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박보경 ( Park Bo Kyung ),강희철 ( Hee Cheol Kang ),강대용 ( Ryong Kang Dae ),지선하 ( Sun Ha Jee ) 한국보건정보통계학회(구 한국보건통계학회) 2012 보건정보통계학회지 Vol.37 No.2
Objectives: This study investigates the associations between parents and adult-offspring obesity in South Korea. Methods: Secondary data analysis was performed using the dataset from the Korean National Health and Nutrition Examination Survey Ⅴ, 2010. The sample comprised 1,110 members of families including offspring aged 19 or above (370 parent-offspring trios). Data were analyzed using descriptive statistics, partial correlations, simple linear regression, and multivariate logistic regression. Results: Simple linear regression analysis showed a significant association between parental and offspring BMI. Among the parental obesity groups, the odds ratio of offspring obesity was the greatest when both parents were obese. There was no significant difference in the strength of the odds ratio between sons (OR=5.13, 95% CI=1.34-19.60) and daughters (OR=4.47, 95% CI=1.05-19.14). Conclusions: Persons aged 19 or above who are living with obese parents have a higher risk of obesity. Obesity-prevention interventions should be designed in consideration of the associations between the parental and offspring obesity.
김성화 ( Sung Hwa Kim ),임지혜 ( Jihye Lim ),강대용 ( Dae Ryong Kang ) 한국보건정보통계학회 2023 보건정보통계학회지 Vol.48 No.6
With the advancement and acceleration of digital technology, the demand and supply of healthcare big data are increasing. In Korea, the government and companies have made various efforts to utilize healthcare big data, such as deregulation data-related legal regulations and data linkage between different institutions. As a result, many researchers have been able to access a variety of healthcare big data. Although healthcare big data has a vast amount and high value, many researchers are unable to fully access healthcare big data because there are difficulties in processing, analysis, and interpretation for data. The data visualization is recognized as an important tool that can solve these limitations. Using data visualization, researchers can intuitively understand complex data and receive support for decision-making. Additionally, these visualizations promote effective communication between experts in different fields and between experts and non-experts. Visualization is used in a variety of research fields and processes, including data summarization, data exploration, and evaluation and interpretation of predictive models. Various types of visualization have different meanings depending on how they are expressed. Therefore, it is important to express the meaning of visualization appropriately. This study provides representative examples of visual representations for data summarization, data exploration, and predictive model evaluation. This study aimed to improve easier access and utilization of healthcare big data by providing R code and visualization results.
체질량 지수와 생활습관에 따른 한국 가임 여성의 월경장애 유병률과 변화 추이: 국민건강보험공단 국가건강검진(2009~2016) 자료 활용
박소미(Park, SoMi),윤태웅(Yoon, Tae Woong),강대용(Kang, Dae Ryong),정재원(Chung, ChaeWeon) 한국간호과학회 2020 Journal of Korean Academy of Nursing Vol.50 No.3
Purpose: This study was performed to identify the prevalence of menstrual disorders in Korean women based on body mass index (BMI) and lifestyle factors, by utilizing the Korean National Health Insurance Database. Methods: A retrospective observational study design was used for the secondary data analysis. Data of women aged 15 to 49 years who were diagnosed with menstrual disorders were extracted from The National Health Insurance Service-National Health Screening Cohort in Korea from 2009 to 2016. The age-standardized prevalence rate of menstrual disorders was calculated using SAS version 9.4, and a Chi-square test and Cochran-Armitage test were performed. Results: In total, 2,219,445 cases were extracted from the database. The prevalence of menstrual disorders significantly increased from 8.6% to 11.6% (Z=135.16, p for trend <.001) over the past eight years. In particular, it was higher in underweight women than in women with normal weight across all years (Z=-4.18~-14.72, p <.001). Moreover, statistically significant differences in the prevalence of menstrual disorders were found to be associated with drinking and smoking in all years and with physical activity levels in part (p <.05~.001). Conclusion: These findings present compelling evidence on the prevalence of menstrual disorders based on a national database. Since the prevalence of menstrual disorders has steadily increased and differs based on BMI and lifestyle factors, educational and clinical interventions are necessary to promote risk awareness and appropriate behavioral changes among Korean women.
소방공무원에서 탄력성이 외상후스트레스 증상과 해리에 미치는 영향 : 우울의 매개 효과
권태훈,현소연,정영기,임기영,노재성,강대용,하귀염,김남희,Kwon, Tae Hoon,Hyun, So Yeon,Chung, Young Ki,Lim, Ki Young,Noh, Jae Sung,Kang, Dae Ryong,Ha, Gwiyeom,Kim, Nam Hee 한국정신신체의학회 2016 정신신체의학 Vol.24 No.1
연구목적 본 연구는 소방공무원에서 탄력성이 외상후스트레스 증상 및 해리에 미치는 영향과 함께, 탄력성과 각 외상후스트레스 증상 및 해리의 관계에서 우울의 매개효과에 대해서 알아보고자 하였다. 방 법 총 115명의 소방공무원을 대상으로, 생활사건 체크리스트, 사건충격척도-개정판, 해리경험척도, 벡 우울척도, 코너-데이비슨 탄력성 척도를 시행하였다. 탄력성이 외상후스트레스 증상과 해리에 미치는 영향 및 우울의 매개효과를 확인하기 위해 구조방정식모형(Structural equation modeling)과 경로분석(path analysis)을 실시하였다. 결 과 탄력성이 높을수록 낮은 외상후스트레스 증상과 낮은 해리를 보였으며, 각 탄력성과 외상후스트레스 증상 및 해리의 관계는 우울이 완전 매개를 하는 것으로 나타났다. 즉, 탄력성이 외상후스트레스 증상 및 해리에 대해 직접적인 영향이 아닌 우울을 통해 간접적으로 각 증상을 감소시킴을 보여주었다. 결 론 본 연구는 소방공무원에서 외상후스트레스 증상 및 해리의 예방과 치료에 있어 탄력성 강화와 우울 증상 감소를 목표로 한 임상적 개입이 중요함을 시사한다. Objectives : This study aimed to investigate the effects of resilience on posttraumatic stress symptoms and dissociation and whether depression mediates the relationships between resilience and posttraumatic stress symptoms and dissociation. Methods : A total of 115 firefighters participated in the study. Data were collected via the Life Events Checklist, Impact of Event Scale-Revised, Dissociative Experience Scale, Beck Depression Inventory, and Connor-Davidson Resilience Scale. Structural equation modeling and path analysis were applied to estimate the relationships between resilience, depression, posttraumatic stress symptoms, and dissociation. Results : Greater resilience was associated with lower posttraumatic stress symptoms and dissociation, and the relationship between them was fully mediated by depression. Conclusions : Specific aspects of depression may help explain the relationships between resilience and posttraumatic stress symptoms and dissociation. Tailored prevention programs and treatments based on resilience and depression may prevent posttraumatic stress symptoms and dissociation in firefighters and improve treatments outcomes among firefighters with posttraumatic stress symptoms and/or dissociation.