Association of Anthropometric Measurement Methods with Cardiovascular Disease Risk in Turkey
Öz
Objective: The aim of this study is to compare the predictive power of anthropometric indices for risk of developing Coronary Heart Disease (CHD) or CHD death.
Methods: We used cross-sectional data from nationally representative Chronic Diseases and Risk Factors Survey conducted by the Ministry of Health in 2011. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist to height ratio (WHtR), body adiposity index (BAI) and A Body Shape Index (ABSI) formed the anthropometric measures. For each participant risk of developing CHD or dying from CVDs were calculated based on Framingham and SCORE risk equations. Predictive ability of anthropometric measurements was assessed by receiver operating characteristic (ROC) curves.
Results: Anthropometric measurements of central obesity recorded higher area under the ROC curve (AUC) values than BMI in both men and women. While ABSI had the highest AUC values for Framingham 10-year predicted risk (FRS) for CHD death (AUC = 0.613), SCORE 10-year risk for CVD death (AUC = 0.633), in women AUC for ABSI was the highest for only SCORE risk threshold (AUC = 0.705). Among women, WHtR was found to be the best indicator for estimating CHD incidence (AUC = 0.706) and death from CVD (AUC = 0.696).
Conclusion: Compared to traditional anthropometric measurements such as BMI, ABSI was a better indicator for given thresholds for estimating the risk of developing CHD and CVD death in men. Among women WHtR made better predictions for FRS thresholds, however, ABSI was better for predicting 10-year risk of CVD death calculated by SCORE risk equation.
Key words: Obesity, Framingham risk score, coronary heart disease
Anahtar Kelimeler
Kaynakça
- Obesity and overweight. Secondary obesity and overweight
- [http://www.who.int/mediacentre/factsheets/fs311/en/]
- Klein S, Allison DB, Heymsfield SB, et al. Waist circumference
- and cardiometabolic risk: a consensus statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Am J Clin Nutr 2007;85:1197-1202.
- Stevens GA, Singh GM, Lu Y, et al. National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr 2012;10:22.
- Satman I, Omer B, Tutuncu Y et al. Twelve-year trends in the
- prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol 2013;28:169-180.
- Nelson MR. Management of high blood pressure in those without overt cardiovascular disease utilizing absolute risk scores. Int J Hypertension 2011;21:235-340.
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
-
Yazarlar
Kaan Sözmen
Bu kişi benim
Belgin Ünal
Bu kişi benim
Sibel Sakarya
Bu kişi benim
Gönül Dinç
Bu kişi benim
Nazan Yardım
Bu kişi benim
Bekir Keskinkılıç
Bu kişi benim
Gül Ergör
Bu kişi benim
Yayımlanma Tarihi
1 Mart 2016
Gönderilme Tarihi
29 Mart 2016
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2016 Cilt: 43 Sayı: 1
Cited By
Untangling Waist Circumference and Hip Circumference from Body Mass Index with a Body Shape Index, Hip Index, and Anthropometric Risk Indicator
Metabolic Syndrome and Related Disorders
https://doi.org/10.1089/met.2017.0166Anthropometrics, Metabolic Syndrome, and Mortality Hazard
Journal of Obesity
https://doi.org/10.1155/2018/9241904An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements
Journal of Obesity
https://doi.org/10.1155/2016/8094275Can an Exercise-Based Educational and Motivational Intervention be Durably Effective in Changing Compliance to Physical Activity and Anthropometric Risk in People with Type 2 Diabetes? A Follow-Up Study
International Journal of Environmental Research and Public Health
https://doi.org/10.3390/ijerph16050701Obezitenin Belirlenmesinde Kullanılan Beden Kütle İndeksi, Bel Çevresi, Bel Kalça Oranı Metotlarının Karşılaştırılması
Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
https://doi.org/10.31592/aeusbed.732550Prevalence of overweight, obesity and abdominal obesity in Health Sciences Faculty students
Clinical Nutrition ESPEN
https://doi.org/10.1016/j.clnesp.2021.09.008Evaluation of Visceral Adiposity Indexes Associated with Atherogenic Plasma Index in Individuals with Type 2 Diabetes
Düzce Tıp Fakültesi Dergisi
https://doi.org/10.18678/dtfd.1055306Individual-level determinants of depressive symptoms and associated diseases history in Turkish persons aged 15 years and older: A population-based study
Frontiers in Psychiatry
https://doi.org/10.3389/fpsyt.2022.983817Investigation of Hip Extension and Flexion Muscle Strength in Female Weightlifting Athletes
Dicle Tıp Dergisi
https://doi.org/10.5798/dicletip.1313136Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index
Nutrition
https://doi.org/10.1016/j.nut.2023.112135Bir Yaşlı Popülasyonunda Periodontal Durumun Fiziksel Aktivite, Beslenme ve Yaşam Kalitesi ile İlişkisi
Süleyman Demirel Üniversitesi Sağlık Bilimleri Dergisi
https://doi.org/10.22312/sdusbed.1293023The relationship between anthropometric measurements and coronary flow models: morphofunctional assessment using thrombolysis in myocardial infarction frame counting
Surgical and Radiologic Anatomy
https://doi.org/10.1007/s00276-026-03882-2Factors Affecting Quality of Life in Heart Failure Patients: Nutrition, Anthropometric Measurements and Individual Variables
Ege Üniversitesi Hemşirelik Fakültesi Dergisi
https://doi.org/10.53490/egehemsire.1673071