Background: The risk factors of nocturia in older adults remain unclear. We aimed to investigate factors associated with nocturia using the National Health and Nutrition Examination Survey (NHANES) data. Methods: Among 40,790 participants, 4,698 participants aged ${\geq}65$ years were included from the NHANES dataset between 2005 and 2012. A multivariate logistic regression analysis was performed to determine the odds ratio (OR) for nocturia. A subgroup analysis was conducted based on sex and underlying diseases. Results: In the multivariate logistic regression model, obesity (OR, 1.46; 95% confidence interval [CI], 1.28-1.68), hypertension (OR, 1.28; 95% CI, 1.07-1.52), and diabetes mellitus (DM) (OR, 1.27; 95% CI, 1.11-1.45) were significantly associated with nocturia. These factors were associated with nocturia regardless of sex. In a subgroup of participants with hypertension, obesity (OR, 1.44; 95% CI, 1.25-1.67) and DM (OR, 1.26; 95% CI, 1.09-1.45) were associated with nocturia. In the additional analysis on patients with DM, nocturia was associated with obesity (OR, 1.33; 95% CI, 1.06-1.67) and duration of DM (OR, 1.02; 95% CI, 1.01-1.03). Conclusion: This study demonstrated that hypertension, DM, and obesity were significantly associated with the prevalence of nocturia in older adult patients regardless of sex. In particular, obesity was associated with nocturia in every subgroup analysis.
As with humans, overweight or obesity is a major health concern in the companion animal population. A cross-sectional questionnaire-based survey of dog owners attending primary small animal veterinary practices from different areas in Chuncheon, Kangwon province, Korea was undertaken to explore the relationships between socioeconomic and other relevant risk factors associated with canine obesity. In addition, the author was to estimate the prevalence of obesity compared to published literatures for dogs. Owners were asked about dog age, neuter status, feeding habits, dog exercise, household income and owner age. The body condition score (BCS) of the dogs was also assessed. Multivariable binary logistic regression was used to assess the association between BCS and potential risk factors controlling for confounding variables, using odds ratios (OR), 95% confidence intervals (CIs). A total of 275 dogs (136 males and 139 females) aged 1-12 years (mean age $5.6{\pm}3.7$ years) were surveyed in 2013. Of these, 46.9% of dogs (n = 129) were classed as an ideal body shape (BCS = 3), 30.9% (n = 85) were overweight (BCS = 4), 8.4% (n = 23) were obese (BCS = 5) and 13.8% (n = 38) were underweight (BCS = 1 or 2). Neutered males and spayed females had the highest prevalence of obesity (43.4% and 33.9%); intact females had the lowest prevalence of obesity (31.6%). In univariable model, risk factors associated with canine obesity are multifactorial and include owner income, owner age, age of dog, neuter status, frequency of feeding per day, frequency of snacks and consultation with veterinarian on dog's weight. In final multivariable logistic regression model, dogs whose owners reported no consultation with veterinarians for weight management were significantly more likely to be obesity than ideal (OR = 7.6, 95% CI, 4.2-13.8; p < 0.0001). This study showed a high prevalence of obesity in domestic companion dogs. Since this was a cross-sectional study with small samples, the association of canine obesity with risk factors warrants more research. To the author's best knowledge, this is the first Korean study on dog body condition and obesity.
Purpose: The purpose of this study is to identify the prevalence of the metabolic syndrome (MS) and factors associated with it among elders in a rural community. Methods: Data were collected from 683 subjects with a questionnaire, physical measurement, and blood test. The prevalence of the MS was determined by AHA/NHLBI and waist circumference cutoff points for Koreans. Results: The prevalence of the MS was 50.5% in total (41.6% in men, 56.3% in women) while the prevalence of 5 metabolic risk factors was 67.7% for elevated blood pressure, 51.0% for low HDL-cholesterol, and 50.2% for abdominal obesity. Risk factors associated with the prevalence of the MS included family history, BMI, and physical activity; significant factors associated with that of metabolic components included family history, BMI, smoking, drinking, and physical activity. Especially, a higher BMI was a strong risk factor of the prevalence of abdominal obesity as well as the MS and its components. Conclusion: The findings indicate that nurses should care for elders based on each metabolic component regarding its prevalence level and concentrate primarily on reducing elevated blood pressure, low HDL-cholesterol by controlling the main risk factor, abdominal obesity through lifestyle modification.
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.
Obesity rates are increasing worldwide, associated with excess acute and chronic disease risk. In most countries, obesity rates among women exceed rates in men, particularly during the post menopausal years. Many factors affect body weight and appetite, including age, metabolic rate, physical activity level, stress, cultural factors, socioeconomic status, health status and health literacy, diet composition, attitudes, and beliefs. Gender affects appetite and body weight indirectly by altering factors contributing to food choice. However, there is emerging evidence that gender affects appetite and body weight directly, altering the physiological control systems regulating appetite. The follicular menstrual cycle phase (estrogen-rich) is associated with relative suppression of appetite. Lower estrogen levels are associated with increased food intake, body weight gain, and altered body fat distribution in humans and animals. This paper reviews the linkages between estrogen and appetite regulation. While relationships among appetite, body weight, and gender-linked hormones are complex, research elucidating these interrelationships could lead to development of gender-specific treatment approaches for obesity and appetite dysregulation.
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.
Purpose: This study was performed to identify the socioeconomic factors, the health behavior factors and dietary pattern that have an influence on abdominal obesity, as measured by using the waist circumference in children and adolescents. Methods: This study used data collected from 1998, 2001, 2005 Korean National Health and Nutrition Examination Survey (NHANES). Final sample included 3,596 subjects from 10 to 19 years old who had completed necessary health examinations, health behaviors survey, and nutrition survey. Results: 12 dietary patterns emerged from factor analysis with different factor loading. Logistic regression analysis of the factors that affect abdominal obesity showed that the education level, BMI(Body Mass Index) and dietary pattern, 'Kimchi' including Korean cabbage and radish affected the abdominal obesity in children and adolescents. Conclusions: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify dietary pattern for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease in adults.
Objectives : Psychological comorbidities are high in patients with obesity and are associated with a variety of medical and dietary problems. This study aims to examine the association between psychological factors and obesity. Methods : This study was performed in pre-menopausal obese($BMI{\geq}25kg/m^2$, waist circumference ${\geq}85cm$) women in Seoul, in 2008 (n=35). Every patient underwent the obesity treatment program. The program included dietary and exercise education, and abdominal mesotherapy for 6 weeks. Simple anthropometry including weight, BMI and Computed Tomography (CT) including Subcutaneous adipose tissue (SAT), Visceral adipose tissue (VAT) and Visceral adipose tissue/Subcutaneous adipose tissue ratio (VSR) were done. To assess psychological factors, the Rosenberg self-esteem scale (SES) questionnaire, Beck depression inventory (BDI) questionnaire and stress response inventory(SRI) questionnaire were administered. Results : 1. All of the obesity indicators (except VSR) decreased significantly after the obesity treatment program. 2. There was a significant relationship between self esteem (SES score) and visceral obesity (VAT and VSR) measured at the end of the program. 3. During the intervention, the more weight, BMI, and subcutaneous adipose tissue decreased, the more self-esteem (SES) increased. There was no relationship between depression (BDI) and obesity. And the change in stress response (SRI) was associated with the change of deep subcutaneous adipose tissue and total abdominal adipose tissue. Conclusions : This study proves that visceral obesity may contribute to low self-esteem, and there is a possibility that the other psychological factors could also be related with obesity in Korean obese women. Individualised antiobesity therapy may be required depending on the patient's psychological characteristics and weight loss could be helpful in order to treat psychological problem in obese patients.
Background: Recently, adolescent obesity was increased and tended to become obese adults, facing increased risk for diabetes, cardiovascular disease. Even before reaching adulthood, adolescent obesity already was experiencing hypertension, dyslipidemia, and diabetes mellitus. The purpose of this study was to find prevalence of obesity of high school students in Jeju island and association between obesity and cardiovascular risk factors and association between childhood obesity and adolescent obesity. Method: The study subjects were 6,064 students of twenty-two high school in Jeju island and health survey data was gathered from high school health examination data and hospital health examination data from Aug. 1999 to Dec. 1999. Adolescent obesity was evaluated by ideal body weight method in 1998 and body mass index. Cardiovascular risk factors were checked total cholesterol, systolic and diastolic blood pressure, fasting blood sugar. In 1,534 students, obesity at primary school is checked by primary and middle school health record. Results: Prevalence of obesity in Jeju island high school students is 12.6% in male students, 13.3% in female students by ideal body weight method and 8.7% in male students, 8.5% in female students by body mass index. Prevalence of obesity of male students in city area and district area of Jeju island were each 12.9%, 10.3% and that of male students in city area was significantly higher. Prevalence of obesity of female students in city area and district area of Jeju island were each 12.9%, 14.2% and not significantly different. Prevalence of obesity of male students in general and commercial school group were each 13.9%, 10.1% and that of general school group was significantly higher. In female students, Prevalence of obesity general and commercial school group was not significantly different. Total cholesterol, systolic and diastolic blood pressure were significantly associated with degree of obesity in male and female students(p<0.05) and fasting blood sugar was only significantly associated with degree of obesity in male students(p<0.05). In 1,514 students checked by health record, Odds ratio of obesity at primary and middle school that at high school were 12.96∼22.77 and was significantly associated. Conclusion: Prevalence of obesity of high school students in Jeju island is very high and adolescent obesity was significantly associated with cardiovascular risk factors. Mostly childhood obesity tended to become adolescent obesity and program of control of obesity at childhood and adolescence is required.
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