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Purpose: In recent decades, it has been a burgeoning trend in South Korea that older women are more actively engaged in grandparenting (i.e., caring for grandchildren) as they are living longer and healthier lives. The present study examines how grandparenting is associated with the mental health of grandmothers.

Design/methodology/approach: Drawing from the Korean Longitudinal Study of Aging (2008–2012, N = 2,814), we used growth curve models to estimate the trajectories of grandmothers’ depressive symptoms by grandparenting type.

Findings: The results show that caregiving grandmothers in multigenerational households experience a decline in depressive symptoms with age, despite having a higher mean level of depressive symptoms than non-caregiving grandmothers at age 47; whereas the non-caregiving grandmothers experience an increase in depressive symptoms with age. Grandmothers who provide non-coresident grandparenting (i.e., babysitting) are not significantly different from non-caregiving grandmothers in the rate of increase in depressive symptoms.

Originality/value: Grandparenting in multigenerational households may have a beneficial effect on older women’s mental health over time in South Korea. This finding is robust after we control for socioeconomic status, health behaviors, and social support.

This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.

This study aimed to investigate whether optimism buffers an indirect relationship between COVID stress and depressive symptoms via poor sleep quality among Vietnamese high school students.

Six hundred and eighty-five participants completed the Coronavirus Stress Measure, the Life Orientation Test-Revised, the Pittsburgh Sleep Quality Index and the Depression, Anxiety and Stress Scales. Process Macro 3.5 for SPSS (Model 4 and Model 14) was used to analyze the mediating effect and moderated mediation effect.

The results indicated that COVID stress was associated with an increase in depressive symptoms via the indirect pathway of poor sleep quality. Furthermore, optimism moderated the indirect relationship between COVID stress and depressive symptoms through poor sleep quality among Vietnamese students.

The study's findings may serve as a basis for the development of depression prevention interventions for students with high COVID stress in the COVID-19 pandemic.

Past studies demonstrated the efficacy of integrated cognitive-behavioral therapy (CBT) for substance use disorder (SUD) and intimate partner violence (IPV) as well as high rates of depressive symptoms in this population. However, little is known about how depressive symptoms impact treatment outcomes. The authors hypothesized that integrated CBT, but not standard drug counseling (DC), would buffer the negative effects of depressive symptoms on treatment response.

A secondary analysis of a randomized trial compared men assigned to 12 weeks of integrated CBT for SUD and IPV (n = 29) to those in DC (n = 34).

Most (60%) of the sample reported any depressive symptoms. Controlling for baseline IPV, reporting any depressive symptoms was associated with more positive cocaine screens during treatment. Among men with depressive symptoms, integrated CBT but not DC was associated with fewer positive cocaine screens. Controlling for baseline alcohol variables, integrated CBT and depressive symptoms were each associated with less aggression outside of intimate relationships (family, strangers, etc.) during treatment. For men without depressive symptoms, integrated CBT was associated with less non-IPV aggression compared to DC. Effects were not significant for other substances, IPV, or at follow-up.

This study found some evidence for differential response to CBT by depressive symptoms on cocaine and aggression at end of treatment, which did not persist three months later. Future studies should explore mechanisms of integrated CBT for SUD and IPV, including mood regulation, on depressive symptoms in real-world samples.

Integrated CBT buffered depressive symptoms’ impact on cocaine use, yet only improved non-IPV aggression in men without depressive symptoms.

Although integrated CBT’s efficacy for improving SUD and IPV has been established, moderators of treatment response have not been investigated.

The purpose of the paper is to extend prior research on the psychological effects of the Deepwater Horizon oil spill disaster by developing and testing a conceptual model in which exposure to the oil spill through clean-up activity, physical symptoms, worry about the impact of the oil spill on health, and the disruption of the gulf/ocean-related lifestyle were hypothesized as predictors of depressive symptoms.

The analysis included a randomly selected sample of 354 subjects from the three most Southern Mississippi counties. The Center for Epidemiologic Studies Depression Scale was used to measure depressive symptoms.

Results indicated that physical symptoms since the oil spill were related to depressive symptoms directly and indirectly through worry about the impact of the oil spill on health and the disruption of the gulf/ocean-related lifestyle. Worry about the impact of the oil spill on health was related to depressive symptoms directly and indirectly through the disruption of the gulf/ocean-related lifestyle.

Study results highlight that uncertainty and worry about the impact of the disaster played a critical role in understanding the psychological effects of the oil spill disaster, especially among coastal residents whose lifestyles were bound up with the gulf/ocean.

The increase of videogame use has raised concerns regarding mental health of gamers (e.g. social isolation, depression); however, online gaming may offer the benefit of social connectivity. Many games provide ways for people to meet and interact, providing social opportunities difficult to come by for some young adults. One way to investigate social connection is through social network analysis, which explores the influence of connections on behaviors. The purpose of this paper is to analyze factors related to social connections within an online gaming community, with an emphasis on the influence of social support and depressive symptoms on network ties.

All members of an online gaming site were asked to report demographics, site use, depressive symptoms, “in-real-life” (IRL) social support, and online social support. Members were also asked to nominate those in their gaming network with whom they spoke to about important life matters. Moran’s I determined the spatial autocorrelation of depressive symptoms and IRL support within the network. Exponential random graph modeling determined factors significantly associated with tie presence between members.

Members (n=37) were significantly more likely to speak to other members about important life matters if they reported more site hours, more depressive symptoms, and less IRL support. Depressive symptoms and IRL support were not significantly spatially autocorrelated within this network.

Results suggest members may be filling an IRL social support deficit with friends they have met online. Additionally, members who reported more depressive symptoms may be seeking help from informal online connections through online gaming.

In this manuscript, the authors argue that those suffering from depressive symptoms are prone to experiencing bouts of unproductivity. The authors argue further that such conditions promote instances of self-disclosure regarding related symptoms in the interest of procuring workplace support, i.e. the effect of depressive symptomology on workplace support is mediated by both unproductivity and self-disclosure, in turn.

Two different online investigations were implemented to assess the accuracy of this prediction. Moreover, two different samples of organizational employees from numerous organizations were procured, such that one sample contained diagnosed individuals, whereas the other contained undiagnosed individuals (total N = 756). In general, the main analyses consisted of confirmatory factor analysis and path analysis.

Substantial statistical support was obtained for the authors' four-variable path model. Specifically, across two different investigations, a model was found in which those with depressive symptoms were unproductive, which prompted self-disclosure and thus subsequent manifestations of workplace support. Moreover, this was generally true for both diagnosed and undiagnosed individuals. Correlation coefficients and model fit indices are reported in the manuscript.

This work contributes substantially to the understanding of how depressive symptomology, self-disclosure and workplace support are interrelated within organizations. In addition, having examined these relationships using a sample of undiagnosed individuals, new insights were gained regarding a subset of the population that remains vastly understudied.

The purpose of this paper is to assess the prevalence and nature of presentation of unipolar depression in individuals with Prader-Willi syndrome (PWS).

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (2009) checklist for systematic reviews was followed where possible.

Seven studies were included in the qualitative synthesis from a total of 261 records identified. The quality of the studies was then assessed: scores for each study design ranged from between 3 and 6 of a possible score total of 6. The frequency of depression ranged between studies from 4 to 22 per cent. four studies showed over 50 per cent of patients appeared to suffer from psychotic symptoms. Low mood, anhedonia and irritability were described as features of depression, although no fixed pattern of psychopathology arose from across the studies (excluding psychosis). This review has provided evidence to suggest that depression is a frequent occurrence in the PWS population. One study found that the incidence of depression differed between the genetic subtypes, raising questions regarding the relationship between genotype and behavioural phenotypes. A high proportion of individuals with depression suffered from psychotic symptoms.

The small number of heterogeneous studies included in this study precluded meta-analysis of the results. This highlights the need for further original research in this field.

An increased awareness of the frequency of depressive symptoms within the PWS population will aid in the timely diagnosis and management of the disorder which will reduce psychiatric morbidity. The noted high proportion of psychotic symptoms associated with depression should raise the index of suspicion with clinicians and aid appropriate management decisions.

This review has provided preliminary evidence for the nature of presentation of unipolar depression in PWS. It has highlighted the possibility of an increased propensity towards depression with psychotic symptoms. There is some suggestion of a differing presentation and course of unipolar depression between the common genetic subtypes of PWS which warrants further investigation.

Perceptions of ageing towards the self and towards others can positively and negatively impact an older adult’s mental wellbeing. This paper aims to consolidate literature examining the relationship between perceptions of ageing and depression in older adults to inform both practice and policy for older adult mental health services.

Quantitative research articles examining perceptions of ageing and depression in older adults were identified through searches on three electronical databases, alongside forward and backwards citation searches. A total of 14 articles involving 31,211 participants were identified.

Greater negative attitudes towards ageing were associated with higher levels of depressive symptoms and greater positive attitudes towards ageing were associated with lower levels of depressive symptoms or higher levels of happiness. However, the causal direction of this relationship could not be determined. Studies demonstrated that perceptions of ageing also act as a moderator in the relationship between depression and health status, hopelessness and personality traits. Future research should attempt to examine the relationship between perceptions of ageing and depression in older adults to attempt to identify the causal direction of this relationship.

This is the only systematic review the authors are aware of consolidating literature which explores the relationship between older adults’ perceptions of ageing and depression. It is hoped that these findings will be able to inform both policy and practice to improve older adults’ care and support for depression.

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.