ArticleAfrican health sciences2023
Prevalence and predictors of type 2 diabetes complications: a single centre observation.
Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diabetes complications are a major burden on persons living with diabetes and the health care systems. Objectives: The study assessed the glycemic control, prevalence and predictors of type 2 diabetes complications among patients in a healthcare centre. Methods: Two hundred adults who had type 2 diabetes in a general hospital were recruited for the study. Cross-sectional and retrospective surveys were used to determine prevalence, number and types of complications in the patients. SPSS version 21 was used for descriptive analysis and Chi-square (p<0.05). Results: A total of 200 (100%) respondents participated in the study and 97 (48.5%) had poor glycemic control. Mean number of complications per patient was 2.48 ± 1.22. Number of complications per person and type of complications were significantly associated with Age (p = 0.000 and p = 0.000, respectively), Gender (p = 0.008 and p = 0.031, respectively) and Occupation (p=0.000 and p=0.006, respectively). Marital status (p = 0.032) and years of diagnosis (p=0.021) were also associated with type of complications. The majority of patients 64 (32.0%) were admitted in the previous year for diabetes-related complications. Majority 159 (79.5%) had ≥ 2 number of complications from the observed 497 complications. Conclusions: Poor glycemic control and high prevalence of complications were observed. Also, socio-demographic characteristics were likely predictors of number and type of complications. These findings are essential for improved planning and prioritizing of diabetes care.
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