with the COVID-19 pandemic, and the purpose of this study was to develop and validate logistic regression models to predict the likelihood of depression among 6-17 year olds. We screened participants from the National Center for Health Statistics (NCHS) in 2022. Independent risk factors were identified via univariate logistic regression analyses and least absolute shrinkage and selection operator (LASSO) for feature screening. Area under the curve (AUC) and decision curve analysis (DCA) were used to compare the predictive performance and clinical utility of these models. In addition, calibration curves were used to assess calibration. Multivariate logistic regression analyses revealed that risk factors for depression included girls, higher age, treated/judged based on race/ethnicity, ever lived with anyone mentally ill, experienced as a victim of/witnessed violence, and ever had autism, ever had attention-deficit disorder (ADD), etc. Afterwards, the results are visualized using a nomogram. The AUC of the training set is 0.731 and the AUC of the test set is 0.740. Also, the DCA and calibration curves demonstrate excellent performance. Validated nomogram can accurately predict the risk of depression in children and adolescents, providing clues for clinical practitioners to develop targeted interventions and support.

Relationship between personality and adolescent depression: the mediating role of loneliness and problematic internet use

BackgroundPrevious research has indicated that personality traits, loneliness, and problematic internet use (PIU) significantly contribute to the prevalence of adolescent depression. However, the specific interrelationships among these variables in explaining the occurrence of depression remain unclear. Drawing upon susceptibility theory and cognitive-behavioral theory, this study explored whether personality traits influences adolescent depression through loneliness and PIU.MethodsA total of 2476 adolescents (aged 12–18) from all over the country completed a psycho-social test, including the 10-Item Big Five Personality Inventory (BFI-10), three-Item Loneliness Scale (T-ILS), Problematic Internet Use Questionnaire-Short Form (PIUQ-SF-6) and the Patient Health Questionnaire-9 (PHQ-9). The mediation model was built and bootstrap method was used to test the mediating effect.ResultsResults showed that neuroticism, conscientiousness, openness, and agreeableness have a direct role on depression. Loneliness and PIU partially mediated the relationship between neuroticism, conscientiousness, agreeableness and depression, and completely mediated the relationship between extroversion and depression.ConclusionsThe results suggest that loneliness and PIU play important mediating roles in the relationship between personality traits and depression. This remind us that alleviating sense of loneliness and reducing overuse of the internet are a strategy for improve depression among adolescents.

Depression, anxiety, psychological distress, and perceived social support among Ugandan palliative care providers during the COVID-19 pandemic.

To identify the prevalence of depression, anxiety, and psychosocial distress among Ugandan palliative care providers during the COVID-19 pandemic, measure providers' perceived levels of social support, and identify factors affecting a provider's likelihood of being depressed, anxious, distressed, or perceiving various levels of social support. Data was collected from 123 palliative care providers using an online survey. Depression, anxiety, and psychological distress were measured using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Self-Reporting Questionnaire, respectively. Information on perceived level of social support was gathered through the Multidimensional Scale of Perceived Social Support. The survey also asked about mental health resources available to providers at their place of work and what resources are still needed. Participants ranged in age, gender, religion, marital status, clinical position, and years of experience in palliative care. Results indicate that 20% of respondents show signs of moderate to severe depression, 14% show signs of moderate to severe anxiety, and 33% show signs of psychological distress. Additionally, 50% of respondents reported a low total level of social support. Depression, anxiety, and psychological distress scores were all negatively correlated with perceived social support scores. Over 50% expressed a desire for additional mental health resources at their place of work. In 2021-2022, the severity of depression, anxiety, and psychological distress varied among palliative care providers in Uganda, with some experiencing moderate to severe mental health effects. Higher degrees of depression, anxiety, and psychological distress were correlated with lower levels of perceived social support, highlighting the importance of social support during times of crisis. The results highlight a desire for improved access to mental health resources and will help providers and organizations provide better support and better prepare for future crises.

The association between religiosity, suicidality, psychological distress, and quality of life among breast cancer patients, an example of a Middle Eastern population.

The study aimed to explore the relationship between religiosity, psychological distress, and quality of life (QOL) in Saudi breast cancer patients. Utilizing a multi-center cross-sectional design, 277 patients were recruited. Patients completed questionnaires assessing religiosity, depression, anxiety, suicidality, and QOL. Results revealed a high prevalence of depression (35.7%) and anxiety (18.1%), with no significant variations in internal religiosity across different health stages, despite high levels of perceived social support. Suicidal ideation was reported by a small proportion of patients (2.5%). Multivariate analysis identified anxiety, therapy side effects, and breast symptoms as significant predictors of depression, while depression and previous psychiatric treatment predicted anxiety levels. QOL assessments indicated that body image received the highest satisfaction ratings, while sexual function received the lowest. These findings highlight the critical need for integrated mental health support in the treatment regimen of breast cancer patients.

Association between empty nose syndrome and laryngopharyngeal reflux disease: a preliminary cohort study.

To investigate the association between laryngopharyngeal reflux disease (LPRD) and Empty Nose Syndrome (ENS). Nasal and laryngopharyngeal reflux symptoms were investigated in patients with ENS. Symptoms were evaluated with reflux symptom score-12 (RSS-12), nasal obstruction symptom evaluation (NOSE), empty nose syndrome 6-item questionnaire (ENS6Q), empty nose syndrome index (ENSI), and sinonasal outcome tool-22 (SNOT-22). The anxiety and depression were assessed with the general anxiety disorder-7 (GAD-7), and patient health questionnaire-9 (PHQ-9). A study of association was conducted between demographics and patient-reported outcome questionnaires. Forty-one ENS patients were included (20 females (48.8%)). The control groups included 27 patients with rhinitis/rhinosinusitis and 36 asymptomatic individuals. The ENSI and ENS6Q detected ENS in 97.6% and 90.2% of cases, respectively. The mean scores of ENSI, ENS6Q, RSS-12, NOSE, and SNOT-22 were significantly higher in the ENS group compared to controls. The prevalence of suspected LPRD was 90.2% in the ENS group, which was significantly higher compared to controls. The prevalence of mild, moderate, moderately severe, and severe depression in ENS patients was 7.3% (n = 3), 4.9% (n = 2), 39.0% (n = 16), and 46.3% (n = 19), respectively. RSS-12 reported significant and high associations with the ENS6Q (rs=0.939; p = .001) and ENSI (rs=0.699; p = .001). LPRD symptoms and prevalence were significantly higher in ENS patients compared to controls. Future controlled studies are needed to investigate the prevalence of LPRD in ENS patients through objective approaches (impedance-pH monitoring, nasal digestive enzyme measurements).

Associations between plasma markers and symptoms of anxiety and depression in patients with breast cancer

Background and purposeAmong patients with solid tumors, those with breast cancer (BC) experience the most severe psychological issues, exhibiting a high global prevalence of depression that negatively impacts prognosis. Depression can be easily missed, and clinical markers for its diagnosis are lacking. Therefore, this study in order to investigate the diagnostic markers for BC patients with depression and anxiety and explore the specific changes of metabolism.Method and resultsThirty-eight BC patients and thirty-six matched healthy controls were included in the study. The anxiety and depression symptoms of the participants were evaluated by the 17-item Hamilton Depression Scale (HAMD-17) and Hamilton Anxiety Scale (HAMA). Plasma levels of glial fibrillary acidic protein (GFAP) and lipocalin-2 (LCN2) were evaluated using enzyme linked immunosorbent assay, and plasma lactate levels and metabolic characteristics were analyzed.ConclusionThis study revealed that GFAP and LCN2 may be good diagnostic markers for anxiety or depression in patients with BC and that plasma lactate levels are also a good diagnostic marker for anxiety. In addition, specific changes in metabolism in patients with BC were preliminarily explored.

Associations between reproductive factors and the prevalence of depression: findings from the National Health and Nutrition Examination Survey (NHANES) 2005–2018

BackgroundThis study aims to explore the relationship between female reproductive factors (age at first birth (AFB), age at last birth (ALB), gravidity, and number of live birth (NLB)) and prevalence of depression among the US women.MethodsThe relationship between AFB, ALB, gravidity, and NLB with the prevalence of depression was explored using publicly available data from the National Health and Nutrition Examination Survey 2005–2018. This cross-sectional study included female participants aged 20 years and older, with reproductive factors and depressive symptoms reported by the participants. Depression was evaluated using the Patient Health Questionnaire-9, with a score of ≥ 10 representing major depression disorder. Weighted multivariable logistic regression and restricted cubic splines (RCS) were utilized to explore the association of AFB, ALB, gravidity and NLB with depression.ResultsIn this study of 11,488 US women, 1,332 (11.6%) women had depression. Compared to the reference group of women with AFB under 18 years, the fully adjusted ORs and 95% CIs for depression were 0.83 (95% CI: 0.68–0.99), 0.75 (95% CI: 0.60–0.95), and 0.69 (95% CI: 0.51–0.93) for women with AFB of 21–23, 24–26, and 27–29 years, respectively. Furthermore, women with five or more pregnancies had a significantly higher prevalence of depression compared to those with two or fewer pregnancies (OR = 1.20, 95% CI: 1.01–1.42). RCS models demonstrated linear associations of ALB, gravidity and NLB with the prevalence of depression. Additionally, the RCS analysis revealed a roughly L-shaped relationship between AFB and prevalence of depression.ConclusionsWomen with later AFB are associated with a decreased prevalence of depression, while multiple pregnancies are associated with an increased prevalence of depression. These findings suggest that reproductive factors should be considered when screening for and developing preventive strategies for depression.

Prevalence of Anxiety and Depression among Parents of Children with Cancer-A Preliminary Study.

A child's cancer is a highly stressful experience for the entire family. Childhood cancer disrupts family functioning and is one of the most stressful and challenging events parents face, often beyond their control. Parents play a crucial role in providing emotional support to children throughout their illness, and their ability to cope can help reduce the child's negative emotions. The aim of this study was to assess the prevalence of anxiety and depression among parents of children with cancer. This cross-sectional study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines and included parents of children undergoing cancer treatment. Convenience sampling was used. The Beck Depression Inventory and the Hospital Anxiety and Depression Scale were utilized to assess the parents. This study included 270 participants (73% women, 27% men) with children at an average age of 8.75 ± 4.82 years. Diagnoses included leukemia (53%), lymphoma (29%), and other cancers. On the Beck Depression Inventory, 33% of parents were mildly depressed, 12% moderately depressed, and 32% severely depressed, with an average score of 20.63 ± 12.39 points. The HADS-M scale indicated anxiety at 48.43 ± 20.78%, depression at 45.01 ± 22.8%, and aggression at 54.72 ± 28.71%. Most parents of children with cancer have symptoms of depression and anxiety, which are influenced by the duration of the child's illness. A strong correlation was observed between the level of anxiety and the tendency for depression.

Suicidal Ideation, Psychological Distress and Depression in Medical Students of Pakistan: Surviving or Thriving

<i>Background</i>: In recent years, psychological stress has lead to increase in suicide cases readily among medical students of many countries. This study aims determine the prevalence of psychological stress, major depressive disorder, and suicidal ideation in Bachelor of Medicine and Bachelor of Surgery (MBBS) students of a government setup medical university in Pakistan. <i>Methods</i>: The data was gathered using a valid questionnaire containing 10 items Kessler psychological distress scale. The scale consists of the severity of the psychological distress from well, mild, moderate, and severe. Physical health questionnaire 2(PHQ2) was used for identifying the students with major depressive illness. Suicidal ideation was assessed using item no. 9 from PHQ9 questionnaire. <i>Results</i>: The overall prevalence of suicidal ideation, distress and major depression among 353 students of MBBS was 22.9%, 63.1%, 27.8% respectively. The students with major depression and moderate/severe distress are more probable to think about suicide. Moreover, Students who choose medicine under the family influence are more likely to have suicidal ideation. Besides this, we found that particularly females experience higher psychological distress as compared to males. <i>Conclusion</i>: In the overall study, it is identified that suicidal ideation is strongly correlated to depression and distress. However, controlling these factors at an early stage can prevent the suicidal thoughts, which inevitably can reduce the suicide attempts not only in medical students but could also be valuable for students of different fields.

The relationship between smartphone overuse, anxiety, and depression among middle school adolescents in the city of Kenitra, Morocco: a cross-sectional study

BackgroundAdolescents face various addiction issues, including excessive smartphone use, which significantly impacts their mental health, leading to anxiety and depression. This study aimed to analyze the impact of smartphone use on the mental health of middle school adolescents in the city of Kenitra, Morocco, focusing particularly on the prevalence of depression and anxiety and to identify the factors influencing these behaviors. The present cross-sectional study included a sample of 341 middle school adolescents from Kenitra city, Morocco. Participants completed a comprehensive questionnaire covering various aspects, including sociodemographic information, smartphone addiction assessment using the Smartphone Addiction Scale (SAS), and mental health assessment using the Hospital Anxiety and Depression Scale (HADS). Descriptive statistics were performed, and Mann–Whitney U-test and chi-square test were both used for comparisons between the excessive and non-excessive group, respectively. A Spearman’s correlation analysis was performed to evaluate associations of smartphone overuse with depression and anxiety.ResultsAmong 341 participants, 37.4% demonstrated smartphone overuse. Males exhibited nonsignificantly higher scores on the SAS than females (p = 0.082). In addition, the mean psychological distress scores for the study participants were 7.62 ± 3.31 for anxiety and 7.75 ± 3.7 for depression. Males exhibited significantly lower scores on the HADS subscales in comparison with females (p < 0.001). Interestingly, the results of the study showed a statistically significant positive correlation between anxiety (r = 0.2441, p = 0.013) and depression (r = 0.4035, p < 0.0001) subscales of HADS and SAS.ConclusionsOur findings suggest that adolescent students exposed to smartphone overuse are vulnerable to mental disorders. The results will be useful in helping schools put in place efficient measures to prevent excessive use of smartphones.

Mental health on two continua: mental wellbeing and common mental disorders in a community-based cross-sectional study with women in urban informal settlements in India

BackgroundWe considered the suggestion that mental health is the product of two intersecting continua: psychological distress and mental wellbeing.ObjectivesTo understand prevalences of low mental wellbeing, depression and anxiety, and examine associations between them and with sociodemographic variables.MethodsIn a cross-sectional survey in informal settlements, 4906 women aged 18–49 years answered questions on mental wellbeing (Short Warwick-Edinburgh Mental Wellbeing Scale: SWEMWBS) and symptoms of depression (Patient Health Questionnaire: PHQ-9) and anxiety (Generalised Anxiety Disorder: GAD-7). We used regression models to examine associations of lower mental wellbeing with symptoms suggesting moderate-to-severe depression and anxiety, and with sociodemographic characteristics.ResultsAbout 15% of women reported symptoms of low wellbeing, 9% symptoms of moderate-to-severe depression, and 6% symptoms of moderate-to-severe anxiety. Women with low wellbeing did not necessarily report symptoms suggesting anxiety or depression, and women with anxiety or depression did not necessarily report low wellbeing. In adjusted models, poorer and less educated women were more likely to report low wellbeing. Symptoms of anxiety or depression were more likely to be reported by widowed, separated, or divorced women, women who were in paid employment, and women who used drugs or alcohol themselves or whose partners did. Women with low wellbeing had at least double the odds of reporting symptoms of moderate-to-severe depression or anxiety than women who reported greater wellbeing.ConclusionThe findings support the idea of two continua of mental health. How individual women cope with mental illness and nevertheless enjoy a state of wellbeing deserves more study.

A meta-analysis of the prevalence of neuropsychiatric disorders and their association with disease onset in myotonic dystrophy.

There is a high prevalence of neuropsychiatric disorders in myotonic dystrophy types 1 and 2 (DM1 and DM2), including autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) in DM1, and depression and anxiety in both DMs. The aim of this systematic review and meta-analysis was to estimate the prevalence of ASD, ADHD, depression and anxiety in the population with DM, and their association with disease onset. A systematic search of Medline, Scopus, Web of Science, and the Cochrane Library was conducted from inception to November 2023. Observational studies estimating the prevalence of these disorders in DM1 or DM2 were included. A meta-analysis of the prevalence of these disorders and an association study with disease onset by prevalence ratio meta-analysis were performed. Thirty-eight studies were included. In DM1, the prevalence of ASD was 14%, with congenital onset being 79% more common than juvenile onset, while the prevalence of ADHD was 21%, with no difference between congenital and juvenile onset, and the prevalence of depression and anxiety were 14% and 16%. Depression was more common in the adult onset. Finally, the prevalence of depression in DM2 was 16%. A higher prevalence of neuropsychiatric disorders is observed in individuals with DM1 and DM2 than in the general population. Therefore, actively screening for congenital and juvenile neurodevelopmental disorders in DM1 and emotional disorders in DM1 and DM2 may improve the quality of life of those affected.

Association of the newly proposed dietary index for gut microbiota and depression: the mediation effect of phenotypic age and body mass index.

Gut microbiota and depression have garnered attention. The dietary index for gut microbiota (DI-GM) is a newly proposed index that reflects the diversity of gut microbiota, yet its association with depression remains unstudied. Data from the National Health and Nutrition Examination Survey were analyzed. Depression was assessed using Patient Health Questionnaire (PHQ-9). Dietary recall data were used to calculate the DI-GM (including components beneficial and unfavorable to gut microbiota). Multivariable weighted logistic and linear regression were employed to investigate the association of DI-GM with depression and total PHQ-9 score. The potential mediating role of phenotypic age and body mass index (BMI) was explored. Secondary analyses included subgroup analyses, restricted cubic spline (RCS), and multiple imputation. A higher DI-GM and beneficial gut microbiota score were associated with a lower prevalence of depression (DI-GM: OR = 0.94, 95% CI = 0.89, 0.99; beneficial gut microbiota score: OR = 0.88, 95% CI = 0.82, 0.94) and lower total PHQ-9 score (DI-GM: β=-0.09, 95% CI=-0.14, -0.04; beneficial gut microbiota: β=-0.15, 95% CI=-0.21, -0.08). RCS indicated a non-linear relationship between DI-GM and depression. A significant mediating effect of phenotypic age (proportion of mediation: 19.81%, 95% CI: 12.86-63.00%) and BMI (proportion of mediation: 16.49%, 95% CI: 12.87-62.00%) was observed. The newly proposed DI-GM was negatively associated with the prevalence of depression and total PHQ-9 score. Mediation analyses demonstrated a significant mediating effect of phenotypic age and BMI.

Energy burden and mental health: A national study in the United States

The prevalence of mental health issues in the US has significantly risen over the past decade, and it is presumably linked to an energy burden issue that has recently gained attention as a critical social determinant of mental health. Utilizing extensive nationwide datasets at the census tract, we found that the census tract level energy burden is positively associated with two key mental health indicators even after accounting for living, housing, and sociodemographic characteristics: the prevalence of frequent mental distress and physician-diagnosed depression, across all US urban areas. We also observe that these associations are consistent across various climate regions. The findings highlight that energy burden has a detrimental impact on mental health, and that it should be e considered a significant social determinant of health in future studies. Lastly, our study advocates for national policies to achieve energy justice and address disparities in mental health.

Evaluation of the prevalence of anxiety and depression and theimpact of asthma control level on these parameters amongasthmatic patients

Evaluation of the prevalence of anxiety and depression and theimpact of asthma control level on these parameters amongasthmatic patients

The impact of negative affects on the high prevalence of anxiety, depression and stress in healthcare professionals.

Psychiatric disorders are the conditions that most contribute to incapacity worldwide. While many healthcare professionals adapt in dealing with various demands, others do not. How much of these conditions is associated with affective experience needs to be studied. Assess the prevalence of anxiety, depression, and stress while investigating the relationship between the presence of positive and negative affect in healthcare professionals. This study's convenience sample consisted of 975 providers (including nursing, physicians, and multidisciplinary team) and administrative professionals (service and supervision teams) working at a general private hospital in Brazil. Data were collected in 2019 through a socio-demographic questionnaire, the Depression Anxiety and Stress Scale (DASS-21), and the Positive and Negative Affect Schedule (PANAS-X). The results are shown through multinomial regression with odds ratio, 95% confidence interval, and P-value. The prevalence of depression, anxiety, and stress was 49.4%, 46.1%, and 49.8%, respectively, showing high prevalence. It was observed that a high presence of negative affect is associated with a greater likelihood of developing anxiety, depression, and stress, while a high presence of positive affect is associated with a lower likelihood of depression and stress prevalence. The high prevalence of anxiety, depression and stress in healthcare professionals is associated with the presence of negative affects. Mental disorders should be measured, and practices adopted to ensure well-being and job performance.

Knowledge, attitudes, and practices among medical students toward depression management: a cross-sectional study in China.

The prevalence of depression among university and college students in China is nearly one-quarter. This study aimed to investigate the knowledge, attitudes and practices (KAP) among medical students toward depression management. Depression, a significant public health issue, has a substantial impact on students, with a reported prevalence of 23.8% among university and college students in China. This web-based cross-sectional study was conducted between January 2023 and October 2023 at three medical universities in China. A self-administered questionnaire collected demographic information and assessed medical students' KAP on depression management. A total of 632 participants were enrolled in this study from three medical universities. Among them, 383 (60.60%) were female, and the participants were aged 20.17 years on average (SD ± 1.80). Most of their family members (521, 82.44%) were not in the medical profession. Using a validated 15-point knowledge scale, a 50-point attitude scale, and a 30-point practice scale, which covered areas such as symptom recognition, treatment approaches, and stigma related to depression, the mean knowledge, attitudes and practices scores were 10.55 ± 3.36 (possible range: 0-15), 41.72 ± 4.45 (possible range: 10-50) and 19.79 ± 5.44 (possible range: 6-30), respectively. Males had lower knowledge (p = 0.003). Only children had higher practice (p = 0.034). Urban residents had higher attitudes (p = 0.046). Higher income linked to better practice (p = 0.047). Freshmen scored higher across all KAP (p < 0.05). Medical family background linked to better knowledge (p = 0.005). The attitude scores were correlated with the practice scores (r = 0.403, p = 0.004). The structural equation model demonstrated that knowledge had direct effects on attitude and practice, as indicated by a path coefficient of 0.725 (p < 0.001) and 0.370 (p = 0.001), respectively. Furthermore, attitude had direct effects on practices, with a path coefficient of 0.509 (p < 0.001). The study revealed that medical students possessed sufficient knowledge and demonstrated active attitudes but exhibited limited practical skills in managing depression. In investigating the KAP of medical students, it is essential to integrate specific practical applications, such as role-playing scenarios and case studies, into the curriculum. These methods will emphasize the importance of knowledge, foster positive attitudes, and promote peer collaboration to enhance practical skills in depression management.

Psychological problems among elementary and high school educators in Canada: association with sick days in the prior school year.

Increased sick leave among educators can detrimentally impact students' productivity, and academic achievement. It remains unknown whether the number of sick days taken by educators in the preceding school year correlates with the prevalence or severity of psychological problems among educators in the subsequent school year. This study aimed to examine the number of self-reported sick days taken by educators in three Canadian provinces during the 2021/2022 academic year and its association with measures of stress, burnout, low resilience, depression, and anxiety during the 2022/2023 school year. Data was collected from educators in three Canadian provinces, Alberta, Nova Scotia, and Newfoundland and Labrador, from September 1, 2022, to August 30, 2023. The Maslach Burnout Inventory-Educator Survey (MBI-ES), the Brief Resilience Scale (BRS), and the Perceived Stress Scale were used to assess burnout, resilience, and stress, respectively. Likely Generalized Anxiety Disorder (GAD) and likely Major Depressive Disorder (MDD) were assessed using the Generalized Anxiety Disorder-7 and Patient Health Questionnaire-9 scales, respectively. Statistical analysis was conducted using SPSS version 28. A total of 763 subscribers completed all the demographic, professional questions, and clinical scales, giving a response rate of 39.91%. Of these, there were 94 (12.3%) males and 669 (87.7%) females. Educators who reported taking 11 or more sick days in the previous academic year were at least three times more likely to exhibit high stress, emotional exhaustion, likely GAD, low resilience, and likely MDD than educators with no sick days during the preceding year. Similarly, educators with 11 or more sick days had significantly higher mean scores on the GAD-7 scale, the PHQ-9 scale, the PSS-10, the MBI Emotional Exhaustion subscale, and the MBI Depersonalization subscale than those with zero sick days. This study demonstrates a significant association between sick days and the prevalence and severity of high stress, low resilience, burnout, anxiety, and depression among educators. Short-term sick leave can escalate into long-term absences without adequate support for teachers. Governments and policymakers in the education sector must foster a supportive environment that enables teachers to thrive and effectively perform their professional role without taking prolonged sick days, which can undermine student learning and achievement.