Showing 2 results for Mirzaie
K Mirzaie, Ah Shushtari, S Bokaie, Mh Fallah Mehrabadi , Sm Peighambari ,
Volume 16, Issue 4 (Vol.16, No.4 2021)
Abstract
Background and Objectives: Avian influenza (AI) is one of the most important respiratory diseases in the poultry industry that causes huge economic impacts and plays an important role in public health. H9N2 Avian Influenza Virus (H9N2 AIV) has a broad circulation and causes endemic infections in the poultry industry of the country.
Methods: A cohort study was conducted from July 2016 to November 2017 in broiler chicken farms of Qazvin Province, Iran to detect H9N2 AIV infection determinants in broiler chicken farms.
Results: Sixteen out of 34 units that were included in the study had positive PCR results. Some variables such as “type of fence around the unit”, “biosecurity”, “cooling system status”, “mean maternal antibody titers”, “location height”, “proximity to public traffic lanes” and “number of units within a radius of 1 km” had significant effects on the infection occurrence in poultry units according to univariate statistical analyses (P<0.05). However, only two of them (“biosecurity” and “cooling system status”) were statistically significant in multi-variable analyses (P<0.05).
Conclusion: Biosecurity measures should be implemented more seriously and strictly in broiler farms to reduce the impact of H9N2 AIV infection.
F Taghdiri, Aa Haghdoost, M Momeni, M Mirzaie,
Volume 16, Issue 4 (Vol.16, No.4 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.
