Relationship between social well-being and health related quality of life level among senior retirees of tehran university of medical sciences

Introduction: Senior citizens or the elderly people are a group of people in the society considered as a growing population with special needs in the developed contemporary world. Since they have special needs, it is essential to care about the quality of their life because of the dangers which threaten them. Since the social health of the retirees is decreased as a result of exiting from the workplace and directly affecting their life quality, the researcher has done the present study. Methodology: This paper which is a descriptive- analytic study has been periodically done in the second half of 2013. The participants were 227 senior retirees of Tehran University of Medical Sciences. The data have been collected through a reliable and valid questionnaire of life quality related to health (sf-36) and social well-being of KEYES. The data then were analyzed using SPSS.19 and descriptive statistics and paired t-test, one way ANOVA test and Pearson correlation were use as well. Findings: There is a significant linear relation between life quality variable related to the health and social well-being components (P<0.05). There is also a significant correlation between the variables like age, sex, marital status, duration of employment and life quality. Results: Regarding the findings of the study, it seems that the policy makers and planners need to create a kind of active integration and balance in society according to the available devices and facilities, and try to apply a proper information system to eliminate the cultural problems, reinforce the social relations and coherences in order to increase the life quality of senior retires. © 2015, Canadian Center of Science and Education. All rights reserved

Association between PM2.5 and risk of hospitalization for myocardial infarction: A systematic review and a meta-analysis

Background: It is generally assumed that there have been mixed results in the literature regarding the association between ambient particulate matter (PM) and myocardial infarction (MI). The aim of this meta-analysis was to explore the rate of short-term exposure PM with aerodynamic diameters �2.5 μm (PM2.5) and examine its potential effect(s) on the risk of MI. Methods: A systematic search was conducted on databases like PubMed, Scopus, Web of Science, and Embase with components: "air pollution" and "myocardial infarction". The summary relative risk (RR) and 95 confidence intervals (95CI) were also calculated to assess the association between the PM2.5 and MI. Results: Twenty-six published studies were ultimately identified as eligible candidates for the meta-analysis of MI until Jun 1, 2018. The results illustrated that a 10-μg/m 3 increase in PM2.5 was associated with the risk of MI (RR = 1.02; 95 CI 1.01-1.03; P � 0.0001). The heterogeneity of the studies was assessed through a random-effects model with p &lt; 0.0001 and the I2 was 69.52, indicating a moderate degree of heterogeneity. We also conducted subgroup analyses including study quality, study design, and study period. Accordingly, it was found that subgroups time series study design and high study period could substantially decrease heterogeneity (I2 = 41.61, 41.78). Conclusions: This meta-analysis indicated that exposure-response between PM2.5 and MI. It is vital decision makers implement effective strategies to help improve air pollution, especially in developing countries or prevent exposure to PM2.5 to protect human health. © 2020 The Author(s)