Assessment of Incidence of Dyslipidaemia Among Undergraduate Students in Usmanu Danfodiyo University, Sokoto

Background: Dyslipidaemia is a major risk factor for cardiovascular diseases, which can be identified and managed appropriately. Aim: The aim of the study is to assess the pattern of dyslipidaemia among UDUS students. Materials and methods: It is a snapshot study among students of UDUS. A total of 100 apparently healthy students were involved in the study. Questionnaires were administered; data obtained were age, gender, height, weight, income, financial dependency, physical activity, stimulant usage and alcohol consumption. Fasting serum samples were collected to determine serum lipids levels. The samples were analysed using enzymatic colorimetric method of lipids estimation. Of the 100 participants, there are 64 males and 36 females, with age range of 18-40 years. Results: The result obtained from the study shows mean±SD of TC (5.12 ± 0.93) mmol/L, HDL-C (1.13 ± 0.34) mmol/L, LDL-C (3.34 ± 0.94) mmol/L, TG (1.42 ± 0.33) mmol/L and AIX (5.15 ± 2.56). Mean value of HDL-C is significantly lower than the value of the target reference population and the mean value of TG is significantly lower while mean values of TC, LDL-C and TG are not significantly different from the value of the target population reference. The pattern of dyslipidaemia in prevalence was TC (55%), HDL-C (25%), LDL-C (41%), TG (17%), and that of AIX (33%). Elevated TC was the most common form dyslipidaemia in this study while TGs were the least.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-15
DOI
https://doi.org/10.5281/zenodo.14836314
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Incidence of Dyslipidaemia Among Undergraduate Students in Usmanu Danfodiyo University, Sokoto

Zenodo (CERN European Organization for Nuclear Research)
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Assessment of Incidence of Dyslipidaemia Among Undergraduate Students in Usmanu Danfodiyo University, Sokoto

article en

Abstract

Background: Dyslipidaemia is a major risk factor for cardiovascular diseases, which can be identified and managed appropriately. Aim: The aim of the study is to assess the pattern of dyslipidaemia among UDUS students. Materials and methods: It is a snapshot study among students of UDUS. A total of 100 apparently healthy students were involved in the study. Questionnaires were administered; data obtained were age, gender, height, weight, income, financial dependency, physical activity, stimulant usage and alcohol consumption. Fasting serum samples were collected to determine serum lipids levels. The samples were analysed using enzymatic colorimetric method of lipids estimation. Of the 100 participants, there are 64 males and 36 females, with age range of 18-40 years. Results: The result obtained from the study shows mean±SD of TC (5.12 ± 0.93) mmol/L, HDL-C (1.13 ± 0.34) mmol/L, LDL-C (3.34 ± 0.94) mmol/L, TG (1.42 ± 0.33) mmol/L and AIX (5.15 ± 2.56). Mean value of HDL-C is significantly lower than the value of the target reference population and the mean value of TG is significantly lower while mean values of TC, LDL-C and TG are not significantly different from the value of the target population reference. The pattern of dyslipidaemia in prevalence was TC (55%), HDL-C (25%), LDL-C (41%), TG (17%), and that of AIX (33%). Elevated TC was the most common form dyslipidaemia in this study while TGs were the least.

Zenodo (CERN European Organization for Nuclear Research)
Usmanu Danfodiyo University Teaching Hospital, Sokoto (NG), Usmanu Danfodiyo University (NG)
No poverty
Openalex Percentile: Top 42%
Diabetes, Cardiovascular Risks, and Lipoproteins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.