Quality of life and sleep disorders in Tehran Employees Cohort (TEC); Association with secondhand smoking and wealth index.

PURPOSE: Second-hand smoke is recognized as a major indoor pollutant. Evidences indicated that Second-hand smoke exposure can influence on not only physical health, but also mental well-being. As the correlation of secondhand smoke exposure with sleep quality and quality of life has not yet been clarified sufficiently, the purpose of this study was to evaluate the association between Second-hand smoke exposure, with sleep quality and quality of life after adjusting for active smoking and other relevant confounders. METHODS: The participants of this study were 1790 staff in Tehran University of Medical Sciences with different jobs employed in various academic departments (clinical, research, services, educational and technical ones). They participated voluntarily in this research project and completed the informed consent form between 2018 and 2019. A translated questionnaire of Global Adult Tobacco Survey was used to gather information about smoke exposure. When to evaluate the quality of life, the WHOQOL-BREF tool was applied. All statistical analyses were executed using STATA V14 software. RESULTS: High rate of smoking and also exposure to second-hand smoke significantly increased sleep disorder and reduced the quality of life. In other words, smokers or those who are exposed to second-hand smoke suffer from sleep disturbances and had a poorer physical, psychological, and environmental quality of life. Additionally, the results of multivariate regression analysis demonstrated that the secondhand-smoke group had 1.38 times higher rate of sleep disorder in comparison with non-smokers, that was statistically significant. The women had 2.68 times higher odds of having sleep disorder compared to men. (95 % CI: 2.20 to 3.27). On the other hand, mean score of psychological domain of quality of life in secondhand-smoke group was lower with the size of difference as 0.66 than that in non-smokers, and the difference was statistically significant (p = 0.001). CONCLUSIONS: Both active smoking and exposure to second hand smoke have a negative impact on sleep quality and quality of life.

The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran.

Residence can affect various aspects of one׳s physical, psychological and social health. Therefore, the present dataset aimed to assess the level of rural housewives' awareness and attitudes towards the importance of residence and its compliance with health standards. To collect the present dataset, four villages were selected from the Gilan-e-Gharb township using the randomized cluster sampling method, then 25 subjects were chosen from each village (totaling 100 altogether). Furthermore, the subjects' awareness and attitudes were measured using a researcher-made questionnaire, and the data were then analyzed using the SPSS Statistical Software Version 21.0. The obtained data demonstrated that rural housewives' awareness and attitudes towards the subject were significantly different in terms of education and age group (P< 0.05), but the opposite was true in terms of the variables of marital status and training by health practitioners (P> 0.05). Based on the obtained data, the awareness and attitudes of rural women towards the importance and necessity of health standards of residence were low and moderate, respectively. In addition, providing rural women with effective training in various ways to raise their awareness and attitudes is of prime significance.

Data on drinking water quality using water quality index (WQI) and assessment of groundwater quality for irrigation purposes in Qorveh&Dehgolan, Kurdistan, Iran.

This data article aimed to investigate the quality of drinking water of Qorveh and Dehgolan Counties in Kurdistan province based on the water quality index (WQI) and agricultural quality index based on RSC, PI, KR, MH, Na, SAR and SSP indices. Also, Piper diagram was used to determine hydro chemical features of the groundwater area. The calculation of WQI for groundwater samples indicated that 36% of the samples could be considered as excellent water and 64% of the samples were classified as good water category. The results of the calculated indices for agricultural water quality indicate that water quality in all collected samples are in a good and excellent category. The Piper classification showed that dominant type of groundwater hydro chemical faces of region was calcium bicarbonate (Ca-HCO3-).