METHODS: All stroke participants aged ≥60 years admitted in Vaseie Hospital in Sabzevar, Iran, from March 21, 2013, until March 20, 2014, were included in this study. Computerized tomography and magnetic resonance imaging were used to confirm stroke. A series of χ2 tests were performed and Statistical Program for Social Sciences, Version 21.0, was used to investigate the potential differences between older men and women in stroke incidence and outcomes.
RESULTS: A total of 159 incident stroke cases were documented during 1 year. The annual rate of stroke was statistically significantly higher in elderly women than in elderly men (401 vs 357 per 100,000; P<0.001). Female elderly participants had significantly lower socioeconomic status, poorer living conditions, and higher lifetime history of depression, hypertension, and diabetes mellitus than their male counterparts.
CONCLUSION: The findings from this study showed that elderly women are more adversely affected by stroke in terms of incidence and outcomes of stroke than elderly men. The most noticeable result is that sex differences in socioeconomic status and living conditions may result in increased incidence of stroke and poorer outcomes in elderly women. Therefore, it is imperative to identify vulnerable elderly women and provide them appropriate treatment and services.
METHODS: Based on the raw data collected from the Statistical Center of Iran, we studied the population of never-married older adults in the past 25 years and evaluated the growth pattern in different parts of Iran, using ArcGIS software. We also examined the association of singlehood in late life with education in men and women residing in rural and urban areas, using the Chi-square test in SPSS version 22.
RESULTS: A sharp increase was observed in the population of never-married older adults, particularly women, in the past 10 years. Women with formal education from urban and rural areas were more likely to be never married in late life (χ2 = 10455.35, P < 0.001 and χ2 = 271.31, P < 0.001, respectively). Older men with formal education from urban areas were more likely to be never married (χ2 = 35.44, P < 0.001), while men with formal education from rural areas were less likely to be never married (χ2 = 179.13, P < 0.001).
CONCLUSION: The rate of increase in the population of never-married older women was much higher than the overall growth of older population. Women with formal education, particularly those with university and pre-university degrees, were more likely to be single in late life. It is strongly suggested to determine the causes and process of singlehood in old age in future research, including qualitative studies.
METHODS: The data for this study (taken from 1,880 older adults, aged 60 years and older) were drawn from a national survey conducted during 2008-2009. The survey employed a two-stage stratified sampling process for data collection. Structural equation modeling was used to test mediating and moderating analyses.
RESULTS: The proposed model documented a good fit to the data (GFI =98; CFI =0.99; RMSEA =0.04). The findings from bootstrap analysis and the Sobel test revealed that the impact of social cohesion on well-being is significantly mediated by social embeddedness (Z=5.62; P<0.001). Finally, the results of a multigroup analysis test showed that social cohesion influences well-being through the social embeddedness mechanism somewhat differently for older men than women.
CONCLUSION: The findings of this study, in addition to supporting the importance of neighborhood social cohesion for the well-being of older adults, also provide evidence that the impact of social cohesion towards well-being is mediated through the mechanism of social embeddedness.
METHODS: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled "Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0.
RESULTS: The mean of MMSE was found to be 22.67 (SD = 4.93). The overall prevalence of selfreported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%). The result of independent t-test showed diabetic subjects had a higher mean score of MMSE (M = 23.05, SD =4 .55) than their counterparts without diabetes (M = 22.55, SD = 5.04) (t = -2.13 p
METHODS: This experimental study was done on a sample of 86 caregivers of elderly with dementia in 2018. The study sample was selected from memory clinic of Taleghani Hospital and randomly assigned into groups (intervention n = 43, control n = 43 groups). The well-being was measured using the World Health Organization - Five Well-Being Index (WHO-5), before and two months after the intervention. Cyberspace-based educational intervention was conducted for one month. The SPSS software version 23 was employed in data analysis.
RESULTS: The mean age of the caregivers in the intervention and control groups were (M = 51.95, SD = 10.90) and (M = 51.36, SD = 15.12) respectively. No significant difference was found between two groups in terms of age, gender and level of education. The results of analysis showed that while the well-being of the intervention group was significantly increased (t (38) = -11.38, P<0.001) the well-being in the control group was significantly reduced ( t(36) =4.71 , P<0.001).
CONCLUSION: The findings showed that cyberspace-based education can improve the well-being of caregivers of the elderly with dementia.
Methods: This cross-sectional study was conducted on 377 community dwelling older adults 60 years and over living in Kashan, Iran. A multistage proportional random sampling technique was applied to obtain the sample. The grandparent -grandchildren relationship was measured by a researcher-developed 16-item scale. The data were analyzed using SPSS version 23 and AMOS 23.
Results: The mean age of the respondents was 70.42(SD = 8.20) years. About 62% of the respondents were female and 60.7% were married. The average score of grandparents-grandchild relationship was 67.60(SD = 12.47). The multiple linear regression analysis revealed a significant model (F (11, 365) = 19.05, P < 0.001), where information communication technology of grandparents, geographical distance between grandparents and grandchildren, and the quality of relationship between grandparents and parents of grandchildren were the most important predictors of the grandparents-grandchildren relationship.
Conclusion: The findings from the current study showed that status of grandparents-grandchildren relationship is moderate to high and influenced by some factors. It is, therefore, suggested that policymakers pay more attention to strengthening grandparent-grandchild relationship by providing educational programs for families and encouraging the elderly to learn and use information communication technology.