Dépistage de la dysglycémie au moyen d’indices anthropométriques dans une population d’adultes à oman

Translated title of the contribution: Screening for dysglycaemia using anthropometric indices in an adult population in oman

Shyam Ganguly, Kamalesh Sarkar, Samir al-Adawi, Abdul Aziz Al-Mahrezi

Research output: Contribution to journalArticle

Abstract

Background: A previous community-based cross-sectional survey conducted in a semi-urban community revealed that 44% of people aged 18+ years manifest dysglycaemia, which appears to echo the national trend. There is lack of studies examining the role of anthropometric indices in people with dysglycaemia. Aim: We explored the screening ability of anthropometric indices, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) to detect dysglycaemia in the adult Omani population based on a community-based survey conducted in 2005. The potential of anthropometric indices to detect the presence of glycaemic disorder could aid in detection, prevention and health education. Methods: A total of 480 male and 795 female subjects aged 18+ years were included in this study. The prevalence of dysglycaemia was analysed using the American Diabetic Association criteria. Logistic regression approach and Receiver-Operating Characteristic (ROC) curve analysis was performed. Results: The analysis revealed that mean values of age, BMI, WC, WHR and WHtR increased significantly from normoglycemic to pre-diabetic and further to diabetic in both sexes (P<0.0001). Dysglycemia showed an increasing prevalence with age. WHtR showed the highest sensitivity for detecting dysglycemia in all age groups compared to other anthropometric indices with sensitivity rate of 94.4% in ≥45 years, 88.6% in (25-44) years and 45.6% in age group <25 years. Conclusion: Among the anthropometric indices we investigated, WHtR was the best predictor of dysglycaemia among Omani adults aged > 25 years.

Original languageFrench
Pages (from-to)254-261
Number of pages8
JournalEastern Mediterranean Health Journal
Volume24
Issue number3
DOIs
Publication statusPublished - Mar 1 2018

Fingerprint

Oman
Waist-Hip Ratio
Waist Circumference
Body Mass Index
Health Education
ROC Curve
Population
Cross-Sectional Studies
Logistic Models
Waist-Height Ratio
Surveys and Questionnaires

Keywords

  • Anthropometric measurements
  • Diabetes
  • Dysglycemia
  • ROC Curve

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Dépistage de la dysglycémie au moyen d’indices anthropométriques dans une population d’adultes à oman. / Ganguly, Shyam; Sarkar, Kamalesh; al-Adawi, Samir; Al-Mahrezi, Abdul Aziz.

In: Eastern Mediterranean Health Journal, Vol. 24, No. 3, 01.03.2018, p. 254-261.

Research output: Contribution to journalArticle

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abstract = "Background: A previous community-based cross-sectional survey conducted in a semi-urban community revealed that 44{\%} of people aged 18+ years manifest dysglycaemia, which appears to echo the national trend. There is lack of studies examining the role of anthropometric indices in people with dysglycaemia. Aim: We explored the screening ability of anthropometric indices, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) to detect dysglycaemia in the adult Omani population based on a community-based survey conducted in 2005. The potential of anthropometric indices to detect the presence of glycaemic disorder could aid in detection, prevention and health education. Methods: A total of 480 male and 795 female subjects aged 18+ years were included in this study. The prevalence of dysglycaemia was analysed using the American Diabetic Association criteria. Logistic regression approach and Receiver-Operating Characteristic (ROC) curve analysis was performed. Results: The analysis revealed that mean values of age, BMI, WC, WHR and WHtR increased significantly from normoglycemic to pre-diabetic and further to diabetic in both sexes (P<0.0001). Dysglycemia showed an increasing prevalence with age. WHtR showed the highest sensitivity for detecting dysglycemia in all age groups compared to other anthropometric indices with sensitivity rate of 94.4{\%} in ≥45 years, 88.6{\%} in (25-44) years and 45.6{\%} in age group <25 years. Conclusion: Among the anthropometric indices we investigated, WHtR was the best predictor of dysglycaemia among Omani adults aged > 25 years.",
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