• Title/Summary/Keyword: hierarchical regression

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Factors Associated with Mental Health-related Quality of Life in Workers (사업장 근로자의 정신건강 관련 삶의 질 영향요인)

  • Lee, Young Joo;Noh, Gyeongmin
    • Korean Journal of Occupational Health Nursing
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    • v.29 no.3
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    • pp.173-183
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    • 2020
  • Purpose: The purpose of this study was to identify factors associated with the mental health-related quality of life (MHQoL) of Korean workers. Methods: This was a cross-sectional study of 192 Korean pay workers who worked in the Daegu and Gyeongbuk Province, Korea. Data were collected from May 15 to July 2, 2019, through selfreported questionnaires. The survey had a total of 87 questions including individual, organizational, and psychosocial factors. MHQoL was measured using short form-36 version 1. Data were divided into four domains of MHQoL and analyzed using a hierarchical linear regression model. Results: From the hierarchical linear regression analysis, when the psychosocial factors were included in the regression model, the R2 change in the four domains of MHQoL increased significantly by 19~47%. A common predicting factor associated with the four domains of MHQoL was identified as perceived stress symptoms. Other factors affecting MHQoL showed slight differences in each domain. Conclusion: Based on the study results, it is necessary to monitor the psychosocial symptoms to improve MHQoL of Korean workers. Considering each factor affecting the four areas of MHQoL, workplace-based interventions to improve MHQoL should be provided to workers.

The Effect of Self-esteem and Social Withdrawal on Aggression in Early Adolescents with Delinquent Behavior (비행경험 초기 청소년의 자아존중감과 사회적 위축이 공격성에 미치는 영향)

  • Kim, Min Seo;Jun, Soo Young;Cho, Yeon Su;Jone, Hoon Jung
    • Journal of the Korean Society of School Health
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    • v.31 no.1
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    • pp.1-9
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    • 2018
  • Purpose: This study was conducted to explore the relationship between aggression, self-esteem, and social withdrawal. Methods: This research is a cross-sectional survey. This study used the 5th-year data of the Korean Children & Youth Panel Survey (KCYPS) including 218 middle school students having delinquent behavior. The collected data was analyzed through $x^2$ test, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression, using SPSS/Win (ver. 23.0). Results: Significant positive correlations were found between aggression and social withdrawal and between aggression and self-esteem. Higher aggression was associated with higher social withdrawal and lower self-esteem. The results of the 2-step regression are as follows. Aggression was negatively correlated with self-esteem, whereas self-esteem was positively correlated with social withdrawals. The hierarchical multiple regression showed that 21% of the variance of aggression was significantly accounted for by self-esteem and social withdrawal. The most significant factor influencing aggression was social withdrawal. Conclusion: These results suggest that earlier screening and intervention programs to increase self-esteem and decrease social withdrawal for early adolescents should be developed to prevent aggression.

An Ecological Systemic Approach on the Wife Abuse (아내학대에 대한 생태체계적 접근)

  • 김정란;김경신
    • Journal of Families and Better Life
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    • v.21 no.2
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    • pp.87-101
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    • 2003
  • The purposes of this study were to analyze causes of wife abuse through married couples as the research subject. The study employed ecological perspective to the study of wife abuse as an multiple dimensional and integrated paradigm combined with isolated theories of other research. The subjects were 369 married couples who live in Gwangju area. Data were analyzed with Cronbach'α, factor analysis, basic statistics, paired-t test, 1-test, ANOVA, Duncan's test, correlation analysis, stepwise multiple regression analysis. and hierarchical regression analysis using the SPSS 10.0 for windows. The major findings were as follows; 1. The psychological abuse score, physical abuse score, and sexual abuse score were lower than median without exception. Hut prevalence rates of wife abuse were considerably serious; 91.9% psychological abuse, 44.4% physical abuse, and 53.7% sexual abuse. 2. The results of the hierarchical regression analysis indicated that the marital conflict had the strongest impact on wife abuse. And the attitude toward wife abuse of husband, hostility of husband, exposure experience of domestic violence during a growth period of husband, perception toward social violence of husband, exposure experience of domestic violence during a growth period of wife, drinking problem of husband, and interpersonal relationships stress of husband had influenced on wife abuse. These variables accounted for 49.5% of variance of wife abuse behaviors. As the result of the study, it concludes that the ecological systemic approach on the cause of wife abuse is useful as a theoretical instrument. Suggestions and implications are made for further research and practical application.

Factors Affecting Health-related Quality of Life on Korean Blue-collar Workers (한국 생산직 근로자의 건강 관련 삶의 질 영향요인)

  • Hwang, Won-Ju;Park, Yunhee
    • Korean Journal of Occupational Health Nursing
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    • v.24 no.2
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    • pp.94-102
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    • 2015
  • Purpose: The purpose of this study was to investigate Korean blue-collar workers' Health-related Quality of Life (HRQoL) and influencing factors in Korean blue-collar workers. Methods: Participants in this study were 109 Korean blue-collar workers. The survey included health-related, work-related, and psycho-social factors. SF-36 was used to measure HRQoL. The data were analyzed using Pearson's correlation, and hierarchical multiple regression analysis. Results: In the hierarchical linear regression model, when subjects' psycho-social variables were included in the regression model, $R^2$ change was statistically significant. The significant predictors for HRQoL were education level (${\beta}=.26$, p=.023), depression (${\beta}=-.38$, p<.001), and self-efficacy (${\beta}=.23$, p<.001). Conclusion: The results of this study indicate that health care providers must have priority to consider psycho-social variables, especially depression and self-efficacy to improve HRQoL in Korean blue-collar workers.

Analyzing records of Korean pro-basketball using general linear model (일반선형모형을 적용한 한국남자프로농구 경기기록분석 : 2014-2015 정규리그)

  • Kim, Sae Hyung
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.4
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    • pp.957-970
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    • 2015
  • The purpose of this study was to analyze records of Korean pro-basketball using general linear model (two-way ANOVA and hierarchical multiple regression analysis). Korea Basketball League (KBL) informed the records (2014-2015 season) of this study. The eight variables (TA, 2PA, 3PA, 2P, 3P, Ast, TFB, CH) were selected in content validity. SPSS program was used to analyze general linear model. All alpha level was set at 0.05. Major results were as follow. 3PA had significant interaction effect between victory & defeat variable and home & away variable. Victory teams showed that 3PA was higher in home games than away games, and defeat teams was the other. 2PA, AS, TFB, and CH were selected significant variables affecting victory and defeat. In result of hierarchical regression, Ast had significant moderation effect between 3PA and TS. TFB also had significant moderation effect between AS between 2P. The other construct (Ast between 2PA and TS; TFB between AS between 3P) had no significant moderation effect. In the effect of 2PA, 3PA and Ast to TS, CH also had no significant moderation effect.

Power Prediction of Mobile Processors based on Statistical Analysis of Performance Monitoring Events (성능 모니터링 이벤트들의 통계적 분석에 기반한 모바일 프로세서의 전력 예측)

  • Yun, Hee-Sung;Lee, Sang-Jeong
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.7
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    • pp.469-477
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    • 2009
  • In mobile systems, energy efficiency is critical to extend battery life. Therefore, power consumption should be taken into account to develop software in addition to performance, Efficient software design in power and performance is possible if accurate power prediction is accomplished during the execution of software, In this paper, power estimation model is developed using statistical analysis, The proposed model analyzes processor behavior Quantitatively using the data of performance monitoring events and power consumption collected by executing various benchmark programs, And then representative hardware events on power consumption are selected using hierarchical clustering, The power prediction model is established by regression analysis in which the selected events are independent variables and power is a response variable, The proposed model is applied to a PXA320 mobile processor based on Intel XScale architecture and shows average estimation error within 4% of the actual measured power consumption of the processor.

Adults'self-reported of dry mouth and it's associated impact factors (일부 성인의 주관적 구강건조증에 영향을 미치는 요인)

  • Park, Hee-Jung;Shim, Youn-Soo
    • Journal of Korean society of Dental Hygiene
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    • v.12 no.5
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    • pp.973-985
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    • 2012
  • Objectives : The aim of this study is to investigate the possible impact factors on adults' self-reports of dry mouth and to develop strategies to improve oral health education policy. Methods : This study was conducted on a total of 622 self-administered questionnaires adult above 20 and under 65 years of age living in Seoul and Gyeonggi provinces. The final participants consisted of 443 adults without chronic illness, taking medications and wearing dentures. The Hierarchical Multiple Regression model with three stages was used to assess the association for exposure of interest, such as socio-demographics, health-related behavior, mental health and self-reported of dry mouth. Results : The participants reported mean score of dry mouth($6.32{\pm}4.47$), of which 191 were male($6.81{\pm}4.56$) and 252 were female($5.94{\pm}4.37$). Hierarchical Multiple Regression revealed that the score of dry mouth was shown to be significantly higher for the following people: Males, who were employed, unemployed, negative self-perceived general health, perceived stress, and participants who had no experience awareness of distress in two weeks. The explanatory power was 21.9%. The most powerful impact factor regarding to employment was shown to be negatively associated to dry mouth, and self-perceived general health, experiencing awareness of distressful in two weeks was also important factors. Conclusions : Based on these results in order to develop oral health education policy strategies for the prevention and management of dry mouth, there need to be considered for the employee.

Convergence Relationship between Self-Esteem and Obesity Stress among Women in Korea (한국여성의 자아존중감과 비만스트레스와의 융복합적 관계에 관한 연구)

  • Park, Eun-Hee;Park, Hae-Ryoung
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.479-487
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    • 2015
  • The purpose of this study was to examine the factors affecting Obesity-Stress among women in their twenties. The research design for this study was a descriptive survey design using a convenience sampling. Data collection was done using self-report questionnaires with 216 women located in M city. Pearson correlation coefficients and Hierarchical multiple regression with the SPSS Win 18.0 Program were used to analyze the data. In the hierarchical multiple regression analysis, Perceived body shape and BMI significantly predicted. A result of examining the correlation between stress and obesity Stress and the variables, Appearance Orientation,(r=.386, p=<.001) Self-Esteem(r=.324, p=<.001) Body Evaluation(r=-453, p=<.001), Body Appearance Satisfaction(r=-.560, p=<.001). hierarchical multiple regression step 3 shows that variables explained 54.1%. As a result on the basis of, This will require a variety of training programs provided in order to reduce obesity stress.

The Effects of School Climate on Peer Victimization for Junior High School Students (학교분위기가 중학생의 또래폭력 피해경험에 미치는 영향)

  • Kim, Eun-Young
    • Journal of the Korean Society of Child Welfare
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    • no.26
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    • pp.87-111
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    • 2008
  • The purpose of this study is to evaluate the actual conditions of peer victimization and to examine how the various factors of school climate influence peer victimization. Analysis on the relationship between various school climate and peer victimization has not been yet dealt with in Korea. Participants in this study were middle school students chosen from 11 middle schools in Seoul, by convenience sampling. A total of 1,204 surveys were then analyzed. Methods for analysis included Frequencies, Descriptives, Pearson's Correlation, Hierarchical Regression. From the result of the analysis, the level of verbal violence came out to be a relatively high form of peer victimization. The hierarchical regression were conducted in two steps. The second model's descriptive variable was higher by 19.6% than the first model. The variables of interaction between teacher and student in peer violence(${\beta}=.130$), of school facility maintenance(${\beta}=.067$), of safety of school environment(${\beta}=.331$), and economic status and sex out of controlled variables were proved to be of significance, and those variables explained 23.0% of the entire model. Based on the results of this study, practical and effective policy solutions to improve the school climate better have been suggested.

Factors Influencing Suicidal ideation among Korean University Students

  • Kim, Inhong;Park, Younghee
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.151-160
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    • 2019
  • Korea has the highest suicide rate among the OECD countries, and the suicide rate is highest among young adults in their 20s, most of whom are university students. Therefore, suicide among Korean university students is a public health issue that is of interest to us. The purpose of this study is to investigate the factors affecting the suicidal ideation of university students in Korea, and to use them as a basis to establish effective intervention for university suicide prevention through it. This was a cross-sectional descriptive study using convenience sampling method. The participants were 344 university students at universities in S and G cities. Data were collected with a structured questionnaire and analyzed using descriptive analysis, t-test, ANOVA, Pearson correlation coefficients, and hierarchical regression analysis using with the SPSS/Win 23.0 program. There was a significant correlation between depression (r=.45, p<.001), drinking alcohol (r=.14, p=.008), social support (r=-.26, p<.001), quality of life (r=-.46, p<.001), and suicidal ideation. In the first step of hierarchical regression analysis, satisfaction of school life (${\beta}=.198$, p<.001) was the significant factor influencing the suicidal ideation. Explanatory power was 25.2%. In the second step of the hierarchical regression analysis, absence of parents (${\beta}=-.095$, p=.044), depression (${\beta}=.247$, p<.001), quality of life (${\beta}=-.280$, p<.001), and explanatory power were increased to 42.0%. The results of the study indicate the need to actively identify the group of university students in their 20s with high risk of suicide through continuous evaluation of depression, and to improve the quality of life as a method of preventing suicide. In addition, the effect of absence of parents on the suicidal ideation among Korean university students suggests that parental support may play an important role in suicide prevention.