A sample of 450 women who attended a physical fitness program in the Ulsan area was selected to study some environmental factors associated with obesity. The women were grouped into two categories, obese and nonobese, based on body mass index(kg/$m^2$). Average BMI of the total subjects was 24.3$\pm$4.8, but 34.7% of the subjects rated equal to or ore than 25 type, which can be considered as obese. The results showed that age, employment status, family type, and food frequency score have a statistically significant association with obesity. However, education level, nutrition knowledge, availability of housemaids, family history of obesity, and house type are not related to obesity . There were no differences in sources of nutrition information between the obese and the nonobese. The above results suggest that health education programs should consider environmental factors as well as health factors in preventing obesity obesity in the community.
Objectives The purpose of this study was to investigate the characteristics in obesity classification group of college students having health checkup by analyzing their BMI and blood test and determine the association between factors contributing to obesity and obesity according to BMI. Methods A group of 2992 test subjects took their medical examination and their body composition, height, weight, blood pressure were measured and blood test was done. With these results we diagnosed obesity, and analysed relationship between obesity and cholesterol, triglyceride, LDL (low density lipoprotein)-cholesterol, HDL (high density lipoprotein)-cholesterol, liver function, renal function and blood pressure. Results 1. Overweight individuals showed high total cholesterol, LDL-cholesterol, triglyceride, GOT (glutamic oxalacetic transaminase), GPT (glutamic pyruvate transaminase), Urea-nitrogen, Creatinine and low HDL-cholesterol. 2. BMI showed a significant association with other factors. BMI has a negative correlation with sex and HDL-cholesterol. BMI had positive correlations with other factors. 3. There was no relation between BMI and sex. Those six factors, liver function, cholesterol, blood pressure, kidney function, neutral fat, and blood sugar were related to BMI. Conclusions There was a significant relation between college students' BMI and their liver function, cholesterol, blood pressure, kidney function, neutral fat, and blood sugar. The diseases related to liver function, cholesterol, blood pressure, kidney function, neutral fat, and blood sugar were clearly associated with obesity.
Weight gain is defined as the increase in body weight, increasing the prevalence of obesity, and results in metabolic diseases. Weight gain was reportedly caused by the interaction between the obesogenic environmental factors and individual metabolic factors. Sociodemographic and environmental factors (demographic factors, lifestyle/behavioral factors, food/nutritional factors, socioeconomic factors), drug-related secondary causes (some of the corticosteroids, antihyperglycemics, antihypertensives, antidepressants, etc.), and metabolic factors (aging and hormonal changes, menopause and decreased sex hormones, decreased adipocyte degradation, decreased fibroblast growth factor 21, central sympathetic nervous system hyperactivity, decreased sympathetic-adrenomedullary system activity) are significant factors related to weight gain. It is crucial to prevent weight gain and maintain an ideal weight, but studies on the risk factors of weight gain are insufficient. Therefore, this study evaluated the factors associated with weight gain to find strategies for preventing unnecessary weight gain.
Objectives: The objective of this study was to identify factors associated with adolescent obesity, as well as any new factors that correlated with a change in the rate of obesity over time. Methods: The study used 5-yearly data collected by the Korea Youth Risk Behavior Survey starting from the year 2006 up until 2021 (data from 2nd, 7th, 11th, and 17th surveys were analyzed). Factors such as demographics, dietary factors, health behavioral factors, and mental health factors were studied. All data were analyzed using IBM SPSS 27.0, employing chi-square tests and multiple logistic regression analysis. Results: This study included data from a total of 255,200 participants. Factors contributing to obesity varied with time. Over the survey duration of 15 years, low academic achievement, parents with low levels of education, low frequency of fruit consumption, low frequency of fast food intake, long periods of being seated, and high levels of stress were significantly associated with a high rate of obesity. Factors that showed a new correlation with an increase in obesity rates included living with single parents, low frequency of muscle strengthening exercises, and experiencing intense sadness and despair in the past year. Factors that were correlated with a change in obesity rates over time included household economic status, frequency of carbonated beverage consumption, frequency of intense physical activity, and frequency of alcohol consumption. Breakfast intake and smoking were not significantly associated with obesity rates in the 15-year period. Conclusions: While several factors associated with obesity remained consistent over time, several new factors have emerged in response to social, economic, and environmental changes contributed to a change in obesity rate over time. Therefore, to prevent and manage adolescent obesity, continuous research into the new emergent factors contributing to obesity is needed.
The purpose of this study was to investigate the relationship of body mass index with environmental and dietary factors including nutrition knowledge, and nutrition attitude of Korean adolescents. Anthropometric measurements, questionnaire responses, and 24-hour dietary records of 531 elementary, 543 middle, and 533 high school students residing in Seoul and Kyunggi-do were collected. Data was analysed using SAS computer program. The results are as follows. Mean BMI of elementary school boys was higher than that of girls. However, there were no significant differences in mean BMI between sexes both in middle and high school students. Calcium and iron consumption were lowest among elementary and middle school students, respectively when the intake was expressed as a percentage of the Korean RDA. Energy, protein, vitamin A, vitamin B$_1$, vitamin B$_2$, niacin, and vitamin C intakes(% RDA) were lowest among high school students. The factors influencing BMI of elementary students were BMI of the parents in boys, and BMI of the father in girls. In middle school students, energy intake, fathers BMI, mothers nutrition knowledge and students BMI, and nutrition knowledge were related to the obesity indices of boys, while fathers and mothers BMI were related to the mean obesity index of girls. In high school students, nutrition knowledge and mothers nutrition attitude were related to the obesity index of boys, while BMI of parents was related to the obesity index of girls. In conclusion, mothers and fathers BMI were the most common factors influencing the BMI of these adolescents. Although these results can not determine if food behaviour directly affects BMI, it may influence the BMIs of family members, and therefore nutrition education to keep normal weight and desiradle food habits should be emphasized. More systematic studies to investigate the cause-effect relations of these factors are required.
The objectives of this study were to classify body types of 40s, 50s, 60s obese women according to body measurements and to investigate relationships between age and body types of obese women. Body measurement was made on 497 obese women in their 40s, 50s, 60s whose BMI (Body Mass Index) was 25.0 or more when directly measured in 'Size Korea 2004'. Data were analyzed through factor analysis, cluster analysis, Pearson's correlation coefficient, $X^2$-test, t-test, one-way analysis of variance, and Duncan's multiple range test. First. the obesity group with BMI being 25.0-30.0 was composed of 23.1% subjects in their 40s, 43.3% subjects in their 50s, and 50.0% subjects in their 60th, which demonstrates that the older subjects were, the higher the distribution was. Adding the high obesity group with BMI being more than 30.0 to the obesity group, women in their 60s were 56.7%, the most of obese bodies. Second, factor analysis of obese women's BMIs revealed that five factors were elicited, including upper-body circumference related factor, height related factor, lower-body circumference related factor, upper-body width related factor, and upper-body related factor. As a result of analyzing the clusters, three types of body shapes were classified including upper-lower obesity, upper obesity, and lower obesity. Third, obese women were thicker or wider than non-obese individuals in those factors including upper-body circumference, lower-body circumference, and body width, and longer in upper-body length, while non-obese individuals were higher or longer than obese individuals in height related factors.
This study was accomplished to investigate the prevalence of obesity and the factors related to obesity of high school girls in the large cities from May 20 to July 10 1990. In this study, three hundred eighty nine high school girls were chosen from high schools located in Seoul and Inchon. Anthropometry including weight, height, and skinfold thickness (triceps) were measured, and dietary intakes were calculated according to food composition tables. Means of the obesity index, food pattern, nutrients intakes were compared by Pearson's correlation coefficient. Nutrient intakes of the groups categorized by tricep skinfold thickness were compared by means of Duncan's multiple range test. Prevalence of obesity was 16.7%, 3.6%, and 20.8% by criteria of skinflod thickness, BMI, and Rohrer Index, respectively. Most of the subjects had three meals and took snacks two times per day 23.9% of the subjects were taking nutrient supplements of which vitamin supplement was the most popular. Food habit of subjects such as frequency of snack and bedtime meal were positively related to fatness. Nutrient intakes of the obese groups classified by tricep skinfold thickness, tended to consume more calories than another tricep category groups. Therefore, it could be concluded that prevalence of obesity in this subject was higher than the one for the past years, and it was more profound in girls who had a poor food habits and high calorie intakes. Thus, these results suggested that a good food habits and adequate nutrient intakes are essential to prevent the obesity of high school girls.
Najafi, Farid;Pasdar, Yahya;Hamzeh, Behrooz;Rezaei, Satar;Nazar, Mehdi Moradi;Soofi, Moslem
Journal of Preventive Medicine and Public Health
/
제51권6호
/
pp.289-297
/
2018
Objectives: Obesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran. Methods: A total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ${\geq}30kg/m^2$. The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity. Results: Overall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity. Conclusions: Socioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.
Objectives: People often fail to maintain their weight even though they have succeeded in weight loss. The purpose of this study was to review previously published study results with regards to the predictive factors associated with weight loss maintenance after successful weight loss. Methods: The authors searched for the articles related to weight loss maintenance after successful weight loss, published up until June 2019 on PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Research Information Sharing Service (RISS), and Koreanstudies Information Service System (KISS). A total of 76 articles were finally selected. From the study results, changeable and unchangeable predictors were extracted, and these predictors were examined according to detailed categories. Results: The changeable predictors of weight loss maintenance included behavioral factors, psychological factors and treatment process-related factors, whereas the unchangeable predictors included genetic and physiological factors, demographic factors, history of treatment on obesity-related factors. The main factors of weight loss maintenance were changeable predictors such as healthy eating habits, dietary intake control, binge eating control, regular exercise and physical activity, depression and stress control, social supports, self-regulation, self-weighing and initial weight loss and unchangeable predictors such as low initial weight and maximum lifetime weight. Conclusions: The results of our review results suggest that changeable and unchangeable predictors of weight loss maintenance should be carefully examined during treatments of obesity.
Objectives: The aim of this study was to investigate the correlation between the obesity rate in elementary school students in Daejeon and the relevant factors such as social-demographical factors, genetic factors, birth factors, diet factors and intelligence factors. Methods: For the research, 443 fourth grade students, 405 fifth grade students and 417 sixth grade students from six elementary schools in Daejeon Metropolitan City Participated in this study and classified into three groups: normal-weight group, mild obesity group, and moderate or severe obesity group. Results: The total obesity rate of the elementary school students in the school district of Daejeon Metropolitan City was 14.2%; the rate of mild obesity was 7.2%; the rate of moderate obesity was 5.5%; and the rate of severe obesity was 1.5%. The obesity rate of surveyed boys was 16.9%, and the obesity rate of girls was 11.1%. The significant factors for girls' obesity were fathers' EMI, mothers' EMI, living standards, constant demand of foods, preference for greasy foods, frequency of eating snacks, and daily walking hours. It was found that students' subjective mind and objective health index were related to obesity. In the case of obese students, they had more concern about their health and more stress from the dissatisfaction of their physical appearance than normal students. Conclusions: From the above evidences, it is apparent that the obesity of elementary school students has strong relations with eating habits rather than physical activities. It is to be hoped that obesity prevention programs such as effective meal guidance. parental guidance for watching TV, and intense physical activities will be included in the curriculums of health education for elementary school students.
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