Significant Predictors Of Depression Research Articles

Examining Race-Based Discrimination, Depression, and Occupational Stress in Black Registered Nurses.

Nursing is a highly stressful and demanding profession that can negatively affect mental health, as shown by nurses' high rate of depression. Furthermore, Black nurses may experience additional stress due to race-based discrimination in the work environment. This research aimed to examine depression, experiences of race-based discrimination at work, and occupational stress among Black nurses. To better understand associations between these factors, we conducted multiple linear regression analyses to assess whether (1) past-year or lifetime experiences of race-based discrimination at work and occupational stress predicted depressive symptoms; and (2) controlling for depressive symptoms, past-year and lifetime experiences of race-based discrimination at work predicted occupational stress in a cohort of Black registered nurses. All analyses controlled for years of nursing experience, primary nursing practice position, work setting, and work shift. The results indicated that both past-year and lifetime experiences of race-based discrimination on the job were significant predictors of occupational stress. However, experiences of race-based discrimination at work and occupational stress were not significant predictors of depression. The results of the research highlighted the predictive effect of race-based discrimination on occupational stress in Black registered nurses. This evidence can inform the development of organizational and leadership strategies to improve the well-being of Black nurses in the workplace.

Depression and Burnout among Health Extension Workers in Ethiopia: A Cross-Sectional Study.

Depression and burnout are common among healthcare workers (HCWs) and negatively affect their well-being and the quality of the service they provide. However, the burden of depression and burnout among health extension workers (HEWs) in Ethiopia and their relationship has not been documented well.The objective of this study was to estimate the prevalence of depression and burnout among HEWs in Ethiopia and to investigate the relationship between these conditions. We used a cross-sectional study design and collected data from 584 rural and 581 urban HEWs in Ethiopia, as part of the 2019 national health extension program assessment. The Patient Health Questionnaire (PHQ-9) and Burnout Self-Test were used to screen HEWs for depression and burnout, respectively. We used descriptive statistics to estimate the magnitude of depression and burnout, and logistic regression to examine their relationship. Based on PHQ-9 cutoff scores of 10, the prevalence of major depression was 16.5% among rural and 8.9% among urban HEWs, whereas burnout risk was 39.8% among rural and 12.6% among urban HEWs. The odds of having depression among HEWs with burnout risk was relatively higher compared to those without burnout risk [For rural HEWs, the adjusted odds ratio (AOR) is 11.88 at a 95% confidence interval (CI; 5.27, 26.80), and for urban HEWs, the AOR is 11.49 at a 95% CI (5.35, 24.63)]. The prevalence of depression and burnout is high among HEWs in Ethiopia, with a significant rural-urban difference, and burnout is a significant predictor of depression. Mental health interventions that enable prevention, early detection, and management are needed especially for rural HEWs who are in charge of preventive health service delivery for the disadvantaged rural communities.

Perceived social support, newborn temperament and socioeconomic status in postpartum depression: report from southwest Serbia

Aim of the studyThe aim of this study is to asses the relationship between postpartum depression and perceived social support, newborn temperament, and selected sociodemographic variables.Subject or material and methodsThe sample consisted of 145 mothers, with an average age of 27, mostly married. The following instruments were used in the research: Questionnaire on sociodemographic characteristics, Neonatal temperament scale, Edinburgh scale of postpartum depression - EPDS and Scale of perceived social support.ResultsThe results showed that reduced social support from partners, friends, and family, difficult newborn temperament, and low socioeconomic status correlated with postpartum depression.DiscussionThe practical implications of the research are reflected in the understanding of social support as a significant predictor of depression in the postpartum period and the implementation of the social component in the system of support and assistance to pregnant women and mothers.ConclusionsRecognizing the factors that cause mood disorders after childbirth is an important part of the diagnosis and prevention of postpartum depression. Postpartum depression is a non-psychotic postpartum mood disorder that can last up to 12 months postpartum. The etiological disorder is still not differentiated because it is differentiated through a bio-psycho-social basis.

Perceived COVID-19 pandemic impact and protective factors predicting patient-reported depression and anxiety in individuals living with cancer

BackgroundThe COVID-19 pandemic presents a unique, amplified threat to those living with a cancer diagnosis, but personal factors may play a role in how this affects well-being. This cross-sectional study (1) describes the impacts of COVID-19 on cancer patients’ lives, and (2) explores the extent to which specific impacts of COVID-19 and noted protective factors, hope and resilience, predict two crucial patient-reported outcomes, depression and anxiety, after controlling for relevant sociodemographic and clinical factors.Methods520 cancer patients and survivors in the U.S. completed an online survey during the first year of the pandemic and answered questions about COVID-19 areas of impact, psychological well-being, hope, and resilience. Hierarchical regression analyses were used to analyze the unique impact of each group of variables on patient-reported levels of depression and anxiety during the pandemic.ResultsParticipants strongly endorsed COVID-19 impact across several areas of life, especially social activity, well-being, and ability to acquire basic essentials. Regression models explained a substantial amount of variance in patient-reported depression (R2 = .50, p < .001) and anxiety (R2 = .44, p < .001), revealing COVID-19 financial impact as a significant predictor of depression (β = 0.07), and COVID-19 family impact as a significant predictor of anxiety (β = 0.14), even after controlling for the effects of relevant sociodemographic and clinical variables. Additionally, resilience and hope were the largest predictors of both depression (β = − 0.19 and − 0.37, respectively) and anxiety (β = − 0.18 and − 0.29), suggesting that they account for unique variance in patient-reported mental health during the COVID-19 pandemic and might serve as important protective factors.ConclusionsThe current results add to existing literature documenting the significant effect of COVID-19 on those living with cancer. COVID-19 impact, including financial and family well-being, as well as positive psychological constructs, hope and resilience, play a crucial role in levels of patient-reported depression and anxiety during the pandemic. As COVID-19 continues to evolve, health care providers should routinely assess psychological well-being and needs related to COVID-19 financial and family impact in an effort to appropriately align individuals with resources and support, and consider how hope and resilience can be fostered to serve as psychological buffers during this time.

Impact of the COVID-19 pandemic on women's perinatal mental health and its association with personality traits: An observational study.

The burden of perinatal mental health problems was expected to increase during the COVID-19 pandemic. We prospectively investigated the impact of the COVID-19 pandemic on the mental health of pregnant and postpartum women in Norway and explored associations with their sociodemographic characteristics and personality traits. Sociodemographic information and the self-reported impact of pandemic on wellbeing of pregnant women was collected using an online survey. To assess women's mental health, two validated questionnaires, the Edinburgh Postpartum Depression Scale (EPDS) and the Generalized Anxiety Disorder-7 item Scale (GAD-7), were used prenatally and postnatally. Personality traits were evaluated using HumanGuide, a web-based ipsative psychological evaluation instrument. 772 women were included prenatally, of which 526 also responded to the survey 4-6 weeks postnatally. The median age was 29 years, 53.6% of the women were nulliparous when enrolled, and 35.1% worked in the healthcare sector. The median EPDS (6.0; interquartile range [IQR] 3.0-10.0 vs 6.0; IQR: 3.0-10.0) and the median GAD-7 (5.0; IQR 2.0-9.0 vs 5.0; IQR 2.0-9.0) were similar pre-and postnatally. Prenatally, the proportion of women scoring ≥13 on EPDS and ≥10 on GAD-7 was 14.5% (112/772) and 21.5% (166/772), whereas the postnatal figures were 15.6% (82/526) and 21.5% (113/526), respectively. The differences were not significant (P=0.59 and P=0.99). Being <25 years of age, being on pre-pregnancy psychotherapy or psychotropic medication, frequent voluntary isolation, perception of maternity care not proceeding normally, avoiding seeking medical assistance due to fear of infection and having negative economic consequences during the COVID19 pandemic significantly increased the risk of both anxiety (GAD-7 ≥10) and depression (EPDS ≥13). Nullipara had a higher risk of anxiety, whereas being a healthcare worker had a lower risk. The personality trait factors Power (P=0.008), Quality (P=0.008), Stability (P < 0.001) and Contacts (P < 0.001) were significant predictors of depression among pregnant women, whereas the Quality (P=0.005) and Contacts (P=0.003) were significant predictors of anxiety. During the initial phase of the COVID-19 pandemic, the prevalence of depression (EPDS ≥ 13) and anxiety (GAD-7 ≥ 10) was 14.5% and 21.5%, respectively, among Norwegian pregnant women. Certain sociodemographic characteristics and personality traits were significant predictors of depression and anxiety.

The Role of Emotional Skills (Competence) and Coping Strategies in Adolescent Depression.

Depression is a state of low mood that can lead to several negative outcomes on thoughts, emotions, behaviors, and even physical state. With that in mind, it is important to detect individuals at risk of developing depressive symptoms early and identify protective factors. During the COVID-19 pandemic, adolescents emerged as one of the most vulnerable groups, with deteriorated anxiety and depression due to imposed social isolation, reduced social activities, and concerns over household status, health, and peer support. Distance learning through public service broadcasts and online tools lasted for several months, posing the need for adjustment. This study aimed to assess emotional competence and coping styles as predictors of depression in a sample of adolescents. The study was conducted in-person on a sample of 142 high school students. A high percentage of participants reported above-average levels of depression (21.1% severely depressed). On average, girls reported higher levels of depression than boys (t = 3.86, p < 0.01). Gender differences were also found in emotion-focused coping and avoidance, with girls scoring higher on both (p < 0.05). However, there were no gender differences in problem-focused coping or emotional competence. Hierarchical regression analysis concluded that perceiving and understanding emotions, expressing and naming emotions, regulating emotions, and avoidance were significant predictors of depression. This regression model explained 53% of depression variance, with the regulation of emotions being the most powerful predictor (p < 0.01). No mediating effect of coping styles on the relationship between emotional competence and depression was found in this study.

Dog owners: Disenfranchised guilt and related depression and anxiety

Abstract Parental guilt, one common subtype of guilt often associated with work-family conflict (WFC), has been found to be associated with depression and anxiety. Because many people view their pets as family members and even children, the current study was designed to explore dog owners’ dog-related guilt and its relationship with depression and anxiety. Through an online anonymous survey, the results of our study suggest that dog owners’ guilt and dog-related WFC are at comparable levels to those reported in human family studies. They are also both significant predictors of depression and anxiety. It is important for mental health professionals to be aware of this disenfranchised guilt and help clients cope in positive ways. Guidance related to self-compassion is offered as one strategy to help pet owners struggling with this common, but often trivialized, source of guilt.

The impact of sleep quality, fatigue and social well-being on depressive symptomatology in autistic older adolescents and young adults.

Depression and poor sleep quality commonly co-occur with autism, and depression has been associated with loneliness and reduced social support. In non-autistic samples, poor sleep quality and daytime fatigue also contribute to depression. However, the contribution of sleep quality and fatigue to depressive symptoms, and how they interact with social factors to influence depression in autism remain unexplored. Our aim was to examine these relationships in 114 young autistic adults aged 15-25 years (57% male) from the SASLA online, longitudinal study (baseline and 2-year follow-up). Hierarchical multiple regression models examined the association between social well-being (social integration and social contribution; T1), sleep quality (T1, T2), and fatigue (T1, T2) on depression (T1, T2). Two mediation models were conducted on T1 data predicting depression from sleep quality though fatigue and sleep quality through social well-being. Depression and fatigue scores did not change over 2 years, but sleep quality worsened. The T1 regression model was significant (R2 = 36%) with fatigue and social contribution individually predicting depression symptomatology. The longitudinal regression model was also significant (adjusted R2 = 57%) with social contribution (T1) as the only significant predictor of depression (T2). Fatigue trended towards mediating the sleep quality-depression relationship, while social well-being was a significant partial mediator of this relationship. Results highlight that sleep quality, fatigue, and social well-being contribute to depression among young autistic adults. Interestingly, fatigue and social well-being were independently associated with depression. Thus, addressing sleep quality and associated fatigue, and social well-being is important when treating depression in autistic individuals.

Recurrent COVID-19 Waves and Lockdown: Impact on Daily Life and Mental Health of People in Nepal

Background. Lockdown is recognized as an effective measure in limiting the spread of coronavirus (COVID-19) throughout the world. However, recurrent COVID-19 infection and the extension of lockdown have threatened the livelihoods of people, mainly socioeconomic and mental health dimensions. Objective. The present study is aimed at identifying the impact of COVID-19 lockdown on the daily life and mental health of the general population of Nepal. Furthermore, the study identified the predictors of the mental health status of the people during COVID-19 lockdown. Methods. The study was conducted among 354 Nepalese people specifically the breadwinner of the family. Respondents completed the questionnaires related to the sociodemographic characteristics, COVID-19, and its impact on various aspects of life, including mental health via Depression, Anxiety, and Stress Scale-21 items (DASS-21). Data was collected through the web-based method, Google Forms questionnaire. Respondents were contacted through email and social networks (Facebook, Messenger, WhatsApp, and Viber) following a snowball approach. Data was analyzed using descriptive and inferential statistics. Logistic regression analysis was done to identify significant demographic, COVID-related, and socioeconomic factors associated with mental health outcomes. Results. Based on DASS-21 scores, the prevalence of depression, anxiety, and stress was 46.6% (mild: 22.3%, moderate: 16.7%, severe: 6.5%, and extremely severe: 1.1), 42.1% (mild: 10.2%, moderate: 18.6%, severe: 11.6%, and extremely severe: 1.7%), and 39% (mild: 16.7%, moderate: 12.7%, and severe: 9.6%), respectively. Various factors associated with COVID-19, its lockdown measures, and sociodemographic characteristics of the people were identified as the significant predictors of depression, anxiety, and stress among the general population of Nepal. Conclusion. The impact of COVID-19 lockdown on individuals’ work, income, education, living standard, lifestyle, and consequently mental health is significant. The study findings warrant the importance of understanding the impact of the COVID-19 pandemic on individuals’ all aspects of life and timely monitoring and appropriate intervention on risk groups to reduce the severity and chronicity of mental health problems.

Prevalence of undiagnosed depression among patients with hypertension: A cross-sectional study of Malaysian primary care perspective.

This study aimed to determine the prevalence of suspected depression and its associated factors among patients with hypertension in a Malaysian primary care clinic. This cross-sectional study was conducted in a primary care clinic from 1 June to 31 August 2019 using the Patient Health Questionnaire-9. The prevalence of suspected depression was 9.0%. The significant predictors of depression were Indian ethnicity (adjusted odd ratio [AOR]: 2.373; confidence interval [CI]: 1.147-4.907), divorce (AOR: 3.5; CI: 1.243-9.860), singleness (AOR: 2.241; CI: 1.182-4.251), heavy episodic drinking (AOR: 7.343; CI: 2.494-21.624), low physical activity level (AOR: 1.921; CI: 1.0932.274), low fibre intake (AOR: 1.836; CI: 1.061-3.178), uncontrolled blood pressure (AOR: 1.800; CI: 1.134-2.858) and presence of hypertension complications (AOR: 3.263; CI: 2.053-5.185). Primary health care providers must screen for depression among patients with hypertension, particularly those within high-risk groups, and implement interventions that address modifiable risk factors.

Evaluation of Depression and Anxiety in Rheumatoid Arthritis Patients During COVID-19 Pandemic.

Rheumatoid arthritis (RA) disease activity, associated comorbidities, and therapy-related side effects impair the physical, social, and emotional dimensions of the patient's health. Presently, the ongoing COVID-19 pandemic has been associated with a broad range of psychosocial disorders in various populations. Patients with RA are especially vulnerable to such effects. Detect the prevalence of recent COVID-19 infection among patients with RA, assess depression and anxiety in these patients and their associated factors during the COVID-19 pandemic and their potential relation to disease activity. This is a cross-sectional study conducted on 120 adult Egyptian patients diagnosed with RA during the COVID-19 pandemic. The prevalence of recent COVID-19 infection among the patients was evaluated. The patients underwent psychological assessment using the Hamilton Depression Rating Scale (Ham-D) and the Hamilton Anxiety Rating Scale (Ham-A) to measure levels of depression and anxiety levels. The RA disease activity was assessed using Disease Activity Score (DAS) Das-28-ESR. This study encompasses a total of 120 RA patients. The prevalence of patients with a recent history of COVID-19 infection was 40.8%. Both groups exhibited significantly elevated mean scores on the Das-28-ESR scale and also scored higher on measures of depression and anxiety. Interestingly, the COVID-19 group exhibited a higher percentage of unmarried individuals, had educational attainment below the university level, and were unemployed. Patients with recent COVID-19 had significantly lower numbers of children, higher disease duration, higher Das-28-ESR scores, and elevated depression and anxiety scores. The statistical analysis revealed that the COVID-19 infection and disease duration were significant predictors of depression and anxiety. The results also exhibited that the depression score was positively correlated with age and DAS scores. It was observed that patients diagnosed with RA revealed a higher prevalence of COVID-19 infection. The occurrence of depression and anxiety was observed to be widespread among patients diagnosed with RA and, more significantly, prevalent in RA patients who had a recent COVID-19 and had a higher level of disease activity. The occurrence of COVID-19 and disease duration were identified as factors that can anticipate the development of depression and anxiety.

The Effect of Psychological Resilience and Coping Strategies on Mental Health of Nurses.

Nursing professional is considered to be stressful with impact on nurses' mental health. The aim of this study was to investigate the effect of coping strategies and psychological resilience on anxiety and depression among nurses. In this descriptive and cross-sectional study, 378 nurses from two hospitals (a general and a psychiatric) in Greece completed the Patient Health Questionnaire-2 (PHQ-2), the Generalized Anxiety Disorder-2 (GAD-2), the Connor-Davidson Resilience Scale 25 (CD-RISC 25), and the Ways of Coping Questionnaire for evaluating the depression, anxiety, psychological resilience, and coping strategies, respectively. The study was carried out between October and December of 2019. Statistical analysis was performed with JASP version 0.14.01 and significance for all statistical tests was set at 0.05 or less. Psychological resilience was significantly correlated with anxiety (r=-0.127, p=0.014), Positive approach (r=-0.466, p<0.001), Seeking social support (r=-0.228, p<0.001), Avoidance/Escape (r=-0.121, p=0.020). Anxiety was positively correlated with Seeking social support (r=-0.112, p=0.030), Prayer/Daydream (r=-0.132, p=0.030), Avoidance/Escape (r=-0.164, p<0.001), and Assertive problem solving (r =-0.195, p<0.0010). Psychological resilience, Avoidance, and Assertive problem-solving were significant predictors of increasing of anxiety (β=-0.128, p = 0.013, β=0.130, p=0.027, β=0.131, p=0.020, respectively). Avoidance (β=0.209, p<0.001) and age (β=0.208, p=0.029) were significant predictors of depression. Psychological resilience and coping strategies have a significant effect on nurses' mental health.

The Relationship Between Social Connectedness and Mental Health in Those With Epilepsy

Individuals with epilepsy are at a much greater risk of developing depression than the general population (Butler et al., 2019). We sought to understand the relationship between epilepsy, social connectedness, and depression. Specifically, we examined the degree to which an individual’s sense of connection to their friends and family predicts depressive symptoms among those with and without epilepsy. We analyzed data from the National Longitudinal Study of Adolescent to Adult Health Wave IV dataset, which included 5,114 individuals aged 24–32. Seventy-one of the participants in this sample reported an epilepsy diagnosis, and we randomly selected 71 participants without epilepsy from the dataset to serve as controls. We used stepwise multiple regression analyses to examine the extent to which epilepsy, friend connectedness, and family connectedness predicted depression, F(3, 76) = 7.51, p &lt; .001, R2 = .23. Epilepsy significantly predicted depression, β = .81, p &lt; .001. Friend connectedness was also a significant predictor of depression, β=– .23, p = .03, but family connectedness was not, β = –.11, p = .30. This pattern of results seems to hold for participants with and without epilepsy. We conclude that friend connectedness is an important factor to consider when working with individuals with epilepsy who experience depressive symptoms. Further research is needed to fully understand the factors that contribute to depression in those with epilepsy.

Premorbid temperament as predictor of onset of depression: 23-year follow-up

BackgroundPreviously Cloninger's temperament traits have been researched as a risk factor for depression mostly in cross-sectional studies. In these studies, especially high harm avoidance has been associated with an increased risk of depression. The main objective of this study was to investigate how temperament traits affect the risk of the onset of depression in a previously mentally healthy adult population. MethodsThis study includes a follow-up period of 23 years from the age of 31 until 54 in the Northern Finland Birth Cohort 1966 Study. Temperament was measured at the 31-year follow-up using Temperament and Character Inventory (TCI). The outcome of the study was depressive disorder diagnosis during the follow-up in both sexes. To be able to take correlations between temperament traits we also did an analysis using temperament clusters. ResultsOur sample size was 3999 individuals, out of which 240 were diagnosed with depression. For women an increase in the TCI score for novelty seeking (NS), harm avoidance (HA) or persistence (P) increased the risk of depression during the follow-up. For men only HA was a significant predictor of depression. An increase in reward dependence (RD) was found to reduce the risk of psychotic depression. In the analysis using the temperament clusters, the cluster including shy and pessimistic individuals was associated with risk for depression diagnosis in men. ConclusionsThis prospective general population-based cohort study added to previous knowledge of high HA being a risk factor for depression, but it also found new associations such as higher P and NS.

Social and Cultural Factors, Self-efficacy, and Health in Latino Cancer Caregivers.

Latino cancer caregivers are at risk of physical, mental, and emotional health issues. Sociocultural factors such as informational support, Anglo orientation, and spiritual practice may compound or protect against these risks. The purpose of this research project was to examine self-efficacy as a mediator between sociocultural factors and health outcomes in Latino cancer caregivers. This is a secondary analysis of baseline caregiver data from an experimental study testing two psychoeducational interventions in Latina individuals with breast cancer and their caregivers. Caregivers (N = 233) completed items assessing self-efficacy, informational support, Anglo orientation, spiritual practice, depression, and global health. Caregiver data were analyzed using hierarchical linear regression and mediation analysis. Spiritual well-being was not significantly associated with health outcomes or self-efficacy. In regression analysis, both informational support ( b = 0.32; 95% confidence interval [CI], 0.20 to 0.45; P < .001) and Anglo orientation ( b = 0.15; 95% CI, 0.11 to 2.48; P < .05) were significant predictors of global health, but informational support ( b = -0.43; 95% CI, -0.55 to -0.30; P < .001) was the only significant predictor of depression. There were indirect relationships through self-efficacy for symptom management for both informational support and Anglo orientation and health outcomes. Informational support and Anglo orientation were significantly related to health outcomes directly and indirectly through self-efficacy in Latino cancer caregivers. Informational support through the health system and community, when provided with attention to culture and Spanish language translation, can increase Latino cancer caregivers' self-efficacy to care for themselves and improve health outcomes.

Low Self-Esteem and Music Performance Anxiety Can Predict Depression in Musicians

Music performance anxiety (MPA) is an issue concerning musicians from all levels but is still a rather neglected topic in the education and employment of musicians. This study investigated the link between self-esteem, MPA, and depression within a German-speaking sample of musicians of different professions. The underlying question of this study was generated during psychotherapy treatment of musicians with depression and MPA. Thus, we investigated whether musicians with low self-esteem had MPA or depression. An online questionnaire on self-esteem, performance anxiety, and depression was sent to a sample (n=295) of German musicians of different professions and levels of education. The assessment tools in the online questionnaire included the Rosenberg-Self-Esteem-Scale, the Kenny Music-Performance-Anxiety-Inventory, and the Beck-Depression-Inventory. Music students had a significantly lower self-esteem scores compared to employed professionals and amateurs and a higher MPA compared to employed musicians. Regression analyses showed a significant prediction of depression by self-esteem and MPA. Specifically, low self-esteem and the cognitive and behavioral aspects of MPA were significant predictors of depression. Partial mediation by MPA between self-esteem and depression was found. Low self-esteem and MPA could predict depression. The scores of the entire sample of musicians regarding their MPA and depression were higher than in the general German population. These results highlight the importance of education and removal of negativity regarding performance anxiety in order to improve psychotherapy methods and ensure musicians' health in general.

Gender-based depression factors of older adults living alone during the COVID-19 pandemic: A cross-sectional and secondary data approach

The coronavirus disease 2019 (COVID-19) pandemic negatively affected the mental health of older adults living alone. This study aimed to examine the differences in factors that influence depression among older adults based on gender. This study was a cross-sectional study employing the secondary data of 3581 older adults living alone at the early stage of COVID-19, collected from the 2020 Korea Community Health Survey, and used multiple linear regression analyses to identify factors associated with depression. We found that women had a higher level of depressive status than men. Low subjective health status was most significantly related to depression in both older men and older women. For women, body mass index and more changes in daily life due to COVID-19 were predictors of depression. Conversely, for men, a lower level of monthly income and smoking were significant predictors of depression. Depressive status caused by COVID-19 was likely to be frailer for older women who were living alone. There were differences in the factors related to depression due to COVID-19 by gender.

Failures in Reflective Functioning and Reported Symptoms of Anxiety and Depression in Bereaved Individuals: A Study on a Sample of Family Caregivers of Palliative Care Patients.

Introduction. This study aims at examining the role of failures in reflective functioning in predicting anxiety and depression among family caregivers of palliative care patients deceased for at least one year. Methods. A sample of 157 bereaved participants (77.1% females, mean age = 43.50 ± 14.04 years) completed the Hospital Anxiety and Depression Scale (HADS) and the Reflective Functioning Questionnaire (RFQ). Results. Results of the correlational analysis showed that anxiety was positively correlated with uncertainty about mental states, indicating one type of impairment in reflective functioning. Anxiety was also negatively correlated with the certainty about mental states. Depression was negatively correlated with certainty but not with uncertainty about mental states. The results of regression analysis indicated that gender and certainty about mental states were statistically significant predictors of anxiety, with the final model explaining 23% of the variance. The results also showed that gender, the condition of being the main caregiver, and the certainty about mental states were significant predictors of depression, with the final model predicting 14% of the variance. Conclusions. Overall, the results of this study point out that the bereaved individuals who scored low on certainty about mental states reported more symptoms of anxiety and depression. Psychological interventions to prevent mental disorders and to promote psychological health in the context of palliative care should carefully consider these findings.

Depressive symptoms and their sociodemographic determinants among people living with HIV/AIDS in Bangladesh: a cross-sectional study

Background: This study aimed to determine the prevalence of depression and its associated factors among people living with HIV/AIDS in Bangladesh. Methods: This cross-sectional study, which took place in Dhaka, Bangladesh, from July to December 2020, included 338 HIV-positive people. The method used was a simple random sampling technique. The Beck Depression Inventory assessed depression in HIV-positive people (BDI). Results: More than 62 percent of the 338 people surveyed had severe depression, 30.5 percent had moderate depression, 5.6 percent had mild depression, and 1.8 percent had no depression at all. Age, being a man, being married, and having a low monthly income were all significant predictors of depression. Conclusions: This study found that depressive symptoms are highly prevalent among HIV-positive patients in Bangladesh. The authors recommend that health care providers address depressive disorders for people with HIV/ AIDS comprehensively.

The effect of COVID-19 on employees' mental health

Long lockdowns, food shortages, and the inability to receive basic primary healthcare have aggravated the effects of pandemics. However, most studies have focused on the health problems of the infected people or the measures employed to keep the disease under control. This cross-sectional study focused primarily on the mental health issues of employees. By employing a convenient sampling method, we reached 237 respondents (135 with coronavirus history) to assess the impact of the pandemic on employees. Multivariate causal relationships were assessed with Structural Equation Modeling (SEM). The predictors included internal entrapment (INT) and difficulty identifying feelings (DIF), which are significant predictors of depression (DEPR). DIF was found to be a significant predictor of INT and EXT feelings, while FEAR was found to be a significant predictor of INT, DIF, and DEPR. Quality of life (QoL) was found to be a significant predictor of DIF and DDF, DEPR, EXT and INT, and FEAR. The results also showed that DIF mainly manifested its effect on depression through INT. The DEPR level of employees working only from home was higher than that of other employees. The depression levels of women, young employees, and those whose QoL was adversely affected by the coronavirus were higher than the rest.