| Title |
Minority population group status and QOL change: the case of older Israelis
|
|---|---|
| Published in |
European Journal of Ageing, September 2016
|
| DOI | 10.1007/s10433-016-0396-x |
| Pubmed ID | |
| Authors |
Noam Damri, Howard Litwin |
| Abstract |
This study explores minority group status in relation to change in Quality of Life (QOL) among three population groups in Israel-Veteran Jews, Arab-Israelis and immigrants from the Former Soviet Union (FSU)-controlling for a set of known predictors. The study uses panel data from two waves (2009/10 and 2013) of the Israeli component of the Survey of Health, Ageing and Retirement in Europe, (N=1,590). A set of Ordinary Least Squares regressions is used to predict positive QOL change over the two waves. Interaction terms in a number of selected areas are considered. The results show that minority group status (Arab-Israelis and FSU immigrants) is negatively related to positive QOL change, compared to the majority group (Veteran Jews). Moreover, being employed was found to improve QOL for older FSU immigrants, underscoring the realm of work in the well-being of this population group. In comparison, it was exchange with family members that had a positive effect on QOL change among the Arab-Israelis, emphasizing the importance of that particular aspect of their lives in older age. In sum, the results highlight the risk of minority group status to well-being in late life and confirms the observation that positive QOL change correlates with characteristically different factors among different population groups. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 22% |
| Psychology | 7 | 17% |
| Nursing and Health Professions | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Unspecified | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from European Journal of Ageing
#363
of 377 outputs
Outputs of similar age
#303,097
of 342,739 outputs
Outputs of similar age from European Journal of Ageing
#5
of 5 outputs
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