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Showing 5 results for Employment

Z Hashemi , M Keikha, R Keikhaee, A Ansari Moghadam , M Salehi Marzijarani , A Nasiri,
Volume 9, Issue 2 (10-2013)
Abstract

Background & Objectives: Relationship between jobs and different aspects of health, including quality of life has been considered by researchers however the employment aim has risen in Iranian women in Iran but there is little known about the quality of life in this group, therefore the aim of this study was to investigate the relationship between employment and quality of life of women in the city of Zabol. Methods: This cross-sectional study was carried out during 2009-2010 in Zabol, Iran. The sample consisted of 420 women selected randomly from health care centers. Health-related quality of life was assessed using the SF-36 and classified using k-means clustering method. The relationship between the independent variables with the quality of life was assessed by multinomial logistic regression. Results: The mean age of participants was 30.46 ± 8.75 years. Quality of life indicated as low (35.4%), medium (33.7%) and high classes (30.9%), respectively. The results indicated that employed women were more likely than housewives to hadhigher quality of life. An increase age, significantly reduced respectively five and four percent of chance to had moderate and high level of quality of life. Conclusion: More than half of women had medium and low quality of life. Increasing age was associated with decreased quality of life, but employment was an independent predictor for higher quality of life.
A Souresrafil, M Hadian, H Ghaderi,
Volume 10, Issue 2 (9-2014)
Abstract

  Background & Objectives : In recent years, the World Health Organization has paid more attention to the relationship between health and social conditions as determining the factors affecting people's health in the society. Social health factors (conditions in which people are born, grow up, work, and become old, and also the health system available for them) have caused inequalities in health and require more attention in health development. The purpose of this research was to identify the determining social and economic factors which are effective in mortality in these selected countries during 1998-2009.

  Methods: Countries were divided into 3 groups based on the human development index and 10 countries out of each group were studied randomly. The dependent variable in this research was overall mortality and the explanatory variables were Gini coefficient, unemployment rate, per capita Health expenditure, and also the result of multiplication of per capita income and Gini coefficient. To evaluate and assess the data, the generalized method of moment by Eviews 6 was used.

 Results: The findings showed that the most determining elements affecting the mortality rate in countries with a very high human development index were Gini coefficient (0.02), unemployment rate (0.0001), and the variable obtained by multiplying the Gini coefficient by per capita income (-8.1*10-6). In countries with a high human development index, the most determining elements affecting the mortality rate were unemployment rate (0.005), per capita expenditure (-0.0002), and the variable obtained by multiplying Gini coefficient by per capita income (-3.22*10-6). Also, in countries with a medium human development index, the most determining elements affecting the mortality rate were per capita expenditure (-0.0008), and multiplication of Gini coefficient and per capita income (1.47*10-6).

  Conclusion: It can be concluded that based on the level of development of the countries, various economic and social factors can affect the mortality and health level of those countries. Therefore, it is necessary for the countries to plan for their health system if they wish to eradicate or reduce inequalities and injustices. This plan should be based on their level of development, the factors determining mortality, and the health system of those countries.


F Taghdiri, Aa Haghdoost, M Momeni, M Mirzaie,
Volume 16, Issue 4 (3-2021)
Abstract

 
Background and Objectives: Today, happiness and life satisfaction play a crucial role in women’s health in every society. This study was conducted to compare the level of happiness and life satisfaction between employed women and housewives and to examine the factors affecting it.
 
Methods: This cross-sectional study was conducted on 720 employed women and housewives in Kerman, Iran in 2017. The Oxford Happiness Inventory (OHI), Diener Life Satisfaction Questionnaire, and a demographic profile were used for data collection. Regression analysis was used to determine the correlation of different factors with happiness and life satisfaction.
 
Results: The mean ± standard deviation of the total happiness and life satisfaction score was 42/6 ± 13/2 out of 87 (43/3 ± 13/6 in employees and 42/7 ± 12/7 in housewives, P =0/21) and 23/5 ± 6/1 out of 35 (23/8 ± 6/3 in employees and 23/2 ± 5/8, in housewives, P = 0/24), respectively. Additionally, most of the subjects (55%) reported a moderate level of happiness. Regression analysis indicated that married women who had a university education and those who spent their free time on leisure and traveling had higher scores of happiness and life satisfaction. As for the employed women, those with limited work records and those who were officially employed had significantly higher levels of happiness and life satisfaction.
 
Conclusion: This study showed a moderate level of happiness and life satisfaction in women. Furthermore, there was no significant difference in the level of happiness and life satisfaction between employed women and housewives.
Sara Najibi, Shadab Shahali, Kh Hekmat, Bahman Cheraghian,
Volume 17, Issue 2 (9-2021)
Abstract

 
Background and Objectives: Child growth health is one of the most important issues that determines the community health. Considering the importance of mothers in family and healthy society, the aim of this study was to evaluate the correlation between maternal employment status and infant growth during the 9-12 months in Ahwaz.
 
Methods: In this prospective cohort study, 345 nine-month infants of three groups of mothers including full time employees, part-time employees, and homemakers were selected using non-probability quotas sampling method. Data was collected using a researcher-made questionnaire and analyzed with the SPSS software version 22 using statistical tests such as chi-square, anova.
 
Results: In the full-time job group, 54.2% of the infants had favorable weights and 45.8% had unfavorable weights. In the part-time group, 69.6% of the infants had favorable weights and 30.4% had unfavorable weights. In the homemaker group, 68.7% of the infants had favorable weights and 31.3% had unfavorable weights. There was a significant difference in the infant’s weight between full-time and part-time job groups
(P= 0.01) and the full-time job and homemaker group (P= 0.04) but there was no significant deference in the infant’s weight between the part-time job and homemaker group (P= 0.87). No significant association was found between maternal employment status and infant’s height (P= 0.11) and head circumference as well (0.08).
 
Conclusion: The growth status of infants with full-time working mothers was lower than that of infants with homemaker and part-time working mothers. It is recommended to reduce the working time of the mothers who have full-time jobs as long as they breastfeed their babies.
Shoboo Rahmati, Zahra Abdolahinia, Sakineh Narouee, Naser Nasiri, Reza Goujani, Ali Akbar Haghdoost,
Volume 19, Issue 4 (3-2024)
Abstract

Background and Objectives: Given the significant migration of educated individuals, particularly epidemiologists, throughout the country, it is crucial to investigate the underlying causes. This article presents the findings of an extensive study that sought to explore this issue by gathering insights from experts in the field.
Methods: The study was conducted using qualitative methods, employing content analysis. Data were collected between summer and autumn 2023 through semi-structured interviews with 32 epidemiologists in the country. Analysis followed the steps outlined by Lundman and Graneheim, with coding facilitated by MAXQDA software.
Results: The main challenges of epidemiology in Iran were divided into six main categories. In the field of graduate students, problems in recruitment and employment due to the lack of suitable careers, infrastructure and structural problems of the system, research problems and insufficient knowledge about the performance of this field are the most important challenges, and in the field of students, education problems, structural and infrastructure problems were reported. Also, the main reasons for the migration of epidemiologists were the lack of meritocracy and specialization, inappropriate privileges (including the application of unconventional recruitment quotas), lack of a job market and opportunities for graduates, and inadequate compensation and benefits.
Conclusion: Based on the results of this study, it seems that the migration of epidemiologists as a valuable human resource abroad is a serious concern and problem. The lack of a suitable job position and ambiguity in the path to career advancement due to non-adherence to the meritocracy and skill-building system have increased the motivation to migrate in this group.


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