Prevalence of major depressive disorder and association with personal and socio-economic factors. Results for Spain of the European Health Interview Survey 2014-2015

A feasibility study of a Smart screening tool for people at risk of mental health issues: Response rate, and sociodemographic and clinical factors

BACKGROUND

The use of Smart Screening tools to identify mental health problems has scarce empirical data on their effectiveness. This study aims to explore the response rate of patients to this tool and observe their socio-demographic and healthcare characteristics, and the tool's ability to detect potential mental health diagnoses.

METHODS

The study employed an online survey within patient portal from patients of four teaching hospitals in Madrid. The sample included 8749 patients, comprising 66.77 % females and 31.21 % middle-aged adults.

RESULTS

60.56 % responded to the Smart Screening tool. Respondents were found to be predominantly middle-aged women who had been contacted by mental health services multiple times but had not exhibited suicidal behaviour. These patients demonstrated a higher appointment attendance rate and generated low healthcare costs. The tool identified probable low depression and mild anxiety (72.16 %), and individuals aged 50-65 exhibited higher levels of mental health problems, such as psychosis and suicidality, although these results were not all significant regarding previous mental health diagnoses.

LIMITATIONS

The Smart Screening tool collects anonymous online data through short questionnaires to apply sophisticated algorithms and determine probable mental health diagnoses.

CONCLUSIONS

The response rate to the Smart Screening tool was higher than in previous studies. The respondents' profile was middle-aged and older women with moderate mental health problems, although suicidality was also identified. Future research should focus on those who did not respond to the tool and explore the link between previous psychiatric diagnoses and the accuracy of the Smart Screening tool.

Factors affecting major depression in Iran: a mixed-method study

Depression is a major cause of disability and, if left untreated, can increase the risk of suicide. Evidence on the determinants of depression is incomplete, making it challenging to interpret results across studies. This study aims to identify the social, economic, environmental, political, and technological factors influencing the great recession in Iran. The study was conducted in two parts. The first step involved a literature review to identify the factors, using PubMed, Scopus, and Web of Science for the search. The reference lists of all identified articles were reviewed to find relevant studies, and the extracted information was summarized and reported descriptively. The second steps involved compiling and consulting 14 experts from different fields, using a framework analysis method. Twenty-four articles were used as primary sources of information, and a total of 28 factors were found to exist. After removing duplicates and related factors, 19 of these were subsequently declared as factors, resulting in a total of 36 determinants being identified. Most of these factors belong to the social category. The health policies implemented have a significant impact on disease risk factors and ultimately their occurrence. Political decisions and policy-making processes play a crucial role in all areas, particularly in addressing disease risk factors. Severe depression can disrupt all aspects of the healthcare system, underscoring the importance of access to care. Policies concerning physical education, transportation, nutrition, employment, green spaces, recreational facilities, and tobacco are vital in this context. The influence of health policies on disease risk factors and disease occurrence is profound. Severe depression can have far-reaching effects on the healthcare system, emphasizing the critical need for access to care. The formulation of policies to combat depression must be thoroughly evaluated in terms of economic, political, social, technological, and environmental factors. The findings suggest that addressing social inequalities and emphasizing the role of political action, as highlighted by the social determinants of health, should be top priorities in addressing depression. Efforts to prevent depression should incorporate ecological approaches that consider the impact of the socioeconomic environment on depressive symptoms.

Stress, Mental Health, Sleep, and Healthy Habits in Spanish Healthcare Professionals Along the Pandemic: A Case-Control, and Follow-Up Study

OBJECTIVE

The aim of this study was to assess short and medium-term impact of the coronavirus disease-2019 (COVID-19) pandemic on stress, mental health, and sleep in Spanish healthcare professionals (HCP), and analyze the association between healthy habits, anxiety, and depression during the same period.

METHODS

An online survey including five validated scales (the Perceived Stress Scale, the Goldberg Anxiety and Depression Scales, the Pre-Sleep Arousal Scale, and the Pittsburgh Sleep Quality Index), and some questions about healthy habits were completed by HCP in charge of patients without and with coronavirus. Once for the control group (baseline), and twice for the case group (baseline and follow-up).

RESULTS

Overall 563 questionnaires were included. Moderate-severe stress was reported by 98.1% of subjects, anxiety and depression by 55.1% and 78.7% respectively, and poor sleep quality by 96.6%. Anxiety was reported more frequently by females and singles. HCP in charge of COVID-19 patients showed, in the baseline, a higher frequency of anxiety compared to controls (58.9% vs. 42.8%, p=0.002), and of depression (82.1% vs. 67.6%, p=0.001), that persisted in the follow-up assessment. Furthermore, HCP in charge of COVID-19 patients also exhibited more elevated mean scores for stress (p=0.005) and poor sleep (p=0.019). A decrease of sunlight exposure was associated with an increase of anxiety and depression symptoms, and less physical activity with depression.

CONCLUSION

Stress, sleep, and mental problems were common in Spanish HCP, especially in those in charge of COVID patients. These findings persisted throughout the pandemic, and may impact in the post-pandemic mental health of HCP.

Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine

Most current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males (n = 149,879) and females (n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression.

The Southern European Atlantic diet and depression risk: a European multicohort study

The Southern European Atlantic diet (SEAD) is the traditional dietary pattern of north-western Spain and northern Portugal, but it may resemble that of other European countries. The SEAD has been found associated with lower risk for myocardial infarction and mortality. Since dietary patterns may also influence mental health, we examined the association between the SEAD and depression risk in southern, central, eastern, and western European populations. We conducted a prospective analysis of five cohorts (13,297 participants aged 45-92 years, free of depression at baseline): Seniors-ENRICA-1 and Seniors-ENRICA-2 (Spain), HAPIEE (Czechia and Poland), and Whitehall-II (United Kingdom). The SEAD comprised cod, other fresh fish, red meat and pork products, dairy, legumes and vegetables, vegetable soup, potatoes, whole-grain bread, and moderate wine consumption. Depression at follow-up was defined according to presence of depressive symptoms (based on available scales), use of prescribed antidepressants, inpatient admissions, or self-reported diagnosis. Associations were adjusted for sociodemographic, lifestyle, and dietary variables. During a median follow-up of 3.9 years (interquartile range 3.4-4.9), there were 1437 new depression cases. Higher adherence to the SEAD was associated with lower depression risk in the pooled sample. Individual food groups showed a similar tendency, albeit non-significant. The fully adjusted odds ratio (95% confidence interval) per 1-standard deviation increment in the SEAD was 0.91 (0.86, 0.96). This association was rather consistent across countries [Spain = 0.86 (0.75, 0.99), Czechia = 0.86 (0.75, 0.99), Poland = 0.97 (0.89, 1.06), United Kingdom = 0.85 (0.75, 0.97); p for interaction = 0.24], and was of similar magnitude as that found for existing healthy dietary patterns. In conclusion, the SEAD was associated with lower depression risk across European populations. This may support the development of mood disorder guidelines for Southern European Atlantic regions based on their traditional diet, and for central, eastern, and western European populations based on the SEAD food groups that are culturally rooted in these places.

The Role of Lifestyle on Adherence to Treatment in a Sample of Patients with Unipolar and Bipolar Depression

Introduction: Poor adherence to treatment is currently stated to be one of the causes of depression relapse and recurrence. The aim of the present study is to assess potential differences in terms of clinical and lifestyle features related to adherence to treatment in a sample of patients with unipolar and bipolar depression. Methods: One hundred and eight patients with a diagnosis of unipolar or bipolar depressive episode were recruited from January 2021 to October 2022. Adherence to psychopharmacological treatment was assessed using the clinician rating scale. Descriptive and association analyses were performed to compare subgroups based on adherence to treatment. Results: Lower levels of adherence to treatment were associated with fewer years of education, work impairment, manic prevalent polarity lifetime, and greater comorbidity with alcohol and drug abuse. The majority of patients with positive adherence did not report any hospitalization and involuntary commitment lifetime. Conclusions: Patients with a positive treatment adherence showed significant differences in terms of lifestyle and clinical features compared to non-adherent patients. Our results may help to identify patients more likely to have poor medication adherence, which seem to lead to a worse disease course and quality of life.

A GBD 2019 study of health and Sustainable Development Goal gains and forecasts to 2030 in Spain

This study aimed to report mortality, risk factors, and burden of diseases in Spain. The Global Burden of Disease, Injuries, and Risk Factors 2019 estimates the burden due to 369 diseases, injuries, and impairments and 87 risk factors and risk factor combinations. Here, we detail the updated Spain 1990-2019 burden of disease estimates and project certain metrics up to 2030. In 2019, leading causes of death were ischaemic heart disease, stroke, chronic obstructive pulmonary disease, Alzheimer's disease, and lung cancer. Main causes of disability adjusted life years (DALYs) were ischaemic heart disease, diabetes, lung cancer, low back pain, and stroke. Leading DALYs risk factors included smoking, high body mass index, and high fasting plasma glucose. Spain scored 74/100 among all health-related Sustainable Development Goals (SDGs) indicators, ranking 20 of 195 countries and territories. We forecasted that by 2030, Spain would outpace Japan, the United States, and the European Union. Behavioural risk factors, such as smoking and poor diet, and environmental factors added a significant burden to the Spanish population's health in 2019. Monitoring these trends, particularly in light of COVID-19, is essential to prioritise interventions that will reduce the future burden of disease to meet population health and SDG commitments.

Discovery and classification of complex multimorbidity patterns: unravelling chronicity networks and their social profiles

Multimorbidity can be defined as the presence of two or more chronic diseases in an individual. This condition is associated with reduced quality of life, increased disability, greater functional impairment, increased health care utilisation, greater fragmentation of care and complexity of treatment, and increased mortality. Thus, understanding its epidemiology and inherent complexity is essential to improve the quality of life of patients and to reduce the costs associated with multi-pathology. In this paper, using data from the European Health Survey, we explore the application of Mixed Graphical Models and its combination with social network analysis techniques for the discovery and classification of complex multimorbidity patterns. The results obtained show the usefulness and versatility of this approach for the study of multimorbidity based on the use of graphs, which offer the researcher a holistic view of the relational structure of data with variables of different types and high dimensionality.

Mediating effects of parent-child relationship on the association between childhood maltreatment and depressive symptoms among adolescents

BACKGROUND

Depressive symptoms are the most common mental disorder among adolescents, and its prevalence has been increasing in recent years. Although childhood maltreatment is a contributing factor to depressive symptoms among adolescents, the underlying mechanism of how this factor causes depressive symptoms is unclear.

OBJECTIVE

This study aimed to investigate the mediating effects of parent-child relationship on the association between childhood maltreatment and depressive symptoms among adolescents and to identify how sex and only child status affect this association.

METHODS

A total of 14,500 middle school students were randomly selected from four cities (Shenzhen, Zhengzhou, Nanchang, and Guiyang) in China. A survey questionnaire was administered to collect information on childhood maltreatment, parent-child relationship, and depressive symptoms. Pearson's correlation analysis was used in analyzing the relationship, Bootstrap method was used to test the mediating effects. A moderated mediation analysis has been used to determine the moderated mediation effect.

RESULTS

Childhood maltreatment significantly negatively correlated with parent-child relationship and positively correlated with depressive symptoms (P < 0.001). The indirect effect of parent-child relationship accounted for 20.60% of the total effect between childhood maltreatment and depressive symptoms in all respondents and differed by sex (boys, 17.00%; girls, 25.23%) and only child status (only child, 15.61%; child with siblings, 23.49%). Besides, the indirect effect of the mediation model was moderated by sex and only child status.

CONCLUSIONS

Childhood maltreatment increased the risk of depressive symptoms, and this relationship was partially mediated by parent-child relationship, sex and only child status have moderated the indirect relationship. These findings showed efforts aimed at enhancing the parent-child relationship may prevent or reduce the prevalence of depressive symptoms among adolescents, especially in girls and children with siblings.

Anxiety and depression risk in Taiwan women with breast cancer and cervical cancer

Background

Studies comparing mental disorder risks between women with breast cancer and cervical cancer are lacking. This study compared risks of developing anxiety and depression between women with breast cancer (BC cohort) and women with cervical cancer (CC cohort) using insurance claims data of Taiwan.

Methods

From the 2000 to 2016 data, we identified a BC cohort and BC controls (N = 96,862) and a CC cohort and CC controls (N = 26,703), matched by propensity scores. Incident mental disorders and the Cox method estimated the related cancer cohort to control cohort hazard ratios (HRs), and 95% confidence intervals (CIs) were estimated by the end of 2016.

Results

Compared to the CC cohort, the BC cohort had slightly higher incident anxiety (15.9 versus 15.5 per 1,000 person-years) and depression (6.92 vs. 6.28 per 1,000 person-years). These mental disorders were higher in respective cancer cohorts than controls. The BC cohort to BC control adjusted HRs of anxiety and depression were 1.29 (95% CI = 1.25-1.33) and 1.78 (95% CI = 1.69-1.87), respectively. The corresponding adjusted HRs for the CC cohort were 1.12 (95% CI = 1.06-1.18) and 1.29 (95% CI = 1.18-1.41). The combined incidence rates of both disorders were 1.4-fold greater in the BC cohort than in BC controls (22.8 vs. 15.8 per 1,000 person-years), and 1.2-fold greater in the CC cohort than in the CC controls (21.7 vs. 18.3 per 1,000 person-years).

Conclusion

Women with breast cancer or cervical cancer are at an elevated likelihood of developing anxiety and depression disorders. These incident disorders are slightly higher in those with breast cancer.

Socio-Economic Development and Mental Health: Case Study of the Spanish Region of Aragon (2010-20)

Introduction

Considering health as a cross-cutting element of all public policies leads to rethinking its interactions with the environment in which people live. The collection of large volumes of data by public administrations offers the opportunity to monitor and analyze the possible associations between health and territory. The increase in the incidence and prevalence of mental health diseases, particularly depression, justifies the need to develop studies that seek to identify links with the socioeconomic and environmental setting.

Objective

The objective of this study is to explain the behavior of the depression in a mediterranean region of Northeastern Spain from an ecological and diachronic perspective.

Methods

We conducted a correlation and multivariate logistic regression analysis to identify explanatory factors of the prevalence of depression in 2010 and 2020 and in the variation rate. Potential explanatory factors are related to the socioeconomic status and to the territorial development level.

Results

The regression models retained both socioeconomic and territorial development variables as predictors of the prevalence in both years and in the variation rate. Rural areas seem to play a protective role against the prevalence.

Conclusion

It is under the territorial prism that epidemiological studies could offer useful guidelines for proactive decision-making. The integration of data on diseases and territory must be considered when developing policies for the creation of healthier environments and for directing health services with more specific resources to where they may be needed.

Gender analysis of the frequency and course of depressive disorders and relationship with personality traits in general population: A prospective cohort study

BACKGROUND

We aimed to determine the prevalence and course of subthreshold depressive symptomatology (sDS) and probable major depressive episode (MDE) and to examine their association with personality traits among men and women.

METHODS

A community-based sample aged 35 years or older was examined in two waves (median follow-up of 6.9 years). The Patient Health Questionnaire-9 (PHQ-9) was used to assess sDS and MDE. The 10-item version of the Big Five Inventory was used to assess personality traits. Prevalence was assessed at baseline (n = 5,557) and incidence and persistence-recurrence rates were computed at follow up (n = 3,102). Logistic regression models were adjusted to explore the association of personality traits with prevalence and course of depressive disorders.

RESULTS

The prevalence of sDS and MDE was 14.04% (95% CI = 17.04-19.08) and 8.54 (95% CI=7.82-9.31), the incidence was 14.30 per 1,000 person-years (95% CI=12.49-16.31) and 4.34 per 1,000 person-years (95% CI=3.46-5.36), and the persistence-recurrence was 35.04 per 1,000 person-years (95% CI=29.00-41.96) and 28.8 per 1,000 person-years (95% CI=20.49-38.14). The gender gap was higher for MDE. Personality traits were differentially associated with the prevalence and course of depressive disorders between men and women.

LIMITATIONS

Because this study used questionnaires to assess depressive disorders and personality traits, information bias could not be ruled out.

CONCLUSIONS

The gender gap was higher for the prevalence and course of the probable MDE. There were more personality traits related with the course of the sDS and they had a major role in the course of the probable MDE in women.

Individual-level determinants of depressive symptoms and associated diseases history in Turkish persons aged 15 years and older: A population-based study

BACKGROUND

Depressive symptoms are associated with both long-lasting and short-term repetitive mood disorders and affect a person's ability to function and lead a rewarding life. In addition to predisposing genetic causes, other factors such as socioeconomic and demographic factors, and chronic diseases have also been reported to associate with depression. In this study, we analyzed the association between history of chronic diseases and presentation of depressive symptoms amongst Turkish individuals.

METHODS

We employed the 2019 Turkey health survey to analyze data of 11,993 individuals aged 15+ years. Depressive symptoms were assessed using the eight-item Patient Health Questionnaire (PHQ-8) coded with a binary measure, a score of <10 as less depressed and >10 as moderate-severely depressed. A number of sociodemographic characteristics were adjusted for in the analyses. Logistic regression models were used to test the association between chronic diseases and depressive symptoms in the study sample.

RESULTS

Our analysis revealed that 6.24% of the 11,993 participants had reported an episode of depressive symptoms. The prevalence of depressive symptoms in men was 1.85% and in women, it was 2.34 times higher. Participants who had previously reported experiencing coronary heart diseases (AOR = 7.79, 95% CI [4.96-12.23]), urinary incontinences (AOR = 7.90, 95% CI [4.93-12.66]), and liver cirrhosis (AOR = 7.50, 95% CI [4.90-10.42]) were approximately eight times likely to have depressive symptoms. Similarly, participants with Alzheimer's disease (AOR = 6.83, 95% CI [5.11-8.42]), kidney problems (AOR = 6.63, 95% CI [4.05-10.85]), and history of allergies (AOR = 6.35, 95% CI [4.28-9.23]) had approximately seven-fold odds of reporting episodes of depressive symptoms. The odds of presenting with depressive symptoms amongst participants aged ≥ 50 were higher than in individuals aged ≤ 49 years.

CONCLUSION

At individual level, gender and general health status were associated with increased odds of depression. Furthermore, a history of any of the chronic diseases, irrespective of age, was a positive predictor of depression in our study population. Our findings could help to serve as a reference for monitoring depression amongst individuals with chronic conditions, planning health resources and developing preventive and screening strategies targeting those exposed to predisposing factors.

Does retirement trigger depressive symptoms? A systematic review and meta-analysis

AIMS

Retirement is a major life transition that may improve or worsen mental health, including depression. Existing studies provide contradictory results. We conducted a systematic review with meta-analysis to quantitatively pool available evidence on the association of retirement and depressive symptoms.

METHODS

We applied PRISMA guidelines to conduct a systematic review and meta-analysis to retrieve, quantitatively pool and critically evaluate the association between retirement and both incident and prevalent depression and to understand better the potential role of individual and contextual-level determinants. Relevant original studies were identified by searching PubMed, Embase, PsycINFO and the Cochrane Library, through 4 March 2021. Subgroup and sensitivity meta-analyses were conducted by gender, study design (longitudinal v. cross-sectional studies), study quality score (QS) and considering studies using validated scales to diagnose depression. Heterogeneity between studies was evaluated with I2 statistics.

RESULTS

Forty-one original studies met our a priori defined inclusion criteria. Meta-analysis on more than half a million subjects (n = 557 111) from 60 datasets suggested a protective effect of retirement on the risk of depression [effect size (ES) = 0.83, 95% confidence interval (CI) = 0.74-0.93], although with high statistical heterogeneity between risk estimates (χ2 = 895.19, df = 59, I2 = 93.41%, p-value < 0.0001). Funnel plot asymmetry and trim and fill method suggested a minor potential publication bias. Results were consistent, confirm their robustness and suggest stronger protective effects when progressively restricting the included studies based on quality criteria: (i) studies with the highest QS [55 datasets, 407 086 subjects, ES = 0.81, 95% CI = 0.71-0.91], (ii) studies with a high QS and using validated assessment tools to diagnose depression (44 datasets, 239 453 subjects, ES = 0.76, 95% CI = 0.65-0.88) and (iii) studies of high quality, using a validated tool and with a longitudinal design (24 datasets, 162 004 subjects, ES = 0.76, 95% CI = 0.64-0.90). We observed a progressive reduction in funnel plot asymmetry. About gender, no statistically significant difference was found (females ES = 0.79, 95% CI = 0.61-1.02 v. men ES = 0.87, 95% CI = 0.68-1.11).

CONCLUSIONS

Pooled data suggested that retirement reduces by nearly 20% the risk of depression; such estimates got stronger when limiting the analysis to longitudinal and high-quality studies, even if results are affected by high heterogeneity.As retirement seems to have an independent and protective effect on mental health and depressive symptoms, greater flexibility in retirement timing should be granted to older workers to reduce their mental burden and avoid the development of severe depression. Retirement may also be identified as a target moment for preventive interventions, particularly primary and secondary prevention, to promote health and wellbeing in older ages, boosting the observed impact.

Epidemiology and costs of depressive disorder in Spain: the EPICO study

Depressive Disorders are the most common psychiatric diagnoses in the general population. To estimate the frequency, costs associated with Depressive Disorders in usual clinical practice, and in the whole Spanish population, a longitudinal, retrospective, observational study was carried out using data from the BIG-PAC database®. Study population: all patients aged ≥ 18 years with a diagnosis of a Depressive Disorder in 2015-2017. Prevalence was computed as the proportion of Depressive Disorder cases in the adult general population, and the incidence rate, as the number of new Depressive Disorder cases diagnosed per 1,000 person-years in the population using health services, during 2015-2017. We collected demographic variables, comorbidity, direct health costs, and indirect costs (temporary and permanent disability). Health costs related to Depressive Disorders were estimated according to the annual resource use rate (resource/patient/year). Indirect costs were calculated according to the human capital method. Using the study data and information from the Spanish National Institute of Statistics, we estimated the cost of Depressive Disorders corresponding to the Spanish adult population, including premature mortality. 69,217 Depressive Disorder patients aged ≥ 18 years who met the inclusion/exclusion criteria were studied (mean age: 56.8 years; female: 71.4%). Prevalence of Depressive Disorders in the general population was 4.73% (95% CI: 4.70-4.76%). Annual incidence rates (2015-2017) were 7.12, 7.35 and 8.02 per 1,000 person-years, respectively. Total costs observed in our Depressive Disorder patients were € 223.9 million (corresponding to a mean of € 3,235.3; mean/patient/year), of which, 18.4% were direct health care costs and 81.6%, non-health indirect costs (18% temporary occupational disability, 63.6% permanent disability). Considering also the cost of premature death, the mean cost per patient/year was € 3,402 and the estimated societal costs of Depressive Disorders in Spain were € 6,145 million. The prevalence and incidence of Depressive Disorders are consistent with other series reviewed. Resource use and total costs (especially non-health costs) were high.

Unemployment associated with major depression disorder and depressive symptoms: a systematic review and meta-analysis

Objectives. This study investigated the association between unemployment and depressive symptoms and major depression disorder worldwide using a systematic review and meta-analysis. Methods. Search time was limited to all articles published in English until December 2020. In the association between unemployment and depression, first, the results of qualified studies were extracted and, then, the results of each study were pooled with each other using the random effects method. Results. The prevalence of depression in the unemployed is 21%, 95% confidence interval (CI) [18, 24%]. This prevalence for depression symptoms is 24%, 95% CI [20, 28%] and for major depressive disorder is 16%, 95% CI [9-24%]. The association between unemployment and depressive symptoms was odds ratio (OR) 2.06, 95% CI [1.85, 2.30] and the association for major depressive disorder was OR 1.88, 95% CI [1.57, 2.25]. The association between unemployment and depression in men was OR 2.27, 95% CI [1.76, 2.93] and in women was OR 1.62, 95% CI [1.40, 1.87]. Conclusions. What is clear from the present study is that unemployment can lead to a higher prevalence of depressive symptoms and major depressive disorder, thereby undermining the mental health of the unemployed.

Socio-demographic, behavioural and psycho-social factors associated with depression in two Russian cities

BACKGROUND

Russia has a high burden of suicide and alcohol-attributable mortality. However there have been few studies of the epidemiology of depression.

METHODS

The study population was 5077 men and women aged 35-69 years from a cross-sectional population based survey in the cities of Arkhangelsk and Novosibirsk (2015-17). Moderate depression was defined as Patient Health Questionnaire-9 (PHQ-9) score≥10. Risk factors considered were socio-demographic factors (age, sex, marital status, living alone, education, employment status, financial constraints); health behaviours (smoking, alcohol use) and psycho-social factors (life events and social support).

RESULTS

After mutual adjustment for all other factors, there was evidence that PHQ-9≥10 was associated with sex (higher in women), financial constraints, employment status, being a non-drinker, problem drinking, smoking, not having enough people to confide in and the number of life events in the past 6 months. Employment status was more strongly associated in men (OR 1.84 (95%CI 1.17, 2.88)) than women (OR 1.15 95% CI 0.86, 1.55). The effect size was particularly striking for financial constraints (odd ratio over 3 times higher in those with not enough money for food and clothes compared to no financial constraints), problem drinking (OR 1.72 (1.12, 2.65) among drinkers with CAGE score of 2 and 2.25 (95% CI 1.42, 3.57) in those with score ≥3 compared to zero) and life events (85% higher odds in those experiencing one life event and over 4 times higher odds in those experiencing 3 or more life events) all of which demonstrated a dose-response with PHQ-9>=10.

LIMITATIONS

The study was cross-sectional in nature therefore temporal relationships could not be assessed.

CONCLUSIONS

We have identified here a range of risk factors for depression among the Russian general population consistent with findings from other populations. The strikingly strong association with financial constraints indicates the importance of social inequality for the burden of depression.

High Depressive Symptoms in Previously Undetected Diabetes - 10-Year Follow-Up Results of the Heinz Nixdorf Recall Study

Aim

To determine the 10-year cumulative incidence of high depressive symptoms in people with diagnosed and, in particular, previously undetected diabetes compared to those without diabetes in a population-based cohort study in Germany.

Materials and Methods

We included 2813 participants (52.9% men, mean age (SD) 58.9 (7.7) years, 7.1% diagnosed diabetes, 5.6% previously undetected diabetes) from the Heinz Nixdorf Recall study. We calculated the odds ratios (OR) with 95% confidence intervals (CI) using multiple logistic regression analyses for diagnosed and undetected diabetes.

Results

Cumulative 10-year incidences (95%-CI) of high depressive symptoms in participants with diagnosed diabetes, previously undetected diabetes, and without diabetes were 15.4% (10.7–21.2), 10.1% (5.9–15.9), and 12.4% (11.1–13.8), respectively. Age-sex-adjusted ORs were 1.51 (1.01–2.28) in participants with diagnosed diabetes compared to those without, 1.40 (0.92–2.12) after adjustment for BMI, physical activity, education, and smoking, and 1.33 (0.87–2.02) after further adjustment for stroke and myocardial infarction. ORs in participants with previously undetected diabetes were 0.96 (0.56–1.65), 0.85 (0.49–1.47), and 0.85 (0.49–1.48), respectively, and lower in men than in women.

Conclusion

As expected, we found an increased odds of developing high depressive symptoms in participants with diagnosed diabetes. However, the odds ratios decreased when we considered comorbidities and other covariates. Interestingly, in participants with previously undetected diabetes, the odds was not increased, even 10 years after detection of diabetes. These results support the hypothesis that high depressive symptoms develop due to diabetes-related burdens and comorbidities and not due to hyperglycemia or hyperinsulinemia.

Prevalence and age patterns of depression in the United Kingdom. A population-based study

METHODS

A representative sample of the UK population (n=17,152) from the European Health Interview Survey of 2014 was included in the analyses. The Patient Health Questionnaire (PHQ-8) was used to assess the prevalence of depressive symptoms and of probable depressive disorder. Prevalence estimates (95%CI) were calculated. The association between prevalence and age was assessed using multivariable multinomial logistic and logistic regression models. All analyses were carried out for the total sample and stratified by sex.

RESULTS

The prevalence of depressive symptoms ranged from 11.3% (10.6-11.9) for mild, to 3.3% (3.0-3.7) for severe symptoms. The prevalence of probable depressive disorder was 7.5% (95%CI: 7.0-8.0). A significantly higher prevalence of probable depressive disorder was found in those aged 45 to 59 years old compared with those aged 16 to 29. For the prevalence of severe depressive symptoms those age differences were even higher: 2.55 times higher (5.38 for men and 1.75 for women).

LIMITATIONS

The cross-sectional design precludes stablishing the direction of the relationship between age and the prevalence.

CONCLUSIONS

The prevalence and age patterns of depression in the UK were described. A peak in the prevalence was identified during middle adulthood. These results could serve as a reference for the monitoring of depression in the UK and the development of preventive strategies, particularly in the high-risk population groups identified.

Prevalence and Associated Factors for Depressive Symptomatology in Chinese Adults During COVID-19 Epidemic

Background: The coronavirus disease 2019 (COVID-19) has been rapidly transmitted worldwide, which contributed to various psychological problems (such as fear, depression, and anxiety) among the general population in China. The purpose of this study is to investigate the prevalence and associated factors of depressive symptoms among Chinese adults.

Methods: A cross-sectional study of Chinese adults was conducted during 17–29 February 2020. Symptoms of depression were assessed using the Center for Epidemiologic Studies Depression scale (CES-D).

Results: A total of 3,399 respondents were included in the analysis. It was observed that 14.2% (481/3,399) of the participants were screened positive for depressive symptoms. In a multivariate logistic regression analysis, older age (OR = 0.98; 95% CI, 0.97–0.99), smoking (OR = 1.57; 95% CI, 1.10–2.26), self-rated health (good: OR = 0.49; 95% CI, 0.37–0.66; fairly: OR = 0.60; 95% CI, 0.45–0.80), having greater support scores (OR = 0.95; 95% CI, 0.94–0.96), knowledge about the main symptom of COVID-19 (very clearly: OR = 0.58; 95% CI, 0.42–0.79; relatively clearly: OR = 0.59; 95% CI, 0.44–0.79), and staying in Wuhan within 3 months before the outbreak of epidemic (OR = 1.78; 95% CI, 1.34–2.38) were associated with depressive symptoms.

Conclusion: A considerable proportion of the general population in China had depressive symptoms during the COVID-19 epidemic. Routine screening and targeted interventions for depression are needed among high-risk depressed individuals during the COVID-19 epidemic.

Changes in lifestyle resulting from confinement due to COVID-19 and depressive symptomatology: A cross-sectional a population-based study

BACKGROUND

The measures adopted to control the spread of the COVID-19 pandemic in several countries included mobility and social restrictions that produced an immediate impact on the lifestyle of their inhabitants.

METHODS

We assessed the association between the consequences of these measures and depressive symptomatology using a population-based sample of 692 individuals aged 18 or over from an ongoing study in the province of Girona (Catalonia, Spain). Participants responded to a telephone-based survey that included questions related to the consequences of confinement and the Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptomatology. Multivariate logistic and linear regressions were used to identify which changes in lifestyle resulting from confinement were independently associated with a possible depression episode and depressive symptomatology.

RESULTS

The prevalence of a possible depressive episode during the confinement was 12.7% (95% CI = 10.3-15.4). An adverse work situation, expected economic distress, self-reported worsening of the mental health and of the dietary pattern, and worries about a relative's potential infection were variables related to an increased risk of having a possible depressive episode. The changes in lifestyle accounted for 32% of the variance of the PHQ-9 score.

CONCLUSION

The findings indicate an association of the job situation, the expected negative economic consequences, the perceived worsening of health and habits, and the worries about COVID-19 infection with depressive symptomatology during the confinement.

Accuracy of Self-Reported Items for the Screening of Depression in the General Population

INTRODUCTION

Though self-reported items (SRD, self-reported depression) are commonly used in health surveys and cohort studies, their metric properties as a depression indicator remain unclear. The aims were to evaluate the measurement properties of SRD using the Patient Health Questionnaire-8 (PHQ-8) as reference and to identify factors related to the agreement between both indicators.

METHODS

Data from the European Health Interview Survey in Spain in 2014/2015 (n = 22,065) were analyzed. Two indicators of depression were considered: SRD based on two items yes/no (positive: both yes), and the PHQ-8 (positive ≥ 10). Socioeconomic factors and use of health services were considered as independent variables. The prevalence of depression, sensitivity, specificity, global agreement, and positive and negative predictive values (PPV and NPV) of SRDs were evaluated using the PHQ-8 as a reference. Logistic regression models were fitted to determine factors associated with the agreement between indicators.

RESULTS

The prevalence of depression was lower when assessed with PHQ-8 (5.9%) than with SRD (7.7%). SRD sensitivity and PPV were moderate-low (52.9% and 40.4%, respectively) whereas global agreement, specificity, and NPV were high (92.7%, 95.1%, and 97.0%, respectively). Positive agreement was associated with marital status, country of birth, employment status, and social class. Negative agreement was related to all independent variables except country of birth.

CONCLUSIONS

SRD items tend to overestimate the current prevalence of depression. While its use in health surveys and cohorts may be appropriate as a quick assessment of possible depression, due to their low sensitivity, its use in clinical contexts is questionable.

Social inequalities in antidepressant treatment outcomes: a systematic review

PURPOSE

To identify, review and synthesize evidence on whether social disadvantage moderates antidepressant treatment outcomes, even when access to treatment is not a consideration.

METHODS

The systematic review was done in accordance with PRIMSA guidelines. An a priori systematic search strategy was used to search databases (MEDLINE, PsychINFO, EMBASE, Global Health and Cochrane Trials Library) from their earliest entries through December 31, 2018. A two-step screening procedure was followed, and all experimental studies of antidepressant treatment in ICD/DSM diagnosed cases of depression were included. Studies with subjects < 18 years or investigating other modalities of treatment were excluded.

RESULTS

Thirteen papers reporting analyses from nine studies met inclusion criteria. There was heterogeneity in sample sizes, target populations, treatment settings, clinical outcomes and definition of SES indices. The primary outcome was the relative effect of socioeconomic status (SES) (as measured by income, employment status and level of education)-on antidepressant treatment outcomes.

CONCLUSIONS

The evidence from this review suggests that lower SES may lead to social inequalities in antidepressant treatment outcomes even in the context of clinical trials in which all participants have equal access to the same high-quality, standardized care. The review calls for more careful consideration of the choice and operationalization of SES indicators, and the need to "employ sampling methods that ensure ample representation of individuals from a wide range of social worlds". The review concludes with tentative suggestions about how to reduce social inequalities in antidepressant treatment outcomes at the level of individuals and populations.

How sex differences in schooling and income contribute to sex differences in depression, anxiety and common mental disorders: The mental health sex-gap in a birth cohort from Brazil

BACKGROUND

Reasons for the higher rates of depression, anxiety and common mental disorders among women are unclear. We investigated the mediating effect of schooling and personal income and the effect modification of maternal schooling and family income at baseline.

METHODS

In 1982, the maternity hospitals of Pelotas (Southern Brazil) were daily visits and those livebirths whose family lived in the urban area of the city were examined and their mothers interviewed. At 30 years, the presence of major depression (MD) and generalized anxiety disorder (GAD) was assessed using the Mini-International Psychiatric Interview, and common mental disorders (CMD) with the self-rated questionnaire. We used Mantel-Haenszel test to assess effect modification and a counterfactual framework using inverse probability weights (IPW) and G-computation to analyze mediation.

RESULTS

Income at 30 years captured part of the association of sex with MD (16.5%), GAD (14.2%), and CMD (18.0%). Schooling at 30 years was higher in women (p<0.001), and therefore inversely mediated the association with MD (-5.4%), GAD (-4.8%), and CMD (-6.7%). If we fixed the mediator to earning more than 3 minimum salaries, the effect of sex, was reduced in 64.9%, 56.7% and 31.4%, for MD, GAD and CMD, respectively, and 62.4%, 13.6% and 23.8%, if fixed to 12 or more years of schooling.

LIMITATIONS

We were not able to evaluate mental health and socioeconomic changes, or assess a bidirectional effect CONCLUSION: Personal income and schooling at 30 years, are important mediators and effect modifiers of the association between sex and MD, GAD, and CMD.

Relationship Between Depression and the Use of Mobile Technologies and Social Media Among Adolescents: Umbrella Review

BACKGROUND

Despite the relevance of mobile technologies and social media (MTSM) for adolescents, their association with depressive disorders in this population remains unclear. While there are previous reviews that have identified the use of MTSM as a risk factor for developing depression, other reviews have indicated their possible preventive effect.

OBJECTIVE

The aim of this review was to synthesize the current evidence on the association between MTSM use and the development or prevention of depressive disorders in adolescents.

METHODS

An umbrella review was conducted using information published up to June 2019 from PubMed/MEDLINE, PsycINFO, Web of Science, and The Cochrane Library. Systematic reviews focusing on the adolescent population (up to 20 years old) and depression and its potential relationship with MTSM use were included. Screening of titles, abstracts, and full texts was performed. After selecting the reviews and given the heterogeneity of the outcome variables and exposures, a narrative synthesis of the results was carried out.

RESULTS

The search retrieved 338 documents, from which 7 systematic reviews (3 meta-analyses) were selected for data extraction. There were 11-70 studies and 5582-46,015 participants included in the 7 reviews. All reviews included quantitative research, and 2 reviews also included qualitative studies. A statistically significant association between social media and developing depressive symptoms was reported in 2 reviews, while 5 reviews reported mixed results.

CONCLUSIONS

Excessive social comparison and personal involvement when using MTSM could be associated with the development of depressive symptomatology. Nevertheless, MTSM might promote social support and even become a point of assistance for people with depression. Due to the mixed results, prospective research could be valuable for providing stronger evidence.

Antidepressant Activity of Euparin: Involvement of Monoaminergic Neurotransmitters and SAT1/NMDAR2B/BDNF Signal Pathway

Depression is the most significant risk factor for suicide, yet the causes are complex and disease mechanism remains unclear. The incidence and disability rate of depression are very high and the efficacy of some traditional antidepressants is not completely satisfactory. Recently, some studies have found that benzofurans have anti-oxidation and anti-monoamine oxidase properties, which are related to depression. Euparin is a monomer compound of benzofuran, previous work by our team found that it improves the behavior of depressed mice. However, additional antidepressant effects and mechanisms of Euparin have not been reported. In this study, the Chronic Unpredictable Mild Stress (CUMS) model of mice was used to further investigate the effect and mechanism of Euparin on depression. Results showed that Euparin (8, 16 and 32 mg/kg) reduced depression-like behavior in mice compared with the model group. Meanwhile, all doses of Euparin were found to increase the contents of monoamine neurotransmitter and decrease monoamine oxidase and reactive oxygen species (ROS) levels in brain of depression mice. Additionally, Euparin restored CUMS-induced decrease of Spermidine/Spermine N1-Acetyltransferase 1 (SAT1), N-methyl-D-aspartate receptor subtype 2B (NMDAR2B) and brain derived neurotrophic factor (BDNF) expression. These findings demonstrate that Euparin has antidepressant properties, and its mechanism involves the SAT1/NMDAR2B/BDNF signaling pathway.

Comparing eating behaviours, and symptoms of depression and anxiety between Spain and Greece during the COVID-19 outbreak: Cross-sectional analysis of two different confinement strategies

OBJECTIVE

We compared eating behaviours, and depressive and anxiety symptoms in two countries with different confinement strictness strategies and different levels of COVID-19 pandemic.

METHOD

A web-based cross-sectional survey was administered during and shortly after the COVID-19 related lockdown in Spain and Greece. Multivariable linear regression analyses were performed to identify country differences associated with eating behaviour, and symptoms of depression and anxiety.

RESULTS

This study included 1,002 responders in Spain and 839 in Greece. The mean ± SD of restraint, emotional and external eating was 2.5 ± 0.79, 2.1 ± 0.81 and 2.6 ± 0.65 in Spain, whereas 2.7 ± 0.85, 2.3 ± 0.99 and 2.9 ± 0.74 in Greece. Spanish participants had lower average scores of restraint and external eating compared to Greek participants (p < .001), but no difference was seen for emotional eating. In Spain, 13.6%, and 12.3% of the survey respondents reported moderate to severe depressive and anxiety symptoms, respectively, whereas in Greece the respective values were 18.8 and 13.2%. After adjusting for several risk factors, a higher prevalence of anxiety symptoms was observed in Spain compared to Greece (p = .001), but no difference was seen for depressive symptoms.

CONCLUSIONS

This study demonstrated high scores of inappropriate eating behaviours and a high frequency of depressive and anxiety symptoms in two Mediterranean countries during the COVID-19 outbreak. Our findings revealed that compared to Greek participants, Spanish participants, that faced more severe COVID-19 pandemic and stricter lockdown measures, were associated with lower restraint and external eating and increased anxiety symptoms, but not with depressive symptoms or emotional eating.

Economic Hardship, Ocular Complications, and Poor Self-reported Visual Function are Predictors of Mental Problems in Patients with Uveitis

PURPOSE

To characterize the quality of life and mental health status of patients with uveitis and investigate predictors of psychological problems.

METHODS

A total of 245 patients and 105 controls were enrolled in this cross-sectional study. Quality of life, psychological status, socio-demographic and clinical data were obtained from questionnaires and medical records. Multivariate regression analyses and Receiver Operating Characteristic (ROC) were applied to obtain the model predicting psychological problems of patients.

RESULTS

Of 245 patients, 16.7% and 26.5% (P < .0001) screened positive for anxiety and depression, respectively. The model predicting anxiety was comprised of low annual household income and poor self-reported visual function (P = .029, P < .0001, respectively), with an AUC of ROC of 0.744. The model predicting depression was comprised of poor self-reported visual function and ocular complications (P < .0001, P = .012, respectively), with an AUC of 0.78.

CONCLUSIONS

Economic hardship, ocular complications, and poor self-reported visual function are predictors of mental problems in patients with uveitis.

Characteristics, management and medical costs of patients with depressive disorders admitted in primary and specialised care centres in Spain between 2011 and 2016

More than 10% of the population will suffer from a depressive disorder during their lifetime, which represents a substantial economic and social burden for healthcare systems and societies. Nonetheless, studies suggest that an important percentage of patients receive inadequate treatment. This study aimed to evaluate the characteristics of patients with depressive disorder in Spain, the current management of these disorders and the costs of specialised care. A retrospective multicentre study was designed including admission records from patients admitted due to a depressive disorder between 2011 and 2016, extracted from a Spanish claims database. The records obtained corresponded to 306,917 patients attended in primary care centres and 27,963 patients registered in specialised care settings. The number of admissions per patient progressively increased over the study period. A correlation was found with socioeconomic factors as the unemployment rate, increased versus the general population (OR = 1.41; 95%CI = 1.38–1.43). Equally, comorbid conditions as hypertension, disorders of lipoid metabolism, diabetes type II, other mood disorders and thyroid disorders were associated with severe presentations of a depressive disorder. In terms of disease management, patients with a severe disorder were the majority in specialised care settings, and most admissions were urgent and inpatient admissions. The use of both electroconvulsive therapy and drug therapy increased during the study period. In terms of costs, specialised care represented an annual cost of €9,654 per patient, and a total annual cost of €44,839,196. Altogether, improved detection and treatment protocols could contribute in reducing the burden that depressive disorders represent for the Spanish National Healthcare System.

How individuals change during internet-based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback

BACKGROUND

Standardized and individualized Internet-based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and their characteristics is vital for improving response.

METHODS

Mildly to moderately depressed individuals according to self-report (N = 1,089) were randomized to receive module-wise feedback that was either standardized or individualized by a counselor within an otherwise identical cognitive-behavioral IBI for depression (seven modules over six weeks). Depressive symptoms were assessed at baseline and before each module (Patient Health Questionnaire; PHQ-9). Other individual characteristics (self-report) and the presence of an affective disorder (structured clinical interview) were assessed at baseline. Growth mixture modeling was used to identify and compare subgroups with discernable change patterns and associated client variables across conditions.

RESULTS

Model comparisons suggest equal change patterns in both conditions. Across conditions, a group of immediate (62.5%) and a group of delayed improvers (37.5%) were identified. Immediate improvers decreased their PHQ-9 score by 5.5 points from pre to post, with 33% of improvement occurring before treatment commenced. Delayed improvers were characterized by stable symptom severity during the first two modules and smaller overall symptom decrease (3.4 points). Higher treatment expectations, a current major depressive disorder (interview), and lower social support were associated with delayed improvement.

CONCLUSION

Internet-based interventions for depression with individualized and with standardized feedback lead to comparable patterns of change. Expectation management and bolstering of social support are promising strategies for individuals that are at risk for delayed improvement.

The association between childhood physical disability or long-term health problems and depression among adolescents in China: Mediating effect of childhood maltreatment

BACKGROUND

Increasing evidence has suggested that childhood maltreatment might mediate the association between physical disability or chronic illness and depression among adolescents. We sought to identify whether childhood maltreatment mediated the relationship between physical disability or long-term health problems and depression in Chinese adolescents.

METHOD

A total of 5726 middle and high school students aged 12-18 years old were chosen to participant in this study. Participants completed the self-reported questionnaire on childhood physical or long-term health problems, childhood maltreatment and depression.

RESULTS

The results showed that there were significant differences of childhood maltreatment, depression between adolescents with childhood physical disability or long-term health problems and those without. Physical abuse, sexual abuse, emotional abuse, physical neglect and emotional neglect mediated the association between childhood physical disability or long-term health problems and depression accounting for 8.7%, 20.6%, 14.5%, 16.3% and 14.7% of the total effect of physical disability or long-term health problems on depression in each single mediator model respectively, whereas the indirect effect of emotional abuse and sexual abuse in the association between physical disability or long-term health problems and depression explained 15.6% and 8.0% of the total effect in a multiple mediation model respectively.

CONCLUSION

Childhood physical disability or long-term health problems was associated with the increased risk for depression, and the associations between childhood physical disability and long-term health problems and depression were partially mediated by childhood maltreatment experiences. Childhood maltreatment exposure should be considered to prevent depression among adolescents with childhood physical disability or long-term health problems.

Psychological Distress, Family Support and Employment Status in First-Year University Students in Spain

Mental disorders are consistently and closely related to psychological distress. At the start of the university period, the relationship between a student's psychological distress, family support, and employment status is not well-known. The aims of this study were: To determine the prevalence of psychological distress in first-year university students and to analyze its relationship with family support and the student's employment status. Data from 4166 first-year university students from nine universities across Spain were considered. The prevalence of psychological distress was obtained using the GHQ-12, a valid and reliable screening tool to detect poor mental health. To analyze the relationship between psychological distress, family support, and employment status, logistic regression models were fitted. Regarding the prevalence found, 46.9% of men and 54.2% of women had psychological distress. In both genders, psychological distress levels increased as family support decreased. Among women, psychological distress was associated with their employment status. The prevalence of psychological distress among first-year university students in Spain is high. In addition, family support, and employment status for women, could be factors to take into account when developing psychological distress prevention strategies at the beginning of the university period.

Ambient ozone exposure and depressive symptoms in adolescents: Results of the GINIplus and LISA birth cohorts

BACKGROUND

Depression has been associated with air pollution, as reported by animal and epidemiological studies. However, the relationship between ozone exposure and depression, especially among adolescents, is scarcely investigated.

OBJECTIVES

The study aimed to analyze associations between ozone exposure and depressive symptoms among German adolescents.

METHODS

The analyses were based on 2827 adolescents aged 15 from Munich and Wesel areas of the GINIplus and LISA birth cohorts. The depressive symptoms were assessed by the Depression Screener for Teenagers (DesTeen). Long-term ozone exposure was estimated by optimal interpolation techniques and assigned to home addresses. Nitrogen dioxide (NO₂) and particulate matter with an aerodynamic diameter < 10 µm (PM₁₀) were assessed by land use regression models. For short-term exposure, maximum 8-h averages of ozone and daily average concentrations of NO₂ and PM₁₀ from the background monitoring sites 0 (same day), 1, 2, 3, and 7 days prior to depressive symptoms assessment were adopted. The cross-sectional analyses were conducted by adjusted logistic regression models controlling for residuals of NO₂ and PM₁₀, and covariates identified by a directed acyclic graph.

RESULTS

The prevalence of depressive symptoms ranged from 10.9% to 13.8% depending on regions. Overall, long- and short-term exposure to ozone were not statistically significantly associated with depressive symptoms. However, subgroup analysis showed inconsistent significant protective associations for short-term exposure to ozone lag 0 day (same day) and depressive symptoms in Wesel (OR = 0.76, 95% CI: (0.59, 0.98)), but not in Munich (OR = 1.00, 95% CI: (0.83, 1.21)).

CONCLUSIONS

Our study does not support the hypothesis that ambient ozone exposure might increase the prevalence of depressive symptoms in German adolescents. Nevertheless, due to a lack of similar studies, these results need to be replicated in other samples.

Prevalence of common mental disorders in widowhood: A systematic review and meta-analysis

BACKGROUND

Widowed people have a high risk of common mental disorders, however no summary estimates of the prevalences exist. The aim of this study was to conduct a systematic review and meta-analysis of the prevalence of common mental disorders in widowed people in the community.

METHODS

MEDLINE, Embase and PsycInfo were searched for papers reporting on prevalence of common mental disorders and widowhood. Eligible studies were included in random effects meta-analyses of the prevalence of depression and anxiety disorders. Subgroup analyses were performed on method of assessment of depression and age and sex.

RESULTS

The literature search identified 13,781 titles of which 42 were eligible for meta-analysis. The pooled prevalence of depression in studies using a screening scale was 40.6% (33.6%-47.6%) (n = 30). For studies using full diagnostic criteria the pooled prevalence of depression was 19.2% (13.4%-25.0%) (n = 12). Subgroup analyses of age (≥ or < 65) and sex did not show any differences regarding depression. Five studies reported the prevalence of anxiety disorders. The pooled prevalence estimate was 26.9% (8.1%-45.7%).

LIMITATIONS

The prevalence estimates in this study are summary estimates of prevalences from existing literature. Although the reporting bias assessment showed no evidence, there could be some reporting bias, as studies might only present results if there is a high prevalence.

CONCLUSIONS

Widowed people have a high prevalence of depression and anxiety disorders. The high prevalence of depression was independent of age and sex. The study identifies a population group at high risk needing special attention in clinical practice.

Can Gender and Age Impact on Response Pattern of Depressive Symptoms Among College Students? A Differential Item Functioning Analysis

Background: Self-reported depressive complaints among college students might indicate different degrees of severity of depressive states. Through the framework of item response theory, we aim to describe the pattern of responses to items of the Beck Depression Inventory-II (BDI-II), in terms of endorsement probability and discrimination along the continuum of depression. Potential differential item functioning of the scale items of the BDI-II is investigated, by gender and age, to compare across sub-groups of students. Methods: The 21-item BDI-II was cross-sectionally administered to a representative sample of 12,677 Brazilian college students. Reliability was evaluated based on Cronbach's alpha coefficient. Severity (b _i ) and discrimination (a) parameters of each BDI-II items were calculated through the graded response model. The influence of gender and age were tested for differential item functioning (DIF) within the item response theory-based approach. Results: The BDI-II presented good reliability (α = 0.91). Women and younger students significantly presented a higher likelihood of depression (cut-off > 13) than men and older counterparts. In general, participants endorsed more easily cognitive-somatic items than affective items of the scale. "Guilty feelings," "suicidal thoughts," and "loss of interest in sex" were the items that most likely indicated depression severity (b ≥ 3.60). However, all BDI-II items showed moderate-to-high discrimination (a ≥ 1.32) for depressive state. While two items were flagged for DIF, "crying" and "loss of interest in sex," respectively for gender and age, the global weight of these items on the total score was negligible. Conclusions: Although respondents' gender and age might present influence on response pattern of depressive symptoms, the measures of self-reported symptoms have not inflated severity scores. These findings provide further support to the validity of using BDI-II for assessing depression in academic contexts and highlight the value of considering gender- and age-related common symptoms of depression.