Prevalence and Risk Factors for Self-Neglect among Older Adults Living Alone in South Korea

2014 ◽  
Vol 78 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Minhong Lee ◽  
Kyeongmo Kim
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
South Korea ◽  
Living Alone

scholarly journals Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea

2022 ◽  
Vol 12 ◽  
Author(s):  
Haewon Byeon
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Fatty Acid ◽  
Depressive Disorders ◽  
Subjective Health ◽  
Bayesian Regression ◽  
Living Alone ◽  
Study Objective ◽  
Naive Bayesian ◽  
Naïve Bayesian

This study provided baseline data for preventing depression in female older adults living alone by understanding the degree of their depressive disorders and factors affecting these depressive disorders by analyzing epidemiological survey data representing South Koreans. To achieve the study objective, this study explored the main risk factors of depressive disorders using the stacking ensemble machine technique. Moreover, this study developed a nomogram that could help primary physicians easily interpret high-risk groups of depressive disorders in primary care settings based on the major predictors derived from machine learning. This study analyzed 582 female older adults (≥60 years old) living alone. The depressive disorder, a target variable, was measured using the Korean version of Patient Health Questionnaire-9. This study developed five single predictive models (GBM, Random Forest, Adaboost, SVM, XGBoost) and six stacking ensemble models (GBM + Bayesian regression, RandomForest + Bayesian regression, Adaboost + Bayesian regression, SVM + Bayesian regression, XGBoost + Bayesian regression, GBM + RandomForest + Adaboost + SVM + XGBoost + Bayesian regression) to predict depressive disorders. The naive Bayesian nomogram confirmed that stress perception, subjective health, n-6 fatty acid, n-3 fatty acid, mean hours of sitting per day, and mean daily sleep hours were six major variables related to the depressive disorders of female older adults living alone. Based on the results of this study, it is required to evaluate the multiple risk factors for depression including various measurable factors such as social support.

scholarly journals Risk factors for depression during the COVID-19 pandemic: a longitudinal study in middle-aged and older adults

BJPsych Open ◽  
2021 ◽  
Vol 7 (5) ◽  
Author(s):  
Jamie Rutland-Lawes ◽  
Anna-Stiina Wallinheimo ◽  
Simon L. Evans
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Regression Models ◽  
Protective Factor ◽  
Significant Risk ◽  
Living Alone ◽  
Depression Symptoms ◽  
Middle Aged ◽  
Increased Risk

Background The COVID-19 pandemic and resultant social restrictions have had widespread psychological ramifications, including a rise in depression prevalence. However, longitudinal studies on sociodemographic risk factors are lacking. Aims To quantify longitudinal changes in depression symptoms during the pandemic compared with a pre-pandemic baseline, in middle-aged and older adults, and identify the risk factors contributing to this. Method A total of 5331 participants aged ≥50 years were drawn from the English Longitudinal Study of Ageing. Self-reported depression symptoms in June/July 2020 were compared with baseline data from 2–3 years prior. Regression models investigated sociodemographic and lifestyle variables that could explain variance in change in depression. Results Within-participant depression scores increased significantly from pre-pandemic levels: 14% met the criteria for clinical depression at baseline, compared with 26% during the pandemic. Younger age, female gender, higher depression scores at baseline, living alone and having a long-standing illness were significant risk factors. Gender-stratified regression models indicated that older age was protective for women only, whereas urban living increased risk among women only. Being an alcohol consumer was a protective factor among men only. Conclusions Depression in UK adults aged ≥50 years increased significantly during the pandemic. Being female, living alone and having a long-standing illness were prominent risk factors. Younger women living in urban areas were at particularly high risk, suggesting such individuals should be prioritised for support. Findings are also informative for future risk stratification and intervention strategies, particularly if social restrictions are reimposed as the COVID-19 crisis continues to unfold.

Food insecurity and depressive symptoms of older adults living alone in South Korea

2018 ◽  
Vol 39 (9) ◽  
pp. 2042-2058 ◽  
Author(s):  
YOUNGMI KIM ◽  
AELY PARK ◽  
KYEONGMO KIM
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
South Korea ◽  
Food Insecurity ◽  
Low Income ◽  
Living Alone ◽  
Financial Strain ◽  
Ageing Population ◽  
Effect Of Food ◽  
The Relationship

ABSTRACTIn South Korea, the number of older adults living alone is rapidly increasing with the growth of the ageing population. Although there is some evidence of a link between financial strain and depression in this population, there is limited empirical evidence on the relationship between food insecurity and depression in older adults living alone despite the fact that they have a high prevalence of food insecurity and tend to seek food assistance. This study aims to investigate whether food insecurity explains depressive symptoms in Korean older adults living alone. We employed data from the Korea Welfare Panel Study collected from a large-scale national sample in South Korea. Our sample consisted of 815 older adults aged 65 or older who lived alone. Conducting ordinary least square regression analyses, we tested the main effect of food insecurity on depression and the interaction effect of food insecurity and low income. We found that the relationship between food insecurity and depressive symptoms differed by low-income status (b = 6.27, p = 0.047). The association was significant only in the low-income group (b = 1.37, p = 0.04). These findings suggest that protecting access to food may be a promising strategy to lessen depressive symptoms associated with financial strain among older adults living alone.

scholarly journals How Much Do Older Adults Living Alone in Rural South Korea Know About Dementia?

2018 ◽  
Vol 51 (4) ◽  
pp. 188-195 ◽  
Author(s):  
Mi Sook Kim ◽  
Dong-Soo Shin ◽  
Yong-jun Choi ◽  
Jin Soon Kim
Keyword(s):  
Older Adults ◽  
South Korea ◽  
Living Alone ◽  
Rural South

scholarly journals Social isolation and loneliness as risk factors for hospital admissions for respiratory disease among older adults

Thorax ◽  
2020 ◽  
Vol 75 (7) ◽  
pp. 597-599 ◽  
Author(s):  
Feifei Bu ◽  
Keir Philip ◽  
Daisy Fancourt
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Respiratory Disease ◽  
Hospital Admissions ◽  
Social Contact ◽  
Living Alone ◽  
Social Risk ◽  
Social Risk Factors ◽  
Increased Risk

Rising hospital admissions due to respiratory disease (RD) are a major challenge to hospitals. This study explored modifiable social risk factors among 4478 older adults from the English Longitudinal Study of Ageing. Data were linked with administrative hospital records and mortality registry data (follow-up 9.6 years) and analysed using survival analysis accounting for competing risks. Living alone and social disengagement but not social contact or loneliness were associated with an increased risk of RD admissions, independent of socio-demographic, health and behaviour factors. Providing support for disengaged adults living alone who are at risk of RD admissions should be explored.

scholarly journals SILVER FRIEND: A SMART SPEAKER PROJECT TO ASSIST LOW-INCOME OLDER ADULTS LIVING ALONE IN SOUTH KOREA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S250-S250
Author(s):  
Jongwoong Kim
Keyword(s):  
Older Adults ◽  
South Korea ◽  
Low Income ◽  
Empirical Studies ◽  
Rental Housing ◽  
Pilot Project ◽  
Global Market ◽  
Living Alone ◽  
Policy Model ◽  
Age In Place

Abstract Ownership rate of smart speakers in the U.S. reaches 21 percent in late 2018, and the growth of the global market is predicted to explode in the coming years. With this trend, there is an increasing expectation that smart speakers can assist older adults to stay independently in their homes as they age. However, there still is a shortage of empirical studies and evidence that these devices can actually be effective in helping older adults age in place. This paper describes a pilot project, Silver Friend, in South Korea, which utilizes a smart speaker, NUGU, to help low income older adults who live alone remain their homes as actively and safely as possible. The Silver Friend project has largely two goals: 1) reducing the older adults’ loneliness and 2) improving emergency response via the NUGU’s voice recognition and data monitoring system. Initially, the project served 90 older adults who live alone in government-purchased rental housing. This project was a result of a public-private partnership led by a South Korean tech/telecom giant, SK Corporation, practicing its corporate social responsibility. In South Korea, 15 percent of the population is age 65 and older, and 20 percent of them (approximately 1.5 million older adults) are living alone and/or in need of financial assistance. With the ever-expanding global market for smart speakers, this paper focusing on a case in South Korea describes evidence and a potential policy model in utilizing a smart speaker to help achieve the goal of aging in place.

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