Jinyoung Jang1,2, Hyun-Sung Jung1,3, Sukil Kim4,5, Kyoung-Uk Lee6. 1. Department of Public Health, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea. 2. The Korean Association of Internal Medicine, Seoul, Republic of Korea. 3. Indoor Environment and Noise Research Division, National Institute of Environmental Research, Incheon, Republic of Korea. 4. Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea. sikimmd@catholic.ac.kr. 5. Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. sikimmd@catholic.ac.kr. 6. Department of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. mindcure@catholic.ac.kr.
Abstract
PURPOSE: The study aimed to identify differences between individuals with stroke and the general population regarding socioeconomic, mental health, and Health-related quality of life (HRQOL) factors, and associations among Suicidal ideation (SI), HRQOL, and mental health. METHODS: Data of individuals with stroke (n = 592) and without stroke (n = 23,562) aged 20 or older from the 2013-2017 Korea National Health and Nutrition Examination Survey were analyzed. Chi-square tests examined differences in socioeconomic status, mental health, and HRQOL (EQ-5D) between groups. Independent associations between each EQ-5D dimension and SI were analyzed through multivariable logistic regression. RESULTS: Individuals with stroke were more likely to have problems on all EQ-5D dimensions. Significant univariate associations were identified between four EQ-5D dimensions and SI among individuals with stroke. Pain/discomfort (odds ratio [OR] = 1.32; 95% confidence interval [CI], 1.01-1.75, p = 0.048) and anxiety/depression (OR = 4.66; 95% CI, 3.69-5.89, p < .0001) of the EQ-5D were associated with SI when adjusting for all socioeconomic variables; anxiety/depression (OR = 2.80; 95% CI, 2.18-3.60, p < .0001) was the only risk factor for SI after controlling for socioeconomic and mental health variables. CONCLUSION: Individuals with stroke showed higher rates for problems on the EQ-5D, SI, and depression compared to the general population. They also demonstrated significant associations between SI and each EQ-5D dimension except physical activity, especially pain/discomfort and depression/anxiety. The study's findings can be referred to when predicting suicide risk in individuals with stroke by analyzing their EQ-5D scores.
PURPOSE: The study aimed to identify differences between individuals with stroke and the general population regarding socioeconomic, mental health, and Health-related quality of life (HRQOL) factors, and associations among Suicidal ideation (SI), HRQOL, and mental health. METHODS: Data of individuals with stroke (n = 592) and without stroke (n = 23,562) aged 20 or older from the 2013-2017 Korea National Health and Nutrition Examination Survey were analyzed. Chi-square tests examined differences in socioeconomic status, mental health, and HRQOL (EQ-5D) between groups. Independent associations between each EQ-5D dimension and SI were analyzed through multivariable logistic regression. RESULTS: Individuals with stroke were more likely to have problems on all EQ-5D dimensions. Significant univariate associations were identified between four EQ-5D dimensions and SI among individuals with stroke. Pain/discomfort (odds ratio [OR] = 1.32; 95% confidence interval [CI], 1.01-1.75, p = 0.048) and anxiety/depression (OR = 4.66; 95% CI, 3.69-5.89, p < .0001) of the EQ-5D were associated with SI when adjusting for all socioeconomic variables; anxiety/depression (OR = 2.80; 95% CI, 2.18-3.60, p < .0001) was the only risk factor for SI after controlling for socioeconomic and mental health variables. CONCLUSION: Individuals with stroke showed higher rates for problems on the EQ-5D, SI, and depression compared to the general population. They also demonstrated significant associations between SI and each EQ-5D dimension except physical activity, especially pain/discomfort and depression/anxiety. The study's findings can be referred to when predicting suicide risk in individuals with stroke by analyzing their EQ-5D scores.
Authors: Toby B Cumming; Leonid Churilov; Janice Collier; Geoffrey Donnan; Fiona Ellery; Helen Dewey; Peter Langhorne; Richard I Lindley; Marj Moodie; Amanda G Thrift; Julie Bernhardt Journal: Neurology Date: 2019-07-26 Impact factor: 9.910
Authors: S Broussy; F Rouanet; E Lesaine; S Domecq; M Kret; M Maugeais; F Aly; P Dehail; A Bénard; J Wittwer; R Salamon; I Sibon; F Saillour-Glenisson Journal: BMC Health Serv Res Date: 2019-10-29 Impact factor: 2.655