Background: Diabetes mellitus, more often known as diabetes, is a dangerous, long-term (or "chronic") disorder that manifests as elevated blood glucose levels when the body is unable to create, sufficient amounts of, or utilize the insulin that is produced. Due to the fact that a single patient may recover from more than one type 2 diabetes throughout time, recovery is usually recurring. Worldwide, type 2 diabetes was expected to affect 422 million adults in 2014, up from 108 million in 1980. By 2045, the International Diabetes Federation (IDF) projects that there will be a 143% rise in the population of diabetics in Africa. Ethiopia had 80,000 cases of diabetes in 2000, and the WHO projects that number will increase to 1.8 million cases by 2030. The aim of this research was to evaluate the type 2 diabetes recurrence (time to recovery) along with associated variables at Debre Berhan Specialized Hospital in Ethiopia. Methodology: An institutional-based retrospective study design was carried out on data obtained from Debre Berhan Specialized Hospital, in Jimma zones with type 2 diabetic patients who started treatment and were on follow-up in this Hospital. The study included 151 patients in total, and the Cox proportional hazard model was employed to look at diabetes patients' survival times. The log-rank test was performed to compare the categories of the variables, and Kaplan-Meier estimators were employed to predict the survival curves of diabetes patients. Result: Patients with type 2 diabetes had a median recovery time of 38 weeks, with the lowest and highest recovery times of 1 and 316 weeks, respectively. Patients with type 2 diabetes who took HCT and Regularly had a better probability of recovering from the condition sooner than those who took Doanied as prescribed by a doctor. Additionally, the likelihood of early recovery from type 2 diabetes mellitus improves by 1.7% as the patient's weight rises. Conclusion: Sex, age, family history, complications, smoking status, weight, and Spdrty (being HCT and Regular) were statistically significant variables at 0.05 p-values and are the key predictors for the recovery duration of type 2 DM patients. Therefore, future efforts to combat type 2 DM recovery should take all of these aspects into consideration. Prevention is crucial in the fight against type 2 diabetes. Adopting a healthy lifestyle, eating a well-balanced food, and getting enough exercise on a regular basis can help lower the chance of acquiring the illness. Furthermore, boosting awareness about the need of early identification and diabetes control education is critical in fostering a healthier society.
| Published in | International Journal of Clinical and Experimental Medical Sciences (Volume 9, Issue 5) |
| DOI | 10.11648/j.ijcems.20230905.13 |
| Page(s) | 85-97 |
| 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), 2023. Published by Science Publishing Group |
Type 2 Diabetes Mellitus, Recovery Time, Cox Proportional Hazard
| [1] | T. F. Gebabo, T. H. Zewdie, S. S. Shagaro, and F. Haile, “Determinants of peripheral neuropathy among diabetic patients under follow-up in chronic care clinics of public hospitals at Gamo and Gofa zones , southern Ethiopia,” pp. 1–9, 2021. |
| [2] | G. Hospitals, “Determining The Recurrence of Diabetic Patients Recovery Time in Benishangul-,” vol. 7, no. 1, pp. 35–47, 2022. |
| [3] | M. Abdul et al., “Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends,” vol. 10, pp. 107–111, 2020. |
| [4] | A. Belay, B. Derebew, and S. Abebaw, “Survival Analysis on Time-To-Recovery of Diabetic Patients at Minlik Referral Hospital, Ethiopia: Retrospective Cohort Study,” 2021, doi: 10.21203/rs.3.rs-1015864/v1. |
| [5] | O. W. K. Handayani, E. Nugroho, and B. Hermawati, “Determinant of Diabetes Mellitus Focusing on Differences of Indonesian Culture: Case Studies in the Java and Outer Java Region in Indonesia,” Open Public Health J., vol. 13, no. 1, pp. 323–340, 2020, doi: 10.2174/1874944502013010323. |
| [6] | H. A. Shouip, “Diabetes mellitus:,” no. January, 2015. |
| [7] | P. Metrics, “Progress in health among regions of Ethiopia, 1990 – 2019: a,” vol. 6736, no. 21, pp. 1990–2019, 2022. |
| [8] | H. Sun et al., “IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045,” Diabetes Res. Clin. Pract., vol. 183, no. January, pp. 6–10, 2022, doi: 10.1016/j.diabres.2021.109119. |
| [9] | N. Hamba, K. Kene, D. A. Bedane, and G. Etana, “Journal of Diabetes Research,” vol. 2020, pp. 1–18, 2020. |
| [10] | “Hosmer D. W., Lemeshow S. Applied Survival Analysis (1). pdf.” |
| [11] | A. Services, share announcement format _ quote question _ answer search menu thumb _ up textsms share announcement format _ quote question _ answer thumb _ up textsms zoom _ out _ map. |
| [12] | S. Lognormal and F. Models, “Academic Editor: Patrizia D ’ Amelio International Journal of Endocrinology International Journal of Endocrinology,” vol. 2022, pp. 1–13, 2022. |
| [13] | F. E. Tarekegne, M. Padyab, J. Schröders, and J. S. Williams, “Sociodemographic and behavioral characteristics associated with selfreported diagnosed diabetes mellitus in adults aged 50+ years in Ghana and South Africa: Results from the WHOSAGE wave 1,” BMJ Open Diabetes Res. Care, vol. 6, no. 1, pp. 1–18, 2018, doi: 10.1136/bmjdrc-2017-000449. |
| [14] | “Add to my library Page 36 Write review GET PRINT BOOK,” p. 36. |
| [15] | P. M. E. L. Kaplan, “Nonparametric Estimation from Incomplete Observations Author ( s ): E . L . Kaplan and Paul Meier Source: Journal of the American Statistical Association , Vol . 53 , No . 282 ( Jun ., 1958 ), pp . 457- Published by: American Statistical Association Sta,” Am. Stat. Assoc., vol. 53, no. 282, pp. 457–481, 1958. |
| [16] | C. C. Thon and C. W. Lian, “Academic Editor: Marcus Pezzolesi Journal of Diabetes Research,” vol. 2016, pp. 1–12, 2016. |
| [17] | R. Cannataro and E. Cione, “International Journal of Diabetes & Metabolic Disorders,” Researchgate. Net, vol. 1, no. 2, pp. 1–5, doi: 10.33140/IJDMD. |
| [18] | A. Legesse, “Retrospective Study of Recurrence and Associated Factors of Type 2 Diabetes Treated at Adama General Hospital , Oromia , Ethiopia: A Comparison of Cox-PH and Shared Lognormal Frailty Models,” vol. 2022, 2022. |
| [19] | J. P. Lea and S. B. Nicholas, “Diabetes mellitus and hypertension: key risk factors for kidney disease.,” J. Natl. Med. Assoc., vol. 94, no. 8 Suppl, p. 12152917, 2002. |
| [20] | M. A. Zeru, E. Tesfa, A. A. Mitiku, A. Seyoum, and T. A. Bokoro, “Prevalence and risk factors of type-2 diabetes mellitus in Ethiopia: systematic review and meta-analysis,” Sci. Rep., vol. 11, no. 1, pp. 1–22, 2021, doi: 10.1038/s41598-021-01256-9. |
| [21] | A. T. Kharroubi, “Diabetes mellitus: The epidemic of the century,” World J. Diabetes, vol. 6, no. 6, p. 850, 2015, doi: 10.4239/wjd.v6.i6.850. |
| [22] | Y. Gurmu, D. Gela, and F. Aga, “Factors associated with self-care practice among adult diabetes patients in West Shoa Zone, Oromia Regional State, Ethiopia,” BMC Health Serv. Res., vol. 18, no. 1, pp. 1–16, 2018, doi: 10.1186/s12913-018-3448-4. |
APA Style
Buzuneh Tasfa Marine, Dagne Tesfaye Mengistie, Kitesa Biresa Duftu. (2023). Time-to-Recovery from Type 2 Diabetic Patients and Associated Aspects at Debre Berhan Specialized Hospital. International Journal of Clinical and Experimental Medical Sciences, 9(5), 85-97. https://doi.org/10.11648/j.ijcems.20230905.13
ACS Style
Buzuneh Tasfa Marine; Dagne Tesfaye Mengistie; Kitesa Biresa Duftu. Time-to-Recovery from Type 2 Diabetic Patients and Associated Aspects at Debre Berhan Specialized Hospital. Int. J. Clin. Exp. Med. Sci. 2023, 9(5), 85-97. doi: 10.11648/j.ijcems.20230905.13
AMA Style
Buzuneh Tasfa Marine, Dagne Tesfaye Mengistie, Kitesa Biresa Duftu. Time-to-Recovery from Type 2 Diabetic Patients and Associated Aspects at Debre Berhan Specialized Hospital. Int J Clin Exp Med Sci. 2023;9(5):85-97. doi: 10.11648/j.ijcems.20230905.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijcems.20230905.13,
author = {Buzuneh Tasfa Marine and Dagne Tesfaye Mengistie and Kitesa Biresa Duftu},
title = {Time-to-Recovery from Type 2 Diabetic Patients and Associated Aspects at Debre Berhan Specialized Hospital},
journal = {International Journal of Clinical and Experimental Medical Sciences},
volume = {9},
number = {5},
pages = {85-97},
doi = {10.11648/j.ijcems.20230905.13},
url = {https://doi.org/10.11648/j.ijcems.20230905.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcems.20230905.13},
abstract = {Background: Diabetes mellitus, more often known as diabetes, is a dangerous, long-term (or "chronic") disorder that manifests as elevated blood glucose levels when the body is unable to create, sufficient amounts of, or utilize the insulin that is produced. Due to the fact that a single patient may recover from more than one type 2 diabetes throughout time, recovery is usually recurring. Worldwide, type 2 diabetes was expected to affect 422 million adults in 2014, up from 108 million in 1980. By 2045, the International Diabetes Federation (IDF) projects that there will be a 143% rise in the population of diabetics in Africa. Ethiopia had 80,000 cases of diabetes in 2000, and the WHO projects that number will increase to 1.8 million cases by 2030. The aim of this research was to evaluate the type 2 diabetes recurrence (time to recovery) along with associated variables at Debre Berhan Specialized Hospital in Ethiopia. Methodology: An institutional-based retrospective study design was carried out on data obtained from Debre Berhan Specialized Hospital, in Jimma zones with type 2 diabetic patients who started treatment and were on follow-up in this Hospital. The study included 151 patients in total, and the Cox proportional hazard model was employed to look at diabetes patients' survival times. The log-rank test was performed to compare the categories of the variables, and Kaplan-Meier estimators were employed to predict the survival curves of diabetes patients. Result: Patients with type 2 diabetes had a median recovery time of 38 weeks, with the lowest and highest recovery times of 1 and 316 weeks, respectively. Patients with type 2 diabetes who took HCT and Regularly had a better probability of recovering from the condition sooner than those who took Doanied as prescribed by a doctor. Additionally, the likelihood of early recovery from type 2 diabetes mellitus improves by 1.7% as the patient's weight rises. Conclusion: Sex, age, family history, complications, smoking status, weight, and Spdrty (being HCT and Regular) were statistically significant variables at 0.05 p-values and are the key predictors for the recovery duration of type 2 DM patients. Therefore, future efforts to combat type 2 DM recovery should take all of these aspects into consideration. Prevention is crucial in the fight against type 2 diabetes. Adopting a healthy lifestyle, eating a well-balanced food, and getting enough exercise on a regular basis can help lower the chance of acquiring the illness. Furthermore, boosting awareness about the need of early identification and diabetes control education is critical in fostering a healthier society.
},
year = {2023}
}
TY - JOUR T1 - Time-to-Recovery from Type 2 Diabetic Patients and Associated Aspects at Debre Berhan Specialized Hospital AU - Buzuneh Tasfa Marine AU - Dagne Tesfaye Mengistie AU - Kitesa Biresa Duftu Y1 - 2023/10/31 PY - 2023 N1 - https://doi.org/10.11648/j.ijcems.20230905.13 DO - 10.11648/j.ijcems.20230905.13 T2 - International Journal of Clinical and Experimental Medical Sciences JF - International Journal of Clinical and Experimental Medical Sciences JO - International Journal of Clinical and Experimental Medical Sciences SP - 85 EP - 97 PB - Science Publishing Group SN - 2469-8032 UR - https://doi.org/10.11648/j.ijcems.20230905.13 AB - Background: Diabetes mellitus, more often known as diabetes, is a dangerous, long-term (or "chronic") disorder that manifests as elevated blood glucose levels when the body is unable to create, sufficient amounts of, or utilize the insulin that is produced. Due to the fact that a single patient may recover from more than one type 2 diabetes throughout time, recovery is usually recurring. Worldwide, type 2 diabetes was expected to affect 422 million adults in 2014, up from 108 million in 1980. By 2045, the International Diabetes Federation (IDF) projects that there will be a 143% rise in the population of diabetics in Africa. Ethiopia had 80,000 cases of diabetes in 2000, and the WHO projects that number will increase to 1.8 million cases by 2030. The aim of this research was to evaluate the type 2 diabetes recurrence (time to recovery) along with associated variables at Debre Berhan Specialized Hospital in Ethiopia. Methodology: An institutional-based retrospective study design was carried out on data obtained from Debre Berhan Specialized Hospital, in Jimma zones with type 2 diabetic patients who started treatment and were on follow-up in this Hospital. The study included 151 patients in total, and the Cox proportional hazard model was employed to look at diabetes patients' survival times. The log-rank test was performed to compare the categories of the variables, and Kaplan-Meier estimators were employed to predict the survival curves of diabetes patients. Result: Patients with type 2 diabetes had a median recovery time of 38 weeks, with the lowest and highest recovery times of 1 and 316 weeks, respectively. Patients with type 2 diabetes who took HCT and Regularly had a better probability of recovering from the condition sooner than those who took Doanied as prescribed by a doctor. Additionally, the likelihood of early recovery from type 2 diabetes mellitus improves by 1.7% as the patient's weight rises. Conclusion: Sex, age, family history, complications, smoking status, weight, and Spdrty (being HCT and Regular) were statistically significant variables at 0.05 p-values and are the key predictors for the recovery duration of type 2 DM patients. Therefore, future efforts to combat type 2 DM recovery should take all of these aspects into consideration. Prevention is crucial in the fight against type 2 diabetes. Adopting a healthy lifestyle, eating a well-balanced food, and getting enough exercise on a regular basis can help lower the chance of acquiring the illness. Furthermore, boosting awareness about the need of early identification and diabetes control education is critical in fostering a healthier society. VL - 9 IS - 5 ER -
Information
Email: