ArticleHealth science reports2022
Longitudinal modeling of fasting blood sugar with diabetes: A case study of Adama Hospital Medical College, Ethiopia.
Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Diagnostic utility of fasting versus non-fasting blood glucose: contextualising testing strategies-a narrative review.Diabetology & metabolic syndrome · 2026Review
- Robustness of Joint Over Separate Models for Investigating Predictors of Blood Sugar Level and Time to First Remission Among Type I Diabetic Patients Under Treatment; a Retrospective Study Design.Health science reports · 2026Article
- Joint Modeling of Fasting Blood Sugar Changes and Cardiovascular Disease Progression in Type-2 Diabetes Mellitus Patients: A Retrospective Cohort Study.Health science reports · 2026Article
- Estimating the Trend of Blood Sugar Changes in Diabetic Patients Using the Latent Growth Curve Model a Longitudinal Cohort Study.Advanced biomedical research · 2025Article
- A Longitudinal Examination of Blood Sugar Dynamics in Diabetes and Non-Diabetes Using Growth Curve Model: The Sabzevar Persian Cohort Study.Advanced biomedical research · 2024Article
- Longitudinal modeling of fasting blood sugar with diabetes: A case study of Adama Hospital Medical College, Ethiopia.Health science reports · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study was to evaluate the change in fasting blood sugar (FBS) over time and its determinants in diabetic patients. Methods: A longitudinal data analysis retrospective-based study was considered with a sample of 312 patients, and the linear mixed effect model was applied. Results: Based on the linear mixed model, the 3-month change in time decreases the average FBS level by 0.0111. An increase of one unit of body mass index (BMI) increases the FBS level by 0.0434. Similarly, an increase in blood pressure (DBP) per unit increased the average log FBS level by 0.0005. Secondary and higher education levels lower log FBS levels by 99.41% and 99.45%, respectively, compared with noneducated individuals. Conclusion: The study showed that hypertension history, type of diet, age, status of education, type of drug, body mass index, diastolic blood pressure, and time were statistically significant factors. Implications: According to the study, eating a healthy diet, maintaining a healthy body weight, and a low blood sugar level are essential to controlling blood sugar and preventing long-term complications. The government should build an educational institution proportional to the population and open programs to increase awareness about the prevention mechanism of diabetes in communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.