Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors
Objectives: There is currently a lack of consensus to estimate and compare depression proportion of elderly people in different Iranian ethnicities. Therefore, we examined the effect of ethnicity on elderly depression in the presence of other variables. Methods & Materials: During a cross-sectio...
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| Format: | Article |
| Language: | fas |
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University of Social Welfare & Rehabilitation Sciences
2020-03-01
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| Series: | Sālmand |
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| Online Access: | http://salmandj.uswr.ac.ir/article-1-1915-en.html |
| _version_ | 1827884304506552320 |
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| author | Elahe Allahyari Majid Keramati Mohammadreza Kamali |
| author_facet | Elahe Allahyari Majid Keramati Mohammadreza Kamali |
| author_sort | Elahe Allahyari |
| collection | DOAJ |
| description | Objectives: There is currently a lack of consensus to estimate and compare depression proportion of elderly people in different Iranian ethnicities. Therefore, we examined the effect of ethnicity on elderly depression in the presence of other variables.
Methods & Materials: During a cross-sectional study in 2017, seven Iranian ethnicities were considered as clusters, then a random sample was selected from each group of people over 60 years old. A total of 1477 participants were studied among which 675 were Fars, 298 Turk, 100 Kurds and Turkman, 99 Baloch and Arab, and 96 Lor. The subjects were asked to complete the Elderly Depression Inventory (GDS-15) and demographic checklist. Data were analyzed by SPSS v. 22 software in α=0.05 using linear regression analysis and ANOVA test.
Results: The prevalence of depression was only about 50%. However, depression proportion of Baluch, Arab, Kurd and Lor elderlies with 81.8, 77.8, 62, and 59.4 percent was significantly high. Even, the prevalence of severe depression was 30% in Baluchis. Also, linear regression revealed that widowhood (P<0.001), retirement (P=0.022), house bound (P<0.001), and the increasing chronic illnesses (P<0.001), and income (P<0.001) were other variables influencing depression.
Conclusion: The establishment of methods to decreasing elderly depression is necessary because of the high prevalence of depression among the elderly of different ethnicities, especially the Arab and Baluch ethnic groups. |
| first_indexed | 2024-03-12T19:27:31Z |
| format | Article |
| id | doaj.art-460379f60b274257b6e33d72b70e49e8 |
| institution | Directory Open Access Journal |
| issn | 1735-806X 1735-806X |
| language | fas |
| last_indexed | 2024-03-12T19:27:31Z |
| publishDate | 2020-03-01 |
| publisher | University of Social Welfare & Rehabilitation Sciences |
| record_format | Article |
| series | Sālmand |
| spelling | doaj.art-460379f60b274257b6e33d72b70e49e82023-08-02T04:49:08ZfasUniversity of Social Welfare & Rehabilitation SciencesSālmand1735-806X1735-806X2020-03-01151129118Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated FactorsElahe Allahyari0Majid Keramati1Mohammadreza Kamali2 Social Determinants of Health Research Center, Faculty of Health, Department of Epidemiology and Biostatistics, Birjand University of Medical Sciences, Birjand, Iran Department of Public Health, Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran Department of Public Health, Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran Objectives: There is currently a lack of consensus to estimate and compare depression proportion of elderly people in different Iranian ethnicities. Therefore, we examined the effect of ethnicity on elderly depression in the presence of other variables. Methods & Materials: During a cross-sectional study in 2017, seven Iranian ethnicities were considered as clusters, then a random sample was selected from each group of people over 60 years old. A total of 1477 participants were studied among which 675 were Fars, 298 Turk, 100 Kurds and Turkman, 99 Baloch and Arab, and 96 Lor. The subjects were asked to complete the Elderly Depression Inventory (GDS-15) and demographic checklist. Data were analyzed by SPSS v. 22 software in α=0.05 using linear regression analysis and ANOVA test. Results: The prevalence of depression was only about 50%. However, depression proportion of Baluch, Arab, Kurd and Lor elderlies with 81.8, 77.8, 62, and 59.4 percent was significantly high. Even, the prevalence of severe depression was 30% in Baluchis. Also, linear regression revealed that widowhood (P<0.001), retirement (P=0.022), house bound (P<0.001), and the increasing chronic illnesses (P<0.001), and income (P<0.001) were other variables influencing depression. Conclusion: The establishment of methods to decreasing elderly depression is necessary because of the high prevalence of depression among the elderly of different ethnicities, especially the Arab and Baluch ethnic groups.http://salmandj.uswr.ac.ir/article-1-1915-en.htmlelderlydepressionprevalenceassociated factorsethnicity |
| spellingShingle | Elahe Allahyari Majid Keramati Mohammadreza Kamali Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors Sālmand elderly depression prevalence associated factors ethnicity |
| title | Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors |
| title_full | Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors |
| title_fullStr | Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors |
| title_full_unstemmed | Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors |
| title_short | Predicting Elderly Depression Prevalence in Different Iranian Ethnicities and Associated Factors |
| title_sort | predicting elderly depression prevalence in different iranian ethnicities and associated factors |
| topic | elderly depression prevalence associated factors ethnicity |
| url | http://salmandj.uswr.ac.ir/article-1-1915-en.html |
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