title: Gender discrimination in the elderly and its impact on the elderly health.
abstract: The aim of this study was to determine gender discrimination and risk factors in the elderly population and to assess the impact of that discrimination on elderly health. One hundred and sixty-eight elderly individuals who were selected from the records by simple randomized sampling were enrolled in the study. Data were obtained by face-to-face interviews at the residence of the elderly individuals. Chi(2)-Analysis, t-test, Mann-Whitney U-test, and logistic regression were used for data analysis. 81.1% of the elderly were married and 40.5% were middle or high school graduates, and 93.9% of the subjects had at least one living child. It was determined that 51.7% of the females, and 21.3% of the males were exposed to negative gender discrimination. This discrimination was higher among women in all sub-groups. In fact, older women and elderly individuals with only primary school education or less were significantly more exposed to gender discrimination (p=0.008 and p=0.043, respectively). It was found that only economical variables were related to poor health status, without gender discrimination. Despite the fact that the freedom has been obtained in some areas such as participation in household decision-making and dressing, the patriarchal family structure and sexual inequality continue in older age.
authors.affiliation: Dokuz Eylul University School of Medicine, Department of Public Health, P.K. 35340 Inciralti/Izmir, Turkey. pembe.keskinoglu@gmail.com
authors.forename: Pembe
authors.initials: P
authors.lastname: Keskinoglu
authors.forename: Tugba
authors.initials: T
authors.lastname: Ucuncu
authors.forename: Idris
authors.initials: I
authors.lastname: Yildirim
authors.forename: Turgut
authors.initials: T
authors.lastname: Gurbuz
authors.forename: Ismail
authors.initials: I
authors.lastname: Ur
authors.forename: Gul
authors.initials: G
authors.lastname: Ergor
mesh_terms: D000368:Aged; D003430:Cross-Sectional Studies; D003657:Decision Making; D005260:Female; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D011287:Prejudice; D012307:Risk Factors; D012959:Socioeconomic Factors