1.Lipid accumulation product is a predictor of nonalcoholic fatty liver disease in childhood obesity
Bahar ÖZCABI ; Salih DEMIRHAN ; Mesut AKYOL ; Hatice ÖZTÜRKMEN AKAY ; Ayla GÜVEN
Korean Journal of Pediatrics 2019;62(12):450-455
BACKGROUND: Lipid accumulation product (LAP) is associated with the presence and severity of nonalcoholic fatty liver disease (NAFLD) in adults.PURPOSE: Here we evaluated the ability of LAP to predict NAFLD in obese children.METHODS: Eighty obese children (38 girls; age 6–18 years) were included. Anthropometric measurements and biochemical values were obtained from the patients’ medical records. LAP was calculated as [waist circumference (WC) (cm) – 58]×triglycerides (mmol/L) in girls; [WC (cm) – 65]×triglycerides (mmol/L) in boys. The minLAP and adjLAP were described (3% and 50% of WC values, respectively) and the total/high-density lipoprotein cholesterol index (TC/HDL-C) was calculated. NAFLD was observed on ultrasound, and patients were divided into 3 groups by steatosis grade (normal, grade 0; mild, grade 1; moderate-severe, grade 2–3). The area under the curve (AUC) and appropriate index cutoff points were calculated by receiver operator characteristic analysis.RESULTS: LAP was positively correlated with puberty stage (rho=0.409; P<0.001), fasting insulin (rho=0.507; P<0.001), homeostasis model assessment of insulin resistance (rho=0.470; P<0.001), uric acid (rho=0.522; P<0.001), and TC/HDL-C (rho=0.494; P<0.001) and negatively correlated with HDL-C (rho=-3.833; P<0.001). LAP values could be used to diagnose hepatosteatosis (AUC=0.698; P=0.002). The LAP, adjLAP, and minLAP cutoff values were 42.7 (P=0.002), 40.05 (P=0.003), and 53.47 (P=0.08), respectively. For LAP, the differences between the normal and mild groups (P=0.035) and the normal and moderate-severe groups were statistically significant (P=0.037), whereas the difference between the mild and moderate-severe groups was not (P>0.005). There was a statistically significant difference between the normal and mild groups for adjLAP (P=0.043) but not between the other groups (P>0.005). There was no significant intergroup difference in minLAP (P>0.005).CONCLUSION: LAP is a powerful and easy tool to predict NAFLD in childhood. If LAP is ≥42.7, NAFLD should be suspected. This is the first study to assess LAP diagnostic accuracy for childhood obesity.
Adolescent
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Adult
;
Child
;
Cholesterol
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Fasting
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Female
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Homeostasis
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Humans
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Insulin
;
Insulin Resistance
;
Lipid Accumulation Product
;
Lipoproteins
;
Medical Records
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Non-alcoholic Fatty Liver Disease
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Obesity
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Pediatric Obesity
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Puberty
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Ultrasonography
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Uric Acid
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Waist Circumference
2.Accuracy of waist circumference measurement using the WHO versus NIH Protocol in Predicting Visceral Adiposity Using Bioelectrical Impedance Analysis among overweight and obese adult Filipinos in a tertiary hospital
Leslie Daphne Kawaji ; Joy Arabelle Fontanilla
Journal of the ASEAN Federation of Endocrine Societies 2021;36(2):180-188
Objectives:
The study aimed to compare the performance of weight circumference (WC) measurement using the World Health Organization (WHO) versus National Institutes of Health (NIH) protocol in identifying visceral adiposity, and to determine the association of WC with cardiometabolic risk factors among overweight and obese adult Filipinos.
Methodology:
A retrospective study involving 221 subjects (99 males, 122 females) evaluated at an outpatient weight intervention center of a tertiary hospital. The WC was measured at the superior border of the iliac crest (WC-NIH) and midway between the lowest rib and the iliac crest (WC-WHO) for each patient. Using visceral fat rating (VF) derived via bioelectrical impedance analysis (BIA) as reference standard, diagnostic accuracy tests for both protocols (using cut-offs of ≥90 cm in males and ≥80 cm in females) were done. Cardiometabolic parameters were also obtained, and binary logistic regression was performed to determine associations with WC
Results:
Among males, WC-WHO had 96% sensitivity (95% CI 88.8%-99.2%) and 25% specificity (95% CI 9.77%-46.7%) while WC-NIH had 94.7% sensitivity (95% CI 86.9%-98.5%) and 29.2% specificity (95% CI 12.6%-51.1%) to predict high VF >12. Among females, WC-WHO had 100% sensitivity (95% CI 90%-100%) and 24.1% specificity (95% CI 15.6%-34.5%) while WC-NIH had 100% sensitivity (95% CI 90%-100%) and 4.6% specificity (95% CI 1.3%-11.4%). Prevalence of high VF was significantly greater among males – 75.8% (95% CI 66.1%-83.8%) vs. 28.7% (95% CI 20.9%-37.6%) in females (p<0.001). Among females, WC-NIH tended to have higher measurements than WC-WHO by an average of 4.67 cm. Females with WC-WHO measurements of at least 80 cm were approximately four times more likely to have low (<50 mg/dL) HDL levels (cOR 3.82, p=<0.05), even after adjusting for age (aOR 3.83, p=<0.05).
Conclusion
WC measurement using the WHO and NIH protocols were both highly sensitive but had low specificity in predicting high VF estimated via BIA among overweight and obese adult Filipinos in this study. WC-NIH measurements tended to be higher among the females, which may affect classification of central obesity when using this protocol. WC ≥80 cm measured using the WHO protocol was associated with low HDL levels among female subjects. Prospective studies conducted among the general Filipino population are recommended to verify these findings.
Waist Circumference
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Obesity, Abdominal
3.Helicobacter pylori Stool Antigen Levels and Serological Biomarkers of Gastric Inflammation are Associated with Cardio-Metabolic Risk Factors in Type 2 Diabetic Patients.
Zahra BAHADORAN ; Parvin MIRMIRAN ; Maryam ZARIF-YEAGANEH ; Homayoun ZOJAJI ; Fereidoun AZIZI
Endocrinology and Metabolism 2015;30(3):280-287
BACKGROUND: Helicobacter pylori infection and subsequent gastric inflammation have been proposed as risk factors for the development of insulin resistance and cardiovascular disease. In this study we assessed the possible association of H. pylori bacterial load, and serum biomarker of gastric inflammation with cardiometabolic risk factors in diabetic patients. METHODS: In this cross-sectional study, 84 H. pylori-infected type 2 diabetic patients were assessed for anthropometrics, biochemical and clinical measurements. Pearson correlation test, linear, and logarithmic regression curve estimation models were used to assess the association of H. pylori stool antigen (HpSAg) levels, and pepsinogen I (PGI) to pepsinogen II (PGII) ratio with fasting serum glucose, insulin, serum lipid and lipoprotein parameters, malondialdehyde, high-sensitive C-reactive protein (hs-CRP), systolic and diastolic blood pressure, body weight, waist circumference and lipid accumulation product (LAP) index. RESULTS: The mean age of participants was 54+/-10 years, and 44% were men. Mean HpSAg levels and PGI/PGII ratio were 0.24+/-0.23 microg/mL and 9.9+/-9.0, respectively. Higher HpSAg as well as lower PGI/PGII was correlated with higher anthropometric measures and LAP. A significant negative correlation between PGI/PGII ratio and blood pressure (r=-0.21 and r=-0.22, systolic and diastolic, respectively, P<0.05), serum insulin (r=-0.17, P=0.05), and hs-CRP (r=-0.17, P=0.05) was observed. A significant linear association between PGI/PGII ratio with serum triglycerides (beta=-0.24, P<0.05), serum high density lipoprotein cholesterol (HDL-C; beta=0.43, P<0.01), and triglycerides/HDL-C ratio (beta=-0.28, P<0.05) were observed. CONCLUSION: Higher H. pylori bacterial load and lower PGI/PGII ratio was associated with higher levels of cardiometabolic risk factors in H. pylori infected type 2 diabetic patients.
Bacterial Load
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Biomarkers*
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Blood Glucose
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Blood Pressure
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Body Weight
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C-Reactive Protein
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Cardiovascular Diseases
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Cholesterol, HDL
;
Cross-Sectional Studies
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Diabetes Mellitus, Type 2
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Fasting
;
Helicobacter pylori*
;
Helicobacter*
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Humans
;
Inflammation*
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Insulin
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Insulin Resistance
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Lipid Accumulation Product
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Lipoproteins
;
Male
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Malondialdehyde
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Pepsinogen A
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Pepsinogen C
;
Pepsinogens
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Risk Factors*
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Triglycerides
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Waist Circumference
4.Effect of Previous Abdominal or Pelvic Surgery on Colonoscopy.
Chang Wook JEONG ; Sang Goon SHIM ; Geon Tae PARK ; Ji Eun OH ; Ji Eun YI ; Jae Gon WOO ; Dae Hyeon CHO ; Gil Jong YOO
Korean Journal of Gastrointestinal Endoscopy 2011;42(5):283-288
BACKGROUND/AIMS: A number of studies have reported wide variability in the colonoscope insertion time among patients who had prior abdominal surgery. The aim of this study was to investigate the effect of abdominal surgery on colonoscope insertion time. METHODS: The subjects were 192 patients with prior abdominal surgery, among 3,600 patients who underwent a colonoscopy at Samsung Changwon Hospital from May 2008 to May 2010. We collected the following data: insertion time, age, gender, height, weight, BMI, waist circumference, method of abdominal surgery, and the degree of bowel cleanliness. Previous abdominal operations were divided into colectomy, non-colectomy abdominal surgery, pelvic surgery, and laparoscopic surgery groups. RESULTS: The average colonoscope insertion time in patients with prior abdominal surgery (7.73+/-5.95 min) was longer than that of the non-surgery group (6.4+/-3.88 min). Patients in the colectomy groups were older and had a shorter insertion time (5.11+/-3.32 min) than patients in the other groups. CONCLUSIONS: Insertion of a colonoscope in patients with previous abdominal surgery was more difficult than that in the control group, except the colectomy group.
Colectomy
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Colonoscopes
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Colonoscopy
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Humans
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Laparoscopy
;
Waist Circumference
5.Metabolic syndrome in children and adolescents.
Korean Journal of Pediatrics 2009;52(7):737-744
Metabolic syndrome (MS) in children and adolescents has become a global public health problem. MS among Korean children and adolescents has been increasing significantly over the past decade. This paper aims to provide the currently available information on the MS in children and adolescents. This review focuses on the definition, diagnostic criteria, epidemiology and pathophysiology which may be helpful for the pediatrician in early identification and management of the MS in children and adolescents.
Adolescent
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Child
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Humans
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Public Health
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Waist Circumference
6.Correlation of Somatotype Drawing and Anthropometric Values.
Yoo Seock JEONG ; Eal Whan PARK ; Jong Myon BAE ; Yun LEE
Journal of the Korean Academy of Family Medicine 1997;18(9):918-926
BACKGROUND: The evaluation of obesity in practice has been done indirectly by anthropometric values such as body mass index(BMI), waist and hip circumferences and waisthip ratio(WHR). Somatotype drawing developed by Srensen has been evaluated as a simple instrument of obesity without real somatic measuring in several studies. This study was attempted to evaluate correlation between somatotype drawing and anthropometric values. METHODS: The subjects were measured anthroprmetric values such as height, weight, hip and waist circumferences. After calculating BMI and WHR, we evaluated correlation between these values and somatotype drawing. And we tried to grouping of somatotype drawing with the means of anthropometric values. RESULTS: The data were collected from 224 subjects, whose BMI(kg/m2) and WHR were 22.81+/-2.96 and 0.84+/-0.07(mean+/-SD). Spearmans correlation coefficients(rs) of somatotype drawing were 0.77 with BMI, 0.62 with waist circumference, 0.61 with weight and hip circumference, 0.40 with WHR that remained statistically significant after adjusting age, sex, education level, monthly income and job. And, the grades of somatotype drawing were grouped as 1, 2, 3-4, 5-6, 7 by BMI and hip circumference, 1, 2-4, 5, 6, 7 by waist circumference(ANOVA and Duncans method). CONCLUSIONS: Somatotype drawing has a good correlations with BMI, weight, waist and hip circumference. But it is not applicable to assess WHR because of its relatively lower correlation.
Education
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Hip
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Obesity
;
Somatotypes*
;
Waist Circumference
9.Cardiovascular Risk Assessment Based on Combined Body Mass Index and Waist Circumference in Korean Adults.
Korean Journal of Family Medicine 2017;38(6):313-314
No abstract available.
Adult*
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Body Mass Index*
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Humans
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Risk Assessment*
;
Waist Circumference*
10.Time Trend in Height, Weight, BMI and Waist Circumference of Korean Adolescents; From the Korean National Health and Nutrition Examination Survey (KNHNES), 1998, 2001 and 2005.
Journal of Korean Society of Pediatric Endocrinology 2007;12(2):142-149
PURPOSE: The mean height and weight had been increasing rapidly in Korean adolescents. The purpose of this study was to analyze body physique (height, weight, BMI and waist circumference) of Korean adolescents, using KNHNES data. METHODS: The data were obtained from the KNHNES from each year of 1998, 2001 and 2005. Total number of 4164 adolescents (2140 boys, 2024 girls) aged 10 to 19 years were included. Height, weight, and waist circumference were measured and the mean value of body physique was analyzed by sex and age. RESULTS: For height of 10 yr-old boys, there was no difference between 1998, 2001 and 2005, but the height of 13 yr-old boys was increased more than 3 cm in 2005, compared to 1998 and 2001. For height of 10 yr-old girls, more than 2 cm was increased, but, there was no significant difference after the age of 14 year in each 1998, 2001 or 2005. Height of the age of 19 was 173.7 cm in boys and 161.3 cm in girls in 2005, showing no distinct change compared to 1998 or 2001. Weight and BMI showed significant increase in both sexes and all-aged groups for older than the age of 11 years in 2005, compared to 1998 or 2001. Weight increase was more distinct in boys compared to girls. For boys, waist circumference of 2005 were higher than 1998, but lower than 2001. For girls, waist circumference of 2005 were higher than 1998 and 2001 especially in the late teens. CONCLUSION: Rapid increase in height was shown in the early teenage whereas final height showed no significant difference during 1998-2005. The mean weight and BMI have been increased dramatically in 2005, compared to 1998 or 2001 in boys and girls. This phenomenon was shown more remarkably in boys, compared to girls. These findings emphasize importance of obesity management, especially on boys.
Adolescent*
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Female
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Humans
;
Nutrition Surveys*
;
Obesity
;
Waist Circumference*