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    2D ์˜์ƒ์—์„œ ์‹œ๊ฐ„ ํŠน์ง•๊ณผ ์ง€์—ญ์  ํŠน์ง•์˜ ๋ถ„์„์„ ํ†ตํ•œ ์‚ฌ๋žŒ ํฌ์ฆˆ ๊ฒ€์ถœ ๋ฐ ์ถ”์ 

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(์ง€๋Šฅํ˜•์œตํ•ฉ์‹œ์Šคํ…œ์ „๊ณต), 2021. 2. ๊ณฝ๋…ธ์ค€.2D human pose estimation and tracking aim to detect the location of a person's parts and their trajectory. A pose is composed of parts of a person, and a person's part is an element of the body such as arms, legs and head. Pose estimation technique is being utilized both industrially and academically. For example, in a home training system, pose detection can detect the user's pose and help the user correct the posture. Also, in human action recognition research, human pose information can be exploited as a helpful supplementary information. In order to apply human pose studies to real-world systems, the model is required to be of high performance and also light enough to run in a real-time manner. In this paper, we have focused on improving accuracy. We have considered how to utilize the feature values to achieve high accuracy using the spatial and temporal features. Spatial feature means characteristic values such as textures, patterns, and postures that can be extracted from images. We have made better use of the spatial feature by dividing it into local and global features. The global feature is likely to include a large number of parts, while the local feature focuses on a relatively small number of parts. First, we have proposed a structure that can use the global-local feature at the same time to improve the performance. The global network intensively learns the global feature, and the local network can learn various regional information from images. The local network performs as a function of refining the pose detected in the global network sequentially. To prove the efficiency of the proposed method, experiments have been conducted on the Leeds sports dataset (LSP) data, which is one of the single-person pose estimation datasets. Secondly, we define the rare pose using global feature and solve the imbalance in poses. First of all, the poses are classified using location information of the entire pose. Experiments have shown that the poses are distributed around certain poses (standing poses, upper body poses, etc.), and an imbalance between them apparently exists. We have proposed methods such as weighted loss, synthesizing rare pose data, etc. to resolve the imbalance. Experiments are conducted using MPII and COCO data, which are widely used in multi-person pose estimation. The temporal feature refers to the varying information of poses along the time. It is usually recommended to use time information when analyzing objects in a video. Therefore thirdly, we have estimated and tracked the poses with a map that expresses the change of a person's movement. The network learns the spatial and temporal maps together to create synergy between each other. The experiment has been conducted in multi-person pose tracking data, Posetrack 2017 and 2018. Even if the proposed three methods improve different issues, utilized together. For example, a new structure is a top-down approach and has parallel two deconvolutions for spatial (Heatmap) and temporal map (TML). Additionally, the rare pose data augmentation and the local network are applied to increase performance. Thus, adopting three methods is available to improve performance and more extensible in the pose estimation field.2D ์ด๋ฏธ์ง€์—์„œ ์‚ฌ๋žŒ์˜ ํฌ์ฆˆ๋ฅผ ๊ฒ€์ถœํ•˜๋Š” ์—ฐ๊ตฌ๋Š” ์‚ฌ๋žŒ์˜ ํŒŒํŠธ๋“ค์˜ ์œ„์น˜๋ฅผ ๊ฒ€์ถœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœํ•œ๋‹ค. ํฌ์ฆˆ๋Š” ์‚ฌ๋žŒ์˜ ํŒŒํŠธ๋“ค๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ๊ณ  ์‚ฌ๋žŒ์˜ ํŒŒํŠธ๋Š” ํŒ”, ๋‹ค๋ฆฌ, ๋จธ๋ฆฌ ๋“ฑ์œผ๋กœ ์‚ฌ๋žŒ์„ ๊ตฌ์„ฑํ•˜๋Š” ์‹ ์ฒด์˜ ์š”์†Œ๋“ค์„ ์˜๋ฏธํ•œ๋‹ค. ์‚ฌ๋žŒ์˜ ํฌ์ฆˆ ์ •๋ณด๋Š” ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ์‚ฌ๋žŒ์˜ ๋™์ž‘ ๊ฐ์ง€ ์—ฐ๊ตฌ ๋ถ„์•ผ์—์„œ๋Š” ์‚ฌ๋žŒ์˜ ํฌ์ฆˆ ์ •๋ณด๊ฐ€ ๋งค์šฐ ํ›Œ๋ฅญํ•œ ์ž…๋ ฅ ํŠน์ง• ๊ฐ’์œผ๋กœ ์‚ฌ์šฉ๋œ๋‹ค. ์‚ฌ๋žŒ์˜ ํฌ์ฆˆ ๊ฒ€์ถœ ์—ฐ๊ตฌ๋ฅผ ์‹ค์ œ ์‹œ์Šคํ…œ์— ์ ์šฉํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋†’์€ ์ •ํ™•๋„, ์‹ค์‹œ๊ฐ„์„ฑ, ๋‹ค์–‘ํ•œ ๊ธฐ๊ธฐ์— ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•˜๋„๋ก ๊ฐ€๋ฒผ์šด ๋ชจ๋ธ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ •ํ™•๋„๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ์—ฐ๊ตฌ์— ์ดˆ์ ์„ ๋งž์ท„๋‹ค. ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด์„œ ํŠน์ง•๊ฐ’์„ ์–ด๋–ป๊ฒŒ ํ™œ์šฉํ• ์ง€์— ๋Œ€ํ•ด ๊ณ ๋ฏผ์„ ํ–ˆ์œผ๋ฉฐ, ์ง€์—ญ์  ํŠน์ง•๊ฐ’๊ณผ ์‹œ๊ฐ„ ํŠน์ง•๊ฐ’์„ ์‚ฌ์šฉํ•ด์„œ ๋ฌธ์ œ๋ฅผ ๊ฐœ์„ ํ–ˆ๋‹ค ์ง€์—ญ์  ํŠน์ง•๊ฐ’์€ ์‚ฌ๋žŒ์˜ ํ…์Šค์ณ, ํ˜•ํƒœ์™€ ๊ฐ™์€ ํŠน์ง•์„ ํ‘œํ˜„ํ•˜๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ์šฐ๋ฆฌ๋Š” ์ง€์—ญ์  ํŠน์ง• ๊ฐ’์„ ๋‹ค์ˆ˜์˜ ํŒŒํŠธ๋ฅผ ๋‹ด๊ณ  ์žˆ๋Š” Global feature ์™€ ์†Œ์ˆ˜์˜ ํŒŒํŠธ๋ฅผ ๋‹ด๊ณ  ์žˆ๋Š” Local feature๋กœ ๋ถ„๋ฅ˜ํ•ด์„œ ๋ฌธ์ œ๋ฅผ ์ ‘๊ทผํ–ˆ๋‹ค. ์ฒซ๋ฒˆ์งธ๋กœ๋Š” global-local feature ์„ ๋™์‹œ์— ์‚ฌ์šฉํ•ด์„œ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•˜๋Š” ์—ฐ๊ตฌ์— ์ง‘์ค‘ํ–ˆ๋‹ค. Global feature์„ ์ง‘์ค‘์ ์œผ๋กœ ํ•™์Šตํ•˜๋Š” ๋„คํŠธ์›Œํฌ์™€ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ local ์ •๋ณด๋ฅผ ํ•™์Šต ํ•  ์ˆ˜ ์žˆ๋Š” local network์„ ์„ค๊ณ„ํ–ˆ๋‹ค. Local network์—์„œ๋Š” global network์—์„œ ๊ฒ€์ถœํ•œ ํฌ์ฆˆ๋ฅผ ๋‹ค์‹œ ํ•œ๋ฒˆ ๊ฐœ์„ ํ•˜๋Š” ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์˜ ํšจ์œจ์„ฑ์„ ์ฆ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ single-person pose estimation ๋ฐ์ดํ„ฐ ์ค‘ ํ•˜๋‚˜์ธ Leeds sports dataset (LSP) ๋ฐ์ดํ„ฐ์—์„œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ๋‘๋ฒˆ์งธ๋กœ๋Š” globalํ•œ ์ •๋ณด๋ฅผ ํ†ตํ•ด ํฌ๊ท€ํ•œ ํฌ์ฆˆ๋ฅผ ๊ฒ€์ถœํ•ด์„œ ํฌ์ฆˆ์˜ ๋ถˆ๊ท ํ˜•์„ ํ•ด์†Œํ•ด ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ์šฐ์„ ์ ์œผ๋กœ ํฌ์ฆˆ ๋ฐ์ดํ„ฐ ๋‚ด์—์„œ ์ „์ฒด ํฌ์ฆˆ์˜ ์œ„์น˜ ์ •๋ณด๋ฅผ ์‚ฌ์šฉํ•ด์„œ ํฌ์ฆˆ๋“ค์„ ๋ถ„๋ฅ˜ํ–ˆ๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ์ผ์ • ํฌ์ฆˆ๋ฅผ (์„œ์žˆ๋Š” ํฌ์ฆˆ, ์ƒ๋ฐ˜์‹ ๋งŒ ์žˆ๋Š” ํฌ์ฆˆ ๋“ฑ) ์ค‘์‹ฌ์œผ๋กœ ํฌ์ฆˆ๋“ค์ด ๋ถ„ํฌ ๋œ๋ฉฐ ํฌ์ฆˆ ๊ฐ„์˜ ๋ถˆ๊ท ํ˜•์ด ์žˆ์Œ์„ ๋ฐํ˜€๋ƒˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ํฌ์ฆˆ ๊ฐ„์˜ ๋ถˆ๊ท ํ˜•์„ ํ•ด์†Œํ•˜๊ธฐ ์œ„ํ•ด weight loss, generate rare pose data ๋“ฑ์˜ ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์˜ ํšจ์œจ์„ฑ์„ ์ฆ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ multi-person pose estimation ๋ฐ์ดํ„ฐ์—์„œ ๋งŽ์ด ์‚ฌ์šฉ๋˜๋Š” MPII์™€ COCO ๋ฐ์ดํ„ฐ์—์„œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ์‹œ๊ฐ„ ํŠน์ง•๊ฐ’์€ ์‹œ๊ฐ„ ํ๋ฆ„์— ๋”ฐ๋ฅธ ์›€์ง์ž„ ๋ณ€ํ™”๊ฐ’์„ ์˜๋ฏธํ•œ๋‹ค. ๋™์˜์ƒ์—์„œ ๊ฐ์ฒด๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์‹œ๊ฐ„ ์ •๋ณด๋ฅผ ํ™œ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹๋‹ค. ๊ทธ๋ž˜์„œ ์„ธ๋ฒˆ์งธ๋กœ ์šฐ๋ฆฌ๋Š” ์‚ฌ๋žŒ์˜ ์›€์ง์ž„ ๋ณ€ํ™”๋ฅผ ๋งต์œผ๋กœ ํ‘œํ˜„ํ•ด์„œ ํฌ์ฆˆ๋ฅผ ์ถ”์ ํ–ˆ๋‹ค. ์ด๋•Œ ํฌ์ฆˆ์˜ ์ง€์—ญ์  ํŠน์ง•๊ฐ’๊ณผ ๊ฐ™์ด ํ•™์Šตํ•ด์„œ ์„œ๋กœ๊ฐ„์˜ ์‹œ๋„ˆ์ง€ ํšจ๊ณผ๋ฅผ ๋‚ผ ์ˆ˜ ์žˆ๋„๋ก ๋„คํŠธ์›Œํฌ๋ฅผ ์ œ์•ˆํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์˜ ํšจ์œจ์„ฑ์„ ์ฆ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ multi-person pose tracking ๋ฐ์ดํ„ฐ์ธ posetrack 2017 ๊ณผ 2018์—์„œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ง€์—ญ์  ํŠน์ง•๊ณผ ์‹œ๊ฐ„์  ํŠน์ง•์„ ํ™œ์šฉํ•ด์„œ ํฌ์ฆˆ์˜ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•˜๋Š” ๋ฐฉ๋ฒ•๋“ค์„ ์ œ์•ˆํ–ˆ๋‹ค. ์„œ๋กœ ๋‹ค๋ฅธ ๋ฌธ์ œ๋“ค์„ ํ•ด๊ฒฐํ–ˆ์ง€๋งŒ ๋‚˜์•„๊ฐ€ ํ•˜๋‚˜๋กœ ๋ฌถ์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐ ํ•  ์ˆ˜ ์žˆ๋‹ค. ์˜ˆ๋ฅผ๋“ค์–ด, top-down ํ˜•ํƒœ์˜ ๋„คํŠธ์›Œํฌ ๊ตฌ์กฐ์—์„œ Heatmap๊ณผ TML์„ ๊ฐ๊ฐ ํ•™์Šต ํ•  ์ˆ˜ ์žˆ๋Š” ํ‰ํ–‰์  ๊ตฌ์กฐ์˜ decovolution network์„ ์ œ์•ˆ ํ•  ์ˆ˜ ์žˆ๋‹ค. ์—ฌ๊ธฐ์— Heatmap์˜ ์„ฑ๋Šฅ ๊ฐœ์„ ์„ ์œ„ํ•ด local network์™€ rare pose data augmentation ๋ฐฉ์‹ ๋˜ํ•œ ์ถ”๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋ ‡๊ฒŒ ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์„ ๊ฒฐํ•ฉํ•ด์„œ ๋” ๋‚˜์€ ํฌ์ฆˆ์˜ ์„ฑ๋Šฅ์„ ๊ฐœ์„  ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋“ค์ด ์ œ์•ˆ ๋  ์ˆ˜ ์žˆ๋‹ค.Abstract i Contents iii List of Tables vi List of Figures viii 1. Introduction 1 1.1 Spatial feature 3 1.1.1 Global-local network 4 1.1.2 Exploring rare pose estimation using global pose information 5 1.2 Temporal feature 6 2. Related work 8 2.1 Single-person pose estimation 8 2.2 Multi-person pose estimation 10 2.3 Multi-person pose tracking 14 2.4 Datasets and measurements 15 2.4.1 Leeds Sports Pose (LSP) dataset 16 2.4.2 MPII dataset 16 2.4.3 COCO 2017 keypoint dataset 17 2.4.4 PoseTrack 19 3. Single-person pose estimation 22 3.1 Global-local Network 24 3.2 Experiments 28 4. Rare pose estimation 39 4.1 Identification of Rare Pose 39 4.2 Enhancing the performance of rare pose estimation 41 4.2.1 Duplication of Rare Pose Samples (DRP) 42 4.2.2 Addition of Synthetic Rare Pose data (ASRP) 43 4.2.3 Weighted Loss based on Cluster Distance (WLCD) 47 4.2.4 Divide and Conquer Strategy for pose estimation (DACP) 48 4.3 Experiments 48 4.3.1 Results of Rare Pose Identification 50 4.3.2 Results of Proposed Methods 57 5. Multi-person pose estimation and tracking 62 5.1 Temporal flow Maps for Limb movement (TML) 65 5.2 Multi-stride method 69 5.3 Inference 70 5.4 Experiments 74 6. Future work 81 Abstract (In Korean) 97 ๊ฐ์‚ฌ์˜ ๊ธ€ 99Docto

    A Systematic Review of School-bullying Interventions for Children and Adolescents in Korea

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    Purpose: Bullying is a global problem, and various programs are under way to prevent it. The purpose of this study was to review school bullying interventions for Korean school-age children and adolescents. Methods: Online databases such as RISS, KISS, DBpia, NDSL and KMBASE were searched, identifying 32 intervention studies published from January 2009 to November 2018. Results: Thirty-two intervention studies were identified: 23 included school bullying prevention and 9 included school bullying treatment for victims or youth at high risk for bullying. The main purpose of preventive intervention was to decrease the bystander's attitude toward group bullying and treatment program was to improve the psychosocial adaptation of bullying victims. The school bullying interventions varied from group counseling, social skills training, art therapy, bibliotherapy using role-play, game & activities. Classroom environment variables and self-esteem, peer-related variables improved significantly after the school bullying prevention programs and school bullying treatment programs, respectively. Conclusion: There is potential for enhancing the outcomes of the behavioral, interpersonal psychological variable. Integrated interventions considering the individuality, gender and physical health of children and adolescents will also be needed. However, a rigorous study design is required to compensate for the methodological limitations

    Association between daily protein intake and cardiometabolic risk factors and metablic syndrome in Korean elderly women: Based on the Korea National Health and Nutrition Examination Survey, 2009~2013

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    Background: The Rrecommended daily aAllowances (RDA) of for protein is increasing in recent studieshas increased in recent studies. However, virtual protein intake is lower than the RDA in the majority of Korean elderly Korean women. ObjectPurpose: This study was performed to evalauate the relationship between protein intake, and cardiometabolic risk factors, and metabolic syndrome in Korean elderly Korean women group. Methods: This study used the data from Korea National Health and Nutrition Survey administered from for 5years in 2009~2013. We performed multivariate analysis for on the association of between protein intake with and cardiometabolic risk factors including body weight, weight circumference, blood pressure, glucose, triglycerides, and HDL. We controlled for age, physical activity, energy intake, carbohydrate intake, total fat intake, smoking, and alcohol consumption. Then weWe then performed logistic regression analysis to study of the associateion with metabolic syndrometo assess association with metabolic syndrome. Results: Protein intake was inversely associated with BMI and, weight circumference, ,whereas a positive association was observed between protein intake and HDL cholesterol, especially in the normal weight group. Protein intake also haswas also association associated with metabolic syndrome. Conclusion: In this study, protein intake is was related associated with cardiometabolic risk factors and metabolic syndrome. We recommend sufficient protain protein intake in elderly women to decrease cardiometabolic risk factors and metabolic syndrome.ope

    Association between Body Mass Index, Waist Circumference and Prevalence of Microalbuminuria in Korean Adults of Age 30 Years and Older without Diabetes, Hypertension, Renal Failure, or Overt Proteinuria: The 2013 Korean National Health and Nutrition Examination Survey

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    BACKGROUND: Microalbuminuria and obesity markers are known risk factors for cardiovascular or renal disease. This study aimed to evaluate the prevalence of microalbuminuria according to body mass index (BMI) and abdominal obesity criteria. METHODS: The study subjects included 3,979 individuals aged 30 years or older who did not have diabetes, hypertension, renal failure, or overt proteinuria, from among those who participated in The Korean National Health and Nutrition Examination Survey in 2013, a cross-sectional, nationally representative, stratified survey. Microalbuminuria was defined as a urinary albumin to creatinine ratio of 30 to 300 mg/g. BMI and waist circumference were classified according to the Asia-Pacific criteria. RESULTS: The prevalence of microalbuminuria was found to be 5.1%. In the normoalbuminuria group, 3.4%, 41.7%, 24%, 27.6%, and 3.2% of participants were included in the underweight, normal, overweight, obesity 1, and obesity 2 groups, respectively. These percentages in the microalbuminuria group were 7.1%, 34.5%, 19.2%, 28.6%, and 10.6%, respectively (P<0.001). The waist circumference in men was 21.4% in the normoalbuminuria group and 36.5% in the microalbuminuria group (P=0.004). Logistic regression analyses were performed to evaluate the relationship between the presence of microalbuminuria and BMI or waist circumference groups. The risk of microalbuminuria was significant only in the underweight group (odds ratio, 13.22; 95% confidence interval, 2.55-68.63; P=0.002) after adjusting for confounding factors, abdominal obesity was not significantly associated with microalbuminuria. CONCLUSION: The prevalence of microalbuminuria in a general population in Korea was associated with underweight in men and was not associated with waist circumference in either men or women.ope

    Association between sleep duration and bone mineral density density in Korean adults over 18years old: Based on the Korea National Health and Nutrition Examination Survey, 2010

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    Background: Sleep duration is associated with many diseases, yet few studies have been performed on the association between sleep duration and bone mineral density(BMD) in Korea. In this study we investigated the association between sleep duration and bone mineral density in adults over 18 years of age. Methods: Subjects of this study were adults over 18 years of age who responded to a questionnaire on sleep duration and underwent BMD measurement by dual X-ray absorptiometry. Comprehensive data on the study sample was obtained from the Korean National Health and Nutrition Examination Survey(KHANES) conducted in 2010. Age- and sex-stratified multiple regression analyses were conducted with adjustment for possible confounding factors. Results: There was an inverse, dose-dependent association between sleep duration and BMD measured in the total femur, femur neck, lumbar spine and total bone in both women over 50 years of age and men between 30 and 49 years of age. Sex-stratified multiple regression analysis adjusted for age and body mass index revealed a negative correlation between sleep duration and BMD in the total femur and femur neck in both genders over 50 years of age, as well as in women between ages 30 and 49. Initial significance disappeared after adjustment for additional covariates including smoking, alcohol, and exercise. Conclusion: Significant variations in regional BMD with sleep duration were observed among women and men between ages 30 and 49. Prolonged sleep duration appears to be a risk factor for low bone mineral density. Thus, adequate sleep duration is important for preventing osteoporosisope

    The experience of fathering a young child with severe congenital heart disease

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฐ„ํ˜ธํ•™๊ณผ ๊ฐ„ํ˜ธํ•™์ „๊ณต, 2015. 8. ์ฑ„์„ ๋ฏธ.ํ˜„๋Œ€์‚ฌํšŒ๋Š” ๋งž๋ฒŒ์ด์˜ ์ฆ๊ฐ€์™€ ์•„๋ฒ„์ง€์˜ ์ค‘์š”์„ฑ์ด ์žฌ๋ฐœ๊ฒฌ๋˜๋ฉด์„œ ์•„๋ฒ„์ง€์˜ ์—ญํ• ์ด ๋Œ€๋‘ํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™์˜ ํƒ„์ƒ์€ ๋ถ€๋ชจ์—๊ฒŒ ์žฅ๊ธฐ์ ์ธ ๋ถ€๋‹ด์„ ์ฃผ๋ฉฐ ์•„๋ฒ„์ง€์˜ ์—ญํ• ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ์„ ์ €ํ•ดํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ๊ด€์‹ฌ์ด ํ•„์š”ํ•˜๋‹ค. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€์˜ ๊ฒฝํ—˜์€ ๋‚จ์„ฑ์„ฑ๊ณผ ํ•œ๊ตญ์‚ฌํšŒ์˜ ์ธ์Šต์˜ ์˜ํ–ฅ์œผ๋กœ ํ˜„์‹ค์—๋Š” ์ž˜ ๋“œ๋Ÿฌ๋‚˜์ง€ ์•Š๋Š”๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์šฐ๋ฆฌ์˜ ๊ฐ„ํ˜ธ๋Œ€์ƒ์ž์ด์ž ์•„๋™์˜ ์–‘์œก ์ฃผ์ฒด๋กœ์„œ์˜ ์•„๋ฒ„์ง€๋Š” ๊ฐ„๊ณผ๋˜๊ธฐ ์‰ฝ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€์˜ ๋ถ€์„ฑ๊ฒฝํ—˜์€ ์–ด๋– ํ•œ๊ฐ€?๋ผ๋Š” ์—ฐ๊ตฌ ๋ฌธ์ œ๋ฅผ ํ†ตํ•ด ์•„๋ฒ„์ง€์˜ ๊ฒฝํ—˜๊ณผ ๋ณ€ํ™” ๊ทธ๋ฆฌ๊ณ  ์ด๋Ÿฌํ•œ ๊ฒฝํ—˜๋“ค์ด ์•„๋ฒ„์ง€์—๊ฒŒ ์ฃผ๋Š” ์˜๋ฏธ์— ๋Œ€ํ•ด ์‹ฌ์ธต์ ์œผ๋กœ ์ดํ•ดํ•˜๊ณ ์ž ์‹œ๋„๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ฐ๊ตฌ์ž๊ฐ€ ์†ํ•œ ์„œ์šธ๋Œ€ํ•™๊ต ๊ฐ„ํ˜ธ๋Œ€ํ•™์˜ ์—ฐ๊ตฌ ๋Œ€์ƒ์ž ๋ณดํ˜ธ ์‹ฌ์˜์œ„์›ํšŒ์˜ ์‹ฌ์˜๋ฅผ ๋ฐ›์€ ํ›„ 2015๋…„ 2์›”๋ถ€ํ„ฐ 3์›”์— ๊ฑธ์ณ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ๊ด€๋ จ ์˜จ๋ผ์ธ ์ปค๋ฎค๋‹ˆํ‹ฐ 1๊ณณ์„ ํ†ตํ•ด ์ฐธ์—ฌ์ž๋ฅผ ์„ ์ •ํ•˜์˜€๊ณ  ์ž๋ฃŒ๊ฐ€ ํฌํ™” ๋  ๋•Œ๊นŒ์ง€ ์ž๋ฃŒ ์ˆ˜์ง‘์ด ์ง„ํ–‰๋˜์—ˆ๊ณ , ์ตœ์ข… 9๋ช…์ด ์„ ์ •๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฐธ์—ฌ์ž๋Š” 5์„ธ ์ดํ•˜์˜ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ž๋…€๋ฅผ ๋‘” ์•„๋ฒ„์ง€ 9๋ช…์œผ๋กœ 2015๋…„ 2์›” 1์ผ๋ถ€ํ„ฐ 3์›” 30์ผ๊นŒ์ง€ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๊ณ  ์ฃผ๋กœ ์ฐธ์—ฌ์ž์˜ ์ง์žฅ ๊ทผ์ฒ˜ ๋˜๋Š” ์ฐธ์—ฌ์ž์˜ ์ง‘์—์„œ ์‹ฌ์ธต๋ฉด๋‹ด์ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ๋ฉด๋‹ด์‹œ๊ฐ„์€ ํ‰๊ท  1์‹œ๊ฐ„ 30๋ถ„๊ฐ€๋Ÿ‰ ์ด๋ฃจ์–ด์กŒ๋‹ค. Braun & Clarke (2006)์˜ ์งˆ์  ์ฃผ์ œ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๊ณ  ์ด 72๊ฐœ์˜ ์ฝ”๋“œ ์ง„์ˆ ์€ ๋ณธ ์—ฐ๊ตฌ์ž์— ์˜ํ•ด ๋ถ„์„๊ณผ ํ•ด์„์ด ๋˜์–ด ๋‹ค์Œ์˜ 3๊ฐ€์ง€ ์ฃผ์ œ(themes)์™€ 9๊ฐœ์˜ ํ•˜์œ„์ฃผ์ œ(sub-themes)๋กœ ๋„์ถœ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋„์ถœ๋œ ์ฃผ์ œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ œ 1 ์ฃผ์ œ ์น˜๋ช…์ ์ธ ์‹ฌ์žฅ๋ณ‘์œผ๋กœ ์‹œ์ž‘๋œ ์ฐธ๋‹ดํ•œ ๊ณ ํ†ต์—์„œ๋Š” ์•„๋ฒ„์ง€๋Š” ์œ ๊ต๋ฌธํ™”๊ถŒ์˜ ์˜ํ–ฅ์œผ๋กœ ์ž์‹ ์ด ๋ฌด๋„ˆ์ง€๋ฉด ๊ฐ€์ • ๋˜ํ•œ ๋ฌด๋„ˆ์ง„๋‹ค๋Š” ์ƒ๊ฐ์ด ๋‚ด์žฌํ•˜์—ฌ ์ž์‹ ์˜ ์•ฝํ•œ ๋ชจ์Šต์ด๋‚˜ ํž˜๋“ค์–ดํ•˜๋Š” ๊ฐ์ • ํ‘œํ˜„์„ ๊บผ๋ฆฌ๋ฏ€๋กœ ๋“œ๋Ÿฌ๋‚ด์ง„ ์•Š์ง€๋งŒ, ์•„์ด์˜ ์‹ฌ์žฅ๋ณ‘์œผ๋กœ ์ธํ•ด ๊ดด๋กœ์›Œํ•˜๋Š” ๊ฒฝํ—˜์„ ๋‹ค๋ฃฌ๋‹ค. ํ•˜๋ถ€์ฃผ์ œ์ธ ์ฒญ์ฒœ๋ฒฝ๋ ฅ ๊ฐ™์€ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ง„๋‹จ๊ณผ ์ˆ˜์ˆ , ๋์—†์ด ์ด์–ด์ง€๋Š” ๊ฑฑ์ •: ์žฌ์ˆ˜์ˆ , ํ›„์œ ์ฆ, ๋˜์‚ด์•„๋‚œ ์šธ๋ฉด ์•ˆ ๋ผ ์˜ ์‹ ํ™”๋Š” ์ด๋Ÿฌํ•œ ์•„๋ฒ„์ง€์˜ ์‹ฌ๋ฆฌ์ ์ธ ๊ณ ํ†ต์˜ ์›์ธ๊ณผ ํŠน์„ฑ์„ ํ‘œํ˜„ํ•œ๋‹ค. ์ œ 2 ์ฃผ์ œ ์ฒœ์‹ ๋งŒ๊ณ (ๅƒ่พ›่ฌ่‹ฆ) ๋์— ์ž์•„ ์„ฑ์ฐฐ์—์„œ๋Š” ์•„์ด์˜ ์ถœ์‚ฐ ๊ฒฐ์ • ์ˆœ๊ฐ„๋ถ€ํ„ฐ ์‹œ์ž‘๋œ ์•„๋ฒ„์ง€์˜ ๋Œ€์ฒ˜ ๊ฒฝํ—˜์„ ๋‹ค๋ฃฌ๋‹ค. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€๋กœ ์‚ด์•„๊ฐ€๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ•„์—ฐ์ ์œผ๋กœ ์ƒํ™ฉ์„ ํ•ด๊ฒฐํ•˜์—ฌ์•ผ ํ•˜๋Š”๋ฐ, ์•„๋ฒ„์ง€๋“ค์€ ์‚ฌํšŒ์  ์ง€์ง€๋ฅผ ๊ฐˆ๊ตฌํ•˜๋ฉด์„œ ํ˜„์‹ค์„ ํ—ค์ณ๋‚˜๊ฐ€๋ ค๊ณ  ๋…ธ๋ ฅํ•˜์˜€๊ณ  ์—ฐ์†๋˜๋Š” ์ ˆ๋ง ์†์—์„œ ์ž์•„ ์„ฑ์ฐฐ์„ ํ†ตํ•ด ํ–‰๋ณต์˜ ๊ธฐ์ค€์„ ๋ฐ”๊พธ๊ณ  ์ฃผ์–ด์ง„ ์‚ถ์˜ ์˜๋ฏธ๋ฅผ ๋‹ค์‹œ ์ƒ๊ฐํ•˜๋Š” ๊ธฐํšŒ๋ฅผ ๊ฐ€์กŒ๋‹ค. ์ œ 3 ์ฃผ์ œ ๋ณ€ํ™”๋œ ์•„๋ฒ„์ง€์˜ ์‚ถ์—์„œ๋Š” ํ˜„์žฌ์˜ ์‚ถ์„ ์ˆ˜์šฉํ•˜๋ฉด์„œ ์•„์ด์˜ ์กด์žฌ ์ž์ฒด์— ์†Œ์ค‘ํ•จ์„ ๋Š๋ผ๊ณ  ์•„์ด์˜ ์„ฑ์žฅ ๊ณผ์ •์—์„œ ์–ป๋Š” ๊ธฐ์จ์„ ๊ฒฝํ—˜ํ•˜๋Š” ์•„๋ฒ„์ง€๋ฅผ ๋‹ค๋ฃฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ฐธ์—ฌ์ž๋“ค์€ ์น˜๋ช…์ ์ธ ์‹ฌ์žฅ๋ณ‘์„ ๊ฐ€์ง„ ์•„์ด์˜ ํƒ„์ƒ๊ณผ ํ•จ๊ป˜ ๋ถ€๋‹ด๊ฐ์ด ์ฆ๊ฐ€ํ•˜์—ฌ ์‹ฌ๋ฆฌ์ ์ธ ๊ณ ํ†ต์„ ๊ฒช์ง€๋งŒ ๋Œ€์ฒ˜ํ•˜๋Š” ๊ณผ์ •์„ ํ†ตํ•ด ์ฃผ์–ด์ง„ ์‚ถ์„ ์ˆ˜์šฉํ•˜๊ณ  ์•„์ด์˜ ์†Œ์ค‘ํ•จ๊ณผ ๊ธฐ์จ์„ ๊ฒฝํ—˜ํ•˜์˜€๋‹ค. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€์˜ ์‚ถ์€ ์—ฌ๋Ÿฌ ์ œํ•œ๊ณผ ๋ถˆ์•ˆ์ด ๋‚ด์žฌํ•˜์ง€๋งŒ ์•„๋ฒ„์ง€๋Š” ๋Œ€์ฒ˜๋ฅผ ํ†ตํ•ด ์ผ์ƒ์ ์ธ ์‚ถ์„ ์‚ด์•„๊ฐ€๊ณ  ์žˆ์—ˆ๋‹ค. ์ด ๊ณผ์ •์—์„œ ์•„๋ฒ„์ง€ ์—ญ์‹œ ์ƒ๋‹นํ•œ ์‹ฌ๋ฆฌ์ ์ธ ๊ณ ํ†ต์„ ๋ฐ›์•˜์œผ๋ฉฐ ์ฃผ๋ณ€์˜ ์œ„๋กœ์™€ ๋„์›€์„ ํ•„์š”๋กœ ํ•˜์˜€๋‹ค. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€๊ฐ€ ๋˜๋Š” ๊ณผ์ •์€ ์ •์ƒ ์•„๋™์˜ ์•„๋ฒ„์ง€ ๋˜๊ธฐ ๊ณผ์ •๊ณผ ํฐ ํ‹€์—์„œ๋Š” ํฌ๊ฒŒ ๋‹ค๋ฅด์ง€ ์•Š์•˜์ง€๋งŒ, ๋” ๋งŽ์€ ์‹ฌ๋ฆฌ์ ์ธ ๊ณ ํ†ต์„ ๊ฒช๊ณ  ๋” ๋งŽ์€ ๋Œ€์ฒ˜๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์ ์€ ๋‹ค๋ฅด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์•„๋ฒ„์ง€๋ฅผ ์•„๋™์˜ ํšŒ๋ณต๊ณผ์ •์— ํฌํ•จํ•˜๋Š” ๊ฐ€์กฑ์ค‘์‹ฌ ์ค‘์žฌ์˜ ๋ฐฉํ–ฅ์„ ๋ชจ์ƒ‰ํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ์•„๋ฒ„์ง€๋ฅผ ํ—ค์•„๋ฆฌ๊ณ  ์•„๋ฒ„์ง€๊ฐ€ ์•„๋™์˜ ๋Œ๋ด„์— ์ฐธ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ์—ฌ๊ฑด์ด ๋งˆ๋ จ๋œ๋‹ค๋ฉด ์•„๋ฒ„์ง€์˜ ๊ณ ํ†ต๊ณผ ๋Œ€์ฒ˜์— ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ฉฐ ์ด๊ฒƒ์€ ์ˆœํ™˜์ ์œผ๋กœ ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™์˜ ํ–‰๋ณต๊ฐ์—๋„ ๋„์›€์ด ๋  ๊ฒƒ์ด๋‹ค.Fathers role has gained attention with the advent of modern society because of the increase of dual income family and the importance of the father's role. But sudden diagnosis of a severe congenital heart disease of a child gives parents psychological, physical and economic difficulties and as the child's surgery accompanies the risk of re-surgery and after-effects, it places long term burden for the parents, which is serious since it lowers the role-playing ability of a father. However, since distress of father is not easily revealed in reality due to masculinities to maintain sense of control and influence of confucian conventions of society of Korea. So It is easy to overlook the role of a father as our nursing client and caregiver for a child. This study aims to explore and more fully understand the fathering experience of young children with severe congenital heart disease in the process of growth from the birth of the child and on what meaning this experience to the father and what changes to the father. After obtaining the approval of the Seoul National University Human Subjects Review Board, data were gathered from February to March 2015. For recruiting the participants, one online communities related to congenital heart disease were used. Sampling continued until data saturation was reached and finally 9 subjects were involved. Interviews were audio-recorded digitally and transcribed verbatim. Participants of this study were 9 fathers with children under age 5 who underwent heart surgery within recent 5 years. Duration of interviews lasted 1 and a half hour on average. Using the thematic analysis method of Braun and Clarke, a total of 72 code statements were analyzed and interpreted by the author of this study and following 3 themes and 9 sub-themes were drawn out. The 3 themes were (1) Heart-breaking suffering from severe congenital heart disease (2) Self-reflection after a great struggle (3) A changed life of a father. The core result of this study on fathering experience was that although paternal responsibility and burden increase with the birth of the child with severe congenital heart disease and parents suffer from predicaments during fight against disease and in course of the child's growth, parents come to accept given life through the course of coping and experience the value of the child's existence itself and the joy of growth process of the child. In this process, although father's suffering can be overlooked because a father of a child with severe congenital heart disease suppresses his own emotions, the father also suffers from considerable psychological distress and thus needs help as well. In coping with that situation, a father uses many coping strategies. Even though the fathering of young child with severe congenital heart disease is not very different from that of general fathers, the father is different in that he suffers from more psychological distress and uses more coping than general fathers do. This study explored fathering experience of young children with severe congenital heart diseases including paternal distress, coping strategies, changing role and lives of the fathers from the birth of children through the process of growth. These findings will help seek out directions of family centered care which involves fathers in the process of children's caring and nurturing. Meanwhile, this study also suggests that more attention should be paid to the support for the mental health of the fathers of children with severe congenital heart diseases. More than anything else, the study pointed out that medical staff should involve fathers in the treatment of the children with positive attitude. Understanding fathers and preparing conditions in which fathers can actively participate will help cope with pains fathers suffer, which in turn help enhance the sense of happiness growing children experience.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 โ…ก. ๋ฌธํ—Œ๊ณ ์ฐฐ 5 1. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ 5 2. ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ๋ถ€๋ชจ์˜ ๊ฒฝํ—˜ 8 3. ๋‚จ์„ฑ์„ฑ(masculinities) 11 โ…ข. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 12 1. ์—ฐ๊ตฌ์„ค๊ณ„ 12 2. ์—ฐ๊ตฌ๋Œ€์ƒ 12 3. ์ž๋ฃŒ์ˆ˜์ง‘์ ˆ์ฐจ 14 4. ์ž๋ฃŒ๋ถ„์„ 16 5. ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์งˆ ํ™•๋ณด 18 โ…ฃ. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 19 1. ์ œ 1 ์ฃผ์ œ: ์น˜๋ช…์ ์ธ ์‹ฌ์žฅ๋ณ‘์œผ๋กœ ์‹œ์ž‘๋œ ์ฐธ๋‹ดํ•œ ๊ณ ํ†ต 24 1) ์ฒญ์ฒœ๋ฒฝ๋ ฅ ๊ฐ™์€ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ง„๋‹จ๊ณผ ์ˆ˜์ˆ  24 (1) ์—„์ฒญ๋‚œ ์ถฉ๊ฒฉ 24 (2) ํ•˜์—ผ์—†์ด ์Šฌํ”” 25 (3) ์•„์ด์˜ ์ฃฝ์Œ์— ๋Œ€ํ•œ ๊ณตํฌ 25 (4) ์ฃ„์ฑ…๊ฐ๊ณผ ๋ฏธ์•ˆํ•จ 26 (5) ์ถœ์‚ฐ์„ ํƒ์— ๋Œ€ํ•œ ๊ณ ๋ฏผ๊ณผ ์–‘๊ฐ€๊ฐ์ • 26 (6) ์‹ฌ์žฅ๋ณ‘์— ๋Œ€ํ•œ ์ •๋ณด ๋ถ€์กฑ 27 2) ๋์—†์ด ์ด์–ด์ง€๋Š” ๊ฑฑ์ •: ์žฌ์ˆ˜์ˆ , ํ›„์œ ์ฆ 28 3) ๋˜์‚ด์•„๋‚œ ์šธ๋ฉด ์•ˆ ๋ผ ์˜ ์‹ ํ™” 29 2. ์ œ 2 ์ฃผ์ œ: ์ฒœ์‹ ๋งŒ๊ณ (ๅƒ่พ›่ฌ่‹ฆ) ๋์— ์ž์•„ ์„ฑ์ฐฐ 32 1) ํ˜„์‹ค์„ ํ—ค์ณ๋‚˜๊ฐ€๋ ค๋Š” ๋…ธ๋ ฅ 32 2) ์‚ฌํšŒ์  ์ง€์ง€๋ฅผ ๊ฐˆ๊ตฌํ•จ 34 3) ์ ˆ๋ง ์†์— ์ฐพ์€ ์˜๋ฏธ 36 3. ์ œ 3 ์ฃผ์ œ: ๋ณ€ํ™”๋œ ์•„๋ฒ„์ง€์˜ ์‚ถ 38 1) ์ผ์ƒ์ด ๋œ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€์˜ ์‚ถ 38 2) ์กด์žฌ ์ž์ฒด๊ฐ€ ์†Œ์ค‘ํ•œ ๋‚ด ์ž์‹ 39 3) ์•„์ด์˜ ์ž‘์€ ์ง„์ „์ด ์ฃผ๋Š” ๊ธฐ์จ 39 โ…ค. ๋…ผ์˜ 41 1. ์ค‘์ฆ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์•„๋™ ์•„๋ฒ„์ง€์˜ ๊ฒฝํ—˜์— ๋Œ€ํ•œ ๊ณ ์ฐฐ 41 2. ์—ฐ๊ตฌ์˜ ์ œํ•œ์  49 3. ๊ฐ„ํ˜ธํ•™์  ์˜์˜ 50 โ…ฅ. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 51 1. ๊ฒฐ๋ก  51 2. ์ œ์–ธ 52 ์ฐธ๊ณ ๋ฌธํ—Œ 53 ๋ถ€๋ก 63 Abstract 71Maste

    Effects of an online health management program for adolescents with complex congenital heart disease during their transition to adulthood

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ฐ„ํ˜ธ๋Œ€ํ•™ ๊ฐ„ํ˜ธํ•™๊ณผ, 2022. 8. ์ฑ„์„ ๋ฏธ.With advances in diagnosis and treatment, the survival rate of congenital heart disease (CHD) patients to adulthood has steadily increased. Patients with complex CHD are prone to suffer from complications later in life. To improve the quality of life and health of adults with complex CHD, it is important for adolescents with complex CHD to learn health knowledge and self-management skills for their own health during the transition period to adulthood. The purpose of this study was to develop an online health management program for adolescents with complex CHD and to evaluate its effects on self-efficacy, health behavior, and health-related quality of life. Adolescents with complex CHD aged 12-19 years were recruited from June 2021 to January 2022 through one hospital and one online community. A randomized controlled trial design was used. Among the 28 adolescents, 14 were allocated to the experimental group and 14 were allocated to the control group. The intervention group received an online health management program developed based on self-efficacy theory. The contents of the intervention included disease knowledge, lifestyle management (physical activity, eating behavior, sleep behavior), as well as emotional and vocational domains for managing the transition to adulthood. The program comprised 4 online group education sessions (60 minutes each), 1:1 telecoaching, dietary diary feedback, and health information uploads via Facebook, delivered over 4 weeks. The control group received only the usual care. Data were collected from August 2021 to March 2022 using a questionnaire and an ActiGraph accelerometer. Program satisfaction was assessed after the intervention. The collected data were analyzed using descriptive statistics, the chi-square test, Fisher's exact test, the independent t-test, and generalized estimating equations using SPSS version 25. The average age of the participants was 15.29 years old, and 16 were male and 12 were female. The intervention group showed a significant improvement in health self-efficacy (p=.003) and psychosocial impact (p=.013). In the analysis of health behavior, the intervention group showed significant increases in daily step counts (p=.011) and moderate to vigorous-intensity physical activity (MVPA) (p=.027), as well as decreased weekday sedentary behavior (p=.042), weekend leisure time sedentary behavior (p=.035), and convenience food consumption (odds ratio [OR] 9.17, 95% confidence interval [CI] 1.64 to 51.26). However, sleep behavior (p=.507) was not significantly different between groups. In a content analysis of program satisfaction, more than half of the participants answered that it was helpful to learn information about how to keep their hearts healthy, and to plan and practice diet and exercise themselves through the program. The online health management program for adolescents with complex CHD had significant effects on self-efficacy, health behavior and psychosocial impact. This program can be usefully applied in communities, and it can be used as a basis for education and clinical trials related to the self-management of adolescents with complex CHD for a healthy transition to adulthood.์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ง„๋‹จ ๋ฐ ์น˜๋ฃŒ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์œผ๋กœ ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ํ™˜์ž์˜ ์„ฑ์ธ๊ธฐ ์ƒ์กด์œจ์ด ๊พธ์ค€ํžˆ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ํ™˜์ž๋Š” ์ƒ์•  ํ›„๊ธฐ์— ๋” ๋งŽ์€ ํ•ฉ๋ณ‘์ฆ ๊ฒช์„ ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ •๊ธฐ์ ์ธ ๋ณ‘์›์ง„๋ฃŒ๋ฅผ ๋ฐ›์•„์•ผ ํ•˜๋ฉฐ ๊ฑด๊ฐ•ํ•œ ์ƒํ™œ์Šต๊ด€ ๊ด€๋ฆฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ํ™˜์ž์˜ ์žฅ๊ธฐ์ ์ธ ๊ฑด๊ฐ• ๋ฐ ์‚ถ์˜ ์งˆ์„ ํ–ฅ์ƒํ•˜๋ ค๋ฉด ์„ฑ์ธ๊ธฐ๋กœ์˜ ์ดํ–‰ ์‹œ๊ธฐ์— ์ž์‹ ์˜ ๊ฑด๊ฐ•์— ๋Œ€ํ•ด ๋ฐฐ์šฐ๊ณ  ๊ด€๋ฆฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋ฐฐ์šฐ๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„์˜ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ๋Šฅ๋ ฅ์˜ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์˜จ๋ผ์ธ ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ ์šฉํ•˜์—ฌ ์ž๊ธฐํšจ๋Šฅ๊ฐ, ๊ฑด๊ฐ•ํ–‰์œ„, ๊ฑด๊ฐ•๊ด€๋ จ ์‚ถ์˜ ์งˆ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ณ ์ž ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋ณธ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์€ Bandura์˜ ์ž๊ธฐํšจ๋Šฅ๊ฐ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ADDIE ๋ชจํ˜•์— ๋”ฐ๋ผ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ํ”„๋กœ๊ทธ๋žจ์˜ ํšจ๊ณผ ํ‰๊ฐ€๋ฅผ ์œ„ํ•˜์—ฌ ๋ฌด์ž‘์œ„ ๋Œ€์กฐ๊ตฐ ์ „ํ›„ ์‹คํ—˜์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์ฐธ์—ฌ์ž๋Š” ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘์„ ์ง„๋‹จ๋ฐ›์€ ๋งŒ 12โ€“19์„ธ ์ฒญ์†Œ๋…„์ด๋ฉฐ, ์‹คํ—˜๊ตฐ 14๋ช…, ๋Œ€์กฐ๊ตฐ 14๋ช…์œผ๋กœ ์ด 28๋ช…์ด๋‹ค. ์—ฐ๊ตฌ ๊ธฐ๊ฐ„ ๋™์•ˆ ์‹คํ—˜๊ตฐ ์ฒญ์†Œ๋…„์—๊ฒŒ๋Š” ์šด๋™, ์‹์ด, ์ˆ˜๋ฉด, ์‹ฌ๋ฆฌ, ์ง์—…ํƒ์ƒ‰์„ ํฌํ•จํ•œ ์˜จ๋ผ์ธ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์ด 4์ฃผ๊ฐ„ ์ œ๊ณต๋˜์—ˆ๋‹ค. ์„ฑ์ธ์ดํ–‰๊ธฐ ์˜จ๋ผ์ธ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์€ ์˜จ๋ผ์ธ ๊ทธ๋ฃน ๊ต์œก(์ด 4ํšŒ, ๋งค 60๋ถ„), ๊ฐœ๋ณ„์ „ํ™”์ฝ”์นญ(์ด 4ํšŒ, ๋งค 10-20๋ถ„), ๋งค์ฃผ ํŽ˜์ด์Šค๋ถ์„ ํ†ตํ•œ ๊ต์œก์ž๋ฃŒ ์ œ๊ณต, ๊ฑด๊ฐ•์ˆ˜์ฒฉ ๊ธฐ๋ก ๋ฐ ์‹์ดํ”ผ๋“œ๋ฐฑ์œผ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ๋Œ€์กฐ๊ตฐ์€ ๋ณ„๋„์˜ ์ค‘์žฌ๊ฐ€ ์ œ๊ณต๋˜์ง€ ์•Š์•˜๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘ ๊ธฐ๊ฐ„์€ 2021๋…„ 8์›”~2022๋…„ 3์›”์ด๋ฉฐ, ์ž๋ฃŒ๋Š” ํ”„๋กœ๊ทธ๋žจ ์ฐธ์—ฌ ์ „, ํ”„๋กœ๊ทธ๋žจ ์ข…๋ฃŒ ์งํ›„์™€ ์ข…๋ฃŒ 4์ฃผ ํ›„์— ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐฉ๋ฒ•์€ ์ž๊ฐ€๋ณด๊ณ  ์„ค๋ฌธ๊ณผ ์•กํ‹ฐ๊ทธ๋ž˜ํ”„(ActiGraph wGT3X-BT)๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ์˜ ๋ถ„์„์€ SPSS 25 ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์„œ์ˆ ์  ํ†ต๊ณ„, chi-square test, Fisher's exact test, independent t-test, generalized estimating equations์œผ๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ํ”„๋กœ๊ทธ๋žจ ๋งŒ์กฑ๋„๋Š” ๋‚ด์šฉ๋ถ„์„ ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฐธ๊ฐ€์ž๋“ค์˜ ํ‰๊ท  ์—ฐ๋ น์€ 15.29์„ธ์˜€์œผ๋ฉฐ, ๋‚จ์ž๊ฐ€ 16๋ช…, ์—ฌ์ž๊ฐ€ 12๋ช…์ด์—ˆ๋‹ค. ์„ฑ์ธ์ดํ–‰๊ธฐ ์˜จ๋ผ์ธ ๊ฑด๊ฐ•๊ต์œก ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณตํ•œ ํ›„ ์‹คํ—˜๊ตฐ์—์„œ ๋Œ€์กฐ๊ตฐ ์ฐธ์—ฌ์ž์— ๋น„ํ•ด ๊ฑด๊ฐ• ๊ด€๋ฆฌ ์ž๊ธฐํšจ๋Šฅ๊ฐ(p=.003), ์‹ฌ๋ฆฌ์‚ฌํšŒ์ ์ธ ์˜ํ–ฅ(p=.013) ์ ์ˆ˜์˜ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋ณ€ํ™”๋Ÿ‰์— ์œ ์˜ํ•œ ์ฆ๊ฐ€๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ฑด๊ฐ•ํ–‰์œ„์—์„œ๋Š” ์‹คํ—˜๊ตฐ์—์„œ ๋Œ€์กฐ๊ตฐ ์ฐธ์—ฌ์ž์— ๋น„ํ•ด ์ผ์ผํ‰๊ท  ๊ฑธ์Œ์ˆ˜(p=.011), ์ค‘-๊ณ ๊ฐ•๋„ ์‹ ์ฒดํ™œ๋™(MVPA)(p=.027)์˜ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋ณ€ํ™”๋Ÿ‰์— ์œ ์˜ํ•œ ์ฆ๊ฐ€๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ, ์ฃผ์ค‘ํ‰๊ท (p=.042) ๋ฐ ์ฃผ๋ง์—ฌ๊ฐ€๋ชฉ์  ์ขŒ์‹ ์‹œ๊ฐ„(p=.035), ํŽธ์˜์‹ํ’ˆ์˜ ์„ญ์ทจ(OR=9.17, 95% CI: 1.64~51.26)์—์„œ ์œ ์˜ํ•œ ๊ฐ์†Œ๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ˆ˜๋ฉดํ–‰๋™์—์„œ๋Š” ๊ทธ๋ฃน๊ณผ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋ณ€ํ™”๋Ÿ‰์— ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ํ”„๋กœ๊ทธ๋žจ ๋งŒ์กฑ๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, ์ฐธ์—ฌ์ž๋“ค์€ ๊ฑด๊ฐ•์— ๋Œ€ํ•œ ์ง€์‹์„ ๋ฐฐ์šด ๊ฒƒ๊ณผ ์ผ์ƒ์ƒํ™œ ์†์—์„œ ๊ฑด๊ฐ•๊ด€๋ฆฌ ๋ชฉํ‘œ๋ฅผ ์„ธ์šฐ๊ณ  ์‹ค์ฒœํ•ด ๋ณธ ๊ฒƒ์ด ๋„์›€์ด ๋˜์—ˆ๋‹ค๊ณ  ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ๊ณตํ•œ ์˜จ๋ผ์ธ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์ด ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„์˜ ๊ฑด๊ฐ•๊ด€๋ฆฌ ์ž๊ธฐํšจ๋Šฅ๊ฐ, ๊ฑด๊ฐ•ํ–‰์œ„, ์‹ฌ๋ฆฌ์‚ฌํšŒ์ ์ธ ์˜ํ–ฅ์— ๋„์›€์ด ๋˜๋Š” ์ค‘์žฌ์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ํ”„๋กœ๊ทธ๋žจ์€ ๋ณต์žก ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„์˜ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ• ๊ต์œก๊ณผ ์ž„์ƒ์—ฐ๊ตฌ์— ๊ธฐ์ดˆ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.โ… . ์„œ ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 3. ์šฉ์–ด ์ •์˜ 5 โ…ก. ๋ฌธํ—Œ๊ณ ์ฐฐ 8 1. ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„์˜ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ด€๋ฆฌ 8 1) ์งˆ๋ณ‘์— ๋Œ€ํ•œ ์ง€์‹ 8 2) ์ƒํ™œ์Šต๊ด€ ๊ด€๋ฆฌ 9 3) ์‹ฌ๋ฆฌ์‚ฌํšŒ์ ์ธ ๋ฌธ์ œ 12 4) ์ ํ•ฉํ•œ ์ง์—… ํƒ์ƒ‰ 13 2. ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„ ๋Œ€์ƒ ์„ฑ์ธ์ดํ–‰๊ธฐ ํ”„๋กœ๊ทธ๋žจ 14 3. ์„ ์ฒœ์„ฑ ์‹ฌ์žฅ๋ณ‘ ์ฒญ์†Œ๋…„ ๋Œ€์ƒ ๊ฑด๊ฐ• ๊ด€๋ จ ํ”„๋กœ๊ทธ๋žจ 18 โ…ข. ๊ฐœ๋…์  ๊ธฐํ‹€ ๋ฐ ์—ฐ๊ตฌ๊ฐ€์„ค 23 1. ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๊ธฐํ‹€ 23 2. ์—ฐ๊ตฌ๊ฐ€์„ค 26 โ…ฃ. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 27 1. ์˜จ๋ผ์ธ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ 27 2. ์˜จ๋ผ์ธ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ ํ‰๊ฐ€ 41 โ…ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 51 โ…ฅ. ๋…ผ ์˜ 80 1. ์˜จ๋ผ์ธ ์„ฑ์ธ์ดํ–‰๊ธฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์˜ ํšจ๊ณผ 80 2. ์—ฐ๊ตฌ์˜ ์˜์˜ 87 3. ์—ฐ๊ตฌ์˜ ์ œํ•œ์  89 โ…ฆ. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 90 1. ๊ฒฐ ๋ก  90 2. ์ œ ์–ธ 91 ์ฐธ๊ณ ๋ฌธํ—Œ 92 ๋ถ€๋ก 107 Abstract 120๋ฐ•

    ์‹œ์Šคํ…œ ์ƒ๋ฌผ ์ •๋ณดํ•™์„ ์ด์šฉํ•œ ๊ตฌ๊ฐ•์งˆํ™˜ ํ™˜์ž์˜ ์œ ์ „์ž ๋ณ€์ด ๋ถ„์„

    No full text
    DoctorOral diseases are a frequently occurring disease linked to multi-factorial traits with various environmental and genetic causalities and no known concrete pathogenesis. Hereditary gingival fibromatosis (HGF) is one of the oral disease affected by genetic factors. Peri-implantitis is one of the famous gum diseases. The varying severity of Peri-implantitis among patients with relatively similar environments suggests a genetic aspect which needs to be investigated to understand and regulate the pathogenesis of the disease. BP-related osteonecrosis of jaw (BRONJ), one of the complications linked to the consumption of BP, greatly affects patients with minor dental trauma, incurring a long healing period. Our study aims to identify genetic variants associated with oral diseases by applying whole-exome sequencing (WES) and bioinformatics analyses such as gene set enrichment analysis and protein functional association network study. For this study, patients and unrelated individuals had relatively healthy lifestyles, with minimal environmental causalities affecting oral diseases were chosen for genome sequencing. Fisherโ€™s exact test was carried out to assess the significance of genetic variants in oral disease patients group. Gene set enrichment analysis and functional association analysis among genetically altered genes were used to reveal related functions. The results from this study suggest that each oral diseases are genetically associated molecular functions

    Systematic bioinformatics analysis of the functional diversity of plasma membrane proteins

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    MasterCells can respond to environment by sensing and translating extracellular signals to stimulate internal responses that lead to changes in gene expression and phenotypic alterations. Plasma membrane proteins accept and transmit a variety of extracellular signals so that structural diversity is necessary to achieve functional diversity. However, plasma membrane proteins happen to fall into fewer families and folds compared to soluble proteins and how such functional diversity was achieved for plasma membrane proteins is need to be understood. Here, we investigated the interplay among subcellular localizations, tissue specific expression and protein-protein interaction network and found that dynamic rewiring of protein-protein interactions is the key process to obtain the functional diversity of the plasma membrane proteins. To reveal this, we analyzed 11,043 human transcripts across 79 different tissues. Plasma membrane proteins were found to be co-expressed with their interacting partners in a fewer number of tissues than other subcellular localizations and their partners were different in each tissues. Moreover, we measured diversity of function of partners for each protein and found that partners of plasma membrane proteins have different function annotation, which perform different function if their partners are changed by expression regulation. Our result suggest that alternative expressions of interacting partners could lead to rewire protein-protein interactions under different tissue conditions, which would provide the key mechanism to achieve functional diversity for adapting to tissue specific environment

    ์‹œ์Šคํ…œ ์ƒ๋ฌผ ์ •๋ณดํ•™์„ ์ด์šฉํ•œ ๊ตฌ๊ฐ•์งˆํ™˜ ํ™˜์ž์˜ ์œ ์ „์ž ๋ณ€์ด ๋ถ„์„

    No full text
    DoctorOral diseases are a frequently occurring disease linked to multi-factorial traits with various environmental and genetic causalities and no known concrete pathogenesis. Hereditary gingival fibromatosis (HGF) is one of the oral disease affected by genetic factors. Peri-implantitis is one of the famous gum diseases. The varying severity of Peri-implantitis among patients with relatively similar environments suggests a genetic aspect which needs to be investigated to understand and regulate the pathogenesis of the disease. BP-related osteonecrosis of jaw (BRONJ), one of the complications linked to the consumption of BP, greatly affects patients with minor dental trauma, incurring a long healing period. Our study aims to identify genetic variants associated with oral diseases by applying whole-exome sequencing (WES) and bioinformatics analyses such as gene set enrichment analysis and protein functional association network study. For this study, patients and unrelated individuals had relatively healthy lifestyles, with minimal environmental causalities affecting oral diseases were chosen for genome sequencing. Fisherโ€™s exact test was carried out to assess the significance of genetic variants in oral disease patients group. Gene set enrichment analysis and functional association analysis among genetically altered genes were used to reveal related functions. The results from this study suggest that each oral diseases are genetically associated molecular functions
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