Drinking Pattern, Abstention and Problem Drinking as Risk Factors for Depressive Symptoms: Evidence from Three Urban Eastern European Populations

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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Longitudinal relationship of diabetes and depressive symptoms in older adults from Mexico: a secondary data analysis

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2020-001789 ◽

2020 ◽

Vol 8 (2) ◽

pp. e001789

Author(s):

Teresa Alvarez-Cisneros ◽

Paloma Roa-Rojas ◽

Carmen Garcia-Peña

Keyword(s):

Risk Factors ◽

Older Adults ◽

Depressive Symptoms ◽

Secondary Data ◽

Random Effects Models ◽

Health Factors ◽

Longitudinal Association ◽

Common Risk Factors ◽

Nationally Representative ◽

Relationship Of

IntroductionSeveral studies have argued a causal relationship between diabetes and depression, while others have highlighted that their association is a result of common risk factors. Because Mexico is a country with a high prevalence of diabetes, and diabetes and depression are a frequent comorbidity, we chose this country to investigate the longitudinal relationship of these two conditions, focusing on the influence of demographic, health, and socioeconomic factors which could act as common risk factors for both conditions.Research design and methodsUsing the harmonized Mexican Health and Aging Study, a nationally representative sample of adults older than 50 with a response rate of 93%, we analyzed the longitudinal relationship of diabetes and depressive symptoms using ‘between-within’ random-effects models, focusing on the effect of demographic, socioeconomic and health factors.ResultsWhile older adults with diabetes reported a higher prevalence of depressive symptoms in the four waves of the study, there was no causal longitudinal association between them once controlling for demographic, socioeconomic and health factors (between-effect OR=0.88, 95% CI 0.77 to 1.01; within-effect OR=0.87, 95% CI 0.69 to 1.11).ConclusionsThere is no causal longitudinal association between diabetes and depression; the higher prevalence of depression among older adults with diabetes seems a result of socioeconomic and health factors that are not exclusive to respondents with diabetes but are more frequent in this group. Our results highlight the importance of prevention and control of chronic conditions as well as the role of socioeconomic inequalities in mental health.

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Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study

European Heart Journal ◽

10.1093/eurheartj/ehaa571 ◽

2020 ◽

Vol 41 (35) ◽

pp. 3325-3333 ◽

Cited By ~ 2

Author(s):

Taavi Tillmann ◽

Kristi Läll ◽

Oliver Dukes ◽

Giovanni Veronesi ◽

Hynek Pikhart ◽

...

Keyword(s):

Risk Factors ◽

Prediction Models ◽

Validation Cohort ◽

European Countries ◽

Eastern European ◽

Risk Prediction Models ◽

Derivation Cohort ◽

Score Model ◽

Eastern European Countries

Abstract Aims Cardiovascular disease (CVD) risk prediction models are used in Western European countries, but less so in Eastern European countries where rates of CVD can be two to four times higher. We recalibrated the SCORE prediction model for three Eastern European countries and evaluated the impact of adding seven behavioural and psychosocial risk factors to the model. Methods and results We developed and validated models using data from the prospective HAPIEE cohort study with 14 598 participants from Russia, Poland, and the Czech Republic (derivation cohort, median follow-up 7.2 years, 338 fatal CVD cases) and Estonian Biobank data with 4632 participants (validation cohort, median follow-up 8.3 years, 91 fatal CVD cases). The first model (recalibrated SCORE) used the same risk factors as in the SCORE model. The second model (HAPIEE SCORE) added education, employment, marital status, depression, body mass index, physical inactivity, and antihypertensive use. Discrimination of the original SCORE model (C-statistic 0.78 in the derivation and 0.83 in the validation cohorts) was improved in recalibrated SCORE (0.82 and 0.85) and HAPIEE SCORE (0.84 and 0.87) models. After dichotomizing risk at the clinically meaningful threshold of 5%, and when comparing the final HAPIEE SCORE model against the original SCORE model, the net reclassification improvement was 0.07 [95% confidence interval (CI) 0.02–0.11] in the derivation cohort and 0.14 (95% CI 0.04–0.25) in the validation cohort. Conclusion Our recalibrated SCORE may be more appropriate than the conventional SCORE for some Eastern European populations. The addition of seven quick, non-invasive, and cheap predictors further improved prediction accuracy.

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Depressive Symptoms as Relative and Attributable Risk Factors for First-Onset Major Depression

Archives of General Psychiatry ◽

10.1001/archpsyc.1992.01820100061011 ◽

1992 ◽

Vol 49 (10) ◽

pp. 817 ◽

Cited By ~ 277

Author(s):

Ewald Horwath

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

Major Depression ◽

Attributable Risk ◽

First Onset

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PREVALENCE AND RISK FACTORS OF DEPRESSIVE SYMPTOMS AMONG RETIRED NATIONAL FOOTBALL LEAGUE PLAYERS

The Gerontologist ◽

10.1093/geront/gnw162.2474 ◽

2016 ◽

Vol 56 (Suppl_3) ◽

pp. 612-613

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

National Football League

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Relationship between Depressive Symptoms and Cardiovascular Disease Risk Factors in African American Individuals

Depression Research and Treatment ◽

10.1155/2011/836542 ◽

2011 ◽

Vol 2011 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Ali A. Weinstein ◽

Preetha Abraham ◽

Guoqing Diao ◽

Stacey A. Zeno ◽

Patricia A. Deuster

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

African American ◽

Depressive Symptoms ◽

Disease Risk ◽

Cardiovascular Disease Risk ◽

Regression Analyses ◽

Cvd Risk Factors ◽

Cvd Risk ◽

The Relationship

Objective. To examine the relationship between depressive symptoms and cardiovascular disease (CVD) risk factors in a group of African American individuals.Design. A nonrandom sample of 253 (age 43.7 ± 11.6 years; 37% male) African American individuals was recruited by advertisements. Data were obtained by validated questionnaires, anthropometric, blood pressure, and blood sample measurements.Results. Regression analyses were performed to assess the relationship between depressive symptoms and CVD risk factors controlling for socioeconomic status indicators. These analyses demonstrated that those with higher levels of depressive symptoms had larger waist-to-hip ratios, higher percent body fat, higher triglycerides, and were more likely to be smokers.Conclusions. It has been well documented that higher levels of depressive symptoms are associated with higher CVD risk. However, this evidence is derived primarily from samples of predominantly Caucasian individuals. The present investigation demonstrates that depressive symptoms are related to CVD risk factors in African American individuals.

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Investigating Factors Associated with Depressive Symptoms of Chronic Kidney Diseases in China with Type 2 Diabetes

Journal of Diabetes Research ◽

10.1155/2017/1769897 ◽

2017 ◽

Vol 2017 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Xu Wang ◽

Biyu Shen ◽

Xun Zhuang ◽

Xueqin Wang ◽

Weiqun Weng

Keyword(s):

Quality Of Life ◽

Risk Factors ◽

Type 2 Diabetes ◽

Regression Analysis ◽

Depressive Symptoms ◽

Kidney Diseases ◽

Chronic Kidney Diseases ◽

Factors Associated

Aim.To assess the depressive symptoms status of chronic kidney diseases in Nantong, China, with type 2 diabetes and to identify factors associated with depressive symptoms.Methods.In this cross-sectional analytic study, 210 type 2 diabetic patients were recruited from the Second Affiliated Hospital of Nantong University. Depressive symptoms were assessed with the depression subscale of the Hospital Anxiety and Depression Scale (HAD-D). The quality of life was measured with the RAND 36-Item Health Survey (SF-36). And the independent risk factors of depressive symptoms were assessed by using a stepwise forward model of logistic regression analysis.Results.The mean age of the study subjects was 57.66 years (SD: 11.68). Approximately 21.4% of subjects reported depressive symptoms (n=45). Forward stepwise logistic regression analysis showed that female gender (P=0.010), hypertension (P=0.022), Stage IV (P=0.003), and Stage V (P<0.001) were significant risk factors for depressive symptoms. The quality of life of individuals with HAD-D score <11 was significantly better compared with individuals with HAD-D score ≥ 11.Conclusions.These results indicate that clinicians should be aware that female patients with chronic kidney diseases with T2DM in their late stage with hypertension are at a marked increased risk of depressive symptoms. Providing optimal care for the psychological health of this population is vital.

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