Clinical and health services relationships between major depression, depressive symptoms, and general medical illness

Association between chronic disease status and transitions in depressive symptoms among middle-aged and older Chinese population: Insights from a Markov model-based cohort study

BACKGROUND

The relationship between chronic disease status (CDS) and transitions in depressive symptoms (DS) remains unclear. This study explores the association between CDS and DS transitions.

METHODS

This cohort study analyzed data from 8175 participants aged 45+, sourced from China Family Panel Studies (2016, 2018, 2020). DS were assessed using a brief version of Center for Epidemiologic Studies Depression Scale (CES-D). CDS was categorized into healthy, single disease, and multimorbidity. Markov models were used to estimate state transition intensities, mean sojourn times and hazard ratios (HRs).

RESULTS

DS transitions occurred between adjacent and non-adjacent states, but transition intensity between adjacent states was higher than among non-adjacent states. Self-transition intensities of severe-DS, mild-DS, and non-DS progressively increased, with average durations of 1.365, 1.482, and 7.854 years, respectively. Both single disease and multimorbidity were significantly associated with an increased risk of transitioning from non-DS to mild-DS, with multimorbidity showing a stronger association. In contrast, HRs for single diseases transitioning from mild-DS to severe-DS were significantly lower than 1. Furthermore, their HRs were almost <1 in recovery transitions but not statistically significant.

LIMITATIONS

Specific chronic diseases and their combinations were not analyzed.

CONCLUSIONS

The progression of DS exhibits various pathways. CDS is associated with DS transitions, but the roles of single disease and multimorbidity may differ across different DS progression stages. Both conditions were significantly linked to the risk of new-onset DS, with multimorbidity posing a greater association. However, this relationship is not observed in other progression stages. These findings could provide insights for early prevention and intervention for DS.

Identifying influencing factors of metabolic syndrome in patients with major depressive disorder: A real-world study with Bayesian network modeling

BACKGROUND

The bidirectional relationships between metabolic syndrome (MetS) and major depressive disorder (MDD) were discovered, but the influencing factors of the comorbidity were barely investigated. We aimed to fully explore the factors and their associations with MetS in MDD patients.

METHODS

The data were retrieved from the electronic medical records of a tertiary psychiatric hospital in Beijing from 2016 to 2021. The influencing factors were firstly explored by univariate analysis and multivariate logistic regressions. The propensity score matching was used to reduce the selection bias of participants. Then, the Bayesian networks (BNs) with hill-climbing algorithm and maximum likelihood estimation were preformed to explore the relationships between influencing factors with MetS in MDD patients.

RESULTS

Totally, 4126 eligible subjects were included in the data analysis. The proportion rate of MetS was 32.6 % (95 % CI: 31.2 %-34.1 %). The multivariate logistic regression suggested that recurrent depression, uric acid, duration of depression, marriage, education, number of hospitalizations were significantly associated with MetS. In the BNs, number of hospitalizations and uric acid were directly connected with MetS. Recurrent depression and family history psychiatric diseases were indirectly connected with MetS. The conditional probability of MetS in MDD patients with family history of psychiatric diseases, recurrent depression and two or more times of hospitalizations was 37.6 %.

CONCLUSION

Using the BNs, we found that number of hospitalizations, recurrent depression and family history of psychiatric diseases contributed to the probability of MetS, which could help to make health strategies for specific MDD patients.

Causes and consequences of major depressive disorder: An encompassing Mendelian randomization study

Background

Major depressive disorder (MDD) is a prevalent and debilitating disorder that has been associated with a range of risk factors and outcomes. Causal pathways between MDD and other traits can be studied using genetic variants as instrumental variables.

Methods

A literature review was conducted to identify 201 MDD-associated traits. For 115 traits, there were well-powered genome-wide association study (GWAS) results available that could be used to assess the genetic correlation with MDD. Of these, there were 89 meeting criteria for investigating causal associations in both directions using two-sample Mendelian randomization (TSMR). Of the traits that were not captured by GWAS, 43 could be included as outcomes of MDD using one-sample MR (OSMR). A range of methods and sensitivity tests was applied to gauge robustness of results, together with statistical power analyses to aid interpretation.

Outcomes

Moderate to strong genetic overlap was found between MDD and most traits. Support for causal effects of MDD liability were found for circadian, cognitive, diet, medical disease, endocrine, functional, inflammatory, metabolic, mortality, physical activity, reproduction, risk behavior, social, socioeconomic, and suicide outcomes. Most associations were bidirectional, although there was less evidence for diet, disease, and endocrine traits causing MDD risk. Results were robust across sensitivity analyses.

Interpretation

This study provides a systematic overview of traits putatively causally related to MDD, confirming previous findings as well as identifying new associations. Our results highlight the importance of MDD as a risk factor cross-cutting across medical, functional, and psychosocial domains and emphasize the need for concerted efforts at reducing this highly prevalent disorder.

Association between high or low-quality carbohydrate with depressive symptoms and socioeconomic-dietary factors model based on XGboost algorithm: From NHANES 2007-2018

BACKGROUND

Depressive symptoms are a serious public mental health problem, and dietary intake is often considered to be associated with depressive symptoms. However, the relationship between the quality of dietary carbohydrates and depressive symptoms remains unclear. Therefore, this study aimed to investigate the relationship between high and low-quality carbohydrates and depressive symptoms and to attempt to construct an integrated model using machine learning to predict depressive symptoms.

METHODS

A total of 4982 samples from the National Health and Nutrition Examination Survey (NHANES) were included in this study. Carbohydrate intake was assessed by a 24-h dietary review, and depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ9). Variance inflation factor (VIF) and Relief-F algorithms were used for variable feature selection.

RESULTS

The results of multivariate linear regression showed a negative association between high-quality carbohydrates and depressive symptoms (β: -0.147, 95 % CI: -0.239, -0.056, p = 0.002) and a positive association between low-quality carbohydrates and depressive symptoms (β: 0.018, 95 % CI: 0.007, 0.280, p = 0.001). Subsequently, we used the XGboost model to produce a comprehensive depressive symptom evaluation model and developed a corresponding online tool (http://8.130.128.194:5000/) to evaluate depressive symptoms clinically.

LIMITATIONS

The cross-sectional study could not yield any conclusions regarding causality, and the model has not been validated with external data.

CONCLUSIONS

Carbohydrate quality is associated with depressive symptoms, and machine learning models that combine diet with socioeconomic factors can be a tool for predicting depression severity.

Terazosin produces an antidepressant-like effect in mice exposed to chronic unpredictable mild stress behavioral alteration

Terazosin is an α1-adrenergic receptor antagonist that can relax smooth muscle and is prescribed to treat benign prostatic hyperplasia and, rarely, hypertension. The present study investigated the antidepressant-like actions of terazosin (TZ) in mice. They were first subjected to chronic unpredictable mild stress (CUMS) and then the effects of TZ were assessed using the forced swimming test (FST) and tail suspension test (TST), sucrose preference test (SPT), actophotometer test (APT). The changes in the PGK1 levels, neurotransmitters, and proinflammatory cytokines levels after chronic stress and TZ treatment were examined. It was found that TZ exhibited an antidepressant-like effect in the FST, TST, SPT, and APT. It was effective in the CUMS model of depression. It was also found that TZ treatment reduced the levels of proinflammatory cytokines and elevated the neurotransmitter levels in mice. Results of this study suggest that TZ has antidepressant-like actions in mice models of CUMS induced depression.

Effectiveness of Telecare Interventions on Depression Symptoms Among Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Depression is the most common psychiatric disorder among older adults. Despite the effectiveness of pharmacological and psychological therapies, many patients with late-life depression (LLD) are unable to access timely treatment. Telecare has been shown to be effective in addressing patients' psychosocial issues, while its effectiveness in serving patients with LLD remains unclear.

OBJECTIVE

This study aimed to evaluate the effectiveness of telecare in reducing depression and anxiety symptoms and improving quality of life (QoL) in patients with LLD.

METHODS

Databases including the Cochrane Library, Web of Science, PubMed, Embase, and EBSCO were searched for randomized controlled trials (RCTs) evaluating the effectiveness of telecare for LLD from database establishment to December 28, 2022.

RESULTS

A total of 12 RCTs involving 1663 participants were identified in this study. The meta-analysis showed that (1) telecare significantly reduced depressive symptoms in patients with LLD compared to those in usual care (UC; standardized mean difference [SMD]=-0.46, 95% CI -0.53 to -0.38; P<.001), with the best improvement observed within 3 months of intervention (SMD=-0.72, 95% CI -1.16 to -0.28; P<.001); (2) other scales appeared more effective than the Patient Health Questionnaire-9 for LLD in telecare interventions (SMD=-0.65, 95% CI -0.96 to -0.35; P<.001); (3) telecare was more effective than telephone-based interventions for remote monitoring of LLD (SMD=-1.13, 95% CI -1.51 to -0.76; P<.001); (4) the reduction of depressive symptoms was more pronounced in patients with LLD with chronic conditions (SMD=-0.67, 95% CI -0.89 to -0.44; P<.001); (5) telecare was more effective for LLD in Europe and the Americas than in other regions (SMD=-0.73, 95% CI -0.99 to -0.47; P<.001); (6) telecare significantly reduced anxiety symptoms in patients with LLD (SMD=-0.53, 95% CI -0.73 to -0.33; P=.02); and (7) there was no significant improvement in the psychological components of QoL in patients with LLD compared to those receiving UC (SMD=0.30, 95% CI 0.18-0.43; P=.80).

CONCLUSIONS

Telecare is a promising modality of care for treatment, which can alleviate depression and anxiety symptoms in patients with LLD. Continued in-depth research into the effectiveness of telecare in treating depression could better identify where older patients would benefit from this intervention.

Relationship between depression, anxiety, stress, and health-related quality of life in adults with and without chronic diseases: A cross-sectional study

Health-related quality of life (HRQoL) in patients with chronic diseases is an important tool to measure patient-reported health outcomes and evaluate the usefulness of treatment, management, and rehabilitation programs. Patients with chronic diseases are more likely than those without to experience psychological problems such as depression, anxiety, and stress, all of which can affect HRQoL. This study evaluated the impact of psychological problems such as depression, anxiety, and stress on HRQoL in people with and without chronic diseases in South Korea. The study's descriptive survey included 501 participants (191 with and 310 without chronic diseases). Data were collected using structured questionnaires between April and May 2021. The general characteristics, DASS-21, and HRQOL of this study were analyzed using descriptive statistics. Differences in DASS-21 and HRQoL based on general characteristics were analyzed using t tests and ANOVA. The study analyzed the factors influencing the participants' HRQoL using stepwise multiple regression analysis with SPSS Win 27.0. HRQoL was generally lower for patients with chronic diseases than for patients without. In patients with chronic diseases, the major variables affecting HRQoL were depression (β = -0.244, t = -3.582, P < .001), exercise (β = 0.201, t = 2.927, P = .004), and economic status (β = -0.150, t = -2.184, P = .030), of which depression was the most influential. These variables explained 12.5% of the variance in the regression model for total HRQoL. These results emphasize the need to explore intervention measures that can reduce depression in patients with chronic diseases and anxiety in patients without chronic diseases to improve their HRQoL. In addition, national efforts are needed to provide economic support, as economic status is an influential factor in HRQoL regardless of the presence of chronic disease. The study's limitations include the fact that neither did it consider disease severity among chronically ill patients nor did it examine all the variables affecting HRQoL.

Cancer worry and its impact on self-reported depressive symptoms among adult males and females in the US: a nationwide sample study

OBJECTIVE

With cancer the second deadliest disease in the world, worry about cancer can have mental health or psychiatric implications. This study examines the prevalence, differences, and influence of cancer worry (CW), its interaction effect with age, and other confounders on self-reported depressive symptoms (SRDS) among adult males and females in the US.

METHODS

We utilized a nationally representative sample data of 2,950 individuals (males = 1,276; females = 1,674) from Cycle 4 of the Health Information National Trends Survey 5 (HINTS 5) 2020. Using frequencies, bivariate chi-square test, and multivariate logistic regression, we examined the prevalence, difference, and association of CW with SRDS, adjusting for confounders.

RESULTS

The prevalence rate of SRDS was found to be 32% among females and 23.5% among males. Among individuals with CW, females had a higher prevalence of SRDS compared to males (40.5% vs. 35.1%). However, there was a significant difference in the likelihood of experiencing SRDS between males and females with CW, with males having 84% increased risk compared to females. Across all age groups, the multivariate analysis of the relationship between CW and SRDS revealed that both males and females showed a significantly decreased likelihood of SRDS compared to those aged 18-34 years. However, males aged 35 years or older exhibited an even more pronounced decrease in likelihood compared to females in the same age group. Nonetheless, when examining the interaction of age and CW, we observed a significantly increased likelihood of SRDS across all age groups. Males, in particular, had a higher increased likelihood of SRDS compared to females across all ages, except for those aged 75 years and older.

CONCLUSION

The findings of this study highlight the significant influence of CW on individuals' SRDS and the modifying effect of age, particularly among males. These results are important for a better understanding of the risk of CW on mental health, which can be a preventive strategy or control mechanism.

Impression life with pulmonary hypertension: clinically relevant characteristics and quality of life among patients in Gansu, China

BACKGROUND

The adverse effects of pulmonary arterial hypertension (PAH) on physical, emotional, and health-related quality of life (HRQoL) remain primarily unrecognized, especially in resource-limited settings.

OBJECTIVES

This study aims to characterize the HRQoL of patients with PAH in this area and also identify the potential role of clinically relevant characteristics, including the 6-min walk distance test (6MWD), WHO-Functional Classification (WHO-FC), and mental health in the occurrence of lowering quality of life.

DESIGN

This was a cross-sectional observational study.

METHODS

Inpatients with PAH were chosen from a tertiary hospital located in Gansu province, China. All participants were interviewed face-by-face by using questionnaires, including items from the 36-Item Short Form Health Survey (SF-36), the self-rating anxiety scale, and the self-rating depression scale. Data on demographic and clinically relevant characteristics, including WHO-FC and 6MWD, were also collected by tracing medical recorders. Multiple linear regression analysis was used to determine the association between demographic, clinically relevant characteristics data, and physical component summary (PCS) or mental component summary (MCS) in SF-36.

RESULTS

Of the 152 participants, SF-36 differed significantly from Chinese norms in all eight domains, with role-physical (21.55 ± 9.87) less than one-third of the norm (88.79 ± 28.49). Multiple linear regression results showed that the factors with the greatest impact on PCS were anxiety scores (β = -0.22, p = 0.001), followed by WHO-FC (β = -0.16, p = 0.014) and 6MWD (β = 0.15, p = 0.036). The factors with the greatest impact on MCS were WHO-FC (β = -0.30, p < 0.001), followed by anxiety (β = -0.23, p = 0.001) and depression scores (β = -0.16, p = 0.013).

CONCLUSION

HRQoL was substantially reduced among PAH patients in the resource-limited area, mainly the physiological functions. WHO-FC and anxiety scores were independently associated with both PCS and MCS in SF-36. Clinicians should make reasonable rehabilitation programs and plans for patients according to their cardiac function grade and the severity of clinical symptoms. In addition, psychological interventions should also be taken, especially for those with anxiety symptoms, so as to improve their HRQoL.

Preclinical models of treatment-resistant depression: challenges and perspectives

Treatment-resistant depression (TRD) is a subgroup of major depressive disorder in which the use of classical antidepressant treatments fails to achieve satisfactory treatment results. Although there are various definitions and grading models for TRD, common criteria for assessing TRD have still not been established. However, a common feature of any TRD model is the lack of response to at least two attempts at antidepressant pharmacotherapy. The causes of TRD are not known; nevertheless, it is estimated that even 60% of TRD patients are so-called pseudo-TRD patients, in which multiple biological factors, e.g., gender, age, and hormonal disturbances are concomitant with depression and involved in antidepressant drug resistance. Whereas the phenomenon of TRD is a complex disorder difficult to diagnose and successfully treat, the search for new treatment strategies is a significant challenge of modern pharmacology. It seems that despite the complexity of the TRD phenomenon, some useful animal models of TRD meet the construct, the face, and the predictive validity criteria. Based on the literature and our own experiences, we will discuss the utility of animals exposed to the stress paradigm (chronic mild stress, CMS), and the Wistar Kyoto rat strain representing an endogenous model of TRD. In this review, we will focus on reviewing research on existing and novel therapies for TRD, including ketamine, deep brain stimulation (DBS), and psychedelic drugs in the context of preclinical studies in representative animal models of TRD.

Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual care

BACKGROUND

Subclinical depression (SD) is a mental health disorder characterized by minor depressive symptoms. Most SD patients are treated in the primary practice, but many respond poorly to treatment at the expense of provider resources. Stepped care approaches are appealing for tiering SD care to efficiently allocate scarce resources while jointly optimizing patient outcomes. However, stepped care can be time inefficient, as some persons may respond poorly and be forced to suffer with their symptoms for prolonged periods. Machine learning can offer insight into optimal treatment paths and inform clinical recommendations for incident patients.

METHODS

As part of the Step-Dep trial, participants with SD were randomized to receive stepped care (N=96) or usual care (N=140). Machine learning was used to predict changes in depressive symptoms every three months over a year for each treatment group.

RESULTS

Tree-based models were effective in predicting PHQ-9 changes among patients who received stepped care (r=0.35-0.46, MAE=0.14-0.17) and usual care (r=0.34-0.49, MAE=0.15-0.18). Patients who received stepped care were more likely to reduce PHQ-9 scores if they had high PHQ-9 but low HADS-A scores at baseline, a low number of chronic illnesses, and an internal locus of control.

LIMITATIONS

Models may suffer from potential overfitting due to sample size limitations.

CONCLUSION

Our findings demonstrate the promise of machine learning for predicting changes in depressive symptoms for SD patients receiving different treatments. Trained models can intake incident patient information and predict outcomes to inform personalized care.

Human Immunodeficiency Virus (HIV) Treatment With Antiretroviral Therapy Mitigates the High Risk of Mental Health Disorders Associated With HIV Infection in the US Population

Background

Whether treatment of human immunodeficiency virus (HIV) with antiretroviral therapy (ART) is associated with lower risk of mental health disorders (MHDs) among people with HIV (PWH) remains unknown. We aim to determine the association between HIV and MHDs and whether ART alters the risk of MHDs among PWH in the US adult population.

Methods

We conducted a real-world study using the Merative MarketScan claims database (2016-2020), identifying individuals with HIV (diagnosed using International Classification of Diseases, Tenth Revision, Clinical Modification codes) and those without HIV. A multivariable stratified Cox proportional hazard regression model was conducted to examine the association of HIV treatment status with MHDs, adjusting for potential confounders. Additionally, we sought to determine the effect modification of ART on the relationship between living with HIV and MHDs.

Results

A total of 313 539 individuals, with a mean age of 44.2 (standard deviation, 11.4) years, predominantly males (81.2%), residing in the South region of the US (50.9%) were included in the present analysis. During 671 880 person-years of follow-up, 46 235 incident MHD cases occurred. In the multivariable Cox proportional hazard model, living with HIV was associated with higher risk of incident MHDs. Relative to those without HIV, the adjusted hazard ratio was 1.85 (95% confidence interval [CI], 1.79-1.92; P < .001) for those with HIV on treatment, and 2.70 (95% CI, 2.59-2.82; P < .001) for those with HIV without any treatment. Stronger associations between HIV and MHDs were observed in men relative to women, among those aged 18-34 years relative to those aged 55-63 years, and among those with no overweight/obesity relative to obese individuals (Pinteraction < .001 for all).

Conclusions

HIV was associated with an increased risk of developing MHDs. However, HIV treatment mitigated the risk.

The prevalence of depression, anxiety, and sleep disturbances in patients with neuromyelitis optica spectrum disorders (NMOSD): A systematic review and meta-analysis

OBJECTIVE

To estimate pooled prevalence of depression, anxiety, and sleep disturbances in neuromyelitis optica spectrum disorders (NMOSD) cases.

METHODS

Electronic database of PubMed (MEDLINE), the Cochrane Central Register of Controlled Trials (CENTRAL), Embase and Web of Science ware systematically searched to identify relevant studies published not later than June 10, 2022. Specifically, original articles that reported the prevalence of depression, anxiety and sleep disturbances were selected. All pooled prevalence and 95 % confidence intervals (CIs) were calculated using a random-effects model. Publication bias was examined using funnel plots, and sensitivity analysis was used to explore the stability of the pooled results.

RESULTS

A total of 31 studies involving 4213 participants were included in this review. The pooled prevalence of depression was 40 % (95 % CI: 32-49 %), the pooled prevalence of anxiety was 45 % (95 % CI: 24-66 %), and the pooled prevalence of sleeping disturbances was 55 % (95 % CI: 46-64 %). The depression and anxiety prevalence estimates varied based on different screening tools.

CONCLUSIONS

There is a high prevalence of depression, anxiety, and sleep disturbances among NMOSD. These findings underscore the importance of regular monitoring of psychological status in NMOSD as well as the need for preventive approaches, early diagnosis, and intervention to improve medical and psychosocial outcomes.

Body mass index modifies the relationship between dietary iron intake and depressive symptoms among adults: A national population-based cohort

BACKGROUND

Research on the effects of dietary iron intake on depression is limited and controversial. The aim of this study was to explore the association between iron intake and the prevalence of depressive symptoms.

METHODS

The present study used cross-sectional data from people who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016. Logistic regression models and restricted cubic spline models were applied to investigate the relationship between iron intake and depressive symptoms.

RESULTS

A total of 16,098 adults aged 20 years or older were included in this study. Compared with individuals with lowest iron intake Q1 (≤8.31 mg/day), the adjusted OR values for dietary iron intake and depression in Q2 (8.32-11.47 mg/day), Q3 (11.48-15.02 mg/day), Q4 (15.03-20.28 mg/day), and Q5 (≥20.29 mg/day) were 0.69 (95 % CI: 0.52-0.91), 0.68 (95 % CI: 0.50-0.94,), 0.59 (95 % CI: 0.42-0.82,), and 0.63 (95 % CI: 0.40-0.98), respectively. The relationship between iron intake and depressive symptoms exhibited a non-linear. Our findings suggested an interaction between body mass index (BMI) and iron intake (P = 0.03). Additionally, the relationship between dietary iron intake and depressive symptoms in adults with a BMI <25 kg/m2 was U-shaped. And the OR of developing depressive symptoms was 0.93 (95 % CI: 0.87-0.99) in individuals with iron intake ≤19.72 mg/day.

LIMITATIONS

Cross-sectional study and relevant data was based on self-reports.

CONCLUSION

A higher iron intake is significantly associated with a decreased prevalence of depressive symptoms, and different levels of BMI can modify the association between them.

Suicidality and mood disorders in psychiatric emergency patients: Results from SBQ-R

Patients with mood disorders are at high risk of suicidality, and emergency departments (ED) are essential in the management of this risk. This study aims to (1) describe the suicidal thoughts and behaviours of patients with mood disorders who come to ED; (2) assess the psychometric properties of the Suicidal Behaviours Questionnaire-Revised (SBQ-R) in a psychiatric ED; and (3) determine the best predictors of suicidality for these patients. A total of 300 participants with mood disorders recruited for the Signature Bank of the Institut universitaire en santé mentale de Montréal (IUSMM) were retained. Suicidality was assessed using the SBQ-R. Other clinical and demographic details were recorded. Bivariate analyses, correlations and multivariate regression analyses were conducted. SBQ-R's internal consistency, construct and convergent validities were also tested. In the Patient Health Questionnaire-9 (PHQ-9), 53.3% of the sample stated they had suicidal or self-harm thoughts in the last 2 weeks. The mean score obtained at the SBQ-R was 8.3. Multivariate analysis found that SBQ-R scores were associated with depressive symptoms and substance use, especially alcohol, accounting for 44.3% of the model variance. Cronbach's alpha was 0.81 [0.78, 0.84] and factor loadings for items 1-4 were 0.68, 0.88, 0.54, and 0.85, respectively. The confirmatory factor analysis indicated that the model fit the data well. The SBQ-R is a brief and valid instrument that can easily be used in busy emergency departments to assess suicide risk. Depressive symptoms and alcohol use shall also be assessed, as they are determinants of increased risk of suicidality.

Dietary niacin intake in relation to depression among adults: a population-based study

BACKGROUND

Previous studies have shown that an antioxidant diet is a protective factor against depression. However, the association between niacin, an important antioxidant consumed from the diet, and depression has received little attention. Therefore, we explored the association between niacin intake and depression through a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016.

METHODS

Depression was measured using the Patient Health Questionnaire (PHQ-9, score ≥ 10). Niacin intake was assessed through 24-h dietary recall interviews. The relationship of niacin intake with depression among adults in US was assessed by using a weighted multiple logistic regression model with subgroup analysis. Non-linear associations were explored using restricted cubic spline models. And we used a two-piece-wise logistic regression model with smoothing to explore the threshold for association between them.

RESULTS

A total of 16,098 adults were included in this study. Compared with individuals with lowest niacin intake Q1 (≤ 15.96 mg/day), the adjusted OR values for dietary niacin intake and depression in Q2 (15.97-22.86 mg/day), Q3 (22.87-32.28 mg/day) and Q4 (≥ 32.29 mg/day), were 0.92 (95% CI: 0.70-1.20), 0.76 (95% CI: 0.56-0.99,) and 0.68 (95% CI: 0.48-0.98), respectively. The results were not modified by sex, by age and by BMI. Furthermore, the relationship between dietary niacin intake and depression exhibited a U-shaped curve (nonlinear, p < 0.001). And depression risk was lowest when dietary consumption of niacin was around 36 mg/day.

CONCLUSIONS

In present study, moderate niacin intake, but not high intake, was associated with lower odds of depression suggesting a U-shaped association.

Biochemical and Sociodemographic Correlates of Major Depressive Disorder in Patients With Chronic Kidney Disease Receiving Hemodialysis

Introduction Chronic kidney disease (CKD) is a chronic disabling illness with multiple physical and psychosocial consequences. A major treatment modality for CKD is renal replacement therapy in the form of hemodialysis. A bidirectional relationship between depression and CKD is proposed, as depressive symptoms lead to poorer outcomes in CKD and vice versa. This study aimed to determine the prevalence of major depressive disorder (MDD) in CKD patients on maintenance hemodialysis and find any sociodemographic, clinical, or biochemical correlates. Material and methods This was a cross-sectional study conducted at a tertiary care teaching hospital in north India. We used clinical interviews for diagnosing MDD according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). The severity was quantified using Hamilton Depression Rating Scale (HAM-D) in those diagnosed with MDD.  Results A total of 77 patients were included in the study. The prevalence of MDD in patients with CKD undergoing hemodialysis was 31.17%, much higher than in the general population. Most of those who were depressed had moderate to severe depression. Male gender and lower socioeconomic status were significantly associated with the diagnosis of MDD. Those undergoing dialysis less frequently or having more work days lost due to CKD were more likely to be depressed. Additionally, patients with MDD were found to have significantly lower blood hemoglobin levels, lower serum ionized calcium levels, and a lower urea reduction ratio compared to those who did not have MDD. Conclusion The high prevalence of MDD in patients with CKD undergoing hemodialysis suggests that clinicians should actively evaluate for depressive symptoms in this patient population and refer them to mental health services when required, especially those with the above-identified sociodemographic and biochemical risk factors.

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

BACKGROUND

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

POPULATION

METHODS

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

RESULTS

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

CONCLUSIONS

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

Association of Low-Normal Free T4 Levels With Future Major Depression Development

Context

Hyperthyroidism and overt and subclinical hypothyroidism are associated with major depression; however, the association of major depression across the spectrum of thyroid function within the normal range is unknown.

Objective

We investigated whether higher or lower levels of free thyroxine (T4) and thyrotropin (TSH) within the normal range are associated with major depression.

Methods

This was a retrospective cohort study of 66 960 participants with normal thyroid function who visited for health checkups (St. Luke's International Hospital, 2005-2018). The primary outcome was the development of major depression during the follow-up period. Participants were divided into 3 equal groups based on baseline free T4 or TSH values (low-, middle-, or high-normal), and the incidence of major depression was compared using the Cox proportional hazard model after adjusting for potential covariates.

Results

During the median follow-up of 1883 days, 1363 (2.0%) patients developed major depression. The low-normal free T4 group had a significantly higher risk of major depression (adjusted HR 1.15; 95% CI, 1.01-1.31), but not the high-normal free T4 group or TSH groups. The association between low-normal free T4 and the development of major depression was maintained, rather more obvious, upon exclusion of participants whose thyroid hormone levels became abnormal during follow-up compared with data from all participants (adjusted HR 1.24; 95% CI, 1.07-1.43).

Conclusion

In this cohort, low-normal free T4 was associated with an increased risk of future major depression, even if subsequent hormone levels were maintained within the normal range. The magnitude of the impact of low-normal free T4 was relatively mild.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression

BACKGROUND

A significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods.

METHODS

This retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM).

RESULTS

Our predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM.

CONCLUSIONS

Our study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

A CBT-based mobile intervention as an adjunct treatment for adolescents with symptoms of depression: a virtual randomized controlled feasibility trial

Background

High rates of adolescent depression demand for more effective, accessible treatment options. A virtual randomized controlled trial was used to assess the feasibility and acceptability of a 5-week, self-guided, cognitive behavioral therapy (CBT)-based mobile application, Spark, compared to a psychoeducational mobile application (Active Control) as an adjunct treatment for adolescents with depression during the COVID-19 pandemic.

Methods

A community sample aged 13-21, with self-reported symptoms of depression, was recruited nationwide. Participants were randomly assigned to use either Spark or Active Control (N_Spark = 35; N_{Active Control} = 25). Questionnaires, including the PHQ-8 measuring depression symptoms, completed before, during, and immediately following completion of the intervention, evaluated depressive symptoms, usability, engagement, and participant safety. App engagement data were also analyzed.

Results

60 eligible adolescents (female = 47) were enrolled in 2 months. 35.6% of those expressing interest were consented and all enrolled. Study retention was high (85%). Spark users rated the app as usable (System Usability Scale_mean = 80.67) and engaging (User Engagement Scale-Short Form_mean = 3.62). Median daily use was 29%, and 23% completed all levels. There was a significant negative relationship between behavioral activations completed and change in PHQ-8. Efficacy analyses revealed a significant main effect of time, F = 40.60, p < .001, associated with decreased PHQ-8 scores over time. There was no significant Group × Time interaction (F = 0.13, p = .72) though the numeric decrease in PHQ-8 was greater for Spark (4.69 vs. 3.56). No serious adverse events or adverse device effects were reported for Spark users. Two serious adverse events reported in the Active Control group were addressed per our safety protocol.

Conclusion

Recruitment, enrollment, and retention rates demonstrated study feasibility by being comparable or better than other mental health apps. Spark was highly acceptable relative to published norms. The study's novel safety protocol efficiently detected and managed adverse events. The lack of significant difference in depression symptom reduction between Spark and Active Control may be explained by study design and study design factors. Procedures established during this feasibility study will be leveraged for subsequent powered clinical trials evaluating app efficacy and safety.

Clinical Trial Registration

https://clinicaltrials.gov/ct2/show/NCT04524598.

Longitudinal trajectories of depressive symptoms: the role of multimorbidity, mobility and subjective memory

BACKGROUND

The high prevalence of depression among older people in China places a heavy burden on the health system. Multimorbidity, mobility limitation and subjective memory impairment are found to be risk indicators for depression. However, most studies on this topic focused on depression at a single point in time, ignoring the dynamic changes in depressive symptoms and the relationship between the trajectories and these three conditions. Therefore, we aimed to identify distinct trajectories of depressive symptoms in older people and investigate their associations with multimorbidity, mobility limitation and subjective memory impairment.

METHODS

Data was drawn from China Health and Retirement Longitudinal Study conducted during 2011-2018. A total of 5196 participants who completed 4 visits, conducted every 2-3 years were included in this study. Group-based trajectory modeling was conducted to identify distinct trajectories of depressive symptoms z-scores. Multinomial logistic regression was used to investigate the relationships.

RESULTS

Four distinct trajectories of depressive symptoms z-scores were identified, labeled as persistently low symptoms (68.69%, n = 3569), increasing symptoms (12.14%, n = 631), decreasing symptoms (14.05%, n = 730) and persistently high symptoms (5.12%, n = 266). Participants with multimorbidity had unfavorable trajectories of depressive symptoms compared with those without multimorbidity, with adjusted odds ratios (95% CIs) of 1.40 (1.15, 1.70), 1.59 (1.33, 1.90) and 2.19 (1.65, 2.90) for the increasing symptoms, decreasing symptoms and persistently high symptoms, respectively. We also observed a similar trend among participants with mobility limitations. Compared with participants who had poor subjective memory, participants with excellent/very good/good subjective memory had a lower risk of developing unfavorable trajectories of depressive symptoms. The adjusted odds ratios (95% CIs) of the increasing symptoms, decreasing symptoms and persistently high symptoms were 0.54 (0.40, 0.72), 0.50 (0.38, 0.65) and 0.48 (0.31, 0.73), respectively.

CONCLUSIONS

Multimorbidity, mobility limitation and subjective memory impairment were found to be potential risk factors for unfavorable depression trajectories.

Major depressive disorders increase the susceptibility to self-reported infections in two German cohort studies

INTRODUCTION

In several claims-based studies, major depressive disorder (MDD) has been associated with increased risk of hospitalization due to acute infections. It remains unclear if this is a causal effect, and if it generalizes to an increased susceptibility to infections.

METHODS

We used data of the BiDirect (n = 925) and the HaBIDS (n = 1007) cohort studies to estimate the effect of MDD on self-reported infections, which were assessed with identical infection susceptibility questionnaires in both studies. We used the Center for Epidemiologic Studies Depression Scale (CES-D) to examine if there was a dose-response relationship between depressive symptom severity and self-reported infections.

RESULTS

BiDirect participants with MDD diagnosis (48%) had a higher risk of lower respiratory tract infections (incidence rate ratio 1.32, 95% confidence interval [1.00-1.75]), gastrointestinal infections (1.68 [1.30-2.16]) and fever (1.48 [1.11-1.98]) after adjusting for confounders identified by a directed acyclic graph approach. There was a dose-response relationship, i.e. individuals with higher CES-D scores reported more infections. Effect sizes were similar in HaBIDS (4% individuals with MDD).

CONCLUSION

We found increased risks of mild infections in patients with MDD diagnosis and a dose-response relationship between depressive symptom severity and infection frequency. While causal immunological pathways remain unclear, the results of our study might contribute to a change in prevention strategies, e.g. by recommending vaccination against influenza and S. pneumoniae to MDD patients because observed effect sizes in our study are similar to those of patients with cardiovascular and metabolic diseases for which the respective vaccinations are recommended.

Patterns and Predictors of Multimorbidity in the Azar Cohort

BACKGROUND

The co-existence of chronic diseases (CDs), a condition defined as multimorbidity (MM), is becoming a major public health issue. Therefore, we aimed to determine the patterns and predictors of MM in the Azar Cohort.

METHODS

We evaluated the prevalence of MM in 15,006 (35-70-year old) subjects of the Azar Cohort Study. MM was defined as the co-existence of two or more CDs. Data on the subjects' socioeconomic status, demographics, sleeping habits, and physical activity were collected using questionnaires.

RESULTS

The overall prevalence of MM was 28.1%. The most prevalent CDs, in decreasing order, were obesity, hypertension, depression, and diabetes. Obesity, depression, and diabetes were the most co-occurring CDs. The MM risk increased significantly with age, illiteracy, and in females. Also, the subjects within the lowest tertile of physical activity level (OR=1.89; 95% CI: 1.75-2.05) showed higher MM risk than those with the highest level of physical activity. Findings regarding current smoking status indicated that being an ex-smoker or smoker of other types of tobacco significantly increased the risk of MM.

CONCLUSION

The reduction of MM is possible by promoting public health from an early age among people of various socioeconomic conditions. It is vital to offer the necessary health support to the aging population of Iran.

Assessment of Outcome-Based Measures of Depression Care Quality in Veterans Health Administration Facilities

To inform the potential use of patient-reported depression symptom outcomes as measures of care quality, this study collected and analyzed longitudinal Patient Health Questionnaire (PHQ9) scores among 1,638 patients who screened positive for major depression according to a PHQ9 ≥ 10 across 29 Department of Veterans Affairs facilities. The study found baseline PHQ9, prior mental health visits, physical functioning, and treatment expectancy were consistently associated with subsequent PHQ9 outcomes. No facilities outperformed any others on PHQ9 scores at the 6-month primary endpoint, and the corresponding intra-class coefficient was ≤ .01 for the entire sample (n = 1,214) and 0.03 for the subgroup of patients with new depression episodes (n = 629). Measures of antidepressant receipt, psychotherapy, or treatment intensification were not associated with 6-month PHQ9 scores. PHQ9 outcomes are therefore unlikely to be useful as quality indicators for VA healthcare facilities due to low inter-facility variation, and new care process measures are needed to inform care for patients with chronic depression prevalent in this sample.

The impact of depression and physical multimorbidity on health-related quality of life in China: a national longitudinal quantile regression study

The co-occurrence of mental and physical chronic conditions is a growing concern and a largely unaddressed challenge in low-and-middle-income countries. This study aimed to investigate the independent and multiplicative effects of depression and physical chronic conditions on health-related quality of life (HRQoL) in China, and how it varies by age and gender. We used two waves of the China Health and Retirement Longitudinal Study (2011, 2015), including 9227 participants aged ≥ 45 years, 12 physical chronic conditions and depressive symptoms. We used mixed-effects linear regression to assess the effects of depression and physical multimorbidity on HRQoL, which was measured using a proxy measure of Physical Component Scores (PCS) and Mental Component Scores (MCS) of the matched SF-36 measure. We found that each increased number of physical chronic conditions, and the presence of depression were independently associated with lower proxy PCS and MCS scores. There were multiplicative effects of depression and physical chronic conditions on PCS (- 0.83 points, 95% CI - 1.06, - 0.60) and MCS scores (- 0.50 points, 95% CI - 0.73, - 0.27). The results showed that HRQoL decreased markedly with multimorbidity and was exacerbated by the presence of co-existing physical and mental chronic conditions.

Psychedelic/entactogen‐assisted therapy for treatment of anxiety, depression and existential distress in adult palliative care

This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

To assess the benefits and harms of psychedelic/entactogen‐assisted therapy compared to placebo or active comparators (e.g. antidepressants) for treatment of anxiety, depression, and existential distress in adult palliative care.

Association between serum 25 (OH) D levels and depression symptoms in adults with prediabetes

BACKGROUND AND AIM

Depression symptoms are a significant risk factor for prediabetes-related diabetes, and low vitamin D levels are connected with depression symptoms. The goal of this study is to examine the association between vitamin D and depression symptoms in prediabetic persons.

METHODS

This cross-sectional survey was conducted in Tianjin, China, among 4051 individuals. Symptoms of depression were assessed using the Self-Rating Depression Scale (SDS) (cut-off point SDS ≥45). Serum 25 (OH) D concentrations were determined using an enzyme immunoassay (OCTEIA 25-hydroxy Vitamin D, IDS Ltd, UK) and classified into three levels: 50 nmol/L, 50-75 nmol/L, and >75 nmol/L. The link between serum 25 (OH) D concentrations and depression symptoms in prediabetes was investigated using multiple logistic regression analysis. The models were adjusted for a variety of potential confounders.

RESULTS

The prevalence of symptoms of depression in prediabetic adults was 14.2% (12.5% males and 16.4% females). After adjusting for potentially confounding variables, the odds ratios - ORs for symptoms of depression in women across serum 25 (OH) D levels were 1.00 (reference), 1.03 (0.57, 1.39), and 0.28 (0.12, 0.57), respectively (p = 0.0015). However, no statistically significant connection was discovered in males.

CONCLUSION

In women with prediabetes, we showed a substantial negative connection between serum 25 (OH) D levels and depressed symptoms. Vitamin D supplementation may be an effective way to decrease the risk of depression symptoms in women with prediabetes.

The Economic Burden Associated with Depressive Symptoms among Middle-Aged and Elderly People with Chronic Diseases in China

Coexisting physical diseases and depressive symptoms exacerbate morbidity and disability, but their incremental economic burden remains unclear. We used cross-sectional data from the China Health and Retirement Longitudinal Study (CHARLS) survey in 2018 to estimate the economic burden associated with depressive symptoms among middle-aged and elderly people with chronic diseases. A multivariable regression model was used to assess the annual health care utilization, expenditures, and productivity loss of depressive symptoms among people with 12 common chronic diseases. We found that depressive symptoms were associated with higher incremental economic burdens, as the total health care costs increased by 3.1% to 85.0% and annual productivity loss increased by 1.6% to 90.1%. Those with cancer or malignant tumors had the largest economic burden associated with depressive symptoms, with CNY 17,273.7 additional annual health care costs and a loss of CNY 2196.2 due to additional annual productivity loss. The effect of depressive symptoms on the economic burden of patients with chronic conditions did not increase by the number of chronic conditions. Considering the high economic burden associated with depressive symptoms among patients with chronic conditions, it is important to consider the mental health of patients in chronic disease treatment and management.

[Chronic low back pain-user types of ambulatory care : Cluster analysis of the utilization of ambulatory health care resources with administrative data of the AOK Baden-Württemberg]

BACKGROUND

Chronic low back pain (CLBP) is one of the most common musculoskeletal disorders. Ambulatory care currently does not provide a structured multimodal approach, even though multimodal therapy is recommended.

OBJECTIVES

The goal was to explore utilization of ambulatory health care resources concerning a multimodal therapy approach in the first year of CLBP and determine user types.

MATERIALS AND METHODS

A two-step cluster analysis was executed with administrative data of 11,182 incident cases. The age was between 18 and 65 years and data of four consecutively quarters per patient were analyzed. With the administrative data from orthopedics, pain therapy, psychotherapy, exercise therapy, analgesics and opioids, clusters were determined. Further results were provided by variables of patients and the structure of care.

RESULTS

The analysis reveals four user types: 39.7% used no specialist care and less exercise therapy; 37.3% used orthopedics; 15.6% used orthopedics and pain therapy; and 7.4% used orthopedics, pain therapy and/or psychotherapy. Characteristics for multimodal utilization were the following: female, high use of analgesics (m = 143.94 DDD), high use of opioids (m = 37.12 DDD), high costs of exercise therapy (m = 631.79 €), acupuncture, antidepressants, hospitalization, interdisciplinary case conference, and consult neurologists. In all, 60.4% of the study population received analgesics.

CONCLUSIONS

The cluster analysis indicated differential user types. Approximately 23% of the study population receives the recommended multimodal therapy.

Testing the Pragmatic Effectiveness of a Consumer-Based Mindfulness Mobile App in the Workplace: Randomized Controlled Trial

BACKGROUND

Mental health and sleep problems are prevalent in the workforce, corresponding to costly impairment in productivity and increased health care use. Digital mindfulness interventions are efficacious in improving sleep and mental health in the workplace; however, evidence supporting their pragmatic utility, potential for improving productivity, and ability to reduce employer costs is limited.

OBJECTIVE

This pragmatic, cluster randomized controlled trial aimed to evaluate the experimental effects of implementing a commercially available mindfulness app-Calm-in employees of a large, multisite employer in the United States. Outcomes included mental health (depression, anxiety, and stress), sleep (insomnia and daytime sleepiness), resilience, productivity impairment (absenteeism, presenteeism, overall work impairment, and non-work activity impairment), and health care use (medical visit frequency).

METHODS

Employees were randomized at the work site to receive either the Calm app intervention or waitlist control. Participants in the Calm intervention group were instructed to use the Calm app for 10 minutes per day for 8 weeks; individuals with elevated baseline insomnia symptoms could opt-in to 6 weeks of sleep coaching. All outcomes were assessed every 2 weeks, with the exception of medical visits (weeks 4 and 8 only). Effects of the Calm intervention on outcomes were evaluated via mixed effects modeling, controlling for relevant baseline characteristics, with fixed effects of the intervention on outcomes assessed at weeks 2, 4, 6, and 8. Models were analyzed via complete-case and intent-to-treat analyses.

RESULTS

A total of 1029 employees enrolled (n=585 in the Calm intervention group, including 101 who opted-in to sleep coaching, and n=444 in waitlist control). Of them, 192 (n=88 for the Calm intervention group and n=104 for waitlist) completed all 5 assessments. In the complete-case analysis at week 8, employees at sites randomized to the Calm intervention group experienced significant improvements in depression (P=.02), anxiety (P=.01), stress (P<.001), insomnia (P<.001), sleepiness (P<.001), resilience (P=.02), presenteeism (P=.01), overall work impairment (P=.004), and nonwork impairment (P<.001), and reduced medical care visit frequency (P<.001) and productivity impairment costs (P=.01), relative to the waitlist control. In the intent-to-treat analysis at week 8, significant benefits of the intervention were observed for depression (P=.046), anxiety (P=.01), insomnia (P<.001), sleepiness (P<.001), nonwork impairment (P=.04), and medical visit frequency (P<.001).

CONCLUSIONS

The results suggest that the Calm app is an effective workplace intervention for improving mental health, sleep, resilience, and productivity and for reducing medical visits and costs owing to work impairment. Future studies should identify optimal implementation strategies that maximize employee uptake and large-scale implementation success across diverse, geographically dispersed employers.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05120310; https://clinicaltrials.gov/ct2/show/NCT05120310.

Influence of Effort-based Reward Training on Neuroadaptive Cognitive Responses: Implications for Preclinical Behavioral Approaches for Depressive Symptoms

Despite the presence of multiple pharmacotherapeutic options, incidence rates for depressive disorders continue to rise. Nonpharmacological approaches (e.g., cognitive and behavioral therapies) exhibit encouraging efficacy rates; however, a lack of preclinical models has prevented progress in the identification of relevant neurobiological mechanisms of these approaches. Accordingly, the effort-based reward (EBR) preclinical model exposes rats to response-outcome (R-O) contingencies and provides an opportunity to investigate behavioral clinical approaches. In the current study, male and female rats were assigned to either an EBR contingent- or noncontingent-trained group and exposed to 7 weeks of training. Neuroadaptive cognitive responses were assessed in a cognitive uncertainty task (UT) and an object pattern separation task (OPST). Although no significant effects of EBR were observed in the UT, EBR contingent-trained rats approached the novel panel in the most difficult trial of the OPST faster than the noncontingent-trained group. Additionally, female EBR contingent-trained rats exhibited increased engagement with the novel stimulus panel across all trials. Examination of brain-derived neurotrophic factor (BDNF) in the lateral habenula (LHb), a putative neurobiological target for depressive symptoms, revealed lower BDNF immunoreactivity in EBR contingent-trained rats. Females in both training groups exhibited higher dehydroepiandrosterone/cortisol (DHEA/CORT) ratios, suggesting, along with the increased engagement with novel stimulus panels, that female rats may be more responsive to EBR contingency training than males. Together, these results suggest that EBR contingency training offers promise as a preclinical rat model for behavioral therapeutic interventions for depressive symptoms leading to a clearer understanding of putative neurobiological mechanisms.

Maternal depression and adolescent optimism

The life course perspective posits that parents' and children's lives are linked through shared experiences and interdependent contexts such as the household. In this paper, we draw on the life course perspective to examine the relationship between maternal depression and adolescent optimism, an important trait that reflects adolescents' positive expectations for the future, and how features of the family context explain this association. We use data from the Fragile Families and Child Wellbeing Study (N = 3013), taking advantage of the study's longitudinal measures of maternal depression that span a 15-year period. First, we find that current maternal depression is negatively associated with optimism among adolescents. Second, we find that the family environment and parent-child relationships, but not economic wellbeing, explain the association between maternal depression and adolescent optimism. These findings inform our understanding of how parent and adolescent wellbeing are linked and, importantly, how the family environment conditions how adolescents envision their futures.

Changes in treatment outcomes in patients undergoing an integrated psychosomatic inpatient treatment: Results from a cohort study

Objective

In Germany, multimodal psychosomatic inpatient treatment can be initiated for patients with substantial mental disorders (e.g., depression, anxiety, somatoform disorders) and comorbid physical disease. However, studies investigating changes in psychological and functional treatment outcomes, and predictors of long-term treatment effects in patients undergoing psychosomatic inpatient treatment are needed.

Methods

This cohort study analyzed 160 patients aged ≥18 who were treated on an integrated psychosomatic inpatient unit at the University of Göttingen Medical Center. Its aim was to analyze changes in psychological and functional outcomes, and to identify predictors of long-term improvements in health-related quality of life (HRQoL) in patients with comorbid mental and physical illness who were undergoing integrated inpatient psychosomatic treatment. Assessments were completed at admission, discharge, and 12- or 24-month follow-up. Outcomes included physical complaints [Giessen Subjective Complaints List (GBB-24)], psychological symptoms [Brief Symptom Inventory (BSI)], and HRQoL [European Quality of Life Questionnaire (EQ-5D)].

Results

One-hundred sixty inpatients were included (mean age = 53.1 ± 12.6; 53.8% female). There were significant, medium- to large-sized improvements in psychological symptoms (BSI-Global Severity Index; d = -0.83, p < 0.001), physical symptom burden (d = -0.94, p < 0.001), and HRQoL (d = 0.65, p < 0.001) from admission to discharge, and significant, small- to medium-sized greater improvements in all psychological outcomes from admission to follow-up (BSI-GSI: d = -0.54, p < 0.001; GBB-24 total symptom burden: d = -0.39, p < 0.001; EQ-5D: d = 0.52, p < 0.001). Furthermore, better improvement in HRQoL during hospitalization (partial η2 = 0.386; p < 0.001) was associated with higher HRQoL at follow-up. Finally, intake of antidepressant at discharge was associated with impaired HRQoL at follow-up (η2 = 0.053; p = 0.03).

Conclusion

There were significant short- and long-term improvements in psychological symptoms, physical complaints, and HRQoL after treatment on an integrated psychosomatic inpatient unit in patients with mental disorders and a comorbid physical disease.

Epidemiology of treatment resistant depression among major depressive disorder patients in Israel

INTRODUCTION

Major depressive disorder (MDD) is one of the most common mental disorders worldwide, estimated to affect 10-15% of the population per year. Treatment resistant depression (TRD) is estimated to affect a third of these patients who show difficulties in social and occupational function, decline of physical health, suicidal thoughts and increased health care utilization. We describe the prevalence of MDD, TRD and associated healthcare resource utilization in Maccabi Healthcare Services (MHS), a 2.5 million-member state-mandated health service in Israel.

METHODS

All MHS members with an MDD diagnosis were identified within the years 2017-2018 and prevalence assessed by age, sex and TRD. To assess the incidence of MDD, members aged 18-65 years at the start of any MDD episode were identified between 1^st January 2016 and 31^st May 2018 with at least one systemic first-line antidepressant treatment within three months before or after the initial episode. Treatment patterns, time on first-line treatment, and healthcare resource utilization were compared by TRD.

RESULTS

A total of 4960 eligible MDD patients were identified (median age = 51 years, 65% female), representing a period prevalence of 0.218%, and of those, a high proportion of patients received drug treatment (92%). Among incident MDD cases (n = 2553), 24.4% had TRD. Factors associated with TRD included increasing age and personality disorder. Median time on treatment was 3.7 months (longer for those without TRD than those with) and 81.9% of patients purchased more than one month's supply of therapy. In the year after index, patients with TRD had a significant increased number of visits to primary care physicians, psychiatrists, emergency room visits, general hospitalizations, and psychiatric hospitalizations.

CONCLUSION

Our study shows that prevalence of MDD in Israel is low compared to other countries, however once diagnosed, patients' are likely to receive drug treatment. Among patients diagnosed with MDD, the proportion of TRD is similar to other countries, increases with age and is associated with increased healthcare utilization, therefore should be a focus of continued research for finding effective long term treatment options.

Prospective bidirectional associations between depression and chronic kidney diseases

Previous studies had reported the mutual relation between depression and chronic kidney diseases (CKD). This study aimed to investigate potential bidirectional relationships between depression and CKD. Participants more than 45 years from the China Health and Retirement Longitudinal Study (CHARLS) were included in present study. In study I, we tended to assess the association between baseline depression with the risk of subsequent CKD. In study II, we aimed to examine whether the onset of CKD could predict the development of depression. Multivariate logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) in study I and study II, respectively. In study I, 301 (6.16%) respondents experienced CKD in participants without depression, and 233 (8.48%) respondents experienced CKD in participants with depression. Participants with depression had higher risk of developing CKD with the corresponding ORs (95% CIs) was 1.38(1.08-1.76). In study II, 1333 (22.29%) subjects in the non-CKD group and 97 (27.17%) in CKD group developed depressive symptoms. Individuals with CKD had higher risk of developing depression than those without CKD, with the multivariate ORs (95% CIs) was 1.48(1.23-1.78). Significant bidirectional relationships remained in both sensitivity and subgroup analyses. Findings demonstrate bidirectional relationships between depression and CKD. Individuals with depression were associated with increasing risk of CKD; in addition, CKD patients had higher risk of developing depression.

Prostate Cancer Eligible for Radical Prostatectomy: Self-Esteem of Patients and Forms of Coping with Stress

The purpose of this study was to analyze the strategies and styles of coping with stress and self-esteem in patients diagnosed with prostate cancer. One hundred and five patients with prostate cancer participated in the study. Coping strategies were assessed with the Mini-Cope questionnaire, coping styles were assessed with the Coping Inventory for Stressful Situations, and self-esteem was assessed with the Rosenberg Self-Esteem Scale. Patients’ self-esteem and stress coping styles and strategies were analyzed using a Pearson correlation analysis. A stepwise linear regression analysis was performed to determine the predictors of self-esteem. The self-esteem level was positively related to the task-focused style (r = 0.228) and negatively related to the emotion-focused style (r = −0.329). The self-esteem level was significantly positively related to the strategies of active coping (r = 0.358), planning (r = 0.355), and seeking emotional support (r = 0.319) and was negatively related to self-blaming (r = −0.448) and to substance use (r = −0.301). The predictors of self-esteem level were: the strategies of self-blaming, planning, and the support-seeking dimension (F(3, 95) = 17.65; p < 0.001), explaining 33.8% of the variability in subjects’ self-esteem level. The moderating effect of age occurred in patients up to 65 years; it was statistically insignificant in patients older than 65 years. Replacement of the self-blame strategy and the emotion-focused style may lead to higher self-esteem of patients. The level of self-esteem can predict the strategies of self-blaming, planning, and the dimension of seeking support. For patients up to 65 years, psychological support should include reinforcement of adaptive forms of coping.

Nature and Extent of Physical Comorbidities Among Korean Patients With Mental Illnesses: Pairwise and Network Analysis Based on Health Insurance Claims Data

OBJECTIVE

The nature of physical comorbidities in patients with mental illness may differ according to diagnosis and personal characteristics. We investigated this complexity by conventional logistic regression and network analysis.

METHODS

A health insurance claims data in Korea was analyzed. For every combination of psychiatric and physical diagnoses, odds ratios were calculated adjusting age and sex. From the patient-diagnosis data, a network of diagnoses was constructed using Jaccard coefficient as the index of comorbidity.

RESULTS

In 1,017,024 individuals, 77,447 (7.6%) were diagnosed with mental illnesses. The number of physical diagnoses among them was 11.2, which was 1.6 times higher than non-psychiatric groups. The most noticeable associations were 1) neurotic illnesses with gastrointestinal/pain disorders and 2) dementia with fracture, Parkinson's disease, and cerebrovascular accidents. Unexpectedly, the diagnosis of metabolic syndrome was only scarcely found in patients with severe mental illnesses (SMIs). However, implicit associations between metabolic syndrome and SMIs were suggested in comorbidity networks.

CONCLUSION

Physical comorbidities in patients with mental illnesses were more extensive than those with other disease categories. However, the result raised questions as to whether the medical resources were being diverted to less serious conditions than more urgent conditions in patients with SMIs.

Reducing Readmission of Hospitalized Patients With Depressive Symptoms: A Randomized Trial

PURPOSE

To determine if hospitalized patients with depressive symptoms will benefit from post-discharge depression treatment with care transition support.

METHODS

This is a randomized controlled trial of hospitalized patients with patient health questionnaire-9 score of 10 or more. We delivered the Re-Engineered Discharge (RED) and randomized participants to groups receiving RED-only or RED for Depression (RED-D), a 12-week post-discharge telehealth intervention including cognitive behavioral therapy, self-management support, and patient navigation. Primary outcomes were hospital readmission and reutilization rates at 30 and 90 days post discharge.

RESULTS

We randomized 709 participants (353 RED-D, 356 RED-only). At 90 days, 265 (75%) intervention participants had received at least 1 RED-D session (median 4). At 30 days, the intention-to-treat analysis showed no differences between RED-D vs RED-only in hospital readmission (9% vs 10%, incidence rate ratio [IRR] 0.92 [95% CI, 0.56-1.52]) or reutilization (27% vs 24%, IRR 1.14 [95% CI, 0.85-1.54]). The intention-to-treat analysis also showed no differences at 90 days in readmission (28% vs 21%, IRR 1.30 [95% CI, 0.95-1.78]) or reutilization (70% vs 57%, IRR 1.22 [95% CI, 1.01-1.49]). In the as-treated analysis, each additional RED-D session was associated with a decrease in 30- and 90-day readmissions. At 30 days, among 104 participants receiving 3 or more sessions, there were fewer readmissions (3% vs 10%, IRR 0.30 [95% CI, 0.07-0.84]) compared with the control group. At 90 days, among 109 participants receiving 6 or more sessions, there were fewer readmissions (11% vs 21%, IRR 0.52 [95% CI, 0.27-0.92]). Intention-to-treat analysis showed no differences between study groups on secondary outcomes.

CONCLUSIONS

Care transition support and post-discharge depression treatment can reduce unplanned hospital use with sufficient uptake of the RED-D intervention.

A Narrative Review of the Effects of Citrus Peels and Extracts on Human Brain Health and Metabolism

As life expectancy increases, age-associated diseases such as Alzheimer's disease (AD) become a major health problem. The onset of AD involves neurological dysfunction due to amyloid-β accumulation, tau hyperphosphorylation, oxidative stress, and neuroinflammation in the brain. In addition, lifestyle-related diseases-such as dyslipidemia, diabetes, obesity, and vascular dysfunction-increase the risk of developing dementia. The world population ages, prompting the development of new strategies to maintain brain health and prevent the onset of dementia in older and preclinical patients. Citrus fruits are abundant polymethoxylated flavone and flavanone sources. Preclinical studies reported that these compounds have neuroprotective effects in models of dementia such as AD. Interestingly, clinical and epidemiological studies appear to support preclinical evidence and show improved cognitive function and reduced associated disease risk in healthy individuals and/or patients. This review summarizes the recent evidence of the beneficial effects of citrus peels and extracts on human cognition and related functions.

The Association between Vision Impairment and Depression: A Systematic Review of Population-Based Studies

We conducted a systematic review and meta-analysis to investigate whether depression is associated with vision impairment (VI) in population-based studies in adults. MEDLINE and EMBASE were searched, from inception to June 2020. Studies were included if they provided two-by-two data for calculating the OR of association between VI and depression, or crude and/or an adjusted odds ratio (OR) with a corresponding 95% confidence interval (CI) were reported. The proportion of VI and depression was also extracted. ORs were pooled using random-effect models, proportions were pooled using random intercepts logistic regression models. Overall, 29 articles (31 studies) were included: of those, 18 studies used survey data (622,312 participants), 10 used clinical examination data (69,178 participants), and 3 used administrative databases (48,162,290 participants). The proportion of depression (95%CI) was 0.17 (0.13-0.22) overall and 0.27 (0.21-0.33) in VI subjects. The proportion of VI was 0.10 (0.07-0.16) overall and 0.20 (0.13-0.29) in depressed subjects. The association between VI and depression was direct: crude ORs were 1.89 (1.51-2.37) for survey data, 2.17 (1.76-2.67) for clinical examination data, and 3.34 (1.01-11.11) for administrative databases; adjusted ORs were 1.75 (1.34-2.30), 1.59 (1.22-1.96), and 2.47 (0.97-6.33), respectively. In conclusion, VI and depression are prevalent morbidities and should be actively sought when either is identified, especially in older adults.

Antidepressants and health-related quality of life (HRQoL) for patients with depression: Analysis of the medical expenditure panel survey from the United States

Background

Despite the empirical literature demonstrating the efficacy of antidepressant medications for treatment of depression disorder, these medications’ effect on patients’ overall well-being and health-related quality of life (HRQoL) remains controversial. This study investigates the effect of antidepressant medication use on patient-reported HRQoL for patients who have depression.

Methods

A comparative cohort, secondary database analysis was conducted using data from the United States’ Medical Expenditures Panel Survey for patients who had depression. HRQoL was measured using the SF-12 and reported as physical and mental component summaries (PCS and MCS). A cohort of patients that used antidepressant medications were compared to a cohort of patients that did not. Univariate and multivariate difference-in-differences (D-I-D) analyses were used to assess the significance of the mean difference of change on the PCS and MCS from baseline to follow-up.

Results

On average, 17.5 million adults were diagnosed with depression disorder each year during the period 2005–2016. The majority were female (67.9%), a larger proportion of whom received antidepressant medications (60.5% vs. 51.5% of males). Although use of antidepressants was associated with some improvement on the MCS, D-I-D univariate analysis revealed no significant difference between the two cohorts in PCS (–0.35 vs. –0.34, p = 0.9595) or MCS (1.28 vs. 1.13, p = 0.6405). The multivariate D-I-D analyses ensured the robustness of these results.

Conclusion

The real-world effect of using antidepressant medications does not continue to improve patients’ HRQoL over time. Future studies should not only focus on the short-term effect of pharmacotherapy, it should rather investigate the long-term impact of pharmacological and non-pharmacological interventions on these patients’ HRQoL.

Bidirectional association between depression and multimorbidity in middle-aged and elderly Chinese adults: a longitudinal cohort study

BACKGROUND

Few studies have investigated the bidirectional association between depression and multimorbidity from a longitudinal perspective. We aimed to explore the bidirectional relationship between depression and multimorbidity in a middle-aged and elderly Chinese population.

METHODS

Participants aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depression was measured with a 10-item version of the Center for Epidemiological Studies Depression Scale (CESD-10). In stage I, we assessed the association of baseline depression with follow-up multimorbidity. In stage II, we examined whether multimorbidity increases the risk of depression. Logistic regression models were used to estimate the odds ratios (ORs) and confidence intervals (CIs). The ORs were then converted to risk ratios (RRs) using a proposed formula.

RESULTS

A total of 7056 subjects without multimorbidity and 7587 subjects without depression at baseline were included in stage I and stage II. In stage I, the adjusted RRs (95% CIs) of depressed participants developing one disease, two diseases, three diseases, and ≥4 diseases were 1.15 (0.96-1.35), 1.64 (1.36-1.99), 1.84 (1.44-2.35) and 2.42 (1.75-3.34), respectively. In stage II, compared with individuals without any disease, the adjusted RRs (95% CIs) of developing depression for individuals carrying one disease, two diseases, three diseases, and ≥4 diseases were 1.08 (0.96-1.22), 1.39 (1.22-1.57), 1.46 (1.23-1.70) and 1.62 (1.34-1.93), respectively.

CONCLUSIONS

Baseline depression increases the risk of future multimorbidity, and multimorbidity also contributes to an increased risk of incident depression in middle-aged and elderly Chinese adults.

Patterns of cardiometabolic multimorbidity and the risk of depressive symptoms in a longitudinal cohort of middle-aged and older Chinese

BACKGROUND

Cardiometabolic diseases (CMDs) are associated with depression. However, it is unclear whether coexisting CMDs may increase the risk of depression. We examined associations between cardiometabolic multimorbidity and depressive symptoms among middle-aged and older Chinese.

METHODS

Participants aged ≥45 years were enrolled from the China Health and Retirement Longitudinal Study 2011-2018 (N = 18,002). Cardiometabolic multimorbidity was defined as the coexistence of ≥2 CMDs, including stroke, heart disease, diabetes, hypertension, and dyslipidemia. Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale. We used generalized estimating equation models to examine associations between cardiometabolic multimorbidity and depressive symptoms, including the dose effect of disease count and prevalent disease combinations, as well as individual and additive effects of specific CMDs.

RESULTS

The prevalence of cardiometabolic multimorbidity was 24.5%. A higher number of CMDs had an additive dose effect on depressive symptoms that persisted consistently in specific CMDs. Stroke only, heart disease only, and diabetes only were each associated with a higher risk of depressive symptoms compared with no CMDs. CMD combinations involving stroke, heart disease, or diabetes were each associated with an increased risk of depressive symptoms compared with the absence of stroke, heart disease, or diabetes.

LIMITATION

Self-reported chronic conditions.

CONCLUSION

Stroke, heart disease, and diabetes showed individual and additive effects on CMD combinations, whereas hypertension and dyslipidemia only showed associations with depressive symptoms in combinations with other CMDs. These results suggest person-centered healthcare of mental health prevention and treatment for middle-aged and older adults with individual or multiple CMDs.

Anxiety and Depression among Hypertensive Adults in Tertiary Care Hospitals of Nepal

Introduction

Cooccurrence of hypertension and depression/anxiety increases the chance of cardiovascular mortality and morbidity. Therefore, this study is aimed at assessing the prevalence of anxiety and depression and their association with hypertension among hypertensive adults in a tertiary care hospital in Kathmandu, Nepal.

Methods

A descriptive cross-sectional study was conducted using a semistructured self-administered questionnaire based on Hamilton Anxiety and Hamilton Depression Rating Scale. The data was entered in EPI Data and analyzed using descriptive and inferential statistics in SPSS version 22. P value < 0.05 was considered statistically significant.

Results

A total of 260 individuals participated in the study, with a mean age of 42.6 years. About 46% of patients did not have any symptoms of depressed mood, and 73 (28.1%) of the participants experienced feelings of depressed mood only on questioning. Similarly, (151) 58.1% did not have feelings of guilt, and 48 (18.5%) participants who had the feeling of guilt had let people down. Among 260 respondents, most participants ((102) 39.2%) had mild symptoms of anxious mood, followed by (86) 33.1% participants with moderate symptoms. Only (4) 1.5% of participants had severe symptoms. Similarly, the majority of participants ((114) 43.8%) had a mild form of mental and emotional strain, followed by (72) 27.7% with moderate mental and emotional strain while (43) 16.5% had no mental and emotional strain. The occupation and marital status of the hypertensive individual was associated with anxiety and depression (P = ≤0.01).

Conclusion

In conclusion, anxiety and depression were common among patients with hypertension. Anxiety and depression were linked to some of the patients' sociodemographic and clinical features. This study demonstrates that treating hypertension alone is not enough to improve patients' quality of life; mental illness screening among chronically ill individuals is also required.

Depressive Symptoms at Kidney Transplant Evaluation and Access to the Kidney Transplant Waitlist

Introduction

Depressive symptoms, even without a clinical diagnosis of depression, are common in kidney failure patients and may be a barrier to completing the complex process of kidney transplant (KT) evaluation. We assessed depressive symptom burden and association between depressive symptoms and access to KT waitlist by age.

Methods

In a prospective cohort of 3728 KT patients (aged 18–88 years), the Center for Epidemiologic Studies—Depression (CES-D) scale was used to measure depressive symptoms at evaluation. Depressive symptom severity was defined as follows: none: 0; minimal: 1 to 15; mild: 16 to 20; moderate: 21 to 25; severe: 26 to 60. Hazard ratios (HRs) of active listing within 1 year after evaluation were estimated using Cox proportional hazards models, adjusted for clinical and social factors.

Results

At evaluation, 85.8% of the patients reported at least minimal depressive symptoms; the proportion was lower among older patients: 18 to 29 years = 92.0%; 30 to 39 years = 88.3%; 40 to 49 years = 87.2%; 50 to 59 years = 87.0%; 60 to 69 years = 83.4%; and ≥70 years = 82.0%. Chance of active listing decreased with more severe depressive symptoms (log-rank, P < 0.001). After adjustment, every 5-point higher CES-D score (more depressive symptoms) was associated with a 13% lower chance of listing (HR = 0.87, 95% CI: 0.85–0.90); the strongest association was found among patients aged ≥70 years (adjusted HR [aHR] = 0.73, 95% CI: 0.62–0.86). Furthermore, minimal (HR = 0.69, 95% CI: 0.60–0.79), mild (HR = 0.57, 95% CI: 0.44–0.72), moderate (HR = 0.53, 95% CI: 0.39–0.71), and severe (HR = 0.44, 95% CI: 0.34–0.57) depressive symptoms were all associated with a lower chance of listing.

Conclusion

Older candidates were less likely to report depressive symptoms at KT evaluation. Regardless of age, candidates who did report depressive symptoms, and even minimal symptoms, had a lower chance of listing. Transplant centers should routinely screen patients for depressive symptoms and refer the affected patients to mental health services to improve access to KT.

Trends in and complications associated with mental health condition diagnoses during delivery hospitalizations

BACKGROUND

Mental health conditions during delivery hospitalizations are not well characterized.

OBJECTIVE

This study aimed to characterize the prevalence of maternal mental health condition diagnoses and associated risk during delivery hospitalizations in the United States.

STUDY DESIGN

The 2000 to 2018 National Inpatient Sample was used for this repeated cross-sectional analysis. Delivery hospitalizations of women aged 15 to 54 years with and without mental health condition diagnoses, including depressive disorder, anxiety disorder, bipolar spectrum disorder, and schizophrenia spectrum disorder, were identified. Temporal trends in mental health condition diagnoses during delivery hospitalizations were determined using the National Cancer Institute's Joinpoint Regression Program to estimate the average annual percent change with 95% confidence intervals. The trends in chronic conditions associated with mental health condition diagnoses, including asthma, pregestational diabetes mellitus, chronic hypertension, obesity, and substance use, were analyzed. The association between mental health conditions and the following adverse outcomes was determined: (1) severe maternal morbidity, (2) preeclampsia or gestational hypertension, (3) preterm delivery, (4) postpartum hemorrhage, (5) cesarean delivery, and (6) maternal mortality. Regression models for each outcome were performed with unadjusted and adjusted risk ratios as measures of effects.

RESULTS

Of 73,109,791 delivery hospitalizations, 2,316,963 (3.2%) had ≥1 associated mental health condition diagnosis. The proportion of delivery hospitalizations with a mental health condition increased from 0.6% in 2000 to 7.3% in 2018 (average annual percent change, 11.4%; 95% confidence interval, 10.3%-12.6%). Among deliveries in women with a mental health condition diagnosis, chronic health conditions, including asthma, pregestational diabetes mellitus, chronic hypertension, obesity, and substance use, increased from 14.9% in 2000 to 38.5% in 2018. Deliveries to women with a mental health condition diagnosis were associated with severe maternal morbidity (risk ratio, 1.88; 95% confidence interval, 1.86-1.90), preeclampsia and gestational hypertension (risk ratio, 1.59; 95% confidence interval, 1.58-1.60), preterm delivery (risk ratio, 1.35; 95% confidence interval, 1.35-1.36), postpartum hemorrhage (risk ratio, 1.37; 95% confidence interval, 1.36-1.38), cesarean delivery (risk ratio, 1.20; 95% confidence interval, 1.20-1.20), and maternal death (risk ratio, 1.31; 95% confidence interval, 1.12-1.56). The increased risk was retained in adjusted models.

CONCLUSION

The proportion of delivery hospitalizations with mental health condition diagnoses increased significantly throughout the study period. Mental health condition diagnoses were associated with other underlying chronic health conditions and a modestly increased risk of a range of adverse outcomes. The findings suggested that mental health conditions are an important risk factor in adverse maternal outcomes.

The role of care-giver and mental health for older adults with disabilities: a mixed-method study

Because of the exacerbation of population ageing, more family members are involved in the informal care-giving for older adults with disabilities to cater to their long-term care needs. As informal care-givers are associated with the mental health of the care recipient, this study, based on the theoretical framework of the Actor–Partner Effect, utilises a mixed method composed of quantitative and qualitative strategies to identify the relationship among gender and type of both care-giver and care recipient, and mental health of the recipient and explain its internal mechanism. In the quantitative research, ordinary least squares (OLS) regression results based on the basis of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) data corroborate the existence of actor and partner effects within the care-giving dyad. The qualitative analysis further explains the socially constructed differences in gender role, trust relationship and perception towards filial piety of adult care-givers playing their role in the emergence of the Actor–Partner Effect. Finally, this study proposes a developed Actor–Partner Effect analysis framework, advocating to destigmatise disability and construct social support networks for the older adults with disabilities who receive informal care to promote their mental health based on the reflection of socially constructed gender difference.