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최경원,이인숙 한국간호과학회 2010 Journal of Korean Academy of Nursing Vol.40 No.4
Purpose: The purpose of this study was to investigate the factors that increase of the risk for falls in low-income elders in urban areas. Methods: The participants were elderly people registered in one of public health centers in one city. Data were collected by interviewing the elders, assessing their environmental risk factors, and surveying relevant secondary data from the public health center records. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 14. Results: Stroke, diabetes, visual deficits, frequency of dizziness, use of assistive devices and moderate depression were statistically significant risk factors. The comorbidity of chronic diseases with other factors including depression, visual deficit, dizziness, and use of assistive devices significantly increased the risk of falls. From multiple logistic regression analysis, statistically significant predictors of falls were found to be stroke, total environmental risk scores, comorbiditiy of diabetes with visual deficits, and with depression. Conclusion: Fall prevention interventions should be multifactorial, especially for the elders with stroke or diabetes, who were identified in this study as the high risk group for falls. A fall risk assessment tool for low-income elders should include both the intrinsic factors like depression,dizziness, and use of assistive devices, and the extrinsic factors.
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최경원 대한임상건강증진학회 2024 Korean Journal of Health Promotion Vol.24 No.2
Background: This paper examines whether various types of internet use mediated or moderated the relationship between age and cognitive function. Methods: Using 2020 National Survey of Older Koreans, the data of 8,639 adults aged 65 or over were analyzed by complex sample analysis using chi-square test, t-test, multiple regression analysis, and Sobel’s test. Results: All types of internet use were significantly associated with cognitive function and played a significant mediating effect in the relationship between age and cognitive function. Internet use for information searching was the most protective for cognitive function (β=1.902, P<0.001), while Internet use for interpersonal communication exhibited the greatest mediating effect in the relationship between age and cognitive function (Age: β=–0.131, P<0.001→ β=–0.079, P<0.001). The influence of age on cognitive function moderated by all types of internet use. Conclusions: This underscores the need to consider various types of internet use when creating nonpharmacological interventions aimed at delaying age-associated cognitive decline in community-dwelling older adults.
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