Relation between depression and sociodemographic factors

Sociodemographic Factors, Health-Risk Behaviors, and Chronic Conditions Are Associated with a High Prevalence of Depressive Symptoms: Findings from the Indonesian Family Life Survey-5

Depression is a significant public health challenge. However, limited research exists regarding the risk of sociodemographic factors, health-risk behavior, and chronic conditions in relation to the development of depression in Indonesia. This study assesses the prevalence of depressive symptoms in adolescents and adults, and identifies its potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions. A national cross-sectional population-based survey was performed, using the Indonesian Family Life Survey (IFLS-5), to assess depressive symptoms in respondents aged 15 years and older. Depression was evaluated using the Center for Epidemiologic Studies-Depression (CES-D) scale, and potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions were examined using logistic regression analysis. The study revealed a high prevalence of depressive symptoms, with the highest incidence observed in the age group of 25-34 years. Factors such as unmarried status, younger age, good physical activity, and having chronic conditions showed associations with depression. These findings have implications for developing public mental health strategies to reduce the prevalence of depression in Indonesia.

The impact of depressive and anxious symptoms on quality of life in adults on the autism spectrum

Quality of life (QoL) is lower in adults on the autism spectrum (AS) compared with typically developing (TD) adults. In this context, recent studies have examined the role of depression and anxiety in reducing QoL in AS adults. The aim of this study was to (1) replicate these findings of lower QoL and (2) assess the negative influence of depressive and anxious symptoms on QoL in an adult AS (N = 86) and TD (N = 87) German sample with a broad age range (18-70 years). For this, we used questionnaires that have been validated for the AS and TD population: the World Health Organization Quality of Life Brief Version, the Autism-Specific QoL items, and the Hospital Anxiety and Depression Scale. We replicated previous findings and extended them to autism-specific QoL. Our AS sample had lower QoL compared with the TD adults. However, depressive symptoms were the largest contributor to lower QoL in both samples, more so than group membership and anxious symptoms. We conclude that interventions to improve QoL in AS adults should specifically target depressive symptoms and for this, improvements to the diagnostic process and treatment of depression in AS are necessary.

Mild differences in the role of somatic symptoms in depression networks in pregnancy and postpartum: A comparison with women outside peripartum

Depression is one of the most prevalent mental ailments in pregnancy. Many authors have discussed the appropriateness of somatic symptoms for depression assessment in pregnancy and postpartum. However, no study has examined the role of somatic symptoms in networks of pregnant and postpartum women compared to women outside peripartum. Here, we show that somatic symptoms are essential to depression assessment during pregnancy and postpartum. We compared networks of the nine PHQ-9 items across pregnant women (n = 894, Mage = 29.29), women in postpartum (n = 586, Mage = 29.83) and women outside peripartum (n = 1029, Mage = 24.87). While three of the five somatic symptoms in PHQ-9 were more present in pregnant women than in those outside the peripartum, the three networks were highly similar regarding the position of the somatic symptoms and their relation to the emotional-cognitive symptoms. Most depression symptoms in pregnant women were predicted by other depression symptoms to a lesser extent than in postpartum and outside peripartum. Other external variables are therefore needed to explain these sensations in pregnancy. In addition to the incidence of somatic symptoms, practitioners should ask pregnant women about their attributions of these.

National trends in reported past year opioid misuse among black women

BACKGROUND

The opioid crisis within the United States has been widely studied; however, some gaps within the literature still exist. There is limited information on trends in opioid misuse as it relates to income among a national sample of Black Women. Given the recent increase in opioid overdose deaths in Black Americans and the vulnerability of women who misuse opioids, research in this population is important.

OBJECTIVE

The objective of this study is to evaluate trends of past year opioid misuse (PYOM) among Black women by income over the study period.

METHODS

A cross-sectional study among adult aged Black women captured in the National Survey on Drug Use and Health (NSDUH) from 2015 to 2019 was conducted. Descriptive statistics for all study variables was conducted. Weighted logistic regression analyses were conducted to evaluate predictors of PYOM. A stratified analysis was also conducted to examine possible differences between income strata on predictors of PYOM.

RESULTS

A total of 15,196 Black women were included in the study (16,008,921 weighted visits). Among the women included, 41.5% were age 50+, 57.7% were unemployed, 63.8% reported very good/good health, 59.5% had past year alcohol use, 44.1% had never been married, 39.1% received government assistance, and 90.1% resided in a metro area. An estimated 3.14% of Black women reported PYOM. Findings from the regression analysis showed that Black women who were between 18 and 25, had past year major depressive episode, had alcohol use, illicit drug use, and who received government assistance had significantly greater odds of PYOM. Those reporting an excellent general health rating and higher education had significantly lower odds of PYOM. Income was not associated with PYOM in this study.

CONCLUSION

Overall, income was not found to be a significant predictor of PYOM. However, income was found to modify the effects of major depressive episode and alcohol use on PYOM, especially among Black women who reported earning ≥$75,000/year. These findings suggest that high-earning Black women may be just as at risk for opioid misuse as low-earning Black women. Further studies are warranted to explore these effects among other gender/racial groups to determine if this trend is unique to Black women.

Comparison of Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with health subjects: a case-control study

Background

Diseases and disorders related to mental health are spreading like other chronic diseases all around the world. Considering the role of food in the prevention and treatment of these disorders, including major depression, investigating the relationship between different food patterns and this disorder is of particular importance. The aim of this study was to compare Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with healthy individuals.

Methods

In this case-control study, the final analysis was performed on 67 men and 111 women with an age range of 20-30 years. Height (cm), weight (kg), food frequency questionnaire (FFQ), physical activity (MET-min/week), demographic and PHQ-9 questionnaires were taken from all participants. In the following, all the food ingredients and their components were extracted and used to calculate HEI-2015 and DHD. Statistical analysis was performed using SPSS software with independent t-test, logistic regression and chi-square.

Results

It was found that people with major depression in this study were mostly women and occupied. The average HEI-2015 in healthy people and those with major depression was 58 and 54.3, respectively. Also, the average DHD in these people was 60.5 and 55, respectively. HEI-2015 and DHD had a significant negative correlation with depression score (r = -0.16, p-value = 0.03) (r = -0.19, p-value = 0.01). Also, in the logistic regression model, before and even after adjusting confounders, HEI-2015 and DHD had a reduced odds ratio in people suffering from major depression. The two groups did not differ significantly in terms of the average factors of height, weight and body mass index (BMI).

Conclusion

It seems that HEI2015 and DHD have a significant relationship in reducing major depression. However, due to the small number of studies in this regard, especially in the field of DHD, the need for more studies seems necessary.

Does categorizing scale scores with cutoff points affect hypothesis-testing results?

BACKGROUND

The aim of this study is to evaluate the hypothesis test results after categorizing the scale scores with cut-off points and to assess whether similar results would be obtained in that best represent the categories.

METHODS

This cross-sectional study was conducted between March 15 and 20, 2023 via the Lime Survey. The questionnaire included questions about the sociodemographic and life characteristics of the participants and the Beck Depression Inventory II (BDI-II). Four groups (minimal, mild, moderate, severe depression) were formed using the cutoff points. Data analysis was performed with all participants and referred to as the conventional analysis group. Then, six subanalysis groups were determined to best represent the groups formed according to the BDI-II. In each BDI-II category, six subanalysis groups were created, including those between Q1-Q3 (IQR group), including those within ± 1 std, including those between 5p-95p (90% of the sample), including those between 2.5p-97.5p (95% of the sample). In addition, 100 different samples were randomly selected containing 50% of each group.

RESULTS

Of the 1950 participants, 84.7% (n = 1652) were female and 15.3% (n = 298) were male. In terms of depression, it was observed that the significance varied in the analysis groups for sex (p = 0.039), medication use (p = 0.009) and age (p = 0.010) variables. However, these variables were not significant in some of the subanalysis groups. On the other hand, a p < 0.001 value was obtained for income, physical activity, health perception, body shape perception, life satisfaction, and quality of life variables in terms of depression in the conventional analysis group, and it was seen that the significance continued in all subanalysis groups.

CONCLUSIONS

Our findings showed that variables with p < 0.001 in the conventional analysis group maintained their significance in the other analysis groups. In addition, as the p value got closer to 0.05, we observed that the significance changed according to different cutoff points in the analysis groups. In addition, 50% randomly selected samples support these results. At the end of our study, we reached results that support the necessity of secondary tests in the evaluation of scales. Although further studies are needed, we anticipate that our study will shed light on other studies.

The Intersectional Impact of Cost-Related Non-Adherence and Depression: A Cross-Sectional Analysis of the Canadian Community Health Survey by Sex, Race, and Indigeneity

We evaluated the relationship between cost-related non-adherence (CRNA) and depressive symptoms. Pooling data from the 2015, 2016, 2018, and 2019 annual Canadian Community Health Survey, we analyzed the relationship between CRNA and moderate to severe depressive symptoms, assessed by the Patient Health Questionnaire (PHQ-9). Among the sample, 4.9% experienced CRNA and 6.8% experienced moderate to severe depressive symptoms. Respondents who reported CRNA had 1.51 (95% confidence interval [CI], 1.51-1.52) greater odds of experiencing moderate to severe depressive symptoms. Stratified analysis by sex and race showed the association between CRNA and depressive symptoms was greatest among racialized males (aOR: 1.83, 95% CI: 1.81- 1.85). Stratified analysis by sex and Indigeneity showed this association was greatest for Indigenous males (aOR: 2.16, 95% CI: 2.10-2.22). Forgoing prescribed medications due to cost is associated with more severe depressive symptoms among Canadians, particularly racialized and Indigenous males.

An investigation into the relationship between community engagement and maternal mental health in Calgary, Alberta using the All Our Families cohort

INTRODUCTION

Existing literature shows that increased community engagement is associated with decreased depressive symptoms. To our knowledge, no existing studies have investigated the relationship between community engagement and adverse mental health among mothers in a Canadian context, nor has this relationship been studied over time. The current study aims to address these gaps by modelling the association between community engagement and anxiety and depression longitudinally using a cohort of prenatal and postnatal mothers living in Calgary, Alberta.

METHODS

We used data from the All our Families (AOF) study, a prospective cohort study of expectant and new mothers in Calgary, Alberta from 2008 to 2017 across seven timepoints. We used three-level latent growth curves to model the relationship between individual-level community engagement and maternal depression and anxiety scores, while adjusting for both individual and neighborhood-level characteristics.

RESULTS

The study sample consisted of 2129 mothers across 174 neighborhoods in Calgary. Adjusted latent growth curve models demonstrated that community engagement was associated with lower depression (b = - 0.28, 95% CI - 0.33, - 0.23) and anxiety (b = - 0.07, 95% CI - 0.12, - 0.02) scores among mothers over time.

DISCUSSION

Adjusted results show that community engagement has a protective effect against depression and anxiety amongst mothers. The results of this study are in line with existing evidence suggesting that social cohesion, civic participation, and community engagement are protective against adverse mental health outcomes.

Association of Depression, Comorbidities, and Sociodemographic Factors among Home Healthcare Recipients

OBJECTIVES

More than 15 million individuals receive home health care (HHC) for chronic conditions, which allows them to maintain a level of independence and self-sufficiency. Although poor mental health can negatively impact health outcomes, little research has been done on the mental health of these individuals.

METHODS

Utilizing National Health Interview Survey years 2019-2022, we ran a cross-sectional analysis to determine rates of depression among individuals who indicated that they utilized HHC services, based on their sociodemographic statuses and diagnosis, as well as their rate of depression by condition whether they utilized HHC services.

RESULTS

HHC recipients were significantly more likely to be depressed if they reported being female, age 55-64, low income, low educational attainment, American Indian/Alaskan Native, Hispanic, or lived in a rural area. HHC recipients were more likely to be depressed than their non-HHC recipient counterparts.

CONCLUSIONS

These results underscore the need for integrated mental health care in home health. Further, the financial burden of HHC, which may have an additional impact on stress, emphasizes the need for expanded accessibility of these services.

CLINICAL IMPLICATIONS

General practitioners and home health professionals should inquire about mental health concerns of these care recipients, and treat or refer accordingly.

Systematic review of empiric studies on lockdowns, workplace closures, and other non-pharmaceutical interventions in non-healthcare workplaces during the initial year of the COVID-19 pandemic: benefits and selected unintended consequences

BACKGROUND

We conducted a systematic review aimed to evaluate the effects of non-pharmaceutical interventions within non-healthcare workplaces and community-level workplace closures and lockdowns on COVID-19 morbidity and mortality, selected mental disorders, and employment outcomes in workers or the general population.

METHODS

The inclusion criteria included randomized controlled trials and non-randomized studies of interventions. The exclusion criteria included modeling studies. Electronic searches were conducted using MEDLINE, Embase, and other databases from January 1, 2020, through May 11, 2021. Risk of bias was assessed using the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool. Meta-analysis and sign tests were performed.

RESULTS

A total of 60 observational studies met the inclusion criteria. There were 40 studies on COVID-19 outcomes, 15 on anxiety and depression symptoms, and five on unemployment and labor force participation. There was a paucity of studies on physical distancing, physical barriers, and symptom and temperature screening within workplaces. The sign test indicated that lockdown reduced COVID-19 incidence or case growth rate (23 studies, p < 0.001), reproduction number (11 studies, p < 0.001), and COVID-19 mortality or death growth rate (seven studies, p < 0.05) in the general population. Lockdown did not have any effect on anxiety symptoms (pooled standardized mean difference = -0.02, 95% CI: -0.06, 0.02). Lockdown had a small effect on increasing depression symptoms (pooled standardized mean difference = 0.16, 95% CI: 0.10, 0.21), but publication bias could account for the observed effect. Lockdown increased unemployment (pooled mean difference = 4.48 percentage points, 95% CI: 1.79, 7.17) and decreased labor force participation (pooled mean difference = -2.46 percentage points, 95% CI: -3.16, -1.77). The risk of bias for most of the studies on COVID-19 or employment outcomes was moderate or serious. The risk of bias for the studies on anxiety or depression symptoms was serious or critical.

CONCLUSIONS

Empiric studies indicated that lockdown reduced the impact of COVID-19, but that it had notable unwanted effects. There is a pronounced paucity of studies on the effect of interventions within still-open workplaces. It is important for countries that implement lockdown in future pandemics to consider strategies to mitigate these unintended consequences.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration # CRD42020182660.

Neighborhood safety perception and depressive symptoms in China: a moderated mediation relationship

PURPOSE

Despite rich data on neighborhood safety perception's role in shaping depressive symptoms, a comprehensive view of this dynamic interplay remains a frontier. This study seeks to unravel the intricate interplay of neighborhood safety perception and depressive symptoms, utilizing the lens of social safety theory.

METHODS

Employing the 2016 and 2020 waves of the China Family Panel Studies (CFPS), this study utilized ordered logistic regression (ologit) for statistical analysis. The approach encompassed descriptive analysis of variables, Spearman's correlation analyses to explore associations between variables, and a moderated mediation analysis. Sensitivity analyses were also conducted to affirm the robustness of findings against model assumptions and data processing techniques.

RESULTS

The study uncovered a significant negative correlation between neighborhood safety perception and depressive symptoms (Direct effect =  - 0.338, Z =  - 2.564, p = 0.010). A key finding was the steeper slope of the relationship between neighborhood safety perception and neighborhood relation perception among individuals with a higher perception of neighborhood environment quality. As neighborhood environment quality perception increases, the strength of the mediated negative impact on depressive symptoms intensifies (- 0.102 >  - 0.132 >  - 0.162).

CONCLUSION

This study offers a comprehensive moderated mediation model that establishes a novel connection between neighborhood safety perception and depressive symptoms. It integrates the complexities of social safety theory and social information processes, revealing key strategies such as enhancing perceived neighborhood environment quality and neighborhood relationship quality.

Discovery of depression-associated factors among childhood trauma victims from a large sample size: Using machine learning and network analysis

BACKGROUND

Experiences of childhood trauma (CT) would lead to serious mental problems, especially depression. Therefore, it becomes crucial to identify influential factors related to depression and explore their associations. The objectives were to 1) identify critical depression-related factors using the extreme gradient boosting (XGBoost) method from a large-scale survey data; 2) explore associations between these factors for targeted interventions and treatments.

METHODS

A large-scale epidemiological study covering 63 universities was conducted in Jilin Province, China. The XGBoost model was trained and tested to classify young adults with CT experiences who had or did not have depression (N = 27,671). The essential factors were selected by SHapley Additive exPlanations (SHAP) value. Multiple logistic regression analyses were conducted for validation. The associations between these depression-related factors were further explored using network analysis.

RESULTS

The XGBoost model selected the top 10 features associated with depression with satisfactory performance (AUC = 0.91; sensitivity = 0.88 and specificity = 0.76). These factors significantly differed between depression and non-depression groups (p < 0.001). There are strong positive associations between anxiety and obsessive-compulsive disorder (OCD), anxiety and post-traumatic stress disorder (PTSD), social anxiety disorder (SAD) and appearance anxiety, and negative associations between sleep quality and anxiety, sleep quality and PTSD among CT participants with depression.

LIMITATIONS

The cross-sectional design cannot draw causality, and biases in self-report measurements cannot be ignored.

CONCLUSIONS

XGBoost model and network analysis were useful methods for discovering and understanding depression-related factors in this epidemiological study. Moreover, these essential factors could offer insights into future interventions and treatments for depressed young adults with CT experiences.

Assessment of Depressive Symptoms and Sociodemographic Correlates of Adult Patients Attending a National Health Insurance Clinic at a Tertiary Hospital, Southwest Nigeria

Background

Depression affects individuals across all age groups, genders, and socio-economic backgrounds. Socio-demographic correlates of depression may include factors such as age, gender, education level, income, and marital status. These factors, including the presence of chronic diseases, have been shown to impact the prevalence and severity of depression. This study assessed the prevalence of depressive symptoms and its association with socio-demographic correlates and co-morbid chronic medical conditions among adult patients attending a National Health Insurance Clinic of a tertiary health facility in Southwest Nigeria.

Methodology

A hospital-based descriptive cross-sectional study was conducted between April - May 2023 in which 250 consenting adult patients were recruited using a systematic random sampling technique. Respondents' information on socio-demographic profiles and awareness of co-morbid medical conditions were assessed using semi-structured interviewer-administered questionnaires. Depressive symptoms were determined using the Patient Health Questionnaire. Data were analyzed using SPSS version 20. The strength of the association between independent and dependent variables was measured using chi-square and the p-value was set as <0.05.

Results

The mean age of respondents was 38.96±13.096 years (range: 18-80 years). There were 159 (63.6%) females. The prevalence of depressive symptoms was 44.8%. There was a statistically significant association between age, gender, marital status, monthly income, presence of chronic diseases, and depressive symptoms.

Conclusion

The prevalence of depressive symptoms among adult patients attending the National health insurance clinic was 44.8%. These findings call for health policies to integrate and strengthen mental health in NHIA primary care.

Prevalence of Depression Among Older Adults Visiting the Primary Healthcare Centers in Jizan City, Saudi Arabia: An Analytical Cross-Sectional Study

Background and objective Older adults are susceptible to various disorders, including depression. Depression manifests as a disorder characterized by a persistent depressed mood, feelings of sadness and loneliness, sleep disturbances, and loss of interest lasting for two weeks or more. This condition can significantly affect the quality of life for older adults, resulting in adverse outcomes that have a negative impact on their overall well-being. In this study, our objective was to assess the prevalence of depression and identify associated risk factors among individuals aged 60 years and above who attended Primary Healthcare Centers (PHCCs) in Jizan City. Methodology We conducted an analytical cross-sectional study among older people attending PHCCs in Jizan City between May and December 2022. In this study, we interviewed 300 participants using the Patient Health Questionnaire-9 (PHQ-9) to assess depression. IBM SPSS Statistics for Windows, Version 25.0 (IBM Corp., Armonk, NY) was used for data entry and analysis. We used the chi-square test and binary logistic regression model to detect the associations and predictors of depression among older adults. Results One-third of the study participants experienced depression, with 49 (16%) exhibiting mild depression, 33 (11%) reporting moderate depression, and 17 (6%) individuals indicating moderately severe depression. Depression was more common among females (158, 52.7%) than males (142, 47.3%). The predictors of depression among the study participants were the dependency to perform daily tasks and abnormal sleep duration. Conclusions Depression is a prevalent health problem among older people in Jizan City, particularly among females, those who are divorced or widowed, individuals dependent on others for daily tasks, and those with abnormal sleep duration. We conclude that we need more research on older adults to assess their mental problems and fill in the literature gap.

Associations of depression with hypertension and citizenship among U.S. adults: A cross-sectional study of the interactions of hypertension and citizenship

With the increasing prevalence of hypertension-related cardiovascular deaths and depression, this study examined the associations of depression with hypertension, citizenship status, and interaction of hypertension and citizenship status among U.S. adults. Data from the 2015-2018 National Health Interview Survey (NHIS), including 63,985 individuals, were analyzed. Depression status was the outcome, with hypertension and U.S. citizenship status as the main independent variables. Using odds ratio (OR) estimates, we evaluated the associations between hypertension and depression, and citizenship status. The result indicates that a higher proportion of U.S. adults with hypertension reported depression compared to those who did not have hypertension (42.9 % vs. 37.5 %). In terms of U.S. citizenship status, a higher proportion of U.S. citizens reported depression than non-citizens (39.6 % vs. 31.6 %). However, non-citizens with hypertension were more likely to report depression compared to U.S. citizens without hypertension (OR = 1.46; 95 % CI = 1.15, 1.86). While hypertension marginally increased the odds of depression among the general U.S. population, being a non-U.S. citizen with hypertension significantly increased the risk of depression by 46 %. The findings imply that the healthy immigrant paradox, in the context of hypertension-depression prevention and control, may not apply to non-citizens with hypertension. We therefore recommend community-based screenings and more tailored interventions to address these health disparities while taking into consideration the unique cultural norms, behaviors and healthcare barriers encountered by specific immigrant communities.

The higher the household income, the lower the possibility of depression and anxiety disorder: evidence from a bidirectional Mendelian randomization study

Objectives

Observational studies have demonstrated that household income is associated with morbidity of mental disorders. However, a causal relationship between the two factors remains unclear. Therefore, we investigated the causal relationship between household income status and genetic liability of mental disorders using a bidirectional Mendelian randomization (MR) study.

Methods

This MR study included a large cohort of the European population from publicly available genome-wide association study datasets. A random-effects inverse-variance weighting model was used as the main standard, with MR-Egger regression, weighted median, and maximum likelihood estimations performed concurrently as supplements. Sensitivity analysis, consisting of heterogeneity and horizontal pleiotropy tests, was performed using Cochran's Q test, MR-Egger intercept, and MR-PRESSO tests to ensure the reliability of the conclusions.

Results

A higher household income tended to be associated with a lower risk of genetic liability for depression (odds ratio [OR]: 0.655, 95% confidence interval [CI] = 0.522-0.822, p < 0.001) and anxiety disorder (OR: 0.666, 95% CI = 0.526-0.843, p < 0.001). No associations were observed for schizophrenia (OR: 0.678, 95% CI = 0.460-1.000, p = 0.05), panic disorder (OR: 0.837, 95% CI = 0.445-1.577, p = 0.583), insomnia (OR: 1.051, 95% CI = 0.556-1.986, p = 0.877), obsessive-compulsive disorder (OR: 1.421, 95% CI = 0.778-2.596, p = 0.252), and bipolar disorder (OR: 1.126, 95% CI = 0.757-1.677, p = 0.556). A reverse MR study showed no reverse causal relationship between psychiatric disorders and household income. Sensitivity analysis verified the reliability of the results.

Conclusion

Our results revealed that the population with a higher household income tended to have a minor risk of genetic liability in depression and anxiety disorders.

Aging alone and financial insecurity predict depression: a path analysis of objective and subjective indices

OBJECTIVES

This study draws on conservation of resources theory and transactional stress theory to guide our understanding of how social isolation, financial insecurity, and social support serve as a balance of both risk and protection for late-life depression.

METHODS

Data were from the Leave-Behind Questionnaire in the 2016 (N = 4293) and 2018 (N = 4714) waves of the Health and Retirement Study. We conducted a cross-sectional path analysis via structural equation modeling, including objective and subjective perspectives. The same model was tested in both samples.

RESULTS

Both social isolation and financial insecurity were associated with depression. We found several mediating risks and protective factors of these relationships. Objective financial status affected depression through both perceived financial insecurity and perceived social isolation, whereas objective isolation affected depression through perceived social support. This mediation model was -significant after adjusting for confounders.

CONCLUSION

This study underscores the importance of investigating the balance between risk and protection for depression, in the rising number of older adults aging alone in society. Findings suggest that objective and perceived measures offer unique windows into psychological constructs. Considering both objective and subjective perspectives may provide alternative targets for subsequent interventions to improve mental health in later life.

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

Background

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

Methods

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

Results

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

Conclusions

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

Racial Disparities in Mental Health Disorders in Youth with Chronic Medical Conditions

OBJECTIVE

To evaluate the association between race/ethnicity, poverty, and mental health in youth with chronic conditions.

STUDY DESIGN

A cross-sectional comparative study was performed using the records of a tertiary care center from 2011 to 2015.

INCLUSION CRITERIA

children aged 4-17 years with ≥1 hospitalization or emergency department visit. Exclusion criteria were those with arrhythmias or treatment with clonidine/benzodiazepines. The primary outcome variable was diagnosis or medication for anxiety, depression, or attention deficit hyperactivity disorder. The primary predictor variable was diagnosis of cystic fibrosis (CF), sickle cell disease (SCD), or congenital heart disease (CHD).

RESULTS

We identified 112 313 patients, 0.2% with CF, 0.4% with SCD, and 1.0% with CHD. Patients with CF had the highest prevalence (23%) and odds (OR, 4.21; 95% CI, 3.07-5.77) of anxiety or depression, whereas patients with SCD had the lowest prevalence (7%) and odds (OR, 1.54; 95% CI, 1.11-2.14). Those with CHD had a prevalence of up to 17%, with 3-4 times higher odds of anxiety or depression (OR, 3.70; 95% CI, 2.98-4.61). All non-White participants were less likely to be diagnosed or treated for anxiety or depression and attention deficit hyperactivity disorder. Although poverty increased the probability of anxiety or depression in patients with CHD, this finding was not seen in patients with CF or SCD.

CONCLUSIONS

Children with CF, SCD, and CHD are at increased risk of anxiety or depression; however non-White patients are likely being underdiagnosed and undertreated. Increased screening and recognition in minority children are needed to decrease disparities in mental health outcomes.

Relationship between Mediterranean diet and depression in South Korea: the Korea National Health and Nutrition Examination Survey

Background

Several studies have shown that adherence to the Mediterranean diet is associated with a lower risk of depression; however, little is known about the Asian population. This study investigated the relationship between adherence to the Mediterranean diet and depression in a sample of the South Korean population.

Methods

In total, 5,849 adults from the 2014 and 2016 Korea National Health and Nutrition Examination Surveys were included in the study. The Mediterranean diet adherence was measured using a modified alternate Mediterranean diet score (mMED) developed to adjust for Korean dietary patterns. The mMED scores using the Food Frequency Questionnaire were divided into four categories (0-2, 3-4, 5-6, and 7-9 points). Subjects with depression were defined as having moderate-to-severe depressive symptoms using the Patient Health Questionnaire-9, with a cutoff value of 10. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A subgroup analysis was performed based on sex.

Results

The results of logistic regression analysis indicated that individuals with higher mMED were 42-73% less likely to report depression compared to individuals with the lowest mMED [ORs (95% CIs) =0.58 (0.37-0.90), 0.50 (0.31-0.80), 0.27 (0.15-0.47)] after adjusting for socio-demographic and health-related variables. In women, individuals with mMED of 7-9 had 71% lower odds of depression [ORs (95% CIs): 0.29 (0.13-0.64)]. In men, individuals with mMED of 5-9 had 55% [ORs (95% CIs): 0.45 (0.23-0.91)] to 79% [ORs (95% CIs): 0.21 (0.08-0.57)] lower odds of depression.

Conclusion

This study suggests that adherence to the Mediterranean diet is inversely associated with depression in both men and women among Korean adults. This study provides evidence that a Mediterranean diet is crucial in preventing depressive symptoms in Asian populations.

Origins of spousal cross-concordance for psychiatric disorders: a test of the social stress theory for alcohol use disorder

BACKGROUND

The authors sought to clarify the impact of spousal psychiatric disorders of differing severity [major depression or anxiety disorders (DAD) v. bipolar disorder or nonaffective psychosis (BPN)] on proband risk for alcohol use disorder (AUD) during marriage.

METHODS

In a Swedish cohort (N = 744 628), associations between spousal DAD and BPN and proband AUD were estimated with Cox proportional hazards; associations between parental AUD, proband premarital AUD, and spousal lifetime DAD and BPN were estimated with logistic regression; and whether spousal DAD or BPN causally increased risk for AUD was evaluated with frailty models.

RESULTS

Spousal premarital DAD, spousal marital-onset DAD, and spousal BPN (premarital or marital-onset) were associated with proband AUD during marriage [hazard ratios (HR) range 1.44-3.72]. Those with a parental or premarital history of AUD (v. without) were more likely to marry a spouse with DAD or BPN (odds ratios 1.22-2.77). Moving from an unaffected first spouse to a DAD-affected second spouse increased AUD risk in males (HR 2.90). Moving from an unaffected first spouse to a BPN-affected second spouse increased AUD risk (HRmales 3.96; HRfemales 5.64). Moving to an unaffected second spouse from a DAD-affected first spouse decreased AUD risk, with stronger evidence in females compared to males (HRmales 0.59; HRfemales 0.28).

CONCLUSIONS

Associations between spousal DAD or BPN and proband AUD reflect both selection and causal effects. Marriage to a BPN-affected spouse has a particularly strong effect on AUD risk, with more modest effects for spousal DAD.

The association between preconception cannabis use and depression and anxiety during pregnancy

OBJECTIVE

Cannabis use among individuals of reproductive age has increased with cannabis legalization and heightened stress during the COVID-19 pandemic. Our study provides data on preconception cannabis use and cannabis use disorder (CUD) during the pandemic and models the association between preconception cannabis use and depression and anxiety during pregnancy.

METHODS

Data on substance use and depression and anxiety symptoms were collected from questionnaires and the Structured Clinical Interview for DSM-5 (SCID-5) from pregnant individuals in Oregon in 2019-2022. Linear regression was used to model the association between the frequency of preconception cannabis use and scores on the Center for Epidemiological Studies of Depression-Revised (CESD-R) and Beck Anxiety Inventory (BAI).

RESULTS

The prevalence of preconception cannabis use was 27.8% among 227 study participants. CUD was diagnosed in 19% of cannabis users, or 5.3% of the overall sample. Daily cannabis use, compared to rare/never use, was associated with increases in CESD-R (β = 6.22, p 0.029) and BAI (β = 4.71, p 0.045) scores.

CONCLUSIONS

Cannabis use and CUD are common among individuals of reproductive age. Given the association between preconception cannabis use and depression and anxiety during pregnancy, more attention is needed on screening and counseling of cannabis use among people of reproductive age.

Childhood adversity and late-life depression: moderated mediation model of stress and social support

Background

As life expectancy increases, understanding the mechanism for late-life depression and finding a crucial moderator becomes more important for mental health in older adults. Childhood adversity increases the risk of clinical depression even in old age. Based on the stress sensitivity theory and stress-buffering effects, stress would be a significant mediator, while social support can be a key moderator in the mediation pathways. However, few studies have tested this moderated mediation model with a sample of older adults. This study aims to reveal the association between childhood adversity and late-life depression in older adults, taking into consideration the effects of stress and social support.

Methods

This study used several path models to analyze the data from 622 elderly participants who were never diagnosed with clinical depression.

Results

We found that childhood adversity increases the odds ratio of depression by approximately 20% in older adults. Path model with mediation demonstrates that stress fully mediates the pathway from childhood adversity to late-life depression. Path model with moderated mediation also illustrates that social support significantly weakens the association between childhood adversity and perceived stress.

Conclusion

This study provides empirical evidence to reveal a more detailed mechanism for late-life depression. Specifically, this study identifies one crucial risk factor and one protective factor, stress and social support, respectively. This brings insight into prevention of late-life depression among those who have experienced childhood adversity.

Predicting depressive symptom by cardiometabolic indicators in mid-aged and older adults in China: a population-based cross-sectional study

Objective

Depressive symptom is a serious mental illness often accompanied by physical and emotional problems. The prevalence of depressive symptom in older adults has become an increasingly important public health priority. Our study used cardiometabolic indicators to predict depressive symptom in middle-aged and older adults in China.

Methods

The data came from the China Health and Retirement Longitudinal Study 2011 (CHARLS2011), which was a cross-sectional study. The analytic sample included 8,942 participants aged 45 years or above. The study evaluated the relationship between cardiometabolic indicators and depression by measuring 13 indicators, including body mass index (BMI), waist circumference, waist-height ratio (WHtR), conicity index, visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-waist circumference, TyG-WHtR). Binary logistic regression analysis was used to examine the association between thirteen cardiometabolic indicators and depressive symptom. In addition, the receiver operating characteristic (ROC) curve analysis and area under curve (AUC) were used to evaluate the predictive anthropometric index and to determine the optimum cut-off value.

Results

The study included 8,942 participants, of whom 4,146 (46.37%) and 4,796 (53.63%) were male and female. The prevalence of depressive symptom in mid-aged and older adults in China was 41.12% in males and 55.05% in females. The results revealed that BMI [AUC = 0.440, 95%CI: 0.422-0.457], waist circumference [AUC = 0.443, 95%CI: 0.425-0.460], WHtR [AUC = 0.459, 95%CI: 0.441-0.476], LAP [AUC = 0.455, 95%CI: 0.437-0.472], BRI [AUC = 0.459, 95%CI: 0.441-0.476], CVAI [AUC = 0.449, 95%CI: 0.432-0.467], TyG-BMI [AUC = 0.447, 95%CI: 0.429-0.465], and TyG-waist circumference [AUC =0.452, 95%CI: 0.434-0.470] were weak predictors of depressive symptom (p < 0.05) in males. In females, BMI [AUC = 0.470, 95%CI: 0.453-0.486], LAP [AUC = 0.484, 95%CI: 0.467-0.500], TyG-BMI [AUC = 0.470, 95%CI: 0.454-0.487], and TyG-waist circumference [AUC =0.481, 95%CI: 0.465-0.498] were weak predictors of depressive symptom (p < 0.05). On the other side, VAI, ABSI, conicity index and TyG index could not predict depressive symptom in middle-aged and older adults.

Conclusion

Most cardiometabolic indicators have important value in predicting depressive symptom. Our results can provide measures for the early identification of depressive symptom in middle-aged and older adults in China to reduce the prevalence of depressive symptom and improve health.

Mixed Signals in Child and Adolescent Mental Health and Well-Being Indicators in the United States: A Call for Improvements to Population Health Monitoring

Policy Points Social indicators of young peoples' conditions and circumstances, such as high school graduation, food insecurity, and smoking, are improving even as subjective indicators of mental health and well-being have been worsening. This divergence suggests policies targeting the social indicators may not have improved overall mental health and well-being. There are several plausible reasons for this seeming contradiction. Available data suggest the culpability of one or several common exposures poorly captured by existing social indicators. Resolving this disconnect requires significant investments in population-level data systems to support a more holistic, child-centric, and up-to-date understanding of young people's lives.

Daily discrimination, church support, personal mastery, and psychological distress in black people in the United States

OBJECTIVE

This study used the stress process model to test the mediating effects of personal mastery and moderating effects of church-based social support on the relationship between daily discrimination and psychological distress across three age groups of African American and Afro-Caribbean adults.

METHODS

Using a national sample of 5008 African Americans and Afro-Caribbean adults from the National Survey of American Life Study, this study employs structural equation modeling to investigate the relationships between daily discrimination, personal mastery, church-based social support, and psychological distress.

RESULTS

Daily discrimination was an independent predictor of psychological distress across all groups. Group- and age-specific comparisons revealed significant differences in the experience of daily discrimination and psychological distress. Mastery was a partial mediator of the relationship between discrimination and psychological distress among Afro-Caribbeans while church support was a significant moderator only among the young and older African Americans.

IMPLICATIONS

Together, our study findings provide useful first steps towards developing interventions to reduce the adverse psychological impacts of daily discrimination on African Americans and Afro-Caribbeans. Intervention efforts such as individual psychotherapy aimed to improve Afro-Caribbean individuals' sense of mastery would be a partial solution to alleviating the adverse effects of discrimination on their psychological health.

Predicting Depression in Older Adults after the COVID-19 Pandemic Using ICF Model

This study aimed to test a predictive model for depression in older adults in the community after the COVID-19 pandemic and identify influencing factors using the International Classification of Functioning, Disability, and Health (ICF). The subjects of this study were 9920 older adults in South Korean local communities. The analysis results of path analysis and bootstrapping analysis revealed that subjective health status, instrumental activities of daily living (IADL), number of chronic diseases, social support satisfaction, household economic level, informal support, and participation in social groups were factors directly influencing depression, while formal support, age, gender, education level, employment status, and participation in social groups were factors indirectly affecting it. It will be needed to prepare measures to prevent depression in older adults during an infectious disease pandemic, such as the COVID-19 pandemic, based on the results of this study.

Evaluating sex-differences in the prevalence and associated factors of mood disorders in Canada

BACKGROUND

We assessed the sex-differences in the prevalence and associated factors of mood disorders in Canada using a nationally representative survey, focusing on identity characteristics and socioeconomic factors.

METHODS

A secondary analysis of the 2017-2018 Canadian Community Health Survey (CCHS) - Annual Component was conducted using Gender-Based Analysis Plus, which is an analytical process for incorporating various intersecting identity factors into research, programs, and policies. The presence of mood disorders was assessed through self-reporting. Factors associated with mood disorders were evaluated using multivariable logistic regression analysis after the application of sampling and bootstrap weights.

RESULTS

The CCHS was completed by 113,290 Canadians, representative of 98 % of the population over the age of 12. Self-reported mood disorders were more prevalent among females than males (11.0 % vs 6.4 %, p < 0.001). Adjusted regression analysis revealed higher odds of reporting mood disorders for those who were female, unemployed, non-immigrant, non-White, smokers, homosexual or bisexual, had lower income, suffered from food insecurity, had a disability and weak sense of community belonging. Employment and higher income were more protective against mood disorders among males than females, and the association of older age with mood disorders was stronger in males than in females.

LIMITATIONS

Mood disorders were assessed through self-reporting, and certain population groups were excluded from the survey.

CONCLUSIONS

Females in Canada are affected by mood disorders at higher rates than males and certain factors have differential associations with mood disorders among the sexes. Strategies targeting mental disorders must be tailored towards the needs of specific groups.

Evaluation of serum interleukin‐1 receptor antagonist levels in major depressive disorder: A case‐control study

Background and Aims

Major depressive disorder (MDD) is characterized by the occurrence of one or more depressive episodes lasting a minimum of 2 weeks and is marked by a persistently low mood and a lack of enjoyment in daily activities. The diagnosis of MDD is not possible by a well‐established laboratory test or biomarker. A wide range of potential biomarkers for depression have been proposed by many studies, but none of them has adequately described the correlation between the biomarkers and depression. The purpose of this study was to evaluate serum interleukin‐1 receptor antagonist (IL‐1RA) levels as an early depression risk factor.

Methods

The present case‐control study included 88 participants. Among them, 44 MDD patients enrolled from the psychiatry department of a public hospital in Dhaka, Bangladesh, and 44 age‐ and sex‐matched healthy controls (HCs) from various sites in Dhaka city. A qualified psychiatrist evaluated the cases and HCs based on the fifth edition of the diagnostic and statistical manual of mental disorders (DSM‐5). The Hamilton depression (Ham‐D) rating scale was employed to evaluate the intensity of depression. An enzyme‐linked immunosorbent assay kit (Boster Bio, USA) was used to determine serum IL‐1RA concentrations.

Results

We observed no marked alteration in the serum concentration of IL‐1RA in MDD patients in comparison to HCs (292.81 ± 24.81 and 288 ± 24.87 pg/mL; p > 0.05). Among MDD patients, we found no noteworthy association between the severity of depression and serum IL‐1RA levels.

Conclusion

The findings of the present study imply that IL‐1RA may not be identified as a promising biomarker for risk assessment of depression. However, its neuroprotective role may be taken into consideration for the understanding of pathophysiology of MDD.

Performance-Based Pay System and Job Stress Related to Depression/Anxiety in Korea: Analysis of Korea Working Condition Survey

The adoption rate of performance-based pay systems has increased in recent years, and the adverse effects of systems have been emphasized. However, no study has analyzed the increase in the risk of depression/anxiety symptoms caused by the pay system in Korea. This study aimed to reveal the association between performance-based pay systems and symptoms of depression/anxiety, using data from the fifth Korean Working Conditions Survey. Depressive/anxiety symptoms were assessed using "yes" or "no" questions regarding medical problems related to depression/anxiety. The performance-based pay system and job stress were estimated using self-response answers. Logistic regression analyses were conducted to determine the association between performance-based pay systems, job stress, and symptoms of depression/anxiety using data from 27,793 participants. The performance-based pay system significantly increased the risk of the symptoms. Additionally, risk increments were calculated after grouping by pay system and job stress. Workers with two risk factors had the highest risk of symptoms of depression/anxiety for both sexes (male: OR 3.05; 95% CI 1.70-5.45; female: OR 2.15; 95% CI 1.32-3.50), implying synergistic effect of performance-based pay system and job stress on depression/anxiety symptoms. Based on these findings, policies should be established for early detection and protection against the risk of depression/anxiety.

Attitudes toward depression among Ecuadorian physicians using the Spanish-validated version of the Revised Depression Attitude Questionnaire (R-DAQ)

PURPOSE

Depression is inadequately recognized and managed, and physicians' attitudes toward this condition and its treatment may play a part in this. This study aimed to assess Ecuadorian physicians' attitudes toward depression.

METHODS

This was a cross-sectional study conducted using the validated Revised Depression Attitude Questionnaire (R-DAQ). The questionnaire was delivered to Ecuadorian physicians, and the response rate was 88.8%.

RESULTS

76.4% of participants had never received previous training in depression, and 52.1% of them indicated neutral or limited professional confidence when dealing with depressed patients. More than two-thirds of the participants reported an optimistic attitude toward the generalist perspective of depression.

CONCLUSION

Overall, physicians in Ecuador's healthcare settings were optimistic and held positive attitudes toward patients with depression. However, a lack of confidence in the management of depression and a need for ongoing training were found, especially among medical professionals who are not in daily contact with patients with depression.

Neighborhood and Depressive Symptoms in Older Adults Living in Rural and Urban Regions in South Korea

Neighborhoods have a significant impact on depressive symptoms in older adults. In response to the increasing depression of older adults in Korea, this study aims to identify the relationship between perceived and objective neighborhood characteristics in depressive symptoms and find differences between rural and urban areas. We used a National survey collected in 2020 of 10,097 Korean older adults aged 65 and older. We also utilized Korean administration data for identifying the objective neighborhood characteristics. Multilevel modeling results indicated that depressive symptoms decreased when older adults perceived their housing condition (b = -0.04, p < 0.001), their interaction with neighbors (b = -0.02, p < 0.001), and overall neighborhood environment (b = -0.02, p < 0.001) positively. Among the objective neighborhood characteristics, only nursing homes (b = 0.09, p < 0.05) were related to depressive symptoms of older adults living in urban areas. For older adults living in rural areas, the number of social workers (b = -0.03, p < 0.001), the number of senior centers (b = -0.45, p < 0.001), and nursing home (b = -3.30, p < 0.001) in the neighborhood were negatively associated with depressive symptoms. This study found that rural and urban areas have different neighborhood characteristics related to older adults' depressive symptoms in South Korea. This study encourages policymakers to consider neighborhood characteristics to improve the mental health of older adults.

Active and passive social media use are differentially related to depressive symptoms in older adults

OBJECTIVES

Previous research on social media use (SMU) and mental health has focused on younger individuals. For example, in young adults active SMU (e.g. posting content) has been related to decreased depressive symptoms, whereas passive SMU (e.g. browsing content) has been related to increased depressive symptoms. These relationships have not yet been investigated in older adults, however, even though SMU and poor mental health are common.

METHODS

We collected data from adults aged 65 years and older, and categorized SMU into active and passive dimensions with a principal component analysis. Next, we conducted t-tests and logistic regressions to assess whether older adults' SMU was associated with depressive symptoms.

RESULTS

Our analysis revealed that active SMU was associated with increased odds for depressive symptoms, whereas passive SMU was associated with decreased odds for depressive symptoms.

CONCLUSION

Our results suggest that the relationships between active and passive SMU and depressive symptoms in older adults are different from previous literature focusing on younger individuals. We theorize that these findings may be due to older adults' engaging in fewer social comparisons overall, and hence experiencing fewer negative feelings while passively viewing others' social media posts.

General practice management of depression among patients with coronary heart disease in Australia

BACKGROUND

Incident depression is associated with coronary heart disease (CHD) and increased morbidity and mortality. Treatment of depression with antidepressants and psychotherapy can be beneficial for these patients to reduce the risk of further CHD events. Ongoing management of CHD and depression mainly occurs in the community, but little is known about the identification and care of patients with comorbid CHD and depression in general practice. This study explores the prescription of antidepressants for these patients by sociodemographic variables.

METHODS

This is an open cohort study with de-identified data based on electronic medical records of 880,900 regular patients aged 40 + years from a national general practice database in Australia (MedicineInsight). Data from 2011-2018 was used to classify patients as newly recorded CHD (CHD recorded in 2018 but not in previous years), previously recorded CHD (CHD recorded between 2011-2017) or no recorded history of CHD. Antidepressant prescribing in 2018 considered active ingredients and commercial brand names. The association between sociodemographic variables and antidepressant prescribing was tabulated according to the CHD status.

RESULTS

The proportion of current depression among patients with newly recorded CHD was 11.4% (95%CI 10.3-12.6), 10.5% among those with previously recorded CHD (95%CI 10.0-11.1) and 9.6% among those with no recorded history of CHD (95%CI 9.2-10.1). Antidepressant prescribing was slightly higher among those with newly recorded CHD (76.4%; 95%CI 72.1-80.6) than among those with previously recorded CHD (71.6%; 95%CI 69.9-73.2) or no history of CHD (69.5%; 95%CI 68.6-70.4). Among males with newly recorded CHD and depression, antidepressant prescribing was more frequent in major cities or inner regional areas (~ 81%) than in outer/remote Australia (66.6%; 95% CI 52.8-80.4%).

CONCLUSIONS

Although antidepressant prescribing was slightly greater in those with newly recorded CHD compared to those with depression alone, its clinical significance is uncertain. Much larger differences in prescribing were seen by geographic location and could be addressed by innovations in clinical practice.

COVID-19-related fear, stress and depression in school principals: impacts of symptoms like COVID-19, information confusion, health-related activity limitations, working hours, sense of coherence and health literacy

BACKGROUND

School principals have been reported to have a higher prevalence of burnout and psychological problems than their colleagues. During the pandemic, extra workload and pressure from unprecedented situations potentially cause fear, stress and depression. Therefore, we aimed to explore associated factors of stress, fear of COVID-19 (F-CoV-19S) and depressive symptoms among school principals.

METHODS

A cross-sectional online survey was conducted in Taiwan from 23 June to 16 July 2021. Data of 413 school principals were collected, including socio-demographic factors, COVID-19-related factors, work-related information, health status, sense of coherence (SoC), health literacy (HL), F-CoV-19S, stress and depression. Multiple linear and logistic regression models were utilized to explore associations.

RESULTS

School principals with symptoms like COVID-19 (S-COVID-19-S), or with health-related activity limitations had a higher score of stress (B = 0.92; p = .039) (B = 1.52; p < .001) and a higher depression likelihood (OR = 3.38; p < .001) (OR = 3.06; p < .001), whereas those with a better SoC had a lower stress score (B = -1.39; p < .001) and a lower depression likelihood (OR = 0.76; p = .020). School principals confusing about COVID-19-related information had a higher score of stress (B = 2.47; p < .001) and fear (B = 3.77; p < .001). The longer working time was associated with a higher fear score (B = 1.69; p = .006). Additionally, school principals with a higher HL score had a lower stress score (B = -1.76; p < .001), a lower fear score (B = -1.85; p < .001) and a lower depression likelihood (OR = 0.53; p = .043).

CONCLUSIONS

Health-related activity limitations, S-COVID-19-S, COVID-19-related information confusion and longer working hours were positively associated with at least one mental health problem (e.g. stress, fear and depression), whereas better SoC and HL showed the benefits to mitigate fear, stress and depressive symptoms in school principals. Our study provides evidence for appropriate strategies to improve principals' mental health during the pandemic.Key messages:School principals with health-related activity limitations or with symptoms like COVID-19 were more likely to be stressed and depressed.Higher levels of stress and fear were observed in school principals who confused about COVID-19-related information, and who had longer working time than before the pandemic.Better sense of coherence and higher health literacy could potentially mitigate the fear, stress and depressive symptoms in school principals.

Course and characteristics of depression over a 12-month period among Ghanaians living with HIV: the EVERLAST study

Individuals with HIV are predisposed to depression but there is limited data on its dynamics and correlates. We aimed to assess course and characteristics of depression among Ghanaian HIV patients over a 12-month period. We interrogated a longitudinal study dataset of patients at a tertiary hospital and assessed depression at month 0 and 12 using the Patient Health Questionnaire-9 (PHQ-9). Association between clinical, sociodemographic factors and changes in PHQ-9 scores were evaluated. Among 320 study participants, 171 (53.4%) and 55 (17.2%) had depression at month 0 and 12 respectively. Persistent depression was detected in 41 (24.0%) of the 171 patients with depression at month 0, whilst 135 (42.2%) of them never experienced depression. Patients' CD4 count was associated with depression at month 0 and 12 (p<0.05). Predictors of change in depression scores were urban dwelling [-1.98, 95%CI: -3.86 to -0.06, p=0.039], not knowing one's monthly income [2.10, 95%CI: 0.58 to 3.61, p=0.007], participant being single [-1.62 95%CI: -2.45 to -0.78, p<0.001] and being on antiretroviral therapy at recruitment [-1.5, 95%CI: -2.55 to -0.45, p<0.001]. There was a significant decrease in depression scores over a 12-month period and persistent depression is rife among this cohort of Ghanaians with HIV.

Association of Self-Reported Depression Symptoms with Physical Activity Levels in Czechia

Worldwide, depressive disorder is one of the leading determinants of disability-adjusted life years. Although there are benefits associated with a higher physical activity (PA) level, there is a lack of information related to this relationship, especially in countries such as Czechia, where modern approaches to mental health care only recently emerged. The present study aimed to evaluate the association between the level of depression and different PA levels following the World Health Organization (WHO) PA guidelines and according to specific symptoms that indicate depression. Multivariable-adjusted Poisson regression models were used to calculate the prevalence rate (PR) in a sample of 2123 participants (45.3% men, median 48 years). Compared to subjects with insufficient PA, moderate and high PA levels were inversely associated with continuous depression scores (PR = 0.85; 95% CI: 0.75-0.97; and PR = 0.80; 95% CI: 0.70-0.92). Depressed mood and worthlessness were the symptoms associated with moderate and high PA. Tiredness, change in appetite, and concentration problems were related to high PA. The results suggest that reaching the minimum PA target according to the guidelines seems to be effective, and this could stimulate adherence. However, more specific improvements in symptomatology will require a subsequent gradual increase in PA levels.

The prevalence of probable depression and probable anxiety, and associations with adverse childhood experiences and socio-demographics: A national survey in South Africa

Objective and methods

Mental health problems among adults are a growing public health concern, and middle-income countries such as South Africa are disproportionally affected. Using a large scale nationally representative weighted survey, we assessed the prevalence of probable depression, probable anxiety, and adverse childhood experiences (ACEs), and explored associations between probable depression, probable anxiety, ACEs, socio-economic status, and demographic characteristics.

Results

Nationally, 25.7, 17.8, and 23.6% of respondents, respectively, reported scores of ≥10 on the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), indicating probable depression or probable anxiety, and an ACE score of ≥4 (high exposure). Overall probable depression prevalence across South Africa varied from 14.7 to 38.8%. Both probable depression and probable anxiety were more frequently reported among adults who were: retired and older (>65 years of age), and widowed, divorced, or separated; living in metropolitan areas; and only had primary school education. In a multivariable adjusted logistic regression, the likelihood of reporting probable depression or probable anxiety was also found to increase with each standard deviation increase in the ACE score (p < 0.001), independent of other socio-demographic determinants.

Conclusion

The prevalence of probable depression among respondents in South Africa varies significantly across the nine provinces. Furthermore, higher ACE score and several socio-demographic determinants were associated with a higher likelihood of probable depression and probable anxiety. Adult mental health services are urgently needed to identify groups of the population vulnerable to mental health problems for better targeting of interventions. Given the range of probable depression prevalence across the country, provincial level plans and resources should also reflect the burden of mental health problems in that province.

National Trends in Prevalence of Depression in Men and Women with Chronic Obstructive Pulmonary Disease Hospitalized in Spain, 2016–2020

(1) Background: To describe trends in the prevalence of depression in men and women with COPD hospitalized in Spain (2016–2020). (2) Methods: We used a nationwide discharge database to select all patients ≥35 years with COPD. (3) Results: The prevalence of depression was 3.54-times higher in women with COPD than in men (OR 3.54; 95%CI 3.48–3.6). It decreased significantly between 2016 and 2020, although the reduction was only significant in women (12.27% in 2016 vs. 10.56% in 2020). Older age, comorbidity and the most recent years of hospital admission were associated with lower prevalence of depression in both men and women, while obesity, obstructive sleep apnea (OSA) and use of oxygen prior to admission were risk factors. In-hospital mortality (IHM) increased significantly over time. Older age, comorbidity, the use of oxygen prior to admission and having been hospitalized in 2020 increased the risk of IHM. Female sex was associated with a lower IHM in patients with depression and COPD. (4) Conclusions: The prevalence of depression has decreased over time in women with COPD while it has not changed significantly in men with this disease. IHM increased over time both in men and women with COPD and depression, with higher prevalence in the former.

Family History of Depression and Neural Reward Sensitivity: Findings From the Adolescent Brain Cognitive Development Study

BACKGROUND

Previous studies have found that offspring of depressed parents exhibit reduced striatal reward response to anticipating and receiving rewards, suggesting that this may constitute a neurobiological risk marker for depression. The present study aimed to assess whether maternal and paternal depression history have independent effects on offspring reward processing and whether greater family history density of depression is associated with increased blunting of striatal reward responses.

METHODS

Data from the baseline visit of the ABCD (Adolescent Brain Cognitive Development) Study were used. After exclusion criteria, 7233 9- and 10-year-old children (49% female) were included in analyses. Neural responses to reward anticipation and receipt in the monetary incentive delay task were examined in 6 striatal regions of interest. Using mixed-effects models, we evaluated the effect of maternal or paternal depression history on striatal reward response. We also evaluated the effect of family history density on reward response.

RESULTS

Across all 6 striatal regions of interest, neither maternal nor paternal depression significantly predicted blunted response to reward anticipation or feedback. Contrary to hypotheses, paternal depression history was associated with increased response in the left caudate during anticipation, and maternal depression history was associated with increased response in the left putamen during feedback. Family history density was not associated with striatal reward response.

CONCLUSIONS

Our findings suggest that family history of depression is not strongly associated with blunted striatal reward response in 9- and 10-year-old children. Factors contributing to heterogeneity across studies need to be examined in future research to reconcile these results with past findings.

The Association between Socio-Demographics and Mental Distress Following COVID-19 Vaccination—Mediation of Vaccine Hesitancy

The COVID-19 vaccine has been administered to over 200 countries and regions. With the unprecedented vaccination scale and speed, vaccination correlated mental health issues should be paid precise attention to. This study aims to assess the association between socio-demographic factors and mental health following vaccination and to analyze the mediation effect of vaccine hesitancy. This study recruited 2112 individuals who took two doses of the COVID-19 vaccine in Shanghai. Structural equation modeling was performed to assess factors associated with anxiety and depression of the vaccinated individuals and the underlying mechanism. The results yielded that vaccine hesitancy partially mediated/suppressed the effect from gender and employment status to anxiety/depression and fully mediated the effects from education to anxiety/depression. This study advanced the understanding of mental health disparity among different socio-demographic groups after vaccination and the impact of vaccine hesitancy on the vaccinated population’s mental health. The finding offered insights into the possible mental vulnerability of people holding a hesitant attitude before vaccination and suggested that vaccine hesitancy played a crucial role in people’s mental health after vaccination. Health promotion programs can target vaccine hesitancy to prevent unfavorable mental health consequences among specific populations.

Burden of mental distress in the United States is associated with delayed medical visits and missed prescription refills during the COVID-19 pandemic

The COVID-19 pandemic has contributed to poor health due to a decrease in healthcare utilization and those with mental health problems may be impacted. For this analysis, data came from a cross-sectional, nationally representative December 2020 survey. Logistic regression analyses examined associations between (1) mental distress and delayed medical visits, (2) mental distress and missed prescription refills, controlling for sociodemographics, pre-existing chronic conditions, and access to health insurance. We found that, compared to those that exhibited normal levels of mental distress, those with mild (aOR = 2.83, 95% CI = 2.47-3.24), moderate (aOR = 3.43, 95% CI = 2.95-3.99), and severe (aOR = 4.96, 95% CI = 4.21-5.84) mental distress showed greater odds of delaying medical visits. Similarly, compared to those that exhibited normal levels of mental distress, those with mild (aOR =3.93, 95% CI = 3.04-5.09), moderate (aOR =6.52, 95% CI = 5.07-8.43), and severe (aOR =8.69, 95% CI = 6.71-11.32) mental distress showed greater odds of missing prescription refills. Our study shows that individuals who showed signs of mental distress had increased odds of delayed medical visits and missed prescription refills, compared to those that showed normal levels of mental distress.

Factors Associated With High Rates of Depressive Symptomatology in Older People in Vietnam

OBJECTIVES

This study aimed to identify the prevalence and correlates of depressive symptomatology among Vietnamese older people.

METHOD

We used baseline survey data collected in 2018 from the Longitudinal Study of Ageing and Health in Vietnam (LSAHV) conducted across seven regions and comprising 6,050 people aged 60 years and over of whom 4962 completed the brief 11-item Center for Epidemiological Studies-Depression (CES-D) scale. Clinically significant depressive symptomatology was a CES-D score of 8.8 or higher. The association between demographic, physical, and mental factors with depressive symptomatology was examined using univariate and multivariable logistic regression.

RESULTS

The prevalence of depressive symptomatology was 31.3% (95% CI 29.8% - 32.9%). Depressive symptomatology was highest among people living in the Central Coast region (46.8%, 95% CI 44.5% - 49.2%). Factors associated with depressive symptomatology from the multivariable model included female sex (OR 1.3, 95% CI: 1.1-1.6), rural residence (OR 1.4, 95%CI: 1.1-1.7), not having a partner (OR 1.6, 95% CI: 1.3-1.9), low income (OR 1.8, 95% CI: 1.5-2.1), and health-limitations on activities (OR 1.3, 95% CI: 1.1-1.6). Poorer self-rated mental health (OR 2.1, 95% CI:1.8-2.5) or general health status (OR 1.5, 95% CI: 1.3-1.9) was associated with a higher prevalence of depressive symptomatology, as was poorer function with respect to different activities of daily living, and dissatisfaction with current life (OR 6.1, 95% CI: 4.4-8.4).

CONCLUSIONS

Depressive symptomatology was frequent among older Vietnamese. Efforts to improve mental health in older persons in Vietnam, including prevention, early intervention and better medical care, appear warranted.

Machine learning-based predictive modeling of depression in hypertensive populations

We aimed to develop prediction models for depression among U.S. adults with hypertension using various machine learning (ML) approaches. Moreover, we analyzed the mechanisms of the developed models. This cross-sectional study included 8,628 adults with hypertension (11.3% with depression) from the National Health and Nutrition Examination Survey (2011–2020). We selected several significant features using feature selection methods to build the models. Data imbalance was managed with random down-sampling. Six different ML classification methods implemented in the R package caret—artificial neural network, random forest, AdaBoost, stochastic gradient boosting, XGBoost, and support vector machine—were employed with 10-fold cross-validation for predictions. Model performance was assessed by examining the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1-score. For an interpretable algorithm, we used the variable importance evaluation function in caret. Of all classification models, artificial neural network trained with selected features (n = 30) achieved the highest AUC (0.813) and specificity (0.780) in predicting depression. Support vector machine predicted depression with the highest accuracy (0.771), precision (0.969), sensitivity (0.774), and F1-score (0.860). The most frequent and important features contributing to the models included the ratio of family income to poverty, triglyceride level, white blood cell count, age, sleep disorder status, the presence of arthritis, hemoglobin level, marital status, and education level. In conclusion, ML algorithms performed comparably in predicting depression among hypertensive populations. Furthermore, the developed models shed light on variables’ relative importance, paving the way for further clinical research.

Mental Health of People Under Isolation During the covid-19 Outbreak: An Exploratory Study

We conducted an exploratory study using a survey inquiring on seven topics on how people were reacting to the covid-19 pandemic of 2020 aiming to trace a map of symptoms and feelings related to mental health and isolation. 1785 people participated in the survey. Additionally, we applied two psychological scales to analyze depression and stress (prevalent in previous studies). We found that people in isolation during the pandemic presented symptoms related to dissociative disorders, negative affect, and anxiety syndrome. Also, depression and stress had a high prevalence compared to the average rates indicated by the World Health Organisation and the Colombian Ministry of Health. The results indicated an association between depression and stress and being previously diagnosed with a mental health problem, and job and financial situation. Our results highlight the need to design prevention and intervention programmes to reduce the negative consequences of isolation.

Symptoms of depression are related to sedentary behavior and sleep duration in elderly individuals: A cross-sectional study of 49,317 older Chinese adults

OBJECTIVE

Depression is a common mental disorder in older adults. This study aimed to determine the incidence of depression and the relationship between sedentary behavior and sleep duration in elderly individuals.

METHOD

A total of 49,317 elderly adults from eight health centers in six Chinese provinces completed an online self-reported health questionnaire. Logistic regression was used to explore the association between sedentary behavior, sleep duration, and depression symptoms.

RESULTS

Symptoms of depression were present in 20.1% of older adults. Sedentary behaviors for >6 h/day (OR = 3.16; 95% CI: 2.90-3.44; p < 0.001) were a greater risk factor for depressive symptoms in older adults than sedentary behaviors for less than 3 h/day. Elderly individuals with short sleep durations (<7 h/day) were more likely to experience depression (OR = 2.20; 95% CI: 2.07-2.34; p < 0.001).

CONCLUSION

This study suggested that sedentary behavior and short sleep duration in older Chinese adults are associated with depressive symptoms. In China, further improvement of the mental health and lifestyle of elderly individuals may be warranted.

An analytical pathway of consumption expenditure with neighborhood deprivation and depression on cognitive health among elderly in India: A moderated mediation approach

BACKGROUND

This study aims to find the linkage between neighborhood deprivation and cognition with depression as a mediating factor while economic condition as a moderator.

METHODS

We have used the recent baseline wave-1 data of Longitudinal Aging Study in India (LASI), 2017-2018. The study was restricted to 60 and above population, consisting of males (14,931) and females (16,533). We have used moderated mediating model to understand the relationship between deprivation (X), cognition (Y) mediated through depression (M), moderated by economic condition (W), while controlling all possible confounders.

RESULTS

Neighborhood deprivation was positively associated with depression (β: 0.12; SE: 0.01) and inversely linked to cognition (β: -0.4; SE: 0.02). Deprivation had a strong indirect effect on cognition that was mediated by depression. Further, interaction of depression (M) and economic condition (W) was negatively associated (β = -0.03; SE: 0.01) with cognition (Y), indicating that lower economic section being more depressed with lower cognitive function.

LIMITATIONS

The study failed to capture other mental health aspects like stress and anxiety using the Depression, Anxiety and Stress Scale-21 items (DASS-21).

CONCLUSIONS

This study has found a link between higher economic condition with low deprivation and depression. Older individuals with better financial situation have improved cognitive level than their counterparts, who are also depressed. This study provides an opportunity to conduct future research on cognitive health in the face of population aging in India.

How Income and Income Inequality Drive Depressive Symptoms in U.S. Adults, Does Sex Matter: 2005-2016

IMPORTANCE

Depression is one of the leading causes of disability in the United States. Depression prevalence varies by income and sex, but more evidence is needed on the role income inequality may play in these associations.

OBJECTIVE

To examine the association between the Poverty to Income Ratio (PIR)-as a proxy for income-and depressive symptoms in adults ages 20 years and older, and to test how depression was concentrated among PIR.

DESIGN

Using the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we employed Negative Binomial Regression (NBRG) in a sample of 24,166 adults. We used a 9-item PHQ (Public Health Questionnaire, PHQ-9) to measure the presence of depressive symptoms as an outcome variable. Additionally, we plotted a concentration curve to explain how depression is distributed among PIR.

RESULTS

In comparison with high-income, the low-income population in the study suffered more from greater than or equal to ten on the PHQ-9 by 4.5 and 3.5 times, respectively. The results of NBRG have shown that people with low-PIR (IRR: 1.30, 95% CI: 1.23-1.37) and medium-PIR (IRR: 1.55, 95% CI: 1.46-1.65) have experienced a higher relative risk ratio of having depressive symptoms. Women have a higher IRR (IRR: 1.29, 95% CI: 1.24-1.34) than men. We observed that depression was concentrated among low-PIR men and women, with a higher concentration among women.

CONCLUSION AND RELEVANCE

Addressing depression should target low-income populations and populations with higher income inequality.

Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China

Rapid social change has given rise to a general increase in psychological pressure, which has led to more and more Chinese people suffering from depression over the past 30 years. Depression was influenced not only by individual factors but also by social factors, such as economy, culture, politics, etc. These social factors were measured at the national, provincial, or community levels. However, little literature reported the influence of province-level factors on the depression of Chinese. This study examined the effects of province-level and individual-level factors on depression of Chinese respondents aged 16–97 years. We conducted a multilevel analysis of the 2018 wave survey of the Chinese Family Panel Studies (CFPS), with 19,072 respondents nested within the 25 Chinese provinces. Data for the province-level were extracted from the National Bureau of Statistics of China, including three predictors: gross regional product (GRP) per capita, expenditure for social security and employment (ESSE), and rural and urban household income inequality. Depression was measured with the eight-item short version of the Center for Epidemiologic Studies Depression Scale (CES-D8). The study found that respondents who were female, 30–59 years, divorced or widowed, less educated, rural residents, less body mass index (BMI), or had lower household income tended to report higher levels of depressive symptoms. After adjustment for individual-level features, a significant effect of provinces still survived. The respondents who lived in a province with higher GRP, higher ESSE, or smaller rural and urban household income inequality reported lower depressive symptoms. Our results demonstrated that individual features did not fully explain depression. Economic and social factors appeared to impact depression and have to be considered when the government planned for improved public depression. Meanwhile, our research also provided a suggestion for the government of some provinces to investigate and improve depression.

Participation in Higher Intensity Physical Activity Predicts Lower Depressive Symptom Incidence in College Students

The prevalence of depression and insufficient physical activity (PA) continue to rise in the United States, particularly among college students. PA is typically associated with decreased levels of depressive symptoms; however, the association between different intensities of PA and depressive symptoms is unclear among college students. The aim of this study was to examine how well weekly moderate PA (MPA), vigorous PA (VPA) and strength training (ST) volumes predicted depressive symptoms in college students. Students self-reported weekly MPA, VPA, ST, depressive symptoms (CESD-7), restful nights of sleep, grade point average (GPA) and socio-demographic characteristics. Four individual linear regression models were performed to examine how MPA, VPA, and ST predicted depressive symptoms. Covariates controlled for socio-demographic characteristics (gender, race/ethnicity, and sexual orientation) and other variables (GPA and sleep) that could influence depressive symptoms. Data suggested that higher volumes of VPA (β = -0.11; R² = 0.157) and higher days of ST (β = -0.11; R ² = 0.157) significantly predicted (p < 0.001) lower depressive symptoms. While MPA volume (β = -0.01; R ² = 0.147) did not significantly predict depressive symptoms. Higher volumes of VPA and more days of ST participation predicts lower depressive symptoms in college students. High intensity exercise programs should be promoted at universities and throughout the young adult population. Exercise prescription may be useful and successful for students at risk of depression. Emphasis placed on these intensities will attempt to decrease depressive symptoms in students.