Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Positive relationship between bird diversity and human mental health: an analysis of repeated cross-sectional data

BACKGROUND

An increasing body of research has examined the link between biodiversity of birds and human mental health, but most studies only use cross-sectional data. Few studies have used longitudinal or repeated cross-sectional data to investigate the mental health benefits of bird diversity. The aim of this study is to analyse the relationship between bird diversity and mental health at the national level using a unique repeated cross-sectional dataset.

METHODS

I used repeated cross-sectional health data from the German National Cohort health study, collected between March, 2014, and September, 2019, and annual bird citizen science data to investigate the effects of bird-diversity exposure on mental health. Mental health was measured using the summary score of the Patient Health Questionnaire depression module 9 (SumPHQ) and the Short Form Health Survey-12 Mental Health Component Scale. As a proxy for bird diversity, I created a unique indicator called reporting-rate richness and combined it with the health data. Reporting-rate richness measures the number of bird species within postcode areas across Germany in probabilities while accounting for variation in survey efforts. Alternative indicators of bird diversity, such as bird-species richness or abundance, were also calculated. Associations between bird diversity and mental health were estimated using linear regression with region and time fixed effects, adjusted for a range of sociodemographic and environmental confounders and spatial autocorrelation. Interaction terms between income levels and reporting-rate richness were also analysed to examine the moderating effect of socioeconomic status.

FINDINGS

I did the analyses for an unbalanced (n=176 362) and balanced (n=125 423) dataset, with the balanced dataset comprising only regions (postcode areas) in which health data were available for each year. The linear fixed-effects regression analysis indicated a significant negative association between reporting-rate richness and SumPHQ, as observed in both the unbalanced dataset (β -0·02, p=0·017) and the balanced dataset (β -0·03, p=0·0037). Similarly, regression results with both datasets showed a positive relationship between reporting-rate richness and Mental Health Component Scale (MCS; unbalanced β 0·02, p=0·0086; balanced β 0·03, p=0·0018). The moderator analyses revealed a significant influence of socioeconomic status on the relationship between reporting-rate richness and mental health. The robustness of these findings was confirmed through sensitivity analyses.

INTERPRETATION

The results suggest that a greater likelihood of having many different bird species in a person's area of residence might positively contribute to mental health, especially for people with lower socioeconomic status. These findings could have implications for biodiversity conservation and health policy decisions, as governments are facing challenges such as global biodiversity loss and growing public mental health problems.

FUNDING

None.

Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users

BACKGROUND

Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficient alternative to other screening methods.

OBJECTIVE

The primary aim was to use a demographically diverse sample to validate an AI model, previously trained on human-administered interviews, on novel bot-administered interviews, and to check for algorithmic biases related to age, sex, race, and ethnicity.

METHODS

Using the Aiberry app, adults recruited via social media (N = 393) completed a brief bot-administered interview and a depression self-report form. An AI model was used to predict form scores based on interview responses alone. For all meaningful discrepancies between model inference and form score, clinicians performed a masked review to determine which one they preferred.

RESULTS

There was strong concurrent validity between the model predictions and raw self-report scores (r = 0.73, MAE = 3.3). 90 % of AI predictions either agreed with self-report or with clinical expert opinion when AI contradicted self-report. There was no differential model performance across age, sex, race, or ethnicity.

LIMITATIONS

Limitations include access restrictions (English-speaking ability and access to smartphone or computer with broadband internet) and potential self-selection of participants more favorably predisposed toward AI technology.

CONCLUSION

The Aiberry model made accurate predictions of depression severity based on remotely collected spoken responses to a bot-administered interview. This study shows promising results for the use of AI as a mental health screening tool on par with self-report measures.

Screening of Depression Among Medical Outpatients Visiting the University Teaching Hospital of Kigali, Rwanda

Background

Depression is a significant global public health concern, affecting individuals across different age groups and cultural backgrounds. However, screening for depression remains an essential but often neglected aspect of healthcare, particularly in outpatient settings. This study aimed to assess the prevalence of depression among outpatients visiting the internal medicine department of the University Teaching Hospital of Kigali in Rwanda and evaluate the feasibility of implementing a depression screening program in this setting.

Methods

An institution-based cross-sectional study design was employed, involving 300 adult medical outpatients through convenience sampling, aged 18 years and above, who visited the internal medicine department between October 7 to November 6, 2019. The Patient Health Questionnaire-9 (PHQ-9) was used as the screening tool to assess depressive symptoms. Additionally, socio-demographic and clinical data were collected to explore potential risk factors associated with depression using a binary logistic regression model.

Results

A high prevalence of depression was identified among internal medicine outpatients, with 45.7% of participants screened positive for depression, with moderate, moderately severe, and severe depression accounting for 21%, 17%, and 8%, respectively. The following factors were significantly associated with positive screening for depression: lack of formal education (OR=4.463, p=0.011, 95% CI= [1.410; 14.127]), secondary education (OR=3.402, p=0.003, 95% CI= [1.517; 7.630]), low-income (OR=2.392, p=0.049, 95% CI= [1.003; 5.706]) and headache as a chief complaint (OR=3.611, p=0.001, CI= [1.718; 7.591]).

Conclusion

This study highlights the high prevalence of depression among medical outpatients. Due to the stigma associated with mental health, patients frequently seek help for physical symptoms such as headaches and other bodily complaints rather than mental health concerns. Introducing routine depression screening in medical departments could potentially facilitate early identification, and intervention, and lead to improved patient care. Future research should focus on evaluating such screening programs' effectiveness and long-term outcomes in resource-limited settings like Rwanda.

Homoprejudiced Violence Experiences and High-Risk Sexual Behaviors among Chinese Men Who Have Sex with Men: Depression Severity and Recreational Drug Usage as Potential Mediators

Homoprejudiced violence is a type of aggression against an individual or a community based on their actual or perceived sexual orientation. It may be linked to risks of acquiring HIV/STI via psychosocial variables. This study explored the association between homoprejudiced violence experiences and high-risk sexual behaviors, and potential psychosocial mediators. Using cross-sectional survey data collected in China through Blued among men who have sex with men (MSM) in January 2021, this study conducted multiple mediation analyses. Standard instruments were used to collect data on depressive symptoms in the last two weeks (PHQ-9), recreational drug usage in the last three months, and ever experiencing homoprejudiced violence (12-item survey instrument). Dependent variables were having condomless anal sex and having three or more sexual partners in the last three months. Among 1828 MSM, nearly half (847, 46%) had experienced homoprejudiced violence. Twenty-three percent (427) reached a score that suggested moderate or severe depression and 35% (644) had used recreational drugs. In the last three months, 40% (731) had condomless anal sex and 34% (626) had three or more sexual partners. The indirect mediational coefficients through depression on condomless anal sex and multiple sexual partners were 0.04 (95% CI: [0.02, 0.07]) and 0.02 (95% CI: [0.001, 0.05]), respectively. The indirect mediational coefficient of homoprejudiced violence experience on multiple sexual partners through recreational drug use was 0.05 (95% CI: [0.03, 0.08]). These findings suggest that more comprehensive interventions are needed to address the syndemic of homoprejudiced violence, mental health issues, and HIV/STI-related risks.

Promoting good mental health over the menopause transition

The potential risk for mental health conditions over the menopause transition shapes women's expectations and informs putative physiological mechanisms regulating women's mental health. We review evidence from prospective studies reporting on associations between mental health conditions and the menopause transition. Major depressive disorder and the more prevalent subthreshold depressive symptoms are the most common conditions studied. We reviewed 12 prospective studies reporting depressive symptoms, major depressive disorder, or both over the menopause transition and found no compelling evidence for a universal increased risk for either condition. However, specific subgroups of participants, primarily defined by menopause-related risk factors (ie, vasomotor symptoms that are severe or disturb sleep, a long duration of the transition, or reproductive hormone dynamics) and psychosocial risk factors (eg, stressful life events), were vulnerable to depressive symptoms. The increased risk of major depressive disorder over the menopause transition appears predominantly in individuals with previous major depressive disorder. Greater focus on recognising risk factors in primary care is warranted. On the basis of scarce data, we found no compelling evidence that risk of anxiety, bipolar disorder, or psychosis is universally elevated over the menopause transition. Potential misattribution of psychological distress and psychiatric disorders to menopause could harm women by delaying accurate diagnosis and the initiation of effective psychotropic treatments, and by creating negative expectations for people approaching menopause. A paradigm shift is needed. We conclude with recommendations for the detection and treatment of depressive symptoms or major depressive disorder and strategies to promote good mental health over the menopause transition, while responsibly preparing and supporting those at risk.

Prevalence and correlates of depressive symptoms among matriculated university students in Singapore during Covid-19 pandemic: findings from a repeated cross-sectional analysis

BACKGROUND

Depression is a common issue among university students and has been particularly exacerbated during the COVID-19 pandemic. However, limited research has specifically focused on depression among university entrants.

OBJECTIVES

This study aimed to determine the prevalence of depression severity and identify associated factors during different phases of the COVID-19 pandemic using health screening questionnaires completed by matriculated university students in Singapore.

METHODS

A repeated cross-sectional study was conducted at a public university in Singapore. Data from health screening questionnaires administered in 2020 and 2021, involving 15,630 newly enrolled university students, were analyzed. The questionnaires covered students' sociodemographic information, physical health status, own and family medical history, lifestyle behaviours, and the Patient Health Questionnaire (PHQ-9). The PHQ-9 was used to measure the severity of depressive symptoms, categorizing into moderate to severe depressive symptoms (MSDS), mild depressive symptoms (MDS), or no depressive symptom (NDS). Multinomial logistic regression was used to assess the sociodemographic, physical and behavioural correlates of depression.

RESULTS

The prevalence of MSDS was 1% in both 2020 and 2021, while the rates for MDS were 1.93% in 2020 and 1.64% in 2021. In the 2020 cohort, male freshmen who reported better health had a lower likelihood of experiencing depression. Conversely, students of Malay ethnicity, those majoring in Engineering, those with multiple chronic diseases, monthly alcohol consumers, current smokers, and those with a family history of mental disorder had a higher likelihood of experiencing depression. Moreover, students who lived on-campus in the 2021 cohort were less likely to experience depression than those living off-campus. However, the associations between academic majors, alcohol consumption, and smoking with depression were not significant in the 2021 cohort.

CONCLUSIONS

This study reported a low prevalence of both MSDS and MDS among university entrants in Singapore. The study further identified three categories of factors associated with depression: sociodemographic, physical, and behavioural. This study suggests policy interventions to enhance targeted social support that address each student group's specific requirements and susceptibilities. A more extensive and comprehensive study is warranted to assess the changes in student mental health status post-COVID-19 pandemic.

Lessons learned from applying established cut-off values of questionnaires to detect somatic symptom disorders in primary care: a cross-sectional study

Introduction

Based on two diagnostic accuracy studies in high-prevalence settings, two distinctly different combinations of cut-off values have been recommended to identify persons at risk for somatic symptom disorder (SSD) with the combination of the Patient-Health Questionnaire-15 (PHQ-15) and the Somatic Symptom Disorder-B Criteria Scale (SSD-12). We investigated whether the reported sensitivity and specificity of both recommended cut-off combinations are transferable to primary care.

Methods

In a cross-sectional study, 420 unselected adult primary care patients completed PHQ-15 and SSD-12. Patients scoring ≥9 and ≥ 23 (recommended cut-off combination #1) or ≥ 8 and ≥ 13 (recommended cut-off combination #2) were considered test-positive for SSD, respectively. To assess the validity of the reported sensitivity and specificity in different low- to high-prevalence settings, we compared correspondingly expected proportions of test positives to the proportion observed in our sample.

Results

Based on combination #1, 38 participants (9%) were found to be test positive, far fewer than expected, based on the reported values for sensitivity and specificity (expected minimum frequency 30% with a true prevalence ≥1%). This can only be explained by a lower sensitivity and higher specificity in primary care. For combination #2, 98 participants (23%) were test positive, a finding consistent with a true prevalence of SSD of 15% or lower.

Discussion

Our analyzes strongly suggest that the sensitivity and specificity estimates reported for combination #1 are not applicable to unselected primary care patients and that the cut-off for the SSD (≥23) is too strict. Cut-off combination #2 seems more applicable but still needs to be tested in studies that compare screening findings by questionnaires with validated diagnostic interviews as reference standards in primary care populations.

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Background

The burden of depression symptoms has increased among individuals infected with SARS-CoV-2 during COVID-19 pandemic. However, the prevalence and associated factors of depressive symptoms among individuals infected with SARS-CoV-2 remain uncertain after optimizing the COVID-19 response in China.

Methods

An online cross-sectional survey was conducted among the public from January 6 to 30, 2023, using a convenience sampling method. Sociodemographic and COVID-19 pandemic-related factors were collected. The depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to explore the associated factors with depressive symptoms.

Results

A total of 2,726 participants completed the survey. The prevalence of depression symptoms was 35.3%. About 58% of the participants reported experiencing insufficient drug supply. More than 40% of participants reported that they had missed healthcare appointments or delayed treatment. One-third of participants responded experiencing a shortage of healthcare staff and a long waiting time during medical treatment. Logistic regression analysis revealed several factors that were associated with depression symptoms, including sleep difficulties (OR, 2.84; 95% CI, 2.34-3.44), chronic diseases (OR, 2.15; 95% CI, 1.64-2.82), inpatient treatment for COVID-19 (OR, 3.24; 95% CI, 2.19-4.77), with COVID-19 symptoms more than 13 days (OR, 1.30, 95% CI 1.04-1.63), re-infection with SARS-CoV-2 (OR, 1.52; 95% CI, 1.07-2.15), and the increased in demand for healthcare services (OR, 1.32; 95% CI, 1.08-1.61).

Conclusion

This study reveals a moderate prevalence of depression symptoms among individuals infected with SARS-CoV-2. The findings underscore the importance of continued focus on depressive symptoms among vulnerable individuals, including those with sleeping difficulties, chronic diseases, and inpatient treatment for COVID-19. It is necessary to provide mental health services and psychological interventions for these vulnerable groups during the COVID-19 epidemic.

Assessment of Depression in Adults and Youth

This article selectively reviews the key issues and measures for the assessment of depressive disorders and symptoms in youth and adults. The first portion of the article addresses the nature and conceptualization of depression and some key issues that must be considered in its assessment. Next, the diagnostic interview and clinician- and self-administered rating scales that are most widely used to diagnose, screen for, and assess the severity of depression in adults and youth are selectively reviewed. In addition, the assessment of three transdiagnostic clinical features (anhedonia, irritability, and suicidality) that are frequently associated with both depression and other forms of psychopathology is discussed. The article concludes with some broad recommendations for assessing depression in research and clinical practice and suggestions for future research.

Polygenic Analyses Show Important Differences Between Major Depressive Disorder Symptoms Measured Using Various Instruments

BACKGROUND

Symptoms of major depressive disorder (MDD) are commonly assessed using self-rating instruments like the Patient Health Questionnaire-9 (PHQ-9) (current symptoms) and the Composite International Diagnostic Interview Short-Form (CIDI-SF) (worst-episode symptoms). We performed a systematic comparison between them for their genetic architecture and utility in investigating MDD heterogeneity.

METHODS

Using data from the UK Biobank (n = 41,948-109,417), we assessed the single nucleotide polymorphism heritability and genetic correlation (rg) of both sets of MDD symptoms. We further compared their rg with non-MDD traits and used Mendelian randomization to assess whether either set of symptoms has more genetic sharing with non-MDD traits. We also assessed how specific each set of symptoms is to MDD using the metric polygenic risk score pleiotropy. Finally, we used genomic structural equation modeling to identify factors that explain the genetic covariance between each set of symptoms.

RESULTS

Corresponding symptoms reported through the PHQ-9 and CIDI-SF have low to moderate genetic correlations (rg = 0.43-0.87), and this cannot be fully attributed to different severity thresholds or the use of a skip structure in the CIDI-SF. Both Mendelian randomization and polygenic risk score pleiotropy analyses showed that PHQ-9 symptoms are more associated with traits that reflect general dysphoria, whereas the skip structure in the CIDI-SF allows for the identification of heterogeneity among likely MDD cases. Finally, the 2 sets of symptoms showed different factor structures in genomic structural equation modeling, reflective of their genetic differences.

CONCLUSIONS

MDD symptoms assessed using the PHQ-9 and CIDI-SF are not interchangeable; the former better indexes general dysphoria, while the latter is more informative about within-MDD heterogeneity.

Depression in Individuals With Diabetic Retinopathy in the US National Health and Nutrition Examination Survey, 2005-2008

PURPOSE

To examine the relationship between diabetic retinopathy (DR) and depression in the United States.

DESIGN

Retrospective, cross-sectional study.

METHODS

National Health and Nutrition Examination Survey (NHANES) participants between 2005 and 2008 (ages 40-85 years) were included. Prevalence of major depression among DR stages as determined by retinal imaging was estimated. Multivariable models assessed associations between depression and DR.

RESULTS

Depression was more common in those with moderate to severe DR (16%) than in those with no DR (7%), mild nonproliferative diabetic retinopathy (NPDR, 6%), or proliferative DR (5%). In a model with DR stages that adjusted for demographic factors, there was an association between moderate to severe DR and depression (odds ratio [OR], 2.46, 95% CI, 1.03-5.85).

CONCLUSIONS

Depression was more prevalent in those with moderate to severe NPDR than in those with no DR, mild NPDR, or proliferative DR. This relationship is statistically significant after adjustment for demographic factors.

Association of serum oleic acid level with depression in American adults: a cross-sectional study

BACKGROUND

As the most abundant fatty acid in plasma, oleic acid has been found to be associated with multiple neurological diseases; however, results from studies of the relationship between oleic acid and depression are inconsistent.

METHODS

This cross-sectional study analyzed 4,459 adults from the National Health and Nutrition Examination Survey 2011-2014. The following covariates were adjusted in multivariable logistic regression models: age, sex, race/ethnicity, education level, marital status, body mass index, physical activity, smoking status, alcohol status, metabolic syndrome, omega-3 polyunsaturated fatty acids, and total cholesterol.

RESULTS

Serum oleic acid levels were positively associated with depression. After adjusting for all covariates, for every 1 mmol/L increase in oleic acid levels, the prevalence of depression increased by 40% (unadjusted OR: 1.35, 95%CI: 1.16-1.57; adjusted OR: 1.40, 95% CI: 1.03-1.90).

CONCLUSIONS

Our study suggests that oleic acid may play a role in depression. Further research is needed to investigate the potential benefits of changing oleic acid levels for the treatment and prevention of depression.

Prenatal and postpartum depression diagnosis in a large health system: prevalence and disparities

BACKGROUND/OBJECTIVES/INTRODUCTION

Depression during pregnancy or postpartum carries the same risks as general depression as well as additional risks specific to pregnancy, infant health and maternal well-being. The purpose of this study is to document the prevalence of depression symptoms and diagnosis during pregnancy and in the first 3 months postpartum among a cohort of women receiving prenatal care in a large health system. Secondarily, we examine variability in screening results and diagnosis by race, ethnicity, language, economic status and other maternal characteristics during pregnancy and postpartum.

PATIENTS/MATERIALS AND METHODS

A retrospective study with two cohorts of patients screened for depression during pregnancy and postpartum. Out of 7807 patients with at least three prenatal care visits and a delivery in 2016, 6725 were screened for depression (87%) at least once during pregnancy or postpartum. Another 259 were excluded because of missing race data. The final sample consisted of 6523 prenatal care patients who were screened for depression; 4914 were screened for depression in pregnancy, 4619 were screened postpartum (0-3 months). There were 3010 screened during both periods who are present in both the pregnancy and postpartum cohorts. Depression screening results are from the Patient Health Questionnaire (PHQ-9) and diagnosis of depression was measured using ICD codes. For patients screened more than once during either time period, the highest score is used for analysis.

RESULTS

Approximately, 11% of women had a positive depression screen as indicated by an elevated PHQ-9 score (>10) during pregnancy (11.3%) or postpartum (10.7%). Prevalence of depression diagnosis was similar in the two periods: 12.6% during pregnancy and 13.0% postpartum. A diagnosis of depression during pregnancy was most prevalent among women who were age 24 and younger (19.7%), single (20.5%), publicly insured (17.8%), multiracial (24.1%) or Native American (23.8%), and among women with a history of depression in the past year (58.9%). Among women with a positive depression screen, Black women were less than half as likely as White women to receive a diagnosis in adjusted models (AOR 0.40, CI: 0.23-0.71, p = .002). This difference was not present postpartum.

CONCLUSIONS

Depression symptoms and diagnoses differ by maternal characteristics during pregnancy with some groups at substantially higher risk. Efforts to examine disparities in screening and diagnosis are needed to identify reasons for variability in prenatal depression diagnosis between Black and White women.Key messagesWomen who were young, single, have public insurance, and women who identify as multiracial or non-Hispanic (NH) Native American were most likely to have a positive depression screen or a diagnosis for depression.After adjustment for confounders, NH Black women with a positive depression screen were about half as likely to have a diagnosis of depression during pregnancy as NH White women.Awareness of the differing prevalence of depression risk screening results, diagnoses and potential for variation in diagnosis may identify opportunities to improve equity in the delivery of essential mental health care to all patients.

Depression screening in patients with aneurysmal subarachnoid haemorrhage and their caregivers: A systematic review

BACKGROUND

Depression commonly occurs after aneurysmal subarachnoid haemorrhage (aSAH) which can negatively impact patients and their caregivers. Identification and validation of depression screening instruments specifically for patients with aSAH and their caregivers has not been performed.

OBJECTIVES

The objectives of this study were to identify the common depression screening tools in patients with aSAH and their caregivers and to determine if they are validated for use in these populations.

METHODS

Medical Subject Headings and keyword search terms were used in five electronic databases to identify randomised controlled, quasi-experimental and observational studies published between 1 January 2010 and 26 June 2022. Screening, data extraction and study quality assessments were conducted by two independent reviewers.

RESULTS

Of the 3440 identified studies, 61 met inclusion, with 2 of 61 (3%) RCTs, 2 of 61 (3%) quasi-experimental, and 57 of 61 (93%) observational studies included. The majority of studies (58/61 [95%]) reported patient-only depression screening, 1 of 61 (2%) reported both patients' and caregivers' depression screening, and 2 of 61 (3%) reported caregiver-only depression screening. Nine depression screening instruments were identified. The Beck Depression Inventory-II (BDI-II) was the most commonly used (13/59; 22%), followed by the Hospital Anxiety and Depression Scale (HADS) (12/59; 20%). In the ischaemic stroke population, the BDI-II was reported to have excellent sensitivity (0.85) and specificity (0.75); the HADS was also found to have good sensitivity (0.62) and specificity (0.83) in the ischaemic stroke population. Only two depression screening instruments for caregivers were identified: HADS and Goldberg Depression Scale. Both were found to have good sensitivity (>0.80) and specificity (>0.80) in the general population.

CONCLUSION

The BDI-II and HADS were the most commonly used depression screening instruments in patients with aSAH. Neither of these instruments has been specifically validated in an aSAH population. None of the nine depression instruments were validated for patients with aSAH. Due to an insufficient number of studies in caregivers' population, validity was unable to be determined.

Depression Subtypes in Systolic Heart Failure: A Secondary Analysis From a Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is associated with an elevated risk of morbidity, mortality, hospitalization, and impaired quality of life. One potential contributor to these poor outcomes is depression. Yet the effectiveness of treatments for depression in patients with HF is mixed, perhaps due to the heterogeneity of depression.

METHODS

This secondary analysis applied latent class analysis (LCA) to data from a clinical trial to classify patients with systolic HF and comorbid depression into LCA subtypes based on depression symptom severity, and then examined whether these subtypes predicted treatment response and mental and physical health outcomes at 12 months follow-up.

RESULTS

In LCA of 629 participants (mean age 63.6 ± 12.9; 43% females), we identified 4 depression subtypes: mild (prevalence 53%), moderate (30%), moderately severe (12%), and severe (5%). The mild subtype was characterized primarily by somatic symptoms of depression (e.g., energy loss, sleep disturbance, poor appetite), while the remaining LCA subtypes additionally included nonsomatic symptoms of depression (e.g., depressed mood, anhedonia, worthlessness). At 12 months, LCA subtypes with more severe depressive symptoms reported significantly greater improvements in mental quality of life and depressive symptoms compared to the LCA mild subtype, but the incidence of cardiovascular- and noncardiovascular-related readmissions, and mortality was similar among all subtypes.

CONCLUSIONS

In patients with depression and systolic heart failure those with the LCA mild depression subtype may not meet full criteria for major depressive disorder, given the overlap between HF and somatic symptoms of depression. We recommend requiring depressed mood or anhedonia as a necessary symptom for major depressive disorder in patients with HF.

Association between Carotid Wall Shear Stress-Based Vascular Vector Flow Mapping and Cerebral Small Vessel Disease

AIM

Wall shear stress (WSS) is the frictional force caused by viscous blood flowing along the vessel wall. Decreased WSS is associated with local vascular endothelial dysfunction and atherosclerosis. The vector flow mapping (VFM) technique detects the direction of intracardiac blood flow and WSS on the vessel wall with echocardiography. In this study, we examined carotid WSS by applying the VFM technique to the carotid arteries and evaluated its relationship with cerebral small vessel disease (SVD).

METHODS

This is a single-center, prospective, observational study. We investigated the association between carotid WSS and SVD imaging, and cognitive outcomes in consecutive 113 patients with acute lacunar infarction.

RESULTS

Carotid WSS was negatively associated with age (r=-0.376, p＜0.001). Lower WSS was correlated with total SVD scores (ρ=-0.304, p=0.004), especially with enlarged perivascular space (EPVS) in the basal ganglia ＞10 (p＜0.001). The carotid intima-media thickness was not associated with the total SVD score (ρ=-0.183, p=0.052). Moreover, lower WSS was associated with executive dysfunction.

CONCLUSION

EPVS has recently been reported as a marker of early SVD imaging, and executive dysfunction is common in vascular cognitive impairment. These results suggested that decreased carotid WSS based on vascular VFM, which can be measured easily, is associated with imaging and cognitive changes in the early stages of SVD.

Association between level of compliance with COVID-19 public health measures and depressive symptoms: A cross-sectional survey of young adults in Canada and France

BACKGROUND

While compliance with preventive measures remains central to limit the spread of COVID-19, these measures critically affected mental health of young adults. We therefore investigated the association between the level of compliance with COVID-19 preventive measures and depressive symptoms among young adults in Canada and France.

METHODS

From October to December 2020, we conducted a cross-sectional online survey of young adults ages 18-29 years in Canada (n = 3246) and France (n = 2680) to collect demographic data, experiences with COVID-19 preventive measures, and mental health. Depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Compliance profiles were built using cluster analysis. Weighted multivariable logistic regression was used to estimate associations between compliance level and major depressive symptoms (PHQ-9 score≥15) in each country.

RESULTS

One third of respondents reported major depressive symptoms (Canada: 36.4%, France: 23.4%). Four compliance profiles were identified: high (42.5%), medium-high (21.7%), medium-low (18.1%), and low (17.7%), with high levels more frequently observed in Canada compared to France. In both countries, participants in low compliance profile (Canada: Adjusted Odds Ratio (AOR) [95% Confidence Interval] 0.75 [0.58, 0.98], France: AOR 0.60 [0.46, 0.75]), in the medium-low (Canada: AOR 0.58 [0.48, 0.72], France: AOR 0.81 [0.66, 1.01]), and medium-high compliance profiles (Canada: AOR 0.78 [0.65, 0.93], France: AOR 0.77 [0.63, 0.93]) were less likely to report major depressive symptoms compared to the high compliance profile. Ethno-racial minorities, sexual and gender minority, and unemployed young adults had higher odds of reporting such symptoms.

CONCLUSIONS

Major depressive symptoms were associated with high compliance with COVID-19 preventive measures among young adults. The implementation of socially-isolating measures should be coupled with mental health interventions to address mental health needs of young adults, with enhanced supports for sub-groups who are structurally disadvantaged (e.g., racialized, unemployed, sexual and gender minority).

Depression and anxiety in glioma patients

AbstractGlioma patients carry the burden of having both a progressive neurological disease and cancer, and may face a variety of symptoms, including depression and anxiety. These symptoms are highly prevalent in glioma patients (median point prevalence ranging from 16-41% for depression and 24-48% for anxiety when assessed by self-report questionnaires) and have a major impact on health-related quality of life and even overall survival time. A worse overall survival time for glioma patients with depressive symptoms might be due to tumor progression and/or its supportive treatment causing depressive symptoms, an increased risk of suicide or other (unknown) factors. Much is still unclear about the etiology of depressive and anxiety symptoms in glioma. These psychiatric symptoms often find their cause in a combination of neurophysiological and psychological factors, such as the tumor and/or its treatment. Although these patients have a particular idiosyncrasy, standard treatment guidelines for depressive and anxiety disorders apply, generally recommending psychological and pharmacological treatment. Only a few nonpharmacological trials have been conducted evaluating the efficacy of psychological treatments (eg, a reminiscence therapy-based care program) in this population, which significantly reduced depressive and anxiety symptoms. No pharmacological trials have been conducted in glioma patients specifically. More well-designed trials evaluating the efficacy of nonpharmacological treatments for depressive and anxiety disorders in glioma are urgently needed to successfully treat psychiatric symptoms in brain tumor patients and to improve (health-related) quality of life.

A scoping review of the methodological quality of research on mental health of healthcare professionals in low- and lower-middle income countries

Background: SARS-CoV-2 has resulted in widespread awareness of health workers' work realities and their mental health impacts, and corresponding unprecedented research effort. Reviews of the quantitative literature on mental health of clinical skilled healthcare personnel in low- and lower-middle income countries (LLMIC), however, point at quality issues in the pre-pandemic literature. We used the evidence generated in the context of one pre-pandemic review to understand methodological strengths and weaknesses in detail, with the aim of distilling recommendations for future research. Methods: Our study used the literature identified in a systematic search from inception to the end of 2020, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. Following a scoping review approach, we extracted and charted data on key study characteristics as well as on study quality. In regard to the latter, we developed nine quality criteria on the basis of existing quality checklists, but expanding on issues of particular relevance to the measurement and interpretation of levels of mental health or illness. We collated the charted data in descriptive fashion. Results: We included data from 152 studies, which assessed a range of mental health outcomes, although most burnout. Most studies were conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. We judged only 20% of studies as of high quality due to shortcomings particularly regarding sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. Conclusion: We conclude that despite its impressive size, we can learn comparatively little from the body of literature up to the end of 2020 due to narrow study focus on specific settings and strong limitations in quality. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research. PROSPERO Registration: CRD42019140036.

Prevalence of depression and association with all-cause and cardiovascular mortality among individuals with type 2 diabetes: a cohort study based on NHANES 2005-2018 data

BACKGROUND

Individuals with diabetes have increased risk of depression, but there are limited nationally representative studies on this topic. We aimed to investigate the prevalence and predictors of depression, as well as its impact on all-cause and cardiovascular mortality in adults with type 2 diabetes (T2DM) using a prospective cohort study and a representative sample of the U.S.

POPULATION

METHODS

We analyzed National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018 and linked it with the most recent publicly available National Death Index (NDI) data. Individuals aged 20 years or old who had depression measurements were included. Depression was defined as a Patient Health Questionnaire (PHQ-9) score ≥ 10, and categorized into moderate (10-14 points) and moderately severe to severe (≥ 15 points). Cox proportional hazard models were used to estimate the association between depression and mortality.

RESULTS

Among 5695 participants with T2DM, 11.6% had depression. Depression was associated with female gender, younger age, overweight, lower education, being unmarried, smoking, and a history of coronary heart disease and stroke. During a mean follow-up period of 78.2 months, 1161 all-cause deaths occurred. Total depression and moderately severe to severe depression significantly increased all-cause mortality (adjusted hazard ratio [aHR] 1.36, 95% CI [1.09-1.70]; 1.67 [1.19-2.34]) and non-cardiovascular mortality (aHR 1.36, 95% CI [1.04-1.78]; 1.78, 95% CI [1.20-2.64]), but not cardiovascular mortality. Subgroup analysis showed a significant association between total depression and all-cause mortality in males (aHR 1.46, 95% CI [1.08-1.98]) and those aged 60 years or older (aHR 1.35, 95% CI [1.02-1.78]). Any severity of depression was not significantly associated with cardiovascular mortality in age- or gender- stratified subgroups.

CONCLUSIONS

In a nationally representative sample of U.S. adults with T2DM, approximately 10% experienced depression. Depression did not significantly associate with cardiovascular mortality. However, comorbid depression in T2DM patients increased the risk of all-cause and non-cardiovascular mortality. The impact of depression on mortality varied across subgroups. Therefore, healthcare providers should consider incorporating depression screening and management into routine care, especially for subgroups with specific risk factors, due to the increased risk of all-cause mortality in T2DM patients with depression.

What is the Prevalence of General Anxiety Disorder and Depression Symptoms in Semi-elite Australian Football Players: A Cross-Sectional Study

BACKGROUND

The prevalence of anxiety and depression symptoms in semi-elite Australian footballers is unknown. The primary objective of this study was to determine the prevalence of generalised anxiety disorder (GAD) and depressive symptoms in semi-elite Australian Football players. Our secondary objective was to explore the association between demographic and football-specific factors with GAD and depressive symptoms. A cross-sectional epidemiological study including 369 semi-elite Western Australian Football League (WAFL) players from the Men and Women's 2022 season (n = 337 men, 91%) was conducted. Symptoms of depression were measured using the Patient Health Questionnaire-9 scale (PHQ-9) and symptoms of GAD with the GAD-7 scale.

RESULTS

Our response rate was 82.9%. Thirteen players had missing data. The prevalence of GAD symptoms was 8.5% in men and 28.6% in women (10% overall). The prevalence of depressive symptoms was 20% in men and 57% in women (23% overall). Being a woman (gender) was associated with a sevenfold increased risk of GAD and/or depression symptoms [odds ratio (OR): 7.33, 95% confidence interval (CI): 3.18-16.92; p < 0.001]. Players of 'Aboriginal or Torres Strait Islander' ethnicity were two times more likely to report GAD and/or depression symptoms in comparison to players of 'Australian' ethnicity (OR: 2.13; 95% CI: 1.01-4.49; p = 0.048). Concussion history was not a significant risk factor for GAD or depression symptoms.

CONCLUSION

This study demonstrated that approximately 1 in 10 WAFL players met the diagnostic cut-off criteria for probable GAD, and 1 in 5 for probable depression. The prevalence for depression symptoms in this study were far higher than the national average in the comparative age bracket. WAFL women's players also reported a substantially higher prevalence of GAD and depressive symptoms than men, and should be further investigated as a priority by the WAFL.

The genetic basis of major depressive disorder

The genetic dissection of major depressive disorder (MDD) ranks as one of the success stories of psychiatric genetics, with genome-wide association studies (GWAS) identifying 178 genetic risk loci and proposing more than 200 candidate genes. However, the GWAS results derive from the analysis of cohorts in which most cases are diagnosed by minimal phenotyping, a method that has low specificity. I review data indicating that there is a large genetic component unique to MDD that remains inaccessible to minimal phenotyping strategies and that the majority of genetic risk loci identified with minimal phenotyping approaches are unlikely to be MDD risk loci. I show that inventive uses of biobank data, novel imputation methods, combined with more interviewer diagnosed cases, can identify loci that contribute to the episodic severe shifts of mood, and neurovegetative and cognitive changes that are central to MDD. Furthermore, new theories about the nature and causes of MDD, drawing upon advances in neuroscience and psychology, can provide handles on how best to interpret and exploit genetic mapping results.

Results from a living systematic review of the prevalence of mood and anxiety disorders and factors associated with symptoms in systemic sclerosis

We aimed to synthesize evidence on (1) the prevalence of mood and anxiety disorders and (2) factors associated with symptoms in systemic sclerosis (SSc). We searched MEDLINE, CINAHL, EMBASE, Cochrane CENTRAL, and PsycINFO via an ongoing living systematic review with automated monthly searches. We identified 6 eligible studies through March 1, 2023. Based on 3 studies (N = 93 to 345), current or 30-day major depressive disorder prevalence was 4% (95% confidence interval [CI] 2%, 6%) in a sample of Canadian outpatients (N = 345), 18% (95% CI 12%, 27%) in a study of Indian outpatients (N = 93), 10% (95% CI 4%, 21%) for French patient conference attendees (N = 51), and 29% (95% CI 18%, 42%) for French inpatients (N = 49). Current or 30-day prevalence of any anxiety disorder was 49% (95% CI 36%, 62%) for French conference attendees and 51% (95% CI 38%, 64%) for French inpatients; current or 30-day prevalence of generalized anxiety disorder was 3% for Indian outpatients (95% CI 1%, 9%; N = 93). In 3 studies (N = 114 to 376) that examined factors associated with depressive symptoms, higher education and being married or living as married were associated with lower symptoms and pulmonary involvement, breathing problems, and tender joint counts with higher symptoms; age and disease severity markers were not associated. Only 1 study (N = 114) assessed factors associated with anxiety symptoms and found no statistically significant associations. Limitations included heterogeneous populations and assessment methods, small samples, and substantial risk of bias concerns. Mood and anxiety disorder prevalence appear high in SSc, but estimates vary, and existing studies have important limitations. Future research should assess mood and anxiety prevalence and factors associated with symptoms using large representative samples and validated classification and assessment methods.Review registration: PROSPERO (CRD 42021251339).

Impact of Loneliness and Social Isolation on Mental Health Outcomes Among Individuals With Rheumatic Diseases During the COVID-19 Pandemic

OBJECTIVE

The study objective was to assess mental and social health outcomes for individuals with rheumatic disease during the COVID-19 pandemic and evaluate the relationship of loneliness and social isolation with depression and anxiety.

METHODS

We administered an international cross-sectional online survey to individuals with rheumatic disease(s) (≥18 years) between April 2020 and September 2020, with a follow-up survey from December 2020 to February 2021. We used questionnaires to evaluate loneliness (3-item UCLA Loneliness Scale [UCLA-3]), social isolation (Lubben Social Network Scale [LSNS-6]), depression (Patient Health Questionnaire [PHQ-9]), and anxiety (Generalized Anxiety Disorder 7-item [GAD-7] Scale). We used multivariable linear regression models to evaluate the cross-sectional associations of loneliness and social isolation with depression and anxiety at baseline.

RESULTS

Seven hundred eighteen individuals (91.4% women, mean age: 45.4 ± 14.2 years) participated in the baseline survey, and 344 completed the follow-up survey. Overall, 51.1% of participants experienced loneliness (UCLA-3 score ≥6) and 30.3% experienced social isolation (LSNS-6 score <12) at baseline. Depression (PHQ-9 score ≥10) and anxiety (GAD-7 score ≥10) were experienced by 42.8% and 34.0% of participants at baseline, respectively. Multivariable models showed that experiencing both loneliness and social isolation, in comparison to experiencing neither, was significantly associated with an average 7.27 higher depression score (ß = 7.27; 95% confidence interval [CI]: 6.08-8.47) and 5.14 higher anxiety score (ß = 5.14; 95% CI: 4.00-6.28).

CONCLUSION

Aside from showing substantial experience of loneliness and social isolation during the COVID-19 pandemic, our survey showed significant associations with depression and anxiety. Patient supports to address social health have potential implications for also supporting mental health.

Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF

Symptoms of Major Depressive Disorder (MDD) are commonly assessed using self-rating instruments like the Patient Health Questionnaire 9 (PHQ9, for current symptoms), and the Composite International Diagnostic Interview Short-Form (CIDI-SF, for lifetime worst-episode symptoms). Using data from the UKBiobank, we show that corresponding symptoms endorsed through PHQ9 and CIDI-SF have low to moderate genetic correlations (rG=0.43-0.87), and this cannot be fully attributed to different severity thresholds or the use of a skip-structure in CIDI-SF. Through a combination of Mendelian Randomization (MR) and polygenic prediction analyses, we find that PHQ9 symptoms are more associated with traits which reflect general dysphoria, while the skip-structure in CIDI-SF allows for the identification of heterogeneity among likely MDD cases. This has important implications on factor analyses performed on their respective genetic covariance matrices for the purpose of identification of genetic factors behind MDD symptom dimensions and heterogeneity.

The development and initial validation of self-report measures of ICD-11 depressive episode and generalized anxiety disorder: The International Depression Questionnaire (IDQ) and the International Anxiety Questionnaire (IAQ)

BACKGROUND

The new International Classification of Diseases came into effect in 2022 (ICD-11; World Health Organization, 2022) and included updated descriptions and diagnostic rules for "Depressive Episode" and "Generalized Anxiety Disorder." No self-report measures align with these disorders so this study reports the development and initial validation of the "International Depression Questionnaire" (IDQ) and "International Anxiety Questionnaire" (IAQ).

METHODS

Items were developed that aligned to the ICD-11 descriptions and their performance was assessed using data from a community sample (N = 2058) that was representative of the United Kingdom adult population.

RESULTS

Item response theory models indicated that the two scales were unidimensional, and the items performed well in terms of difficulty and discrimination. Estimates of internal reliability were high. Based on ICD-11 derived diagnostic algorithms, 7.4% met requirements for ICD-11 Depressive Episode and 7.1% for Generalized Anxiety Disorder.

CONCLUSIONS

The IDQ and the IAQ are short, easy to use, self-report measures aligned to the new and updated ICD-11 diagnostic descriptions. This study provides initial evidence that the scales produce scores that are reliable and valid.

Prevalence estimates of major depressive disorder in 27 European countries from the European Health Interview Survey: accounting for imperfect diagnostic accuracy of the PHQ-8

BACKGROUND

Cut-offs on self-report depression screening tools are designed to identify many more people than those who meet criteria for major depressive disorder. In a recent analysis of the European Health Interview Survey (EHIS), the percentage of participants with Patient Health Questionnaire-8 (PHQ-8) scores ≥10 was reported as major depression prevalence.

OBJECTIVE

We used a Bayesian framework to re-analyse EHIS PHQ-8 data, accounting for the imperfect diagnostic accuracy of the PHQ-8.

METHODS

The EHIS is a cross-sectional, population-based survey in 27 countries across Europe with 258 888 participants from the general population. We incorporated evidence from a comprehensive individual participant data meta-analysis on the accuracy of the PHQ-8 cut-off of ≥10. We evaluated the joint posterior distribution to estimate the major depression prevalence, prevalence differences between countries and compared with previous EHIS results.

FINDINGS

Overall, major depression prevalence was 2.1% (95% credible interval (CrI) 1.0% to 3.8%). Mean posterior prevalence estimates ranged from 0.6% (0.0% to 1.9%) in the Czech Republic to 4.2% (0.2% to 11.3%) in Iceland. Accounting for the imperfect diagnostic accuracy resulted in insufficient power to establish prevalence differences. 76.4% (38.0% to 96.0%) of observed positive tests were estimated to be false positives. Prevalence was lower than the 6.4% (95% CI 6.2% to 6.5%) estimated previously.

CONCLUSIONS

Prevalence estimation needs to account for imperfect diagnostic accuracy.

CLINICAL IMPLICATIONS

Major depression prevalence in European countries is likely lower than previously reported on the basis of the EHIS survey.

Validation of the Kriol and Belizean English Adaptation of the Revised Children's Anxiety and Depression Scale for Use With Adolescents in Belize

PURPOSE

To validate a culturally-adapted Kriol and Belizean English version of the Revised Children's Anxiety and Depression Scale (RCADS) through comparison with clinical diagnoses made using the Kiddie Schedule of Affective Disorders and Schizophrenia.

METHODS

Participants comprised of 256 adolescents aged 10-14 years and 15-19 years, who completed the adapted RCADS (10 depression items, 12 anxiety items) in one-on-one interviews, followed by a diagnostic assessment using Kiddie Schedule of Affective Disorders and Schizophrenia administered by trained clinicians. Sensitivity, specificity, positive predictive value, negative predictive value, diagnostic odds ratios, area under the curve (AUC), and Youden's Index were calculated for RCADS cutoffs and scores on the total scale and anxiety and depression subscales.

RESULTS

For adolescents aged 10-14 years (n = 161), the AUC was 0.72 for the full scale, 0.67 for anxiety subscale, and 0.76 for depression subscale. For adolescents aged 15-19 years (n = 95), the AUCs were 0.82, 0.77, and 0.83. Most depression items performed well in discriminating those with and without diagnoses. Separation anxiety items performed poorly. "Thoughts of death" were common even among adolescents not meeting diagnostic criteria. The RCADS depression subscale presented the strongest psychometric properties with adolescents aged 15-19 years (at cutoff of 13, sensitivity = 0.83, specificity = 0.77, positive predictive value = 0.47, negative predictive value = 0.95, odds ratio = 15.96).

CONCLUSION

The adapted RCADS-22 had acceptable categorization for adolescents aged 10-14 years and excellent categorization for adolescents aged 15-19 years; therefore, the tool is recommended for use among the latter age group. Based on sensitivity and specificity values at different cutoffs, guidance is provided to select different thresholds to suit clinical, public health, or other uses to detect and quantify adolescent depression and anxiety in Belize.

Prevalence of post-traumatic stress disorder and common mental disorders in health-care workers in England during the COVID-19 pandemic: a two-phase cross-sectional study

BACKGROUND

Previous studies on the impact of the COVID-19 pandemic on the mental health of health-care workers have relied on self-reported screening measures to estimate the point prevalence of common mental disorders. Screening measures, which are designed to be sensitive, have low positive predictive value and often overestimate prevalence. We aimed to estimate prevalence of common mental disorders and post-traumatic stress disorder (PTSD) among health-care workers in England using diagnostic interviews.

METHODS

We did a two-phase, cross-sectional study comprising diagnostic interviews within a larger multisite longitudinal cohort of health-care workers (National Health Service [NHS] CHECK; n=23 462) during the COVID-19 pandemic. In the first phase, health-care workers across 18 NHS England Trusts were recruited. Baseline assessments were done using online surveys between April 24, 2020, and Jan 15, 2021. In the second phase, we selected a proportion of participants who had responded to the surveys and conducted diagnostic interviews to establish the prevalence of mental disorders. The recruitment period for the diagnostic interviews was between March 1, 2021 and Aug 27, 2021. Participants were screened with the 12-item General Health Questionnaire (GHQ-12) and assessed with the Clinical Interview Schedule-Revised (CIS-R) for common mental disorders or were screened with the 6-item Post-Traumatic Stress Disorder Checklist (PCL-6) and assessed with the Clinician Administered PTSD Scale for DSM-5 (CAPS-5) for PTSD.

FINDINGS

The screening sample contained 23 462 participants: 2079 participants were excluded due to missing values on the GHQ-12 and 11 147 participants due to missing values on the PCL-6. 243 individuals participated in diagnostic interviews for common mental disorders (CIS-R; mean age 42 years [range 21-70]; 185 [76%] women and 58 [24%] men) and 94 individuals participated in diagnostic interviews for PTSD (CAPS-5; mean age 44 years [23-62]; 79 [84%] women and 15 [16%] men). 202 (83%) of 243 individuals in the common mental disorders sample and 83 (88%) of 94 individuals in the PTSD sample were White. GHQ-12 screening caseness for common mental disorders was 52·8% (95% CI 51·7-53·8). Using CIS-R diagnostic interviews, the estimated population prevalence of generalised anxiety disorder was 14·3% (10·4-19·2), population prevalence of depression was 13·7% (10·1-18·3), and combined population prevalence of generalised anxiety disorder and depression was 21·5% (16·9-26·8). PCL-6 screening caseness for PTSD was 25·4% (24·3-26·5). Using CAPS-5 diagnostic interviews, the estimated population prevalence of PTSD was 7·9% (4·0-15·1).

INTERPRETATION

The prevalence estimates of common mental disorders and PTSD in health-care workers were considerably lower when assessed using diagnostic interviews compared with screening tools. 21·5% of health-care workers met the threshold for diagnosable mental disorders, and thus might benefit from clinical intervention.

FUNDING

UK Medical Research Council; UCL/Wellcome; Rosetrees Trust; NHS England and Improvement; Economic and Social Research Council; National Institute for Health and Care Research (NIHR) Biomedical Research Centre at the Maudsley and King's College London (KCL); NIHR Protection Research Unit in Emergency Preparedness and Response at KCL.

Mental health services use and depressive symptom scores among gay and bisexual men in Canada

PURPOSE

To evaluate the association between mental health services (MHS) use and depressive symptom scores among gay and bisexual men (GBM) and compare with heterosexual men in Canada.

METHODS

We used data from the 2015-2016 cycles of the Canadian Community Health Survey. Depressive symptoms were assessed using the PHQ-9 questionnaire (prior two weeks). MHS consultations with any licensed mental health professional (prior year) were categorized as 0, 1, 2-11, ≥ 12. We fit linear regression models to quantify the associations between MHS use and PHQ-9 scores, with an interaction term for sexual identity (GBM and heterosexual men). Models were adjusted for socioeconomic and health-related indicators.

RESULTS

Among 21,383 men, 97.3% self-identified as heterosexual and 2.7% as GBM. Compared to heterosexual men, GBM used any MHS (21% vs. 10%, p < 0.05) and consulted ≥ 2 health professionals for their mental health (6% vs. 2%, p < 0.05) in the preceding year more frequently. Overall, mean PHQ-9 scores were higher among GBM compared to heterosexual men (3.9 vs. 2.3, p < 0.05). Relative to no consultations, higher MHS use (2-11, ≥ 12 consultations) was associated with higher PHQ-9 scores (1.4-4.9 points higher). Associations between MHS use and PHQ-9 scores did not differ statistically between GBM and heterosexual men.

CONCLUSION

Our findings were inconclusive in demonstrating a difference between heterosexual men and GBM for the association between MHS use and PHQ-9 scores. However, GBM consistently had higher average PHQ-9 scores for every category of consultations. Considering the higher use of MHS and higher burden of depressive symptoms among GBM, more research is needed.

Screening Utility of the PHQ-2 and PHQ-9 for Depression in College Students: Relationships with Substantive Scales of the MMPI-3

We investigated the validity and screening effectiveness of the PHQ-2 and PHQ-9 scores in 229 college students in a cross-sectional design. PHQ associations with Minnesota Multiphasic Personality Inventory-3 internalizing scales suggest PHQ scores are effective screening tools for college students and may aid in effective triage and service needs.

Sleep Quality and Mental Health Consequences of COVID-19 Pandemic in the Aviation Community in Greece

OBJECTIVE

The aim of this study was to assess the mental health and sleep quality of aviation workers in Greece during the pandemic.

METHODS

A cross-sectional study of aviation workers in Greece was conducted.

RESULTS

Sleep disturbances were observed in 25.4% of our 548 participants, whereas 8.2% and 5.8% reported at least mild depressive and anxiety symptoms, respectively. The impact of the pandemic on their mental health was their primary concern, which increased for many active pilots according to their workload. Those infected mainly faced daily tiredness and fatigue. Smoking habits and high body mass index were a predisposition for more physical symptoms. Cabin crew and women generally yielded worse scores than the other groups.

CONCLUSION

Fear of infection could explain mental health issues, whereas physical symptoms of those infected could be attributed to long-COVID (coronavirus disease) syndrome. Flight attendants' lower ratings may be due to more occupational exposure.

Longitudinal survey of depressive symptoms among university students during the COVID-19 pandemic in Japan

While changes in response to the different stages of the pandemic remain unknown, this study investigated the longitudinal impact of the COVID-19 pandemic on depressive symptoms in Japanese university students and identified factors associated with new onset of depression and suicidal ideation. Two surveys were conducted at one university in Akita, Japan, during the first COVID-19 outbreak period (T1: May–June 2020) and 1 year later (T2: March–May 2021). Moderate depressive symptoms were defined as a Patient Health Questionnaire-9 score ≥ 10 and suicide-related ideation score ≥ 1 on question 9 of the questionnaire. Among 985 students who completed surveys in T1 and T2, participants with moderate depressive symptoms and suicide-related ideation increased from 11 to 17% and from 5.8 to 11.8%, respectively. Among 872 students at risk after excluding those with moderate depressive symptoms at T1, 103 students (11.8%) developed moderate depressive symptoms at T2. Among the 928 students at risk, after excluding those who had suicidal ideation at T1, 79 (8.5%) developed suicidal ideation. Multivariate logistic modeling revealed financial insecurity and academic performance as risk factors (ps < 0.01), while having someone to consult about worries was a coping factor for depressive symptoms and suicidal ideation (ps < 0.001). Our findings demonstrated that socioenvironmental factors may determine depressive symptoms of university students.

Using the Patient Health Questionnaire to estimate prevalence and gender differences of somatic symptoms and psychological co-morbidity in a secondary inpatient population with abdominal pain

BACKGROUND

Somatic disorders and somatic symptoms are common in primary care populations; however, little is known about the prevalence in surgical populations. Identification of inpatients with high somatic symptom burden and psychological co-morbidity could improve access to effective psychological therapies.

METHODS

Cross-sectional analysis (n = 465) from a prospective longitudinal cohort study of consecutive adult admissions with non-traumatic abdominal pain, at a tertiary hospital in New South Wales, Australia. We estimated somatic symptom prevalence with the Patient Health Questionnaire-15 at three cut-points: moderate (⩾10), severe (⩾15) and 'bothered a lot' on ⩾3 symptoms; and psychological co-morbidity with the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 at standard (⩾10) cut-points. We also examined gender differences for somatic symptoms and psychological co-morbidity.

RESULTS

Prevalence was moderate (52%), female predominance (odds ratio = 1.71; 95% confidence interval = [1.18, 2.48]), severe (20%), no gender difference (1.32; [0.83, 2.10]) and 'bothered a lot' on ⩾3 symptoms (53%), female predominance (2.07; [1.42, 3.03]). Co-morbidity of depressive, anxiety and somatic symptoms ranged from 8.2% to 15.9% with no gender differences.

CONCLUSION

Somatic symptoms were common and psychological triple co-morbidity occurred in one-sixth of a clinical population admitted for abdominal pain. Co-ordinated surgical and psychological clinical intervention and changes in clinical service organisation may be warranted to provide optimal care.

Using the Biopsychosocial Approach to Identify Factors Associated with Major Depressive Disorder for Individuals with Hypothyroidism

Previous research has found that major depressive disorder (MDD) commonly occurs in hypothyroid populations. The purpose of this study was to use the biopsychosocial model to investigate factors associated with MDD and hypothyroidism by comparing hypothyroid patients with MDD and without MDD. A sample of 386 participants with hypothyroidism completed both cognitive and psychosocial self-reported assessments along with a questionnaire rating the severity of common hypothyroid symptoms. Participants were divided into two groups (MDD and no MDD) using the diagnostic criteria of the Patient Health Questionnaire. Univariate comparisons were used to assess differences in the severity of physical, psychological, and social correlates in participants with and without MDD. Participants with MDD reported significantly worse symptom severity, increased stress, and disruptions of cognitive functioning. Compared to individuals without MDD, they also indicated poorer quality of life, doctor-patient relationships, and treatment adherence. Individuals with comorbid depression and hypothyroidism reported worse outcomes across physical symptoms, social factors, and psychological and cognitive states than individuals without MDD. Integrating depression screeners and independent treatment for MDD, in addition to the patient's hypothyroid treatment plan, may result in hypothyroid symptom relief and greater quality of life.

Clinically assessed and perceived unmet mental health needs, health care use and barriers to care for mental health problems in a Belgian general population sample

BACKGROUND

Mental health problems often remain undetected and untreated. Prior research suggests that this is mainly due to a lack of need-perception and attitudinal barriers. The aim of this study is to examine unmet mental health needs using both a clinically assessed and a self-perceived approach in a Belgian province.

METHODS

A cross-sectional survey study with a weighted representative sample of 1208 individuals aged 15 - 80 years old was carried out in 2021 in the province of Antwerp (Belgium). Mental health needs were defined as a positive symptom screening for depression (PHQ-9), anxiety (GAD-7) or alcohol abuse (AUDIT-C and CAGE), combined with experiencing significant dysfunction in daily life. Also 12-month health care use for mental health problems, self-perceived unmet mental health needs and reasons for not seeking (extra) help were assessed. Logistic regression analyses were used to explore the predictors of mental health problems, health care use, and objective and subjective unmet mental health needs.

RESULTS

One in five participants had a positive screening on one of the scales, of whom half experienced dysfunction, leading to a prevalence of 10.4% mental health needs. Among those, only half used health care for their mental health, resulting in a population prevalence of 5.5% clinically assessed unmet mental health needs. Fourteen percent of the total sample perceived an unmet mental health need. However, more women and younger people perceived unmet needs, while clinically assessed unmet needs were higher among men and older people. One in six of the total sample used health care for their mental health, most of whom did not have a clinically assessed mental health need. Motivational reasons were most often endorsed for not seeking any help, while a financial barrier was the most important reason for not seeking extra help.

CONCLUSIONS

The prevalence of unmet mental health needs is high. Assessed and perceived (unmet) mental health needs are both relevant and complementary, but are predicted by different factors. More research is needed on this discrepancy.

Systematic review of mental health symptom changes by sex or gender in early-COVID-19 compared to pre-pandemic

Women and gender-diverse individuals have faced disproportionate socioeconomic burden during COVID-19. There have been reports of greater negative mental health changes compared to men based on cross-sectional research that has not accounted for pre-COVID-19 differences. We compared mental health changes from pre-COVID-19 to during COVID-19 by sex or gender. MEDLINE (Ovid), PsycINFO (Ovid), CINAHL (EBSCO), EMBASE (Ovid), Web of Science Core Collection: Citation Indexes, China National Knowledge Infrastructure, Wanfang, medRxiv (preprints), and Open Science Framework Preprints (preprint server aggregator) were searched to August 30, 2021. Eligible studies included mental health symptom change data by sex or gender. 12 studies (10 unique cohorts) were included, all of which reported dichotomized sex or gender data. 9 cohorts reported results from March to June 2020, and 2 of these also reported on September or November to December 2020. One cohort included data pre-November 2020 data but did not provide dates. Continuous symptom change differences were not statistically significant for depression (standardized mean difference [SMD] = 0.12, 95% CI -0.09–0.33; 4 studies, 4,475 participants; I² = 69.0%) and stress (SMD = − 0.10, 95% CI -0.21–0.01; 4 studies, 1,533 participants; I² = 0.0%), but anxiety (SMD = 0.15, 95% CI 0.07–0.22; 4 studies, 4,344 participants; I² = 3.0%) and general mental health (SMD = 0.15, 95% CI 0.12–0.18; 3 studies, 15,692 participants; I² = 0.0%) worsened more among females/women than males/men. There were no significant differences in changes in proportions above cut-offs: anxiety (difference = − 0.05, 95% CI − 0.20–0.11; 1 study, 217 participants), depression (difference = 0.12, 95% CI -0.03–0.28; 1 study, 217 participants), general mental health (difference = − 0.03, 95% CI − 0.09–0.04; 3 studies, 18,985 participants; I² = 94.0%), stress (difference = 0.04, 95% CI − 0.10–0.17; 1 study, 217 participants). Mental health outcomes did not differ or were worse by small amounts among women than men during early COVID-19.

State of Ireland's mental health: findings from a nationally representative survey

AIMS

Current information about the prevalence of various mental health disorders in the general adult population of the Republic of Ireland is lacking. In this study, we examined the prevalence of 12 common mental disorders, the proportion of adults who screened positive for any disorder, the sociodemographic factors associated with meeting criteria for a disorder and the associations between each disorder and history of attempted suicide.

METHODS

A non-probability nationally representative sample (N = 1110) of adults living in Ireland completed self-report measures of 12 mental health disorders. Effect sizes were calculated using odds ratios from logistic regression models, and population attributable risk fractions (PAFs) were estimated to quantify the associations between each disorder and attempted suicide.

RESULTS

Prevalence rates ranged from 15.0% (insomnia disorder) to 1.7% (histrionic personality disorder). Overall, 42.5% of the sample met criteria for a mental health disorder, and 11.1% had a lifetime history of attempted suicide. Younger age, being a shift worker and trauma exposure were independently associated with a higher likelihood of having a mental health disorder, while being in university was associated with a lower likelihood of having a disorder. ICD-11 complex posttraumatic stress disorder, borderline personality disorder and insomnia disorder had the highest PAFs for attempted suicide.

CONCLUSIONS

Mental health disorder prevalence in Ireland is relatively high compared to international estimates. The findings are discussed in relation to important mental health policy implications.

Depression rates and health-seeking behavior in primary care: Andersen model of health- care utilization

Depression imposes a tremendous burden on the health-care systems. Many patients prefer informal (family & friends) over formal mental health services (MHS) provided by professionals. We aimed to investigate the prevalence of depression among primary care patients and to examine the factors predicting seeking MHS using the Andersen Health Care Utilization Model. We interviewed 300 primary care patients in Jordan. The mean age was 39.85 ± 14.45, and 80% were women. 35.7% had depression, and 28.7% had significant depression impairing daily function. The most commonly reported source of help was family members and less than one-third had the intention to seek formal MHS. The predisposing-factors domain was the only predictive of seeking MHS in depression and suicide, whereas the 'enabling' and 'need' domains were not. Knowledge, stigma and life satisfaction were predictive of seeking formal MHS. Raising awareness and empowering doctors to screen for depression is needed as less than a third would seek formal MHS.

Burden of schizophrenia among Japanese patients: a cross-sectional National Health and Wellness Survey

BACKGROUND

Schizophrenia places a great humanistic and financial burden to patients, families, and societies, and the burden is substantially impacted by comorbid conditions. This study aimed to estimate the lifetime prevalence of schizophrenia and to assess the health-related quality of life (HRQoL), work productivity, and indirect cost among schizophrenia patients with and without comorbidities (depressive symptoms, sleep disturbances, and anxiety problems).

METHODS

This is a secondary analysis of existing data collected in 2019 from the Japan National Health and Wellness Survey. The schizophrenia patients were categorized based on their Patient Health Questionnaire-9 score, self-reported experience of sleep disturbances, and anxiety problems. The lifetime prevalence was estimated using the total number of diagnosed schizophrenia patients as the numerator and the total number of respondents as the denominator. The HRQoL was evaluated through the Short Form 12-Item (version 2) Health Survey and EuroQoL 5-dimensions scale. Work productivity and annual indirect costs were evaluated through the Work Productivity and Activity Impairment instrument and monthly wage rates. Multivariate analyses included the comparison of outcomes using generalized linear models.

RESULTS

The study was conducted with 178 schizophrenia patients with an average age of 42.7 years old and an estimated lifetime prevalence of 0.59% (95% CI: 0.51%, 0.68%). Patients who experienced sleep disturbances, more severe depressive symptoms, and anxiety problems had lower HRQoL, higher levels of absenteeism, presenteeism, total work productivity and activity impairment, and almost twice more indirect costs, compared to those without these conditions.

CONCLUSION

Comorbid conditions among patients with schizophrenia impact significantly on their quality of life, work productivity as well as indirect costs.

Much research, but little learned to date: A scoping review of the methodological quality of research on mental health of healthcare professionals in low- and lower-middle income countries

Background: SARS-CoV-2 has resulted in widespread awareness of health workers’ work realities and their mental health impacts, and corresponding unprecedented research effort. Reviews of the quantitative literature on mental health of clinical skilled healthcare personnel in low- and lower-middle income countries (LLMIC), however, point at quality issues in the pre-pandemic literature. We used the evidence generated in the context of one pre-pandemic review to understand methodological strengths and weaknesses in detail, with the aim of distilling recommendations for future research. Methods: Our study used the literature identified in a systematic search up to the end of 2020, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. Following a scoping review approach, we extracted and charted data on key study characteristics as well as on study quality. In regard to the latter, we developed nine quality criteria on the basis of existing quality checklists, but expanding on issues of particular relevance to the measurement and interpretation of levels of mental health or illness. We collated the charted data in descriptive fashion. Results: We included data from 152 studies, assessing a range of mental health outcomes, with a focus on burnout. Most studies were conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. We judged only 20% of studies as of high quality due to shortcomings particularly regarding sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. Conclusion: We conclude that despite its impressive size, we can learn comparatively little from the body of literature up to the end of 2020 due to limitations in quality. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research. PROSPERO Registration: CRD42019140036.

A Changing Home: A Cross-Sectional Study on Environmental Degradation, Resettlement and Psychological Distress in a Western German Coal-Mining Region

Unwelcome environmental changes can lead to psychological distress, known as “solastalgia”. In Germany, the open-pit mining of brown coal results in environmental changes as well as in the resettlement of adjacent villages. In this study, we investigated the risk of open-pit mining for solastalgia and psychological disorders (e.g., depression, generalized anxiety and somatization) in local communities. The current residents and resettlers from two German open-pit mines were surveyed concerning environmental stressors, place attachment, impacts and mental health status. In total, 620 people responded, including 181 resettlers, 114 people from villages threatened by resettlement and 325 people from non-threatened villages near an open-pit mine. All groups self-reported high levels of psychological distress, approximately ranging between 2−7.5 times above the population average. Respondents from resettlement-threatened villages showed the worst mental health status, with 52.7% indicating at least moderate somatization levels (score sum > 9), compared to 28% among resettlers. We observed a mean PHQ depression score of 7.9 (SD 5.9) for people from resettlement-threatened villages, 7.4 (SD 6.0) for people from not-threatened villages, compared to 5.0 (SD 6.5) for already resettled people (p < 0.001). In conclusion, the degradation and loss of the home environment caused by open-pit mining was associated with an increased prevalence of depressive, anxious and somatoform symptoms in local communities. This reveals a need for further in-depth research, targeted psychosocial support and improved policy frameworks, in favor of residents’ and resettlers’ mental health.

The effect of exercise and affect regulation skills on mental health during the COVID-19 pandemic: A cross-sectional survey

BACKGROUND

COVID-19-related confinements pose a threat to mental health. We investigated prevalence rates of symptoms of depression, generalized anxiety and insomnia in German adults. Furthermore, we explored associations of exercise behavior with disorder-specific symptoms and assessed whether specific affect regulation skills enhance the effect of exercise on symptom alleviation.

METHODS

Cross-sectional survey-based data collected during the first lockdown is presented: 4268 adults completed questionnaires on mental health, exercise behavior and Covid-related lifestyle factors. Primary outcome was depression (PHQ-9), secondary outcomes generalized anxiety (PHQ-D) and sleep quality (PSQI). Multiple linear regression analyses were performed to examine the association of exercise behavior with the outcomes.

RESULTS

Analyses resulted in elevated symptoms of psychological distress (probable cases of depressive disorder: 31.2%, anxiety disorder: 7.5%, sleeping disorder: 43.0%). A change towards less exercise during the lockdown was significantly associated with higher levels of depression (t=5.269; β=0.077, p<.001), anxiety (t=3.397; β=0.055, p<.001) and insomnia (t=3.466; β=0.058; p<.001). Physical activity (PA)-related affect regulation enhanced the effect of exercise on mental health.

CONCLUSION

Results suggest a demand for measures which promote the maintenance of exercise during a pandemic and improve PA-related affect regulation to optimize effects of exercise on mental health.

Revisiting the theoretical and methodological foundations of depression measurement

Depressive disorders are among the leading causes of global disease burden, but there has been limited progress in understanding the causes and treatments for these disorders. In this Perspective, we suggest that such progress crucially depends on our ability to measure depression. We review the many problems with depression measurement, including limited evidence of validity and reliability. These issues raise grave concerns about common uses of depression measures, such as diagnosis or tracking treatment progress. We argue that shortcomings arise because depression measurement rests on shaky methodological and theoretical foundations. Moving forward, we need to break with the field's tradition that has, for decades, divorced theories about depression from how we measure it. Instead, we suggest that epistemic iteration, an iterative exchange between theory and measurement, provides a crucial avenue for depression measurement to progress.

Mental impact of Covid-19 among Spanish healthcare workers. A large longitudinal survey

AIMS

Longitudinal data on the mental health impact of the coronavirus disease 2019 (Covid-19) pandemic in healthcare workers is limited. We estimated prevalence, incidence and persistence of probable mental disorders in a cohort of Spanish healthcare workers (Covid-19 waves 1 and 2) -and identified associated risk factors.

METHODS

8996 healthcare workers evaluated on 5 May-7 September 2020 (baseline) were invited to a second web-based survey (October-December 2020). Major depressive disorder (PHQ-8 ≥ 10), generalised anxiety disorder (GAD-7 ≥ 10), panic attacks, post-traumatic stress disorder (PCL-5 ≥ 7), and alcohol use disorder (CAGE-AID ≥ 2) were assessed. Distal (pre-pandemic) and proximal (pandemic) risk factors were included. We estimated the incidence of probable mental disorders (among those without disorders at baseline) and persistence (among those with disorders at baseline). Logistic regression of individual-level [odds ratios (OR)] and population-level (population attributable risk proportions) associations were estimated, adjusting by all distal risk factors, health care centre and time of baseline interview.

RESULTS

4809 healthcare workers participated at four months follow-up (cooperation rate = 65.7%; mean = 120 days s.d. = 22 days from baseline assessment). Follow-up prevalence of any disorder was 41.5%, (v. 45.4% at baseline, p < 0.001); incidence, 19.7% (s.e. = 1.6) and persistence, 67.7% (s.e. = 2.3). Proximal factors showing significant bivariate-adjusted associations with incidence included: work-related factors [prioritising Covid-19 patients (OR = 1.62)], stress factors [personal health-related stress (OR = 1.61)], interpersonal stress (OR = 1.53) and financial factors [significant income loss (OR = 1.37)]. Risk factors associated with persistence were largely similar.

CONCLUSIONS

Our study indicates that the prevalence of probable mental disorders among Spanish healthcare workers during the second wave of the Covid-19 pandemic was similarly high to that after the first wave. This was in good part due to the persistence of mental disorders detected at the baseline, but with a relevant incidence of about 1 in 5 of HCWs without mental disorders during the first wave of the Covid-19 pandemic. Health-related factors, work-related factors and interpersonal stress are important risks of persistence of mental disorders and of incidence of mental disorders. Adequately addressing these factors might have prevented a considerable amount of mental health impact of the pandemic among this vulnerable population. Addressing health-related stress, work-related factors and interpersonal stress might reduce the prevalence of these disorders substantially. Study registration number: NCT04556565.

Depressive symptoms, but not anxiety, predict subsequent diagnosis of Coronavirus disease 19: a national cohort study

AIMS

Several diseases are linked to increased risk of Coronavirus disease 19 (COVID-19). Our aim was to investigate whether depressive and anxiety symptoms predict subsequent risk of COVID-19, as has been shown for other respiratory infections.

METHODS

We based our analysis on UK Biobank participants providing prospective data to estimate temporal association between depressive and anxiety symptoms and COVID-19. We estimated whether the magnitude of these symptoms predicts subsequent diagnosis of COVID-19 in this sample. Further, we evaluated whether depressive and anxiety symptoms predicted (i) being tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and (ii) COVID-19 in those tested.

RESULTS

Based on data from N = 135 102 participants, depressive symptoms (odds ratio (OR) = 1.052; 95% confidence interval (CI) 1.017-1.086; absolute case risk: (moderately) severe depression: 493 per 100 000 v. minimal depression: 231 per 100 000) but not anxiety (OR = 1.009; 95% CI 0.97-1.047) predicted COVID-19. While depressive symptoms but not anxiety predicted (i) being tested for SARS-CoV-2 (OR = 1.039; 95% CI 1.029-1.05 and OR = 0.99; 95% CI 0.978-1.002), (ii) neither predicted COVID-19 in those tested (OR = 1.015; 95% CI 0.981-1.05 and OR = 1.021; 95% CI 0.981-1.061). Results remained stable after adjusting for sociodemographic characteristics, multimorbidity and behavioural factors.

CONCLUSIONS

Depressive symptoms were associated with a higher risk of COVID-19 diagnosis, irrespective of multimorbidities. Potential underlying mechanisms to be elucidated include risk behaviour, symptom perception, healthcare use, testing likelihood, viral exposure, immune function and disease progress. Our findings highlight the relevance of mental processes in the context of COVID-19.

Exploring American Parents' Lived Experiences During the COVID-19 Pandemic: Ramifications for Well-Being

OBJECTIVE

The objective of this study was to document the direct impact of the COVID-19 pandemic on parents and families in the United States.

METHODS

Parents' experiences during the pandemic were examined using an online survey (N = 564) collected during May and June 2020.

RESULTS

Parents reported experiencing a high frequency of COVID-19-related events (e.g., job loss and health concerns) and impact on their lives. Parents' experiences with COVID-19, as well as self-reported perceived increase in home labor, experiences with assisting children with remote schooling, and work-life conflict were all significantly associated with higher levels of parental role overload. COVID-19-related events and impact, as well as parental role overload, significantly predicted parents' anxiety and depression, even after controlling for demographic factors.

CONCLUSIONS

The findings suggest the importance of providing support for parents and families through direct services and public policy changes.