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Bio-Electric Impedance Analysis and Anthropometric Obesity Indices as Predictors of Dyslipidaemia Among Adults at A Tertiary Institution in Lusaka, Zambia.
Katongo Hope Mutengo
Ministry of Health
Corresponding Author
ORCiD: https://orcid.org/0000-0002-5039-9430
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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
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CURRENT STATUS: Under Review
Version 1
Posted 25 Sep, 2020
No community comments so far
Review #1 received
Received 18 Jan, 2021
Reviewer #2 agreed
On 12 Jan, 2021
Reviewer #1 agreed
On 02 Nov, 2020
Editor assigned
On 25 Sep, 2020
Reviewers invited
Invitations sent on 25 Sep, 2020
Submission checks complete
On 23 Sep, 2020
Editor invited
On 23 Sep, 2020
First submitted
On 19 Sep, 2020
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This preprint is under consideration at BMC Research Notes. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research note
Bio-Electric Impedance Analysis and Anthropometric Obesity Indices as Predictors of Dyslipidaemia Among Adults at A Tertiary Institution in Lusaka, Zambia.
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
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 25 Sep, 2020
No community comments so far
Review #1 received
Received 18 Jan, 2021
Reviewer #2 agreed
On 12 Jan, 2021
Reviewer #1 agreed
On 02 Nov, 2020
Editor assigned
On 25 Sep, 2020
Reviewers invited
Invitations sent on 25 Sep, 2020
Submission checks complete
On 23 Sep, 2020
Editor invited
On 23 Sep, 2020
First submitted
On 19 Sep, 2020
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