PMID- 34393487
OWN - NLM
STAT- MEDLINE
DCOM- 20211224
LR  - 20231101
IS  - 1178-2048 (Electronic)
IS  - 1176-6344 (Print)
IS  - 1176-6344 (Linking)
VI  - 17
DP  - 2021
TI  - Predictors of Lipid Profile Abnormalities Among Patients with Metabolic Syndrome 
      in Southwest Ethiopia: A Cross-Sectional Study.
PG  - 461-469
LID - 10.2147/VHRM.S319161 [doi]
AB  - BACKGROUND: Lipid profile abnormalities are an integral part of metabolic 
      syndrome (MetS) and major underlying causes of cardiovascular disease (CVD) and 
      type-2 diabetes mellitus (T2DM). Lipid profile abnormalities in a patient with 
      MetS are resulted due to the presence of central obesity and insulin resistance. 
      In Ethiopia, the burden and predictors of lipid profile abnormalities in a 
      patient with MetS are not well known. Thus, this study aimed to determine the 
      prevalence of lipid profile abnormalities and predictors among patients with MetS 
      in southwest Ethiopia. METHODS AND MATERIALS: A cross-sectional study was 
      conducted among 381 patients with MetS from September to December 2019 with a 
      response rate of 100%. A structured questionnaire was used to collect data on 
      socio-demographic and behavioral factors. Waist circumference, height, weight, 
      and blood pressures were measured. The venous blood sample was collected for 
      glucose and lipid profile determination. Data were entered and analyzed by using 
      SPSS version 21. Binary logistic regression and Pearson's correlation analyses 
      were performed. A p-value was set at a <0.05 for statistical significance. 
      RESULTS: In this study, about 58% of participants were at least one or more lipid 
      profile abnormalities with the 95% CI (52.8-62.7). About 67.2%, 44.6%,18.4%, and 
      14.2% of study participants were low HDL, high TG, LDL, and TC, respectively. 
      Central obesity (adjusted odds ratio (AOR): 1.89, 95% CI: 1.14-3.14), increasing 
      age (AOR: 2.08, 95% CI: 1.27-3.4), higher BMI (AOR: 2.06, 95% CI: 1.23-3.4), 
      being hypertensive (AOR: 3.48, 95% CI: 2.12-5.7) and increasing blood glucose 
      level (AOR: 2.34, 95% CI: 1.36-4.03) were independent predictors of lipid profile 
      abnormalities (dyslipidemia). CONCLUSION: In this study area, a high (58%) 
      prevalence of dyslipidemia was observed in study participants, and increasing 
      age, higher BMI, central obesity, hypertension, and high blood glucose level were 
      identified as independent predictors of dyslipidemia among patients with MetS. 
      Prevention and control of dyslipidemia and its predictors among patients with 
      MetS were recommended.
CI  - (c) 2021 Haile et al.
FAU - Haile, Kassahun
AU  - Haile K
AUID- ORCID: 0000-0002-2520-9244
AD  - Department of Medical Laboratory Science, College of Medicine and Health 
      Sciences, Wolkite University, Wolkite, Ethiopia.
FAU - Haile, Admasu
AU  - Haile A
AD  - Department of Medical Laboratory Science, College of Medicine and Health 
      Sciences, Wolkite University, Wolkite, Ethiopia.
FAU - Timerga, Abebe
AU  - Timerga A
AD  - Department of Biomedical Science, College of Medicine and Health Sciences, 
      Wolkite University, Wolkite, Ethiopia.
LA  - eng
PT  - Journal Article
DEP - 20210808
PL  - New Zealand
TA  - Vasc Health Risk Manag
JT  - Vascular health and risk management
JID - 101273479
RN  - 0 (Blood Glucose)
RN  - 0 (Lipids)
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Blood Glucose
MH  - Cross-Sectional Studies
MH  - Dyslipidemias/diagnosis/*epidemiology
MH  - Ethiopia/epidemiology
MH  - Female
MH  - Humans
MH  - Hypertension/diagnosis/*epidemiology
MH  - Insulin Resistance
MH  - Lipids
MH  - Male
MH  - Metabolic Syndrome/diagnosis/*epidemiology
MH  - Middle Aged
MH  - Obesity
MH  - Obesity, Abdominal/epidemiology
MH  - Young Adult
PMC - PMC8360354
OTO - NOTNLM
OT  - Ethiopia
OT  - lipid profile abnormalities
OT  - metabolic syndrome
COIS- The authors declared that they have no conflicts of interest for this work.
EDAT- 2021/08/17 06:00
MHDA- 2021/12/25 06:00
PMCR- 2021/08/08
CRDT- 2021/08/16 05:43
PHST- 2021/05/07 00:00 [received]
PHST- 2021/07/29 00:00 [accepted]
PHST- 2021/08/16 05:43 [entrez]
PHST- 2021/08/17 06:00 [pubmed]
PHST- 2021/12/25 06:00 [medline]
PHST- 2021/08/08 00:00 [pmc-release]
AID - 319161 [pii]
AID - 10.2147/VHRM.S319161 [doi]
PST - epublish
SO  - Vasc Health Risk Manag. 2021 Aug 8;17:461-469. doi: 10.2147/VHRM.S319161. 
      eCollection 2021.