Significant Predictors Of Depressive Symptoms Research Articles

The moderating role of stigma in the relationship between depression and resilience: results of a cross-sectional study in university students.

Depression is a growing concern in university students and resilience has shown to play a protective role. The impact of stigma is still under-explored, with reference to its moderating role between depression and resilience. The present study investigate such a relationship among Italian university students. A cross-sectional design was applied in a simple of 1,912 students to examine the interrelationships between depression (Patient Health Questionnaire-9), resilience (Nicholson McBride Resilience questionnaire), and stigma (Stigma-9). Correlation, predictor, and moderation analyses were applied in RStudio. A negative correlation was found between depressive symptoms and resilience (r = -0.455, p < 0.001). A positive correlation was found between depressive symptoms and stigma (r = 0.207, p < 0.001). Lower levels of resilience and higher levels of stigma were significant predictors of depressive symptoms [F(df, n) = 190.8(3, 1884), p < 0.001, R2 = 0.236]. The moderation analysis showed a weakening of resilience protective effect against depression as stigma levels increase [F(df,n) = 186.7(3,1908), p < 0.001, R2 = 0.226]. Stigma influences the relationship between depression and resilience. Anti-stigma interventions and programs empowering resilience, should be implemented in university settings to protect students from depression.

A path analysis investigation into menopausal osteoporosis, sarcopenia risk, and their impact on sleep quality, depressive symptoms and quality of life

PurposeThe objective was to investigate the relationships among disease characteristics, sarcopenia risk, bone function, sleep quality, depressive symptoms, and health-related quality of life in menopausal women. Additionally, we also examined the potential mediating role of coping in the relationship between these factors and health outcomes for individuals with osteoporosis. MethodsIn a cross-sectional approach, 201 participants were referred by a physician from the Family Medicine Department during their outpatient visits at a general hospital in Southern Taiwan. Data collection involved structured one-on-one interviews, and the analysis included descriptive and inferential statistics, along with a structural equation modeling. ResultsThe participants' bone function was strongly positively related to coping, physical and mental quality of life (QOL), and negatively related to sleep quality and depressive symptoms. The duration of osteoporosis was positively related to pain, sarcopenia risk, sleep quality, but negatively related to bone function, physical and mental QOL. This structural framework explains 36% of the variance in depressive symptoms, 25% in sleep disturbances, 54% in mental QOL, and 72% in physical QOL. The best-fit structural equation modeling showed that physical function, exercise, sarcopenia, pain, and coping were significant predictors of depressive symptoms, with coping acting as a mediator in these relationships. ConclusionIndividuals who employed more active coping strategies exhibited fewer depressive symptoms, better sleep quality, and superior physical and mental QOL. Further, individuals with osteoporosis had lower pain levels, less sarcopenia risk, and higher engaged in exercise presentation improved physical and mental QOL. Future longitudinal research holds the promise of providing deeper insights into these complex relationships.

Fatalistic and Optimistic Coping Strategies Predict Depression in Arab Muslim Patients With End-Stage Renal Disease.

Depression is one of the common psychological problems in patients on hemodialysis. We aimed to identify the predictors associated with depressive symptoms among patients on hemodialysis from a population under-represented in research and minoritized in countries like the United States. This cross-sectional study used a convenience sample of patients in Oman. Data were analyzed using linear multiple regression. A total of 157 patients on hemodialysis participated in the study, with 40.5% reporting different levels of depressive symptoms. Higher stress levels (β = .643; p < .01) and higher perceived effectiveness of the fatalistic coping style (β = .144; p < .05) were significant predictors of depressive symptoms. Patients with a higher optimistic coping style (β = -.182; p < .01) had lower levels of depressive symptoms. Arab Muslim hemodialysis patients have significant levels of depressive symptoms. Identifying predictors of depressive symptoms may help identify those at risk and provide culturally appropriate interventions.

DEPRESSIVE SYMPTOMS AND SUBJECTIVE COGNITIVE FUNCTION IN OLDER ADULTS WITH MULTIMORBIDITY

Abstract Among older adults with multimorbidity (MM), depression has been associated with poorer cognitive function and vice versa; however, evidence for this temporal association is limited. Further, while the relationship between depression and cognitive function is commonly studied with dementia, less is known about the relation of depression to cognitive impairment (SCI) in older populations without dementia. We compared bidirectional models of the relationship between depressive symptoms and SCI among community-dwelling older adults with MM. Adults ≥ 62 years with MM (n = 107) recruited through a national health volunteer registry completed validated scales twice, six months apart, assessing chronic illnesses, SCI (PROMIS Cognitive Function Short Form 4a), and depressive symptoms (Geriatric Depression Scale 15). Regression analyses examined two models of depressive symptoms and SCI over time (comparing causal direction), adjusting for age, gender, and number of diseases. Participants were 63-87 years old and living with multiple illnesses (M = 4.2; range: 2-9); 21% reported moderate-to-severe depressive symptoms. Depressive symptoms at the first time point significantly predicted SCI six months later after controlling for baseline SCI (β = -.335; p &amp;lt; .001), such that greater depressive symptoms were associated with poorer SCI in adjusted six-month models. In comparison, SCI at baseline was not a significant predictor of depressive symptoms after controlling for initial depressive symptoms (β = -.057; p = .53) in adjusted models. Among older adults with MM, depressive symptoms may be a risk factor for future SCI or a prodromal symptom of cognitive impairment.

Addictive Social Media Use and Depressive Symptoms in Adolescents

Abstract: Theoretical Background: The use of social media has become an integral part of the lives of young people. Negative effects on mental health have been reported previously; however, it remained unclear whether the amount of time spent with social media use per se or its usage patterns lead to possible impairments. Addictive use is characterized by compulsive usage patterns in contrast to a flexible use. Objective: The present work investigated the associations between the amount of time spent with social media, the usage pattern (i. e., addictive use vs. flexible use), and the occurrence of depressive symptoms. Method: Cross-sectional data based on the self-reports of 513 high-school students aged 11 – 19 ( M = 12.91, SD = 1.02) from 39 classes (18 schools) in Baden-Wuerttemberg, Germany, are presented. Hierarchically linear models accounted for the nested structure and were applied to investigate the predictive significance of time spent with social media and addictive use of social media on depressive symptoms. Results: Addictive use of social media could be identified as a significant predictor of depressive symptoms and explained 17 % of variance in depressive symptoms in the present model. Time spent with social media use did not explain a significant share of variance in depressive symptoms, after controlling for addictive social media use. Discussion and Conclusion: These findings highlight that it is not the time spent on social media per se, but the addictive usage patterns that explain a significant share of depressive symptoms in adolescents. Although a reciprocal or circular association between both disorders can be assumed, addictive usage patterns of social media may represent a potential risk to adolescents’ mental health. To prevent negative consequences of social media use, interventions should focus on the particular functionality of social media use.

Anger sensitivity and relatedness frustration as predictors of depression

Depression is more prevalent in individuals raised in cold and violent families, which can lead to a lack of connection or frustration in relationships and heightened sensitivity to signs of danger, such as anger on faces. These factors can both exacerbate symptoms of depression. However, research into the links between depressive symptoms and relatedness frustration, as well as depressive symptoms and anger sensitivity, has been limited. This study aims to address this gap by investigating these relationships. The study recruited 1241 participants from the general population, who completed an online task involving the recognition of emotions on morphed faces and questionnaires measuring depression (Hospital Anxiety and Depression Scale, HADS-M) and relatedness frustration (Basic Psychological Need Satisfaction and Frustration Scale, BPNSFS). As expected, the results showed that depressive symptoms were positively associated with relatedness frustration, however, were negatively associated with anger sensitivity. Both factors were also found to be significant predictors of depressive symptoms. Our results are noteworthy especially given the fact that we are living in a time of staying in the home for extended periods of time, which is associated with cognitive decline and depression.

The Association between Internalizing Symptoms and Witnessing School Bullying and Defending Behavior: An Analysis of Gender Differences among Elementary and Middle School Students.

Bullying is a significant public health concern that begins as early as elementary school and peaks in middle school. Although researchers have demonstrated the relationship between internalizing symptoms and being a target of bullying, there is limited research examining the association between internalizing symptoms and witnessing school bullying and defending targets or gender differences in these relationships. In this cross-sectional study, we examined gender as a moderator of the relationships between internalizing symptoms (e.g., depressive symptoms and social anxiety) and witnessing school bullying and defending behavior in a sample of elementary and middle school students (N = 126; 51.6% female; 3rd-8th grade). Results demonstrated that witnessing school bullying was a significant predictor of depressive symptoms. For social anxiety, the gender x witnessing school bullying interaction was significant for social avoidance and distress (SAD), such that among female students, SAD was positively related to witnessing school bullying. In contrast, the gender x defending behavior interaction was significant for fear of negative evaluation (FNE), such that among male students, FNE was positively related to defending behavior. Findings suggest bullying prevention should incorporate bystander training programs that include a focus on gender differences in social anxiety associated with being a bullying bystander.

Fear of Happiness Predicts Concurrent but not Prospective Depressive Symptoms in Adolescents.

It is increasingly recognised that the study of responses to positive emotions significantly contributes to our understanding of psychopathology. Notably, positive emotions are not necessarily experienced as pleasurable. Instead, some believe that experiencing happiness may have negative consequences, referred to as fear of happiness (FOH), or they experience a fear of losing control over positive emotions (FOLC). According to reward devaluation theory, such an association of positivity with negative outcomes will result in positive stimuli being devalued over time, contributing to or maintaining depressive symptoms. The prospective relationship between fears of positivity and depressive symptoms is yet to be examined in adolescents. The present longitudinal study investigated whether FOH and FOLC prospectively predict depressive symptoms. 128 adolescents between 16-18 years of age (M = 16.87, SD = 0.80) recruited from two secondary schools in Flanders, Belgium, completed measures of depressive symptoms (Depression Anxiety Stress Scales) including consummatory anhedonia, FOH (Fear of Happiness Scale), and FOLC (Affective Control Scale) in their classroom at baseline and 2-months follow-up. Regression analyses were performed to test the association between FOH, FOLC, and depressive symptoms. FOH concurrently, but not prospectively, predicted depressive symptoms. There was no significant association between FOH and consummatory anhedonia. FOLC was not a significant predictor of depressive symptoms or consummatory anhedonia. These findings suggest that FOH may only be concurrently related to depressive symptoms. Considering prior findings in adults, future research should investigate the association of FOH with anticipatory anhedonia in adolescents.

Later-life depressive symptoms during the Covid-19 pandemic: Investigations of individual, cumulative, and synergistic effects of social isolation

Objectives This study examines associations between social isolation and depressive symptoms among Hong Kong Chinese adults aged 65 and older by investigating the distinct effects of individual indicators, cumulative index, and typologies of social isolation during the Covid-19 pandemic. Methods We used a sample of 260 older adults from a cross-sectional, city-wide online survey targeting 1,109 aged 45+ adults through purposive sampling. Seven indicators of social isolation (not married; living alone; not engaging in social/organizational activities; no social contact with friends or families; lack of family and friends networks; loneliness) using Cornwell & Waite’s framework were selected to construct three unique types of social isolation measures. We used latent class analysis (LCA) and regression models to examine the effects of varied typologies of social isolation on depressive symptoms. Results Individual model of social isolation showed that lack of social contact and feeling lonely were significant predictors of depressive symptoms. A strong linear-trend gradient effect of cumulative social isolation on depressive symptoms was also observed. The LCA model identified four typologies of social isolation (socially isolated; living alone but socially engaged; married but lacking social ties, and not socially isolated); those in the ‘socially isolated’ and ‘married but lacking social ties’ groups had the most depressive symptoms. Conclusion Three operationalizations of social isolation demonstrated different utilities and implications in assessing the impacts of social isolation on depressive symptoms. Social contacts and loneliness, rather than living status or other characteristics of isolation, were the factors most strongly associated with depressive symptoms. Support programs should target lonely older adults who lack social engagement opportunities, as they are at increased risk of depression.

Mental distress links with physical activities, sedentary lifestyle, social support, and sleep problems: A Syrian population cross-sectional study.

Mental diseases are very widespread and difficult to treat, affecting around 12% of the global population in 2019. Since social interaction is crucial to human existence and loneliness has been proven to be a significant predictor of depressive symptoms, it stands to reason that social connection problems would also contribute to depression. Physical inactivity seems to weaken and aggravate insulin tolerance alterations, glucose homeostasis, and plasma triglyceride levels, thereby influencing one's mood and happiness. This suggests that physical inactivity may be a significant risk factor for mental illness. This research contributes to our understanding of the mental health situation in Syria by exploring associations between a set of measurable characteristics that may be adjusted. An online quantitative cross-sectional study was conducted between March and April 2022 in Syria, using a structured questionnaire that assesses data on behaviors of health, health in general, wellbeing, and adult population quality of life. Among 1,224 respondents (371 men and 853 women), women have shown higher levels of mental distress, sleep issues, low engagement in structured activities, and a difficult work environment than men. Women experiencing mental anguish have reported being more sedentary, participating in less scheduled activities, and receiving less social support. There are observable connections between high sedentary time and women experiencing mental distress. The mental health of Syrian women in distress was associated with a lack of participation in both organized activities and physical exercise in their free time. Furthermore, sleep issues and financial troubles were seen in persons with mental diseases of both males and females.

Combat Exposure and Unit Cohesion as Predictors of Depressive Symptoms Among Nigerian Soldiers

The Bokoharam terrorist organisation has been terrorizing North Eastern Nigeria for decades. The Nigerian Army has been saddled with the responsibility of re-establishing peace in that area through its counterterrorism and counterinsurgency operations. Some of the soldiers who were injured at course of this operation were found to have some challenges with their wellbeing. This study was carried out among Nigerian Soldiers wounded in action and hospitalized from the fight against Insurgency in the North-eastern part of Nigeria. Purposive sampling technique was employed to select 225 participants under hospital admission in 44 Nigerian Army Reference Hospital Kaduna with combat experience. Data were collected using standardized questionnaires. Hierarchical multiple regression analysis was used to test the hypotheses in relation to Combat Exposure and Unit Cohesion as predictors of Depressive Symptoms. Findings of the study revealed that Combat Exposure significantly predicted Depressive symptoms among Nigerian Soldiers wounded in action (β = .583, P &lt;.01). Result further revealed that Unit Cohesion was a significant predictor of Depressive Symptoms among the soldiers wounded in action (β = -.177, P &lt;.01). Finally, the result revealed that combined Combat Exposure and Unit Cohesion significantly predicted Depressive Symptoms among Nigerian soldiers wounded in action (R = .647a, R2 = .418, Adj. R2 = .411; P &lt;. 01). The study recommended that the military authorities should effectively engage the services of mental health professionals such as the Psychologists to help in assessment and treating soldiers with combat trauma. Also, mood disorder alongside other factors such as life experience should be assessed as applied to the patients especially soldier patients being referred from combat arears irrespective of the nature of the health challenges as this study has shown that there is mental aspect of physical injury. Most of the soldiers are traumatized, overly depressed, feel guilty and have bad mood, poor appetites, insomnia, lack of motivation, rage, and abuse of drugs and alcohol.

Moderating effects of PER3 gene DNA methylation on the association of sleep quality with mental health in Chinese young adults

BackgroundPoor sleepers have a higher prevalence of mental health problems, and vice versa. However, the mechanisms underlying this association remain unknown. We aimed to examine the bidirectional association between sleep quality and mental health, and further explore the moderating effects of PER3 gene DNA methylation on the association. MethodsThis prospective longitudinal study was conducted from April 2019 to May 2021, integrated questionnaire and blood sample data from 2 universities in Anhui and Jiangxi Provinces. The current study recruited 1179 young adults at baseline and conducted the follow-up survey among 1135 half a year later. The sleep quality and depressive symptoms, anxiety symptoms, and stress symptoms were assessed using a questionnaire at baseline and follow-up. Blood samples were collected at baseline, and MethyTarget™ was used to detect the PER3 gene DNA methylation level. A cross-lag model was used to examine the bidirectional association between sleep quality and mental health. The PROCESS plug-in of SPSS software was used to analyse the moderating effects of PER3 gene DNA methylation. ResultsCross-lagged analyses suggested a significant bidirectional relationship between poor sleep quality and depressive symptoms, anxiety symptoms, and stress symptoms. Sleep quality at baseline was a significant predictor of depressive symptoms (β = 0.344, P < 0.001), anxiety symptoms (β = 0.348, P < 0.001), and stress symptoms (β = 0.324, P < 0.001) half a year later. Depressive symptoms (β = 0.049, P < 0.001), anxiety symptoms (β = 0.055, P < 0.001), and stress symptoms (β = 0.063, P < 0.001) at baseline were also significant predictors of poor sleep quality half a year later. Furthermore, PER3 gene DNA methylation has negative moderating effects between sleep quality at baseline and depressive symptoms (β = −11.706, P = 0.012), anxiety symptoms (β = −10.289, P = 0.019), and stress symptoms (β = −10.799, P = 0.024) half a year later and a sex difference. Among boys, PER3 gene DNA methylation has positive moderating effects between anxiety symptoms at baseline and sleep quality (β = 3.337, P = 0.018) half a year later. However, there was no association between mental health at baseline and sleep quality half a year later among girls. ConclusionBidirectional relationships were identified between sleep quality and mental health among Chinese young adults during the study period. DNA methylation evidence supports a negative moderating effect of PER3 gene DNA methylation on the relationship between sleep quality at baseline and mental health half a year later and had sex differences. Among boys, PER3 gene DNA methylation had positive moderating effects between anxiety symptoms at baseline and sleep quality half a year later. These findings point to the importance of circadian clock gene DNA methylation in the relationship between sleep quality and mental health.

The Prevalence of Depression Symptoms and Their Socioeconomic and Health Predictors in a Local Community with a High Deprivation: A Cross-Sectional Studies.

Depression is a heterogeneous and etiologically complex psychiatric syndrome thatshows a strong sexual dimorphism and often impacts people with a low socioeconomic status (SES). The aim of the study was to estimate the occurrence of depression symptoms in a local community with a high deprivation rate, the example being the inhabitants of the JanówLubelski County in eastern Poland. A cross-sectional study was carried out on 3752 people aged between 35 and 64. The prevalence of depression symptoms was assessed using the Patient Health Questionnaire-9 (PHQ-9) scale. In the screening for depression symptoms in the entire population we studied, the risk of depression symptoms was 16.1% (n = 605), with women having a significantly higher mean score than men (p < 0.001). Significant predictors associated with the achievement of 10 points and more in the PHQ-9 assessment in the case of women and men were: living alone, education and having comorbidities. Moreover, female participants living in rural areas were significantly more likely to exhibit depression symptoms, whereas smoking was a significant predictor of depressive symptoms in men. It was observed that in the case of obese women, the chance of being in the higher category of the PHQ-9 assessment was 1.41 times higher than in women with normal body weight. However, in the case of men, an increase in age by one year increased the chance of being in a higher category by 1.02 times. Moreover, the odds of falling into a higher category, as assessed by the PHQ-9 questionnaire, among men who drink alcohol more than once a week was 1.7 times higher than in men who do not drink or consume alcohol occasionally. Summarising the results of studies conducted in a local community characterised by a high deprivation rate, socioeconomic and health variables related to SES significantly impacted the incidence of depression, but they differ in terms of gender.

Prevalence and predictors of depressive symptoms among married Egyptian women: a multicenter primary healthcare study

BackgroundDepression affects about 3.8% of the world’s population. Although marriage may contribute to subjective well-being, some marital variables could increase women’s risk for depression. This study aimed to determine the prevalence of depressive symptoms and their correlates among married females attending primary healthcare facilities.MethodsA cross-sectional study was conducted on a purposive sample of 371 married women at the primary healthcare centers, Assiut Governorate, Upper Egypt. In this study, an interviewer-administered questionnaire was used for data collection. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9) and marital satisfaction using the ENRICH Marital Satisfaction Scale (EMS). Standardized measurements of weight and height were performed.ResultsAccording to the PHQ-9 diagnostic criteria, the prevalence of depressive symptoms among the studied married females was 30.2%. The significant predictors of depressive symptoms were advanced husbands’ ages, living with an extended family, exposure to spousal verbal violence, high body weight, and low marital satisfaction levels.ConclusionsApproximately one-third of married Egyptian women experienced depressive symptoms. In addition to high body weight, some social and marital factors contributed to the increase in women’s vulnerability to depressive symptoms. Egyptian primary healthcare physicians should be trained to identify females with depressive symptoms and refer them to specialists if need be. To combat depression in women, it may be helpful to construct qualified marital counseling centers. This may improve marital satisfaction, decrease the negative consequences of spousal violence, and ensure the value of independence for new families.

Correlates of Mental Health in Adolescents and Young Adults with Cerebral Palsy: A Cross-Sectional Analysis of the MyStory Project.

Background: It is important to gain a better understanding of mental health issues in adolescents and young adults (AYA) with cerebral palsy (CP). In this cross-sectional study, we explore if demographics, social and clinical questionnaire scores, and cortisol levels in hair samples from AYA with CP are associated with higher scores on anxiety and/or depression questionnaires. Methods: Data from a community-based sample of 63 AYA with CP (30 females; ages 16 to 30 (median age of 25)) were analyzed. Forty-one (65%) participants (20 females) provided a hair sample. Outcomes were assessed using bivariate linear regression analyses and hierarchical regression analyses. Results: Clinical depressive and anxiety symptoms were present in 33% and 31% of participants, respectively. Family functioning, B = 9.62 (95%CI: 5.49–13.74), fatigue, B = 0.15 (95%CI: 0.05–0.25), and pain, B = 1.53 (95%CI: 0.48–2.58) were statistically significant predictors of depressive symptoms. Fatigue, B = 0.24 (95%CI: 0.12–0.35) and pain, B = 1.63 (95%CI: 0.33–2.94) were statistically significant predictors of anxiety. Cortisol levels from hair samples were not found to be associated with depressive symptoms or anxiety. Conclusions: A high prevalence of mental health problems and co-occurring physical problems was found in AYA with CP. Integrating mental support into regular care for AYA with CP is recommended.

Romantic Relationships and Mental Health: Investigating the Role of Self-Expansion on Depression Symptoms

Close relationships have the potential to fundamentally alter relationship partners’ self-concepts and, consequently, can impact individuals’ mental health. One type of relationship-induced self-concept change is self-expansion, which describes the cognitive reorganization of the self that can occur when individuals include aspects of their partner into the self, or when they share novel and challenging activities together. In the current research, we hypothesized that greater self-expansion would be associated with fewer depression symptoms. In support of this hypothesis, across four studies using cross-sectional, dyadic, daily diary, and longitudinal methodologies, we found that self-expansion was negatively associated with depression symptoms. This association was robust and remained a significant predictor of depression symptoms when controlling for demographic factors (gender, age, relationship length; Studies 1–4) and known risk factors of depression (dysfunctional attitudes, major life stressors, self-concept clarity; Study 2). Moreover, individuals’ self-expansion negatively predicted depression symptoms at the daily level (Study 3) and longitudinally over 9 months (Study 4). These results are the first to show the link between self-expansion and depression symptoms, suggesting that self-expansion may have robust benefits for individuals, beyond improving relationship dynamics.

High levels of depressive symptoms and low quality of life are reported during pregnancy in Cape Coast, Ghana; a longitudinal study.

BackgroundSignificant rates of anxiety, depressive symptoms, and low quality of life (QoL) have been found among pregnant women in developed countries. These psychosocial disturbances have not been adequately assessed during pregnancy in many developing countries.MethodsWomen were recruited in their first trimester of pregnancy (< 13 weeks; n = 116) and followed through to their 2nd (n = 71) and 3rd (n = 71) trimesters. Questionnaires were used to collect data on anxiety symptoms (Beck Anxiety Inventory; BAI), depressive symptoms (Center for Epidemiological Studies-Depression Inventory; CES-D), and quality of life (RAND SF-36; QoL). Psychometric analyses were used to determine the reliability of the questionnaires in this context. The proportion of pregnant women with psychosocial disturbances at each trimester was determined. Repeated measures ANOVA were used to examine changes in psychosocial outcomes over time; and generalized estimating equation to determine if gestational age predicted the psychosocial outcomes whilst controlling for sociodemographic variables.ResultsParticipants were aged 27.1 ± 5.2 years, on average. Psychometric analyses revealed a 4-factor solution for BAI (18 items), 1-factor solution for CES-D (13 items) and 4-factor solution for RAND SF-36 (26 items). The prevalence estimate of psychosocial disturbances was 34%, 10%, 2% (anxiety), 49%, 31%, 34% (depressive symptoms), and 46%, 37%, 59% (low QoL) for 1st, 2nd and 3rd trimesters, respectively. Gestational age and food insecurity were significant predictors of depressive symptoms, anxiety symptoms and QoL.ConclusionsIn this population of Ghanaian women, the levels of depressive symptoms and low QoL observed across pregnancy should be recognized as major public health problems and efforts to address these should be put in place. Addressing food insecurity may be a major step to solve not only the physical needs of the pregnant woman but also the psychological needs.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12889-022-13299-2.

High neutrophil-to-lymphocyte ratio is a significant predictor of depressive symptoms in maintenance hemodialysis patients: a cross-sectional study

BackgroundDepression is one of the most important psychiatric disorders in chronic kidney disease patients who undergo maintenance hemodialysis (MHD). Previous studies have shown that low-grade inflammation is involved in the progression of depressive symptoms. The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker that is inexpensive and easy to measure. However, the association between NLR and depression symptoms in MHD patients has not been examined.MethodsIn this single-center, cross-sectional study, we included 160 patients undergoing MHD. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms. NLR was calculated as the ratio of neutrophils to lymphocytes. Multinomial logistic regression and multivariate linear regression analyses were used to examine the association between NLR and depressive symptoms in MHD patients.ResultsDepressive symptoms were detected in 36.7% of the 160 MHD patients. Multinomial logistic regression showed that NLR was a significant predictor of mild (odds ratio [OR]: 1.383, 95% confidence interval [CI]: 1.015–1.884, p = 0.04) and moderate/moderately severe depressive symptoms (OR: 1.441, 95% CI: 1.017–2.042, p = 0.04) in MHD patients, adjusted for age, sex, Kt/V, dialysis duration, history of kidney transplantation, history of hypertension, and Charlson comorbidity index score. In addition, multivariate linear regression analysis showed that NLR was an independent influencing factor for PHQ-9 score in MHD patients, after adjusting for confounding factors.ConclusionsThese findings suggest that NLR can be used as a biomarker for predicting depressive symptoms in MHD patients.

Can Cognitive Control and Attentional Biases Explain More of the Variance in Depressive Symptoms Than Behavioral Processes? A Path Analysis Approach

BackgroundThis study explored the proportion of variance in depressive symptoms explained by processes targeted by BA (activation, behavioral avoidance, anticipatory pleasure, and brooding), and processes targeted by cognitive control training (cognitive control, attentional biases, and brooding).MethodsFive hundred and twenty adults were recruited. They completed a spatial cueing task as a measure of attentional biases and a cognitive task as a measure of cognitive control and completed self-report measures of activation, behavioral avoidance, anticipatory pleasure, brooding, and depressive symptoms. With path analysis models, we explored the relationships between these predictors and depressive symptoms.ResultsBA processes were significant predictors of depressive symptoms, and activation partially predicted anticipatory pleasure, which in turn predicted depressive symptoms. However, cognitive control and attentional biases predicted neither brooding nor depressive symptoms. A comprehensive model including all processes fit the data but did not explain more of the variance in brooding or depressive symptoms than a model including only BA processes.LimitationsThe spatial cueing task was associated with low reliability and the use of a non-clinical sample limited the generalizability of the conclusions.ConclusionActivation, behavioral avoidance, brooding, and anticipatory pleasure are relevant processes to target in order to reduce depressive symptoms, while cognitive control and attentional biases are not.

Relationship between work\u2013family conflict, sleep quality, and depressive symptoms among mental health nurses

BackgroundNursing has a reputation for being one of the most stressful occupations. As a result of their work, many nurses suffer from anxiety and depression. Nurses are also at risk of poor sleep owing to their work nature. This study aimed to examine the relationship between work–family conflict, sleep quality, and depressive symptoms among mental health nurses. A descriptive cross-sectional study design was utilized in this study. Setting/sample: This study was conducted at El Azazi Hospital for Mental Health, Al-Sharkia Governorate on 139 mental health nurses. Four tools were used in this study: Socio-demographic data sheet, Work–Family Conflict Scale, Arabic Pittsburgh Sleep Quality Index, and Arabic Center for Epidemiologic Studies Depression Scale.ResultsResults revealed that, a significant percentage of mental health nurses suffered from poor sleep quality and depressive symptoms, there were highly statistically significantly positive correlations between work–family conflict (WFC) and both of Pittsburgh Sleep Quality Index (PSQI) and depressive symptoms among nurses.ConclusionsWorking with psychiatric patients affected their nurses, which disturbed their sleep quality and led to depressive symptoms. As well, increasing work–family conflict in mental health nurses leads to poor sleep quality and depressive symptoms. Family interference with work, sleep quality, and work interference with family were statistically significant predictors of depressive symptoms.