Prior Depression Research Articles

Mental Health, Socioeconomic Position, and Oral Health: A Path Analysis.

Mental health conditions and poor oral health outcomes share bidirectional links, and both are linked to factors related to socioeconomic position (SEP). We used nationally representative survey data to describe the complex interplay of SEP, mental health, oral health behaviors, dental treatment seeking, and oral health. We used data from the 2022 State of Oral Health Equity in America survey, which collects data from US adults on prior depression diagnosis and current depressive symptoms via the Patient Health Questionnaire-9 and demographic characteristics (age, sex/gender, race, ethnicity), SEP (education, income, employment, home ownership, dental insurance), oral health behaviors (brushing and flossing frequency), dental treatment seeking (time since last visit, plans for visit in the coming year), and self-rated oral health (feeling self-conscious due to poor oral health, having symptoms of poor oral health). We used structural equation modeling to identify latent variables and fit the path analytic models. In the total sample (N = 5,682), SEP was significantly associated with dental treatment seeking (standardized parameter estimate [SE] = 0.55 [0.05]), oral health behaviors (standardized parameter estimate [SE] = 0.34 [0.04]), and mental health (standardized parameter estimate [SE] = 0.59 [0.05]). These factors, in turn, were significantly associated with self-rated oral health (estimates ranging from 0.20 to 0.54, SEs ranging from 0.04 to 0.05). SEP, which involves several major social determinants of health, is directly associated with mental health and indirectly associated with self-rated oral health status, with mental health modifying the relationship between SEP and self-rated oral health. Findings emphasize the need to integrate medical, dental, and behavioral health with the goal of providing comprehensive person-centered care.

After Primary Total Shoulder Arthroplasty, Factors Associated with Returning to the Same Surgeon for Subsequent Total Shoulder Arthroplasty.

Total shoulder arthroplasty (TSA) is commonly done for degenerative conditions. Patients may need additional contralateral TSA or ipsilateral revision TSA. As a marker of patient satisfaction and practice integrity, factors associated with return to the same or different surgeon are of interest. Patients undergoing TSA were abstracted from the PearlDiver data set. Subsequent TSA within 2 years was identified. Factors analyzed included age, sex, comorbidity burden, prior depression diagnosis, insurance type, reverse versus anatomic TSA, ipsilateral versus contralateral surgery, and postoperative adverse events. Patients returning to the same surgeon versus different surgeon were compared with multivariable analysis. 98,048 TSA patients were identified, with 8483 patients (8.7%) undergoing subsequent TSA within 2 years. Of those, 1,237 (14.6%) chose a different surgeon. Factors associated with changing surgeons were revision surgery on the ipsilateral shoulder (OR:2.47), Medicaid insurance (OR:1.46), female sex (OR:1.36), any adverse events (OR:1.23), and higher Elixhauser Comorbidity Index (OR:1.07 per point), while prior depression diagnosis was associated with decreased odds (OR:0.74) of changing surgeon (P < 0.05 for all). When pursuing a subsequent TSA, only a minority of patients changed to a different surgeon. Factors identified associated with changing to a different surgeon may help guide measures to improve patient satisfaction and practice integrity.

Cognitive Impairment and Risk of Depressive Episodes from a Bipolar Spectrum Perspective: A Case-Control Study in Older Adults during the COVID-19 Lockdown

Background: A wide range of conditions, including mixed depressive symptoms, hyperactivity, cognitive impairment (CI) might be expressions of Bipolar Spectrum Disorder (BSD) according to the neo-Kraepelinian perspective, even in advanced age. CI, which has a high prevalence in the elderly population, when it occurs in comorbidity with depression further hinders therapy response and functional ability. The present study aims to explore risk factors associated with CI in elderly individuals experiencing a depressive episode during lockdown a period marked by significant stressors and rhythm disruption. Methods: A case-control study analyzed data from a previous RCT (secondary analyses) on elderly individuals living at home, assessing depressive symptoms, cognitive performance, hyperactivity, and hypertension before (T0) and during lockdown (T1). Results: Participants with lower pre-pandemic cognitive performance were more prone to lockdown depression compared to those with higher baseline function (F = 6.074; p = 0.016). Among those experiencing lockdown depression without prior depression, those with low cognitive performance were more prevalent than the control group without depression (OR = 11.8; p = 0.015). Conclusion: This study highlights a potentially vulnerable subgroup within the elderly population that requires targeted interventions and support during stressful events. Future research should explore the underlying mechanisms linking cognitive decline and depression in older adults, particularly those with a possible bipolar spectrum predisposition.

Analysis of Depression and Anxiety Scores Following Initiation of Elexacaftor/Tezacaftor/Ivacaftor in Adults With Cystic Fibrosis.

Elexacaftor/tezacaftor/ivacaftor (E/T/I) has provided life-changing pharmacotherapy for many people with cystic fibrosis (CF), but conflicting literature exists regarding the effect on mental health. While some reports suggest E/T/I may induce adverse psychiatric symptoms, others report improvements in mental health symptoms. To add to this growing body of knowledge, we retrospectively analyzed depression and anxiety symptoms before and after E/T/I initiation in adults with CF at a single large US CF center. Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) scores recorded in a database were studied. Patients with scores collected before and after E/T/I initiation were included. Regression analyses described associations between score changes and age, race, ethnicity, sex, CFTR variant, and prior depression and/or anxiety diagnoses. Secondary analyses examined possible confounding effects of the COVID-19 pandemic. There was no change in mean GAD-7 (0.5 ± 5.3, p = 0.41) or PHQ-9 (-0.02 ± 6.0, p = 0.97) scores following initiation of E/T/I (N = 86). A trend between a prior diagnosis of depression and worsening in PHQ-9 post-E/T/I was observed (OR 3.58; p = 0.054). Treatment with E/T/I does not lead to changes in depression or anxiety symptoms at the population level in this single center cohort study. A prior diagnosis of depression trended towards an increased odds of worsening PHQ-9 scores after E/T/I initiation.

Unravelling the impact of prior depression and trauma-related cognitive processes on depression following trauma: A 2-year prospective study of burn survivors

ObjectiveIndividuals with severe burn injuries may develop depression, yet knowledge about psychological risk factors for depression following trauma is limited. This study investigated the prospective impact and interplay of prior depression and trauma-related cognitive processes (posttraumatic negative appraisals and trauma-related rumination) to depressive symptoms between 6 and 24 months after burn injury. MethodTaiwanese adult survivors of burn (N = 118) participated in surveys immediately post-burn and at 6-, 12-, and 24-months follow-up. Participants were 7 5% men, with an average age of 41.8 years and an average of TBSA of 18.3%. ResultsA total of 8.5%, 5.9%, and 4.2% met criteria for probable major depression at 6, 12, and 24 months post-burn, respectively. The prevalence increased to 23.7%, 11.0%, and 5.9% using the cutoff on the PHQ-9. Prior depression and trauma-related cognitive processes immediately post-burn explained 13.5%, 20.5%, and 18.6% of the variance in depressive symptoms at 6, 12, and 24 months post-burn, respectively. Posttraumatic negative appraisals strongly predicted depressive symptoms post-burn across follow-ups. Moreover, posttraumatic negative appraisals significantly mediated the effect of prior depression on subsequent depressive symptoms across follow-ups. Prior depression significantly moderated the effect of trauma-related rumination on depressive symptoms at 6 months post-burn. ConclusionsOur results are the first to demonstrate the role and interplay of prior depression and trauma-related cognitive processes in post-burn depression. Findings highlight that pre-and post-trauma psychological factors jointly affect depression following trauma, broadening the applicability of cognitive theories of PTSD.

Incidence and Predictors of Postpartum Depression Diagnoses among Active-Duty U.S. Army Soldiers.

Introduction: Understanding the incidence and predictors of postpartum depression (PPD) among active-duty service members is critical given the importance of this population and its unique stressors. Methods: We conducted a retrospective cohort study of all active-duty U.S. Army soldiers with a record of at least one live-birth delivery between January 2012 and December 2013. Multivariate logistic regression models were used to estimate associations between demographic, health-related, and military-specific variables and diagnoses of PPD in the total population (N = 4,178) as well as in a subpopulation without a record of depression before delivery (N = 3,615). Results: The overall incidence of PPD diagnoses was 15.9% (N = 664 cases) among the total population and 10.4% (N = 376 cases) among those without prior depression. Statistically significant predictors of PPD in the adjusted model included lower pay grade, a higher number of prior deployments, a higher number of child dependents, tobacco use, and a history of depression or anxiety before or during pregnancy. For soldiers without a history of depression, lower pay grade, and a history of anxiety before or during pregnancy were significantly associated with PPD. Conclusions: Knowing the predictors of overall and novel onset PPD diagnoses in this population could help establish clearer guidelines on PPD prevention, screening, management, and return to duty.

Sexual harassment, sexual violence and subsequent depression and anxiety symptoms among Swedish university students: a cohort study

PurposeTo determine the gender-specific impact of recent exposure to different forms of sexual harassment and sexual violence (SHV) on depression and anxiety symptoms three, six, and nine months later.MethodsWe recruited 2229 women and 1274 men studying at Swedish universities and followed them with web-surveys every three months over one year. We estimated mean differences (MDs) of depression and anxiety symptoms between exposed and unexposed at each follow-up, adjusting for prior SHV, prior depression and anxiety symptoms and potential confounders.ResultsFor women, sexual harassment (wide subjective definition) was associated with higher symptom levels of depression (MD 1.0 [95% CI: 0.3; 1.7]) and anxiety (MD 0.8 [95% CI: 0.3; 1.4]) three months later. Unwanted sexual attention was associated with higher symptom levels of anxiety three (MD 0.5 [95% CI: 0.1; 0.8]) and six months later (MD 0.4 [95% CI: 0.0; 0.7]). Exposure to sex against ones will was associated with higher depression symptoms three (MD 1.7 [95% CI: 0.1;3.4]), and six months later (MD 3.1 [95% CI: 1.0; 5.2]). Trends indicated that associations with subsequent mental health differed between forms of SHV among women, and that most associations were more pronounced in temporal proximity to the exposures. For men, we refrain from interpreting the results since they showed high variability and were not robust to sensitivity analyses using multiple imputation to account for missing outcome data.ConclusionsAmong women, several forms of SHV were associated with higher subsequent depression and anxiety symptoms.

A novel smartphone application to prevent postpartum depression adapted from an evidence-based cognitive behavioral therapy program: Individual end-user interviews to optimize the intervention.

Postpartum depression (PPD) is more common among pregnant patients who have unmet social needs, such as financial stress or food insecurity, compared to those who do not. Mothers and Babies (MB) is a cognitive behavioral therapy (CBT)-based program that prevents up to 50% of de novo PPD when provided in-person to low-income Spanish- and English-speaking pregnant people without depression. MB's reach has been limited by the need for trained personnel to support the program. Transforming MB into a smartphone application (app) may mitigate this key barrier to scaling MB. To utilize qualitative data from target end-users to create and optimize MBapp, a novel app centered on the MB program. Draft wireframes of MBapp were created in English and Spanish with CBT-based modules adapted from MB. These wireframes included several features shown previously to sustain app engagement: 1) push notifications delivered at participant-preferred times; 2) text-, graphic-, and video-based content; and 3) gamification with digital rewards for app engagement. English- or Spanish-speaking individuals with public health insurance who were between 32 weeks' gestation and six months postpartum and owned smartphones were eligible to consent for individual in-depth interviews. Individuals with prior or current depression were excluded. Interviews were recorded, transcribed, and analyzed using deductive and inductive codes to characterize opinions about MBapp and perceptions of challenges and facilitators of use of MBapp or other perinatal or mental health apps. End-user feedback led to major modifications to the wireframes. Each of these changes was categorized according to the Framework for Modification and Adaptation (FRAME), an established method of systematically reporting adaptations and modifications to evidence-based interventions via end-user feedback. Recruitment ceased with content saturation, defined as three successive participants providing only positive feedback on MBapp's wireframe, without further suggestions for improvement. 25 interviews were completed. Participants were racially and ethnically diverse, generally representing our target end-user population, and 48% of interviews were conducted in Spanish. Participants' suggestions to improve MBapp were categorized within the FRAME as adaptations that improved either content or context to optimize reach, retention, engagement, and fit for end users. Specifically, the following features were added to MBapp secondary to end-user feedback: 1) audio narration; 2) "ask a clinician" non-urgent questions; 3) on-demand module summaries accessible upon module completion; and 4) choice to defer assessments and start the next module. Participants also provided insights into features of perinatal or mental health apps they found appealing or unappealing to understand preferences, challenges, and (non)negotiables for MBapp. Adapting MBapp to incorporate end users' perspectives optimized our digital PPD prevention intervention, ideally increasing its appeal to future users. Our team's next steps will confirm that MBapp is a feasible, acceptable intervention among English- and Spanish-speaking perinatal people at risk of PPD.

Psychological distress over 12 months post-diagnosis in an early inflammatory arthritis cohort.

People with inflammatory arthritis (IA) experience worsened mental wellbeing alongside disease progression. Using the National Early Inflammatory Arthritis Audit (NEIAA), we assessed trends in psychological distress during 12-months following IA diagnosis, mapping these against clinical outcomes to identify associations. This is a prospective study of people recruited to NEIAA receiving an IA diagnosis and completing the baseline patient survey. Patient reported outcomes (PROs) at baseline, 3-months and 12-months were collected, including psychological distress (assessed using Patient Health Questionnaire Anxiety and Depression Screener (PHQ4ADS)). Mixed effects linear regression models estimated associations between predictor variables with psychological distress at baseline and over time. Of 6,873 eligible patients, 3,451 (50.2%) showed psychological distress at baseline. Of those completing follow-ups, 30.0% and 24.1% were distressed at 3-months and 12-months, respectively. Higher psychological distress at diagnosis was more commonly reported by younger, female, and non-white patients. Clinical factors, including higher counts of comorbidities, prior depression, and higher disease activity at diagnosis were associated with higher distress. Higher distress at baseline was associated with poorer outcomes over time in quality of life, disability, work performance, disease activity, as well as reduced likelihood of achieving good treatment response by EULAR criteria. Half of patients with IA show significant mental health comorbidity at presentation, which associated with worse disease outcomes and quality of life. Screening for anxiety and depression should be a universal standard, and access to effective mood therapies alongside arthritis treatments is essential. Strategies should be culturally valid and consider multi-morbidities.

Patterns of peripartum depression and anxiety during the pre-vaccine COVID-19 pandemic

BackgroundPregnant people are vulnerable to new or worsening mental health conditions. This study aims to describe prevalence and course of depression and anxiety symptoms in pregnancy during the pre-vaccine COVID-19 pandemic.MethodsThis is a prospective cohort study of pregnant individuals with known or suspected COVID-19. Participants completed Edinburgh Postnatal Depression Scale (EPDS) and Generalized-Anxiety Disorder-7 (GAD-7) questionnaires, screening tools for depression and anxiety, at 34weeks gestational age, 6-8weeks postpartum, and 6months postpartum. Prevalence of elevated depressive and anxiety symptoms at each visit was described. Univariable logistic regression analysis was used to determine the association between demographic and clinical factors and those with elevated depression or anxiety symptoms.Results317 participants were included. The prevalence of elevated antepartum depression symptoms was 14.6%, 10.3%, and 20.6% at 34weeks gestational age, 6-8weeks postpartum, and 6months postpartum, respectively. The rate of elevated anxiety symptoms was 15.1%, 10.0%, and 17.3% at 34weeks gestational age, 6-8weeks postpartum, and 6months postpartum, respectively. A prior history of depression and/or anxiety (p’s < 0.03), as well as higher EPDS and GAD-7 scores at enrollment (p’s < 0.04) associated with elevated depression and anxiety symptoms throughout pregnancy and the postpartum period. Quarantining during pregnancy was associated with elevated anxiety symptoms at 34weeks gestational age in univariate (P = 0.027) analyses. COVID-19 diagnosis and hospitalization were not associated with elevated depression or anxiety symptoms.ConclusionsElevated depression and anxiety symptoms were prevalent throughout pregnancy and the postpartum period, particularly in those with prior depression and/or anxiety and who quarantined. Strategies that target social isolation may mitigate potential adverse consequences for pregnant people, and continued vigilance in recognition of depression and anxiety in pregnancy should be considered.

Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study

BackgroundAnxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on their overall well-being is exacerbated. Early identification of anxiety disorders using machine learning (ML) can potentially mitigate the adverse consequences associated with these disorders. MethodsWe applied ML to the data from the Canadian Longitudinal Study on Aging (CLSA) to predict the onset of anxiety disorders approximately three years in the future. We used Shapley value-based methods to determine the top factor for prediction. We also investigated whether anxiety onset can be predicted by baseline depression-related predictors alone. ResultsOur model was able to predict anxiety onset accurately (Area under the Receiver Operating Characteristic Curve or AUC = 0.814 ± 0.016 (mean ± standard deviation), balanced accuracy = 0.741 ± 0.016, sensitivity = 0.743 ± 0.033, and specificity = 0.738 ± 0.010). The top predictive factors included prior depression or mood disorder diagnosis, high frailty, anxious personality, and low emotional stability. Depression and mood disorders are well known comorbidity of anxiety; however a prior depression or mood disorder diagnosis could not predict anxiety onset without other factors. LimitationWhile our findings underscore the importance of a prior depression diagnosis in predicting anxiety, they also highlight that it alone is inadequate, signifying the necessity to incorporate additional predictors for improved prediction accuracy. ConclusionOur study showcases promising prospects for using machine learning to develop personalized prediction models for anxiety onset in middle-aged and older adults using easy-to-access survey data.

Predicting DSM-5 PTSD symptomatology 6 months to 2 years after burn: The role of early psychological risk factors

BackgroundMajor burn injuries may have long-term mental health consequences, such as posttraumatic stress disorder (PTSD). This study extended prior work to investigate DSM-5 PTSD symptoms at 6 months, 1 year, and 2 years post-burn as well as the contribution of two sets of early psychological risk factors to DSM-5 PTSD symptoms: Established PTSD risk factors (prior adjustment problems, past trauma, perception of life threat, peritraumatic emotions and dissociation) and theory-derived cognitive factors (negative appraisals of the trauma and its sequelae, memory disorganization, trauma-related rumination, and thought suppression). MethodThe current study recruited a sample of 118 adult burn patients (75.4% men, mean age 41.8, mean TBSA 18.3%) consecutively admitted to a large regional burn center in Northern Taiwan, who were assessed at 6, 12, and 24 months following their burn injury. ResultsA total of 11.0%, 5.9%, and 7.6% met probable DSM-5 PTSD at 6 months, 1 year, and 2 years post-burn, respectively. The rates rose to 15.3%, 10.2%, and 11.0% using the cutoff method. After controlling for covariates, the regression model with theory-derived cognitive factors explained an additional significant 15.9%, 17.2%, and 17.7% of the variance in DSM-5 PTSD symptoms at 6 months, 1 year, and 2 years post-burn, respectively. In contrast, the regression model with established PTSD risk factors explained an additional significant 7.2%, 14.4%, and 10.5% of the variance in DSM-5 PTSD symptoms at 6 months, 1 year, and 2 years post-burn, respectively. Of all predictors, negative appraisals of intrusions was consistently and strongly predictive of DSM-5 PTSD symptomatology post-burn across time, followed by prior depression. ConclusionsThe results underscore the role of early cognitive risk factors in the development and persistence of DSM-5 PTSD symptomatology following burn injury.

Risk of depression in persons with Alzheimer's disease: A national cohort study.

Depression is a risk factor and possible prodromal symptom of Alzheimer's disease (AD), but little is known about subsequent risk of developing depression in persons with AD. National matched cohort study was conducted of all 129,410 persons diagnosed with AD and 390,088 with all-cause dementia during 1998-2017 in Sweden, and 3,900,880 age- and sex-matched controls without dementia, who had no prior depression. Cox regression was used to compute hazard ratios (HRs) for major depression through 2018. Cumulative incidence of major depression was 13% in persons with AD and 3% in controls. Adjusting for sociodemographic factors and comorbidities, risk of major depression wasgreater than two-fold higher in women with AD (HR, 2.21; 95% confidence interval [CI], 2.11-2.32) or men with AD (2.68; 2.52-2.85), compared with controls. Similar results were found for all-cause dementia. Persons diagnosed with AD or related dementias need close follow-up for timely detection and treatment of depression. In a large cohort, women and men with AD had >2-fold subsequent risk of depression.Risks were highest in the first year (>3-fold) but remained elevated ≥3 years later.Risk of depression was highest in persons aged ≥85 years at AD diagnosis.Persons with AD need close follow-up for detection and treatment of depression.

Transgender older adults' prior military service: Mental health differences by gender identification.

Despite a proportionally higher likelihood of serving, the role of prior military service in the mental health of transgender individuals is understudied. Research on the impact of military service on mental health tends to be proximal. We examined the distal relationship between prior military service, identity stigma, and mental health among transgender older adults, drawing comparisons between transgender men and women. We conducted a series of weighted multivariate linear models to predict the relationships between prior military service, identity stigma, perceived stress, and depression among 183 transgender women and men aged 51-87 (M = 60.11, SD = 0.668) using 2014 data from the National Health, Aging, and Sexuality/Gender Study. Prior military service was negatively associated with depression and perceived stress; identity stigma was positively associated with both. Prior military service and lower depression and perceived stress were significant for transgender men, but not women. Identity stigma was significant with depression and perceived stress among transgender women, but not transgender men. Our preliminary findings suggest that prior military service may serve as a protective factor for mental health among transgender men, but not transgender women. We need to better understand how military experience interacts with other characteristics, such as differing gender identities influences the mental health of transgender service members. Further research is needed to inform underlying mechanisms whereby military service differentially impacts mental health by gender identity so all active-duty personnel can share in the many benefits that accrue from military service, including protective effects on mental health in later life. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prevalence of depressive symptoms among Hispanic/Latino ethnic subgroups during the COVID-19 pandemic.

Hispanic/Latino populations experienced disproportionate exposure to depression risk factors during the COVID-19 pandemic. While aggregated data confirm the risks of depressive symptoms among Hispanic/Latino individuals, little research uses disaggregated data to investigate these risks based on ethnic subgroups. Using the "Understanding the Impact of the Novel Coronavirus (COVID-19) and Social Distancing on Physical and Psychosocial (Mental) Health and Chronic Diseases" survey, which was distributed nationally between May 13, 2021, and January 9, 2022 (N = 5413), we estimated the prevalence of depressive symptoms among Hispanic/Latino ethnic subgroups during the pandemic. We performed descriptive analysis on a 116-item survey, which collected disaggregated data from Hispanic/Latino individuals aged ≥ 18years (n = 1181). About one-third of the participants reported depressive symptoms (31.3%), with those who self-identified as other Hispanic/Latino/Spanish origin (40.2%) reporting the highest depressive symptom prevalence. Among participants who reported depression treatment before the pandemic, the highest reports of treatment were among Puerto Rican (81.8%) participants. More than one-third of participants receiving prior depression treatment (38.7%) reported treatment interference by the pandemic, mostly among Central American individuals (50.0%). This study highlights the need for integrating more disaggregated data into public health approaches which seek to target population subgroups and reduce racial/ethnic mental health disparities.

Prevalence of Moderate to Severe Depressive Symptoms among Adults in the UAE: A Cross-sectional Study

Objective:: The objectives of the study were to assess the prevalence of moderate to severe depressive symptoms among adults aged 18 years or older, assess the relationship between the severity of depression and selected socio-demographic, psycho-social, lifestyle, and health-related factors, and identify the determinants of moderate-to-severe depressive symptoms in the adult population of 18 years and older in the United Arab Emirates (UAE). Methods:: This was a cross-sectional study conducted in the United Arab Emirates that targeted residents above 18 years of age. A research questionnaire was developed and approved by three specialists in the field, along with the Patient Health Questionnaire-9 (PHQ9). The Chi-square test was used to assess the association between variables, and multiple logistic regression analysis was used to find the predictive risk factors for moderate to severe depressive symptoms. Results:: The study encompassed a group of 562 participants, achieving a response rate of 97.33%. Initially, a Google Form was distributed electronically to the entire participant pool; however, 15 individuals declined to participate, resulting in a final sample size of 547 (n). Amongst the variables that showed significant prevalence of moderate to severe depressive symptoms were age (P &lt;0.001), sex (P &lt;0.001), marital status (P &lt;0.001), occupation classification (P &lt;0.001), religiosity (P &lt;0.001), education level (P &lt;0.001), job stress (P &lt;0.001), domicile and residence (P &lt;0.001), responsibility towards family (P &lt;0.001), post-traumatic stress disorder (PTSD) (P &lt;0.001), consumption of alcohol (P &lt;0.001), coronavirus disease pandemic (P &lt;0.001), employment status (P = 0.002), family size (P = 0.001), and smoking (P = 0.004). Amongst the variables, the subgroups that showed significant predictive factors of moderate to severe depressive symptoms were the ages between 18 and 25 years old (P = 0.01), the female gender (P &lt;0.001), and low levels of religiosity (P &lt;0.001). Conclusion:: The prevalence of moderate-to-severe depressive symptoms was 48% (n=260). In our study on the prevalence of depression, we have investigated several predictive factors, including age, gender, religiosity, and a history of prior depression diagnosis. While numerous factors contribute to depression, additional research is imperative to identify and validate additional predictive factors.

Restrictive abortion legislation and adverse mental health during pregnancy and postpartum

PurposeTo determine the impact of abortion legislation on mental health during pregnancy and postpartum and assess whether pregnancy intention mediates associations. MethodsWe quantified associations between restrictive abortion laws and stress, depression symptoms during and after pregnancy, and depression diagnoses after pregnancy using longitudinal data from Nurses’ Health Study 3 in 2010–2017 (4091 participants, 4988 pregnancies) using structural equation models with repeated measures, controlling for sociodemographics, prior depression, state economic and sociopolitical measures (unemployment rate, gender wage gap, Gini index, percentage of state legislatures who are women, Democratic governor). ResultsRestrictive abortion legislation was associated with unintended pregnancies (β = 0.127, p = 0.02). These were, in turn, associated with increased risks of stress and depression symptoms during pregnancy (total indirect effects β = 0.035, p = 0.03; β = 0.029, p = 0.03, respectively, corresponding <1% increase in probability), but not after pregnancy. ConclusionsAbortion restrictions are associated with higher proportions of unintended pregnancies, which are associated with increased risks of stress and depression during pregnancy.

Domestic violence as a risk factor of maternal filicide.

This paper will investigate precursors to maternal filicide, focusing on domestic violence. While psychosis is often well described, less frequently explored are the connections between prior trauma, domestic violence, depression, and filicide. We will discuss reasons why a woman may not disclose domestic violence and suggest possible areas for intervention. We present a case involving domestic violence, its impact on mental health, and eventual filicide. We then present an alternative scenario of the same case where filicide is considered, but is avoided. The case of the mother who experienced domestic violenceand was accused and sentenced for filicide is seen in greater relief by presenting the case in an alternative scenario with effective interventions. It is clear the availability and the ability to access community supports, such as obstetric and pediatric screening, psychiatric treatment, domestic violence shelters, intimate partner violence outreach services, parenting support groups, and hospital social work case management, tragedies such as filicide can be prevented. Traumatic early childhood experiences predispose people to a stress-response system that is more prone to inactivity and impulsivity. This can cause women in domestic violence relationships to stay, limit their options for family planning, become increasingly depressed, not seek community support, and risk impulsive action of harming their child. This risk can be mitigated by building stable relationships with their medical team, treating depression, connecting with home visitation programs, and being empowered to access contraception.

Genetic influences on depression and selection into adverse life experiences

Genome-wide association studies find that a large number of genetic variants jointly influence the risk of depression, which is summarized by polygenic indices (PGIs) of depressive symptoms and major depression. But PGIs by design remain agnostic about the causal mechanisms linking genes to depression. Meanwhile, the role of adverse life experiences in shaping depression risk is well-documented, including via gene-environment correlation. Building on theoretical work on dynamic and contingent genetic selection, we suggest that genetic influences may lead to differential selection into negative life experiences, forging gene-environment correlations that manifest in various permutations of depressive behaviors and environmental adversities. We also examine the extent to which apparent genetic influences may reflect spurious associations due to factors such as indirect genetic effects. Using data from two large surveys of middle-aged and older US adults, we investigate to what extent a PGI of depression predicts the risk of 27 different adversities. Further, to glean insights about the kinds of processes that might lead to gene-environment correlation, we augment these analyses with data from an original preregistered survey to measure cultural understandings of the behavioral dependence of various adversities. We find that the PGI predicts the risk of majority of adversities, net of class background and prior depression, and that the selection risk is greater for adversities typically perceived as being dependent on peoples’ own behaviors. Taken together, our findings suggest that the PGI of depression largely picks up the risk of behaviorally-influenced adversities, but to a lesser degree also captures other environmental influences. The results invite further exploration into the behavioral and interactional processes that lie along the pathways intervening between genetic differences and wellbeing.

Abstract TP264: Does Cerebral White Matter Disease Predict Post-Stroke Fatigue or Depression in an Afro-Caribbean Cohort?

Background and Purpose: Fatigue and depression frequently occur after ischemic stroke and are associated with worse Health-Related Quality of Life. While there has been research on the correlation between the burden of white matter disease (WMD) and the onset of depressive symptoms, this relationship has yet to be validated in patients with stroke from minority groups. Methods: An IRB-approved retrospective, cross-sectional study. The study sampled a cohort of patients aged ≥18 years old who had stroke within the last 3 years and were assessed with standardized questionnaires for fatigue (Fatigue Assessment Scale [FAS], score range 10-50) and depression (Beck’s Depression Inventory, score range 0-63). Exclusion criteria included patients with prior depression or severely disabling pre-existing conditions that would confound assessment. Patients with available MRI were evaluated using the Fazekas scale (score range 0-3), a validated visual scale (correlates significantly with automated software), to grade WMD. Grading was conducted blinded to patient's fatigue and depression scores. The collected ordinal data presented a non-parametric distribution thus was analyzed using the Spearman correlation coefficient. Results: Of 72 patients with available MRI, 96% identified as African or Caribbean; mean age = 66, median FAS score = 19 (IQR 14-26), and median BDI score = 6 (IQR 2-11). The prevalence of stroke-related disability (modified ranking scale ≥ 2) was 38%. Within the Fazekas grading, the score was 0 in 12.4%, 1 in 41.4%, 2 in 31.7%, and 3 in 13.8%. Spearman correlation coefficients showed non significant associations between WMD severity and either depression ( R s =0.058, p=0.62, 95%CI -0.17,0.29) or fatigue ( R s =0.059, p=0.62, 95% CI -0.18,0.30). Conclusion: Our results suggest no association between WMD severity and the development of post-stroke fatigue or depression in an Afro-Caribbean population. However, the lack of statistical significance might be due to limited sample size and patient heterogeneity, since few patients exhibited high scores for fatigue and depression. Additional studies are needed to validate the absence of correlation.