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Purpose – The objective of this research is to know the correlation of stress level with the degree of depression in the elderly at a nursing home in Lhokseumawe in the year 2017.

Design/Methodology/Approach – This research is analytic using a cross-sectional approach with a total sampling method. The total number of samples was 55 respondents.

Findings – The results showed that the elderly in a Lhokseumawe nursing home at average are at mild stress level to medium degree of depression. Pearson correlation test results show that there is a correlation between stress level and degree of depression in elderly in the Lhokseumawe nursing home in 2017 with medium strong relationship (r = 0.406; p = 0.002).

Research Limitations/Implications – We expect that the elderly living in the orphanage avoid negative thinking about themselves and the future, eliminating feelings of guilt or regret about past mistakes, taking adequate rest and maintaining a diet to avoid stress so as to prevent the onset of depression.

Originality/Value – In addition the study increases the theoretical understanding of the correlation between stress level and degree of depression in elderly at nursing home.

This study aims to investigate the relationship between COVID-19 impacts and auxiliary police officers’ mental health as well as the moderating role of supervisor procedural justice.

Based on the role theory and a police officer survey from China, this quantitative study investigates the relationship between COVID-19 impacts and mental health status among auxiliary police, a rarely examined police type. We also examine the moderating role of supervisor procedural justice.

Auxiliary police officers reported both negative and positive impacts from COVID-19, while the negative impacts were mainly in the work domain, but the positive impacts were primarily in the life area. OLS regression results indicate that negative impacts, especially work-related negative impacts, are significantly related to depression and anxiety, and supervisor procedural justice moderates the relationship between positive impacts and depression and anxiety.

Firstly, we adopted the role theory to examine how public health emergencies affect police officers in their work and life domains. Secondly, we advance the organizational justice literature by assessing whether supervisor procedural justice can moderate the relationship between COVID-19 impacts and their mental health. Thirdly, this research extends the literature on depression and anxiety of auxiliary police officers in China, who attracted less attention in current literature and policies.

The purpose of this paper is to discover if there is a correlation between scores on the Beck’s Depression Inventory (BDI) and the Cognitive and Physical Functioning Questionnaire (CPFQ) scores of 43 patients with major depression.

In total, 43 adult patients with major depression were evaluated during their regularly scheduled outpatient appointment in a mental health clinic.

There was an R² value of 0.6544 between the patients’ scores, a moderate-to-strong correlation which matches other observations that cognitive impairment increases in conjunction with severity of depression. This correlation lends further clinical support to the legitimacy of using the CPFQ as a simpler alternative to traditional neuropsychological testing, with further testing of the correlation between CPFQ and traditional neuropsychological testing results being a worthwhile potential field of study.

Cognitive dysfunction is a frequent comorbidity in patients with depression, but while there is a brief and effective self- assessment for depression, the BDI, in common use, there is no equivalent test for cognitive dysfunction, and physicians are forced to rely on less accessible methods of neuropsychological testing.

Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.

The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.

(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.

The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.

This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.

This study aims to assess the design, manufacturing and surgical implantation of three-dimensional (3D) customized implants, including surgical preoperative planning, surgery and postoperative results, for cranioplasty along with zygomatic and orbital floor implants using additive manufacturing (AM) technics for a 23-year-old female who suffered from severe craniomaxillofacial trauma.

The skull biomodel was produced in polyamide while implants were made of Ti-6Al-4V alloy by AM.

The method enabled perfectly fitting implants and anatomical conformance with the craniomaxillofacial defect, providing complete healing for the patient. Surgical planning using a customized 3D polyamide biomodel was effective. This proved to be a powerful tool for medical planning and manufacturing of customized implants, as complete healing and good craniofacial aesthetic results were observed.

Satisfactory surgical procedures, regarding surgery time reduction and good craniofacial aesthetic results, were achieved. Furthermore, the 3D titanium customized implants represented a favorable alternative for the repair of craniomaxillofacial defects.

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 investigate the effect of sandwich-generation caregiving (caregiving for elders and children simultaneously) on employed caregivers’ job satisfaction when compared with non-sandwich caregiving patterns of no caregiving, children-only caregiving and elders-only caregiving. This study also aims to explore whether depression mediates this effect and whether three types of caregivers-friendly work time (less work-time length, less nonstandard work-time schedule and more work-time autonomy) buffer these direct and indirect effects.

A sample of 7,571 Chinese employees is chosen from the 2020 China Family Panel Studies through a multistage stratified sampling design.

After controlling for employees’ sociodemographic, work and other caregiving characteristics, this study finds that sandwich-generation caregiving is indeed more likely to negatively affect employees’ job satisfaction when compared with no caregiving and elders-only caregiving, but to the same extent as children-only caregiving. This study also suggests that the effect of sandwich-generation caregiving on job satisfaction is mediated by employees’ depression and that three types of caregiver-friendly work time help to weaken the negative effects on employees’ depression and job satisfaction.

To the best of the authors’ knowledge, this is the first study to explore the negative spillover effect and its mechanisms of caregiving on employees’ job satisfaction through focusing on a special caregivers group: employed sandwich-generation caregivers. These results shed light on the importance of extending caregiver studies to the workplace and provide implications for organization managers and human resources practitioners to design caregiver-friendly workplace policies to maintain employed caregivers’ work-family balance.

This paper examines the hypotheses that the length and the depth of the Great Depression were a result of sticky prices or sticky nominal wages using panel data for industrialized and semi-industrialized countries. The results show that price stickiness, particularly, and wage stickiness were key propagating factors during the first years of the Depression. It is found that prices adjusted slowly to wages, particularly in manufacturing. Manufacturing wages are also found to adjust relatively slowly to innovations in prices, but unemployment exerted strong downward pressure on wage growth.

This paper analyzes the existing body of work on the relationship between depression and social media use in the information system field, including the impact of social media use on depression, the effect of depression on social media use and the association and interaction between depression and social media use.

Using the systematic review method, this study selected the Web of Science, Emerald, Science Direct, JSTOR, Wiley Online Library and Taylor and Francis Online as search databases and ended up with 29 papers that met all the authors' requirements.

This study identified five possible reasons for the inconsistencies between the findings of the selected studies. First, uses and gratifications theory has different influence mechanisms in evaluating the relationship between social media use and depression. Second, gender can moderate the impact of social media use on depression. Third, age moderates the association between social media use and depression. Fourth, for adolescents, the time spent on social media has a critical effect on their depression. Fifth, negative personality traits (e.g. rumination, envy, etc.) can play a significant role in mediating the relationship between passive social media use and depression.

This study conducted an evaluation of the relationship between depression and social media use. First, the authors summarized the research framework and main body of work covering the relationship between depression and social media use. Second, the authors proposed possible explanations for the inconsistencies between the findings. Third, the authors discussed and explained the possible influence mechanisms of the existing results.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0211.

Using the lenses of social exchange and reactance theories, this study examines the relationships between abusive supervision and both turnover intentions and job satisfaction. The moderating role of employee depression in the relationship between abusive supervision and these specific work outcomes is also investigated, by incorporating the conservation of resources theory.

Quantitative data were collected from a sample of 221 frontline retail employees, across shopping malls in the Caribbean nation of Trinidad. A 3-step multiple hierarchical regression analysis was performed to test the relationships.

The findings provided support for the propositions that abusive supervision predicts job satisfaction and turnover intentions, respectively. Employee depression moderated the relationship between abusive supervision and job satisfaction but did not moderate the relationship between abusive supervision and turnover intentions.

While existing research has explored the relationships between abusive supervision, job satisfaction and turnover intentions, limited studies have investigated the moderating role of employee depression. This study contributes to understanding this pervasive workplace issue by investigating a relatively unexplored moderating effect.