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2022: Two-year Impact Factor: 4.4
Scopus Journal Metrics
CiteScore (2022): 5.3
SNIP(2022):1.389
SJR(2022): 0.78 		Platinum
Open Access
Health Promot Perspect. 2020;10(2): 142-147. doi: 10.34172/hpp.2020.23
PMID: 32296627        PMCID: PMC7146042

Original Article

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

Helda Tutunchi 1 ORCID, Mehrangiz Ebrahimi-Mameghani 2, Alireza Ostadrahimi 3, Mohammad Asghari-Jafarabadi 4 * ORCID

Cited by CrossRef: 20

1- Tuglo L. Comparison of adiposity anthropometric indices and their associations with visceral fat levels determined by bioelectrical impedance analysis among diabetic patients. Sci Rep. 2022;12(1) [Crossref]
2- Hajhashemy Z, Lotfi K, Shahdadian F, Rouhani P, Heidari Z, Saneei P. Dietary insulin index and insulin load in relation to hypertriglyceridemic waist phenotype and low brain derived neurotrophic factor in adults. Front Nutr. 2022;9 [Crossref]
3- Low A, Prats-Sedano M, McKiernan E, Carter S, Stefaniak J, Nannoni S, Su L, Dounavi M, Muniz-Terrera G, Ritchie K, Lawlor B, Naci L, Malhotra P, Mackay C, Koychev I, Ritchie C, Markus H, O’Brien J. Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study. Alz Res Therapy. 2022;14(1) [Crossref]
4- Berli C, Scholz U. Long-Term and Transfer Effects of an Action Control Intervention in Overweight Couples: A Randomized Controlled Trial Using Text Messages. Front Psychol. 2021;12 [Crossref]
5- Talavera L, Mendez Estrada R, Contreras Paniagua A, Jiménez Pavón D, Caire Juvera G, Ortega Vélez M. Eficiencia de indicadores antropométricos en el diagnóstico de obesidad abdominal infantil. RESPYN. 2023;22(1):1 [Crossref]
6- Abonyi M, Ugwu T, Eze C. Prevalence and risk factors for Diabetic Retinopathy in a tertiary institution in South Eastern Nigeria. Ann Clin Biomed Res. 2023;4(2) [Crossref]
7- Salinas-Mandujano R, Reynoso-Camacho R, Salgado L, Ramos-Gomez M, Pérez-Ramírez I, Aguilar-Galarza A, Moreno-Celis U, Anaya-Loyola M. A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults. EJIHPE. 2023;13(10):2063 [Crossref]
8- Saadati K, Kordbageri M, Chaboksavar F, Jahangasht Ghoozlu K, Parvizi S, Shamsalinia A, Ghadimi R, Porasgari Z, Ghaffari F, Bastani P. Investigating the mediating role of food involvement in the relationship between eating restrictions, nutritional knowledge, and dietary patterns in adults. PLoS ONE. 2024;19(4):e0301533 [Crossref]
9- Laouani A, Nasrallah H, Sassi A, Ferdousi F, Kalai F, Hasni Y, Isoda H, Saguem S. Antiobesity and Hypolipidemic Potential of Nitraria retusa Extract in Overweight/Obese Women: A Randomized, Double-Blind, Placebo-Controlled Pilot Study. Nutrients. 2024;16(2):317 [Crossref]
10- da Silva N, Pinho C, Diniz A. Evaluation of ultrasonographic approaches aimed at determining distinct abdominal adipose tissue depots. 2023; [Crossref]
11- Svarovskaya A, Garganeeva A. Anthropometric indices obesity and cardiometabolic risk: is there a link?. Cardiovasc Ther Prev. 2021;20(4):2746 [Crossref]
12- Sharma S, Mehta S, Mondal N, Jain M, Verma D, Kamboj K, Brar K, Narayanasamy N. Reassessment of reference values of metabolic markers: A meta-analysis study. Human Nutrition & Metabolism. 2023;33:200216 [Crossref]
13- Naqvi M, Falak M, Badar S, Burki S, Aslam M, Dherwani A, Baqir S. Association of Physical Activity and Obesity in Health Care Professionals of Karachi. TT. 2023;:23 [Crossref]
14- Bruins A, Keeley J, Uhley V, Anyadike K, Kemp K. White Blood Cell and C-Reactive Protein Levels Are Similar in Obese Hispanic White Women Reporting Adherence to a Healthy Plant, Unhealthy Plant, or Animal-Based Diet, unlike in Obese Non-Hispanic White Women. Nutrients. 2024;16(4):556 [Crossref]
15- Rosales-Ricardo Y, Ortiz-Perez M, Lopez-Merino F, Perez-Garcia B. Obesity and overweight as an international public health problem. RB. 2023;8(3):1 [Crossref]
16- Tutunchi H, Ebrahimi-Mameghani M, Asghari-Jafarabadi M, Farrin N, Tabrizi S, Vaghef-Mehrabany E, Ostadrahimi A. Is the modified household food security survey (HFSS) questionnaire a practical tool for screening food insecurity? Evidence from northwest of Iran. BMC Public Health. 2020;20(1) [Crossref]
17- Gough Courtney M, Carroll A. Sex differences in overweight and obesity among Mexican Americans in the National Health and Nutrition Examination Survey: A comparison of measures. SSM - Population Health. 2022;20:101297 [Crossref]
18- Alvero-Cruz J, Fernandez Vazquez R, Martinez Blanco J, Rosety I, Diaz A, Rosety M, Rosety-Rodriguez M, Ordonez F, Perna S. Proposed cut-off points for anthropometric and bioelectrical measures based on overweight and obesity criteria in Spanish institutionalised elderly people. PLoS ONE. 2021;16(3):e0248028 [Crossref]
19- Askarizadeh F, Heirani M, Khorrami-Nejad M, Narooie-Noori F, Khabazkhoob M, Ostadrahimi A. Is there any connection between choroidal thickness and obesity?. Ophthalmol Eye Dis. 2022;14:251584142211006 [Crossref]
20- Maherdika M, Hendrianingtyas M. Relationship between Body Anthropometric Measurement and Parathyroid Hormone in Female Subjects. Indonesian J Clin Pathol Med Lab. 2022;28(2):197 [Crossref]
21- Tutunchi H, Saghafi-Asl M, Ebrahimi-Mameghani M, Ostadrahimi A. Food Insecurity and Lipid Profile Abnormalities Are Associated with an Increased Risk of Nonalcoholic Fatty Liver Disease (NAFLD): A Case–Control Study. Ecology of Food and Nutrition. 2021;60(4):508 [Crossref]
22- Ferrero-Hernández P, Farías-Valenzuela C, Jofré-Saldía E, Marques A, Kovalskys I, Gómez G, Rigotti A, Cortés L, García M, Pareja R, Herrera-Cuenca M, Fisberg M, Silva D, Sadarangani K, Ferrari G. Physical activity and daily steps cut offs points for overweight/obesity prevention among eight Latin American countries. Sci Rep. 2022;12(1) [Crossref]
23- Ghannadiasl F. Novel anthropometric predictors of subjective weight among women. Women & Health. 2021;61(9):889 [Crossref]
24- Streng A, Loef B, Dollé M, van der Horst G, Chaves I, Proper K, van Kerkhof L. Night shift work characteristics are associated with several elevated metabolic risk factors and immune cell counts in a cross-sectional study. Sci Rep. 2022;12(1) [Crossref]

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