Bio-Electric Impedance Analysis and Anthropometric Obesity Indices as Predictors of Dyslipidaemia Among Adults at A Tertiary Institution in Lusaka, Zambia.
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
Posted 25 Sep, 2020
Received 18 Jan, 2021
On 12 Jan, 2021
On 02 Nov, 2020
On 25 Sep, 2020
Invitations sent on 25 Sep, 2020
On 23 Sep, 2020
On 23 Sep, 2020
On 19 Sep, 2020
Bio-Electric Impedance Analysis and Anthropometric Obesity Indices as Predictors of Dyslipidaemia Among Adults at A Tertiary Institution in Lusaka, Zambia.
Posted 25 Sep, 2020
Received 18 Jan, 2021
On 12 Jan, 2021
On 02 Nov, 2020
On 25 Sep, 2020
Invitations sent on 25 Sep, 2020
On 23 Sep, 2020
On 23 Sep, 2020
On 19 Sep, 2020
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