• The Korean Journal of Community Living Science
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• v.20 no.2
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• pp.157-168
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• 2009

This study was carried out to investigate the effect of eating behavior, physical status and tendency of eating disorder on the right eating habit. The subjects of this study were 324 middle school students and 340 high school students in Osan city GyeongGi province. The average of weight and height in the middle and high school students were 48.7kg, 160.0cm and 56.8kg, 164.8cm respectively. In PIBW values, 92.9% of middle school students and 99.1% of high school students were almost close to the average. The 28.5% of high school and 21.5% of middle school students were aware of themselves as overweight. The risk of eating disorders in high school students(16.4%) were higher than that in middle school students(4.9%). Moreover, the risk of eating disorders in girls high school students(19.3%) was significantly higher than those of middle school students(5.2%) (p<0.001). The thought of food problems were realized in 57.4% of in high school students and in 39.9% of in middle school students. The intake of food group frequency, middle school students ate more fruit than high school students(p<0.01). Boys ate more frequently soy beans (p<0.05) and algae(p<0.1) than girls in high school students. The meat intake was more frequent in high school students, but the eggs and milk were more in middle school students. The boys' intakes of fish and milk were more often than the girls' in high school students. Eating disorders and food intake frequency scores were closely correlated with weights(PIBW and the gap of ideal. weight with real weight). In conclusion, the education about realizing exact healthy body shape and how to modify behavior to prevent eating disorders should be planned since junior high school. Especially in high school girls, the variety food intake education would be needed. Proper recognition of the weight is required for good food intake and for prevent eating disorders.

• Korean Journal of Adult Nursing
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• v.21 no.3
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• pp.303-313
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• 2009

Purpose: The purpose of this study was to investigate bone mineral density(BMD) and identify risk factors of osteoporosis in Korean postmenopausal women. Methods: The subjects consisted of 328 women. The BMD of the calcaneus were measured with peripheral dual energy x-ray absorptiometry. The risk factors were collected by a self-report standardized questionnaire. The differences among the osteoporosis, osteopenia, and normal group were compared by one way analysis of variance test, Scheffe's multiple comparison tests and Logistic regression. Results: The average age was 65 years old and the average T-score was 28.7% with osteoporosis. The Risk factors of osteoporosis were inclined by 24% in age (OR = 1.24, CI = 1.16 ~ 1.31), 53% in menarchal age (OR = 1.53, CI = 1.24 ~ 1.88), 3.5 times in vegetarian (OR = 3.52, CI = 1.66 ~ 7.47), 2 times in small-bowel disease (OR = 2.01, CI= 1.03 ~ 3.94), 5.3 times in arthritis (OR = 5.33, CI = 1.61 ~ 17.67), 5.5 times in eating disorder (OR = 5.50, CI = 1.43 ~ 21.17), 6 times in health perception (OR = 6.08, CI = 2.30 ~ 16.06). The Risk factors of osteoporosis were reduced by 10% in weight (OR = 0.90. CI = 0.83 ~ 0.97), and 10% in menopausal age (OR = 0.90. CI = 0.84 ~ 0.98). Conclusion: The risk factors of osteoporosis were in the general characteristics, menstrual history, history of disease, life style & diet, and health perception. Eating disorder and health perception are highest on the risk factor of osteoporosis in Korean postmenopausal women.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.3
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• pp.17-28
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• 2017

Ojectives: This study performed to analyze health promotion factors related to subjective stress level among first-year students of university. Methods: To examine the association with subjective stress level and health promotion factors, health survey was conducted with 3,892 students who were first-year students in an university by self-reported questionnaire from February 26 to March 10, 2015 in an university. Multiple regression analysis performed to identify the difference of health promotion factors by subjective stress level. Results: 1,015 students (26.1%) were on high stress level and 2,110 students (54.2%) were in healthy status. The 10.8% of them was obesity group and the 40% was alcohol use disorder group. The 8.2% had experienced depression in the last 1 year. In multiple regression models, it remained significantly the difference of subjective stress level by sex, subjective health status, sleep hours in a day, eating frequency of fruit and vegetable in a day, depression experience and suicidal thought in the last 1 year(p<0.05, p<0.01). On the other hand, it was not significant the difference by age, BMI, alcohol use disorder, eating breakfast, regular exercise and current smoking. Conclusions: To improve health promotion of first-year students of university, it should provide the intensive mental health program to women on campuses.

• Journal of Korean Medicine for Obesity Research
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• v.20 no.2
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• pp.178-192
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• 2020

Objectives: The present study aimed to compare the impacts of cognitive behavioral therapy (CBT) and behavioral treatment (BT) on weight loss and psychological outcomes among patients with three different subtypes of obesity: simple obesity, obesity with binge eating disorder, and obesity with depression. Methods: Embase, PubMed, the Cochrane Central Register of Controlled Trials, Research Information Sharing Service, and Korean Studies Information Service System were systematically searched for randomized controlled trials conducted on or before May 2020, that used CBT to treat obesity. Methodological quality was assessed using Cochrane's risk of bias tool 2 and publication bias was evaluated through the funnel plot using the trim and fill method, Egger's test, and Begg and Mazumdar rank correlation test. A meta-analysis was conducted using a random-effects model and the standardized mean difference with 95% confidence interval (CI) was used to determine effect size. Results: Twenty-one randomized controlled trials with a total of 22 intervention arms and 2,590 patients were included. Our study results revealed that the effects of CBT, compared with BT, on weight loss distinctly differed across all patient subgroups. In the simple obesity group, CBT was more effective than BT (Hedges' g=0.138, CI=0.012~0.264); however, in the obesity with binge eating disorder group, BT was more effective than CBT (Hedges' g=-0.228, CI=-0.418~-0.038); in the obesity with depression group, the effect of CBT was not statistically different from that of BT (Hedges' g=0.276, CI=-0.307~0.859). Further studies with larger sample sizes are required to confirm the outcomes observed in this study. Conclusions: Our results indicated that the effects of CBT on obesity treatment vary based on patient subtype. Therefore, our findings suggest that CBT or BT should be selectively recommended as a treatment strategy for different obesity subtypes.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• Korean Journal of Psychosomatic Medicine
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• v.18 no.1
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• pp.19-29
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• 2010

Objectives：Authors hypothesized that bipolar tendency of non-psychiatric person would be associated with stress vulnerability. To test the hypothesis, we compared perceived stress level, Type A Behavioral Pattern (TABP) and unhealthy lifestyle between person with and without bipolar tendency. Methods：The study cohort consisted of 1987 subjects without past and current psychiatric history. In this study, bipolar tendency was determined by MDQ response which requires endorsement of at least 7 of the 13 "yes or no" questions. We compared the scores of Perceived Stress Scale, A/B lifestyle questionnaire, and unhealthy lifestyle(alcohol, smoking, lack of exercise, irregular meal) between MDQ positive and negative respondents. Results：We identified the bipolar tendency group determined by the MDQ positive response were 329 subjects(16.6%). The overall score of the bipolar tendency group was significantly high on the A/B lifestyle questionnaire compared to the non-bipolar tendency group(125.4 vs. 115.9, p<0.001), and the rate of the subjects defined as TABP was also significantly high(41.3% vs. 30.1%, p<0.001). In comparison of subjectively perceived stress level, the bipolar tendency group was observed to be significantly higher than the non-bipolar tendency group (18.5% vs. 16.5%, p<0.001). The bipolar tendency group was significantly higher than the non-bipolar tendency group on the rate of answering：'irregular eating habit' (20.1% vs. 14.3%, p=0.002), '4-or-more-times alcohol intake per week' (29.8% vs. 16.5%, p<0.001), 'currently smoking' (41.9% vs. 23.0%, p<0.001), '2-or-less-times physical exercises per week' (63.2% vs. 55.1%, p=0.007). Conclusion：By clinical diagnosis, even a person who does not meet the criteria of bipolar disorder has a high risk of stress-related behavioral pattern, and perceived stress when possessing bipolar tendencies such as the (hypo) maniac tendency or affective instability. Such individual has significantly higher risk of having unhealthy life-style such as smoking, drinking, irregular eating habit and lack of exercise compared to non-bipolar tendency group. Since these risk factors lead to increase the risk of obesity, metabolic syndrome, diabetes, and cardiovascular diseases, the individual with the bipolar tendency requires a more effort to manage stress and to maintain healthy lifestyle.

• Korean Journal of Culture and Social Issue
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• v.25 no.4
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• pp.325-351
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• 2019

The present study examined patterns of co-occurrence between DSM-5 posttraumatic stress disorder(PTSD) symptoms and posttraumatic growth(PTG) among Korean populations(n= 860). Latent profile analysis was used to identify subclasses and suggested that the 3-class model fit best: (1) Low PTSD/Mild PTG group (2) Low PTSD/High PTG group; (3) High PTSD/High PTG group. Class membership was predicted by demographic variables, social isolation, and frequency of traumatic experiences. Classes also differed with respect to self-destructive behaviors(binge eating, non-suicidal self-injury, and problem drinking). These findings contribute to future research about the coexisting patterns of PTSD and PTG, and to identify high-risk individuals who suffer from trauma-related problems in clinical practice.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.2
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• pp.119-129
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• 2016

Objectives: The purpose of this study was to investigate mental health problems in obese child and adolescent patients. We assess the frequency of mental health problems and their differences according to sex, school grade and severity of obesity. Methods: The sample consisted of 106 children and adolescents aged 8-16 years (61 boys with mean age $10.98{\pm}2.26$, 45 girls with mean age $9.74{\pm}1.96$, p=.004) who were diagnosed with obesity and recruited at the Department of Pediatrics of Jeju National University Hospital. The participants completed the Korean-Child Behavior Checklist (K-CBCL), Children's Depression Inventory (CDI), Korean version of the Eating Attitude Test-26 (KEAT-26), and somatotype drawings. Results: The percentage of participants having a T-score in clinical range on one or more CBCL subscale was 37.7%. The percentage of participants in the high risk group for depression (CDI score above 17) was 20.8% and that in the high risk group for eating disorder (EAT-26 score above 20) was 6%. The girls showed significantly lower CBCL T-scores in social competence ($48.39{\pm}15.66$ vs. $38.91{\pm}22.04$, p=.011), adjustment function ($49.51{\pm}17.35$ vs. $40.38{\pm}22.58$, p=.020) and school competence ($53.34{\pm}10.47$ vs. $48.22{\pm}15.11$, p=.042) than the boys, but the percentages of boys and girls in clinical range were not significantly different. The middle school students showed (significantly) higher CBCL T-scores in somatic symptoms ($60.86{\pm}9.44$ vs. $55.74{\pm}6.76$, p=.005), aggressive behavior ($58.81{\pm}6.74$ vs. $54.68{\pm}6.22$, p=.009), total problems ($59.86{\pm}9.91$ vs. $54.88{\pm}9.76$, p=.039) and externalizing problems ($57.90{\pm}10.57$ vs. $52.44{\pm}9.38$, p=.022) than the elementary school students. The severe obesity group showed significantly higher CBCL T-scores in attention problems ($59.18{\pm}9.45$ vs. $54.15{\pm}5.34$, p=.001), social problems ($59.25{\pm}8.59$ vs. $55.96{\pm}6.50$, p=.038), delinquent behavior ($58.07{\pm}6.97$ vs. $54.73{\pm}6.00$, p=.017) and total problems ($59.21{\pm}11.65$ vs. $54.67{\pm}9.03$, p=.037) than the mild to moderate obesity group. Conclusion: Significant proportions of obese children and adolescents suffer from mental health problems. Clinicians need to pay attention to the mental health risk, especially in obese adolescents and severely obese children and adolescents.

• Korean Journal of Community Nutrition
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• v.23 no.5
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• pp.397-410
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• 2018

Objectives: An association between dietary patterns and mental health in children has been suggested in a series of studies, yet detailed analyses of dietary patterns and their effects on ADHD (attention deficit hyperactivity disorder) are limited. Methods: We included 4569 children who had dietary intake data as part of the CHEER (Children's Health and Environmental Research) study conducted nationwide from 2005 to 2010. We assessed ADHD (Attention Deficit Hyperactivity Disorder) by the DuPaul's ADHD Rating Scales and dietary intake by a semi-quantitative food frequency questionnaire. Using intake data, we constructed five dietary patterns: "Plant foods & fish," "Sweets," "Meat & fish," "Fruits & dairy products," and "Wheat based." Results: The overall proportion of ADHD was 12.3%. Boys (17.8%) showed a higher rate of ADHD than girls (6.5%). The total intake of calories (85 kcal) and plant fat (2g) in the ADHD group was significantly higher than that of the normal group. ADHD was significantly negatively associated with dietary habits such as having breakfast and meal frequency, and positively associated with eating speed, unbalanced diet, overeating, and rice consumption. Regarding dietary patterns, the "Sweets" category was relevant to high ADHD risk (OR 1.59, 95% CI: 1.18, 2.15 for Q5 vs. Q1) in a linear relationship. An inverse, non-linear association was found between "Fruits & dairy products" and ADHD (OR 0.55, 95% CI: 0.39, 0.76 for Q4 vs. Q1). Conclusions: Our study confirms both positive and negative associations between diet and ADHD in elementary school age children. Moreover, linear or nonlinear associations between diet and ADHD draw attention to the possible threshold role of nutrients. Further studies may consider characteristics of diet in more detail to develop better intervention or management in terms of diet and health.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.6
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• pp.891-908
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• 2009

This study was performed to investigate the dietary habits, body weight satisfaction and eating disorder tendencies of female university students in Kyungnam province. Anthropometric measurements, dietary habits, body weight satisfaction, food preferences, disordered eating, and nutrient intakes were assessed in 132 female students at Kaya University. The results were analyzed with $x^2$- and ANOVA tests using the SPSS package program. The average age of the subjects was 20.1 years and average body mass index (BMI) were $21.1\;kg/m^2$. According to BMI, the percentages of students who were underweight, normal weight and overweight by BMI were 21.2, 55.3, and 23.5, respectively. Duration of exercise was significantly different by BMI. Index scores for a mini dietary assessment were significantly higher in the normal and overweight groups than in the underweight group. Scores for sweet, salty, and meat preferences were highest and scores for bean and vegetable preferences were lowest, in the underweight group. Satisfaction for present body weight was lowest, and self-perception of body image and weight control experiences were highest in the overweight group. All subjects in the overweight group wanted to be slim, and those in the normal and underweight groups, preferred to be more slim despite their current body weight being in the normal or below normal range. The percentage of the subjects who were at risk for eating disorders (based on scores from the Eating Attitude Test-26, EAT-$26{\geqq}20$) was 11.3%. Scores for EAT-26 were higher in the overweight group than in the underweight and normal weight groups. Nutrient intakes were not different among the groups. Therefore, dietary habits, taste and food preferences, satisfaction for present body weight, and disordered eating were significantly different according to BMI. These results suggest that overweight female university students need help correcting disordered eating, and nutrition counseling should be established to aid desirable weight control methods. Those who are underweight and normal weight need help establishing proper perceptions of their normal body weight and body image as well as nutrition counseling for health.