The economic burden of depression and the cost-effectiveness of treatment

Abnormal circadian rhythm of heart rate variability and their association with symptoms in patients with major depressive disorder

BACKGROUND

Heart rate variability (HRV) is often reduced in patients with major depressive disorder (MDD) and is linked to symptoms. However, prior studies have mainly focused on short-term HRV, with limited exploration of the 24-h HRV circadian rhythm, despite its ability to comprehensively capture overall HRV distribution and dynamic fluctuations. In this study, we investigated the circadian rhythms of 24-h HRV indices in patients with MDD and their associations with symptom severity.

METHODS

We recorded 24-h electrocardiograms in 73 patients with MDD (53 in major depressive episode and 20 in remission period) and 31 healthy controls. An extended cosine model was used to model the circadian rhythm of six HRV indices by five parameters: the mesor, amplitude, duty cycle, curve smoothness, and acrophase. Symptom severity was evaluated using the Hamilton Depression Scale and Hamilton Anxiety Scale.

RESULTS

Compared with the control group, patients with MDD had a significantly smaller SampEn mesor, higher HF duty cycle, and lower heart rate (HR) duty cycle. They also had a significantly higher curve smoothness for HR, RMSSD, and HF. The mesor for SampEn, along with the curve smoothness for HR and ln RMSSD, were associated with certain symptoms in patients with MDD.

LIMITATIONS

The cross-sectional design and psychiatric treatment of most patients with MDD limited our findings.

CONCLUSION

Patients with MDD exhibit abnormal HRV circadian rhythms that are associated with symptoms. Moreover, 24-h ECG monitoring may potentially serve as an adjunct value to objectively evaluate clinical symptoms in these patients.

Psychosocial Clusters and Their Associations with Depression, Anxiety and Stress Among Older Adults in Shanghai Communities: Results from a Longitudinal Study

Purpose

Psychosocial factors have been found to profoundly impact mental health of older adults, but the main focus in the current literature has been on one particular aspect of these factors. This study aimed to identify latent classes of older adults based on four psychosocial factors (loneliness, social isolation, perceived social support, and social capital) and the transition of classes over 6 months. We also sought to assess the predictive role of changes in these classes in relation to depression, anxiety, and stress at 18-month follow-up.

Methods

We analyzed longitudinal data from 581 community-dwelling older adults in Shanghai, China. The data were collected at baseline (T0), 6-month follow-up (T1) and 18-month follow-up (T2) between March 2021 and April 2023. Using latent class analysis, we identified three underlying classes (Social Connectors, Subjective Social Isolates, and Social Isolates) of the sample. We also established five transition categories from T0 to T1 (Social Connectors T0-T1, Subjective Social Isolates T0-T1, Social Isolates T0-T1, Good Transition, and Bad Transition) using latent transition analysis. Logistic regression was employed to examine the temporal relationships between these transition categories and subsequent symptoms of depression, anxiety and stress, adjusting for age, sex, education, marital status, family income level, sleep quality, health status and outcome variables at T0.

Results

Multivariable associations revealed that compared to older adults with persistent good social environment (Social Connectors T0-T1), those with persistent high levels of loneliness and social isolation and low levels of perceived social support and social capital (Social Isolates T0-T1), and those who shifted towards a poorer social environment (Bad Transition) were more likely to experience depression, anxiety and stress at T2. Sustained subjective social isolation (Subjective Social Isolates T0-T1) was associated with more severe depressive symptoms at T2.

Conclusion

Our study indicated that adverse psychosocial environment worsened mental health in older adults. These findings highlight the importance of early identification of older individuals at long-term psychosocial risk and development of tailored interventions to improve their social environment and mental health.

Treatment coverage for depression in the general Spanish population and the impact of the Covid-19 pandemic

Background

Despite the availability of effective antidepressant strategies, numerous people with depressive disorders remain untreated. The Covid-19 pandemic has affected healthcare services, especially the mental health sector. This study aims to explore the coverage of depression treatments in the general Spanish population and the impact of the Covid-19 pandemic.

Methods

We used longitudinal data (2018 and 2022) from the general Spanish population: pre-pandemic n = 1512; mean age = 65.43 years ± 14.90; 56 % females; post-pandemic n = 909; mean age = 68.00 years ± 14.24; 54 % women. The International Classification of Disease 10th edition was used to diagnose lifetime depressive episodes and severity. We explored psychological and pharmacological treatment coverage via multiple logistic regressions adjusted for 4 covariates (sex assigned at birth, education level, age, Covid-19 pandemic) for participants with a diagnosis of depression.

Results

Treatment coverage for depression in the pre-pandemic and post-pandemic samples was, respectively, 53.3 % and 51.9 %. We observed an association between severe depression and treatment coverage (OR = 2.77, 95%CI 1.05 to 7.75). We found no association between the COVID-19 pandemic and treatment coverage.

Conclusions

The pharmacological treatment coverage was associated with severe types of depression. The prevalence rates of treatment coverage were similar in the pre- and post-COVID-19 pandemic attesting to the resilience of the mental health system in Spain.

Lower risk of hospitalisation for depression following hospitalisation for COVID-19 versus for another reason

INTRODUCTION

Although hospitalisation for COVID-19 is associated with a higher post-discharge risk of mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD), this risk has not been compared to that following hospitalisation for a reason other than COVID-19.

METHODS

Using data from France's National Health Data System (SNDS) database, we compared patients hospitalised for mood disorders in the 12 months following COVID-19/another reason hospitalisation.

RESULTS

96,313 adult individuals were hospitalised for COVID-19, and 2,979,775 were hospitalised for another reason. In the 12 months post-discharge, 110,976 (3.83 %) patients were hospitalised for mood disorders. In unadjusted analyses, patients initially hospitalised for COVID-19 (versus another reason) were more likely to be subsequently hospitalised for a mood disorder (4.27 % versus 3.82 % versus, respectively, p < 0.0001). These patients were also more likely to have a history of mood disorders, especially depressive disorders (6.45 % versus 5.77 %, respectively, p < 0.0001). Women, older age, lower social deprivation, a history of mood disorders, longer initial hospitalisation (COVID-19 or other), and a higher level of clinical care during initial hospitalisation were all significantly associated with the risk of subsequent hospitalisation for MDD and BD. In contrast, after adjusting for all these factors, persons initially hospitalised for COVID-19 were less likely to be subsequently hospitalised for MDD (OR = 0.902 [0.870-0.935]; p < 0.0001). No difference between both groups was observed for BD.

LIMITATIONS

Other reasons were not separately studied.

CONCLUSIONS

After adjusting for confounding factors, initial hospitalisation for COVID-19 versus for another reason was associated with a lower risk of hospitalisation for a mood disorder.

Does Empty Nest Elderly Experience More Depressive Symptoms than Non-Empty Nest Elderly? Evidence from Longitudinal Aging Study in India

India experienced a growing burden of elderly population associated with both physical and mental health challenges. Among the mental health problems, dementia, depression, anxiety and sleep disorder are of significant concern. This present study investigates the association between the types of living arrangement and the mental health of elderly in India. Comparison has been done between empty nest and non-empty nest elderlies. Data from first wave of Longitudinal Aging Study in India (2017-18) has been used. It is a nationally representative data which collected data from over 72,000 individuals aged 45 and above and their spouses irrespective of age. We used the Center for Epidemiological Studies Depression Scale (CES-D) to measure depression while living arrangement was self-reported by the respondents. Univariate and multivariate analyses were carried out to find significant association of the outcome and independent variables. Among the total elderlies, 11% were from empty nest single households, 20% were from empty nest couple households and others were from the non-empty households. At national level, 30% elderly suffered from depression. It was more among the elderly of empty nest single households (43%), compared to elderly of empty nest couple households (30%) and non-empty nest households (28%). Gender, socio economic status, self-rated health status, financial stability, place of residence plays a crucial role in the experience of depression among the elderlies. Results portray that household structure, especially living arrangement and familial support in old age can be associated with the overall health and wellbeing, more specifically depressive symptoms among the elderly.

The relationship between working time mismatch and depression according to actual hours worked

OBJECTIVES

The effect of the combination of working hours and working time mismatch on depression is unknown. This study was undertaken to confirm the relationship between working time mismatch and depression with respect to hours worked.

MATERIAL AND METHODS

The data of 45 514 adult workers that participated in the 6th Korean Working Conditions Survey (KWCS-VI 2020) were reviewed. Depression was defined using the World Health Organization 5 Well-Being Index (WHO-5) cut-off score of 50. Working time mismatch was defined as a difference between actual and desired working hours. To identify associations between working hour mismatch and depression according to weekly hours worked, stratification analysis was conducted by dividing the study subjects into 3 groups based on actual hours worked weekly (<40 h, 40-<52 h, or ≥52 h). Multiple logistic regression analysis adjusted for potential confounders was performed to calculate odds ratios of depression.

RESULTS

In the <40 h, 40-<52 h, and ≥52 h groups, the odds ratios (OR) of working more hours than desired were 1.51, 95% CI: 1.20-1.92 (<40 h), 1.70, 95% CI: 1.58-1.84 (40-<52 h), and 1.55, 95% CI: 1.41-1.69 (≥52 h), respectively, compared to a matched actual versus desired working hours group (the matched group). On the other hand, the odds ratios of working fewer hours than desired were 1.17, 95% CI: 1.07-1.27 (<40 h), 1.38, 95% CI: 1.20-1.60 (40-<52 h), and 1.98, 95% CI: 1.24-3.17 (≥52 h), respectively. The risk of depression was found to increase significantly with working time mismatch within all 3 working hour groups.

CONCLUSIONS

Working time mismatch increases the risk of worker depression regardless of hours worked. Int J Occup Med Environ Health. 2023;36(6):788-97.

Neurofeedback and Affect Regulation Circuitry in Depressed and Healthy Adolescents

Neurodevelopmental psychopathology seeks to understand higher-order emotion regulation circuitry to develop new therapies for adolescents with depression. Depressed (N = 34) and healthy youth (N = 19) completed neurofeedback (NF) training and exhibited increased bilateral amygdala and hippocampus activity in the region of interest (ROI) analyses by recalling positive autobiographical memories. We tested factors supportive of the engagement of emotion regulation's neural areas during NF (i.e., parental support, medication, and gender effects upon anterior cingulate cortex (ACC) engagement). Whole-brain analyses yielded effects of NF vs. control condition and effects of diagnosis. Youth showed higher amygdala and hippocampus (AMYHIPPO) activity during the NF vs. control condition, particularly in the left hippocampus. ACC's activity was also higher during NF vs. control. Higher average ACC activity was linked to better parental support, absent depression, female gender, and absent medication. Control youth showed higher average AMYHIPPO and ACC activity throughout the task and a faster decline in activity vs. depressed youths. Whole-brain level analyses showed higher activity in the frontotemporal network during the NF vs. control conditions, suggesting targeting their connectivity in future neurofeedback trials.

The Efficacy and Tolerability of Continuation and Maintenance Electroconvulsive Therapy for Depression: A Systematic Review of Randomized and Observational Studies

ABSTRACT

Electroconvulsive therapy (ECT) is a highly effective treatment for severe and treatment-resistant depression, but relapse rates remain high despite maintenance pharmacotherapy. Continuation or maintenance ECT (C/M-ECT) offers the potential to prevent relapses in the most unwell patients, but there remains disagreement among guidelines regarding its efficacy and tolerability. This review aims to summarize and assess the current evidence for the efficacy and tolerability of continuation and maintenance ECT for depression, including data from randomized and observational studies, which included an appropriate control group. Twenty studies were found meeting inclusion criteria. There was evidence from 14 studies suggesting that relapse rates are reduced in those receiving C/M-ECT. There was evidence from 6 studies suggesting that C/M-ECT had no effect on global cognitive function. Detailed neuropsychological testing was limited, but within studies that assessed specific cognitive domains, there was not consistent evidence for deficits in C/M-ECT compared with the control group. The certainty of evidence across outcomes was low or very low because of inclusion of observational studies, heterogeneity of study design, and patient populations. The findings add further weight to evidence suggesting that C/M-ECT is a viable treatment option to prevent relapse in severe depression and provides clinicians with further evidence for the benefits and risks of C/M-ECT when discussing treatment options with patients. Future research should focus on randomized or well-designed prospective studies with sufficient follow-up to determine longer-term outcomes, while including a standardized, detailed neurocognitive battery to assess potential adverse effects.

The effect of internet-delivered cognitive behavioral therapy for depression and anxiety on quality of life: A meta-analysis of randomized controlled trials

Although numerous studies have examined the effects of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety on quality of life, no meta-analysis has yet been conducted to integrate the results of these studies. We conducted systematic searches in PubMed, Cochrane, and PsycInfo, which included terms for treatment type, modality of delivery, condition, and main outcome. We included studies that met the following inclusion criteria: (a) randomized controlled trials, (b) patients allocated to some form of the control condition, (c) patients receiving some type of treatment of anxiety and/or depression involving Internet-delivered Cognitive Behavioral Therapy, (d) use of a validated outcome measure assessing the level of quality of life, (e) conducted with adult participants diagnosed with anxiety disorder and/or unipolar depression, (f) papers written in English. We analyzed 40 randomized controlled trials with a total of 4289 participants that met inclusion criteria. The pooled between-group effect size for the quality of life overall score was small (g = 0.35, 95 % CI: 0.26-0.44, p = .0001), favoring iCBT over the control conditions. Regarding the distinct quality of life domains measured by the World Health Organization Quality of Life Assessment, a statistically significant difference between iCBT and control conditions was found only for the physical health domain (g = 0.56, 95 % CI: 0.06-1.07, p = .029), in favor of iCBT. In both cases, heterogeneity was moderate. While the effect on the quality of life is small (the overall quality of life score) to moderate (the physical health domain score), we conclude that iCBT for depression and anxiety may be a promising approach for improving the quality of life of patients.

Occupational stress changes and new-onset depression among male Korean manufacturing workers

Background

Studies on the association between occupational stress and depression have been frequently reported. However, the cross-sectional designs of studies limited insight into causal associations. In this study, we investigated the longitudinal association between occupational stress and new-onset depression among employees in a single manufacturing plant.

Methods

The annual health checkup data of employees at a manufacturing plant in Korea were collected. A total of 1,837 male employees without depression who completed a health checkup during two consecutive years were included. Occupational stress was measured using a short form of the Korea Occupational Stress Scale (KOSS-SF), and depression was assessed using a Patient Health Questionnaire-2. The association between occupational stress change over the two years and newly developed depression was investigated using two logistic regression models.

Results

Across all sub-factors of KOSS-SF, employees who reported increased occupational stress had a higher risk of new-onset depression. Newly developed depression was significantly associated with job demand (odds ratio [OR]: 4.34; 95% confidence interval [CI]: 2.37-7.96), job insecurity (OR: 3.21; 95% CI: 1.89-5.48), occupational climate (OR: 3.18; 95% CI: 1.91-5.31), lack of reward (OR: 2.28; 95% CI: 1.26-4.12), interpersonal conflict (OR: 2.14; 95% CI: 1.18-3.86), insufficient job control (OR: 1.93; 95% CI: 1.05-3.56), and the organizational system (OR: 1.84; 95% CI: 1.01-3.36).

Conclusions

For every sub-factor of the KOSS-SF, occupational stress increase and persistent high stress were associated with the risk of developing new-onset depression. Among the seven sub-factors, job demand had the most significant effect. Our results show that occupational stress should be managed to promote employee mental healthcare.

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

BACKGROUND

Major depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatment selection. Attempts have been made, with varying degrees of success, to explore the relationship between the measures of depression and passive digital phenotypes (features) extracted from smartphones and wearables devices to remotely and continuously monitor changes in symptomatology. However, a number of challenges exist for the analysis of these data. These include maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the cross-sectional and longitudinal relationships for different features to determine their utility in tracking within-individual longitudinal variation or screening individuals at high risk; and understanding the heterogeneity with which depression manifests itself in behavioral patterns quantified by the passive features.

OBJECTIVE

We aimed to address these 3 challenges to inform future work in stratified analyses.

METHODS

Using smartphone and wearable data collected from 479 participants with MDD, we extracted 21 features capturing mobility, sleep, and smartphone use. We investigated the impact of the number of days of available data on feature quality using the intraclass correlation coefficient and Bland-Altman analysis. We then examined the nature of the correlation between the 8-item Patient Health Questionnaire (PHQ-8) depression scale (measured every 14 days) and the features using the individual-mean correlation, repeated measures correlation, and linear mixed effects model. Furthermore, we stratified the participants based on their behavioral difference, quantified by the features, between periods of high (depression) and low (no depression) PHQ-8 scores using the Gaussian mixture model.

RESULTS

We demonstrated that at least 8 (range 2-12) days were needed for reliable calculation of most of the features in the 14-day time window. We observed that features such as sleep onset time correlated better with PHQ-8 scores cross-sectionally than longitudinally, whereas features such as wakefulness after sleep onset correlated well with PHQ-8 longitudinally but worse cross-sectionally. Finally, we found that participants could be separated into 3 distinct clusters according to their behavioral difference between periods of depression and periods of no depression.

CONCLUSIONS

This work contributes to our understanding of how these mobile health-derived features are associated with depression symptom severity to inform future work in stratified analyses.

Study protocol for type II hybrid implementation-effectiveness trial of strategies for depression care task-sharing in community health stations in Vietnam: DEP Project

BACKGROUND

It is not clear what the most effective implementation strategies are for supporting the enactment and sustainment of depression care services in primary care settings. This type-II Hybrid Implementation-Effectiveness study will compare the effectiveness of three system-level strategies for implementing depression care programs at 36 community health stations (CHSs) across 2 provinces in Vietnam.

METHODS

In this cluster-randomized controlled trial, CHSs will be randomly assigned to one of three implementation conditions: (1) Usual Implementation (UI), which consists of training workshops and toolkits; (2) Enhanced Supervision (ES), which includes UI combined with bi-weekly/monthly supervision; and (3) Community-Engaged Learning Collaborative (CELC), which includes all components of ES, combined with bi-monthly province-wide learning collaborative meetings, during which cross-site learning and continuous quality improvement (QI) strategies are implemented to achieve better implementation outcomes. The primary outcome will be measured based on the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation quality, and Maintenance) using indicators on implementation, provider, and client factors. The secondary outcome examines factors associated with barriers and facilitators of quality implementation, while the tertiary outcome evaluates the incremental cost-effectiveness ratio of services provided in the ES and CELC conditions, relative to UI condition for depression care. A total of 1,296 clients receiving depression care at CHSs will be surveyed at baseline and 6-month follow-up to assess mental health and psychosocial outcomes (e.g., depression and anxiety severity, health function, quality of life). Additionally, 180 CHS staff and 180 non-CHS staff will complete pre- and post-training evaluation and surveys at baseline, 6, 12, and 24 months.

DISCUSSION

We hypothesize that the additional implementation supports will make mental health service implementation superior in the ES and CELC arms compared to the UI arm. The findings of this project could identify effective implementation models and assess the added value of specific QI strategies for implementing depression care in primary care settings in Vietnam, with implications and recommendations for other low- and middle-income settings. More importantly, this study will provide evidence for key stakeholders and policymakers to consider policies that disseminate, scale up, and advance quality mental health care in Vietnam.

TRIAL REGISTRATION

NCT04491045 on Clinicaltrials.gov. Registered July 29, 2020.

Validation of a data collection set for the psychiatric, addiction, sleep and chronobiological assessments of patients with depression: A Delphi study for the SoPsy-depression French national cohort

OBJECTIVES

Despite international efforts to identify biomarkers of depression, none has been transferred to clinical practice, neither for diagnosis, evolution, nor therapeutic response. This led us to build a French national cohort (through the clinical and research network named SoPsy within the French biological psychiatry society (AFPBN) and sleep society (SFRMS)), to better identify markers of sleep and biological rhythms and validate more homogeneous subgroups of patients, but also to specify the manifestations and pathogeneses of depressive disorders. Before inclusions, we sought to provide a predefined, standardized, and robust set of data to be collected in all centers.

METHODS

A Delphi process was performed to achieve consensus through the independent rating of invited experts, the SoPsy-depression co-investigators (n=34). The initial set open for vote included 94 questionnaires targeting adult and child psychiatry, sleep and addiction.

RESULTS

Two questionnaire rounds were completed with 94% participation in the first round and 100% participation in the second round. The results of the Delphi survey incorporated the consensus opinion of the 32 members who completed both rounds. Nineteen of the 94 questionnaires achieved consensus at the first round and seventy of 75 at the second round. The five remaining questionnaires were submitted to three experts involved in the steering committee during a dedicated meeting. At the end, 24 questionnaires were retained in the mandatory and 26 in the optional questionnaire set.

CONCLUSIONS

A validated data collection set of questionnaires is now available to assess psychiatry, addiction, sleep and chronobiology dimensions of depressive disorders.

Efficacy of short-term psychodynamic psychotherapy (STPP) in depressive disorders: A systematic review and meta-analysis

INTRODUCTION

Depression is one of the leading diseases globally. It can severely interfere with daily and occupational functioning of people affected. Both pharmacological interventions and psychotherapy are used for adult depression. The aim of the review is to evaluate the efficacy of short-term psychodynamic psychotherapy (STPP) by comparing STPP with different types of interventions.

MATERIALS AND METHODS

A systematic review with meta-analysis on the efficacy of STPP in depressive disorders was performed.

RESULTS

Meta-analysis findings confirm the superiority of STPP versus no interventions. The average effect size of depressive symptoms severity at the end of the treatment is -0.91 (95% CI: -1.49 - -0.33) in favor of STPP, while for clinical improvement of depressive symptoms is -0.78 (95% CI: -1.56 - 0.01). Results confirm a clear superiority of STPP to usual treatments unstructured. A mild superiority of efficacy of STPP on support psychotherapy emerged. Comparison of the efficacy of STPP vs cognitive-behavioral psychotherapy (CBT) shows little superior in case of STPP. No substantial differences in efficacy in case of STPP than control interventions emerged. Antidepressant therapy is resulted to be slightly more effective to STPP.

DISCUSSION

While all the other results confirm current literature, this review shows no superiority of combined treatment than STPP only.

LIMITATIONS

The review has some limitations such as the lack of moderation analysis and the high heterogenicity of the type of the studies.

CONCLUSIONS

The results confirm the efficacy of STPP in depressive disorders and endorse the guidelines of National Institute for Health and Clinical Excellence (NICE).

Comparing the efficacy of mindfulness-based therapy and cognitive-behavioral therapy for depression in head-to-head randomized controlled trials: A systematic review and meta-analysis of equivalence

BACKGROUND

While Cognitive Behavioral Therapy (CBT) is recommended as first-line treatment for depression, a significant minority do not show an adequate treatment response. Despite evidence for the efficacy of Mindfulness-Based Therapies (MBT) both in treating current depression and preventing relapse, it remains unknown whether MBT and CBT are equivalent in the treatment of current depression.

METHODS

Five databases were searched for randomized controlled trials (RCTs) directly comparing MBT with CBT and including depression as primary or secondary outcome.

RESULTS

When pooling the results of 30 independent RCTs with a total of 2750 participants, MBT and CBT were statistically significantly equivalent at both post-intervention (Hedges's g = -0.009; p < .001) and follow-up (g = -0.033; p = .001). Supplementary Bayesian analyses provided further support for the alternative hypothesis of no difference between MBT and CBT. When exploring possible sources of heterogeneity, the differences at follow-up were smaller between CBT and mindfulness-based cognitive therapy (MBCT) than between CBT and mindfulness-based stress-reduction (MBSR) (Slope = 0.37;p = .022).

CONCLUSION

The currently available evidence suggests that that MBT and CBT are equally efficacious in treating current adult depression. It remains unclear whether the similar effects of the two intervention types are due to different mechanisms or common factors.

Loneliness, social isolation, depression and anxiety among the elderly in Shanghai: Findings from a longitudinal study

OBJECTIVES

To investigate the longitudinal associations between loneliness, social isolation, depression and anxiety in the elderly.

METHODS

A longitudinal cohort study was conducted among 634 older adults from three districts of Shanghai. Data were collected at baseline and 6-month follow-up. Loneliness and social isolation were measured using the De Jong Gierveld Loneliness Scale and the Lubben Social Network Scale respectively. Depressive and anxiety symptoms were assessed using the subscales of Depression Anxiety Stress Scales. Logistic regression and negative binomial regression models were used to examine the associations.

RESULTS

We found that moderate to severe loneliness at baseline predicted higher depression scores 6 months later (incidence rate ratio (IRR)=1.99, 95% confidence interval (CI) [1.12, 3.53], p=0.019), while higher depression scores at baseline predicted social isolation at follow-up (odds ratio (OR)=1.14, 95% CI [1.03, 1.27], p=0.012). We also observed that higher anxiety scores predicted lower risk of social isolation (OR=0.87, 95% CI [0.77, 0.98], p=0.021). Additionally, persistent loneliness at both timepoints was significantly associated with higher depression scores at follow-up, and persistent social isolation was associated with a greater likelihood of having moderate to severe loneliness and higher depression scores at follow-up.

CONCLUSIONS

Loneliness was found to be a robust predictor of changes in depressive symptoms. Both persistent loneliness and social isolation were closely associated with depression. We should develop effective and feasible interventions for older adults who have depressive symptoms or who are at risk of long-term social relationship problems to avoid the vicious circle among depression, social isolation and loneliness.

Entertain Me Well: An Entertaining, Tailorable, Online Platform Delivering CBT for Depression

Depression prevalence is high, impacting approximately 20% of Americans during their lifetime, and on the rise due to stress and loss associated with the COVID-19 pandemic. Despite the high prevalence of depression, unacceptable treatment access disparities persist. When depression goes untreated, it leads to substantial negative impacts in multiple life domains. Cognitive behavioral therapy (CBT), the gold-standard psychosocial treatment for depression, remains largely unavailable to individuals living with depression, particularly individuals who are members of underrepresented groups in our society. Digital mental health interventions (DMHI) have led to important advances in extending the reach of CBT for depression; however, they are underutilized and treatment engagement remains low. We sought to address some of the current gaps in DMHI by developing an online platform for delivering CBT for depression that is entertaining, simple and straightforward, and tailorable. First, this article introduces our online platform, Entertain Me Well (EMW) and its key innovations, including the use of an engaging, character-driven storyline presented as "episodes" within each session, as well as customizable content that allows for tailoring of text, images, and examples to create content most relevant to the target client population, context, or setting. Next, we describe two EMW depression treatment programs that have been tailored: one for delivery in the rural church setting, called Raising Our Spirits Together, and one tailored for delivery in dialysis centers, called Doing Better on Dialysis. Finally, we discuss future directions for the EMW platform, including the ability to create programs for other common mental health and health conditions, the development of additional character-driven storylines with greater treatment personalization, translation of content in multiple languages, and the use of additional technological innovation, such as artificial intelligence like natural language processing, to enhance platform interactivity.

Community-guided measurement-based care for autistic youth and adults receiving psychotherapy: A conceptual overview and pilot implementation study of MBC-AUT

LAY ABSTRACT

Autistic youth and adults are more likely to experience psychiatric symptoms (e.g. depression, anxiety) and to use psychiatric services than non-autistic people, yet research on evidence-based approaches to enhance psychiatric care for autistic people is limited. Measurement-based care is an evidence-based approach to psychotherapy that improves outcomes for clients, clinicians, and organizations by routinely administering and evaluating measures to clients. Despite this, research on measurement-based care systems for autistic clients is sparse. To address this gap, we developed an autism-adapted measurement-based care (MBC-AUT) system for and with autistic people and pilot tested the system in an outpatient psychiatry clinic to investigate the preliminary feasibility, acceptability, benefits, and barriers to this system for clients and clinicians. Findings suggested that the MBC-AUT system was a feasible and acceptable system for the first 18 autistic youth, their caregivers, and autistic adults to use the system. In semi-structured interviews, clients and clinicians discussed the benefits of the MBC-AUT system to various therapeutic processes, as well as several important barriers to the use of the system. We offer potential solutions to address these barriers and to reduce client and clinician burden, and propose future directions for this line of research to increase access to more autistic people. As autistic clients continue to seek psychological services amid social landscapes of increasing complexity (e.g. COVID-19 pandemic), efforts to enhance the delivery of psychotherapy for this population are critical.

Different Categorizations of Women's Sexual Orientation Reveal Unique Health Outcomes in a Nationally Representative U.S. Sample

BACKGROUND

Sexual minority women (i.e., women minoritized for their sexualities) are identified as high risk for mental health and substance use problems; however, there is no consensus on the criteria by which women are categorized as sexual minority. Though there is some evidence suggesting that certain subgroups of women are at higher risk than others based on sexual orientation, different categorization schemes for sexual orientation have yet to be compared within the same sample.

METHOD

Using data from the National Epidemiologic Survey of Alcohol and Related Conditions-III (N = 19,528), we examined how multiple categorization schemes (i.e., identity, behavior, recency of sexual behavior) for categorizing women who have sex with women (WSW) yield different estimates of prevalence of mental health and substance use issues. We used chi-square and logistic regression to analyze the link between sexual orientation categorization schemes and health, categorizing by 1) self-identification only, 2) behavior only, and 3) the combination of self-identification and behavior (recent vs. past).

RESULTS

We discovered high prevalence rates of health problems among heterosexual-identified WSW who reported no recent sexual activity with women (i.e., previously had sex with women but not within the past 12 months); this category of women comprised 35% of all WSW.

DISCUSSION

Step by step, we found more detailed information about these women's experiences by moving to the complex categorization scheme (the combination of self-identification and behavior). Heterosexual-identified women who have had sex with women in their past (though not recently) presented as a large group with high prevalence rates of substance use and mental disorders. These women remain invisible to researchers who categorize sexual orientation only by sexual identity or by behavior and ignore the role of behavior change over time-imprecisely categorizing such women as heterosexual or as women who have sex with men. They thus are underserved by health research and represent a significant population for further study and intervention.

Pharmacological Interventions versus Combined Treatment of Depression: A Prospective Study

Introduction

Depression is a common disease worldwide but still, the role of combined treatment (pharmacological and psychological interventions) needs to be clarified. The study aims to compare the effectiveness of integrated treatment versus exclusive pharmacological intervention of depression.

Materials and methods

The observational prospective study provided the collection of data relating to outpatients evaluated through the administration of the Hamilton Depression Rating Scale (HDRS), the Hamilton Anxiety Rating Scale (HARS), and the Clinical Global Impression Scale (CGI) both at T0 and at a 3-month follow up visit (T1).

Results

A statically significant association between sex (female) and psychotherapy utilization emerged. A statistically significant association between education (graduated patients) and psychotherapy use was observed. The other qualitative variables showed no statistically significance associations. No significant association between drop out and type of treatment emerged.

Discussion

Clinical research has not yet conclusively demonstrated the superiority of combined therapy over single treatments. As regards sex, the result is in line with the professional literature and provides support in describing how men have more stigmatizing beliefs about treatment of mental health. As regards education, graduated people present higher rates of adherence probably because they may have major introspective capacity and predisposition to communication.

Conclusions

Limitations consist in small sample and short duration of the follow-up (3 months). The strengths, in the type of setting and the respect for routine clinical practice. Future perspective of the research could focus on application of rating instruments to highlight the variables involved in depressive disorder.

Sustainable return to work after depression - A comparative study among occupational physicians and affected employees

Introduction

The number of sick days taken from work due to depression is steadily rising. A successful return to work (RTW) is essential for sustainable reintegration. This study aims to identify factors to optimize RTW and to investigate approaches for sustainable RTW (sRTW) after depressive episodes.

Methods

Semi-structured expert interviews with senior occupational physicians (OPs, N = 5) served to develop two surveys among OPs (N = 180) and employees after depressive episode (N = 192). Predictors of RTW rating, workplace-based RTW interventions and sRTW interventions were analyzed using multiple hierarchical regression, chi-square difference and t-tests.

Results

For OPs, employee training on mental illness prevention was found to be the strongest predictor of overall RTW rating, whereas understanding and appreciation in conversations and stigmatization were strongest predictors of overall RTW rating by the employees. Compared to the employees, OPs reported significantly more availability of workplace-based interventions. To prevent relapse, the employees prioritized sufficient time and financial security during the RTW process more than OPs.

Conclusions

The study identified facilitating and hindering factors that can inform further research and practice to improve RTW after depressive episodes. To redress the awareness gap about the availability of workplace-based interventions, regular contact between OPs and employees is crucial. Several factors were considered to be of varying importance for relapse prevention by the two groups. Multiple perceptions and needs ought to be taken into account during RTW.

Early indicators of vulnerability to depression: The role of rumination and heart rate variability

BACKGROUND

Despite the evidence of increased levels of rumination and reduced heart rate variability (HRV) in depression, whether these measures can be considered early indicators of vulnerability to depression has yet to be investigated. Therefore, the present study aimed to investigate both levels of rumination and resting HRV in individuals with familial risk for depression that is the most reliable risk factor for the disorder.

METHODS

Rumination and vagally-mediated HRV were assessed using the Ruminative Response Scale and a smartphone-based photoelectric volumetric pulse wave assay, respectively, in 25 individuals who had family history of depression (but did not report current depressive symptoms), 15 individuals who reported depressive symptoms (but had no family history of depression), and 25 controls (without depressive symptoms and family history of depression).

RESULTS

Individuals with depressive symptoms and those with a family history of depression were characterized by higher levels of rumination and lower cardiac vagal control than controls.

LIMITATIONS

Given the small sample size, this study should be used to design larger confirmatory studies; the cross-sectional nature of the study does not allow discussing the results in terms of cause-effect relationships.

CONCLUSIONS

Our findings suggested that individuals at risk of developing depression, also in absence of depressive symptoms, are defined by defective self-regulation capacity that may lead to future depression episodes. Increased ruminative thoughts and reduced HRV may represent early indicators of vulnerability to depression. Effective prevention programs designed to reduce rumination and/or increase HRV may reduce the risk of developing a full-blown depressive episode.

Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization

Accurate measurement of the effects of disease status on healthcare costs is important in the pragmatic evaluation of interventions but is complicated by endogeneity bias. Mendelian Randomization, the use of random perturbations in germline genetic variation as instrumental variables, can avoid these limitations. We used a novel Mendelian Randomization analysis to model the causal impact on inpatient hospital costs of liability to six prevalent diseases and health conditions: asthma, eczema, migraine, coronary heart disease, Type 2 diabetes, and depression. We identified genetic variants from replicated genome-wide associations studies and estimated their association with inpatient hospital costs on over 300,000 individuals. There was concordance of findings across varieties of sensitivity analyses, including stratification by sex and methods robust to violations of the exclusion restriction. Results overall were imprecise and we could not rule out large effects of liability to disease on healthcare costs. In particular, genetic liability to coronary heart disease had substantial impacts on costs.

Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia

BACKGROUND

Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia.

METHODS

A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two 'Holy water sites' (places where religious treatment is being provided). The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists. We analyzed data using exploratory factor analysis, Spearman's rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach's alpha.

RESULTS

PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach's alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho = 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items.

CONCLUSION

Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression in the PHC context in Ethiopia. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures.

Repetitive Transcranial Magnetic Stimulation-Associated Changes in Neocortical Metabolites in Major Depression: A Systematic Review

•

We reviewed 12 studies that measured metabolites pre and post rTMS in MDD.

•

Frontal lobe Glu, Gln, NAA, and GABA increased after rTMS.

•

Increases in metabolites were often associated with MDD symptom improvement.

•

We propose novel intracellular mechanisms by which metabolites are altered by rTMS.

Introduction

Repetitive Transcranial magnetic stimulation (rTMS) is an FDA approved treatment for major depressive disorder (MDD). However, neural mechanisms contributing to rTMS effects on depressive symptoms, cognition, and behavior are unclear. Proton magnetic resonance spectroscopy (MRS), a noninvasive neuroimaging technique measuring concentrations of biochemical compounds within the brain in vivo, may provide mechanistic insights.

Methods

This systematic review summarized published MRS findings from rTMS treatment trials to address potential neurometabolic mechanisms of its antidepressant action. Using PubMed, Google Scholar, Web of Science, and JSTOR, we identified twelve empirical studies that evaluated changes in MRS metabolites in a within-subjects, pre- vs. post-rTMS treatment design in patients with MDD.

Results

rTMS protocols ranged from four days to eight weeks duration, were applied at high frequency to the left dorsolateral prefrontal cortex (DLPFC) in most studies, and were conducted in patients aged 13-to-70. Most studies utilized MRS point resolved spectroscopy acquisitions at 3 Tesla in the bilateral anterior cingulate cortex and DLPFC. Symptom improvements were correlated with rTMS-related increases in the concentration of glutamatergic compounds (glutamate, Glu, and glutamine, Gln), GABA, and N-acetylated compounds (NAA), with some results trend-level.

Conclusions

This is the first in-depth systematic review of metabolic effects of rTMS in individuals with MDD. The extant literature suggests rTMS stimulation does not produce changes in neurometabolites independent of clinical response; increases in frontal lobe glutamatergic compounds, N-acetylated compounds and GABA following high frequency left DLPFC rTMS therapy were generally associated with clinical improvement. Glu, Gln, GABA, and NAA may mediate rTMS treatment effects on MDD symptomatology through intracellular mechanisms.

The Effect of Sericin on the Cognitive Impairment, Depression, and Anxiety Caused by Learned Helplessness in Male Mice

Learned helplessness (LH) induces cognitive and emotional abnormalities via alteration of synaptic and apoptotic markers in the hippocampus. Given the sericin's neuroprotective effects on different experimental models, this study aimed to address whether sericin is able to reduce LH-induced behavioral and molecular changes in the mouse model. Sixty male mice (3 months old) were randomly divided into control, normal saline (NS), and/or different doses of sericin (Ser [100, 200, and 300 mg/kg]) for 21 days. Accordingly, the animals in NS and sericin-treated groups were subjected to 1 day learned helplessness protocol. Behavioral deficits were evaluated and alterations in both synaptic and apoptotic factors were evaluated in the hippocampus. Induction of LH was associated with behavioral changes (depression and cognitive impairment). On the other hand, the administration of sericin effectively normalized these deficits. At molecular levels, sericin increased the levels of synaptophysin, synapsin-1, and PSD-95, and decreased apoptosis in the hippocampus. Although the exact mechanisms underlying the neuroprotective effects of sericin are not fully understood, our results showed that this effect mediated via modulation of the synaptic and apoptotic proteins in the hippocampus of LH-subjected mice.

Metabolomics of Major Depressive Disorder: A Systematic Review of Clinical Studies

Although the understanding of the pathophysiology of major depressive disorder (MDD) has advanced greatly, this has not been translated into improved outcomes. To date, no biomarkers have been identified for the diagnosis, prognosis, and therapeutic management of MDD. Thus, we aim to review the biomarkers that are differentially expressed in MDD. A systematic review was conducted in January 2022 in the PubMed/MEDLINE, Scopus, Embase, PsycINFO, and Gale Academic OneFile databases for clinical studies published from January 2001 onward using the following terms: "Depression" OR "Depressive disorder" AND "Metabolomic." Multiple metabolites were found at altered levels in MDD, demonstrating the involvement of cellular signaling metabolites, components of the cell membrane, neurotransmitters, inflammatory and immunological mediators, hormone activators and precursors, and sleep controllers. Kynurenine and acylcarnitine were identified as consistent with depression and response to treatment. The most consistent evidence found was regarding kynurenine and acylcarnitine. Although the data obtained allow us to identify how metabolic pathways are affected in MDD, there is still not enough evidence to propose changes to current diagnostic and therapeutic actions. Some limitations are the heterogeneity of studies on metabolites, methods for detection, analyzed body fluids, and treatments used. The experiments contemplated in the review identified increased or reduced levels of metabolites, but not necessarily increased or reduced the activity of the associated pathways. The information acquired through metabolomic analyses does not specify whether the changes identified in the metabolites are a cause or a consequence of the pathology.

Cost-Effectiveness of a Web-Based Program for Residual Depressive Symptoms: Mindful Mood Balance

OBJECTIVE

Mindful Mood Balance (MMB) is an effective Web-based program for residual depressive symptoms that prevents relapse among patients with partial recovery from major depressive episodes. This cost-effectiveness analysis was conducted from the health plan perspective alongside a pragmatic randomized controlled trial of MMB.

METHODS

Adults were recruited from behavioral health and primary care settings in a large integrated health system and randomly assigned to MMB plus usual depression care (MMB+UDC) or UDC. Patients had at least one prior major depressive episode; a current score of 5-9 on the Patient Health Questionnaire-9, indicating residual depressive symptoms; and Internet access. Program costs included recruitment, coaching, and MMB licensing. Center for Medicare and Medicaid fee schedules were applied to electronic health record utilization data for psychotropic medications and psychiatric and psychotherapy visits. Effectiveness was measured as depression-free days (DFDs), converted from PHQ-9 scores collected monthly for 1 year. Incremental cost-effectiveness ratios were calculated with various sets of cost inputs.

RESULTS

A total of 389 patients (UDC, N=210; MMB+UDC, N=179) had adequate follow-up PHQ-9 measures for inclusion. MMB+UDC patients had 29 more DFDs during follow-up. Overall, the incremental cost of MMB+UDC was $431.54 over 12 months. Incremental costs per DFD gained ranged from $9.63 for program costs only to $15.04 when psychiatric visits, psychotherapy visits, and psychotropic medications were included.

CONCLUSIONS

MMB offers a cost-effective Web-based program for reducing residual depressive symptoms and preventing relapse. Health systems should consider adopting MMB as adjunctive to traditional mental health care services.

Technology-Assisted, Group-Based CBT for Rural Adults' Depression: Open Pilot Trial Results

PURPOSE

This pilot study assesses the association of Raising Our Spirits Together (ROST), a technology-assisted, group-based cognitive behavioral therapy for depression, with rural adults' depressive symptoms and anxiety.

METHOD

Nine adults from rural Michigan participated in an open pilot of ROST. Clergy facilitated pilot groups. The pilot began in February 2020 in-person. Due to COVID-19, the pilot was completed virtually.

RESULTS

Mean depressive symptom scores, based on the PHQ-9, significantly decreased from pre-treatment (M = 14.4) to post-treatment (M = 6.33; t (8) = 6.79; P < .001). Symptom reduction was maintained at 3-month follow-up (M = 8.00), with a significant pattern of difference in depressive symptoms over time (F(2) = 17.7; P < .001; eta-squared = .689). Similar patterns occurred for anxiety based on the GAD-7. Participants attended an average of 7.33 of 8 sessions. Fidelity ratings were excellent.

DISCUSSION

ROST is a potentially feasible intervention for rural adults' depressive symptoms. ROST offers a promising model for increasing treatment access and building capacity in rural areas.

Nitric Oxide Synthase activity in major depressive episodes before and after antidepressant treatment: Results of a large case-control treatment study

BACKGROUND

Nitric oxide synthase (NOS) activity, an enzyme potentially involved in the major depressive episodes (MDE), could be indirectly measured by the L-Citrulline/L-Arginine ratio (L-Cit/L-Arg). The aim of this study was: (1) to compare the NOS activity of patients with a MDE to that of healthy controls (HC); (2) to assess its change after antidepressant treatment.

METHODS

A total of 460 patients with a current MDE in a context of major depressive disorder (MDD) were compared to 895 HC for NOS activity (L-Cit/L-Arg plasma ratio). L-Arg and L-Cit plasma levels were measured using a MS-based liquid chromatography method. Depressed patients were assessed at baseline, and after 3 and 6 months of antidepressant treatment for depression severity and clinical response.

RESULTS

Depressed patients had a lower NOS activity than HC at baseline [0.31 ± 0.09 v. 0.38 ± 0.12; 95% confidence interval (CI) -0.084 to -0.062, p < 0.0001]. Lower NOS activity at baseline predicted a higher response rate [odds ratio (OR) = 29.20; 95% CI 1.58-536.37; p = 0.023]. NOS activity in depressed patients increased significantly up to 0.34 ± 0.08 after antidepressant treatment (Est = 0.0034; 95% CI 0.0002-0.0067; p = 0.03).

CONCLUSIONS

Depressed patients have a decreased NOS activity that improves after antidepressant treatment and predicts drug response. NOS activity may be a promising biomarker for MDE in a context of MDD.

An Epigenetic Perspective on Lifestyle Medicine for Depression: Implications for Primary Care Practice

Depression is the most common presenting mental health disorder in primary care. It is also a major contributor to somatic complaints, worsening of chronic medical conditions, poor quality of life, and suicide. Current pharmacologic and psychotherapeutic approaches avert less than half of depression's cumulative burden on society. However, there is a growing body of research describing both how maladaptive lifestyle choices contribute to the development and worsening of depression and how lifestyle-oriented medical interventions can reduce the incidence and severity of depression. This research, largely derived from an emerging field called epigenetics, elucidates the interactions between our lifestyle choices and those epigenetic factors which mediate our tendencies toward either health, or the onset, if not worsening of disease. The present review highlights how lifestyle choices involving diet, physical activity, sleep, social relationships, and stress influence epigenetic processes positively or negatively, and thereby play a significant role in determining whether one does or does not suffer from depression. The authors propose that medical training programs consider and adopt lifestyle medicine oriented instructional initiatives that will enable tomorrow's primary care providers to more effectively identify and therapeutically intervene in the maladaptive choices contributing to their patients' depression.

Neurostimulation therapies in major depressive disorder: A decision-analytic model

AIM

Neurostimulation techniques are effective treatments for major depressive disorders (MDD). However, the optimal sequence of electroconvulsive therapy (ECT) and transcranial magnetic stimulation (TMS) as part of antidepressant treatment algorithm is unclear. We examined the cost-effectiveness of ECT and TMS in MDD.

METHODS

A decision-analytic model was developed to determine total costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) for 10 strategies. Each strategy comprised four treatment lines with ECT and TMS incorporated as second, third, or fourth line. A scenario analysis that explored the cost-effectiveness of maintenance approach by continuing ECT and TMS after acute treatment was performed.

RESULTS

In the base case, fourth-line TMS after three preceding trials of antidepressants was least costly at US$ 5523 yielding 1.424 QALYs. Compared with this strategy, fourth-line ECT and third-line TMS followed by ECT were cost-effective with ICERs of US$ 7601 per QALY gained and US$ 11 388 per QALY gained, respectively. In the scenario analysis where continuation treatments of ECT and TMS were provided, third-line TMS followed by ECT was cost-effective, with an ICER of US$ 17 198 per QALY gained. Effectiveness of ECT and cost of managing severe depression were influential parameters affecting the cost-effectiveness results.

CONCLUSIONS

In acute treatment of MDD, fourth-line ECT was the most cost-effective strategy. In maintenance treatment, the strategy that incorporated third-line TMS and fourth-line ECT was cost-effective. The overall findings confirmed the value of neurostimulation therapies which should be offered early in the process of managing depression.

Difference in patterns of prescribing antidepressants known for their weight-modulating and cardiovascular side effects for patients with obesity compared to patients with normal weight

BACKGROUND

Patients with depression and comorbid obesity may be more prone to weight modulating and cardiovascular side effects of selected antidepressants (AD). It is important to ascertain whether these AD prescriptions differ by patient weight status.

METHODS

Canadian Primary Care Sentinel Surveillance Network (CPCSSN) electronic medical records were used. Participants were adults with depression prescribed an AD in 2000-2016, with weight categories established before the first prescription. Logistic regression and mixed effects models were applied to examine associations between obesity and AD prescribing, adjusted for sex, age, and comorbidities. Machine learning algorithm random forest (RF) was used to evaluate the importance of weight in predicting prescribing patterns.

RESULTS

Of 26,571 participants, 72.4% were women, mean age was 38.9 years (standard deviation (SD)=14.2) and mean BMI 27.0 kg/m² (SD = 6.5); 9.5% had ≥ 1 comorbidity. Patients with obesity, compared to normal weight patients, were more likely to receive bupropion (adjusted odds ratio (aOR) 1.24, 95%CI: 1.09,1.42), fluoxetine (aOR 1.14, 95%CI: 0.97,1.34), and amitriptyline (aOR 1.13, 95%CI: 0.93,1.36), and less likely to receive mirtazapine (aOR 0.55, 95%CI: 0.44,0.68) and escitalopram (aOR 0.88, 95%CI: 0.80, 0.97). RF analysis showed that weight was among the most important predictors of prescribing patterns, equivalent to age and more important than sex.

CONCLUSIONS

AD prescribing patterns for patients with obesity appear to be different for selected AD types, including AD known for their weight-modulating and cardiovascular side effects. Longitudinal studies are needed to examine whether these prescribing patterns are associated with significant health outcomes.

Polysomnography in seasonal affective disorder: A systematic review and meta-analysis

BACKGROUND

. Although sleep disturbances are ubiquitous in depression, studies assessing sleep architecture lead to conflicting results, possibly because of the heterogeneity in this disorder. We aimed to focus on Seasonal Affective Disorder (SAD), which is directly associated with circadian and sleep homeostasis impairments.

METHODS

. A systematic search was conducted in July 2019. Original papers reporting data about night sleep architecture using polysomnography (PSG), in SAD or remitted-SAD and controls, were included.

RESULTS

. Seven studies were retained and included 183 individuals, including 109 patients with SAD and 74 healthy controls. The random-effects meta-analysis showed that rapid eye movement sleep (REM) was significantly increased in SAD compared to controls (REM amount: SMD=1[0.11,1.88], p = 0.027; REM percentage: SMD=0.71[0.02,1.40], p = 0.045). Remitted SAD patients, compared to controls, also had a significantly increased REM sleep (REM amount: SMD=1.84[0.78,2.90], p<0.001; REM percentage: SMD=1.27[0.51,2.03], p = 0.001) and a significantly decreased REM latency (SMD=-0.93[-1.73,-0.13], p = 0.022). No differences were observed for total sleep time, sleep efficiency, and slow-wave-sleep.

LIMITATIONS

. Most studies had small sample size, with no placebo group and with open designs.

CONCLUSIONS

. REM sleep amount and latency appear altered both during the acute and remitted phase of SAD, representing trait markers with interesting diagnosis and therapeutic implications.

Smartphone Delivery of Cognitive Behavioral Therapy for Postintensive Care Syndrome-Family: Protocol for a Pilot Study

BACKGROUND

Family members of critically ill patients experience symptoms of postintensive care syndrome-family (PICS-F), including anxiety, depression, and posttraumatic stress disorder. Postintensive care syndrome-family reduces the quality of life of the families of critically ill patients and may impede the recovery of such patients. Cognitive behavioral therapy has become a first-line nonpharmacological treatment of many psychological symptoms and disorders, including anxiety, depression, and posttraumatic stress. With regard to managing mild-to-moderate symptoms, the delivery of cognitive behavioral therapy via mobile technology without input from a clinician has been found to be feasible and well accepted, and its efficacy rivals that of face-to-face therapy.

OBJECTIVE

The purpose of our pilot study is to examine the efficacy of using a smartphone mobile health (mHealth) app to deliver cognitive behavioral therapy and diminish the severity and prevalence of PICS-F symptoms in family members of critically ill patients.

METHODS

For our pilot study, 60 family members of critically ill patients will be recruited. A repeated-measures longitudinal study design that involves the randomization of participants to 2 groups (the control and intervention groups) will be used. The intervention group will receive cognitive behavioral therapy, which will be delivered via a smartphone mHealth app. Bandura's social cognitive theory and an emphasis on mental health self-efficacy form the theoretical framework of the study.

RESULTS

Recruitment for the study began in August 2020. Data collection and analysis are expected to be completed by March 2022.

CONCLUSIONS

The proposed study represents a novel approach to the treatment of PICS-F symptoms and is an extension of previous work conducted by the research team. The study will be used to plan a fully powered randomized controlled trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04316767; https://clinicaltrials.gov/ct2/show/NCT04316767.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/30813.

Economic evaluation in psychiatric pharmacogenomics: a systematic review

Nowadays, many relevant drug-gene associations have been discovered, but pharmacogenomics (PGx)-guided treatment needs to be cost-effective as well as clinically beneficial to be incorporated into standard health care. To address current challenges, this systematic review provides an update regarding previously published studies, which assessed the cost-effectiveness of PGx testing for the prescription of antidepressants and antipsychotics. From a total of 1159 studies initially identified by literature database querying, and after manual assessment and curation of all of them, a mere 18 studies met our inclusion criteria. Of the 18 studies evaluations, 16 studies (88.89%) drew conclusions in favor of PGx testing, of which 9 (50%) genome-guided interventions were cost-effective and 7 (38.9%) were less costly compared to standard treatment based on cost analysis. More precisely, supportive evidence exists for CYP2D6 and CYP2C19 drug-gene associations and for combinatorial PGx panels, but evidence is limited for many other drug-gene combinations. Amongst the limitations of the field are the unclear explanation of perspective and cost inputs, as well as the underreporting of study design elements, which can influence though the economic evaluation. Overall, the findings of this article demonstrate that although there is growing evidence on the cost-effectiveness of genome-guided interventions in psychiatric diseases, there is still a need for performing additional research on economic evaluations of PGx implementation with an emphasis on psychiatric disorders.

Executive functions and functional impairment in Latin seniors suffering from depression

Functional impairment (FI) relates to the condition of executive functions (EFs). While EFs become affected by age and educational level (EL). Seniors suffering from depression (SSDs) on the other hand show EF-related deficiencies; however, there is hardly any literature available regarding their relationship with FI in Latin SSDs, who usually have low ELs.

OBJECTIVE

To verify the relationship between EFs and FI in SSDs of Latin origins, by controlling the effects associated with age and educational level.

METHODOLOGY

Cross-sectional study, of cases and controls, conducted on a nonprobability sample, made up of 102 self-sufficient SSDs and 142 control subjects over age 50, monolinguals of Latin origin (Chileans), all assessed by means of a battery of assessments such as: Geriatric Depression Scale, Addenbrook's Cognitive Assessment III, Trail making Tests A and B, STROOP word-color test, and semantic and phonological verbal fluency tests. A domain of composite EFs was established with standardized Chilean population scores, where age and educational levels were controlled. A simple linear regression analysis was conducted to determine the relationship between EFs and FI in SSDs.

RESULTS

Upon controlling age and educational levels, EFs explained an FI variance of 3.9% in SSDs; depression explained an EF variance of 3.2%, and 3.7% of FI.

CONCLUSION

The results of the present study highlight the importance of a timely intervention when it comes to geriatric depression, considering the negative effect it has over the executive functions and the functionality of seniors.

Feasibility and Efficacy of Delivering Cognitive Behavioral Therapy Through an Online Psychotherapy Tool for Depression: Protocol for a Randomized Controlled Trial

BACKGROUND

Major depressive disorder (MDD) is a prevalent and debilitating mental health disorder. Among different therapeutic approaches (eg, medication and psychotherapy), psychotherapy in the form of cognitive behavioral therapy (CBT) is considered the gold standard treatment for MDD. However, although efficacious, CBT is not readily accessible to many patients in need because of hurdles such as stigma, long wait times, high cost, the large time commitment for health care providers, and cultural or geographic barriers. Electronically delivered cognitive behavioral therapy (e-CBT) can effectively address many of these accessibility barriers.

OBJECTIVE

This study aims to investigate the efficacy and feasibility of implementing an e-CBT program compared with in-person treatment for MDD. It is hypothesized that the e-CBT program will offer results comparable with those of the in-person treatment program, regarding symptom reduction and quality of life improvement.

METHODS

This nonrandomized controlled trial intervention will provide e-CBT for MDD through the Online Psychotherapy Tool, a secure, cloud-based, digital mental health platform. Participants (aged 18-65 years) will be offered 12 weekly sessions of an e-CBT program tailored to MDD to address their depressive symptoms. Participants (n=55) will complete predesigned modules and homework assignments while receiving personalized feedback and interacting with a therapist through the platform. Using clinically validated symptomology questionnaires, the efficacy of the e-CBT program will be compared with that of a group (n=55) receiving in-person CBT. Questionnaires will be completed at baseline, at week 6 and week 12, and at a 6-month follow-up. Focus groups will be conducted to investigate personal, cultural, and social factors impacting the accessibility and feasibility of implementing a web-based psychotherapy tool from a patient and care provider perspective. Inclusion criteria include diagnosis of MDD, competence to consent to participate, ability to speak and read English, and consistent and reliable access to the internet. Exclusion criteria include active psychosis, acute mania, severe alcohol or substance use disorder, and active suicidal or homicidal ideation.

RESULTS

Ethics approval was obtained in January 2019, and recruitment of participants began in June 2019. Recruitment has been conducted via social media, web-based communities, and physician referrals. To date, 52 participants have been recruited to the e-CBT group, and 48 patients have been recruited to the in-person CBT group. Data collection is expected to be completed by March 2021, and analyses are expected to be completed by June 2021, as linear regression (for continuous outcomes) and binomial regression analysis (for categorical outcomes) are still being conducted.

CONCLUSIONS

The results of this study can provide valuable information for the development of more accessible and scalable mental health interventions with increased care capacity for MDD, without sacrificing the quality of care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04478058; http://clinicaltrials.gov/ct2/show/NCT04478058.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/27489.

The factors of patient-reported readiness for hospital discharge in patients with depression: A cross-sectional study

WHAT IS KNOWN ON THE SUBJECT?: The attributes of readiness for hospital discharge (RHD) have been identified to be physical stability, adequate support, psychological ability, and adequate information and knowledge. Patient-reported RHD has been regarded as an outcome indicator, and poor RHD leads to unplanned readmission, emergency department visits and even death. Knowledge regarding patient-reported RHD and its factors among patients with depression is limited. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: RHD among patients with depression is at a moderate level. More than a quarter of people with depression had low RHD. The knowledge dimension of the RHDS among patients with depression should be further strengthened. The length of stay, content received and delivery dimensions of the QDTS were significantly associated with RHD. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This study encourages nurses to assess patient-reported RHD at discharge in mental health settings. Nurses should pay more attention to patients with hospital stays longer than 20 days. Nurses could improve RHD by enhancing the quality of discharge teaching, particularly the content received and the skills nurses used to deliver such content. Nurses' managers could develop programmes to improve teaching skills via Internet technology, such as simulated patients and online interprofessional discharge planning. ABSTRACT: Introduction Low readiness for hospital discharge (RHD) can be followed by negative healthcare outcomes. However, no studies have investigated RHD among patients with depression. Aim This study aimed to examine patient-reported RHD and its factors among patients with depression. Method In total, 367 inpatients with depression were recruited and completed the Readiness for Hospital Discharge Scale (RHDS) and Quality of Discharge Teaching Scale (QDTS). A binary logistic regression analysis was performed to explore the factors of RHD among patients with depression. Results The total RHDS score was 7.70 ± 1.52. Approximately 28.9% of the participants had low RHD (RHDS score < 7). The results revealed that RHD was significantly associated with the length of stay, content received and delivery. Discussion RHD among patients with depression is at a moderate level. More than a quarter of people with depression had low RHD. To improve RHD, enhancing the quality of discharge teaching is imperative for patients with depression. Implications for Practice Nurses should pay more attention to patients with a hospital stay longer than 20 days. Nurses could improve RHD by enhancing the quality of discharge teaching, particularly the content received and the skills nurses used to deliver such content.

Peer-delivered Cognitive Behavioral Therapy-based Intervention Reduced Depression and Stress in Community Dwelling Adults With Diabetes and Chronic Pain: A Cluster Randomized Trial

BACKGROUND

Finding effective, accessible treatment options such as professional-delivered cognitive behavioral therapy (CBT) for medically complex individuals is challenging in rural communities.

PURPOSE

We examined whether a CBT-based program intended to increase physical activity despite chronic pain in patients with diabetes delivered by community members trained as peer coaches also improved depressive symptoms and perceived stress.

METHODS

Participants in a cluster-randomized controlled trial received a 3-month telephonic lifestyle modification program with integrated CBT elements. Peer coaches assisted participants in developing skills related to adaptive coping, diabetes self-management goal-setting, stress reduction, and cognitive restructuring. Attention controls received general health advice with an equal number of contacts but no CBT elements. Depressive symptoms and stress were assessed using the Centers for Epidemiologic Studies Depression and Perceived Stress scales. Assessments occurred at baseline, 3 months, and 1 year.

RESULTS

Of 177 participants with follow-up data, 96% were African Americans, 79% women, and 74% reported annual income <$20,000. There was a significant reduction in perceived stress in intervention compared to control participants at 3-months (β = -2.79, p = .002 [95% CI -4.52, -1.07]) and 1 year (β = -2.59, p < .0001 [95% CI -3.30, -1.87]). Similarly, intervention participants reported significant decreases in depressive symptoms at 3-months (β = -2.48, p < .0001 [95% CI -2.48, -2.02]) and at 1 year (β = -1.62, p < .0001 [95% CI -2.37, -0.86]).

CONCLUSIONS

This peer-delivered CBT-based program improved depressive symptoms and stress in individuals with diabetes and chronic pain. Training community members may be a feasible strategy for offering CBT-based interventions in rural and under-resourced communities.

CLINICAL TRIAL REGISTRATION

NCT02538055.

Gut Microbiota Mediates the Preventive Effects of Dietary Capsaicin Against Depression-Like Behavior Induced by Lipopolysaccharide in Mice

Capsaicin (CAP) is an active ingredient in chili pepper that is frequently consumed. It exerts various pharmacological activities, and also has potential effects on mental illness. However, its mechanism of antidepressant effects is still unclear. Based on the emerging perspective of the gut-brain axis, we investigated the effects of dietary CAP on gut microbes in mice with depression-like behaviors induced by lipopolysaccharide (LPS). C57BL/6J male mice (four weeks old) were given specific feed (standard laboratory chow or laboratory chow plus 0.005% CAP) for 4 months. During the last five days, LPS (0.052/0.104/0.208/0.415/0.83 mg/kg, 5-day) was injected intraperitoneally to induce depression. Behavioral indicators and serum parameters were measured, and gut microbiota were identified by sequencing analysis of the 16S gene. This study showed that dietary CAP improved depressive-like behavior (sucrose preference test, forced swimming test, tail suspension test) and levels of 5-HT and TNF-α in serum of LPS-induced mice with depression-like behaviors. In addition, CAP could recover abnormal changes in depression-related microbiota. Especially at the genus level, CAP enhanced the variations in relative abundance of certain pivotal microorganisms like Ruminococcus, Prevotella, Allobaculum, Sutterella, and Oscillospira. Correlation analysis revealed changes in microbiota composition that was closely related to depressive behavior, 5-HT and TNF-α levels. These results suggested that dietary CAP can regulate the structure and number of gut microbiota and play a major role in the prevention of depression.

Changes in concentrations of NMDA receptor subunit GluN2B, Arc and syntaxin-1 in dorsal hippocampus Schaffer collateral synapses in a rat learned helplessness model of depression

Major depressive disorder involves changes in synaptic structure and function, but the molecular underpinnings of these changes are still not established. In an initial pilot experiment, whole-brain synaptosome screening with quantitative western blotting was performed to identify synaptic proteins that may show concentration changes in a congenital rat learned helplessness model of depression. We found that the N-methyl-d-aspartate receptor (NMDAR) subunits GluN2A/GluN2B, activity-regulated cytoskeleton-associated protein (Arc) and syntaxin-1 showed significant concentration differences between congenitally learned helpless (LH) and nonlearned helpless (NLH) rats. Having identified these three proteins, we then performed more elaborate quantitative immunogold electron microscopic analyses of the proteins in a specific synapse type in the dorsal hippocampus: the Schaffer collateral synapse in the CA1 region. We expanded the setup to include also unstressed wild-type (WT) rats. The concentrations of the proteins in the LH and NLH groups were compared to WT animals. In this specific synapse, we found that the concentration of NMDARs was increased in postsynaptic spines in both LH and NLH rats. The concentration of Arc was significantly increased in postsynaptic densities in LH animals as well as in presynaptic cytoplasm of NLH rats. The concentration of syntaxin-1 was significantly increased in both presynaptic terminals and postsynaptic spines in LH animals, while pre- and postsynaptic syntaxin-1 concentrations were significantly decreased in NLH animals. These protein changes suggest pathways by which synaptic plasticity may be increased in dorsal hippocampal Schaffer collateral synapses during depression, corresponding to decreased synaptic stability.

Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis

BACKGROUND

Older people coming from a lower wealth gradient are more vulnerable to have stressful life events further adding more risk for common mental health disorders and psychological distress situations. The present study explores the associations between socioeconomic and health-related variables and psychological distress among older adults in India and the contribution of such factors to the inequalities in psychological distress.

METHODS

A cross-sectional survey of 9181 older adults conducted as 'Building a Knowledge Base on Population Ageing in India' was assessed. Logistic regression and decomposition models were used to analyze the data. Psychological distress was measured from General Health Questionnaire (GHQ-12). The value of Cronbach's alpha was 0.90. It was having a scale of 0 to 12 on the basis of experiencing stressful symptoms and was re-coded as 0 (representing 6+ stressful symptoms) and 1 (representing 5 and fewer symptoms).

RESULTS

Older adults from the poored, suffering from multi-morbidity, disabled, with low activities of daily living and low instrumental activities of daily living and poor cognitive ability were suffering from high psychological distress in India. Further, factors such as religion, caste, education, living arrangements, and self-worth in the family were major contributors to the concentration of psychological distress in older adults from poor households (concentration index: - 0.23).

CONCLUSION

The study suggests that among older people, there is a wide disparity of experiencing psychological distress across different socio-economic groups with significant factors being responsible for inequality in psychological distress. There is a need to build a "win-win" circumstance across sectors, including a broad spectrum of health, social and economic benefits to the vulnerable older population.

Integrating Cultural Relevance into a Behavioral mHealth Intervention for Native American Youth

Native American communities are disproportionately affected by a number of behavioral health disparities, including higher rates of depression, substance abuse, and suicide. As mobile health (mHealth) interventions gain traction as methods for addressing these disparities, they continue to lack relevance to Native American youth. In an effort to explore the design of relevant behavioral mHealth intervention for Native American communities, we have developed ARORA (Amplifying Resilience Over Restricted Internet Access), a prototype behavioral mHealth intervention that has been co-designed with Native American youth, a community advisory board, and a clinical psychologist. In this paper, we qualitatively analyze our co-design and focus group sessions using a grounded theory approach and identify the key themes that Native American community members have identified as being critical components of relevant mHealth designs. Notably, we find that the Native American youth who participated in our focus groups desired a greater level of didactic interaction with cultural and behavioral health elements. We conclude with a discussion of the significant challenges we faced in our efforts to co-design software with Native American stakeholders and provide recommendations that might guide other HCI researchers and designers through challenges that arise during the process of cross-cultural design.

Biological rhythms and chronotherapeutics in depression

Depressive syndromes are frequent and heterogeneous brain conditions with more than 90% of patients suffering from sleep complaints. Better characterizing this "sleep" domain may allow to both better treat acute episodes with existing chronotherapeutics, but also to prevent the manifestation or recurrences of mood disorders. This work aims to i) review theoretical and fundamental data of chronotherapeutics, and ii) provide practical recommendations. Light therapy (LT) can be used as a first-line monotherapy of moderate to severe depression of all subtypes. LT can be also used as a combination with antidepressant to maximize patients' response rates, which has a clear superiority to antidepressant alone. Sleep deprivation (SD) is a rapid and powerful chronotherapeutic with antidepressant responses within hours in 45-60% of patients with unipolar or bipolar depression. Different strategies should be combined to stabilize the SD antidepressant effect, including concomitant medications, repeated SD, combination with sleep phase advance and/or LT (triple chronotherapy). Melatonin treatment is of interest in remitted patients with mood disorder to prevent relapses or recurrences, if a complaint of insomnia, poor sleep quality or phase delay syndrome is associated. During the acute phase, melatonin could be used as an adjuvant treatment for symptoms of insomnia associated with depression. The cognitive behavioral therapy for insomnia (CBT-I) can be recommend to treat insomnia during euthymic phases. The Interpersonal and social rhythm therapy (IPSRT) is indicated for the acute treatment of bipolar depression and for the prevention of mood episodes. Chronotherapeutics should always be associated with behavioral measures for healthy sleep.

Characteristics Associated With Depression, Anxiety, and Social Isolation in Adults With Spina Bifida

OBJECTIVE

To identify demographic and clinical characteristics associated with depression, anxiety, and social isolation among adults with spina bifida. We hypothesize that lower urinary tract dysfunction is associated with poor psychosocial outcomes.

METHODS

An anonymous survey was distributed via Facebook advertising to individuals with congenital urologic conditions. Adults with spina bifida were included in our analysis. Lower urinary tract dysfunction was assessed with the Neurogenic Bladder Symptom Score. Depression, anxiety, and social isolation T-scores were measured using Patient-Reported Outcome Measures Information System instruments. A composite depression-anxiety score was calculated. Separate adjusted linear models assessed the association between lower urinary tract dysfunction and depression, anxiety, composite depression-anxiety, and social isolation.

RESULTS

Around 195 participants were included. Rates of depression, anxiety, and social isolation were 48%, 47%, and 43%, respectively. Comorbid depression and anxiety occurred in 39% of subjects. On adjusted regression analysis, lower urinary tract dysfunction was associated with depression (P < 001), anxiety (P <.001), composite depression-anxiety (P <.001), and social isolation (P = .010).

CONCLUSION

Depression, anxiety, and social isolation are common in individuals with spina bifida relative to the general population, and associated with lower urinary tract dysfunction. Interventions focused on optimizing lower urinary tract symptoms and function, transition-age adults, group psychotherapy, and comorbid depression and anxiety may be of particular value in this population.

Complications of Non-Alcoholic Fatty Liver Disease in Extrahepatic Organs

Non-alcoholic fatty liver disease (NAFLD) is now recognized as the most common chronic liver disease worldwide, along with the concurrent epidemics of metabolic syndrome and obesity. Patients with NAFLD have increased risks of end-stage liver disease, hepatocellular carcinoma, and liver-related mortality. However, the largest cause of death among patients with NAFLD is cardiovascular disease followed by extrahepatic malignancies, whereas liver-related mortality is only the third cause of death. Extrahepatic complications of NAFLD include chronic kidney disease, extrahepatic malignancies (such as colorectal cancer), psychological dysfunction, gastroesophageal reflux disease, obstructive sleep apnea syndrome, periodontitis, hypothyroidism, growth hormone deficiency, and polycystic ovarian syndrome. The objective of this narrative review was to summarize recent evidences about extrahepatic complications of NAFLD, with focus on the prevalent/incident risk of such diseases in patients with NAFLD. To date, an appropriate screening method for extrahepatic complications has not yet been determined. Collaborative care with respective experts seems to be necessary for patient management because extrahepatic complications can occur across multiple organs. Further studies are needed to reveal risk profiles at baseline and to determine an appropriate screening method for extrahepatic diseases.

Determinants of depression in women with chronic disease: Evidence from a sample of poor loan takers from Pakistan

Depression is one of the most common mental health problems in Pakistani women, with prevalence rates estimated to be above 30%. Identification of the determinants of depression in chronically ill, poor, and debt-ridden women of the country is a neglected area. A quantitative survey using standardized tools was used to sample women from across Pakistan. It was found that women had higher odds of depression when they (a) perceived unfavorable self-health, (b) had less health decision-making power, (c) encountered difficulties in healthcare services, and (d) faced food insecurity. Key reforms are recommended to improve state protection policies, mental healthcare services, and cultural support for disadvantaged women in the country.

A Scoping Review of Non-Occupational Exposures to Environmental Pollutants and Adult Depression, Anxiety, and Suicide

PURPOSE OF REVIEW

Despite a call for better understanding of the role of environmental pollutant influences on mental health and the tremendous public health burden of mental health, this issue receives far less attention than many other effects of pollutants. Here we summarize the body of literature on non-occupational environmental pollutant exposures and adult depression, anxiety, and suicide-in PubMed, Embase, Web of Science, and PsychINFO through the end of year 2018.

RECENT FINDINGS

One hundred twelve articles met our criteria for further review. Of these, we found 88 articles on depression, 33 on anxiety, and 22 on suicide (31 articles covered multiple outcomes). The earliest article was published in 1976, and the most frequent exposure of interest was air pollution (n = 33), followed by secondhand smoke (n = 20), metals (n = 18), noise (n = 17), and pesticides (n = 10). Other exposures studied less frequently included radiation, magnetic fields, persistent organic pollutants (POPs), volatile organic compounds, solvents, and reactive sulfur compounds. The current literature, although limited, clearly suggests many kinds of environmental exposures may be risk factors for depression, anxiety, and suicide. For several pollutants, important limitations exist with many of the studies. Gaps in the body of research include a need for more longitudinal, life-course studies, studies that can measure cumulative exposures as well as shorter-term exposures, studies that reduce the possibility of reverse causation, and mechanistic studies focused on neurotoxic exposures.