Likelihood Of Depression Research Articles

Gender difference on the mediation effects of filial piety on the association between chronic obstructive pulmonary disease and depressive symptoms in older adults: A community-based study.

Filial piety is viewed as strong family support for older Chinese people, and strongly associated with depressive symptoms. It is unknown if there exists gender difference in the mediation effects of filial piety on the relationship between chronic obstructive pulmonary disease (manifested as lung function) and depression. We investigated whether filial piety mediates the association between lung function and depression in community-dwelling older men and women using the Healthy Aging Longitudinal Study in Taiwan (HALST). Community dwelling adults aged 65 and above were analyzed. Pulmonary function, depressive symptoms, and filial piety expectation (FPE) and receipt of filial piety (RFP) were collected. The interaction and mediation of filial piety between lung function and depression was analyzed. We found that in older men, forced expiratory volume in the first second (FEV1) was inversely correlated with depression (β = -0.1281, p = 0.004) with no mediation effect of FPE. In older women, FEV1 was negatively associated with FPE, but FPE did not increase the risk of depression (β = 0.0605, p = 0.12). In both older men and women, FEV1 was negatively associated with RFP, while RFP reduced the risk of depression (p< 0.001). In older women, the correlation between FEV1 was complete mediation of RFP. Results indicate that feelings of insufficient filial piety may increase the likelihood of depression, especially in elderly women with worse lung function. Although modest, the main mediation effect of filial piety was improvement of lung function in older subjects, which might decrease depression.

Health impact of the Tajogaite volcano eruption in La Palma population (ISVOLCAN study): rationale, design, and preliminary results from the first 1002 participants

BackgroundThe eruption of the Tajogaite volcano began on the island of La Palma on September 19, 2021, lasting for 85 days. This study aims to present the design and methodology of the ISVOLCAN (Health Impact on the Population of La Palma due to the Volcanic Eruption) cohort, as well as the preliminary findings from the first 1002 enrolled participants.MethodsA prospective cohort study was conducted with random selection of adult participants from the general population, with an estimated sample size of 2600 individuals. The results of the first 857 participants are presented, along with a group of 145 voluntary participants who served as interveners during the eruption. Data on epidemiology and volcano exposure were collected, and participants underwent physical examinations, including anthropometry, blood pressure measurement, spirometry, and venous blood extraction for toxicological assessment.ResultsIn the general population (n = 857), descriptive analysis revealed that the participants were mostly middle-aged individuals (50.8 ± 16.4), with a predominance of females. Before the eruption, the participants resided at a median distance of 6.7 km from the volcano in the Western region and 10.9 km in the Eastern region. Approximately 15.4% of the sample required evacuation, whose 34.8% returning to their homes on average after 3 months. A significant number of participants reported engaging in daily tasks involving cleaning of volcanic ash both indoors and outdoors. The most reported acute symptoms included ocular irritation, insomnia, mood disorders (anxiety-depression), and respiratory symptoms. Multivariate analysis results show that participants in the western region had a higher likelihood of lower respiratory tract symptoms (OR 1.99; 95% CI:1.33–2.99), depression and anxiety (OR 1.95; 95% CI:1.30–2.93), and insomnia (OR 2.03; 95% CI:1.33–3.09), compared to those in the eastern region.ConclusionThe ongoing follow-up of the ISVOLCAN cohort will provide valuable insights into the short, medium, and long-term health impact related to the material emitted during the Tajogaite eruption, based on the level of exposure suffered by the affected population.

Grandparental support and maternal depression: Do grandparents’ characteristics matter more for separating mothers?

Grandparental support may protect mothers from depression, particularly mothers who separate and enter single parenthood. Using longitudinal Finnish register data on 116,917 separating and 371,703 non-separating mothers with young children, we examined differences in mothers’ antidepressant purchases by grandparental characteristics related to provision of support. Grandparents’ younger age (<70 years), employment, and lack of severe health problems predicted a lower probability of maternal depression. Depression was also less common if grandparents lived close to the mother and if the maternal grandparents’ union was intact. Differences in maternal depression by grandparental characteristics were larger among separating than among non-separating mothers, particularly during the years before separation. Overall, maternal grandmothers’ characteristics appeared to matter most, while the role of paternal grandparents was smaller. The findings suggest that grandparental characteristics associated with increased potential for providing support and decreased need of receiving support predict a lower likelihood of maternal depression, particularly among separating mothers.

Role of women empowerment on mental health problems and care-seeking behavior among married women in Nepal: secondary analysis of nationally representative data

PurposeThis study investigates the associations between women empowerment and the prevalence of mental health symptoms and care-seeking behavior among ever-married Nepalese women aged 15–49 years.MethodsWe utilized 2022 Nepal Demographic and Health Survey data to measure women empowerment, employing the Survey-Based Women’s Empowerment (SWPER) index. The index focuses on the domains of social independence, decision-making, and attitudes towards violence. Symptoms of anxiety and depression were measured using the Generalized Anxiety Disorder-7 scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), respectively. Multiple logistic regression was performed to estimate adjusted odds ratio (aOR) for associations of women empowerment domains and mental health problems and care-seeking behavior.ResultsAmong 5556 women, the prevalence of symptoms of anxiety and depression was 23.1% and 6.1%, respectively. Among those with any symptoms of anxiety or depression, 18.3% sought care. Compared to women with low level of empowerment in the “social independence” domain, those with high level of empowerment were less likely to suffer from symptoms of anxiety (aOR = 0.68; 95%CI, 0.57–0.82) and depression (aOR = 0.69; 95%CI, 0.50–0.94). However, high empowerment in “decision-making” domain was associated with higher likelihood of anxiety (aOR = 1.67; 95%CI, 1.33–2.10) and depression (aOR = 1.80; 95%CI, 1.26–2.58). There was evidence of positive association between high empowerment in “decision-making” and care-seeking (aOR = 1.28; 95%CI, 0.96–1.71).ConclusionsThis study underscores important roles of women empowerment on mental health symptoms and care-seeking behavior, suggesting the need to integrate empowerment initiatives into strategies to promote mental health among women in Nepal and similar low- and middle-income settings.

Assessing depression and anxiety among young adults after epidemics and pandemics: a cross-sectional study in Anyang, China

It has been well established that pandemics affect mental health, yet few studies have been conducted in China regarding this issue following COVID-19's gradual decline and the recent H1N1 influenza outbreak. In response to this research gap, this investigation explores the risk factors linked to depression and anxiety symptoms among young adults in this specific setting. Data were collected via an online cross-sectional survey of 385 young adults living in Anyang city, Henan Province, China, between June 15 and July 21, 2023. Respondents were assessed for anxiety and depression symptoms using the GAD-7 and PHQ-9 scales. Additionally, to examine the factors that influenced the study, we utilized an ordered logit regression model. Results revealed depression and anxiety prevalence rates of 33.3% and 21.6%, respectively. Several factors were found to increase the likelihood of depression and anxiety among young adults, including gender, age, education status, marital status, and attitudes towards epidemics. Participants' concerns about pandemics and viruses had a significant negative impact relationship on depression levels. Women report moderate to severe anxiety more frequently than men. An evident correlation can be observed between the educational attainment level and the influence of depression and anxiety.

Associations of the density and proximity of the outlets of tobacco and other nicotine-containing products with increased levels of depression, anxiety and stress among the population of 3 Russian regions

Aim. To study the relationship of the density and proximity of tobacco products (TPs) and electronic nicotine delivery systems (ENDS) with increased levels of depression, anxiety and stress among the population in 3 constituent entities of the Russian Federation.Material and methods. The work used data from the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study in 3 Russian regions (Arkhangelsk, Sverdlovsk and Tver regions) among the population aged 35-64 years (n=1674), who signed a consent to participate in the study. We analyzed data on the status of smoking and consumption of ENDS, passive smoking, attempts to quit smoking, as well as the presence of depression, anxiety (Hospital Anxiety and Depression Scale (HADS) score ≥8) and stress (Perceived Stress Scale (PSS) &gt;21). Elements of urban infrastructure (data collection: January-March 2022) selling TPs and ENDS were assessed using aт OpenStreetMap-based program. Associations were established using logistic regression analysis.Results. With a twofold increase in the distance of TP and ENDS outlets from the place of residence, the depression probability was reduced by 13% (odds ratio (OR) 0,87; 95% confidence interval (CI): 0,79-0,96) and by 12% (OR 0,88; 95% CI: 0,78-0,99), respectively. With increase in distance from of TP outlets, the anxiety decreased probability by 12% (OR 0,88; 95% CI: 0,81-0,97). With an increase in the number of TP outlets within a radius of 1000 m from the place of residence, there were an increase in the probability of depression (OR 1,18; 95% CI: 1,031,36), anxiety (OR 1,12; 95% CI: 1-1,26) and stress (OR 1,24; 95% CI: 1,05-1,46). A greater number of ENDS outlets within a radius of 1000 m and 400 m was associated with a high likelihood of depression (OR 1,17; 95% CI: 1,02-1,34 and OR 1,25; 95% CI: 1,04-1,47, respectively). An increased depression probability was found in those exposed to tobacco smoke at home (OR 1,88; 95% CI: 1,27-2,73) and at work (OR 1,67; 95% CI: 1,14-2,41). An increase in the number of attempts to quit smoking doubles the odds of depression (OR 2,40; 95% CI: 1,35-4,23) and anxiety (OR 2,00; 95% CI: 1,18-3,38).Conclusion. Unfavorable environmental factors, including the proximity and density of TP and ENDS outlets, can increase the probability of depression, anxiety and stress among the population living in these areas.

Abstract TP87: Trending the Impact of Non-Body Weight Supported Treadmill Training on Physical Functioning and Depressive Symptoms in Chronic Stroke Survivors

Introduction: Stroke is the most common cause of adult-onset disability and is often associated with chronic limitations in activities of daily living (ADLs). Relatedly, the loss of functional independence has been suggested in increasing the likelihood of post-stroke depression, yet limited strategies are available to mitigate these risks. The objective of this secondary analysis study was to determine the immediate and residual impact of non- body weight supported treadmill training (NBWTT) on ADL and PHQ-9 in chronic stroke survivors. We hypothesized that training would result in improvement in ADL and depressive symptoms. Method: Data from 40-community-dwelling stroke survivors with mild-moderate walking impairment were used for this analysis. All participants underwent nine training sessions (3 per week x 3 weeks) of backward (BLTT/n=19) or forward (FLTT/n=21) NBWTT. The Stroke Impact Scale -16 (ADL-measure) and PHQ-9 (depression screen) were collected at baseline, post-training, at 30- and 90-day follow-up. Results: Both BLTT and FLTT resulted in an improvement in SIS-16 (p&lt;0.01) and PHQ9 &lt;0.01); however, there were no significant differences between groups. Post-training improvements in SIS and PHQ-9 were minimally inversely correlated (p&lt;0.01, R2=0.2). While the impact of training on SIS-16 and PHQ-9 were still present at 30 and 90-days post-training, these differences were no longer significant. Conclusion: Our preliminary findings suggest that NBWTT resulted transient improvements in both ADL and symptoms of depression. Future studies should investigate ways to extend the effects of training on these and similar quality of life measures.

Abstract TMP19: Need for Enhancing Mental Health Care in Stroke Patients: Insights Into Post-Stroke Anxiety and Depression From the National Health Interview Survey (NHIS) Data

Background: Stroke is a leading cause of chronic disability, with neuropsychiatric presentations being increasingly recognized as complications that hinder rehabilitation and patient outcomes. This study investigates factors influencing anxiety and depression prevalence in stroke patients. Methods: Utilizing 2019 National Health Interview Survey (NHIS) data, we conducted chi-square tests and multivariate logistic regression models, adjusting for various factors. We also assessed the proportion of anxiety and depression patients undergoing therapy and/or medication. Results: There were 1204 (N=7,745,925) participants with stroke and 30,743 (N=242,831,595) without stroke. After applying appropriate sample weights, we identified that patients aged 65-75 and &gt;=75 had similar odds but demonstrated decreased likelihood of depression compared to younger patients with stroke (OR=0.4, 95%CI (0.2,0.9). Moreover, stroke patients with high school education or higher were less likely to have anxiety (OR=0.6, 95%CI (0.4,0.9) while patients with medicare/medicaid were more likely to have anxiety (OR=2.9, 95% CI (1.1,7.7) after adjusting for demographic factors. Therapy use was suboptimal with only 24.2% and 43.4% of stroke patients with mild-moderate and severe anxiety, respectively, currently receiving therapy. For depression, therapy was sought by only 20.0% and 35.9% with mild/moderate and severe depression, respectively. Furthermore, medication use was noted in 42.6% and 48.4% of patients with stroke with mild-moderate and severe anxiety, respectively while 35.3% and 59.3% of stroke patients with mild-moderate and severe depression were taking medication. Conclusion: Demographic factors were found to significantly affect the prevalence of anxiety and depression among stroke patients with sub-optimal utilization of therapy and treatment. Appropriate guidelines are necessary for routine screening and treatment of anxiety and depression among stroke patients.

Impact of Residential Area Characteristics and Political Group Participation on Depression Among Middle-Aged and Older Adults: Results of an 11-Year Longitudinal Study.

The claim that political group attendance is associated with poor mental health among older adults may be conditioned on geographic conditions. This study examined the geographical context in which political group participation may be associated with depression. The 11-year follow-up data from the Taiwan Longitudinal Study on Aging, covering 5,334 persons aged ≥50 years, were analyzed using random-effects panel logit models. Depression was assessed using 10 items on the Centre for Epidemiologic Studies Depression scale. Participants were asked to indicate whether they belonged to different social groups. We modeled depression as a function of political group participation (the independent variable) and geographical region (moderators), adjusting for individual-level characteristics. Respondents in political groups were more likely to report depression than those in nonpolitical groups (adjusted odds ratio [AOR] = 1.90, 95% confidence interval [CI] = 1.34-2.68). Between urban and rural settlements, there were no statistically significant differences in mental health outcomes among older adults engaged in political groups (AOR = 1.72, 95% CI = 0.81-3.67). For those who remained politically engaged, living in areas with lower levels of electoral competition was associated with a lower likelihood of depression (AOR = 0.92, 95% CI = 0.86-0.98); this conditional effect was not prevalent among those who were solely engaged in nonpolitical groups (AOR = 1.02, 95% CI = 0.99-1.03). Political group participation is associated with poor mental health among older adults living in politically competitive regions.

The relationship between emotional intelligence and optimism: A meta-analysis.

Optimism involves the general expectation good things will occur and greater optimism is associated with a number of positive life outcomes related to better mental and physical health. These outcomes include reduced likelihood of depression, more effective immune functioning and lower mortality. Emotional intelligence, which consists of adaptive emotional functioning, may be a foundation for optimism. This meta-analysis examined the relationship between emotional intelligence and optimism across 6889 participants from 25 independent samples. Across studies, a higher level of emotional intelligence was associated with greater optimism with a weighted effect size of, r = .35, p < .001. Measurement approach and country of participants moderated the effect size. These results have relevance for the design of positive psychology interventions.

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study.

Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model. This is a cross-sectional study. Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models. The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma. This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.

Cardiometabolic index is associated with increased depression: A population-based study

Background and aimDepression is a common and complex psychiatric disorder, and lipid metabolism plays an important role in the development of psychiatric disorders such as depression. Cardiometabolic index (CMI) is a novel index that synthesizes two quantitative indicators of blood lipids (triglyceride(TG)/high-density lipoprotein cholesterol (HDL-C)) and human obesity-related parameters (waist height ratio (WHtR)). This study used NHANES data to explore the correlation between CMI and the incidence of depression. Methods and resultsBased on the data of the National Health and Nutrition Examination Survey (NHANES) 2011–2018, multivariate logistic regression, sensitivity analysis, and smooth curve fitting were used to study the relationship between CMI and depression. Subgroup analysis and interaction tests were used to investigate whether the association was stable in different populations.CMI was positively associated with depression in 7229 participants aged >20 years. In the fully adjusted model, each unit increase in CMI was associated with 36 % higher likelihood of depression symptoms [1.36(1.16,1.59)]. Participants in the highest quartile of CMI had a 62 % higher risk of depression than participants in the lowest quartile [1.62(1.17,2.23)]. This positive correlation was more pronounced in those with hypertension. ConclusionsCMI was associated with a higher PHQ-9 score and an increased likelihood of depression among US adults. Further large-scale prospective studies are still need to analyze the role of CMI in depression.

Bullying experiences before and after the transition from lower to upper secondary school: associations with subsequent mental health in a Swedish cohort

BackgroundPrevious research has shown that exposure to bullying is linked to long-term adverse mental health consequences. However, prospective studies examining the persistence of bullying, using information from repeated time points, are limited. The aim of this study was to examine, firstly, the extent to which exposure to bullying among adolescents in Sweden changes between grades 9 (age 15–16) and 11 (age 17–18) (i.e., before and after the transition from lower to upper secondary school); secondly, whether being bullied in grade 9 or 11 is associated with depression and anxiety symptoms at age 20–21; and thirdly, if being bullied in both grade 9 and 11 is linked to an even higher likelihood of subsequent depression and anxiety symptoms. Potential differences by gender were investigated throughout.MethodsData was derived from the Swedish cohort study Futura01 involving individuals attending grade 9 in the school year 2016/17 (n = 2323). We utilised self-reported information from three survey waves conducted in 2017, 2019, and 2022, and linked registry information on sociodemographic characteristics. Bullying was assessed using a single item in waves 1 and 2. Depression and anxiety symptoms were measured using the Patient Health Questionnaire-4 (PHQ-4) in wave 3. Gender stratified binary logistic regressions were performed.ResultsAmong those who were bullied in grade 9, 22.6% of males and 35.8% of females continued to experience bullying in grade 11. For females, exposure to bullying in grade 9 or 11 was associated with an increased likelihood of reporting depression and anxiety symptoms at age 20–21, with the highest odds for those bullied at both time points. For males, only one statistically significant association was identified – specifically, between being bullied in grade 9 and subsequent depression symptoms.ConclusionsFor a majority of adolescents who experience bullying in lower secondary school, but not all, the transition to upper secondary school proves to be beneficial as the bullying typically does not persist. However, bullying can have long-term health effects, in particular for females. These findings emphasise the importance of effective measures to address bullying within schools.

The association between nap time, nighttime sleep and depression in Chinese older adults: A cross-sectional study.

To explore the relationship among nap time, night sleep time, and depression among the elderly and to determine the recommended sleep time to provide a scientific and reasonable basis for the prevention and control of depression in residents. Based on the 2020 China Health and Elderly Care Longitudinal Survey (CHARLS) database, the demographic data and the health and lifestyle information of the study subjects were obtained. A total of 2,959 valid samples were included, and the relationship between sleep and depression was explored by logistic regression, restricted cubic spline, and isotemporal substitution model. In the cross-sectional analysis, no statistical relationship was observed between napping time and depression in the elderly. The optimal sleep interval for the elderly at night is 6-7.5 hours, and the health benefits are the largest. A sleep duration of < 6 hours at night (OR = 2.25, 95% CI: 1.90 to 2.65) was associated with a high likelihood of depression. The probability of depression in the elderly continues to decrease with the increase of time after the nighttime sleep duration reaches 6 hours and is at the lowest level of about 7.5 hours. Moreover, the probability of depression will increase after the sleep duration exceeds 9.5 hours. In the range of 6-7.5 hours of recommended sleep duration, the likelihood of depression in the elderly will be reduced by 0.311 for every 30-minute increase in nighttime sleep time instead of noon sleep time. The duration of nighttime sleep and the probability of depression have a U-shaped relationship. The likelihood of depression was lowest in the elderly who slept for 6-8 hours at night, and the likelihood of depression could be reduced by increasing the nighttime sleep time instead of napping time within the optimal nighttime sleep range.

The association between Metabolic Score for Visceral Fat and depression in overweight or obese individuals: evidence from NHANES.

Depression is a common mental illness with a high prevalence in overweight or obese individuals. Recent studies suggest that the Metabolic Score for Visceral Fat (METS-VF) is a novel metric for assessing visceral fat levels, potentially linking metabolic disturbances to depression. This study explores the association between METS-VF and depression severity in overweight or obese U.S. adults. Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007-2018 dataset, including 9,415 overweight or obese participants. Depression severity was measured using the Patient Health Questionnaire-9 (PHQ-9). To assess the association between METS-VF and depression, the study methodology included multivariate logistic regression, subgroup analyses, generalized additive model (GAM), and smoothed curve fitting. This study also calculated BMI for the Non-Hispanic Asian population from 2011-2018 and incorporated this data as part of a sensitivity analysis. Elevated levels of METS-VF in overweight or obese participants were significantly associated with increased PHQ-9 scores and an increased likelihood of depression. Notably, this association remained significant after adjustment for multiple covariates. Smoothed curve-fitting plots showed no nonlinear association between METS-VF and PHQ-9 scores. Subgroup analyses confirmed the robustness of these results across populations, particularly among people under the age of fifty. The sensitivity analyses confirmed the robustness of the results in this study. METS-VF levels were positively associated with depression severity and the likelihood of depression in overweight or obese individuals, with the association being particularly pronounced in people under 50 years of age.

Inverse Association Between Mothers' Cognitive Social Capital During Pregnancy and Postpartum Depression: The Japan Environment and Children's Study.

Several studies have reported an apparent inverse association between cognitive social capital and depression in various groups, but insights into this association in perinatal mothers are fairly limited. Therefore, we explored the possible associations between expectant mothers' cognitive social capital (ie, neighborhood trust and reciprocity and generalized trust and reciprocity) and postpartum depression at 1 and 6 months after delivery. As part of an ongoing cohort study, the Japan Environment and Children's Study, cognitive social capital was evaluated using a questionnaire survey during mid-late pregnancy and postpartum depression was assessed using the Japanese version of the Edinburgh Postnatal Depression Scale. This study analyzed data from 81,670 mothers. Logistic regression analysis was performed to calculate the odds ratios (ORs) for postpartum depression by the degree of neighborhood and generalized trust and reciprocity (high, relatively high, neutral, relatively low, and low) using the high category as a reference. Regardless of the measurement time point, prevalence gradually increased as the degree of neighborhood trust decreased (all p < 0.001), suggesting a higher likelihood of postpartum depression with less neighborhood trust. A comparable tendency was also observed for the other three variables of cognitive social capital (all p < 0.001). Moreover, the inverse association of postpartum depression with generalized trust and reciprocity was markedly stronger (ORs for low category ≥ 2.70) than that with neighborhood trust and reciprocity (ORs for low category ≤ 1.96). Our findings highlight a statistically significant inverse association between cognitive social capital during pregnancy and postpartum depression at both time points.

Prevalence of depression among basic years medical students in Qassim University and Imam Abdulrahman Bin Faisal University

Background: Depression is one of the most prevalent psychiatric diseases, manifesting through a variety of mental and physical symptoms such as restless sleep, loss of interest, low mood, exhaustion, and attention issues. This study aims to determine the prevalence of depression among medical students at Qassim University (QU) and Imam Abdulrahman University (IAU). Methods: An online survey was used to assess the prevalence of depression among 1st, 2nd, and 3rd-year medical students at QU and IAU in Saudi Arabia. The survey included the Patient Health Questionnaire-9 (PHQ-9), a validated tool for measuring depression severity. Results: This study investigated depression risk factors among medical students in Saudi Arabia. In QU, a higher GPA (&amp;ge;4) was associated with a significantly lower likelihood of depression (84.2% less likely). In IAU, while no factors were significant at the stricter p

Social Support, Parenting Self-Efficacy, and Postpartum Depression Among Chinese Parents: The Actor-Partner Interdependence Mediation Model.

Postpartum depression affects both mothers and fathers. This study aimed to examine the relationships between social support, parenting self-efficacy, and postpartum depression in Chinese mothers and fathers and assess the mediating effect of parenting self-efficacy using a dyadic perspective. A cross-sectional study was implemented from December 2020 to July 2021 in Guangzhou, China, with 309 pairs of parents. The Edinburgh Postnatal Depression Scale, Social Support Rating Scale, Parenting Sense of Competence Scale-Efficacy subscale, and sociodemographic data sheet were completed by both parents. Dyadic analysis was conducted using the actor-partner interdependence mediation model. An actor effect is the relationship between variables within an individual, whereas a partner effect is the relationship between variables in the individual and the dyadic partner. In total, 20.7% of mothers and 11.7% of fathers had elevated postpartum depressive symptoms at 6 weeks postpartum. The model revealed 6 actor effects: social support was positively associated with parenting self-efficacy for mothers (β, 0.39; 95% CI, 0.28-0.49) and fathers (β, 0.39; 95% CI, 0.30-0.48) and negatively associated with postpartum depression for mothers (β, -0.22; 95% CI, -0.32 to -0.12) and fathers (β, -0.37; 95% CI, -0.48 to -0.26). Parenting self-efficacy was negatively associated with postpartum depression in mothers (β, -0.41; 95% CI, -0.53 to -0.29) and fathers (β, -0.24; 95% CI, -0.37 to -0.12). Maternal social support had a partner effect on paternal parenting self-efficacy (β, 0.14; 95% CI, 0.04-0.24). Parenting self-efficacy mediated between social support and postpartum depression for both parents (mothers: β, -0.16; 95% CI, -0.23 to -0.10; fathers: β, -0.10; 95% CI, -0.16 to -0.05). Postpartum depression was a dyadic phenomenon. Increasing mother-centered social support has the potential to improve the parenting self-efficacy of both parents and reduce the likelihood of postpartum depression.

EFFECT OF EARLY-LIFE DISCRIMINATION IN PARENTING ON THE PHYSICAL AND MENTAL HEALTH OF MIDDLE-AGED AND OLDER ADULTS

Abstract This study aimed to explore the early-life discrimination in parenting on the physical and mental well-being of middle-aged and older adults, while also exploring the potential mediating role of early-life health. By combined data from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 and related life history survey in 2014, 8204 females and 7305 males aged 45-84 were analyzed in this study. Logistic regression was employed to analyze the association between early-life discrimination in parenting and the incidence of chronic diseases as well as depression in middle-aged and older individuals. The KHB method was used to assess the mediating effect of early-life health in these connections. Regarding gender-based discrimination in parenting, parental preference for sons during early life was found escalated the probability of chronic diseases by 18% (OR=1.18, 95%CI: 1.01-1.38) and increased depression risk by 16% (OR=1.16, 95%CI: 1.03-1.31) among middle-aged and older females. In terms of sibling-related discrimination, parental inclination towards specific siblings heightened the likelihood of depression during middle and older years among females (OR=1.17, 95%CI: 1.03-1.34). However, these effects were not significant in males. The study further identified that early-life health partially mediated the influence of gender-based parental preferences on the mental well-being of middle-aged and older females, accounting for 8.603% of the overall effect. These findings underscored the potential for early-life discrimination within parenting to impact both the physical and mental health of middle-aged and older females by shaping their early-life health status, consequently resonating throughout their mental well-being in later life.

Patterns of Adverse Childhood Experiences and Psychiatric Disorders Among Adolescents with ADHD: A Latent Class Analysis.

There is limited existing research on whether specific combinations of Adverse Childhood Experiences (ACEs) are associated with different psychiatric disorders among adolescents with ADHD. This study aimed to address this gap by identifying classes of ACEs and examining their association with behavioral problems, anxiety, and depression in adolescents with ADHD aged 11-17 (n = 1,806), using data from the 2018 National Survey of Children's Health (NSCH). A latent class analysis revealed a four-class solution: (1) low-risk ACEs (61.6%), (2) moderate-risk ACEs (25.2%), (3) high discrimination and neighborhood violence exposure (7.6%), and (4) high-risk ACEs (5.6%). The "high-risk ACEs" and the "high discrimination and neighborhood violence exposure" class showed a higher likelihood of behavioral problems and depression, and anxiety and depression respectively. These findings provide some insight into the ACE patterns that are more likely to be associated with mental health problems among adolescents with ADHD.