DIABETES RISK PROFILING IN YOUNG ADULT NIGERIANS LIVING IN CROSS RIVER STATE: A CROSS-SECTIONAL STUDY OF FOUR SCREENING INSTRUMENTS.

Formerly Published in Vol. 12 No. 2 Jan. - Jun., 2025

Authors

  • I. I. Ijeh Department of Biochemistry, College of Natural Sciences, Michael Okpara, University of Agriculture, Umudike, Abia state, Nigeria Author
  • U. A. Nwosu Department of Biochemistry, College of Natural Sciences, Michael Okpara, University of Agriculture, Umudike, Abia state, Nigeria Author
  • C. O. Okonkwo Department of Biochemistry Faculty of Basic Medical Sciences, University of Calabar, Calabar, Cross Rivers state Nigeria Author
  • S. N. Okonkwo Department of Ophthalmology, Faculty of Clinical Sciences, University of Calabar, Calabar, Cross River State Nigeria Author
  • J. I. Atangwho Department of Biochemistry Faculty of Basic Medical Sciences, University of Calabar, Calabar, Cross Rivers state Nigeria Author
  • O. Enang Endocrinology, Diabetes and Metabolism Unit, Department of Internal Medicine, University of Calabar, Teaching Hospital, Calabar Cross River State Nigeria Author
  • U. I. Ezeani Endocrinology, Diabetes and Metabolism Unit, Department of Internal Medicine, & Department of Community Medicine Federal Medical Centre, Umuahia, Abia state Author
  • G. E. Egbung Department of Biochemistry Faculty of Basic Medical Sciences, University of Calabar, Calabar, Cross Rivers state Nigeria Author
  • Godfrey O.C Department of Biochemistry Faculty of Basic Medical Sciences, University of Calabar, Calabar, Cross Rivers state Nigeria Author
  • C. Ejike Department of Biochemistry Faculty of Basic Medical Sciences, Alex Ekwueme Federal University, Ndufu Alike Ikwo, Ebonyi state Nigeria Author
  • C. C. Ikewuchi Department of Biochemistry, Faculty of Sciences, University of Port Harcourt, Port Harcour Author
  • U. Onyeonoro Endocrinology, Diabetes and Metabolism Unit, Department of Internal Medicine, & Department of Community Medicine Federal Medical Centre, Umuahia, Abia state Author
  • A. C. Nnamudi Department of Medical Biochemistry, Faculty of Basic Medical Sciences, University of Delta Agbor, Delta state, Nigeria Author

Keywords:

Diabetes mellitus, risk scoring, ADART, AUSDRISK, FINDRISC, IDRS, BMI, obesity

Abstract

BACKGROUND
Type 2 diabetes mellitus (T2DM) is a global health concern, particularly in low- and middle-income countries such as Nigeria. This study evaluated predictive efficiency of four diabetes risk assessment tools—FINDRISC, AUSDRISK, IDRS, and ADART—and examined their correlation with fasting blood glucose (FBG) and body mass index (BMI) in apparently healthy young adults aged 18–35 years from urban and rural areas of Cross River State, Nigeria.

METHODS
A cross sectional study. Data were collected from 265 participants through questionnaires, anthropometric measurements, and fasting blood glucose tests.

RESULTS
FINDRISC and IDRS primarily identified participants as low risk, while ADART categorized most as high risk. Correlations between risk scores and FBG were weak for FINDRISC, IDRS, and AUSDRISK, and not significant for ADART. BMI assessment showed 17.4% overweight and 10.9% obese participants. ADART displayed high sensitivity but low specificity and positive predictive value. IDRS showed good specificity but lacked sensitivity. AUSDRISK presented the best balance with an area under the curve (AUC) of 0.61. FINDRISC had moderate specificity but no sensitivity in this population.

CONCLUSION
The tested diabetes risk tools had limited efficacy in detecting glycemic abnormalities in young adults in Cross River State, but some moderately correlated with overweight and obesity. Adaptation of existing tools for young Nigerian populations is needed.

1 0

Downloads

Download data is not yet available.

References

1. Olamoyegun MA, Alare K, Afolabi SA, et al. A systematic review and meta-analysis of the prevalence and risk factors of type 2 diabetes mellitus in Nigeria. Clin Diabetes Endocrinol. 2024;10(1):43. Available from: https://doi.org/10.1186/s40842-024-00209-1

2. Ekure E, Ovenseri-Ogbomo G, Osuagwu UL, et al. A systematic review of diabetes risk assessment tools in sub-Saharan Africa. Int J Diabetes Dev Ctries. 2022;42:380-93. Available from: https://doi.org/10.1007/s13410-022-01045-8

3. Bashir Musa Ado A, Ibrahim YA, Mukhtar M, et al. Prediabetes burden in Nigeria: a systematic review and meta-analysis. Front Public Health. 2021;9. Available from: https://doi.org/10.3389/fpubh.2021.762429

4. Umuerri EM. Risk of type 2 diabetes among women in an urban community in Delta State, Nigeria: a cross-sectional assessment using a non-invasive screening tool. J Community Med Public Health Care [Internet]. 2020 [cited 2025 Sep 16];32:47-55. Available from: https://www.ajol.info/index.php/jcmphc/article/view/194175

5. Alebiosu OC, Familoni OB, Ogunsemi OO, et al. Community based diabetes risk assessment in Ogun State, Nigeria (World Diabetes Foundation project 08-321). Indian J Endocrinol Metab. 2013;17(4):653-8. Available from: https://doi.org/10.4103/2230-8210.113756

6. Ugwueze CV, Nnolim BI, Anikpo NC, et al. Risk assessment for type 2 diabetes mellitus among participants in a market survey at Ebonyi State, South East Nigeria, using Finnish Diabetes Risk Score questionnaire. Niger J Med. 2022;31(5).

7. Nnamudi AC, Orhue NEJ, Ijeh II. Assessment of the FINDRISC tool in predicting the risk of developing type 2 diabetes mellitus in a young adult Nigerian population. Bull Natl Res Centre. 2020;44:186. Available from: https://doi.org/10.1186/s42269-020-00440-7

8. Otu A, Akpan M, Effa E, et al. Prevalence of type 2 diabetes mellitus in Southern Cross River: a cross-sectional observational survey. Int J Diabetes Dev Ctries. 2018. Available from: https://doi.org/10.1007/s13410-018-0606-5

9. Naing L, Winn T, Rusli BN. Practical issues in calculating the sample size for prevalence studies. Arch Orofac Sci. 2006;1:9-14.

10. Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31. Available from: https://doi.org/10.2337/diacare.26.3.725

11. Sharma KM, Ranjani H, Nguyen H, et al. Indian Diabetes Risk Score helps to distinguish type 2 from non-type 2 diabetes mellitus (GDRC-3). J Diabetes Sci Technol. 2011;5(2):419-25. Available from: https://doi.org/10.1177/193229681100500218

12. Gamston CE, Kirby AN, Hansen RA, et al. Comparison of 3 risk factor-based screening tools for the identification of prediabetes. J Am Pharm Assoc. 2020;60(3):481-4. Available from: https://doi.org/10.1016/j.japh.2019.11.015

13. Bernabe-Ortiz A, Perel P, Miranda JJ, Smeeth L. Diagnostic accuracy of the Finnish diabetes risk score (FINDRISC) for undiagnosed T2DM in Peruvian population. Prim Care Diabetes. 2018;12(6):517-25. Available from: https://doi.org/10.1016/j.pcd.2018.07.015

14. Mainous AG 3rd, Diaz VA, Everett CJ. Assessing risk for development of diabetes in young adults. Ann Fam Med. 2007;5(5):425-9. Available from: https://doi.org/10.1370/afm.705

15. Singh MM, Mangla V, Pangtey R, Garg S. Risk assessment of diabetes using the Indian Diabetes Risk Score: a study on young medical students from Northern India. Indian J Endocrinol Metab. 2019;23(1):86-90. Available from: https://doi.org/10.4103/ijem.IJEM_623_18

16. Maniyara K, Kodali PB. Assessing type-2 diabetes risk based on the Indian Diabetes Risk Score among adults aged 45 and above in India. Sci Rep. 2025;15:4495. Available from: https://doi.org/10.1038/s41598-025-88460-z

17. Chen L, Magliano DJ, Balkau B, et al. AUSDRISK: an Australian type 2 diabetes risk assessment tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust. 2010;192(4):197-202. Available from: https://doi.org/10.5694/j.1326-5377.2010.tb03507.x

18. Sokary S, et al. The interaction between body mass index genetic risk score and dietary intake on weight status: a systematic review. Diabetes Metab Syndr Obes Targets Ther. 2024;17:925-941. doi:10.2147/DMSO.S452660.

19. Iyer HS, et al. African genetic ancestry, structural and social determinants of health, and mortality in Black adults. JAMA Netw Open. 2025;8(5):e2510016. doi:10.1001/jamanetworkopen.2025.10016.

20. Malindisa EK, Balandya E, Mashili F, Njelekela M. Is the FINDRISC tool useful in screening type 2 diabetes and metabolic syndrome in an African setting? Experience among young adults in urban Tanzania. Diabetology. 2021;2(4):240-9. Available from: https://doi.org/10.3390/diabetology2040022

Downloads

Published

2024-09-05

Issue

Section

Original Article

How to Cite

DIABETES RISK PROFILING IN YOUNG ADULT NIGERIANS LIVING IN CROSS RIVER STATE: A CROSS-SECTIONAL STUDY OF FOUR SCREENING INSTRUMENTS.: Formerly Published in Vol. 12 No. 2 Jan. - Jun., 2025. (2024). Pioneer Medical Journal, 4(2). https://www.pmjournal.org.ng/index.php/home/article/view/33

Similar Articles

1-10 of 13

You may also start an advanced similarity search for this article.