Objectives: People often fail to reduce or maintain their weight despite trying to lose weight. The purpose of this study was to review previously published study results of the predictive factors associated with weight loss in obesity treatment. Methods: Authors searched for the articles related to weight loss, published from 2007 to 2017 found on PubMed, Scopus, Research Information Sharing Service (RISS), and Koreanstudies Information Service System (KISS). A total of 43 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to detailed categories. Results: Predictors of weight loss in obesity treatment included genetic and physiological factors, demographic factors, history of treatment on obesity related factors, behavioral factors, psychological factors and treatment process related factors. The main factors of weight loss were unchangeable predictors such as high initial degree of obesity and younger age, and changeable predictors such as dietary restraint, regular exercise, self-efficacy, initial weight loss and attendance. Especially dietary restraint, regular exercise, successful initial weight loss and high attendance were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of weight loss should be carefully examined during treatments of obesity.
The purpose of this study was to identify the factors that related to obesity among 6th grade elementary school girls. The study subjects were 337 girls residing in Seoul. Not only variables of nutritional environment such as eating habits, health related behavioral variables, nutritional feeding methods during infancy, and genetic factors but also sexual maturity had been included as a obesity related factors. Association between obesity and related variables were analyzed by $x^2$(Chi-square) test. The obesity prevalence of the study subjects were 16% based on Röhrer Index(RI). Fifty-three percent of the study subjects experienced menarche at the time of data collection. Result of analysis showed that not only the nutritional enviromental variables such as eating habits, specific food preferences, and habit of exercise but also genetic factors did not show any statistically significant association with obesity. Above finding may imply that more variables other than the variables included in this study might have influenced on the obesity of the children. However sexual maturity in term of breast development showed significant association with obesity.
Obesity in children is a major concern of public health. This study was performed to illuminate its effect on weight control program and the associated factors of obesity-related habits and obesity index in primary school obese children. Weight control program consisted of behavioral modification, nutrition education and exercise during 17 weeks. The sample consisted of treatment group(n=42) and control group(n=41). There was no statistical difference between the two groups in obesity index, socioeconomic status and grade. To assess the effects of weight control program, the subjects were given pre-test and post-test such as the measurement of anthropometric values and self-reporting questionnaire. This result of this study were as follows; 1. After weight control program was applied, there was a significant decrease in obesity index among the treatment group. Obesity-related habits score of the treatment group increased significantly, While there was not much difference between the pre-test and the post-test among the control group. But exercise habit didn't increase significantly in the both groups. 2. Correlation between obesity-related habits and obesity index were not evident. 3. After application of weight control program, the factors associated with change of eating habit were children's past experience of weight control, motivational change toward weight control program and friends' support for treatment group. The factors associated with change of exercise habit were post-test motivation score and friends' support. Motivational change toward weight control and pre-test self-efficacy of exercise behavior were counter-related to exercise habit. For change of other obesity-related habits, initial obesity index, motivational change, post-test self-efficacy score of exercise behavior and paternal educational status were closely associated. But post-test self-efficacy score of eating behavior was unrelated. 4. Only the factor of experience of weight control was associated with change of obesity index. 5. For the both groups, the factors associated with change of eating habits were post-test self-efficacy of eating behavior and family's support. The factors associated with change of exercise behavior were self-efficacy changes of exercise behavior and friends' support. The factors associated with change of other obesity-related habits were self-efficacy change of eating behavior. Initial obesity index was associated with change of obesity index. 6. The rate of dropouts from weight control program was 28.6% (12/42) in treatment group. Initial obesity index, other obesity-related habits except eating exercise habits, friend's support were associated with dropout. In conclusion, these results indicated that weight control program in primary school settings was effective. Direct exercise regimen and practice was demanded. In addition to the program itself, much of the success is dependent on the degree of motivation of the children involved and support provided by their parents and friends. Further study need to be performed under the condition that the weight control progrom is applied for a longer period.
The objective of this study is to improve the health related quality of life through the efficient weight reduction by analyzing the ecological factors related to completion of weight reduction program in the obese premenopausal women aged 20-29 years. The factors influencing completion of obesity management programs in the obese women were the preferences of sweet and salt taste, health related quality of life (general health, role emotional), eating attitude scores, and regularity of mealtime scores. The finding that the completion of obese management programme were improved if the health-related quality of life was high and the physiological status related symptoms of stress, depress, and eating disorder were good has implications for the treatment of obesity. The questionnaire used this study can be available to develop the obesity assessment sheets which is required the exploration of the characteristics of obese women and the tailored multi-disciplinary obesity management program. Moreover, the obesity assessment sheets will make a contribution to determine types of the programs that is suitable for obesity women before starting an obesity management program.
Objectives: The present study examined relationships between socioeconomic status (SES) and obesity and body mass index (BMI) as well as the effects of health-related behavioral and psychological factors on the relationships. Methods: A cross-sectional population-based study was conducted on Korean adults aged 20 to 79 years using data from the 2001, 2005, and 2007 to 2009 Korea National Health and Nutrition Examination Survey. Multivariate logistic and linear regression models were used to estimate odds ratios of obesity and mean differences in BMI, respectively, across SES levels after controlling for health-related behavioral and psychological factors. Results: We observed significant gender-specific relationships of SES with obesity and BMI after adjusting for all covariates. In men, income, but not education, showed a slightly positive association with BMI (p<0.05 in 2001 and 2005). In women, education, but not income, was inversely associated with both obesity and BMI (p<0.0001 in all datasets). These relationships were attenuated with adjusting for health-related behavioral factors, not for psychological factors. Conclusions: Results confirmed gender-specific disparities in the associations of SES with obesity and BMI among adult Korean population. Focusing on intervention for health-related behaviors may be effective to reduce social inequalities in obesity.
Background: Muscle undergoes change continuously with aging. Sarcopenia, in which muscle mass decrease with aging, is associated with various diseases, the risk of falling, and the deterioration of quality of life. Obesity and sarcopenia also have a synergy effect on the disease of the older adults. Objects: This study examined the risk factors for sarcopenia, sarcopenic obesity, and sarcopenia without obesity and developed prediction models. Methods: This machine-learning study used the 2008-2011 Korea National Health and Nutrition Examination Surveys in the analysis. After data curation, 5,563 older participants were selected, of whom 1,169 had sarcopenia, 538 had sarcopenic obesity, and 631 had sarcopenia without obesity; the remaining 4,394 were normal. Decision tree and random forest models were used to identify risk factors. Results: The risk factors for sarcopenia chosen by both methods were body mass index (BMI) and duration of moderate physical activity; those for sarcopenic obesity were sex, BMI, and duration of moderate physical activity; and those for sarcopenia without obesity were BMI and sex. The areas under the receiver operating characteristic curves of all prediction models exceeded 0.75. BMI could predict sarcopenia-related disease. Conclusion: Risk factors for sarcopenia-related diseases should be identified and programs for sarcopenia-related disease prevention should be developed. Data-mining research using population data should be conducted to enhance the effectiveness of early treatment for people with sarcopenia-related diseases through predictive models.
Objectives: Excess sodium intake has been linked to obesity and obesity-related indices. However, the scientific evidence for this association is inadequate. The purpose of this study was to investigate the association between urinary sodium excretion and obesity-related indices among Korean adults. Methods: A convenience sample of 120 subjects (60 obese and 60 non-obese subjects) were recruited applying frequency matching for sex and age between two groups. Sodium intake level was assessed through 24-hour urine collection. Obesity-related metabolic risk factors, including fasting blood lipid indices, subcutaneous and visceral fat through computed tomography (CT), insulin resistance indices, blood pressure and liver enzymes were measured in all subjects. These obesity-related metabolic risk factors were compared between obese and non-obese group according to sodium excretion levels (<110 mEq/day, 110~180 mEq/day, >180 mEq/day). Results: After adjusting for age, gender, health behaviors (smoking, exercise, drinking), and energy intake, several obesity-related metabolic risk factors, including abdominal circumference, body fat percentage, subcutaneous and visceral fat, triglyceride, and systolic blood pressure were found to be significantly deteriorated as the sodium excretion level increases. In addition, multivariate adjusted-odds ratios of abdominal obesity, high blood triglyceride, and high blood pressure were found significantly higher in the highest sodium excretion group compared to the lowest group. The mean number of metabolic syndrome risk factors was also significantly greater in the highest sodium excretion group than in the lowest group. Conclusions: The current study findings suggested that high sodium intake can affect obesity and metabolic syndrome risk negatively, implying the necessity of future research on low-sodium diet intervention in relation to obesity and related health problems.
This study was performed to develop a tailored multi-disciplinary obesity management program, as well as an obesity assessment sheet identified the general characteristics and psychological and environmental factors related to weight loss success for obese premenopausal women participating in obesity management programs performed at weight reduction health centers. The results are as follows. The primary general characteristics related to successful weight reduction in the obesity management programs were education level, occupational status, reason for obesity onset, aids used in weight control, basis of frequency, and reason for weight reduction. The initial psychological factors related to successful weight reduction were less stress and disordered eating. The initial environmental factors included an expression of ones opinion and the eating environment. Animal protein and animal fat consumption were significantly less in the unsuccessful group than in those who were unsuccessful at weight loss. The consumption of crude fiber was significantly greater in the successful group than in the unsuccessful group. Psychological factors such as stress, depression, and disordered eating, and the environmental factor of eating environment were significantly better in the successful group than in the unsuccessful group. In conclusion, we have found evidence to suggest what is required in determining the types of programs most suitable for obese women prior to starting an obesity management program.
Purpose: The aims of this study were to identify prevalence and identify factors related to sarcopenic obesity among community-dwelling elderly women. Methods: This is a secondary analysis of the prospective cohort study. Our analysis included 338 elderly women (${\geq}65$ years old) in South Korea as a part of the Community-dwelling Older Adult Health Cohort (COHC) Study (2014-2015). Sarcopenic obesity was defined as the Asian Working Group of Sarcopenia recommendations and upper two quintiles for percentage body fat. Logistic regression analysis was used to determine the factors related to sarcopenic obesity including chronic diseases, medications, stress, fatigue, depression, exercise, level of proteins on body compositions, smoking, and alcohol use. Results: The prevalence of sarcopenic obesity was 6.2%. A lower protein on body compositions (OR 0.017, 95% CI 0.003-0.081, p< .001), a larger number of medications (OR 2.104, 95% CI 1.404-3.152, p< .001), and a higher level of fatigue (OR 1.255, 95% CI 1.023-1.541, p= .030) were related factors of sarcopenic obesity. Conclusion: The findings suggest that nutritional interventions focusing on protein intakes should be needed to prevent sarcopenic obesity among the elderly women. Polypharmacy issue for preventing adverse outcomes and level of fatigue as indicator for early identification are also considered to develop community prevention programs.
Purpose: Several health behavior factors affect the incidence of type 2 diabetes. Especially, obesity, which causes insulin resistance, is the most important determinant of diabetes. Therefore, we expect the risk factors associated with insulin resistance and type 2 diabetes are affected by obesity and, additionally, the related factors with diabetes caused by obesity can be controlled. Methods: This study used data collected from the 2001 Korea National Health and Nutrition Examination Survey (KNHANES). A stratified multistage probability sampling method was applied and the final sample included 5,500 subjects over 30 years old who had completed necessary health examinations and health behaviors survey. Results: The risk factors associated with type 2 diabetes are affected by obesity. According to logistic regression model stratified by body mass index (BMI) and sex, abdominal obesity and age were the significant risk factors of diabetes regardless of sex and BMI. However, drinking, smoking, total energy consumption, and protein consumption were risk factors for women with normal BMI, while carbohydrate consumption was a risk factor for man with normal BMI. Sleeping hours affected diabetes for women with obesity and fiber consumption was a risk factor for both women and men with obesity. In addition, statistically the family history of diabetes was a significant risk factor only in the group with normal weight, not in the group with obesity. Conclusion: The study results will provide information for implementing a regional initiative of type 2 diabetes prevention by BMI.
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