This study was conducted to investigate the dietary intake, anthropometric data, and association between two factors and main food sources contributing macronutrients for overweight and obese females. Subjects were 85 adult females (overweight : 28, obese 57) where mean age was 38.7y. The results are summarized as follows. Mean fat percent, BMI, obesity rate were 29.3, 23.9 and 15.1%, respectively for overweight women and 32.7, 28.3, 36.4%, respectively for obese women. There were significant differences for most of the anthropometric data between groups. Fat percent for all subjects was significantly correlated with weight, waist circumference, hip circumference, mid arm circumference or skinfold thickness for the triceps, subscapular and suprailiac (p < 0.001). The parameter which showed the highest correlation coefficient (r=0.6156) with fat Percentage was the waist to hip ratio. Any significant differences were not found in dietary intake of nutrients or in diet composition between groups. The mean energy intake was 2090.1kcal (104% of RDA) for overweight women and 2113.0kcal (106% of RDA) for obese women. PFC ratio for overweight was 17 : 24 : 59 and 18 : 23 : 58 for obese subjects, which can be regarded as higher fat and lower carbohydrate percentages compared to recommended PFC ratio (15 20 65) .4) Fat intake was positively correlated (r : 0.2301, p < 0.05) with the triceps skinfold thickness, protein intake was also positively correlated with waist circumference (r=0.2668, p < 0.05) or fat weight(r: 0.2406, p < 0.05) .5) The main food items that contributed to energy intake for overweight or obese subjects were similar (rice, pork, bread, grapes, barley) except com oil in overweight or instant noodle for obese group. The subjects in this study were taking less energy from rice and more energy from pork and bread than women from 98 National Health and Nutrition Survey. Because there were no significant differences of dietary data between overweight and obese group, further investigation considering basal metabolic rate or activity would be needed.
Objectives: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. Methods: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. Results: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = $721-(1.5{\times}age)+(0.4{\times}height)+(9.9{\times}weight)$. Conclusions: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Purpose: The purpose of this study was to explore unmet healthcare needs among low-income overweight and obese women and to identify the factors affecting unmet healthcare needs. Methods: The study was a secondary analysis of data from the 2017 Korea National Health and Nutrition Examination Survey. A final sample of 388 out of 8,127 participants was analyzed using complex descriptive statistics, the chi-square test, the independent t-test, and logistic regression. Results: The mean age of the participants was 66.51±1.05 years. Unmet healthcare needs were experienced by 19.4% of low-income overweight and obese women. Women with depression, stress, and poor self-reported health status were significantly more likely than their counterparts to experience unmet healthcare needs. Poor self-reported health status was confirmed to be related to unmet health needs in low-income overweight and obese women (odds ratio, 2.65; p=.011). Conclusion: The study provides the novel insight that the unmet healthcare needs of low-income overweight and obese women were influenced by self-reported health status. Healthcare providers should make efforts to develop strategies to reduce unmet healthcare needs among low-income overweight and obese women, who constitute a vulnerable population.
Height and weight are important indicators to calculate Body Mass Index (BMI); measuring height and weight directly is the most exact method to get this information. However, it is ineffective in terms of cost and time on large population samples. The aim of our study was to investigate the validity of self-reported height and weight data compared to our measured data in Korean children to predict obese status. Four hundred twenty-two fifth-grade (mean age $10.5{\pm}0.5$ years) children who had self-reported and measured height and weight data were final subjects for this study. Overweight/obese was defined as a BMI of or above the 85th percentile of the gender-specific BMI for age in the 2007 Korean National Growth Charts or a BMI of 25 or higher (underweight : < 5th, normal : ${\geq}5th$ to < 85th, overweight : ${\geq}85th$ to < 95th). The differences between self-reported and measured data were tested using paired t-test. Differences based on overweight/obese status were tested using analysis of variance (ANOVA) and linear trends. Pearson's correlation and Cohen's kappa were tested to examine agreements between the self-reported and measured data. Although measured and self-reported height, weight and BMI were significantly different and children tended to overreport their height and underreport their weight, the correlation between the two methods of height, weight and BMI were high (r = 0.956, 0.969, 0.932, respectively; all P < 0.001), and both genders reported their overweight/non-overweight status accurately (Cohen's kappa = 0.792, P < 0.001). Although there were differences between the self-reported and our measured methods, the self-reported weight and height was valid enough to classify overweight/obesity status correctly, especially in non-overweight/obese children. Due to bigger underestimation of weight and overestimation of height in obese children, however, we need to be aware that the self-reported anthropometric data were less accurate in overweight/obese children than in non-overweight/obese children.
The purpose of this study was to explore the influencing factors of consumption behavior of healthy functional foods including vitamin/mineral products for overweight and obese Koreans. Overweight and obese Koreans were selected based on the body mass index(BMI) from the KNHANES that was collected in 2007. Probit estimation model was used to find the influencing factors such as age, gender, job, education, income, nutrition education, and cultural capital(parents' education) on consuming the healthy functional foods. Overweight consumers were found to consume vitamin/mineral products and healthy functional foods at 17.5% and 22.7%, respectively. Obese consumers were found to consume vitamin/mineral products and healthy functional foods at 18.2% and 22.8%, respectively. In addition, self decision was found to be a significant factor to consume both products in both groups. Nutritional education and job were significant factors to consume vitamin/mineral products in overweight consumers, while mother's education and job(service) were significant factors in obese consumers. Weight control for body shape, gender, age, and income were significant factors to consume healthy functional foods in overweight consumers, while nutrition label and perceived health status were significant for obese consumers. Therefore, providing consumer information on functional foods might be useful for consumers to consider the healthy functional foods as an available option to purchase. Various influencing factors between two groups might be concerned to develop different strategies for promoting the healthy functional foods consumption including vitamin/mineral products.
Objectives: The purpose of this studay was to compare the eating-related index and the patterns of pre- and post-prandial gut hormone level in normal-overweight and obese subjects of Taeemin population. Methods: We enrolled healthy male participants who were diagnosed with Taeeumin by Sasang Constitutional diagnosis and who were normal-overweight ($18.5kg/m^2{\leq}$body mass index [BMI)< $25kg/m^2$) or obese ($25.0kg/m^2{\leq}$BMI< $30kg/m^2$). Eating behavior and gastrointestinal problems were assessed by using standardized scale. Subjective appetite ratings using visual analogue scales and the profiling of serum levels of ghrelin and peptide YY (PYY) were assessed before and after a standard meal (6 time points: 30 minutes pre-prandial, immediately before meal, 15, 30, 60, and 120 minutes post-prandial). Results: Tewnty two healthy Taeeumin people classified as normal-overweight group or obese group are the final subjects. External eating score of Dutch eating behavior questionaire scores is higher in normal-overweight group than in obese group. The variations of subjective appetite ratings in obese group are smaller than in normal-overweight group. The pattern of ghrelin in normal-overweight group shows a high peak at 30 minutes post-prandial point, which is contrary to existing studies. The pattern of PYY in obese group decreases from 15 minutes post-prandial point and shows lower peak level, whereas in normal-overweight group shows increasing tendency from pre-prandial point until 30 minutes post-prandial point. Conclusions: There are differences in the eating-related index and the gut hormone patterns related to obesity.
Purpose: The purpose of this study was to compare obesity-related quality of life according to obesity classification by BMI (body mass index) and self-assessment. Methods: The participants were 286 female college students in J City. Data were obtained by measuring height. weight and BMI, and using a questionnaire for self-assessment of obesity, weight control, and quality of life. The quality of life was measured using 14 items of the Korean version of obesity-related quality of life (KOQOL). Results: Thirty five percent of the students assessed themselves as overweight and obese despite their BMI <$23m^2/kg$(false overweight). True overweight students with BMI $\geq23m^2/kg$ who perceived themselves as overweight and obese were 23%. The total KOQOL score between true and false overweight students showed no significant difference. True overweight students had a lower total KOQOL score including psychosocial, physical, daily living, sex related. and food-related domains than true normal weight students. Conclusions: The quality of life was not different between true and false overweight students. These results indicate that self-assessment about obesity affects the quality of life like as actual BMI in female college students. Therefore, it is necessary to care students who distort themselves as obese.
This study investigates differences in middle school male students' anthropometric variables and dietary habits using BMI (Body Mass Index) classifications. $\chi^2$ -test for frequency and ANOVA test for mean value and duncan value were used to analyze results. Averaged results of three groups of middle school male students' anthropometry including height (normal group 164.4 cm, overweight group 165.0 cm, obese group 167.0 cm), weight (normal group 56.0 kg, overweight group 70.0 kg, obese group 83.2 kg) and waist circumference (normal group 20.7 cm, overweight group 79.8 cm, overweight group 89.6 cm) were resulted. Classification of obese group was based upon 2007 growth charts using BMI criteria. This study indicates the normal weight group boys have over-eating related dietary habits and the obese groups have less calorie dietary habits. They answered oppositely to normal recognition. The obese group reflected dietary problems, such as preferences for sweet fruit rather than normal group males. Dinnertime of the groups were significantly different and obese group's earlier dinnertime can influence on their late night snack eating. Forty precent of obese male group like fruits as late night eating food. Three meal amount of three groups were significantly different, as obese group answered they ate same amount at every meal. It can mean obese group ate more amount of food in every meal. Overweight and obese male students have dietary problem of fast eating and answers of unbalanced eating were higher in normal group. These could mean obese group eats well in every food and fast eating habit could lead a lot of food eating habit. Obese group chooses out-going food of less calorie and frequency of fast food eating was lower than normal group. In result, obese group answered that they have less calorie related dietary habits, it could mean their answers were false or fixed dietary habit. Therefore, more researches should be followed.
Purpose: The purpose of this study was to investigate the difference in serum ferritin and leukocyte regarding overweight and obese South Korean adults. Methods: This study was conducted on 5,281 subjects older than 19, according to data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-3), 2015. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and stepwise multiple regression analysis (SPSS 24.0). Results: First, serum ferritin and leukocyte were higher regardubg obesity, followed by being overweight and within normal weight. Second, body mass index (BMI) was positively correlated with serum ferritin and leukocyte. Third, factors affecting serum ferritin were gender, and being obese and overweight. Explanatory power of the model was 26.2%. Factors affecting leukocyte were gender, obesity, being overweight, and weight change over the past year (weight gain). Explanatory power of the model was 10.2%. Conclusion: Obesity and being overweight were factors affecting serum ferritin and leukocyte, and obesity was more affected than being overweight in Koreans older than 19. In conclusion, serum ferritin was a marker of inflammation, rather than iron status, in overweight and obese Korean adults.
Purpose: The purpose of this study was to compare variables related to weight control between normal weight and overweight/obese female adolescents. Methods: This study is a supplementary analysis using a total of 293 female adolescents in Seoul. Data were collected through self-report questionnaires on the topics of stages of change, processes of change, and the decisional balance pertaining to weight control. Body weight and height were also measured. Results: There was a significant difference in the stages of change between the normal weight and overweight/obese groups. Of 12 processes of change, 9 processes were significantly higher in the overweight/obese group than in the normal weight groups. Also, female adolescents who were overweight or obese had significantly higher pros and eating efficacy scores comparing to those in the normal weight group. Conclusion: The findings of this study suggest that overweight/obese female adolescents, especially those in the action stage need supports to continue their weight control behaviors. In addition, a weight control program for female adolescents should emphasize their participation in physical activities in addition to their dietary control efforts.
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