than in men . The present findings that the MS has more deleterious impact on arterial stiffness in women than in men may explain the higher cardiovascular risk in women .
Sex hormones may have a modulating role on arterial stiffness . It is well known that the endogenous estrogen has protective effectsonthe vasculature in women . 22) Insulin resistance is linked to lower estrogen concentrations and hyperandrogenicity . 23) Insulin resistance and its hormonal changes in MS may reverse the favorable effectsof female sex hormone . FSH concentrations correlate strongly with decline in central arterial function . 24) And genetic mechanisms might relate to the gender differences supported by the identification of sex - specific quantitative genetic loci for the MS risk components . 25-26)
model of healthy behaviors for Mets used in this study was found to be 29.8 %. Factors that directly influenced healthy behaviors were motivation and behavioral skills.
Although theeffectsof Mets information on healthy behaviors were not direct, information affected motiv- ation, which positively influenced healthy behaviors in this study. In healthy behavior based interventions for patients with Mets, providing information helped strengthen the personal and social motivation perceived by participants [45, 46]. However, theeffectsof previous healthy behaviors interventions including providing in- formation, depended on time, because education or peri- odical follow-ups could not influence lifestyle changes for Mets in such a short time [5, 17]. Behavioral changes may also be affected by time following diagnosis with Mets because health education is provided to those diag- nosed with Mets; given that the majority ofthe partici- pants were diagnosed with Mets within a year of this study, the effect of providing information on healthy be- haviors may have been influenced by the amount of time since diagnosis with Mets and the particular characteris- tics of participants. More research is warranted to exam- ine the differential impact of participant backgrounds on healthy behaviors for Mets.
Although previous studies have investigated a health effect of meat or red meat consumption in relation to cardiovascular disease, type 2 diabetes, or metabolicsyndrome, its health effects are still inconclusive [1,3- 11]. Little evidence is available regarding the relation between meat consumption and subclinical atheros- clerosis. Only a few studies explored the association between dietary patterns or saturated fat and carotid IMT. A French cohort study with 1026 middle-aged participants suggested that a nutritionally poor dietary pattern with a high meat and alcohol and low micronutrient intake was related to increased arterial stiffness but not carotid IMT . In a multi-center observational study in the US with 802 adults reported that a pro-inflammatory and pro-thrombotic dietary pattern characterized by higher intakes of low-fiber bread and cereal, red and processed meat, cottage cheese, tomato foods, regular soft drinks, and sweetened beverages and lower intakes of wine, rice and pasta,
while the control group provided single- health counseling, general health information in the pre-survey and also health manual book after completion ofthe research. The intervention program included group and individual education for the understanding and managing ofmetabolicsyndrome, and physical activity through the operation ofthe Silver Movement classroom once a week, and also individual activity which was shared the experience by case presentations with consisting of self-monitoring and self-help groups etc. Also, it enhanced a self efficacy through experiencing a sense of accomplishment by checking a current health status monthly with regular test ofmetabolic risk factors such as blood pressure, blood sugar, waist circumference, and body composition. Also, to reinforce practical motives in health life, we provided phone coaching and text messaging weekly for 16 weeks. Data collection was done with self report questionnaires about self efficacy and life style, blood test for physiologic index in metabolicsyndrome, and also was investigated for 16weeks before and after the program was provided, The data collected were analyzed with using the SPSS 22.0 program. The homogeneity ofthe general characteristics in the experimental group and control were verified with using the Chi-square test, Fisher’s exact test, and the reliability verification ofthe measurement tools were calculated as a Cronbach’ ɑ. The verification ofthe homogeneity and hypothesis in the dependent variables were analyzed with the Independent sample t-test, Chi-square test. All statistical significance levels were taken in p<.05. The results of this study are as follows:
metabolicsyndrome 13) .
Several trials have demonstrated that lifestyle is correlated with the diagnosis ofmetabolicsyndrome, so that the syn- drome could be prevented by lifestyle modification 14) . In the US, its prevalence was 23.7% for ages over 20 years, and about 44% for ages over 50 years 15) . As for the Korean adult population, the prevalence rate was 17.7% for males, and 14.2% for females in 1998 16) . However, it has rapidly grown and was 31.9% with males and 25.6% with females in 2010 10) . Metabolic syndrome could be a predisposing factor for type 2 diabetes mellitus and for any kind of cardiovascular disease 17) . Also, the prevalence could be increasing because ofthe aging ofthe population and the adoption of westernized eating habits. Hence, it is meaningful to investigate the clinical impact ofmetabolicsyndrome 10) . The aim of this study was to explore lifestylefactors that are related to the occurrence ofmetabolicsyndrome so as to be able to utilize the results as baseline data for the furtherance of health care and medical treatment.
fat, and muscle mass measurements were excluded, which could falsely indicate that these indices are not risk factorsof GP pol- yps. This is supported by the fact that BMI was an insignificant risk factor (P = 0.155), while the odds ratio was 1.041. Future studies should compare randomly selected members ofthe general public with and without GB polyps. Another limitation of this study is that small polyps under 5 mm may be hard to distinguish from GB stones. Most polyps are less than 5 mm;
1 Assistant Professor, Department of Nursing, Yonsei University Wonju College of Medicine, Wonju; 2 Researcher, Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju; 3 Professor, Department of Precision Medicine and Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea;
4 Associate Professor, School of Nursing, University of California in Los Angeles, CA, USA
Purpose: This study examined the prevalence ofmetabolicsyndrome (MetS) in South Korean children and adolescents by gender and age and analyzed gender-specific factors associated with MetS. Methods: This study used data on children aged 10-18 years from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2010 to 2015. Analyses included descriptive statistics, the independent t-test, the x 2 test, and univariate logistic regression analysis (p<.050). Results: The prevalence of MetS was 4.8% in boys and 3.4% in girls. The prevalence was higher in girls up to the age of 12, but higher in boys who were 13 or older. Abdominal obesity was frequent in girls, whereas low high-density lipoprotein cholesterol (HDL-C) and elevated blood pressure were more common in boys. Higher body mass index, waist-to-height ratio, waist circum- ference, blood pressure, triglycerides, HDL-C, perceived "fat" body shape, and weight loss efforts were associated with MetS in both genders. Increasing age, having one meal per day, and weight maintenance were associated factors unique to boys. Fasting plasma glucose, familial medical history of low HDL-C, and perceived "thin" body shape were associated factors in girls. Conclusion: Gender and age differences should be considered in the risk assessment and prevention of MetS.
Y.-H. Lim 1 , H.-W. Woo 2 , M.-K. Kim 2 , J. Shin 1 , J.-K. Park 1 , J.-H. Shin 3 , Y.- H. Lee 2 , D.-H. Shin 4 , M.-H. Shin 5 , B.-Y. Choi 2 . 1 Hanyang University, Seoul, Korea Republic of; 2 Hanyang University, Preventive Medicine, Seoul, Korea Republic of; 3 Hanyang University Kuri Hospital, Guri, Korea Republic of; 4 Keimyung University Hospital Dongsan Medical Center, Occupational and Environmental medicine, Daegu, Korea Republic of; 5 Chonnam National University Medical School, Preventive Medicine, Gwangju, Korea Republic of
Nam, K. H., Kang, J. Y., Lee, Y. J., Sung, S. H., Chang, Y. K., Lee, J. Y., Park, I. K. and Choi, T. I.
(2013). Comparison of health outcomes according to intervention compliance in male korean workers with metabolicsyndrome. The Korean Journal of Nutrition, 46, 156-165.
National Cholesterol Education Program - Adults Treatment Panel Ⅲ. (2001). Executive summary ofthe third report ofthe national cholesterol education program expert panel on detection evaluation and treatment of high blood cholesterol in adults. Journal ofthe American Medical Association, 285, 2486-2497.
Abstract This study involved a secondary analysis of 2016 Korean National Health and Nutrition Examination Survey data to identify the relations between metabolicsyndrome, physical activity, and dietary patterns in Korean adults. The χ 2 -test, t-test, and logistic regression analysis of complex samples were conducted onthe data of 3,352 subjects aged 19 to 64 years with metabolicsyndrome. The prevalences ofmetabolicsyndromeamong men and women were 29.7% and 16.7%, respectively. In men, the high physical activity group showed a 0.8-fold increase in the likelihood ofmetabolicsyndrome (OR=0.8, p=.038), and higher fat intake increased the risk ofmetabolicsyndrome 0.98-fold (OR=0.98, p=.007). In women, the high physical activity group showed a 0.7-fold increase in the likelihood ofmetabolicsyndrome (OR=0.71, p=.034), higher carbohydrate intake increased the risk ofmetabolicsyndrome by 1.03-fold (OR=1.03, p<.001), and that higher protein and fat intakes reduced the risk by 0.96-fold (OR=0.96, p=.009) and 0.95-fold (OR=0.95, p<.001), respectively. The study shows that to meet the challenge presented by the increasing prevalence ofmetabolicsyndrome, efforts are needed to screen for adults at risk ofthemetabolicsyndrome by regular physical examination and to develop and provide intervention programs that involve regular high intensity physical activity and controlled carbohydrate, protein, and fat intakes.
Thus, it is worthwhile to identify specific rules as answers to our research question, “Who becomes diabetic among those with MS?”. To that end, we applied a data mining technique, decision tree, to the dataset of Korean National Health and Nutrition Examination Survey, conducted from 2007 to 2015 every third year by Korea Center for Disease Control and Prevention (KCDC). Although a study tried to classify MS using data mining techniques , to our knowledge, there is no prior research which examines the diabetes worsened from MS using data mining techniques to examine the relationship between MS and diabetes. In this study, we built C4.5 decision tree in order to derive rules which can be used to classify individuals with MS into those without diabetes and those with diabetes. From the decision tree, we identified five useful classification rules which provide answers to our research question. Their average classification accuracy is 75.8%. In addition, the decision tree showed that high blood pressure and waist circumference are the most influential factorsonthe classification ofthe two groups (class 0 and class
이수경 1 , 문미경 2*
1 계명대학교 간호대학, 간호과학연구소
2 경북대학교 간호대학, 간호과학연구소
Abstract This study was conducted to determine which factors would predict metabolicsyndrome (MetS) perception and exercise by applying a machine learning classifier, or Extreme Gradient Boosting algorithm (XGBoost) from July 2014 to December 2015. Data were obtained from the Korean Community Health Survey (KCHS), representing different community-dwelling Korean adults 19 years and older, from 2009 to 2013. The dataset includes 370,430 adults. Outcomes were categorized as follows based onthe perception of MetS and physical activity (PA): Stage 1 (no perception, no PA), Stage 2 (perception, no PA), and Stage 3 (perception, PA). Features common to all questionnaires for the last 5 years were selected for modeling. Overall, there were 161 features, categorical except for age and the visual analogue scale (EQ-VAS). We used the Extreme Boosting algorithm in R programming for a model to predict factors and achieved prediction accuracy in 0.735 submissions. The top 10 predictive factors in Stage 3 were: age, education level, attempt to control weight, EQ mobility, nutrition label checks, private health insurance, EQ-5D usual activities, anti-smoking advertising, EQ-VAS, education in health centers for diabetes, and dental care. In conclusion, the results showed that XGBoost can be used to identify factors influencing disease prevention and management using healthcare bigdata.
한국컴퓨터정보학회 하계학술대회 논문집 제29권 제2호 (2021. 7)
● 요 약 ●
Gallbladder polyps (GBPs) may be a cause of gallbladder cancer. The known risk factors for GBPs are male gender, obesity, metabolicsyndrome, and dyslipidemia. Especially, male gender has been known that it strongly affects onthe prevalence of GBPs. Therefore, this study aimed to investigate risk factors affecting the prevalence of GBPs amongadultson Jeju Island according to genders. We examined 5,574 subjects who visited a single health-screening center in Jeju between January 2015 and December 2019. Univariate and multiple logistic regression analysis were performed to identify risk factors affecting the prevalence of GBPs. The prevalence of GBPs were 8.9% in male subjects and 8.1% in female subjects, respectively. Multivariate analysis revealed that
주요어 : 노인, 대사증후군, 운동
Abstract The purpose of this study was to identify factors affecting maintenance of exercise among elderly with metabolicsyndrome. In order to achieve this purpose, the study design was used a cross-sectional survey. Study participants were a total of 136 elderly with metabolicsyndrome and they completed the questionnaire consisted of outcome expectations, exercise self-efficacy, exercise social support, physical activity environment, and exercise maintenance. The data was analyzed using frequency, X 2 , t-test, and Logistic regression by SPSS Win 20.0 program. The study results had shown that factors affecting maintenance of exercise among elderly with metabolicsyndrome, were gender, outcome expectation, and exercise self-efficacy. This study results indicated that the personal motivation such as self-efficacy and outcome expectation among elderly with metabolicsyndrome was the most important factor to maintain their exercise. Therefore, we should consider on developing health promotion program to enhance the personal motivation such self-efficacy and outcome expectation for elderly with metabolicsyndrome. In addition, this results would used to develop adequate nursing strategies for taking care them in the community.