ArticleHealth science reports2023
Prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus patients in rural and urban areas: A multicenter cross-sectional study.
Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- High dyslipidemia in people living with HIV in ghana: a cross-sectional analysis of prevalence and associated factors.AIDS research and therapy · 2025Article
- Article
- Predicting HbA1c Target Achievement in Type 2 Diabetes: A Retrospective Single-Centre Nomogram Derived From National MMC-Standardised Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- The comorbidity burden of type 2 diabetes mellitus (T2DM): sex differences and associated factors among 830 cases in North-Eastern Morocco.Diabetology international · 2024Article
- Prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus patients in rural and urban areas: A multicenter cross-sectional study.Health science reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Dyslipidemia in diabetes mellitus has been linked to unhealthy lifestyle and bad eating habits. However, this association has not been well studied among rural and urban Ghanaian populations. In this study, we determined the prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus (T2DM) patients in rural and urban areas. Methods: This comparative multicentre-cross-sectional study recruited 228 T2DM outpatients attending the St. Michael Hospital, Pramso (rural) and Kumasi South Regional Hospital (urban), Ghana for routine check-ups. Self-structured questionnaire was used to collect sociodemographic, knowledge, and lifestyle characteristics. Fasting blood samples were taken to measure lipid profiles. Dyslipidemia was defined per the American Diabetes Association criteria. All Results: The overall prevalence of dyslipidemia was 79/228 (34.7%). Dyslipidemia was more prevalent among urban participants 43 (18.9%) than rural participants 36 (15.8%). Twenty-seven (11.7%) had adequate knowledge about the risk factors, complications, and management of diabetes. Eating supper after 7 p.m. [adjusted odds ratio = 3.77, 95% confidence interval (1.70-8.37), Conclusion: Dyslipidemia is increasing among T2DM patients in both urban and rural areas and it's independently influenced by eating supper after 7 p.m. Most participants were ignorant of the risk factors, complications, and management of diabetes. Adjusting eating habits and increasing diabetes awareness programs to sensitize the general public can mitigate the increasing prevalence of dyslipidemia in both urban and rural areas.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.