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We sought to evaluate the capacity of the Edinburgh Postnatal Depression Scale (EPDS) in discriminating mental disorders other than depression in pregnant women in northern Mexico. Three hundred pregnant women attending prenatal consultations in a public hospital in Durango City, Mexico submitted a validated EPDS and were examined for mental disorders other than depression using the Diagnostic and Statistical Manual of Mental Disorders - 4th Ed. (DSM-IV) criteria. Sensitivity and specificity of cut-off points of the EPDS, and positive and negative predictive values were calculated. Of the 300 pregnant women studied, 21 had mental disorders other than depression by the DSM-IV criteria. The best EPDS score for screening mental disorders other than depression was 8/9. This threshold showed a sensitivity of 52.4%, a specificity of 67.0%, a positive predictive value of 11.5%, a negative predictive value of 95.4%, and an area under the curve of 0.643 (95% confidence interval: 0.52-0.76). The EPDS can be considered for screening mental disorders other than depression in Mexican pregnant women whenever a cut-off score of 8/9 is used. However, the tool showed small power to separate pregnant women with and without mental disorders other than depression.

The purpose of this paper is to discuss two recent studies on depression in members of ethnic minorities, one based in the UK with older people, and one in the USA. The aim was to examine what might lead to depression in these groups, and what might protect people from it.

The UK-based study examined depression and physical health in older members of the two largest ethnic minority groups in the UK: African Caribbean and South Asian. The US-based study examined whether a sense of belonging to the population group African Americans protected people from depression, as one social theory might predict, or whether racism prevented this protection, as predicted by another theory.

In London-based older South Asians, depression was explained by their poorer physical health compared to white Europeans. In older people of black Caribbean origin, depression was linked to their social disadvantage. The researchers did not measure people’s experience of discrimination, and other research suggests this can explain both physical illness and depression. The US-based study reported better well-being for people who identified with other African Americans, but not if they also felt negative about African Americans. However, these were weak links, so other things may affect well-being more, such as day-to-day relationships and a range of group memberships.

The London-based study was new in studying depression in older people belonging to the two largest ethnic minority groups in the UK and in white Europeans. The US study tested two competing social theories with different predictions about depression in relation to belonging to an ethnic minority. Both studies highlight the need for more research on discrimination and how to reduce it and its negative effects on both mental and physical health.

Bipolar and depression disorders are some of the most common mental health disorders affecting millions of people in low-and middle-income countries, including those in Africa. These disorders are therefore major contributors to the burden of diseases and disability. While an enhancement in income is seen as a major approach towards reducing the burden of these disorders, empirical evidence to support this view in the African context is lacking. This study therefore aims to examine the effect of per capita income growth on bipolar and depression disorders across African countries.

The study uses data from secondary sources comprising 42 African countries over the period, 2002–2019, to achieve its objective. The prevalence of bipolar and major depressive disorders (depression) are used as the dependent variables, while per capita income growth is used as the main independent variable. The system Generalised Method of Moments regression is used as the estimation technique.

In the baseline, the authors find per capita income growth to be associated with a reduction in the prevalence of bipolar (coefficient: −0.001, p < 0.01) and depression (coefficient: −0.001, p < 0.1) in the short-term. Similarly, in the long-term, per capita income growth is found to have negative association with the prevalence of bipolar (coefficient: −0.059, p < 0.01) and depression (coefficient: −0.035, p < 0.1). The results are similar after robustness checks.

This study attempts at providing the first empirical evidence of the effect of per capita income growth on bipolar and depression disorders across several African countries.

The most common reaction to an acute physical illness is anxiety, which may be followed by depression. In patients with chronic diseases, the prevalence of anxiety disorders and depression is almost twice as high as in other diseases. This study aims to extract prominent components in the design of treatment spaces on reducing hospitalized patients’ depression from both experts and patients/users’ point of views. A final model is also presented based on the findings.

This research used an exploratory mixed method. The effective components were extracted through the administration of two Likert-scale researcher-made questionnaires in two phases. Q factor analysis was conducted to reach the components. A total of 205 patients were admitted to Namazi Hospital in Shiraz, and 20 architecture and psychology experts participated in the survey. Final modeling of the data was done through path analysis.

Six factors were found to be effective by experts in reducing depression in therapeutic spaces: nature-oriented space, targeted social space, diverse space, visual comfort, logical process and safe space. On the part of patients, seven components were deemed to be effective: visual perception, naturalism, functionalism, physical security, logical process, psychological safety and diversity. Also, four main cycles were extracted from the final model with the direct effect of diversity and the other five cycles were mediated by naturalism.

A total of 15 interviews with architects and psychologists, who were available at the time of the study, were conducted in January 2018. The only general question during interviews was “In your opinion, what factors are effective in reducing the level of depression of patients in the design of treatment spaces?” This may have limited the range of factors that could be surveyed in the study. After collecting the effective factors from the aforementioned expert’s points of view, the questionnaire of experts was designed (Appendix). The expert questionnaires were distributed and edited in two stages in January 2019 among 20 architect experts who were available at the time of the study. The one-year interval between designing and administering the questionnaires occurred because of the limitations posed by the COVID-19 pandemic situation. However, the interval did not pose methodological obstacles for the study.

Evidence-based investigation of the effectiveness of proper design components of therapeutic spaces in reducing the symptoms of patients with chronic secondary depression has received little attention in the literature. Using a “conceptual model,” the present study brought the issue into its focus so as to find effective components in the design of treatment spaces that can alleviate depression symptoms in chronically hospitalized patients.

As convenience and anonymity, people with mental illness are increasingly willing to communicate and share information through social media platforms to receive emotional and spiritual support. The purpose of this paper is to identify the degree of depression based on people's behavioral patterns and discussion content on the Internet.

Based on the previous studies on depression, the severity of depression is divided into four categories: no significant depressive symptoms, mild MDD, moderate MDD and severe MDD, and defined each of them. Next, in order to automatically identify the severity, the authors proposed social media digital cues to identify the severity of depression, which include textual lexical features, depressive language features and social behavioral features. Finally, the authors evaluate a system that is developed based on social media digital cues in the experiment using social media data.

The social media digital cues including textual lexical features, depressive language features and social behavioral features (F1, F2 and F3) is the relatively best one to classify four different levels of depression.

This paper innovatively proposes a social media data-based framework (SMDF) to identify and predict different degrees of depression through social media digital cues and evaluates the accuracy of the detection through social media data, providing useful attempts for the identification and intervention of depression.

This study aims to examine the relationship between objective and subjective aspects of financial well-being, the role of family financial support and depression symptoms of Chinese older adults.

This study used two waves (2015 and 2018) of the Harmonized China Health and Retirement Longitudinal Study. Two financial ratios: the expenditure-to-income ratio and the financial assets ratio, were used to measure the objective aspect of financial well-being. Perceived money management difficulty was employed to measure the subjective aspect of financial well-being. Depression symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D) score. Three analytical models, including an ordinary least squares (OLS) model, an OLS model controlling for lagged depression and a random effects model using panel data, were used to examine the relationships between the objective and subject aspects of financial well-being and depression.

The results from the three models showed consistent relationships: the expenditure-to-income ratio was a positive contributor, while the financial assets ratio was a negative contributor to depression of older adults in China. The robustness check using binary-coded financial ratio thresholds showed that reaching the suggested thresholds was negatively associated with depression. Perceived money management difficulty contributed positively to depression. The robustness check using the fixed effects model showed no significance of the two ratios, while perceived money management difficulty was positively associated with depression. The insignificance might be due to data limitation (limited waves or rare changes across waves).

The findings indicate that both objective and subjective financial well-being matters in relation to depression symptoms and, therefore, to the overall mental health of the Chinese elderly. Developments in public policies are needed to promote accessible financial services, assistance programs, mental health services and facilities for the older population in China.

Depression is one of the most overlooked psychiatric disorders among middle-aged and elderly men. Saffron (Crocus sativus L.) stigmas are a favorite and common spice that is used as an antidepressant, an anti-inflammatory and a sexual stimulant. This systematic review aimed to provide a comprehensive survey of the effects of saffron on depression in middle-aged and elderly men.

The authors searched Web of Science, PubMed, ProQuest, Cochrane, Science Direct, Scopus and Google Scholar databases to gather any relevant studies published from 1980 to September 2022. This review included studies that examined the relationship between depression and testosterone concentration (four studies) or saffron’s effects on testosterone and depression (six studies).

Observational research showed an association between testosterone and depression in middle-aged and elderly men. Furthermore, animal studies have found that saffron increased testosterone levels and decreased depression in males. There is evidence that testosterone may contribute to the mood. Besides its antioxidant and anti-inflammatory properties, this study proposed scientific mechanisms that saffron may also play a protective role against depression through its influence on testosterone, in middle-aged and elderly men. The general use of saffron at high doses or for prolonged periods may cause side effects; therefore, it is important to consult a health-care professional before the recommended dosage and duration of saffron supplementation, especially if a person has any underlying health conditions or is taking medications.

This study provides researchers with an additional perspective for conducting clinical trials on the use of saffron to enhance the mood of elderly men with testosterone deficiency.

This study aims to investigate the effect of differentiated empowering leadership on employees’ depression. Using the behavioral theory of depression, this study further explores the simultaneous moderation of gender and employees’ envy on the relationship between such leadership and employees’ depression.

Data were collected using two surveys conducted with a time lag of one week. In Time 1, data on differentiated empowering leadership and employees’ envy were collected. After a week, data on employees’ depression were collected. Model testing was conducted using data on a sample of 420 employees from 87 departments in 27 service sector organizations in Pakistan. Hypotheses were tested using the structural equation modeling technique in Mplus.

Results indicate that perceived differentiated empowering leadership positively affects employees’ depression. In addition, this positive effect is further moderated by employees’ envy and gender simultaneously, such that this effect is weakest among the male individuals who feel low envy, whereas, for highly envious females, this effect is strongest.

To the best of the authors’ knowledge, this is the first study to examine the effect of differentiated empowering leadership on employees’ depression along with the moderation of employees’ envy and gender. Furthermore, this study provides some policy implications based on its findings to decrease employees’ depression.

Depression has become a major health concern, particularly in developing countries. This disorder is highly prevalent among certain vulnerable populations, such as prisoners. In Peru, prisons are overcrowded, and the health of prisoners is neglected. Thus, this study aims to estimate the prevalence of depression diagnosed during incarceration in male inmates from all Peruvian prisons and assess its associated factors.

A cross-sectional study was conducted based on the secondary data analysis of the National Census of Prison Population 2016 in Peru. This study included records of prisoners who reported whether they were diagnosed with depression by a health-care professional after admission into the prisons. Descriptive, bivariate and multivariable analyses were performed.

Of the 63,312 prisoners included in this study, 1,007 reported an in-prison diagnosis of depression by a health-care professional, which represents a prevalence of 1.59%. Substance use disorder (adjusted prevalence ratio [aPR] 3.10; 95% confidence interval [CI]: 1.91–5.03), hypertension (aPR 7.20; 95% CI: 6.28–8.24) and previous discrimination (aPR 1.97; 95% CI: 1.62–2.40) were strongly associated with depression, even when adjusting for multiple confounders. Other directly associated variables were, for example, violence during childhood, infrequent visits in prison and diabetes.

The right of prisoners to adequate health care is being neglected in Peru. Mental health is a cornerstone of health quality. Acknowledging which factors are associated with depression in prison is important to implement strategies to improve the mental health of prisoners.

Afghan migrants are at an increased risk of mental disorders due to various political, economic and security-associated stressors. COVID-19 has brought extra concerns for this group of migrants around the world. Few studies have examined how the perception of the host society and perceived stress are associated with the mental health of migrants during the COVD-19 pandemic. This study aims to examine the role of perceived justice, freedom and the burden of COVID-19 on experienced stress and depression among Afghan migrants in Iran.

N = 497 participants representing the Afghan migrant community between 15 and 80 years old participated in the study. The target population was recruited from Afghan migrants residing in Kerman city in Iran, the capital of one of the provinces with the highest number of Afghan migrants in Iran. The participants answered questions on depression, positive mental health and a series of stressors such as perceived justice, freedom and the burden of COVID-19. Data was collected in November and December 2021 during the third wave of the COVID-19 pandemic in Iran.

The authors found a significant effect of the burden of the COVID-19 pandemic on migrants’ perceived stress and depression. On the other hand, perceptions of justice and freedom in the host country can significantly reduce stress and depression. The results show that stress mediates the effect of justice, freedom and the burden of COVID-19 on depression. In addition, positive mental health moderates the impact of stress on depression.

The current study is one of the pioneering studies that examines the determinants of Afghan migrants’ mental disorders during the COVID-19 pandemic in Iran.