Depression, anxiety and stress, comorbidity evaluation among a large sample of general adults: results from SEPAHAN study

Depression, anxiety and stress are common psychological disorders (PDs).This study aimed to assess the odds of co-occurrence of mentioned PDs in total sample and different levels of socio-demographic characteristics, specifically among a large sample of general adults.Ina cross-sectional, community-based study conducted among 4763 Iranian adults, depression and anxiety were assessed with Hospital Anxiety and Depression Scale (HADS) and stress with General Health Questionnaire (GHQ). The loglinear analysis was applied to investigate their comorbidities. Based on selected models with pair-comorbidity of anxiety with stress, depression with stress, and anxiety with depression, the results showed the odds of comorbidity between anxiety and depression (odds ratio (OR) =12.29, 95%CI: 9.58-15.80), depression and stress (OR = 7.80, 95%CI:6.55-10.18), and stress and anxiety (OR = 4.62, 95%CI:3.71-5.75). Also, ORs of pair-comorbidities were the same, except between stress and anxiety for men compared to women (adjusted-OR = 6.47, 95%CI: 4.44-9.49 versus 3.85, 95%CI:2.95-5.00) and comorbidity between stress and depression for the participants withlower than 40 years compared to others (adjusted-OR = 9.03, 95%CI: 7.17-11.36 versus 6.41, 95%CI: 4.90-8.41), p< 0.05. Stress comorbidity with depression was higher level than other pair-comorbidities. Obvious discrepancies were also observed in terms of ORs of pair-comorbidities between three mentioned disorders in different levels of SDCs.

Demographic, life style and job-related determinants of quality of life of industrial manufacturing employees: an application of multilevel latent class regression on a large cross-sectional study

BACKGROUND: Employees are one of the key elements of an organization and measure the quality of life (QoL) provides reliable assessment of health and wellbeing in this population. This study aimed at investigating the QoL in a large sample of Iranian industrial manufacturing employees and its determinants. METHODS: In a cross-sectional study conducted was in 2015, 3063 people were selected among 16000 Esfahan Seal Company's employees using multistage cluster sampling. QoL was evaluated by EQ-5D questionnaire, mental health by GHQ-12, physical activity by IPAQ, job stress by Effort­Reward Imbalance questionnaire. Self-report questionnaire was used for gathering demographic characteristics. Multilevel latent class regression analysis was used for data analysis using R (3.4.3). RESULTS: The mean (SD) age of the study participants was 36.74 (7.31), and 91.5% of them were males. The mean (SD) sleep duration was 7.11 (1.17), and 95.4% of the participants had normal mental health. Latent class analysis classified employees into two classes (high (82.4%) and low QoL (17.6%)). Also employees' job categories classified into high and low QoL classes (79.55% and 20.45%, respectively). Latent class regression showed that lower age (OR=0.93; P< 0.0001), being male (OR=1.75; p=0.009), lower levels of education (OR=2.1; P< 0.0001), normal mental health (OR=12.4; P< 0.0001), higher sleep duration (OR=1.2; P< 0.0001) and lower BMI (OR=0.96; P=0.016) were significant predictors of being in high QoL class. CONCLUSION: Our study provides data about the QoL of industrial manufacturing employees along with its significant determinants. The findings picture the ways for improving QoL, finally increasing the efficiency and productivity of workforce by directing health policies appropriately

Smoking cessation support in Iran: Availability, sources & predictors.

Background & objectives: Smoking cessation advice is known as an important factor in motivating smokers to quit smoking. We investigated the extent, sources and predictors of receiving unsolicited advice and seeking active advice for smoking cessation in Iran. Methods: A cross-sectional study was performed as a part of Isfahan Healthy Heart Program (IHHP) on 9093 adult individuals (both men and women) in 2004-2005. Demographic characteristics, smoking status, sources and preferences for smoking cessation support were recorded. Results: In the studied population, 66.8 and 14.4 per cent had received and asked for cessation support, respectively. Smokers had received advice from family (92.2%), friends (48.9%), physician (27.9%) and other health care providers (16.2%). Smokers had asked for cessation help more frequently from family (64.5%) and friends (42.0%). Women (OR: 0.59, 95% CI: 0.37-0.94) and singles (OR: 0.51, 95% CI: 0.36-0.71) received less advice. Hookah smokers received (OR: 0.23; 95% CI: 0.14-0.38) and asked (OR: 0.21; 95% CI: 0.06-0.68) for cessation help less than cigarette smokers. Receiving advice increased the odds of seeking support (OR: 7.98; 95% CI: 4.37-14.57). Interpretation & conclusions: Smokers’ family and friends were more frequent sources for smoking cessation support. Tobacco control programmes can count on smokers’ family and friends as available sources for smoking cessation support in countries where smoking cessation counselling services are less available. However, the role of physicians and health care workers in the smoking cessation counselling needs to be strengthened.

Relationship between depression and apolipoproteins A and B: a case-control study

OBJECTIVE: To investigate the relation between major depressive disorder and metabolic risk factors of coronary heart disease. INTRODUCTION: Little evidence is available indicating a relationship between major depressive disorder and metabolic risk factors of coronary heart disease such as lipoprotein and apolipoprotein. METHODS: This case-control study included 153 patients with major depressive disorder who fulfilled the criteria of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), and 147 healthy individuals. All participants completed a demographic questionnaire and Hamilton rating scale for depression. Anthropometric characteristics were recorded. Blood samples were taken and total cholesterol, high-and low-density lipoproteins and apolipoproteins A and B were measured. To analyze the data, t-test, χ2 test, Pearson correlation test and linear regression were applied. RESULTS: Depression was a negative predictor of apolipoprotein A (β = -0.328, p<0.01) and positive predictor of apolipoprotein B (β = 0.290, p<0.05). Apolipoprotein A was inversely predicted by total cholesterol (β = -0.269, p<0.05) and positively predicted by high-density lipoprotein (β = 0.401, p<0.01). Also, low-density lipoprotein was a predictor of apolipoprotein B (β = 0.340, p<0.01). The severity of depression was correlated with the increment in serum apolipoprotein B levels and the decrement in serum apolipoprotein A level. CONCLUSION: In view of the relationship between apolipoproteins A and B and depression, it would seem that screening of these metabolic risk factors besides psychological interventions is necessary in depressed patients.