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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.

The purpose of this study is to analyse the mediating effect of friends and family as sources of perceived social support in the relationship between loneliness and depressive symptoms.

Survey data sample consisted of 733 university students from January to May 2023. Participants completed the UCLA loneliness scales, Multidimensional Scale of Perceived Social Support (MPSS) and Depression, Anxiety and Stress Scale (DASS-21). The SPSS programme with PROCESS macro (Model 6) was used to test the hypothesis regarding the mediation effect.

The bootstrap analysis found that friends as a source of social support mediated the relationship between loneliness and depressive symptoms. Similarly, loneliness had a significant indirect effect on depressive symptoms through the mediation of family as a source of social support. Moreover, it was found that the relationships of friends and family as sources of social support mediated the association of the aforementioned variables.

This research advances our understanding of social support sources from friends and family amongst university students whilst providing suggestions for interventions tackling loneliness and depressive symptoms in a university setting.

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.

Adolescence is a developmental stage of transition that is marked by multiple biopsychosocial changes that affect their well- and ill-being. This study aims to examine the multidimensional of well- and ill-being among adolescents, and to understand the relationship between well-being and depression using the PERMA model among school-age adolescents.

A descriptive, cross-sectional design was used to recruit 625 school-age adolescents (343 males and 282 females), using convenience sampling technique from the central district of Jordan. Self-administered questionnaire was used to collect data in relation to depression and well-being.

The analysis revealed that 32% had a well-being score below the median and 19% had severe depressive symptoms. Depression and well-being were moderately correlated, with the connectedness dimension being the most correlated to depression, whereas the engagement dimension was the least correlated. Females had higher scores on all subscales of depression and a significantly higher score on depression than males, whereas males had higher scores on all well-being dimensions and significantly higher scores on overall well-being than females.

Adolescents’ mental health is compromised and affected by their perception of well-being, and a comprehensive psychoeducation for adolescents on how to enhance well-being might combat development of depressive symptoms.

This study used all PERMA model components to provide an in-depth description of adolescents’ well-being, which is a crucial initial phase in better understanding how this age group experiences well-being and how it connects to their ill-being, as indicated by their depressive symptoms. The in-depth description of adolescents’ well-being will aid in planning early intervention and prevention programs for mental illness.

The early care and education (ECE) workforce plays a pivotal role in shaping early childhood developmental trajectories and simultaneously experiences significant mental health disparities. The purpose of this study is to investigate how social determinants of health and external stressors are associated with the mental health of ECE staff, which represent a low-resourced segment of the workforce; how psychological capital (psycap) can mitigate these associations.

The authors administered an 89-item survey to 332 ECE staff employed in 42 Head Start centers in the USA. The authors ran three hierarchical linear regression models to analyze associations between social determinants of health, external sources of stress, psycap and potential moderation effects and mental health outcomes.

Individuals experiencing greater finance-related stress reported 0.15 higher scores on the depression scale and 0.20 higher scores on the anxiety scale than those experiencing less finance-related stress (p < 0.05). Individuals experiencing greater work-related stress reported 1.26 more days of poorer mental health in the past month than those experiencing less work-related stress (p < 0.01). After controlling for all sociodemographic variables and sources of stress, psycap was significantly and negatively associated with depressive symptomology (b-weight = −0.02, p < 0.01) and the number of poor mental health days reported in the past month (b-weight = −0.13, p < 0.05). Moderation models suggest that higher levels of psycap may mitigate the association between work-related stress and the number of poor mental health days reported in the past month (b-weight = −0.06, p = 0.02).

The implications of these findings suggest a need for policy change to mitigate social determinants of health and promote pay equity and multi-level interventio ns that target workplace-related stressors and psycap to combat poor mental health of the ECE workforce.

Given the limited literature on depression as a contributing factor to compulsive social media use, the present research examines the role of perceived depressive mood (PDM) in developing compulsive social media use behavior. The authors also identify and hypothesize channels such as contingent self-esteem (CSE), social interaction anxiety (SIA) and fear of negative evaluation (FNE), which may explain how PDM affects compulsive social media use.

The research model was empirically tested with a survey of 367 Chinese university students using structural equation modeling by drawing on the escape and self-presentation lenses.

The findings indicate that PDM contributes to compulsive social media use behavior both directly and indirectly through CSE. Furthermore, the impact of CSE on compulsive social media use is mediated by the FNE, whereas SIA fails to mediate this effect.

The results can advance the authors’ knowledge of the role and process by which depressive mood impacts compulsive social media use. These findings may add insights into psychological treatment and help in, for example, developing counseling programs or coping strategies for depressed people to protect them from using social media excessively.

This research identifies the pathway mechanism between PDM and compulsive use of social media. It also increases the understanding of how CSE and social interaction deficiencies contribute to compulsive social media usage (CSMU).

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.

The purpose of this systematic review is to assess if there is a relationship between literacy abilities and mental health outcomes as reported in global literature. Fourteen percent of the global population has little or no literacy. Literacy skills impact on daily functioning and have been shown to impact on social outcomes. Whilst there has been research examining the potential association between literacy and mental health outcomes in specific populations, there has been no systematic review of this literature to date.

A systematic review was carried out using Embase, PsycINFO and PubMed to identify relevant papers that measured both literacy and mental health. Data relating to the association between literacy and mental health were extracted. The papers included were assessed for quality using a bespoke quality rating tool. A narrative synthesis describes the findings.

Nineteen studies from across nine countries were included in the analysis. Seventeen studies showed a significant association between literacy and mental health, those with lower literacy had greater mental health difficulties. Some papers reported factors that interacted with this association, such as age, gender, poverty and years of education.

To the best of the authors’ knowledge, this is the first systematic review to look at the global picture of literacy and mental health. It suggests there is a relationship between literacy abilities and mental health outcomes, highlighting the importance of healthcare professionals and services including identification of literacy needs within routine mental health practice.

Gender discrimination exists in various settings globally and harms women’s mental health. This study aims to understand the impact of gender discrimination on hopelessness and emotional vulnerability. Further, we attempted to determine whether benevolent childhood experiences (BCEs) moderate the relationships of gender discrimination with hopelessness and emotional vulnerability.

Data from 445 young women from India was gathered from a cross-sectional survey. Measures included gender discrimination inventory, Beck’s hopelessness inventory, emotional vulnerability scale and BCE scale.

Results yielded a significant positive association of gender discrimination with hopelessness and emotional vulnerability. BCEs were negatively related to hopelessness, emotional vulnerability and gender discrimination. Further, gender discrimination predicted increased feelings of hopelessness and emotional vulnerability. However, BCEs do not neutralize the effect of gender discrimination.

It is evident from this study that gender discrimination exists independent of socioeconomic class, domicile and educational qualification, taking a toll on women’s well-being and mental health. Incorporating attitudinal changes at the community and societal level in reducing gender norms responsible for negative outcomes will allow women to function to their full capacity and experience improved mental health.

The research on gender discrimination and its impact on women’s mental health is limited, especially exploring the role of BCEs. Previous studies have indicated that BCEs have protective roles in neutralizing adversities. However, the present study uniquely contributes to establishing the limited role of BCEs in the context of gender discrimination, though it contributes to mental health. The policy and psychosocial implications of the study are discussed.

The majority of emerging adults in the United States spend time in cohabiting unions. Prior research has suggested that higher levels of sexual non-exclusivity may exist among those in cohabiting relationships compared to marital unions. Although these basic patterns have been explored in prior work, research examining the potential reasons why levels of sexual non-exclusivity differ by union status has been limited. Drawing on a relational perspective and using the fifth wave of data from the Toledo Adolescent Relationships Study (TARS), the present study found that higher levels of sexual non-exclusivity in cohabiting relationships were explained by intimate relationship characteristics and sexual histories rather than sociodemographic factors, partner heterogamy, or partner- and couple-level drug use. These findings highlighted that understanding the higher rates of sexually non-exclusive experiences in cohabiting relationships, compared to marital relationships, requires attention to specific dynamics of the intimate partnership and prior relational experiences of both partners. The study concluded that cohabitation has a unique place in emerging adults’ relationship landscape and may set the groundwork for future relationship functioning.