LINKING BENEFITS MARITAL STATUS: R SOCIAL SECURITY

2013 ◽  
pp. 153-170
Author(s):  
Hadi Sadighiyan ◽  
Mehdi Abbasian ◽  
Mahmood Yousefi ◽  
Narjes Maasoumi ◽  
Reza Nikanfar ◽  
...  

Introduction: Quality of life (QoL) is known to be one of the main challenges of the present century in the growing heterogeneous elder population. Therefore, determining the affecting factors of QoL among older people could be imperative. The present study aims at the comparative investigation of the QoL the old people covered by the various pension funds in the city of Tabriz, Iran. Methods: A cross-sectional study was conducted among 212 older people in Tabriz, Iran. All of the participants were selected based on a stratified sampling considering the study population’s preliminary distribution in three kinds of funds (the State, Armed forces, and Social security). A reliable Iranian LEIPAD questionnaire was used in a comparative investigation of the older adult’s QoL. Data were analyzed with SPSS 21 using t-test, ANOVA, person corellation tests and multiple linear regression. Results: The majority of the participants were male (84.4%) and married (94.8%). One-third of older people possessed academic qualifications. The average age of pensioners in the State fund was 8 years older than other funds. Social security pensioners received the lowest wages (i.e. 0.76 of State and 0.71 of Armed forces pensioners). The total mean score of QoL was 65.63 ± 12.27 (range: 0-93). The relationship between QoL and education level (β = 0.30) and marital status (β = 0.22) was positive and significant. Moreover, a significant difference was observed between scores of QoL and type of pension funds, marital status, education level (p < 0.05). Conclusion: Pension funds can improve the QoL among older people by increasing the pension amount, quality of services and payment benefits of those covered retirees.


Author(s):  
Max Groneck ◽  
Johanna Wallenius

Abstract In this article, we study the labour supply effects and the redistributional consequences of the US social security system. We focus particularly on auxiliary benefits, where eligibility is linked to marital status. To this end, we develop a dynamic, structural life cycle model of singles and couples, featuring uncertain marital status and survival. We account for the socio-economic gradients to both marriage stability and life expectancy. We find that auxiliary benefits have a large depressing effect on married women’s employment. Moreover, we show that a revenue neutral minimum benefit scheme would moderately reduce inequality relative to the current US system.


2005 ◽  
Vol 11 (2) ◽  
pp. 145-162 ◽  
Author(s):  
Madonna Harrington Meyer ◽  
Douglas A Wolf ◽  
Christine L Himes

Author(s):  
Kenan Teker ◽  
Melis Gönülal ◽  
Mustafa Emiroğlu

Background In the literature, there are different studies about the mortality and epidemiology of COVID-19 and such researchs are expected to increase even more. We purposed in our study to compare data about the mortality and epidemiology of patients who died from COVID-19 and another disease in January, February, March, April, May and June of 2020 with data of patients who died because of other diseases in the same months of 2018, 2019 and 2020 . Materials and Methods We evaluated the files of the patients who died in the months of January, February, March, April, May and June of 2018, 2019 and 2020 retrospectively. Patients died from COVID-19 were exact cases whose reverse transcription polymerase chain reaction was positive. We noted age, gender, nationality, marital status, social security, place of residence of all patients. Mortality in our study describes number of deaths / inpatients. Results The number of inpatients in 2018 was 49831, in 2019 was 46429, in 2020 was 37843 and totally was 134103. 1421 of them were inpatients from COVID-19. 39 of 1421 inpatients died because of COVID-19. Average number of mortality in 2018 was 0.92%, in 2019 1.14% and in 2020 1.47% and there was significant relationship between groups (p < 0.0001). The mortality of COVID-19 was determined 2.74 % in our hospital. Conclusion In conclusion, in our study, average number of deaths and mortality in 2020 were more than in 2018 and 2019. In addition, COVID-19 may have begun in February 2020, not in March, in Turkey according to the number of deaths in February and March in 2020 of our hospital. Mortality in June 2020 was less than June 2019 and June 2018. We think that our study can contribute to the last epidemiologic data in the world. Keywords: COVID-19, 2019-nCoV, SARS-CoV-2, mortality, epidemiology


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