• Title/Summary/Keyword: Moderate Regression

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Prediction of random-regression coefficient for daily milk yield after 305 days in milk by using the regression-coefficient estimates from the first 305 days

  • Yamazaki, Takeshi;Takeda, Hisato;Hagiya, Koichi;Yamaguchi, Satoshi;Sasaki, Osamu
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.10
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    • pp.1542-1549
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    • 2018
  • Objective: Because lactation periods in dairy cows lengthen with increasing total milk production, it is important to predict individual productivities after 305 days in milk (DIM) to determine the optimal lactation period. We therefore examined whether the random regression (RR) coefficient from 306 to 450 DIM (M2) can be predicted from those during the first 305 DIM (M1) by using a RR model. Methods: We analyzed test-day milk records from 85,690 Holstein cows in their first lactations and 131,727 cows in their later (second to fifth) lactations. Data in M1 and M2 were analyzed separately by using different single-trait RR animal models. We then performed a multiple regression analysis of the RR coefficients of M2 on those of M1 during the first and later lactations. Results: The first-order Legendre polynomials were practical covariates of RR for the milk yields of M2. All RR coefficients for the additive genetic (AG) effect and the intercept for the permanent environmental (PE) effect of M2 had moderate to strong correlations with the intercept for the AG effect of M1. The coefficients of determination for multiple regression of the combined intercepts for the AG and PE effects of M2 on the coefficients for the AG effect of M1 were moderate to high. The daily milk yields of M2 predicted by using the RR coefficients for the AG effect of M1 were highly correlated with those obtained by using the coefficients of M2. Conclusion: Milk production after 305 DIM can be predicted by using the RR coefficient estimates of the AG effect during the first 305 DIM.

Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling (영과잉 음이항 회귀모형을 적용한 농촌지역 성인 신체활동의 지역사회환경 요인 분석)

  • Kim, Bongjeong
    • Journal of Korean Public Health Nursing
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    • v.29 no.3
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    • pp.488-502
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    • 2015
  • Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}=.130$, p=.005), social network (${\beta}=-.096$, p=.003), and safety for crime (${\beta}=-.151$, p=.036), and no days of physical activity was associated with no attainment of education and marginally associated with increasing BMI. Conclusion: Neighborhood environmental factors including social cohesion, social network, and crime for safety were significantly associated with physical activity of rural adults. Community health nurses should expand an approach for individual behavior change to incorporate rural adults' specific neighborhood environmental factors into physical activity interventions.

Analysis of Relationship between Physical Activity and Energy Drinks Consumption in Korean Adolescents (한국 청소년의 신체활동과 에너지음료 섭취와의 관련성)

  • Yun, Haesun
    • Journal of the Korean Society of School Health
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    • v.31 no.3
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    • pp.196-202
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    • 2018
  • Purpose: The purpose of this study was to analyze the relationship between physical activity and energy drinks consumption in Korean Adolescents. Methods: This study was a secondary data analysis using statistics from the 2017(13th) Korea Youth Risk Behavior Web-based Survey. The variables used in the study were physical activity, energy drinks consumption and socio-demographic characteristics such as gender, academic achievement, household economic status and weekly allowance. The data were analyzed by $x^2$ test and multinominal logistic regression and the results were presented in percentage. Results: As the number of days engaging in moderate and vigorous physical activities increased, the response that they consume energy drinks 'more than 5 times a week' also increased. The subjects who participated in a 'moderate' or 'high' level of moderate physical activity consumed 1.4 times more energy drinks than those who do not participate in physical activity. And the subjects who engaged in a 'low' or 'moderate' level of vigorous physical activity consumed about 1.3 times more energy drinks than those who don't work out. Conclusion: As the level and intensity of physical activity increased, the number and frequency of energy drinks consumption increased. The results of this study can be used as basic data for intervention programs to reduce energy drinks consumption and promote proper physical activity.

Physical Activity and Obesity in Male and Female Middle and High School Students (남녀 중.고등학교 학생의 신체활동과 비만)

  • Park, Hyun-Ju
    • Journal of the Korean Society of School Health
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    • v.23 no.1
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    • pp.53-62
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    • 2010
  • Purpose: Adolescent obesity is a growing problem. This study examined the relationships between different types of physical activity and obesity in male and female middle and high school students. Methods: This study used the Korea National Health and Nutrition Examination Survey data of 2007. The study included 282 male and female middle and high school students who completed health survey questionnaires regarding physical activity. Physical activity was measured with vigorous and moderate activity and walking. BMI was used as an obesity indicator. Analyses were done using descriptive statistics, ANOVA, and chi-square test. In addition, multiple logistic regression were conducted to investigate the relationship between physical activity and obesity when adjusting for covariates. SAS/WIN 9.1 was used. Results: Boys spent more days in vigorous and moderate physical activity than girls (p for vigorous activity: <.001, for moderate activity: <.001). There was no significant difference in walking activity between boys and girls and between middle and high school students. Only days spent in vigorous activity was significantly higher in middle school student compared with high school students (p=.013). According to the relationship between physical activity and obesity, moderate physical activity was significantly related to BMI for high school boys (p=.041). However, when adjusting for age, sex, school, parental income, daily caloric intake, physical activity was not significantly related to obesity. Conclusions: The results showed that male and female middle and high school students spent not enough days in doing low moderate and vigorous physical activity. Thus, this strengthens the need to increase physical activity level in these populations. In spite of non-significant relationship between physical activity and obesity from multivariate analysis, increasing moderate physical activity for high school boy could be effective to prevent and manage obesity, since significant difference between moderate activity and obesity in this population.

Korean Undergraduate Students' Intention, Attitude, Perceived Control, and Social Pressure for Moderate Drinking Behavior (일부 대학생의 절주행위 의도와 관련요인 조사 연구 : 계획된 행위이론의 적용)

  • Yoo, Hye-Ra
    • Research in Community and Public Health Nursing
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    • v.11 no.2
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    • pp.347-357
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    • 2000
  • The purspose of this study is to examine the undergraduate students' attitudes, salient beliefs, perceived self-control and intentions for moderate drinking behavior of their own. Two hundred and twenty five students in two universities in Seoul and Suwon participated in this study. Questionnaires developed by this investigator under the guidance of the theory of planned behavior were used to collect data, Descriptive statistics, t-test, ANOVA. Pearson correlation coefficients. and multiple regression were used to analyze the data. The majority of the students showed positive attitudes toward the moderate drinking behavior. Students perceived conflict messages. however. from their significant others about their moderate drinking behavior. While parents and other family members as sisters and brothers strongly supported the moderate drinking behavior of students, friends and school-mates did not. More than half of the students did not intend to reduce their alcohol consumption in the near future. Students' attitudes and perceived self-control were the predictor variables of the intention while subjective norms were not. Students who intended to reduce their alcohol consumption showed a more positive attitude, subjective norm, and higher perceived self-control scores than who did not. These students who were intent for moderate drinking behavior spent less money for drinking, had less opportunities to drink, and drank small amounts of alcohol Moderate Drinking Behavior programs focusing on students who were heavy drinkers, however, did not intend to reduce their alcohol consumption should be developed focused on their characters. Programs for students who intended to reduce their alcohol consumption also recommended to help the students' positive intention continued.

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Influence of Physical Activity on Smoking Experience and Smoking Intensity in Korean High School Students (신체활동이 고등학생의 흡연 경험 및 흡연 강도에 미치는 영향)

  • Ra, Jin Suk;Cho, Yoon Hee
    • Journal of the Korean Society of School Health
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    • v.27 no.3
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    • pp.181-188
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    • 2014
  • Purpose: The purpose of this study was to investigate the influence of physical activity on smoking experience and smoking intensity in Korean high school students. Methods: This cross sectional study used secondary data from the 2013 Adolescent Health Behavior Online Survey. A total of 35,905 high school students were included in the study. Logistic regression was used for analysis of the influence of moderate and vigorous physical activity on smoking experience in a month and smoking intensity. Results: Adolescents with low (Adjusted OR: 1.242, 95% CI: 1.075~1.436) and moderate level (Adjusted OR: 1.094, 95% CI: 1.005~1.189) of moderate physical activity had more smoking experience than reference group, high level of physical activity. Also, smoking experience was more prevalent adolescents with low (Adjusted OR: 1.191, 95% CI: 1.064~1.333) and moderate level (Adjusted OR: 1.134, 95% CI: 1.039~1.237) of vigorous physical activity. Heavy smoking was more prevalent among adolescents who had low level of vigorous physical activity (Adjusted OR: 1.912, 95% CI: 1.347~2.712). Conclusion: Based on the results of this study, physical activity has significant influence on smoking experience and smoking intensity. Therefore, physical activity should be included smoking cessation and smoking prevention program for High School Students.

Influence of Physical Activity on the Prevalence of Diabetes Mellitus in Korean Male Adults (신체활동이 당뇨병 유병률에 미치는 영향: 성인 남성을 중심으로)

  • Pahn, Jihyon;Yang, Youngran
    • Journal of Korean Public Health Nursing
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    • v.34 no.1
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    • pp.35-47
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    • 2020
  • Objectives: This study investigated the effect of physical activity of adult Korean males on the prevalence of diabetes mellitus. Methods: This cross-sectional study used the raw data from the 2017 Community Health Survey. The subjects of this study were 74,494 men aged 19-64 years old. The data was analyzed applying the complex sampling design and using SPSS 23.0 Program. Descriptive statistics, Rao-Scott Chi-square tests and multiple logistic regression analysis were all performed. Results: The prevalence of diabetes mellitus was 6.4%. The walking activity was 58.5% and the over moderate intensity physical activity was 27.5%. After adjusting for age, marital status, educational level, household monthly income, drinking and smoking status, and BMI, those subjects without moderate intensity physical activity had a 1.14 times higher prevalence of diabetes mellitus (95% CI = 1.05-1.24) than those men with moderate intensity physical activity. Conclusion: In order to decrease the prevalence of diabetes mellitus among adult men, regular physical activities over a moderate intensity level should be emphasized and encouraged in daily life.

Paternal Behaviors and Adolescents' Academic Motivation at Low, Moderate, and High Levels of Students' Achievement in Mainland China

  • Cho, Won Jee;Bush, Kevin R.;Xia, Yan;Wilson, Stephan M.;Li, Wenzhen;Peterson, Gary W.
    • Child Studies in Asia-Pacific Contexts
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    • v.4 no.2
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    • pp.95-108
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    • 2014
  • The purpose of this study was to examine group differences in paternal behaviors (i.e., paternal connection, paternal punitiveness, and paternal knowledge) within and across three academic achievement levels-low, moderate, and high, and to explore the effects of paternal behaviors on the academic motivation of Chinese adolescents within these three achievement groups. Analyses of variance (ANOVAs) indicated that adolescents with low achievement perceived their fathers as more punitive than teens with moderate and high academic achievement. Regression analyses also revealed that paternal punitiveness (negative) and paternal knowledge (positive) were significant predictors of academic motivation for teens with low levels of academic achievement; while paternal punitiveness was a significant negative predictor of academic motivation among adolescents with moderate achievement. In contrast, for adolescents with high achievement, paternal connection was a positive significant predictor of academic motivation. The present findings provide some evidence that the impact of parental behaviors on teen's motivation varies across adolescent academic achievement levels, which may prove useful for professionals working with fathers to help target the most effective parenting behaviors to foster academic motivation.

Drinking Patterns Among Korean Adults: Results of the 2009 Korean Community Health Survey

  • Ryu, So Yeon;Crespi, Catherine M.;Maxwell, Annette E.
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.4
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    • pp.183-191
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    • 2013
  • Objectives: In Korea, the proportion of deaths due to alcohol is estimated at 8.9%, far exceeding the global estimate of 3.8%. Therefore, this study was performed to examine the factors associated with low-risk, moderate-risk, and high-risk drinking patterns in Korean adults and to identify target populations for prevention and control of alcohol-related diseases and deaths. Methods: We analyzed data from 230 715 Korean adults aged 19 years and older who participated in the 2009 Korean Community Health Survey. Multinomial logistic regression analysis was used to examine associations between socio-demographic and health-related factors and patterns of alcohol use. Results: A substantially larger proportion of men than women engaged in high risk (21.2% vs. 3.4%) and moderate-risk alcohol use (15.5% vs. 8.2%). In both sexes, moderate- and high-risk uses were associated with younger age, higher income, being currently employed, smoking, being overweight/obese, and good self-rated health. Conclusions: Given the large proportion of the population that is engaging in moderate- and high-risk drinking and given the social norms that support this behavior, public health policies and campaigns to reduce alcohol consumption targeting the entire population are indicated.

Prediction of fine dust PM10 using a deep neural network model (심층 신경망모형을 사용한 미세먼지 PM10의 예측)

  • Jeon, Seonghyeon;Son, Young Sook
    • The Korean Journal of Applied Statistics
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    • v.31 no.2
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    • pp.265-285
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    • 2018
  • In this study, we applied a deep neural network model to predict four grades of fine dust $PM_{10}$, 'Good, Moderate, Bad, Very Bad' and two grades, 'Good or Moderate and Bad or Very Bad'. The deep neural network model and existing classification techniques (such as neural network model, multinomial logistic regression model, support vector machine, and random forest) were applied to fine dust daily data observed from 2010 to 2015 in six major metropolitan areas of Korea. Data analysis shows that the deep neural network model outperforms others in the sense of accuracy.