• Nutrition Research and Practice
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• v.9 no.4
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• pp.404-410
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• 2015

BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.

• Journal of Nutrition and Health
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• v.40 no.6
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• pp.526-530
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• 2007

The purpose of this study was investigating serum lipid, apolipoprotein levels and their correlations in healthy adults of Gyeongnam area. The BMI (body mass index) was significantly higher (p < 0.001) in male (25.2 ${\pm}$ 2.7 $kg/m^2$) than female (23.8 ${\pm}$ 1.5 $kg/m^2$), however PBF (percent body fat) was significantly higher (p < 0.001) in female (29.6 ${\pm}$ 4.3%) than male (22.7 ${\pm}$ 5.0%). The WHR (waist to hip ratio) and blood pressure in the groups showed there was no significant differences. The levels of serum total cholesterol, LDL-cholesterol and apolipoprotein B were significantly higher (p < 0.01) in male (208.7 ${\pm}$ 27.7 mg/dl, 129.0 ${\pm}$ 26.9 mg/dl, 1.0 ${\pm}$ 0.2 g/L) than female (193.6 ${\pm}$ 29.1 mg/dl, 112.5 ${\pm}$ 29.5 mg/dl, 0.9 ${\pm}$ 0.2 g/L, but HDL-cholesterol level was significantly higher (p < 0.01) in female (54.9 ${\pm}$ 6.6 mg/dl) than male (49.9 ${\pm}$ 7.3 mg/dl). The LDL-C/HDL-C, Apo B/Apo A-I and AI (atherogenic index) were significantly higher (p < 0.001) in male (2.6 ${\pm}$ 0.6, 0.8 ${\pm}$ 0.2, 3.3 ${\pm}$ 0.7) than female (2.1 ${\pm}$ 0.5, 0.6 ${\pm}$ 0.2, 2.6 ${\pm}$ 0.5). The triglyceride level was positively correlated with apolipoprotein B concentration (p < 0.05) and negatively correlated with HDL-cholesterol concentration (p < 0.05), however no significant correlation was found with apolipoprotein A-I. According to these results, we conclude that male adults are expecting higher incidence of cardiovascular disease than female adults and we suggest the serum triglyceride should be kept normal level for the prevention of these diseases.

• Journal of agricultural medicine and community health
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• v.34 no.3
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• pp.375-385
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• 2009

Objectives: The objective of this study was to identify the association of food intake with bio-physiological indicators: blood pressure, body mass index (BMI), waist/hip ratio (WHR), cholesterol and urine sugar among rural people. Methods: The subjects were 890 inhabitants from 14 towns of G County in Honam province. Data were collected by interview and self-reported with structured questionnaires from April 6th to 30th 2005. Data were analyzed with the frequency, percentage, t-test, $x^2$-test, ANOVA, Scheffe test and ANCOVA using SPSS 12.0 program. Results: Pre-hypertensive and hypertensive group was 27.0%, overweight and obese 27.1%, more than 0.90 in WHR 42.0%, more than 201 mg/dl of cholesterol 23.9%, and positive urine sugar was 8.7% in general. Among eleven food groups, fruit intakes were more effective in normotensive group than in the others. Vegetables, liquors, and milk products were 0.90 WHR more effective than the others. Milk products and liquors in BMI, and grains, beans and seaweed in low cholesterol group were more effective than the others. Conclusions: Bio-physiological indicators are related significantly only with fruits, milk products, meats, cereal and liquors among eleven food categories. Further study on the relationship between food intake, physical activities, smoking, drinking and lifestyle with bio-physiological indicators are suggested.

• Journal of Life Science
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• v.19 no.10
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• pp.1403-1409
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• 2009

The purpose of this study was to compare Obesity Age (OA) and chronological age, to calculate Obesity Age (OA), which gauges the state of obesity, and to analyze presented factors of obesity using expectant factors on middle-aged obese women. The subjects were one hundred twenty seven middle-aged obese women ($49.6\pm7.3$ yr, BMI $29.41\pm2.9$, fat $36.8\pm4.6%$) who participated in different weight loss programs three times. The body composition, physical fitness, blood pressure and blood were measured before the weight loss programs. Informed consent was obtained from all subjects before enrollment in the study. The regression equation is as follows: (1) OAS (Obesity Age Score)=$0.106*X_1+0.035*X_2+0.048*X_3+0.041*X_4+0.003*X_5-0.037*X_6-10.667$ ($X_1$: BMI, $X_2$: weight, $X_3$: %fat, $X_4$: WC, $X_5$: TG, $X_6$: $VO_{2max}$), (2) OA (Obesity Age)=7.3*OAS+49.6*(-1), (3) Z (correction factor)=(CA-49.6)(1-0.03), (4) OAc (corrected Obesity Age)=1.03*CA-7.3*OAS+1.47. The comparison of corrected Obesity Age (OAc) and chronological age did not have any differences, and the average of the OAc was close to chronological age. The correlation coefficient between the OAc and chronological age was r=0.724 (p<0.05). The equation can be utilized for middle-aged obese women, because it could evaluate the obesity-related factors by including BMI, body weight, %fat, waist circumference, triglycerides and $VO_{2max}$.

• Journal of Preventive Medicine and Public Health
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• v.41 no.1
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• pp.39-44
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• 2008

Objectives : This study was conducted to investigate the associations of non alcoholic fatty liver with metabolic syndrome and the serum carotenoids. Methods : This study was conducted in a general hospital in South Korea from November, 2004 to August, 2005. The study subjects were 350 sampled persons who were aged from 40 years and older (males : 180, females : 170). They were grouped into the normal, mild and severe groups according to fat accumulation in their livers, as determined by ultrasonography. We analyzed the association between non alcoholic fatty liver and metabolic syndrome by multiple logistic regression analysis and we analyzed the association between non alcoholic fatty liver and the serum carotenoids by a general linear model(ANCOVA). Results : After adjustment for the effect of potential covariates, the prevalence of metabolic syndrome was associated with fat accumulation in the liver (p trend <0.001). If the odds ratio of normal group is 1.00, then that of the mild group is 2.80 (95% C.I=1.17-6.71) and that of the severe group is 7.29 (95% C.I=2.76-19.30). The prevalence of metabolic alterations fitting the criteria of metabolic syndrome, according to the class of fat accumulation in the liver, was significantly increased, except for criteria of high blood pressure, a large waist circumference and low HDL (high density lipoprotein) cholesterol level (p trend <0.001). The level of serum ${\beta}$-carotene was decreased according to the class of fat accumulation in the liver (p trend=0.036), but the levels of serum ${\alpha}$-carotene, lycopene, ${\beta}$-cryptoxanthin and lutein were not decreased. Conclusions : This study shows that non alcoholic fatty liver was associated with metabolic syndrome and with the serum ${\beta}$-carotene level.

• Journal of Preventive Medicine and Public Health
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• v.42 no.5
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• pp.331-336
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• 2009

Objectives : The objectives of this study were to determine the relationship between lifestyle-implementation and metabolic syndrome in an electronics research and development company, and to provide a foundation for health providers of health management programs for setting priorities. Methods : From July 1 to July 16, 2008 we carried out a descriptive cross-sectional survey. Consecutive workers of one R & D company in Seoul, Korea (N=2,079) were enrolled in study. A checklist for lifestyle (from the National Health Insurance Corporation) consisted of questions regarding diet, drinking, smoking and exercise. After the survey, researchers obtained data from health profiles for metabolic syndrome(waist-circumference, triglycerides, HDL cholesterol, blood pressure and fasting blood sugar level). Lifestyle was recorded as good or not good. Statistical analysis of metabolic syndrome and the lifestyle of subjects was done using multiple logistic regression analysis. Results : The prevalence of metabolic syndrome in our study gropu was 13.3% (N=277). After adjustment for age, the adjusted odds ratios (odds ratio, 95% confidence intervals) for metabolic syndrome increased in proportion to the number of bad habits: two (1.72, 1.23-2.44), three (2.47, 1.73-3.56), and four (3.63, 2.03-6.34). Relative to subjects eating both vegetables and meat', the OR for 'meat' eaters was 1.66 (1.18-2.31). Compared with 'nonsmokers and ever-smoker', the OR for 'current-smoker' was 1.62 (1.25-2.10). Compared with 'Healthy drinker', the OR for 'unhealthy drinker' was 1.38 (1.05-1.83). Conclusions : Poor lifestyle was associated with an increased likelihood of metabolic syndrome. These findings suggest that lifestyle-based occupational health interventions for young employees should include a specific diet, smoking cessation, and healthy-drinking programs.

• Journal of Preventive Medicine and Public Health
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• v.42 no.5
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• pp.315-322
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• 2009

Objectives : Knowledge about the management status of diabetic melitus (DM) is essential to improve diabetic management. Moreover, low income is associated with poor adherence to treatment and increased mortality. This study was performed to evaluate the management status of DM in low-income patients in a rural area. Methods : We enrolled 370 patients with type 2 DM living in Gokseong county, JeollaNamdo. A well-trained examiner measured the height, weight, waist circumference, blood pressure, total cholesterol, triglyceride, high density lipoprotein cholesterol, fasting blood sugar and glycosylated hemoglobin (HbA1c) levels. Carotid ultrasonography was used to measure carotid artery carotid artery intima media thickness (IMT) and plaque. anklebrachial index (ABI) was used to evaluate peripheral artery disease. A fundoscopic examination was performed to evaluate diabetic retinopathy. A history of diabetes complications and health-related questionnaires were also completed. Results : The age of diabetic subjects was 68.7$\pm$8.7 years and the duration of diabetes was 8.9$\pm$8.2 years. Most (63.5%) had hypertension, and 45.7% had triglycerides below 150 mg/dl, 38.1% had low density lipoprotein cholesterol (LDL) cholesterol below 100 mg/dl, 48.7% had urine albumin to creatinine ratio (UACR) below 30 mg/g. Less than half (45.9%) achieved the goal of HbA1c less than 7% suggested by the American Diabetes Association (ADA). 10.6% had peripheral vascular disease, 11.9% had retinopathy, and 60.8% had chronic kidney disease. Conclusions : DM management in low income patients is very poor and requires further work to improve.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7897-7907
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• 2014

Background: There is paucity of studies defining the prevalence of non-communicable disease (NCD) risk factors in Saudi Arabia despite the surging epidemic of obesity, change in dietary habits and sedentary lifestyle. Objectives: This cross-sectional study aimed to assess the prevalence of NCDs risk factors among employees at King Faisal University in Al Hassa, Saudi Arabia and to determine the possible correlates for clustering of NCDs risk factors among them. Materials and Methods: All employees were invited to participate; the World Health Organization STEPwise approach was used for data collection which consisted of a personal interview to collect socio-demographic characteristics, NCD history, tobacco use, vegetables and fruit consumption, and physical activity (PA), followed by anthropometric measurements namely weight, height and waist circumference and blood pressure measurements, subjects were finally subjected to biochemical tests with determination of fasting plasma glucose, serum triglycerides, cholesterol and high density lipoproteins. Results: Of the surveyed employees (n=691), daily current smokers accounted for 22.7%. 94.9%, 95.1% and 86% consumed < 5 servings per day of vegetables, fruits and both fruits and vegetables respectively, 73% were physically inactive, 64% were overweight or obese, 22.1% had hypertension, and 21.5% were diabetics. Elevated cholesterol levels were found in 36.6%, low high density lipoproteins in 36.8%, and elevated triglycerides in 36.1%. Only 3% had no NCD risk factors, and 57.6% had ${\geq}3$ factors. Multivariate logistic regression showed that gender (being male, adjusted odds ratio 'aOR'=1.51), aged ${\geq}50$ years (aOR=3.06), < college education (aOR=1.75), current smokers (aOR=2.37), being obese (aOR=6.96) and having a low PA level (aOR=4.59) were the significant positive predictors for clustering of NCD risk factors. Conclusions: Over fifty percent of the studied university's employees had multiple (${\geq}3$) NCD risk factors. Screening and health promotion initiatives should be launched at least targeting the modifiable factors to avert the excessive risk for cardiovascular disease, diabetes mellitus and several types of cancers.

• Journal of the Korean Dietetic Association
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• v.19 no.2
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• pp.112-123
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• 2013

HbA1c was recently adopted as a reliable indicator for screening diabetes. This study investigated the ability of nutrition consultation to prevent diabetes in overweight women (BMI 23 $kg/m^2$ or more) using HbA1c as an indicator. Twenty overweight and obese women (with $HbA1c{\geq}5.7$%) completed the 12-week nutritional study, with individual and personalized nutrition counseling performed every 2 weeks. The main study guidelines involved the following: 1) reducing the intake of high fat foods and alcohol, 2) consuming a large amount of vegetables, 3) reducing the intake of simple sugars and empty-calorie foods, and 4) increasing physical activity to ${\geq}30$ min/day. Anthropometric (height, weight, BMI, body muscle (kg), body fat (%), waist and hip circumference, blood pressure) and biochemical parameters (fasting blood sugar (FBS), HbA1c, lipid profiles, hs-CRP) were measured before and after the nutrition consultation. After 12 weeks, the HbA1c<5.7% group had significant decreases in BMI, WC, HC, WHR, HbA1c, hs-CRP and also dietary intake of energy (P<0.01), carbohydrates, lipids (P<0.01), proteins (P<0.01) and cholesterol was significantly decreased (P<0.05). In the HbA1c ${\geq}5.7$% group, HbA1c, TC, LDL, NON-HDL, hs-CRP and dietary intake of energy, carbohydrate, lipid, protein, and cholesterol significantly decreased (P<0.05). These results suggest that nutrition consultation effectively helps to prevent diabetes in overweight and obese women after applying HbA1c standards. Overall, the improvement in all markers measured suggest that HbA1c is a good indicator for blood glucose regulation, helping to prevent diabetes.

• Clinical and Experimental Pediatrics
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• v.52 no.3
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• pp.370-375
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• 2009

Purpose : The risk of metabolic syndrome (MS) and cardiovascular disease in Turner syndrome (TS) patients is high. We analyzed metabolic factors in adults with TS and evaluated the metabolic risk of insulin resistance. Methods : Forty-three adults with TS were enrolled. The frequency of MS and the values of the metabolic factors were analyzed. Patients were divided into insulin resistant and non-resistant groups according to values of homeostasis model assessment of insulin resistance (HOMA-IR). The correlations of HOMA-IR with metabolic parameters were analyzed. Results : The frequency of MS was 7% and those of each metabolic parameter were as follows: insulin resistance, 16.3%; central obesity, 15.4%; hypertriglyceridemia, 2.3%; low HDL cholesterol, 9.3%; hypertension, 36.8%. The insulin-resistant group had significantly higher values of body mass index (BMI), waist circumference (WC), fasting plasma glucose (FPG), HOMA-IR, and systolic blood pressure (SBP) than the non-resistant group (P<0.05). HOMA-IR showed a significantly positive correlation with BMI, WC, FPG, and SBP and showed a negative correlation with HDL cholesterol. Conclusion : This study suggests that adults with TS have a high risk of metabolic syndrome, and insulin resistance is correlated with metabolic factors. Therefore, TS patients should have their metabolic parameters monitored regularly to minimize metabolic complications and prevent cardiovascular diseases.