Research note
Katongo Hope Mutengo
Ministry of Health
Corresponding Author
ORCiD: https://orcid.org/0000-0002-5039-9430
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective Dyslipidaemia and obesity have a synergistic effect on the development of cardiovascular diseases (CVDs). Anthropometric measurements have often been used as surrogate markers for obesity indices with diverse results. We evaluated the best obesity index for predicting dyslipidaemia among anthropometric measurements and body fat measurements with bio-electric impedance analysis (BIA).
Results Among 116 adults, 62 (53.4%) were female. The median age was 39 years (quartile (Q)1, Q3: 20.8, 65.4). Waist circumference (odds ratio (OR) 4.54; 95% CI 1.56, 13.19; p=0.005) and total body fat percentage (OR 0.34; 95% CI 0.13, 0.91; p=0.031) measurements of obesity indices were significantly associated with dyslipidaemia.
Keywords
Obesity, Anthropometry, Bio-electric impedance analysis, Dyslipidaemia
Figure 1
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 25 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
Learn more about our company.
This is a preprint. It has not completed peer review.
Research note
Katongo Hope Mutengo
Ministry of Health
Corresponding Author
ORCiD: https://orcid.org/0000-0002-5039-9430
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 25 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective Dyslipidaemia and obesity have a synergistic effect on the development of cardiovascular diseases (CVDs). Anthropometric measurements have often been used as surrogate markers for obesity indices with diverse results. We evaluated the best obesity index for predicting dyslipidaemia among anthropometric measurements and body fat measurements with bio-electric impedance analysis (BIA).
Results Among 116 adults, 62 (53.4%) were female. The median age was 39 years (quartile (Q)1, Q3: 20.8, 65.4). Waist circumference (odds ratio (OR) 4.54; 95% CI 1.56, 13.19; p=0.005) and total body fat percentage (OR 0.34; 95% CI 0.13, 0.91; p=0.031) measurements of obesity indices were significantly associated with dyslipidaemia.
Figure 1
Loading...