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266934

Determining The Best Predictive Anthropometric Assessment Tool for Type-2 Diabetes Mellitus: A case-control Study in Egyptian Adults

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Last updated: 03 Jan 2025

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Abstract

Background: The prevalence of type 2 diabetes mellitus (DM) is greatly associated with obesity.
This study aimed to determine which anthropometric measure is the most predictive for type 2
diabetes mellitus (T2DM) in Egyptian adults concerning body mass index (BMI), waist
circumference (WC), waist-to-height ratio (WHTR) and waist-to-hip ratio (WHR). Methods: A
case-control study was conducted on 202 randomly selected individuals, 101 of whom were
diagnosed T2DM (≥ 20 years old) patients attending the medical units of Minia University hospital
and 101 controls who were recruited from the local community and were confirmed negative T2DM
diagnosis. Study Tool: An interview questionnaire consists two parts: 1) Demographic
characteristics, and 2) clinical data including disease history of T2DM, laboratory investigations and
anthropometric measurements. The anthropometric measurements were measured according to
standard World Health Organization protocols. Results: Cases aged 54.68±7.38 with 63.4% were
male while controls aged 47.7±11.54 and 35.6% were males. Receiver operating curve analysis
showed WC had the highest discriminatory power in men (area- under-the-curve [AUC] = 0.905 at
99.5 cm) and women (AUC=0.801 at 103.5 cm), while AUCs in men and women were (0.885 and
0.784) for WHTR, (0.790 and 0.753) for BMI, and (0.669 and 0.663) for WHR, respectively. After
binary logistic regression, age-adjusted odds ratios confirmed the association. Conclusions: WC
showed the best discriminatory power among other anthropometric measures in predicting T2DM in
Egyptian adults at 99.5 cm for men and 103.5 cm for women. Recommendations: the study should
be replicated on large probability sampling among Egyptians.

DOI

10.21608/ejhc.2022.266934

Keywords

anthropometric measures, Diabetes mellitus, prediction, Receiver Operating Characteristics

Authors

First Name

Sherif

Last Name

Nesnawy

MiddleName

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Affiliation

Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt.

Email

shriefsayed@mu.edu.eg

City

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Orcid

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First Name

Lobna

Last Name

M. Gamal

MiddleName

-

Affiliation

Critical Care Nursing, Faculty of Nursing, Minia University, Minia, Egypt.

Email

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City

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Orcid

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First Name

Eman

Last Name

Fadl Abd-Elkhalik

MiddleName

-

Affiliation

Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt

Email

-

City

-

Orcid

-

First Name

Mohamed

Last Name

Y. Elbanna

MiddleName

-

Affiliation

Community Health Nursing Department, Faculty of Nursing- Cairo University, Cairo, Egypt

Email

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City

-

Orcid

-

First Name

Sahar

Last Name

H. Taha

MiddleName

-

Affiliation

Adult Medical-surgical Nursing, Faculty of Nursing, Minia University, Minia, Egypt

Email

-

City

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Orcid

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Volume

13

Article Issue

3

Related Issue

35657

Issue Date

2022-09-01

Receive Date

2022-10-24

Publish Date

2022-09-01

Page Start

1,498

Page End

1,510

Print ISSN

1687-9546

Link

https://ejhc.journals.ekb.eg/article_266934.html

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https://ejhc.journals.ekb.eg/service?article_code=266934

Order

266,934

Type

Original Article

Type Code

631

Publication Type

Journal

Publication Title

Egyptian Journal of Health Care

Publication Link

https://ejhc.journals.ekb.eg/

MainTitle

Determining The Best Predictive Anthropometric Assessment Tool for Type-2 Diabetes Mellitus: A case-control Study in Egyptian Adults

Details

Type

Article

Created At

22 Jan 2023