Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study
Back ground. Diabetes mellitus is an emerging noncommunicable disease in Ethiopia. Overlooking an appropriate tool for identifying diabetes and prediabetes would have significant impact for future diabetes and prediabetes projections and its management. Therefore, the study aims to examine the effec...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Nutrition and Metabolism |
| Online Access: | http://dx.doi.org/10.1155/2020/8425912 |
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| author | Ataklti Gebertsadik Woldegebriel Kiros Ajemu Fenta Asfawosen Berhe Aregay Abraham Desta Aregay Nega Bezabih Mamo Tewolde Woldearegay Wubayehu Alemayehu Bayray Afework Mulugeta |
| author_facet | Ataklti Gebertsadik Woldegebriel Kiros Ajemu Fenta Asfawosen Berhe Aregay Abraham Desta Aregay Nega Bezabih Mamo Tewolde Woldearegay Wubayehu Alemayehu Bayray Afework Mulugeta |
| author_sort | Ataklti Gebertsadik Woldegebriel |
| collection | DOAJ |
| description | Back ground. Diabetes mellitus is an emerging noncommunicable disease in Ethiopia. Overlooking an appropriate tool for identifying diabetes and prediabetes would have significant impact for future diabetes and prediabetes projections and its management. Therefore, the study aims to examine the effectiveness of anthropometric measurements for identifying prediabetes and diabetes in Mekelle city, Tigray, Northern Ethiopia. Methods. The study involved a cross-sectional survey carried out from October 2015 to February 2016 among 1504 subjects aged from 18 to 75 years of age. Receiver operating characteristic (ROC) was used to select the most effective anthropometric cut-off point among waist circumference, waist-to-hip ratio, waist-to-height ratio, and BMI for identifying prediabetic and diabetes. Statistical significance was declared at p value of ≤0.05. Results. Waist circumference was found better for identifying diabetes (AUC = 0.69) and prediabetes (AUC = 0.63) in women, respectively. Waist-to-hip ratio was better identifying diabetes (AUC = 0.67) while waist circumference-to-height ratio was better identifying prediabetes (AUC = 0.63) in men compared to body mass index. The optimal cut-off point with maximum sensitivity and specificity of waist circumference for identifying diabetes and prediabetes was 83.5 cm and 82.9 cm in women, respectively. The optimal ut-off point with maximum sensitivity and specificity of waist-to-hip ratio for identifying diabetes and prediabetes was 0.97 and 0.82 in men, respectively. Conclusion. Waist circumference and waist-to-hip ratio exhibited better discriminate performance than BMI for identifying prediabetes and diabetes in women and men, respectively. |
| format | Article |
| id | doaj-art-64347d399d264baa8b98fad921671470 |
| institution | Kabale University |
| issn | 2090-0724 2090-0732 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Nutrition and Metabolism |
| spelling | doaj-art-64347d399d264baa8b98fad9216714702025-02-03T06:06:26ZengWileyJournal of Nutrition and Metabolism2090-07242090-07322020-01-01202010.1155/2020/84259128425912Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional StudyAtaklti Gebertsadik Woldegebriel0Kiros Ajemu Fenta1Asfawosen Berhe Aregay2Abraham Desta Aregay3Nega Bezabih Mamo4Tewolde Woldearegay Wubayehu5Alemayehu Bayray6Afework Mulugeta7Tigray Health Research Institute, Mekelle, EthiopiaTigray Health Research Institute, Mekelle, EthiopiaTigray Health Research Institute, Mekelle, EthiopiaTigray Health Research Institute, Mekelle, EthiopiaTigray Health Research Institute, Mekelle, EthiopiaTigray Health Research Institute, Mekelle, EthiopiaSchool of Public Health, Mekelle University, Mekelle, EthiopiaSchool of Public Health, Mekelle University, Mekelle, EthiopiaBack ground. Diabetes mellitus is an emerging noncommunicable disease in Ethiopia. Overlooking an appropriate tool for identifying diabetes and prediabetes would have significant impact for future diabetes and prediabetes projections and its management. Therefore, the study aims to examine the effectiveness of anthropometric measurements for identifying prediabetes and diabetes in Mekelle city, Tigray, Northern Ethiopia. Methods. The study involved a cross-sectional survey carried out from October 2015 to February 2016 among 1504 subjects aged from 18 to 75 years of age. Receiver operating characteristic (ROC) was used to select the most effective anthropometric cut-off point among waist circumference, waist-to-hip ratio, waist-to-height ratio, and BMI for identifying prediabetic and diabetes. Statistical significance was declared at p value of ≤0.05. Results. Waist circumference was found better for identifying diabetes (AUC = 0.69) and prediabetes (AUC = 0.63) in women, respectively. Waist-to-hip ratio was better identifying diabetes (AUC = 0.67) while waist circumference-to-height ratio was better identifying prediabetes (AUC = 0.63) in men compared to body mass index. The optimal cut-off point with maximum sensitivity and specificity of waist circumference for identifying diabetes and prediabetes was 83.5 cm and 82.9 cm in women, respectively. The optimal ut-off point with maximum sensitivity and specificity of waist-to-hip ratio for identifying diabetes and prediabetes was 0.97 and 0.82 in men, respectively. Conclusion. Waist circumference and waist-to-hip ratio exhibited better discriminate performance than BMI for identifying prediabetes and diabetes in women and men, respectively.http://dx.doi.org/10.1155/2020/8425912 |
| spellingShingle | Ataklti Gebertsadik Woldegebriel Kiros Ajemu Fenta Asfawosen Berhe Aregay Abraham Desta Aregay Nega Bezabih Mamo Tewolde Woldearegay Wubayehu Alemayehu Bayray Afework Mulugeta Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study Journal of Nutrition and Metabolism |
| title | Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study |
| title_full | Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study |
| title_fullStr | Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study |
| title_full_unstemmed | Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study |
| title_short | Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study |
| title_sort | effectiveness of anthropometric measurements for identifying diabetes and prediabetes among civil servants in a regional city of northern ethiopia a cross sectional study |
| url | http://dx.doi.org/10.1155/2020/8425912 |
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