scholarly journals Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 1002
Author(s):  
Marta Sánchez ◽  
Enric Sánchez ◽  
Marcelino Bermúdez-López ◽  
Gerard Torres ◽  
Cristina Farràs-Sallés ◽  
...  
Keyword(s):  
Shape Index ◽  
Cross Sectional Study ◽  
Excess Body Weight ◽  
Similar Data ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Body Adiposity ◽  
Adiposity Indices ◽  
Obesity Index ◽  
Total Body

Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg’s formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora’s equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r ≤ 0.182 and p ≤ 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC ≤ 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes.

scholarly journals The association between 25(OH)D levels, frailty status and adiposity indices in older adults

2018 ◽  
Author(s):  
Ana Rita Sousa-Santos ◽  
Cláudia Afonso ◽  
Alejandro Santos ◽  
Nuno Borges ◽  
Pedro Moreira ◽  
...  
Keyword(s):  
Older Adults ◽  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Multinomial Logistic Regression ◽  
Positive Association ◽  
Serum Levels ◽  
Shape Index ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Adiposity Indices

AbstractBackgroundVitamin D deficiency is common in older adults and has been linked with frailty and obesity, but it remains to be studied whether frail obese older adults are at higher risk of vitamin D deficiency. Therefore, the aim of this study is to explore the association between frailty, adiposity indices and serum 25(OH)D concentrations.Methods1447 individuals with 65 years or older, participating in a cross-sectional study (Nutrition UP 65). Frailty, according to Fried et al., body mass index (BMI), waist circumference (WC), body roundness index (BRI) and body shape index (ABSI) were evaluated. A stepwise multinomial logistic regression was carried out to quantify the association between 25(OH)D quartiles and independent variables.ResultsMedian 25(OH)D levels were lower in individuals presenting both frailty and obesity (p<0.001). In the multivariate analysis, pre-frailty (OR 2.65; 95% CI 1.63-4.32) and frailty (OR 3.76; 95% CI 2.08-6.81) were associated with increased odds of lower 25(OH)D serum levels (first quartile). Regarding adiposity indices, obesity (OR 1.75; 95% CI 1.07-2.87) and the highest categories of WC (OR 3.46; 95% CI 1.95-6.15), BRI (OR 4.35; 95% CI 2.60-7.29) and ABSI (OR 3.17 95% CI 1.86-5.38) were directly associated with lower 25(OH)D serum levels (first quartile).ConclusionsA positive association between frailty or obesity and lower levels of vitamin D was found. Moreover, besides BMI and WC, other indicators of body adiposity, such as BRI and ABSI, were associated with lower 25(OH)D serum concentrations.

scholarly journals Comparisons of body mass index, waist circumference, waist-to-height ratio and a body shape index (ABSI) in predicting high blood pressure among Malaysian adolescents: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e032874 ◽  
Author(s):  
Joyce Ying Hui Tee ◽  
Wan Ying Gan ◽  
Poh Ying Lim
Keyword(s):  
Blood Pressure ◽  
High Blood Pressure ◽  
Body Shape ◽  
Shape Index ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
A Body Shape Index

ObjectiveTo compare the performance of different anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and a body shape index to predict high blood pressure (BP) in adolescents using the 90th and 95th percentiles as two different thresholds.DesignCross-sectional study.SettingProbability proportionate to size was used to randomly select two schools in Selangor state, Malaysia.ParticipantsA total of 513 adolescents (58.9% women and 41.1% men) aged 12–16 years were recruited.Primary and secondary outcome measuresWeight, height, WC and BP of the adolescents were measured. The predictive power of anthropometric indices was analysed by sex using the receiver operating characteristic curve.ResultsBMI and WHtR were the indices with higher areas under the curve (AUCs), yet the optimal cut-offs to predict high BP using the 95th percentile were higher than the threshold for overweight/obesity. Most indices showed poor sensitivity under the suggested cut-offs. In contrast, the optimal BMI and WHtR cut-offs to predict high BP using the 90th percentile were lower (men: BMI-for-age=0.79, WHtR=0.46; women: BMI-for-age=0.92, WHtR=0.45). BMI showed the highest AUC in both sexes but had poor sensitivity among women. WHtR presented good sensitivity and specificity in both sexes.ConclusionsThese findings suggested that WHtR might be a useful indicator for screening high blood pressure risk in the routine primary-level health services for adolescents. Future studies are warranted to involve a larger sample size to confirm these findings.

Abstract 552: Vitamin D in Chronic Kidney Disease is Aassociated with Total or Central Body Adiposity?

Hypertension ◽  
2014 ◽  
Vol 64 (suppl_1) ◽  
Author(s):  
MARIA INES BARRETO SILVA ◽  
VANESSA VICENTE ◽  
CARLA LEMOS ◽  
MARCIA R KLEIN ◽  
RACHEL BREGMAN
Keyword(s):  
Vitamin D ◽  
Central Body ◽  
Cross Sectional Study ◽  
Central Adiposity ◽  
Cross Sectional ◽  
Regular Treatment ◽  
Body Adiposity ◽  
Vitamin D Levels ◽  
Total Body ◽  
D Values

Introduction: Obesity is reported as an important contributor for vitamin D (VitD) deficiency. Nevertheless, most of the studies use body mass index (BMI) to evaluate this relationship and results are not clear. In CKD, obesity and VitD deficiency are common conditions, however the association of body adiposity and VitD in nondialyzed CKD patients is not known. Objective: Determine the association of VitD with total and central body adiposity in nondialyzed CKD patients. Methods: Cross-sectional study conducted in nondialyzed CKD outpatients under regular treatment. Inclusion criteria: clinically stable; age≥18 years; estimated glomerular filtration rate (CKD-EPI) (eGFR)≤ 60 ml/min. Body adiposity: BMI (classified by WHO criteria; 1998); waist circumference (WC); waist-to-height ratio (WheiR); waist-to-hip ratio (WHR); total body adiposity (TBA) by dual-energy X-ray absorptiometry (DXA) and by body adiposity index (BAI). VitD[25(OH)D] analysed by Passing-Bablok method and leptin, used as TBA marker, by radioimmunoassay. Participants were stratified as: VitD-deficient (<20 ng/ml; 23%/n=40; VitD=16±3 ng/ml) and VitD-no-deficient (≥20 ng/ml; 77%/n=135; VitD=31±8 ng/ml). Results: We studied 175 nondialyzed CKD (57.7% men/n=101), 66±13 years, eGFR=29±13ml/min., BMI=26±5 kg/m2, VitD=27±9.7 ng/ml. CKD stages (CKD-s) profile was (%/n): 3A-15%/26; 3B-32%/56; 4-39%/68; 5-14%/25. VitD-deficient patients compared with VitD-no-deficient showed higher TBA evaluated by DXA (38±7 vs. 33±9%,p=0.003), BAI (32±7 vs. 29±5%,p=0.009) and leptin (median; interquartil interval=6.2; 5-10 vs. 11; 10-19 ng/dl,p=0,01), but showed no differences (p≥0.05) for BMI and central adiposity parameters (WC;WheiR;WHR). Serum 25(OH)D values were negatively associated with TBA (DXA: r= -0.3; p=0.0008; BAI: r= -0.22; p=0.008), but was not associated with BMI and with WC, WheiR, WHR. In multiple regression analysis TBA (by DXA and by BAI), but not BMI, was independently associated with VitD (p=0.001) after adjusted by age, gender, eGFR. Conclusion: Total body adiposity, but not BMI or central adiposity, was independently associated with vitamin D levels in this population with CKD.

scholarly journals Associations between exposure to perfluoroalkyl substances and body fat evaluated by DXA and MRI in 109 adolescent boys

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  
Keyword(s):  
Body Fat ◽  
Study Design ◽  
Sulfonic Acid ◽  
Standard Deviation Score ◽  
Cross Sectional Study ◽  
Mass Spectrometry Data ◽  
Perfluoroalkyl Substances ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total Body

Abstract Background Exposure to perfluoroalkyl substances (PFASs) has been associated with changes in body mass index and adiposity, but evidence is inconsistent as study design, population age, follow-up periods and exposure levels vary between studies. We investigated associations between PFAS exposure and body fat in a cross-sectional study of healthy boys. Methods In 109 boys (10–14 years old), magnetic resonance imaging and dual-energy X-ray absorptiometry were performed to evaluate abdominal, visceral fat, total body, android, gynoid, android/gynoid ratio, and total fat percentage standard deviation score. Serum was analysed for perfluorooctanoic acid, perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid, and perfluorodecanoic acid using liquid chromatography and triple quadrupole mass spectrometry. Data were analysed by multivariate linear regression. Results Serum concentrations of PFASs were low. Generally, no clear associations between PFAS exposure and body fat measures were found; however, PFOS was negatively associated with abdominal fat (β = -0.18, P = 0.046), android fat (β = -0.34, P = 0.022), android/gynoid ratio (β = -0.21, P = 0.004), as well as total body fat (β = -0.21, P = 0.079) when adjusting for Tanner stage. Conclusions Overall, we found no consistent associations between PFAS exposure and body fat. This could be due to our cross-sectional study design. Furthermore, we assessed PFAS exposure in adolescence and not in utero, which is considered a more vulnerable time window of exposure.

scholarly journals Total body bone measurements: A cross-sectional study in children with acute lymphoblastic leukemia during and following completion of therapy

2009 ◽  
Vol 52 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Kara M. Kelly ◽  
John C. Thornton ◽  
Deborah Hughes ◽  
Ifeyinwa Osunkwo ◽  
Michael Weiner ◽  
...  
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Lymphoblastic Leukemia ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total Body ◽  
Body Bone

scholarly journals Nutritional Status and Anthropometric Indices in High School Girls in Ilam, West Iran

Scientifica ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Fatemeh Jamalikandazi ◽  
Elham Ranjbar ◽  
Eskandar Gholami-Parizad ◽  
Zeinab Ghazanfari ◽  
Seyed-Ali Mostafavi
Keyword(s):  
High School ◽  
Nutritional Status ◽  
Human Growth ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Dietary Recall ◽  
High School Girls ◽  
School Girls

Background. Adolescence is one of the most challenging periods for human growth and nutritional status. The aim of this study was to assess the nutritional status and anthropometric indices in high school girls in Ilam.Methods. This cross-sectional study was performed on 360 domestic high school girl students chosen randomly by cluster sampling. Data were gathered through interviews performed by a dietitian to fill 24-hour dietary recall and food frequency and demographic questionnaires. Then we performed the anthropometric measurements and we compared the results with CDC2000 standards. We analyzed our data by N4 food analyzer and SPSS16 software.Results. The prevalence of obesity and overweight was 5% and 10.8%, respectively. Simultaneously, the prevalence of underweight was 20.2%. The prevalence of stunting was 5.8%. We also showed that 50% of high school girls in Ilam suffered from severe food insecurity, 14.7% suffered from mild insecurity, and 4.7% get extra energy from foods. Food analysis showed that micronutrients such as zinc, iron, calcium, folate, fiber, magnesium, and vitamin B12 were less than what is recommended by the RDA.Conclusion. Undernutrition and overnutrition are completely prevalent among girls studied in Ilam. This needs further acts and investigations in the field and more nutritional and health educations.

Association of plant-based diets with lipid profile and anthropometric indices: a cross-sectional study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohadese Borazjani ◽  
Mehran Nouri ◽  
Kamesh Venkatakrishnane ◽  
Maryam Najafi ◽  
Shiva Faghih
Keyword(s):  
High Density Lipoprotein ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Lipoprotein Cholesterol ◽  
Healthy Plant ◽  
Sectional Study ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Content Type

Purpose Plant-based diets have been related to decreasing morbidity and mortality of many non-communicable diseases. The purpose of this study was to investigate the relationship between plant-based diets and lipid profiles and anthropometric indices. Design/methodology/approach This cross-sectional study was performed on 236 men and women selected from Shiraz health-care centers. This study used a 168-item food frequency questionnaire to calculate plant-based diet index (PDI), healthy plant-based diet index (hPDI) and unhealthy plant-based diet index (uPDI). Total cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol and triglycerides were measured. Furthermore, body mass index, a body shape index and conicity index (CI) were calculated after measuring weight, height and waist circumference. Findings Higher score of PDI was significantly related to higher triglycerides level (OR = 2.16; 95% CI: 1.04, 4.48; P = 0.03). In the fully adjusted model, there was a significant association between ABSI and hPDI (OR = 4.88; 95% CI: 1.17, 20.24; P = 0.03). A significant inverse association was observed between uPDI and high-density lipoprotein (HDL) (OR = 0.45; 95% CI = 0.21, 0.98; P = 0.03). Also, this study found a decreasing, but insignificant trend in relation of ABSI (OR = 0.72; 95% CI = 0.22, 2.34) and CI (OR = 0.41; 95% CI = 0.06, 0.56) with PDI. Research limitations/implications Further studies are needed to explore the association of PDI with anthropometric indices and lipid profile and also to assess the potential causality of the observed associations. Plant-based diets according to their contents could affect triglycerides, HDL and anthropometric properties. Practical implications Hence, dietitians should consider the findings of this study such as the inverse effect of unhealthy plant-based diets on HDL and the relation between healthy plant-based diets and WC and abdominal obesity. Originality/value This study showed that adherence to a plant-based diet was related to higher triglycerides levels. Also, uPDI was inversely associated with HDL level. Furthermore, participants who adhered more to a healthy plant-based diet had higher abdominal adiposity.

scholarly journals Diagnostic accuracy of anthropometric indices in predicting excess body fat among seven to ten-year-old children

2014 ◽  
Vol 17 (1) ◽  
pp. 243-254 ◽  
Author(s):  
Edineia Aparecida Gomes Ribeiro ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis
Keyword(s):  
Diagnostic Accuracy ◽  
Body Fat ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
The Body ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Standardized Residuals ◽  
Highly Sensitive ◽  
Anthropometric Index

PURPOSE: To evaluate the accuracy of the body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) in detecting excess body fat among schoolchildren in Florianópolis, Santa Catarina. METHODS: Cross-sectional study with 2,772 schoolchildren aged seven to ten years. Receiver Operating Characteristic (ROC) curves were used to compare the diagnostic accuracy of the BMI, the WC and the WHtR in identifying children with excess body fat (defined as values that were equal to or higher than the 90th percentile of the standardized residuals obtained from the sum of the four skinfolds thickness). Likelihood ratio estimates were used to select, for each anthropometric index, the cut-off points that presented the highest association with excess body fat. RESULTS: The BMI, WC and WHtR performed well in detecting excess body fat, indicated by areas under the ROC curve (AUC) close to 1.0, with slightly higher AUC for the BMI in comparison to the WC and the WHtR concerning both sexes. Highly sensitive and specific cut-off points were derived for the three anthropometric indices. Sensitivity ranged from 85.7 to 92.9% for the BMI, from 78.6 to 89.7% for the WC, and from 78.6 to 89.2% for the WHtR. Specificity ranged from 83.2 to 91.4%, from 75.0 to 90.7%, and from 77.4 to 88.3% for the BMI, the WC and the WHtR, respectively. CONCLUSION: BMI, WC and WHtR can be used as diagnostic tests to identify excess body fat in children from seven to ten years of age.

Dietary patterns and body adiposity in children in Brazil: a cross-sectional study

Public Health ◽  
2019 ◽  
Vol 166 ◽  
pp. 140-147 ◽  
Author(s):  
S.A. Vieira-Ribeiro ◽  
C.S. Andreoli ◽  
P.C.A. Fonseca ◽  
H.H. Miranda Hermsdorff ◽  
P.F. Pereira ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Body Adiposity
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