Background: Epidemiologic data indicate that the incident characteristics of type 2 diabetes mellitus (T2DM) are proper metrics to accurately define the true trajectory of the metabolic disorder. However, this is poorly characterized among Nigerians with T2DM. Hence, the current study evaluated the incident characteristics (pattern/trend) of T2DM among adult inhabitants of Akwa Ibom State, South-south Nigeria. Methods: A retrospective survey of incident adult-onset T2DM in the University of Uyo Teaching Hospital (UUTH) was conducted using 5-year (2014-2018) hospital medical data. Records of eligible cases were identified, relevant data retrieved on a well-designed research pro forma at the point of diagnosis, and acquired data analyzed using descriptive/comparative statistics. Results: A total of 47,357 adults with varied medical conditions presented in UUTH during 2014-2018 of whom 2,198 (mean age: 55.09±11.86 years) were diagnosed with T2DM, giving an overall crude incident rate (CIR) of 4.64% (95% Confidence Interval [CI]: 3.61-6.91) and age-standardized incidence rate (ASIR) of 5.36% (95%CI: 3.96-7.45). An increasing trend of the annual incident cases, CIR, and ASIR of T2DM was observed during the period (p trend <0.001). The increase was obvious among both genders, young adults, middle-aged, urban dwellers, tertiary-level educated, paralleling the rising low physical activity, overweight, and obesity (p trend <0.05). However, a decreasing trend of the CIR and ASIR was observed among the rural-dwellers (p trend <0.05). Conclusion: The incidence of adult-onset T2DM has assumed an upward trend among inhabitants of Akwa Ibom State, South-south Nigeria. Public health measures are urgently recommended to stem this trend.
Published in | International Journal of Diabetes and Endocrinology (Volume 6, Issue 4) |
DOI | 10.11648/j.ijde.20210604.14 |
Page(s) | 142-149 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Diabetes, Diabetes Mellitus, Incident Type 2 Diabetes Mellitus, T2DM
[1] | Unnikrishnan R, Pradeepa R, Joshi SR, Mohan V. Type 2 diabetes: demystifying the global epidemic. Diabetes. 2017; 66 (6): 1432-42. |
[2] | International Diabetes Federation. IDF Diabetes Atlas. 9th ed. Brussels, Belgium: International Diabetes Federation; 201 9. |
[3] | Ogbera AO and Ekpebegh C. Diabetes mellitus in Nigeria: The past, present and future. World J Diabetes 2014; 5 (6): 905-11. |
[4] | Uloko AE, Musa BM, Ramalan MA, Gezawa ID, Puepet FH, Uloko AT, et al. Prevalence and risk factors for diabetes mellitus in Nigeria: A systematic review and meta-analysis. Diabetes Ther 2018; 9: 1307-16. |
[5] | Ekpenyong CE, Akpan UP, Ibu JO, Nyebuk DE. Gender and age-specific prevalence and associated risk factors of type 2 diabetes mellitus in Uyo Metropolis, Southeastern Nigeria. Diabetologia Croatica 2012; 41: 17-23. |
[6] | Idem I, Ukoh G, Ekott E. Prevalence and Risk Factors of Diabetes Mellitus in Eket, South-South Nigeria. J Biotech Biochem. 2017; 3 (3): 32-5. |
[7] | Magliano DJ, Islam RM, Barr EL, Gregg EW, Pavkov ME, Harding JL, et al. Trends in incidence of total or type 2 diabetes: systematic review. BMJ. 2019; 366: l5003. |
[8] | Luk AOY, Ke C, Lau ESH, Wu H, Goggins W, Ma RCW, et al. Secular trends in incidence of type 1 and type 2 diabetes in Hong Kong: A retrospective cohort study. PLoS Med 2020; 17 (2): e1003052. |
[9] | NCD Risk Factor Collaboration (NCD-RisC) – Africa Working Group. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol 2017; 46 (5): 1421-32. |
[10] | Steeves JA, Tudor-Locke C, Murphy RA, King GA, Fitzhugh EC, Harris TB. Classification of occupational activity categories using accelerometry: NHANES 2003-2004. Int J Behav Nutr Phys Act. 2015; 12: 89. doi: 10.1186/s12966-015-0235-z. |
[11] | Campbell MJ. Statistics at Square One. 9th ed. London: BMJ Publishing Group; 1997. |
[12] | LeRoth D, Biessels GJ, Braithwaite SS, Casnueva FF, Draznin B, Halter JB, et al. Treatment of diabetes in older adults: an endocrine society clinical practice guideline. Clin Endocrinol Metab. 2019; 104 (5): 1520-74. |
[13] | Wild S, Roglic G, Green A, Sievee R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004; 27 (5): 1047-53. |
[14] | Kirkman MS, Briscoe VJ, Clark N, Florez H, Haas LB, Halter JB, et al. Diabetes in older adults. Diabetes Care. 2012; 35 (12): 2650-64. |
[15] | Chukwu BN, Ezebuiro VO, Samuel ES, Nwachukwu KC. Gender differential in the incidence of diabetes mellitus among the patients in Udi Local Government Area of Enugu State, Nigeria. Mediterr J Soc Sci. 2013; 4: 131-8. |
[16] | Wang M, Gong WW, Pan J, Fei FR, Wang H, Yu M, et al. Incidence and time trends of type 2 diabetes mellitus among adults in Zhejiang Province, China, 2007-2017. J Diabetes Res, 2020; 2597953. |
[17] | Kauty-willer A, Harreiter J, Pacini G. Sex and gender differences in risk, pathophysiology and complications of type 2 diabetes mellitus. Endodocr Rev. 2016; 37 (3): 278-316. |
[18] | Balogun WO, Gureje O. Self-reported incident type 2 diabetes in the Ibadan study of aging: Relationship with urban residence and socio-economic status. Gerontology. 2013; 59 (1): 3-7. |
[19] | Ruiz-Alejos A, Carrilo-Larco RM, Miranda JJ, Anderson CAM, Gilman RH, Smeeth L, et al. Addressing the impact of urban exposure on the incidence of type 1 diabetes mellitus: The PERU MIGRANT Study. Sci Rep. 2018; 8 (1): 1-8. |
[20] | InterAct Consortium, Scott RA, Langenberg C, Sharp SJ, Franks PW, Rolandson O, et al. The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct Study. Diabetologia. 2013; 56 (1): 60-9. |
[21] | Cederberg H, Stancakora A, Kuusisto J, Laakso M, Smith U. Family history of type 2 diabetes increases the risk of both obesity and its complications: is type 2 diabetes a disease of inappropriate lipis storage? J Int Med. 2015; 277: 540-51. |
[22] | Seiglie JA, Marcus ME, Ebert C, Prodromidis N, Geldsetzer P, Theilmann M, Agoudavi K, et al. Diabetes prevalence and its relationship with education, wealth, and BMI in 29 low-and middle-income countries. Diabetes Care. 2020; 43 (4): 767-75. |
[23] | Steele CJ, Schöttker B, Marshall AH, Kouvonen A, O'Doherty MG, Mons U, et al. Education achievement and type 2 diabetes—what mediates the relationship in older adults? Data from the ESTHER study: a population-based cohort study. BMJ open. 2017; 7 (4). |
[24] | Arugu GM, Maduka O. Risk factors for diabetes mellitus among adult residents of a rural District in Southern Nigeria: Implications for prevention and control. Nig J Clin Pract. 2017; 20 (12): 1544-9. |
[25] | Opara HC, Anarado AN, Anetekhai CJ, Iheanacho PN, Okoronkwo IL, Obuekwu AL. Non-adherence to selected self-care actions and its determinants among adults with type 2 diabetes mellitus in a tertiary hospital in Enugu State Nigeria. J Diabetes Endocrinol. 2020; 11 (1): 1-9. |
[26] | Thapa S, Jha N, Baral DD, Pyakurel P. Health care-seeking behavior among people living with type-2 diabetes in rural area of Eastern Nepal. Int J Pub Health Safe. 2018; 3 (3): 166. |
[27] | Liu J, Ren ZH, Qiang H, Wu J, Shen M, Zhang L, et al. Trends in the incidence of diabetes mellitus: results from the Global Burden of Disease Study 2017 and implications for diabetes mellitus prevention. BMC public health. 2020; 20 (1): 1-2. |
[28] | Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Scientific reports. 2020; 10 (1): 1-1. (Rising BMI implicated in rising T2DM). |
[29] | Khan MA, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of type 2 diabetes–global burden of disease and forecasted trends. J epidemiol global health. 2020; 10 (1): 107. (T2DM rising in young adults; also ref 8). |
[30] | Magliano DJ, Sacre JW, Harding JL, Gregg EW, Zimmet PZ, Shaw JE. Young-onset type 2 diabetes mellitus - implications for morbidity and mortality. Nat Rev Endocrinol. 2020; 16 (6): 321-31. |
[31] | Essien E, Cyrus S. Detection of urban development in Uyo (Nigeria) using remote sensing. Land. 2019; 8 (6): 102. |
APA Style
Collins Amadi, Samuel Onung, Olufisayo Ayoade, Emmanuel Abudu, Fabian Unyime, et al. (2021). The Incident Pattern and Trend of Type 2 Diabetes Among Adults in Akwa Ibom State, South-south Nigeria. International Journal of Diabetes and Endocrinology, 6(4), 142-149. https://doi.org/10.11648/j.ijde.20210604.14
ACS Style
Collins Amadi; Samuel Onung; Olufisayo Ayoade; Emmanuel Abudu; Fabian Unyime, et al. The Incident Pattern and Trend of Type 2 Diabetes Among Adults in Akwa Ibom State, South-south Nigeria. Int. J. Diabetes Endocrinol. 2021, 6(4), 142-149. doi: 10.11648/j.ijde.20210604.14
AMA Style
Collins Amadi, Samuel Onung, Olufisayo Ayoade, Emmanuel Abudu, Fabian Unyime, et al. The Incident Pattern and Trend of Type 2 Diabetes Among Adults in Akwa Ibom State, South-south Nigeria. Int J Diabetes Endocrinol. 2021;6(4):142-149. doi: 10.11648/j.ijde.20210604.14
@article{10.11648/j.ijde.20210604.14, author = {Collins Amadi and Samuel Onung and Olufisayo Ayoade and Emmanuel Abudu and Fabian Unyime and Anthony Usoro}, title = {The Incident Pattern and Trend of Type 2 Diabetes Among Adults in Akwa Ibom State, South-south Nigeria}, journal = {International Journal of Diabetes and Endocrinology}, volume = {6}, number = {4}, pages = {142-149}, doi = {10.11648/j.ijde.20210604.14}, url = {https://doi.org/10.11648/j.ijde.20210604.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijde.20210604.14}, abstract = {Background: Epidemiologic data indicate that the incident characteristics of type 2 diabetes mellitus (T2DM) are proper metrics to accurately define the true trajectory of the metabolic disorder. However, this is poorly characterized among Nigerians with T2DM. Hence, the current study evaluated the incident characteristics (pattern/trend) of T2DM among adult inhabitants of Akwa Ibom State, South-south Nigeria. Methods: A retrospective survey of incident adult-onset T2DM in the University of Uyo Teaching Hospital (UUTH) was conducted using 5-year (2014-2018) hospital medical data. Records of eligible cases were identified, relevant data retrieved on a well-designed research pro forma at the point of diagnosis, and acquired data analyzed using descriptive/comparative statistics. Results: A total of 47,357 adults with varied medical conditions presented in UUTH during 2014-2018 of whom 2,198 (mean age: 55.09±11.86 years) were diagnosed with T2DM, giving an overall crude incident rate (CIR) of 4.64% (95% Confidence Interval [CI]: 3.61-6.91) and age-standardized incidence rate (ASIR) of 5.36% (95%CI: 3.96-7.45). An increasing trend of the annual incident cases, CIR, and ASIR of T2DM was observed during the period (p trend Conclusion: The incidence of adult-onset T2DM has assumed an upward trend among inhabitants of Akwa Ibom State, South-south Nigeria. Public health measures are urgently recommended to stem this trend.}, year = {2021} }
TY - JOUR T1 - The Incident Pattern and Trend of Type 2 Diabetes Among Adults in Akwa Ibom State, South-south Nigeria AU - Collins Amadi AU - Samuel Onung AU - Olufisayo Ayoade AU - Emmanuel Abudu AU - Fabian Unyime AU - Anthony Usoro Y1 - 2021/11/23 PY - 2021 N1 - https://doi.org/10.11648/j.ijde.20210604.14 DO - 10.11648/j.ijde.20210604.14 T2 - International Journal of Diabetes and Endocrinology JF - International Journal of Diabetes and Endocrinology JO - International Journal of Diabetes and Endocrinology SP - 142 EP - 149 PB - Science Publishing Group SN - 2640-1371 UR - https://doi.org/10.11648/j.ijde.20210604.14 AB - Background: Epidemiologic data indicate that the incident characteristics of type 2 diabetes mellitus (T2DM) are proper metrics to accurately define the true trajectory of the metabolic disorder. However, this is poorly characterized among Nigerians with T2DM. Hence, the current study evaluated the incident characteristics (pattern/trend) of T2DM among adult inhabitants of Akwa Ibom State, South-south Nigeria. Methods: A retrospective survey of incident adult-onset T2DM in the University of Uyo Teaching Hospital (UUTH) was conducted using 5-year (2014-2018) hospital medical data. Records of eligible cases were identified, relevant data retrieved on a well-designed research pro forma at the point of diagnosis, and acquired data analyzed using descriptive/comparative statistics. Results: A total of 47,357 adults with varied medical conditions presented in UUTH during 2014-2018 of whom 2,198 (mean age: 55.09±11.86 years) were diagnosed with T2DM, giving an overall crude incident rate (CIR) of 4.64% (95% Confidence Interval [CI]: 3.61-6.91) and age-standardized incidence rate (ASIR) of 5.36% (95%CI: 3.96-7.45). An increasing trend of the annual incident cases, CIR, and ASIR of T2DM was observed during the period (p trend Conclusion: The incidence of adult-onset T2DM has assumed an upward trend among inhabitants of Akwa Ibom State, South-south Nigeria. Public health measures are urgently recommended to stem this trend. VL - 6 IS - 4 ER -