Lipid profile levels and associated factors among Parkinson’s disease patients at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.
Year: 2026
Type: article
Study design: Observational Study
Abstract: Parkinson’s disease (PD) is the fastest-growing neurological disorder with a significant public health impact and has been associated with dysregulation of lipid metabolism. However, monitoring of lipid profiles in these patients is uncommon in the study area due to the limited published evidence. Therefore, this study aimed to assess lipid profiles and associated factors among patients with Parkinson’s disease. A hospital-based comparative cross-sectional study was conducted from March to June 2024 among 111 conveniently selected participants, including 50 Parkinson’s disease patients and 61 apparently healthy individuals. Pretested structured questionnaires were used to collect sociodemographic data and information related to the disease. Blood samples were obtained and analyzed for lipid profiles using the Cobas c 311 automated analyzer, following ethical approval and informed consent. Data entry and analysis were performed using SPSS Version 27. Independent t-tests, Pearson correlation, and linear regression were applied to examine associations and correlations among variables. A P value of less than 0.05 was considered statistically significant. The mean levels of LDL (76.7 ± 21.77 vs. 85.2 ± 12.59 mg/dl, P = 0.012), TG (115.02 ± 24.84 vs. 124.12 ± 16.01 mg/dl, P = 0.028), and TC (152.2 ± 30.44 vs. 165.36 ± 29.33 mg/dl, P = 0.023) were lower in Parkinson’s disease patients compared to controls. In patients with Parkinson’s disease, LDL, triglyceride (TG), and total cholesterol (TC) levels showed significant negative correlations with disease duration ( r = -0.610, -0.594, and − 0.622, respectively; P < 0.001). TG levels were also negatively correlated with age ( r = -0.320, P = 0.023). The results revealed disturbances in lipid profiles among Parkinson’s disease patients, which were associated with different factors. Not applicable.
Source: BMC Neurology
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W7225395809
