Prevalence Of Depressive Symptoms Research Articles

Changes in Mental Health Among Adolescents in South Korea Before and After COVID-19: An Interrupted Time Series Analysis From 2015 to 2022

PurposeThis study aimed to examine changes in mental health among adolescents by comparing data from the period following the onset of the COVID-19 pandemic with the period before the pandemic. MethodsWe estimated the annual prevalence of stress perception, depressive symptoms, and suicidal ideation among middle and high school students using data from the Korean Youth Health Behavior Survey spanning from 2015 to 2022. We then compared mental health status across 2 periods—pre-COVID-19 (2015–2019) and during COVID-19 (2020–2022)—employing an interrupted time series analysis. We adjusted for covariates, such as household economic status, residence type, self-rated health, and history of hospitalization, due to violence. ResultsWe analyzed data from 472,385 adolescents (242,819 boys and 230,016 girls). Stress perception, depressive symptoms, and suicidal ideation showed an increasing trend during the pre-COVID-19 period, followed by a decrease in the first year of the pandemic and an increasing trend in the second and third years. Boys experienced a faster increase in stress and depressive symptoms during the second and third years of the pandemic compared with the pre-COVID-19 period, whereas girls showed trends similar to those observed before the pandemic. Middle school students experienced a more rapid increase in these indicators than high school students during the second and third years. DiscussionAdolescents' mental health initially improved in the first year of COVID-19 but worsened during the second and third years of the pandemic. This suggests a need for intervention policies and programs to support adolescent mental health.

Associations between dyadic coping, marital satisfaction, and prenatal depression symptoms among couples with gestational diabetes mellitus

ABSTRACT Aims/Background Coping with gestational diabetes mellitus (GDM) presents significant challenges for pregnant women and their partners, which may result in elevated prenatal depression symptoms. However, research has predominantly centred on pregnant women with GDM, with little involvement of their partners. To understand their dyadic interactions, it is imperative to involve GDM couples in the study. This study aims to examine the interplay between dyadic coping and prenatal depression symptoms among GDM couples and to explore the possible mediating role of marital satisfaction. Design/Method A cross-sectional study was conducted in Guangzhou, China. A total of 400 couples completed the Dyadic Coping Inventory, Locke-Wallace Marital Adjustment Scale, Edinburgh Postnatal Depression Scale, and sociodemographic data sheet. The actor-partner interdependence mediation model was utilised for dyadic data analysis. Results Overall, 13.0% of pregnant women with GDM and 8.3% of partners experienced elevated prenatal depression symptoms. Dyadic coping was directly or indirectly related to their own and partners’ prenatal depression symptoms in GDM couples, with marital satisfaction acting as a mediator. Specifically, positive dyadic coping was associated with lower prenatal depression symptoms, while negative dyadic coping exhibited an opposite relationship. Conclusion The prevalence of elevated prenatal depression symptoms was high in GDM couples. It is important to view pregnant women with GDM and their partners as a dyad of a transactional system in prenatal clinical care. Couple-centred interventions targeting to enhance positive dyadic coping and mitigate negative dyadic coping might be beneficial to prevent and alleviate prenatal depression symptoms.

Ethylene oxide exposure, inflammatory indicators, and depressive symptoms: a cross-sectional study and mediation analysis based on a non-institutionalized American population

BackgroundEthylene oxide (EO) is a volatile compound positively correlated with respiratory and cardiovascular diseases. Currently, evidence suggests that environmental exposure may contribute to depressive symptoms. This study evaluated the correlation between EO exposure and depressive symptoms and investigated whether inflammatory indicators had a mediation effect on this correlation.MethodsPatients were enrolled from the National Health and Nutrition Examination Survey during 2013–2016, and 2,764 (49.67% male and 50.33% female) participants were ultimately included. EO exposure was determined by measuring hemoglobin-EO adduct (Hb-EO) concentration due to its long half-life, which was log2-transformed. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Multivariable logistic regression analysis was performed to identify any correlations before and after covariate adjustment. Sensitivity analysis, subgroup analyses, and interaction tests were performed to further evaluate identified correlations. Mediation analysis was conducted to reveal whether specific inflammatory indicators mediated the correlation.ResultsA high prevalence of depressive symptoms was observed in quartiles with increased levels of EO exposure, and male individuals exhibiting higher Hb-EO levels than female individuals. A positive correlation was observed between EO exposure and depressive symptoms (odds ratio [OR]: 1.439, 95% confidence interval [CI]: 1.310, 1.581), which remained stable even after covariate adjustment (OR: 1.332, 95% CI: 1.148, 1.545). Interaction tests showed significant effects of sex (p < 0.001) and thyroid diseases (p = 0.048) on this correlation. In the mediation analysis, white blood cell (p = 0.010) and neutrophil counts (p = 0.010) exerted a mediating effect, accounting for 13.6 and 11.9%, respectively.ConclusionIncreased exposure to EO is associated with an elevated risk of depressive symptoms, where white blood cell and neutrophil counts exert a significant mediating effect. Further prospective studies are required to investigate the potential link among EO, other environmental pollutants, and human mental health.

Prevalence of depressive symptoms among urban school adolescents in Vietnam: The role of youth, family, and school relationships

BackgroundAdolescents frequently encounter a spectrum of psychiatric conditions, predominantly depressive and anxiety disorders, along with various behavioral disturbances. ObjectiveThis investigation aims to delineate the prevalence of depressive disorders among adolescents in urban Vietnam and to elucidate the interrelationships between familial and school-related dynamics and adolescent depression. Materials and MethodsA cross-sectional survey was conducted in 2022, involving 507 students aged 15 to 17 from high schools in Hanoi, Vietnam. Reynolds Adolescent Depression Scale - Second Edition (RADS-2) was used to assess the presence of depressive symptoms. Social-demographic characteristics, adolescent-family and adolescent-school relationships, and academic environment characteristics of high school students were interviewed. Multivariate Tobit regression models were employed to discern contributory factors across four domains of RADS-2. ResultsAmong the 507 adolescents, the mean scores on the RADS scale were 15.1 ± 4.2 for the dysphoric mood domain, 16.4 ± 4.0 for the anhedonia-negative domain, 13.1 ± 4.4 for the negative self-evaluation domain, and 12.4 ± 3.7 for the somatic complaints domain. The analysis indicated that adolescents with suboptimal parental relationships, absence of confidants, frequent parental conflicts, exposure to parental arguments, substantial exam-related stress, or overwhelming academic demands were more likely to exhibit elevated depressive symptoms. Conversely, adolescents who were satisfied with their friendships at school and received care, support from teachers or friends, and involved in school's extracurricular activities lower exhibited levels of depression. ConclusionsFindings reveal the significant impact of family and peer relationships, as well as academic stress, on the development of depressive symptoms. These significant results inform the design and development of future interventions aimed at mitigating depression risks among high school students, emphasizing the crucial roles of both educational institutions and family dynamics.

Impact of social, familial and personal factors on depressive symptoms in middle-aged and older adults from the national CHARLS cohort

BackgroundThis study aimed to evaluate whether social, familial and personal factors can predict incident and prevalent depressive symptoms in Chinese adults aged ≥ 45 years using data from the China Health and Retirement Longitudinal Study (CHARLS).MethodsStudy subjects without depressive symptoms from CHARLS at baseline were enrolled. Depressive symptoms were defined by the 10-item Center for Epidemiologic Studies Depression Scale. Statistical adjustment, subgroup exploration and unmeasured confounding assessment were undertaken to derive reliable estimates.Results1681 (27.04%) of 6215 subjects who had no depressive symptoms in 2011, suffered one or more depressive symptoms in 2018. Multivariate analyses showed that number of grandchildren (odds ratio [95% confidence interval]: 1.06 [1.02, 1.10]), social activity score (0.95 [0.91, 0.98]), instrumental activities of daily living (IADL) (1.35 [1.11, 1.65]) and number of comorbidities (1.16 [1.10, 1.22]) were independently and significantly associated with the presence of incident depressive symptoms. Further categorization revealed significance for social activity score (odds ratio [95% confidence interval]: 0.78 [0.69, 0.89] and 0.71 [0.53, 0.95] for 1–5 and > 5 vs. 0), IADL (1.35 [1.11, 1.65] for yes vs. no) and number of comorbidities (1.38 [1.20, 1.58], 1.44 [1.16, 1.81] and 2.42 [1.54, 3.80] for 1–2, 3–4 and > 4 vs. 0) associated with incident depressive symptoms. Restricting analysis to wave IV data in 2018 observed significant association of number of grandchildren, social activity score, IADL and number of comorbidities with prevalent depressive symptoms.ConclusionsThe present study findings support the marked contribution of social activity score, IADL and number of comorbidities to incident and prevalent depressive symptoms in Chinese middle-aged and older adults.

Prevalence and management of depressive symptoms in coronary heart disease patients and relationship with cardiovascular prognosis: a prospective cohort study

AimsDepressive symptoms are comorbid with coronary heart disease (CHD). There is a controversial debate about whether screening and intervention for depressive symptoms could improve cardiovascular prognosis. This study characterizes the prevalence, characteristics, cardiovascular prognosis and management need of depressive symptoms among CHD patients.MethodsCHD patients were recruited between November 18, 2020 and November 26, 2021. Depressive symptoms were evaluated with the Patient Health Questionnaire (PHQ-9). During the 12-month follow-up, cardiovascular disease (CVD) was the endpoint. Time-to-event data were estimated by Kaplan-Meier curves and Cox models.ResultsOf 582 patients (25% women), 21.0% had mild depressive symptoms, and 7.5% had moderate-to-severe depressive symptoms during hospitalization. Mild and moderate-to-severe depressive symptoms were risk factor-adjusted predictors of the primary composite endpoints (adjusted HR = 2.20; 95%CI 1.19–4.03, and adjusted HR = 2.70; 95%CI 1.23–5.59, respectively). Platelet count and low-density lipoprotein were higher in mild depressive symptoms compared to no depressive symptoms.ConclusionDepressive symptoms are prevalent in CHD patients. Mild and moderate-to-severe depressive symptoms are associated with higher risk of further CVD in CHD patients. Platelet function and behavioral mechanisms may contribute to this association.Trial registrationThis research was registered at https://www.chictr.org.cn. Full data of first registration is 11/09/2020. The registration number is ChiCTR2000038139.

Relationship Between Voice Problems and Depression Among American Adults.

Voice problems have a large impact on quality-of-life and societal participation. It has been previously reported that persons with voice problems have a higher likelihood of depression than those without voice problems. Despite this knowledge, little has changed in clinical practice related to screening for depression or incorporating the presence of depression in treatment planning. This study aims to provide an updated analysis of the prevalence of depressive symptoms in persons with voice disorders to elucidate the current magnitude of the relationship in hopes that this will provoke greater awareness of the co-occurrence of voice problems and depression and improve clinical care. Cross-sectional design with a national survey. None. The study examined the 23,706 adults from the 2022 National Health Interview Survey database. A series of logistic regression models with propensity score matching approaches were used to examine the association between voice problems and depression by accounting for demographics and health conditions. When comparing persons with and without voice problems, there were statistical differences in demographics and health conditions (all P < .05); however, those differences were balanced by propensity score matching methods (all P > .05). The balanced samples revealed that those with voice problems were approximately twice as likely to experience depressive symptoms (odds ratios ranged from 1.532 to 2.024, all P < .05) compared to those without voice problems. Depressive symptoms increased with the severity (P < .0001) and duration of the voice problem (P = .0328). The study found robust associations between voice problems and depression within the current American adult population in 2022. To achieve optimal treatment outcomes, it is critical that the co-occurrence of voice problems and depression is understood, and that treatment planning addressed both conditions, when applicable.

The association between dietary quality, sleep duration, and depression symptoms in the general population: findings from cross-sectional NHANES study

BackgroundUnhealthy lifestyles, which include unhealthy diet and unhealthy sleep duration, have been widely recognized as modifiable risk factors for depressive symptoms. This study aims to explore the associations between dietary quality, sleep duration, and depression symptoms, as well as their combined effects.MethodsThe NHANES 2007 to 2014 cycles provided the data for this study, in which 19,134 adults aged 20 years and older were included. Unhealthy diet, measured using an average Healthy Eating Index (HEI)-2015 score below the 60th percentile, and unhealthy sleep duration, measured as sleep duration at night less than 7 h or greater than/equal to 9 h, were the primary exposures. Then participants were divided into four different lifestyles. A weighted-multivariable logistic regression was employed, controlling for relevant variables. Furthermore, stratified analyses were conducted to assess the robustness of the findings and identify potential high-risk groups.ResultsThe overall prevalence of depressive symptoms among all participants was 8.44%. Among the participants, 56.58% met the criteria for healthy sleep duration, and 24.83% scored at or above the 60th percentile on the HEI-2015. Unhealthy diet (OR: 1.40, 95% CI: 1.18–1.67, p < 0.001) and unhealthy sleep duration (OR: 1.94, 95% CI: 1.63–2.31, p < 0.001) exhibited positive associations with depression symptoms. Individuals who maintained an unhealthy diet but healthy sleep duration (OR: 1.60, 95% CI: 1.20–2.13, p = 0.002), healthy diet but unhealthy sleep duration (OR: 2.50, 95% CI: 1.64–3.80, p < 0.001), or an unhealthy diet and unhealthy sleep duration (OR: 2.91, 95% CI: 2.16–3.92, p < 0.001) were significantly associated with depressive symptoms compared to those with a healthy diet and healthy sleep duration, respectively. In stratified analyses, females, middle-aged individuals, those with a college degree or higher education, and individuals who do not meet the recommended level of physical activity exhibit heightened susceptibility to depressive symptoms when exposed to unhealthy diet and unhealthy sleep duration.ConclusionIn summary, our study suggests that individuals affected by the individual and synergistic effect of an unhealthy diet and unhealthy sleep duration are more susceptible to experiencing depressive symptoms.

Social Vulnerability and Mental Health Among People with HIV and Substance Use: The Role of Race.

Poor mental health significantly impacts people with HIV (PWH) and those who drink alcohol. Limited data exist on the combined effects of social determinants of health (social vulnerability) on mental health in PWH with unhealthy substance use. We investigated the relationship between social vulnerability and poor mental health in PWH and whether this relationship differed by race/ethnicity. We conducted a cross-sectional analysis using data from the Boston ARCH Cohort among PWH with current or past unhealthy substance use. We created a 23-item social vulnerability index (SVI) using a deficit accumulation approach comprised of social determinants of health indicators. We estimated whether higher SVI score is associated with anxiety and depressive symptoms using logistic regression analysis. Among 251 participants with a mean age of 52 (SD = 10) years, 67.3% were male, 52% Black, 21% Hispanic, 19% White, and 73% unemployed. The SVI had a mean of 9.30 (SD = 3.4) with a 1.5-18 range. Nearly two in five persons reported past month heavy alcohol use and 35% illicit drug use. The prevalence of anxiety and depressive symptoms was 34.4% and 54.2% respectively. Higher SVI score was associated with anxiety symptoms (adjusted odds ratio [aOR] = 2.01, 95% confidence interval [CI] 1.46, 2.76, p ≤ 0.001), and depressive symptoms (aOR = 2.42, 95% CI 1.74, 3.36, p ≤ 0.001). Race/ethnicity did not moderate the relationship between SVI and each mental health outcome. SVI was significantly associated with poor mental health across racial/ethnicity groups in this cohort. Interventions that address social vulnerability may improve well-being and quality of life for PWH.

The role of supervisor support in the association between night work and depressive symptoms: a gender-stratified analysis of 22,422 full-time wage workers in South Korea.

This study investigated the relationship between night work, supervisor support, and depressive symptoms among full-time wage workers, with a focus on gender differences. A nationwide sample of 22,422 full-time wage workers from the Sixth Korean Working Conditions Survey (2020-2021) was analyzed. Experiences of night work were categorized into 5 groups based on the number of night work days per month: 0, 1-5, 6-10, 11-15, and 16-31. Depressive symptoms were evaluated using the 5-item World Health Organization Well-Being Index. Supervisor support was assessed with 5 items. Workers who engaged in 1-5 days (prevalence ratio [PR], 1.23; 95% CI, 1.12-1.36) and 6-10 days (PR, 1.17; 95% CI, 1.06-1.30) of night work per month exhibited a higher prevalence of depressive symptoms than those without night work. After stratifying by supervisor support levels, workers with 1-5, 6-10 and 11-15 days of night work per month were more likely to experience depressive symptoms compared to those without night work in the low supervisor support group. In contrast, no association was found between night work (≥ 6 days) and depressive symptoms in the high supervisor support group. Furthermore, gender differences were notable: female workers with 6-10 days (PR, 1.45; 95% CI, 1.23-1.70), and 11-15 days (PR, 1.43; 95% CI, 1.08-1.90) of night work per month exhibited a higher prevalence of depressive symptoms, whereas their male counterparts did not. This pattern of gender difference was also found among those with low supervisor support. Supervisor support may mitigate the adverse effects of night work on depressive symptoms among full-time wage workers, with differences manifested across genders.

Anxiety, depression, and family dysfunction among COVID-19 patients admitted to hospital and isolation facilities in the Philippines

COVID-19 patients are prone to developing psychosocial distress during and after admission to healthcare facilities. This prospective cohort study determined the prevalence of anxiety, depression, and family dysfunction among COVID-19 patients discharged from health facilities in Metro Manila, Philippines. Data was collected through phone interviews with COVID-19 patients two weeks and eight weeks after discharge. The questionnaires were based on validated tools such as HADS-P for screening anxiety and depression symptoms and Filipino Family APGAR and SCREEM Family resources survey for the perceived family function and resource, respectively. Data were analyzed using descriptive statistics to determine the prevalence of anxiety and depression symptoms. Factors associated with anxiety, depression, and family function were analyzed using logistic regression. Approximately 31.6% (23.8 – 40.2%) presented with anxiety symptoms, and 12.0% (7.3 – 18.4%) had depression symptoms two weeks after being discharged from COVID-19 infection. From two weeks after discharge, the prevalence of anxiety symptoms decreased to 19.8%, while depression increased to 13.5% eight weeks after discharge. The percentage of patients with a perceived moderate family dysfunction was 12.8% at two weeks and most inadequate resources for the patients. The patient's anxiety was associated with perceived moderate family dysfunction (p = 0.034) and moderately inadequate family resources (p = 0.034). Depression most inadequate resources for the patients. The patient's anxiety was associated with perceived moderate family dysfunction (p = 0.034) and moderately inadequate family resources (p = 0.034). Depression was associated with perceived moderate family dysfunction (p = 0.020) and low income (p = 0.036). This is one of the first studies to determine how COVID-19 infection affects the mental health status of Filipino patients. The study’s results highlight the importance of holistic care for COVID-19 patients and the need to include mental health in the management of COVID-19 patients.

Prevalence of Depressive Symptoms and Related Factors in Türkiye: Results of the 2016 and 2019 Turkish Health Survey.

We investigated the prevalence and distribution of depressive symptoms in individuals aged 15 and older, as well as the relationship between depressive symptoms and sociodemographic characteristics, chronic diseases, health status and health behaviors. The analysis of data collected from the Türkiye Health Surveys conducted by Turkish Statistical Institute (TURKSAT) in 2016 and 2019 involved using the Chi-Square independence test. Effect sizes were evaluated using Phi or Cramer's V coefficients. Patient Health Questionnaire-8 (PHQ-8) module was used to scan the depressive symptoms. The adult population's point of prevalence of depressive symptoms was 4.7%±0.24 in males and 8%±0.19 in females, with a population total of 6.3%±0.21. The yearly prevalence of depressive symptoms was 6.1%±0.45 in males, 13.2%±0.53 in females and a population total of 10%±0.49. Age, gender, income, education, social support, health status, disability, and chronic illnesses were found to be significant predictors of the incidence of depressive symptoms (p<0,05). The results indicated that the rate of people with depression getting help from psychologists, psychotherapists,and psychiatrists was low. Age, gender, income, education, marital status, self-rated health status, social support, number of chronic illnesses, and disability were the most important risk factors for depressive episodes. In addition to such self-reported research completed before the pandemic and Kahramanmaraş earthquakes in Türkiye, further studies based on structured diagnostic interviews are required.

Depressive and anxiety symptoms among university students during the later stages of the COVID-19 pandemic in Germany - Results from the COVID 19 German Student Well-being Study (C19 GSWS)

IntroductionData on the mental health of university students in Germany during the later stages of the pandemic is still limited. This study aimed to determine (1) the prevalence of anxiety and depressive symptoms among university students 1.5 years after the first COVID-19 restrictions and (2) which factors were associated with these outcomes.MethodsThe cross-sectional COVID-19 German Student Well-being Study (C19 GSWS) collected data of 6,996 students at five German universities. Associations between anxiety and depressive symptoms with sociodemographic and other factors were analyzed using multivariable logistic regression models.ResultsThe mean age of the participants was 23.9 years (SD = 4.8), 67% were female and 31% male. The prevalence for depressive symptoms was 29 and 32% for anxiety. The lack of a trusted person and financial difficulties were associated with anxiety and depressive symptoms. Being worried that someone in one’s personal network had become severely ill with COVID-19 and concern about (re)infection with COVID-19 were associated with anxiety symptoms. Those with pre-existing health conditions had an up to 1.98-times higher chance for reporting depressive symptoms (OR, 95% CI: 1.01–3.88) and an up to 2.27-times higher chance for anxiety symptoms, respectively (OR, 95% CI: 1.15–4.46).ConclusionConcepts for prevention and counseling to tackle mental health problems in students are needed and programs should take specific stressors in times of crises into account.

Prevalence and determinants of occupational depression, anxiety, and stress among Ethiopian healthcare workers

Studies on the prevalence and factors of depression, and anxiety symptoms from a work-ascribed or causal perspective are not available and studies on the prevalence of occupational stress in Ethiopia are limited. Therefore, this study aimed to determine the prevalence of occupational depression, job anxiety, and occupational stress, and to identify their determinants in healthcare workers. We conducted a multicenter cross-sectional study in selected public hospitals in the Central and Southern Ethiopia from 16th January to 28th February 2023. We used stratified random sampling to select 9 public hospitals from three strata: primary, general and tertiary hospitals. We collected data using scales of perceived occupational stress, occupational depression inventory, and job anxiety. We performed a confirmatory factor analysis followed by determining the prevalence of those mental symptoms and identifying independent factors using multiple ordinal logistic regression. Among 1426 healthcare workers, the overall prevalence of occupational depressive, job anxiety, and occupational stress symptoms were 39.0%, 57.6%, and 68.0%, respectively. Females, medical specialists, participants with a history of disease or injury, those with low job dissatisfaction, higher sleeping disorder scores, higher life-threatening events (LTEs) scores, and longer working hours were more likely to report occupational depressive symptoms. Participants with poor perceived health significantly increased the odds of reporting job anxiety symptoms. Participants with low job satisfaction, a history of workplace verbal violence, higher scores for sleep disorders, and higher LTEs score had significantly greater odds of reporting both job anxiety and occupational stress symptoms. Younger participants were also more likely to report occupational stress symptoms. Our study highlights the need to prioritize workplace mental health interventions for healthcare workers. The study also suggested the need to address gender, educational level, job satisfaction, and sleep hygiene, develop coping mechanisms for LTEs, prevent workplace violence, and manage of working hours per week to enhance the mental well-being of healthcare workers in Ethiopia.

Co-occurrence of anxiety and depressive symptoms, suicidal thoughts, and hopelessness in patients with narcolepsy type 1

ObjectiveTo assesses the prevalence and co-occurrence of anxiety, depressive symptoms, suicidal thoughts, and hopelessness in patients with narcolepsy type 1 (NT1).Patients/Methods. In this cross-sectional study, 127 patients with NT1 (mean age 38.2 ± 15.5 years, 53.5 % female) and 131 controls (mean age 37.4 ± 14.3 years, 59.5 % female) matched for age, sex, and education, filled in the following validated questionnaires: Beck Depression Inventory-II (BDI), State-Trait Anxiety Inventory (STAI), and Beck Hopelessness Scale (BHS). Comparisons between groups and multivariable logistic regression analyses were performed. ResultsPatients with NT1 presented significantly higher scores in BDI, suicidal thoughts (BDI-item-9), STAI-trait, STAI-state, and BHS than controls. Adjusted for age, sex, and educational level, NT1 was significantly associated with depressive symptoms (BDI≥13; OR 3.23, 95%CI 1.71–6.10), trait anxiety symptoms (STAI-trait≥38; OR 1.91, 95%CI 1.14–3.21), co-occurrence of BDI≥13 with STAI-trait≥38 (OR 2.72, 95%CI 1.47–5.05), and with STAI-state≥38 (OR 2.24, 95%CI 1.17–4.30), and moderate to severe hopelessness (BHS≥9; OR 2.95, 95%CI 1.55–5.63). ConclusionsPatients with NT1 present a multidimensional psychiatric burden and comorbidity between symptoms of depression and anxiety and suicidal thoughts, a concern that deserves tailored interventions.

Psychological Health and Wellness and the Impact of a Supportive Text Messaging Program (Wellness4MDs) Among Physicians and Medical Learners in Canada: Protocol for a Longitudinal Study.

Burnout, anxiety, and depression continue to affect physicians, postgraduate medical trainees, and medical students globally and in Canada particularly after the COVID-19 pandemic. The primary goal of this project is to design, implement, monitor, and evaluate a daily supportive SMS text messaging program (Wellness4MDs, Global Psychological e-Health Foundation). The program aims to reduce the prevalence and severity of burnout, anxiety, and depression symptoms among physicians, postgraduate medical trainees, and medical students in Canada. This longitudinal study represents a multistakeholder, mixed methods, multiyear implementation science project. Project evaluation will be conducted through a quantitative prospective longitudinal approach using a paired sample comparison, a naturalistic cross-sectional controlled design, and satisfaction surveys. Prevalence estimates for psychological problems would be based on baseline data from self-completed validated rating scales. Additional data will be collected at designated time points for paired comparison. Outcome measures will be assessed using standardized rating scales, including the Maslach Burnout Inventory for burnout symptoms, the 9-item Patient Health Questionnaire for depression symptoms, the 7-item Generalized Anxiety Disorder scale for anxiety symptoms, and the World Health Organization-Five Well-Being Index. The project launched in the last quarter of 2023, and program evaluation results will become available within 36 months. The Wellness4MDs program is expected to reduce the prevalence and severity of psychological problems among physicians in Canada and achieve high subscriber satisfaction. The results from the Wellness4MDs project evaluation will provide key information regarding the effectiveness of daily supportive SMS text messages and links to mental health resources on these mental health parameters in Canadian physicians, postgraduate trainees, and medical students. Information will be useful for informing policy and decision-making concerning psychological interventions for physicians in Canada. PRR1-10.2196/44368.

Household food insecurity and symptoms of anxiety and depression during pregnancy: Systematic review and meta-analysis.

Household food insecurity (HFI) has been related to adverse maternal-child health outcomes and mental health worsening during pregnancy. Few studies evaluated the temporal association between HFI and anxiety and depressive symptoms in pregnant women, and this association remains not completely understood. This study aimed to systematically review the association between HFI and symptoms of depression and anxiety in pregnant individuals. The systematic review protocol was registered in the International Prospective Register of Systematic Reviews (CRD42022373615). Systematic searches were conducted on 10 electronic databases and grey literature. Two researchers independently conducted the study selection, data extraction process, and the risk of bias assessment. Random-effects meta-analysis models were used, and I2 > 40% indicated high heterogeneity across studies. Eighteen articles were included for the systematic review, comprising n = 27,882, and a total of 18,987 pregnant individuals aged between 14 and 45 years were included in the meta-analysis. The prevalence of HFI reported in studies ranged from 12.6% to 62.1% (n = 17). The prevalence of depressive and anxiety symptoms ranged from 18% to 49% (n = 11) and 23% to 34% (n = 2), respectively. HFI during pregnancy was associated with increased odds of experiencing symptoms of depression [(OR: 2.52; 95% CI: 2.11-3.02), I2 = 73.23%]. The quality of evidence was very low due to high heterogeneity. Our findings highlighted the association between HFI and depression symptoms during pregnancy. Findings from this study suggest the importance of assessing HFI and mental health during pregnancy.

Time to share unpaid domestic labor! Prevalence of depressive symptoms among working women

Time to share unpaid domestic labor! Prevalence of depressive symptoms among working women

Prevalence of Perinatal Depression and Its Associated Risk Factors among Nepalese Women in Kathmandu, Nepal.

Perinatal mental health is a major public health issue that arises during pregnancy and/or after birth, with substantial implications for social, parental, and maternal functioning, as well as overall quality of life. The study aimed to determine the prevalence of perinatal depression and its associated risk factors among women who visited a maternity hospital in Kathmandu, Nepal. A cross-sectional study was conducted at the Paropakar Maternity and Women's Hospital in Kathmandu. A total of 300 women in their perinatal period were interviewed. The Edinburgh Perinatal Depression Scale (EPDS) was used to measure perinatal depression. The Poisson regression model was used to determine risk factors associated with perinatal depression. The mean age of respondents was 25.5 (SD 4.5) years; average age during their first pregnancy was 23.5 (SD 3.7) years; and 53.7% of respondents were in the antenatal period. The prevalence of depressive symptoms (EPDS ≥ 10) was 40% (95% CI 31.4% to 45.8%). Unsupportive family members (adjusted prevalence ratio [aPR] 2.23; 95% CI 1.75-2.86), postnatal period (aPR 2.64; 95% CI 1.97-3.53), complications faced during delivery (aPR 1.76; 95%CI 1.30-2.39), history of intimate partner violence (aPR 0.48; 95% CI 0.36-0.64), and first pregnancy at the age of ≤25 years (aPR 0.61; 95% CI 0.42-0.88) were identified as key risk factors of perinatal depression. Strong family support and the active involvement of partners in counselling can contribute to alleviating perinatal depression symptoms. Targeted interventions in health and well-being services should be implemented to address mental health burden during both pregnancy and postpartum periods.

Effects of pain, hospitalization, and medication on depressive symptom in Syrian patients with chronic diseases

Chronic diseases and pain exacerbate depressive symptom in Syria. Limited research on hospital-induced depressive symptom among Syrian patients with chronic diseases warrants further study. A cross-sectional study in four Damascus hospitals revealed high rates of pain and depressive symptom. This study aims to investigate the prevalence and severity of chronic pain and hospital-induced depressive symptom in Syrian patients, as well as the relationship between pain, depressive symptom, and medication behavior. This study analyzes the impact of pain, hospitalization, and medication on patients with chronic diseases. The four Damascus hospitals included 453 patients from various departments. Data were collected through structured interviews and internationally recognized scales such as the PSEQ, HADS, and MMAS. These findings offer insights into pain management and psychological well-being, with implications for patient care and support strategies. The study involved 453 patients with chronic diseases, with gender distribution showing 46.6% females and 53.4% males. The age range was from 7 to 87 years, with an average of 46.87 years. Chi-square tests revealed a significant connection between gender and HADS-A scores, where 48.3% of females had abnormalities (χ2 (1, N = 453) = 7.125, p = 0.028). Marital status was significantly associated with anxiety and depressive symptom levels, particularly among widowed and divorced patients. Employment status, education, and comorbidity were linked to abnormal HADS-A scores, while education level showed a positive correlation with HADS-D scores. ANOVA tests showed significant differences in MMAS scores across income groups (F (3, 449) = 3.167, p = 0.024), with a notable difference between low-income and lower-middle-income groups (mean difference = 0.389, p = 0.031. Chronic pain and HID are prevalent among Syrian patients with chronic diseases and influenced by socio-demographic factors. Personalized interventions are needed to address psychological symptoms and medication behavior.