Purpose: The purpose of this study was to investigate the relationships between the herbal medicines used for women in puerperium on postpartum care, Kami-Saenghwatang(SHT) and Kami-Bohertang(BHT) and postpartum body composition change. We also examined the influence of gestational age, the number of parity and the route of delivery for gestational weight gain and postpartum weight loss. Methods: 239 women followed by postpartum care center. Variety factor s were conformed and then checked body composition analysis. 8 weeks later, we followed up body composition of 36 women among the former checked. and additionally asked the body weight of another 42 former checked women by telephone call. Results: $Mean{\pm}S.D$(standard deviation) of pre-pregnancy weight is $55.22{\pm}8.98kg$, $Mean{\pm}S.D$ of gestational maximun weight is $69.26{\pm}9.77kg$, $Mean{\pm}S.D$ of weight loss in postpartum 8 weeks(means sub-tract postpartum 1 week weight from postpartum 8 week weight) is $57.86{\pm}8.60kg$. The number of parities had corrrelation with gestational weight gain. Age, number of parities and route of delive were not significantly correlated with postpartum weight loss during 8 weeks after delivery, and also it was not correlated with body water mass, body fat mass, body mass index and body weight on postpartum 8 weeks whether they treated with SHT and BHT. conclusion: It was not correlated with body water mass, body fat mass, body mass index and body weight on 8 weeks postpartum whether they treated with SHT and BHT.
Correlations among body weight and sociodemographic factors, including life - style were tested as social determinants of health in a sample of 5,201 adults in Korea. The aim of this study was to determine the extent to which sociodemographic variables and life-style associated health behaviors explain body weight distribution. A second aim was to explain the relation of body weight and health status to stress the importance of body weight as an early risk indicator of health status. The canonical correlation between the weight distribution(underweight and overweight) and the independent variables was 0.29, 17% of the total variance was explained. Perceived health level represented the highest contribution(canonical coefficient 0.82) to body weight. Sociodemographic factors such as sex, economic status, and life-style factors such as smoking, exercise, regular meais and sleep showed comparatively high contributions to body weight. The relevance of body weight for health status including the rate of chronic disease and the rate of medical utilization was significant. Especially, underweight was clarified as being mere important than overweight to morbidity level and medical utilization. These findings suggest that perceived body weight is an important indicator of health status and is thus a valuable variable to be considered for nursing intervention and health education related to the promotion of health.
The principal objective of this study was to assess the weight control behavior, body shape satisfaction, and obesity stress depending on the degree of obesity in college students who applied for a weight control program. The average BMI of the participants was $21.4\;kg/m^2$ which was in the normal range, and 76.3% of the participants were of normal body weight. Ideal BMI in this participant was $18.1\;kg/m^2$, which is in the underweight range. In terms of body perception, participants generally overestimated their body weight. The overweight and normal weight groups were less satisfied with their body shape than was the underweight group. The overweight group also expressed fears of showing their bodies to others. Additionally, the overweight and normal groups exhibited higher obesity stress than the underweight group. 97.0% of participants were interested in weight control as a way to improve their appearance. They usually obtained their weight control information from the internet and mass media. More than 80% of participants had weight control experience, having undergone weight control attempts for duration of less than a month. However, after the discontinuation of weight control efforts, these participants regained the weight. As a consequence, they were generally unsatisfied with the outcomes of weight control programs. This study demonstrated that the college women who had applied for the weight control program were unsatisfied with their body shape owing to distorted notions of the ideal body shape, and these women had generally undertaken frequent efforts to control their body weights. These results underline the importance of educating college-aged women on proper body perception and the maintenance of healthy body weight and shape.
Purpose: This study was to investigate the correlation among body weight, body composition, delivery method, parity, weight gain during pregnancy and obesity before pregnancy of patients who received postpartum care in one oriental medicine hospital. Mothods: From September 1, 2009 to August 31, 2008, we included 34 postpartum patients who had body composition analysis when admission and discharge among 47 postpartum patients who were hospitalized and received postpartum care in $\bigcirc\bigcirc$ University $\bigcirc\bigcirc$ Hospital. We used SPSS 14.0 for window to test for statistical significance. Results: After postpartum care, body weight and BMI of mothers was significantly decreased and the weight loss was almost body water. Mothers who had cesarean section had relatively severe edema and mothers who had been overweight before pregnancy had high BMI, body fat and abdominal fat. After delivery, body fat percentage was increased highly and body weight retention lasted long in mothers who had gained over 12.5kg during pregnancy. Conclusion: Living habits including diet has a significant effect on weight change of mothers during early puerperium, therefore it is required to teach mothers about breast-feeding, diet, and exercise to help their weight return to normal.
Purpose: the purposes of this study were: to contribute to maintaining and promoting health for female college students by identifying their body weight control behaviors and the Affecting factors; and, to serve as a basis for the development of weight control programs to orient their weight management to a desirable direction specifically for those who have low or normal body weight but still practice body weight control in a way that is neither useful nor desirable. Method: The data were analyzed by the SPSS/PC 10.0 statistical program using frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient, and the Stepwise multiple regression. Result: The main predictive factors affecting body weight control was 'between - meal snack', 'family support', 'satisfaction with their diet', 'possession of secret method for weight loss', 'body image', 'satisfaction with university life', and 'interest in weight control'. Conclusion: It may be necessary to develope educational programs on weight control for female collegians in consideration of affecting body weight control behavior.
This study was performed to investigate correlation between total body weight loss and local sweat rate and to find out any possible method that can estimate total body weight loss judging from local sweat rate. Twelve adult females were kept at 44 $\pm1^{\circ}C$, 50 ${\pm}5\%$ R.H. (1) Physiological responses such as total body weight loss, local sweat rate, rectal temperature, skin temperature, blood pressure and pulse, (2) micro climate inside garment and (3) subjective sensation were examined. Two types of garment such as long-sleeves with long pants (Type I) and half·sleeves with short pants (Type II) were used to observe the effect of garment types on sweating response. Both clothing weight was equal (132$\pm$3 g/$m^{2}$). The results were as follows: 1. Regardless of the different types, total body weight loss was more interrelated with the sweat rate on forehead than any other parts of the body. Except the forehead, different parts of body with different types of garment influenced on body weight loss quite differently. 2. Total body weight loss was more interrelated with the weight gain of garment than the local sweat rate. 3. Under the environment of 44$\pm1^{\circ}C,\;50{\pm}5\%$R.H., body weight loss during 1 hour of subject clothed and silted was 275.2 g/hr and weight loss per body surface area was 178.9 g/$m^{2}/hr$ Garment types have no influences on total body weight loss. 4. Local sweat rate (mg/7.07 $cm^{2}/hr$) was 208.0,191.0, 133.0, 115.0,81 0, 75.1 and 66.3 on scruff, breast, forehead, forearm, thigh, upper arm, leg respectively No evidence has been found that garment types influenced on local sweat rate (p<0.1). 5. No interrelationships between rectal temperature and total body weight loss, local skin temperature and total body weight loss, and local skin temperature and local sweat rate were found. From this study, some possible method that we can estimate total body' weight loss judging from weight loss of garment. But considering the fact that clothing design factor, the physical characteristics of fabric and environmental factor such as humidity and wind velocity should be concerned in weight loss of garment, it should be studied further whether the total body weight loss can be estimated properly from the weight loss of garment. This experiment suggest that different parts of body with different types of garment can influence on body weight loss quite differently. Therefore, in order to get more precise results, more studies under the diversity of garment types should be done in the near future.
The purpose of this study is to collect fundamental data for weight control education based on obesity, weight control practices and body image in female college students. Those surveyed were 364 female college students attending universities in Seoul, Kyoung-Gi and Chung Cheung Buk Do. The data were collected from June 1, 1999 to September 10, 1999. The resulting data are as follows: 1. The mean BMI of the female college students was 19.78:t1.87kg/$\textrm{m}^2$, which comes within the range of normal weight. Underweight, normal weight and overweight students were respectively 27.2%, 66.8% and 5.5%. As many as 7.1% of the underweight students and 42.8% of the normal weight students described themselves as being "fatty". 2. Of these subjects, 83.5% reported wanting to lose weight, and the primary reason of weight control was to improve their appearance. The mean weight that they wanted to lose was 5.2$\pm$2.7kg, and 68.7% of the respondents had tried to lose weight. Among them, the most frequently reported weight control behavior was dieting followed by exercise, 30% reported fasting, 3.6% reported using drugs, 4.4% reported smoking and 3.6% reported vomiting. As to the weight loss effect, 96.7% of the subjects used behavior modification, 82.5% of the students exercised, and 76.1% of the dieters reported they had lost weight. 3. As to body image, many female college students were dissatisfied with their body figures, especially thighs(70.3%), hips(60.4%), abdomens(60.2%), and weight(55.2%). The body image of the students that perceived themselves as "fatty" was the lowest. 4. There were significant differences in the mean weight that they wanted to lose and the weight control attempts according to weight perception. Those that perceived themselves as "fatty" wanted to lose more weight, and had more weight control experiences. In conclusion, attempts at weight control are common in the female college students and many students appear to be dissatisfied with their body shapes. It is important to educate about healthy weight control methods and raise their awareness of the positive body image.ss of the positive body image.
Purpose: The aim of this study was to assess the body weight perception of adolescents and to investigate the difference between mental health and weight control behavior according to body weight perception. Methods: Study data on 12-18 years old adolescents with normal BMI was obtained from the 6th Korea National Health and Nutrition Examination Survey (2013-2015). Rao-Scott Chi-square test and ANOVA were used for the analysis. Results: The percentage of adolescents with a misperception of body weight was 43.3%, and their subjective health status (p=.013), stress perception (p=.001), and depression (p=.001) were worse than for adolescents who had the correct perception of their body weight. The percentage of adolescents who were trying to lose weight while perceiving their body weight as normal was 36.9%. Body weight control behavior had significant differences according to dietary intake (frequency of eating dinner (p=.015)), energy intake (p=.004), and carbohydrate intake (p<.001), but there was no significant difference according to exercise. Conclusion: Parents, school teachers, and nurses should make efforts to ensure that Korean adolescents perceive their body weight correctly, and prevent unhealthy weight control behaviors.
This study was conducted to find adolescent females perception of body image. The survey was carried out by self-questionnaires with 463 female school and college students in Daegu. Analysis of data was done using t-test, and ANOVA with the SAS computer program. The average height, weight and BMI of the subjects were 161.2cm, 53.4kg and 20.51kg/$m^2$. It appeared that 33.3% of the subjects were off the normal range of body weight ; in particular 25.1% of the subjects were under weight. While the subjects’perception of their own current body image was not distorted, they were dissatisfied with their body image because they wanted a very thin figure. Subjects were divided into 3 groups -underweight, normal weight, overweight-according to their current body size. Their perceptions of ideal and desired figures differed significantly between the groups, but they thought a thinner figure than normal body image as ideal and desired body image even in overweight group. As a result, dissatisfaction of body image in the overweight group was significantly larger than the normal-weight group, and that of the normal-weight group was larger than the underweight group. Percentages of weight control attempt were 51.7% and 64.7% in the normal weight and underweight subjects, respectively. Subjects were divided into 2 groups according to their weight control experience : those who have attempted, and who have not attempted. Weight control attemptees had a higher level of dissatisfaction with their body image than non-attemptees, both because weight control attemptees were fatter, and they perceived a thinner figure as an ideal and as a desired body image thin non-attemptees. From the results of this study, we confirmed that one of reasons of excessive weight control behavior among adolescent females was distorted perception about ideal body image.
This study was carried out to investigate distribution of obesity, body composition, weight control and dietary behaviors, and to analyze the relationship between Body Mass Index (BMI) and physical characteristics, body composition and dietary behaviors by anthropmetric measurement and questionnaires. The 199 study subjects were divided into 3 age groups; 30's (78), 40's (77) and 50's (44) and 4 groups by BMI ; under weight (4.5%), normal (51.3%), over weight (26.1%) and obese (18.1%). Amount of skeletal muscle, body water, mineral and body fat were significantly increased with BMI. There were especially significant increase skeletal muscle 5.3 kg ($19.1\;{\rightarrow}\;23.5\;kg$), body water 5.3 kg ($26.3\;{\rightarrow}\;31.6\;kg$) and fat 15.2 kg ($11.2\;{\rightarrow}\;26.4\;kg$) from under weight to obesity group, respectively (p < 0.01). There were significantly decreased in the ratio of body water (10.3%), protein (2.7%) and body mineral (1.1%) from under weight to obesity, but significant increase 14.1% in body fat (p < 0.001). About 44.4% of under weight group and 40.1% of normal group and 50% of over and obesity group had dissatisfaction on their body images. Most of the women were concerned about their body images and experienced weight control. Dietary behavior scores of obesity group were significant lower than the other four groups (p < 0.001). There were significant positive correlation between BMI and body water (r = 0.62), protein (r = 0.52), skeletal muscle (r = 0.63), body fat (r = 0.91) and WH ratio (r = 0.91), respectively (p < 0.001). The correlation between BMI and body fat and WH ratio were much higher than the correlation between weight and fat and WH ratio.
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