The aim of this study was to identify gender differences in the health status, community service needs, and quality of life of older adults living alone in an urban city in South Korea. A cross-sectional descriptive correlational design was used. The study sampled 1023 older adults (≥65 years) living alone in S* City, during the period from August to October in 2018. Trained interviewers conducted face-to-face interviews with the participants, using the UCLA Loneliness Scale, Short Form Geriatric Depression Scale - Korean version, ENRICHD Social Support Instrument (ESSI), the Mini-Mental State Examination Standard Version (MMSE-2SV), and Health-Related Quality of Life (EQ-5D). 77.8% were women and the mean age was 77.38 years (men = 74.65, women = 78.16). Women had lower socioeconomic and health status than men. Men felt more lonely, depressed, and had suicidal thoughts more frequently than women. Women had more needs regarding care, residential environment, movement, connection, and emergency services than men. In men, depressive symptoms, suicidal thoughts, loneliness, and right-hand grip strength were identified using the EQ-5D. The EQ-5D was also used to explain depressive symptoms, suicidal thoughts, cognitive function, and physical activity in women. Health status and community service needs were dependent on gender; therefore interventions should be tailored according to gender. Our research found that to decrease depression and suicidal thoughts, improve physical health, and enhance quality of life for older adults living alone, interventions need to be designed to decrease male loneliness and to enhance female cognitive function.

Chang SJ, et al. Korean J Adult Nurs. 2018 Oct;30(5):504-515. https://doi.org/10.7475/kjan.2018.30.5.504

The purpose of the current study was to compare the factors associated with adults' eHealth literacy, which is vital for health consumers. A secondary data analysis was conducted with data collected from November 2017 to February 2018 for a project on the development of a Korean version of the eHealth Literacy Scale. Participants were recruited through an online survey for young adults ( n = 210, mean age = 25.5 [ SD = 4.7] years) and a face-to-face survey for older adults ( n = 187, mean age = 73.2 [ SD = 4.8] years). Hierarchical multiple regression analyses were used to analyze data and determine eHealth literacy predictors. Older adults held more positive attitudes toward internet health information than young adults (mean = 16.49 [ SD = 2.54] and 17.04 [ SD = 2.41], respectively; p = 0.029); however, eHealth literacy levels were comparable (mean = 30.50 [ SD = 4.62] and 30.95 [ SD = 4.17], respectively; p = 0.305). Attitude toward internet health information was a significant predictor of eHealth literacy in both groups, and age was only a predictor among young adults. These results elucidate predictors of eHealth literacy and inform strategies to improve eHealth literacy among young and older adults. [ Journal of Gerontological Nursing, 46 (8), 46–56.]