Prevalence of depression and its relationship with work characteristics in a sample of public workers

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

BACKGROUND

Depression 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.

METHODS

A 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.

RESULTS

According 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.

CONCLUSIONS

Approximately 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.

Association of Night Shift Work With Chronic Spontaneous Urticaria and Effect Modification by Circadian Dysfunction Among Workers

Purpose: Night shift work is common in the current working environment and is a risk factor for many diseases. The study aimed to explore the relationship between night shift work with chronic spontaneous urticaria (CSU), and the modification effect of circadian dysfunction on it. Methods: A cross-sectional survey was conducted among Chinese workers. Exposure was measured by night work history and duration. Circadian dysfunction was characterized by excessive daytime sleepiness (EDS). The diagnosis of CSU was made by dermatologists who were investigating on the spot. The effect size was expressed as odds ratios (ORs). Results: A total of 8,057 participants were recruited, and 7,411 (92%) with complete information were included in the final analyses. The prevalence rates of CSU for workers without night shift and those with night shift history were 0.73 and 1.28%, respectively. Compared with workers who never worked night shifts, the risk of CSU increased with the length of night shift work: OR = 1.55 (95% confidence interval [CI]: 0.78-3.06) for duration <5 years and OR = 1.91 (95% CI: 1.12-3.26) for duration ≥5 years. EDS s EDS has been shown to modify this combination. Among workers without EDS, there was no association between night shift and CSU (OR = 0.94; 95% CI: 0.49-1.79). Whereas, in participants with EDS, the correlation was significant (OR = 3.58; 95% CI: 1.14-11.20). However, the effect modification by sleep disturbance was not observed. Conclusions: Night shift work is a risk factor for CSU, and there is a dose-response relationship between night shift work hours and the risk of CSU. This connection may be modified by circadian dysfunction.

An analysis of shiftwork and self-reported depressive symptoms in a police cohort from Buffalo, New York

Shiftwork has been associated with elevated depressive symptoms; police officers frequently work shifts and may experience depressive symptoms. This study assessed the association between depressive symptoms and shiftwork in a police cohort from Buffalo, New York, USA using a repeated cross-sectional design with data collected in 2004-2009 (n = 428) and 2010-2014 (n = 261). Electronic payroll records were used to quantitatively classify officers on the day, evening, or night shift based on the shift they spent most of their working hours. Two self-reported depressive symptomology measures were used as outcomes - the Center for Epidemiological Studies - Depression (CES-D) scale and the Beck Depression Inventory (BDI). Repeated measures linear and logistic regression analyses were used to estimate least squares means or odds, respectively, of depressive symptom questionnaire scores by shiftwork category. Those working the evening/night shift had higher odds for depressive symptoms according to the BDI (based on a cut-point score of 14) than those working the day shift (OR = 4.60, 95% CI = 1.15-18.39). Similar results were observed for the evening shift group. No differences in mean CES-D or BDI scores were observed between groups for short-term shiftwork, long-term shiftwork, or shift changes. After stratifying by stress, as measured by the Perceived Stress Scale (PSS), total Impact of Events (IES), and the Spielberger Police Stress Survey (SPSS), mean values for depressive symptoms were higher in the high-stress categories regardless of shiftwork status. Further research should include biomarkers for depression, a longitudinal study design with a larger cohort, and joint effects of shiftwork and stress on depressive symptoms.

Leave of absence due to depression

Objective:

to analyze the occurrence of leave of absence due to depression among workers.

Method:

census, descriptive-analytical study, with retrospective collection. Population composed of 2,267 workers on leave due to depression with data from the Unified Benefits Information System. The independent variables were: sex, age group, income; county, origin, number of leaves of absence and type of benefit. For data analysis, descriptive statistics were used and the chi-square and Fisher’s exact tests were applied. The variables that presented a value of p≤0.20 were submitted to logistic regression.

Results:

there was a predominance of females, age ≥50 years, from the capital, with income of one to two minimum wages, urban origin and single removal. Single leaves of absence occurred mainly due to a mild depressive episode and the benefit granted to the significant majority was social security sickness benefit. Among those who were on leave of absence more than once, the main cause was recurrent depressive disorder, a current mild episode and, in terms of benefit, social security sickness benefit. There was a statistical association between total time and absence from work. In logistic regression, it was found that the time ≥60 days, was 3.1 times longer in recurrent depressive disorder.

Conclusion:

there were an expressive quantitative number of absences due to depression, in which it was observed, especially, that the absence time remained long.

Oxidative Stress-Related Endothelial Damage in Vascular Depression and Vascular Cognitive Impairment: Beneficial Effects of Aerobic Physical Exercise

Oxidative stress- (OS-) related endothelial damage is involved in the occurrence and progression of several disorders, such as vascular depression and dementia. It has been reported that moderate, aerobic, physical exercise could reduce OS and inflammation, thus limiting the cardiovascular risk factors while improving endothelial homeostasis, mood, and cognition. In this review, we will discuss about the role of OS and OS-related endothelial damage in vascular depression and vascular cognitive impairment. Then, we will comment on the effects of physical exercise on both disorders.

Night shift work before and during pregnancy in relation to depression and anxiety in adolescent and young adult offspring

We investigated the relationship between maternal history of nightshift work before and shift work during pregnancy and offspring risk of depression and anxiety, among mothers participating in the Nurses Health Study II and in their offspring enrolled in the Growing Up Today Study 2 between 2004 and 2013. Case definitions were based on offspring self-reports of physician/clinician-diagnosed depression and/or anxiety, regular antidepressant use and depressive symptoms assessed using the Center for Epidemiologic Studies Depression Scale. Multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using generalized estimating equation models. We found no associations between maternal nightshift work before pregnancy or during pregnancy and offspring mental health disorders (e.g., nightshift work before pregnancy: depression (based on physician/clinician diagnosis): OR_{ever nightwork}= 1.14; 95% CI, 0.88-1.47; either depression or anxiety: OR_{ever nightwork}= 0.93; 95% CI, 0.81-1.08; nightshift work during pregnancy: depression: OR_{ever nightwork}= 1.14; 95% CI, 0.68-1.94; depression or anxiety: OR_{ever nightwork}=1.17; 95% CI, 0.70-1.98) and no dose-response relationship with longer history of nightshift work (all P_Trend>0.10). Stratifying by maternal chronotype revealed a higher risk of depression for offspring whose mothers worked nightshifts before pregnancy and reported being definite morning chronotypes (a proxy for circadian strain) (OR_{ever nightwork}= 1.95; 95% CI, 1.17, 3.24 vs. OR_{ever nightwork}= 0.93; 95% CI, 0.68, 1.28 for any other chronotype; P_Interaction= 0.03). Further studies replicating our findings and refined understanding regarding the interplay of nightshift work and chronotype and its potential influences on offspring mental health are needed.

Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context

Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers’ groups. The main depression risk factors reported were: “Changes in sleep”, “Loss of energy”, “Tiredness or fatigue” and “Loss of interest”. However significant differences were found by gender in “Changes in appetite”, “Difficulty of concentration” and “Loss of interest in sex”; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community.