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Factors Associated with Insomnia among the Elderly in a Korean Rural Community
WooJung Kim,Wontak Joo,Jiwon Baek,SungYun Sohn,Namkoong Kee,Yoosik Youm,HyeonChang Kim,YeongRan Park,SangHui Chu,EunLee 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.4
Objective-Sleep disturbance is common in the elderly, which is result from multi-factorial causes encompassing socio-demographic, behavioral, and clinical factors. We aimed to identify factors associated with insomnia among the elderly in a rural community in South Korea, a country with a rapidly growing aged population. Methods-This cross-sectional study used the data from the second wave of the Korean Social life, Health and Ageing Project, which is a cohort study of individuals living in a typical rural community in South Korea. Socio-demographic, behavioral, and clinical characteristics were obtained through face-to-face interviews. Various factors suspected to be associated with insomnia were compared between elderly participants with and without insomnia, and multiple logistic regression analyses were conducted to identify independent risk factors for insomnia. Results-We found that 32.4% of 509 participants (72.8±7.7 years old) had insomnia. Female sex [odds ratio (OR)=2.19], low education level (OR=2.44), current smoking (OR=2.26), number of chronic diseases (OR=2.21 for 2-3 chronic diseases; OR=2.06 for 4 or more chronic diseases), and depression (OR=2.53) were independently associated with insomnia. Conclusion-We found that sex, education, chronic disease, and depression independently increase the risk of insomnia of the elderly in a Korean rural community. To overcome the elderly’s insomnia, interventions should target modifiable factors such as depression. To promote active aging, longitudinal studies of factors associated with insomnia among the elderly should be performed in different regions and communities.
NamWook Hur,HyeonChang Kim,Linda Waite,Yoosik Youm 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.1
Objective-To investigate the buffering effects of social support as an effects modifier in the association between depression and inflammation in the elderly. Methods-We analyzed the Korean Social Life, Health, and Aging Project (KSHAP) for questionnaire, clinical, and laboratory data of 530 older adults living in a rural community. Multivariate regression models were used to investigate the association between depressive symptoms and C-reactive protein level (CRP), a marker of inflammation, at varying levels of social support. Results-Social support affected the association between depressive symptoms and CRP level in both sexes. However, the direction of effects modification was different for men and women. In men, a higher CRP level was significantly associated with depressive symptoms only among those with lower support from a spouse or family members. By contrast, in women, the association was significant only among subgroups with higher spousal or family support. Social support from neighbors or friends did not affect the depression-inflammation relationship in men but modestly affected the relationship in women. Conclusion-Our findings suggest that social support may have a buffering effect in the relationship between depression and inflammation in elderly Koreans. But the influence of social support may run in different directions for men and women.
김문성(Moonsung Kim),박건(Geon Park),추현창(Hyeonchang Chu),함현준(Hyeonjun Ham),이승헌(Seungheon Lee),엄희승(Heeseung Eom),유명한(Myeonghan Yu),정경용(Kyungyong Chung) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.6
매년 산불 발화는 꾸준하게 발생하며 산불로 인한 산림의 손실은 산불 발생 건수에 비례하여 발생한다. 이로 인해 국내에서도 산불로 인한 산림의 피해와 인적·물적 피해를 줄이기 위해 국가 산불 예보 시스템을 구축하는 등 많은 노력을 하고 있다. 산불의 원인은 기상, 지형 등과 같은 자연적인 요인보다는 쓰레기 소각, 입산자 방화, 담배꽁초 등과 같은 인위적인 요인과 더 높은 상관관계를 가진다. 이로 인해 발생한 산불이 대형 산불로 확산하는 데에는 기상적인 요인과 높은 상관관계를 가진다. 본 연구는 다항회귀를 기반으로 기상 요인과 피해 면적 사이의 상관관계 분석을 제안한다. 산림청에서 제공하는 통계자료를 활용하여 산불 발생 시점의 풍속, 기온 등과 같은 기상 데이터와 해당 산불의 피해면적 사이의 상관관계를 다항회귀 분석하고 시각화한다. Every year, forest fires occur continuously, and the loss of forests due to forest fires is proportional to the number of forest fires. Accordingly, in Korea, many efforts are being made, such as establishing a national forest fire forecasting system to reduce damage to forests and human and material damage caused by forest fires. The causes of forest fires in Korea have a higher correlation with artificial factors such as waste incineration, arson of tenants, and cigarette butts rather than natural factors such as weather and topography. There is a higher correlation with meteorological factors in the spread of forest fires caused by this to large forest fires. This study proposes a correlation analysis between weather factors and damage areas based on polynomial regression. This uses statistical data provided by the Korea Forest Service to analyze and visualize the correlation between weather data such as wind speed and temperature at the time of forest fire and the damage area of the forest fire.