Affiliation:
1. Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
2. Medical Research Council Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
Abstract
Background: Adult overweight and obesity, in addition to the intake of saturated fat and total serum cholesterol must be monitored as biological risk factors for non-communicable diseases (NCDs). Bioelectric impedance analysis (BIA) provides data on body fat for use in epidemiological settings. However, optimized equations should be used to calculate percentage body fat (%BF). The purpose of this study was to assess the differences between %BF calculated using different published BIA equations and %BF measured by BIA in young South African adults. Design and methods: In this observational study, differences in calculated %BF were assessed, with different BIA equations retrieved from the literature used in 1128 healthy young adults aged 20–30 years. The %BF (measured by BIA) was compared between equations, between Black and White men and women, respectively. Results: The results showed statistically significant differences in the %BF calculated from published BIA equations when used in young South African adults (χ² = 946, χ² = 2528, χ² = 2088, respectively, p < 0.0001). In Black and White men and women, respectively, %BF levels were significantly higher when calculated by equations, than when measured by BIA (p < 0.0001). Conclusion: There seem to be large discrepancies in estimating %BF by BIA equations and these values cannot be used interchangeably for young South African adults. A South African age, ethnicity and sex-specific BIA equation needs to be developed to accurately estimate %BF in young South African adults.
Funder
Supporting Nutrition Research and Education in Africa (SUNReA) programme
Reference35 articles.
1. WHO. Noncommunicable diseases: progress monitor 2020, World Health Organization, https://www.who.int/publications/i/item/9789240000490 (2020, accessed 6 December 2021).
2. The economic burden of non-communicable disease mortality in the South Pacific: Evidence from Fiji
3. Persistent burden from non-communicable diseases in South Africa needs strong action
4. WHO. Noncommunicable diseases global monitoring framework: indicator definitions and specifications, World Health Organization, https://www.who.int/teams/ncds/surveillance/monitoring-capacity/gmf (2014, accessed 7 December 2021).
5. Body mass index and percent body fat: a meta analysis among different ethnic groups