This study has analyzed the association of physical activity and television watching time with obesity in 30-50 aged women from middle income town in Busan city area. Data were obtained using a questionnaire, including information about physical activity, TV watching time and health habit; social data regarding educational level and monthly income; family history of chronic condition. Height and weight were measured. Outcome variable was obesity, defined as a body mass index 25 kg/m$^2$ or greater. Odds ratios (OR) for obesity were estimated by multivariate logistic regression, and interpreted as a relative risk of obesity. The prevalence of obesity was 11.8%. The mean BMI of obese women was 26.9 kg/m$^2$. The OR of obesity was higher in subject of 40s than 30s. Subjects who had higher educational level presented lower OR than those of elementary or middle school education. Family income was not associated with obesity. Women having a family history of chronic condition had higher risk of obesity than those who did not have it. The OR was lower in active people at work (OR = 0.51; 95% CI = 0.26 - 0.98) than in inactive ones, and the ORs associated with regular exercise or activity at leisure time were not statistically different. However, subjects watching TV $\geq$ 3.5 hr/day showed higher OR (OR = 2.34; 95% CI = 1.16 - 4.74), compared with those watching TV $\geq$ 1.5 hr/day. Association of the joint classification of physical activity variables with obesity was estimated. The highest relative risk of 5.99 was in women in physically inactive at work and high category of TV watching ($\geq$ 3.5 hr/day). Even in women in active at work, the watching TV $\geq$ 3.5 hr/day made them have the high OR (OR = 2.44; 95% CI = 1.03 - 5.77). And at each time level of TV watching, the increasing activity level at work was associated with lower OR for obesity. These findings suggest that both TV watching time and physical activity at work were related to obesity in adult female, each with independent effects on obesity. TV watching time seems to be a significant factor that could partly evaluate the energy expenditure.
The prevalence of obesity has been increasing worldwide. Several dietary treatments have been suggested to control weight, and recent guidelines recommend individualizing the composition of macronutrients. Carbohydrates are the most important nutrients in meals, and carbohydrate restriction is a dietary strategy that promotes weight loss. A low-carbohydrate diet is effective for short-term weight loss and can help improve glycated hemoglobin, systolic blood pressure, diastolic blood pressure, and triglyceride levels; however, the long-term effects and safety of this diet remains doubtful. In the short term, there is a risk of gastrointestinal symptoms such as vomiting, diarrhea, constipation, and gastroesophageal reflux, and type 1 diabetes patients are at risk of severe hypoglycemia, while in the long term, it can lead to malnutrition and decreased exercise capacity. Thus, rather than limiting the intake of carbohydrates, it is important to limit the intake of refined grains, sugar, honey, syrup, and sweetened beverages while maintaining the planned carbohydrate intake rate and improving meal quality.
Purpose : Obesity is, along with metabolic syndrome, closely related with nonalcoholic fatty liver disease. This study tried to evaluate the prevalence of nonalcoholic liver disease in obese children and verify the factors associated with the disease. Methods : Two hundred and seventy nine children who showed a body mass index of 95 percentile over the baseline in health examinations of surrounding schools were evaluated. Questionnaires, body measurements, blood examinations, and ultrasonographic measurements of abdominal fat were examined. Results : Out of 279 children enrolled for the study, 27 children were found to possess nonalcoholic liver disease(9.7%). Among those found to be positive for nonalcoholic liver disease, it's prevalence increased to 15.2%(22 out of 144 children) among children with severe obesity. Factors known to be involved with metabolic syndrome, namely waist/hip circumference ratio and thickness of abdominal fat, were found to be closely related to nonalcoholic fatty liver as well. Conclusion : The prevalence of nonalcoholic fatty liver in obese children was 9.7%, with higher incidence observable in severer obesity. Factors responsible for metabolic syndrome were closely associated with nonalcoholic fatty liver disease, and the level of insulin resistance, which is an useful index in both diseases, can be utilized in evaluation of the effect of treatment and control of risk factors.
The rapid rise in the incidence of obesity has emerged as one of the most pressing global public health issues in recent years. The underlying etiological causes of obesity, whether behavioral, environmental, genetic, or a combination of several of them, have not been completely elucidated. The obesity epidemic has been attributed to the ready availability, abundance, and overconsumption of high-energy content food. We determined here by Pearson's correlation the relationship between food type consumption and rising obesity using the loss-adjusted food availability data from the United States Department of Agriculture (USDA) Economic Research Services (ERS) as well as the obesity prevalence data from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey (NHANES) at the Centers for Disease Control and Prevention (CDC). Our analysis showed that total calorie intake and consumption of high fructose com syrup (HFCS) did not correlate with rising obesity trends. Intake of other major food types, including chicken, dairy fats, salad and cooking oils, and cheese also did not correlate with obesity trends. However, our results surprisingly revealed that consumption of com products correlated with rising obesity and was independent of gender and race/ethnicity among population dynamics in the U.S. Therefore, we were able to demonstrate a novel link between the consumption of com products and rising obesity trends that has not been previously attributed to the obesity epidemic. This correlation coincides with the introduction of bioengineered corns into the human food chain, thus raising a new hypothesis that should be tested in molecular and animal models of obesity.
Park, So-Yong;Park, Jong-Won;Oh, Yeon-Mok;Rhee, Yang-Keun;Lee, Young-Mok;Park, Yong-Bum;Lim, Seong-Yong
Tuberculosis and Respiratory Diseases
/
v.71
no.1
/
pp.24-29
/
2011
Background: The rising prevalence of asthma worldwide may be associated with the rising prevalence of obesity in developed nations. Although several studies have suggested a relationship between asthma and obesity, controversy still remains. The aim of this study was to examine the relationship between obesity and asthmatic factors such as atopy, eosinophilia, serum total Ig E and bronchial hyperresponsiveness in chronic cough patients. Methods: This study was a retrospective, observational study in two centers done between January 2007 and June 2008. The subjects included individuals who had a chronic cough. We examined body mass index (BMI) to measure obesity and pulmonary function. We did a metacholine provocation test for airway hyperresponsiveness (AHR), a skin prick test for atopy, and tests for blood eosinophils and serum IgE. Results: A total of 1022 subjects were included. Airway hyperresponsiveness was not related with obesity (p=0.06), and atopy incidence was significant higher in non obese patients (p=0.00). There was no significant difference in serum IgE and blood eosinophil counts between obese and non obese patients. Forced expiratory volue in one second ($FEV_1$)/forced vital capacity (FVC) was significantly reduced in obese patients (p=0.03), but FEV1 and FVC were no significant difference between obese and non obese patients. Conclusion: There is no relationship between obesity and bronchial hyperresponsiveness. The nonobese group appears to have more atopy. The relationship between obesity and bronchial hyperresponsiveness and atopy need further investigation.
Background: This study was to analyze gender differences in health status, health behaviors and disease prevalence of multi-cultural family in order to contribute to health promotion of them. Methods: This study used raw data from the Korea Community Health Survey(KCHS) which was performed in 2015. Among them, 3,045 multi-cultural family members were included in this study. Data was analyzed using SPSS 21.0 for descriptive statistics, t test, Chi-square test, and Pearson's correlation coefficients. Results: According to gender, depression and subjective health were different in health status. High risk drinking, hypertension, dyslipidemia, arthritis, and obesity prevalence rate were higher in males than females significantly(p<.001). Conclusion: Based on the study results, it is necessary to establish a public health care program to improve health and welfare of multi-cultural families.
Purpose: Obesity is one of the most common health problems among children and its prevalence has increased in recent decades. Socioeconomic status (SES) is a well-known risk factor for childhood obesity although the associations were different across countries. Previous studies in other countries have reported a positive association between childhood obesity and SES in developing countries, and inverse correlation has been reported in developed countries. For this reason, we wanted to investigate the relationship between SES and obesity in Korean children. Methods: Data were acquired 3,095 boys and girls who participated in the fifth Korea National Health and Nutrition Examination Survey, which was conducted from 2010 to 2012. Body mass index was calculated from measured anthropometric data using the 2007 Korean National Growth Charts. Results: Upon univariate analysis, we did not find any statistically significant differences in the parental employment status, monthly family income between children with and without obesity. Multiple logistic regression analysis showed childhood obesity was positively associated with maternal overweight (OR, 1.889; 95% CI, 1.079-3.309), maternal obesity (OR, 3.409; 95% CI, 2.228-5.215) and paternal obesity (OR, 2.135; 95% CI, 1.257-3.627). Conclusion: The present study showed that socioeconomic status might not an important risk factor for obesity in Korean children. These results warrant further studies to clarify the association between SES and obesity in Korean children.
Background Abdominal obesity, a major public health concern, is related to many health problems. In addition, it is influenced by individual characteristics. We investigated sleep quality and physical activity (PA) as risk factors for abdominal obesity, according to the Sasang constitutional medicine. Methods In this cross-sectional study, we analyzed data from 5,221 community-based participants. Sleep quality and PA were measured using structured questionnaires, and abdominal obesity was classified according to waist circumference. Sasang constitution (SC) was classified as Taeeumin (TE), Soeumin (SE), or Soyangin (SY) type, using an established SC questionnaire. Chi-square test and logistic regression analysis were performed to access the association of sleep quality and PA with abdominal obesity in individuals stratified according to the SC types. Results The percentage of poor sleep quality and inactive PA was the highest in the SE type, and the higher prevalence of abdominal obesity was found in the TE type. After adjusting for variables, inactive PA was associated with abdominal obesity in the TE type (OR=1.694, 95% CI=1.42-2.021), and in the SE type, abdominal obesity was associated with poor sleep quality (OR=1.688, 95% CI=1.091-2.611) and low PA (OR=2.127, 95% CI=1.163-3.89). Moreover, the combination of these two factors were also significantly associated with abdominal obesity in the TE and SE types. Conclusion Abdominal obesity was associated with sleep quality and PA, and these results were different in each SC type. Taking various associated lifestyles and individual characteristics in consideration may contribute to better management of abdominal obesity in clinical practice.
The prevalence of obesity and overweight is increasing in mood disorder, and it is connected to an increased cardiovascular mortality. Because of them, treatment for obesity may be an essential part of mood disorder treatment. Similar to the general population, non-pharmacological treatment such as correction of life habits should be considered first of all. If this approaches are fail, pharmacological treatment for obesity would be required as next step. Any drug for obesity is not approved officially in mood disorder. So approved drugs in general population, and drugs supported by several studies are prescribed in clinical settings. Several treatment guidelines for mood disorder and studies support that orlistat, metformin, topiramate and bupropion is effective and safe.
Objectives: The aim of this study was to examine the relationship between periodontitis, obesity, and health behavior according to sex and age in Korean adults. Methods: Data on 11,032 adults aged 19-79 years were obtained from the 7th Korea National Health and Nutrition Examination Survey (KNHNES). We used multivariate logistic regression analysis to test for associations. Results: The final model that was adjusted for demographic characteristics and health status, showed a higher risk of periodontitis with increasing body mass index (BMI), smoking, failure to use oral care products, and no dental check up. In the sub-group analysis, only smoking was significant in the 19 to 39-year-old age groups. In the 40 to 64-year-old age group, a BMI of 30 or higher, and smoking, use of oral care products, and dental check-up were significantly associated with periodontitis. In the female group, BMI, smoking, use of oral care products, and dental check-up were significantly related to periodontitis. However, in males, only smoking was significant. Conclusions: Obesity management can be helpful for periodontal health as periodontitis prevalence in adults increased as BMI increased. For periodontal health, an oral health program should include smoking cessation and the use of oral care products and dental check up as part of obesity management.
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