scholarly journals Sensitivity and specificity of waist circumference as a single screening tool for assessment of overweight and obesity

2017 ◽  
Vol 4 (11) ◽  
pp. 4254
Author(s):  
Anubrata Karmakar ◽  
Shobhit Garg ◽  
Aparajita Dasgupta ◽  
Bobby Paul ◽  
Swanya P. Maharana
Keyword(s):  
Waist Circumference ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Screening Tool ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Public Health Perspective ◽  
Cross Sectional

Background: Generalised and central obesity are established risk factors for metabolic syndrome and cardiovascular diseases. Easy assessment of overweight or obesity is the need of the hour from public health perspective. Waist circumference (WC) can be a simple screening tool for identifying overweight individuals since measuring WC is simple, inexpensive, less time consuming, convenient for self-monitoring and needs no complicated calculation as BMI.Methods: A community based cross-sectional study was conducted in January-February 2017 among 338 adults, in a village of Singur Block, West Bengal. Height, weight and WC were measured for each subject. Receiver Operating Characteristic (ROC) curve analysis was used to estimate the cut-off values of WC.Results: The sensitivity and specificity of WC ≥90 centimeters for men for identifying overweight (BMI ≥25) were 78.8% and 75.6% respectively, whereas those of WC ≥80 cm for women were 80.3% and 44% respectively. ROC curve analysis revealed good diagnostic accuracy at 88.5 cm for WC cut-off for men (area under curve (AUC) 0.854, sensitivity 86.5%, specificity 67.6%) and fair accuracy (AUC 0.744, sensitivity 80.3%, specificity 44%) for WC cut-off for 80 cm for women.Conclusions: This study shows, WC can be used for screening of overweight individual infield practice as measuring tape is inexpensive and easy-to-carry compared to a weighing scale. More research may be done on larger sample size to establish an optimal WC cut-off value for Indian population. 

scholarly journals What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios

2020 ◽  
Vol 10 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Helda Tutunchi ◽  
Mehrangiz Ebrahimi-Mameghani ◽  
Alireza Ostadrahimi ◽  
Mohammad Asghari-Jafarabadi
Keyword(s):  
Waist Circumference ◽  
Roc Curve ◽  
Predictive Ability ◽  
Diagnostic Value ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Roc Curve Analysis ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Anthropometric Indicators

Background: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight and obesity. We also aimed to compare the predictive ability of these indices to introduce the best choice. Methods: In this cross-sectional study, a total of 500 subjects were investigated. Anthropometric indicators were measured using a standard protocol. We considered body mass index (BMI) as the simple and most commonly used index for measuring general obesity as the comparison indicator in the present study to assess the diagnostic value for other reported obesity indices.We also performed receiver operating characteristic (ROC) curve analysis to define the optimal cut-off points of the anthropometric indicators and the best indices for overweight and obesity. Results: The proposed optimal cut-offs for WC, WHtR, and WHR were 84 cm, 0.48 and 0.78for women and 98 cm, 0.56 and 0.87 for men, respectively. The area under the ROC curve ofWHtR (women: AUC=0.97, 95% CI: 0.96-0.99 vs. men: AUC=0.97, 95%CI: 0.96-0.99) and WC(women: AUC=0.97, 95% CI, 0.95-0.99 vs. men: AUC=0.98, 95% CI: 0.97-0.99) were greater than WHR (women: AUC=0.79, 95% CI =0.74-0.85 vs. men: AUC=0.84, 95% CI=0.79-0.88). Conclusion: This study demonstrated that the WC and WHtR indicators are stronger indicators compared to the others. However, further studies using desirable and also local cutoffs against more accurate techniques for body fat measurement such as computerized tumor (CT) scans and dual-energy x-ray absorptiometry (DEXA) are required.

Serum diiodotyrosine—a biomarker to differentiate destructive thyroiditis from Graves’ disease

2021 ◽  
Author(s):  
Naoya Fujita ◽  
Yosuke Ono ◽  
Azusa Sano ◽  
Motohiro Kimata ◽  
Seigo Oyama ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Diagnostic Methods ◽  
Graves Disease ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Chromatography Tandem Mass Spectrometry ◽  
Liquid Chromatography Tandem Mass

Objective: Conventional diagnostic methods are limited in their ability to differentiate destructive thyroiditis from Graves’ disease. We hypothesised that serum diiodotyrosine (DIT) and monoiodotyrosine (MIT) levels could be biomarkers for differentiating destructive thyroiditis from Graves’ disease. Design: Patients with destructive thyroiditis (n = 13) and Graves’ disease (n = 22) were enrolled in this cross-sectional study. Methods: We assayed the serum DIT and MIT levels using liquid chromatography-tandem mass spectrometry. A receiver operating characteristic (ROC) curve analysis was used to determine the sensitivity and specificity of the serum DIT and MIT levels as biomarkers for differentiating destructive thyroiditis from Graves’ disease. Results: The serum DIT and MIT levels were significantly higher in patients with destructive thyroiditis than in those with Graves’ disease. The ROC curve analysis showed that the serum DIT levels (≥ 359.9 pg/mL) differentiated destructive thyroiditis from Graves’ disease, significantly, with 100.0% sensitivity and 95.5% specificity (P < .001). The diagnostic accuracy of the serum MIT levels (≥119.4 pg/mL) was not as high as that of the serum DIT levels (sensitivity, 84.6%; specificity, 77.3%; P = .001). Conclusions: The serum DIT levels may serve as a novel diagnostic biomarker for differentiating destructive thyroiditis from Graves’ disease.

Prevalence of self-reported versus diagnosed dentinal hypersensitivity: a cross-sectional study and ROC curve analysis

2019 ◽  
Vol 77 (3) ◽  
pp. 219-223 ◽  
Author(s):  
Nayara Franciele Figueiredo Barroso ◽  
Polyana Matos Alcântara ◽  
Adriana Maria Botelho ◽  
Dhelfeson Willya Douglas-de-Oliveira ◽  
Patrícia Furtado Gonçalves ◽  
...  
Keyword(s):  
Roc Curve ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Sectional Study ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Dentinal Hypersensitivity

scholarly journals SAT0412 ACCURACY OF AN INSTRUMENT FOR SCREENING PSORIATIC ARTHRITIS AMONG PSORIATIC PATIENTS: RESULTS FROM THE MULTICENTRE ITALIAN STUDY HERACLES (SCREENING STRATEGIES FOR RHEUMATOLOGICAL REFERRAL OF PSORIATIC SUBJECTS AIMED TO DISCLOSE PSORIATIC ARTHRITIS)

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1158.2-1159
Author(s):  
G. De Marco ◽  
M. Manara ◽  
P. Gisondi ◽  
L. Idolazzi ◽  
R. Ramonda ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Diagnostic Delay ◽  
Curve Analysis ◽  
The Other ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Clinical Criteria ◽  
Significant Difference

Background:Identifying psoriatic arthritis (PsA) among people with psoriasis is often challenging due to low specificity of symptoms at early PsA stage and/or delayed referral to the rheumatologist. Screening instruments -assisting the dermatologist to decide when rheumatological assessment is beneficial- have potential to reduce the diagnostic delay.Objectives:To evaluate the accuracy of a dermatologist-filled-out questionnaire designed for screening PsA among psoriatic patients under dermatology care.Methods:HERACLES is a multicentre, cross-sectional study running at 9 Italian dermatology and rheumatology tertiary centres. All participants were under dermatology care for skin psoriasis. Previous diagnosis of PsA precluded eligibility. Dermatologists at each site assessed consecutive psoriatic subjects, filled in the specifically-designed HERACLES questionnaire (HQ, Figure 1) and finally referred the participants to rheumatologists for clinical evaluation. All participants filled in the ToPAS, PASE, PEST and EARP questionnaires. Rheumatologists assessed the participants regardless of the questionnaires’ scores. The gold standard applied to assess the instruments’ accuracy was the diagnosis of PsA as established by the rheumatologists. ROC curve analysis evaluated the performance of the scores associated with the clinical criteria listed in the HQ, estimating the sensitivity and specificity of different cut-off levels. Further exploratory ROC curve analysis compared HQ performance to that of the other four questionnaires tested.Figure 1.Results:Out of 759 subjects enrolled, 524 (69%) attended rheumatology assessment. Rheumatologists diagnosed PsA in 73/524 patients (13.9%, Figure 2). Mean age was 53 (SD 16) years and 46% were female. Mean psoriasis duration was 20 (SD 19) years. The area under the ROC curve of HQ was 0.775. The HQ score cut-off value of 2 yielded a sensitivity of 92% and a specificity of 47%; a cut-off value of 3 yielded a sensitivity of 66% and a specificity of 75%. The comparison between the ROC curve of the HQ and those of the other four questionnaires evaluated did not show any significant difference (p=0.523 versus TOPAS; p=0.201 versus PASE; p=0.345 versus PEST and p=0.240 versus EARP).Figure 2.Conclusion:The HERACLES questionnaire, a tool designed for dermatologists, showed good sensitivity and specificity in identifying PsA cases among subjects with cutaneous psoriasis.Acknowledgments:The HERACLES project was supported by a research grant from FIRA and Pfizer Italia SRLDisclosure of Interests:Gabriele De Marco: None declared, Maria Manara Consultant of: Consultant and/or speaker for Eli-Lilly, MSD, Sanofi-Genzyme, Novartis, Alfa Wasserman and Cellgene, Speakers bureau: Consultant and/or speaker for Eli-Lilly, MSD, Sanofi-Genzyme, Novartis, Alfa Wasserman and Cellgene, Paolo Gisondi: None declared, Luca Idolazzi: None declared, Roberta Ramonda Speakers bureau: Novartis, Celgene, Janssen, Pfizer, Abbvie, Lilly, Stefano Piaserico: None declared, Alberto Cauli: None declared, Marco Amedeo Cimmino: None declared, Veronica Tomatis: None declared, Carlo Salvarani: None declared, Rosanna Scrivo: None declared, Anna Zanetti: None declared, Greta Carrara: None declared, Carlo Alberto Scirè: None declared, Angelo Cattaneo: None declared, Antonio Marchesoni Speakers bureau: Abbvie, Pfizer, UCB, Novartis, Celgene, Eli Lilly

scholarly journals Augmented BMI and waist to height ratio as screening tools for overweight and obesity among school going children aged 5 to 15 years

2016 ◽  
Vol 4 (1) ◽  
pp. 174
Author(s):  
Ushakiran C. B. ◽  
Sowmya Jagadeeshwara ◽  
Bharathi Lingaraju
Keyword(s):  
Waist Circumference ◽  
Screening Tool ◽  
Care Delivery ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Screening Tools ◽  
Height Ratio ◽  
Government Schools ◽  
Cross Sectional ◽  
Waist To Height Ratio

Background: Worldwide raising trend in obesity among children is causing serious public health concerns and in developing countries it is threatening the viability of basic health care delivery. The objective of this study was to screen for overweight and obesity among school going children using the established methods as well as the newer screening tools and to compare the efficacy of the various screening toolsMethods: Prospective cross sectional study was conducted various government and non-government schools within city limits. And participants involves 1000 children in the age group of 5 to 15 years who met the predefined criteria were selected by purposive sampling.Results: Using BMI as a screening tool, 6.3% were identified as overweight and 5.8% as obese. Using Waist circumference alone, 5.2% were identified as overweight and 4.5% as obese. 13.8% and 5% were identified as overweight and obese respectively by waist circumference to height ratio. Using augmented BMI, 14.7% were identified as overweight and 4.3% as obese.Conclusions: Using WHTR and Augmented BMI, larger percentage of children were identified as overweight while the percentage of children identified as obese remained similar to using BMI or Waist circumference alone. 

scholarly journals Anthropometry, CT, and DXA as predictors of GH deficiency in premenopausal women: ROC curve analysis

2009 ◽  
Vol 106 (2) ◽  
pp. 418-422 ◽  
Author(s):  
Miriam A. Bredella ◽  
Andrea L. Utz ◽  
Martin Torriani ◽  
Bijoy Thomas ◽  
David A. Schoenfeld ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Gh Deficiency ◽  
Premenopausal Women ◽  
High Sensitivity ◽  
Curve Analysis ◽  
Visceral Adiposity ◽  
Roc Curve Analysis

Visceral adiposity is a strong determinant of growth hormone (GH) secretion, and states of GH deficiency are associated with increased visceral adiposity and decreased lean body mass. The purpose of our study was to determine the sensitivity and specificity of different methods of assessing body composition [anthropometry, dual-energy X-ray absorptiometry (DXA), and computed tomography (CT)] to predict GH deficiency in premenopausal women and threshold values for each technique to predict GH deficiency, using receiver operator characteristic (ROC) curve analysis. We studied a group of 45 healthy lean, overweight, and obese premenopausal women who underwent anthropometric measurements (body mass index, waist and hip circumferences, skin fold thickness), DXA, CT, and a GH-releasing hormone-arginine stimulation test. ROC curve analysis was used to determine cutoff values for each method to identify GH deficiency. Visceral adiposity measured by CT showed the highest sensitivity and specificity for identifying subjects with GH deficiency with a cutoff of >9,962 mm2 [area under the curve (AUC), 0.95; sensitivity, 100%; specificity, 77.8%; P = 0.0001]. Largest waist circumference showed high sensitivity and specificity with a cutoff of >101.7 cm (AUC, 0.89; sensitivity, 88.9%; specificity, 75%; P = 0.0001). When the ROC curves of visceral fat measured by CT and largest waist circumference were compared, the difference between the two methods was not statistically significant ( P = 0.36). Our study showed that the largest waist circumference predicts the presence of GH deficiency in healthy premenopausal women with high sensitivity and specificity and nearly as well as CT measurement of visceral adiposity. It can be used to identify women in whom GH deficiency is likely and therefore in whom formal GH stimulation testing might be indicated.

scholarly journals Neck Circumference as an Anthropometric Indicator of Central Obesity in Patients with Prediabetes: A Cross-Sectional Study

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Thunyarat Anothaisintawee ◽  
Nakarin Sansanayudh ◽  
Sangsulee Thamakaison ◽  
Dumrongrat Lertrattananon ◽  
Ammarin Thakkinstian
Keyword(s):  
Waist Circumference ◽  
Central Obesity ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Youden Index ◽  
Sectional Study ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Pairwise Correlation ◽  
Glucose Levels

Measurement of waist circumference has substantial variability and some limitations, while neck circumference is a simple and reliable anthropometric measure. This study aimed to assess the association between neck circumference and waist circumference and to identify the best cutoff of neck circumference that could predict central obesity in prediabetic patients. This cross-sectional study included adult patients with prediabetes, defined as having fasting plasma glucose levels ranging from 100 to 125 mg/dL or HbA1c ranging from 5.7 to 6.49%, who visited the outpatient clinic of Family Medicine Department, Ramathibodi Hospital, Thailand, during October 2014 and March 2016. Neck circumference was measured from the level just below the laryngeal prominence perpendicular to the long axis of the neck. Central obesity was defined as having waist circumference measurements greater than 90 and 80 cm for males and females, respectively. The correlation between neck circumference and waist circumference was explored by applying pairwise correlation coefficient. Receiver operating characteristic (ROC) curve analysis was performed and Youden index equal to “sensitivity – (1-specificity)” was calculated. Neck circumference that yielded the maximum Youden index was determined as the optimal cutoff point for prediction of central obesity. There were 1,534 patients eligible for this study. After adjusting for covariables, neck circumference was found to be significantly associated with waist circumference in both females and males, with β-coefficients of 1.01 (95% CI: 0.83, 1.20) and 0.65 (95% CI: 0.46, 0.85), respectively. After applying the ROC analysis, neck circumferences ≥ 32 cm in females and ≥ 38 cm in males were determined as the best cutoff values to predict central obesity. Neck circumference is strongly correlated with waist circumference in prediabetics and should be considered as an alternative to the waist circumference measurement in screening for central obesity.

scholarly journals Development of the Lebanese insomnia scale (LIS-18): a new scale to assess insomnia in adult patients

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Souheil Hallit ◽  
Hala Sacre ◽  
Chadia Haddad ◽  
Diana Malaeb ◽  
Gloria Al Karaki ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Cross Sectional Study ◽  
Adult Patients ◽  
Good Sensitivity ◽  
Cross Sectional ◽  
Five Factors ◽  
Optimal Score ◽  
Positive Predicted Value ◽  
Healthy Control

Abstract Objective To define the development and validation of the Lebanese Insomnia Scale (LIS-18) to be used for the evaluation of insomnia in Lebanese adult patients. Methods A first cross-sectional study, conducted between August 2017 and April 2018, enrolled 789 participants (sample 1). A second sample was recruited in May 2018 to confirm the results obtained from the first sample. Results Five factors derived from the LIS-18 scale items with an Eigenvalue over 1, explaining a total of 59.64% of the variance (Cronbach’s alpha = 0.821). The first ROC curve, comparing participants with diagnosed insomnia to healthy individuals, showed that the optimal score was seen at a cutoff of 58.00, with a good sensitivity and specificity at this cutoff (93.3 and 88.4%, respectively). A second ROC curve, comparing participants taking drug medication for insomnia vs. those not taking drug, showed that the optimal score was seen at a cutoff of 52.50, with a good sensitivity and specificity at this cutoff (89.5 and 80.0%, respectively). A third ROC curve, comparing participants diagnosed by a physician or taking drug medication for insomnia and healthy control without insomnia drug, showed that the optimal score was seen at 51.50, with good sensitivity and specificity at this cutoff as well (90.0 and 78.10%, respectively). The positive predicted value (PPV) of the LIS-18 score in sample 2 was 93.3%, whereas the negative predicted value (NPV) was 88.4%. Conclusion The results demonstrate that the LIS-18 can be used in clinical practice and research to measure insomnia.

scholarly journals Mesothelin versus Ca125 in Screening the Ovarian Malignancy

2016 ◽  
pp. 107
Author(s):  
Meliana Jayasaputra ◽  
Freddy W Wagey ◽  
Max R Rarung
Keyword(s):  
Tumor Marker ◽  
Sensitivity And Specificity ◽  
Cross Sectional Study ◽  
Ca 125 ◽  
Ovarian Malignancy ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Auc Value ◽  
Spss Software ◽  
Higher Sensitivity

Objective: To determine the sensitivity and specificity of mesothelin compared with Ca-125 as a tumor marker in predicting ovarian malignancy. Method: The cross sectional study design with diagnostic tests was conducted in 30 samples of patients undergoing elective laparotomy due to ovarian tumor. We compared the sensitivity and specificity between mesothelin and Ca-125, then the data were analyzed using SPSS software version 22.0. Result: According to the ROC curve analysis, optimal sensitivity and specificity value of mesothelin was 63.2% and 54.5% at a cut-off point of 0.45 pg/ml; or 42.1% and 72.7% at a cut-off point of 0.55 pg/ml. While the value of both optimal sensitivity and specificity of Ca-125 was 73.7% and 63.6% at a cut-off point of 46.63 U/ml. Conclusion: Mesothelin and Ca-125 are not different significantly for the AUC value of 50%. Due to higher sensitivity and specificity of Ca-125 than mesothelin, Ca-125 is still used as tumor marker for screening the ovarian malignancy. [Indones J Obstet Gynecol 2016; 4-2: 107-110] Keywords: Ca-125, mesothelin, ovarian malignancy

scholarly journals Dietary inflammatory index (DII) may be associated with hypertriglyceridemia waist circumference phenotype in overweight and obese Iranian women: a cross sectional study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Atefeh Tavakoli ◽  
Atieh Mirzababaei ◽  
Hanieh Moosavi ◽  
Sanaz Mehranfar ◽  
Seyed-Ali Keshavarz ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Dietary Inflammatory Index ◽  
Obese Women ◽  
Obese People ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Hypertriglyceridemic Waist ◽  
Positive Significant Correlation

Abstract Objective Recent studies have shown that increased dietary inflammatory index (DII) score or consumption of pro-inflammatory foods can lead to increased waist circumference (WC) as well as triglyceride (TG) concentrations in obese people. The purpose of this study is to examine the association between DII and hypertriglyceridemic waist circumference phenotype (HTGWCP) in women with overweight and obesity. Results There was a positive significant correlation between DII and HTGWCPs. In other words, with an increase in DII score or higher consumption of pro-inflammatory foods, the odds of having abnormal phenotypes including; enlarged waist normal TG (EWNT) (OR = 2.85, 95% CI 1.02 to 7.98, P for trend = 0.04), normal waist enlarged TG (NWET) (OR = 5.85, 95% CI 1.1 to 31.11, P for trend = 0.03) and enlarged waist enlarged TG (EWET) (OR = 3.13, 95% CI 0.95 to 10.27, P for trend = 0.05) increase compared to normal waist normal TG (NWNT) phenotype. In conclusion; increasing DII scores can increase abnormal phenotypes and therefore may increase WC and TG levels in overweight and obese women.

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