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. 2021 Aug 13;11(1):16503.
doi: 10.1038/s41598-021-96035-x.

The determinants of lipid profiles in early adolescence in a Ugandan birth cohort

Affiliations

The determinants of lipid profiles in early adolescence in a Ugandan birth cohort

Jan Pieter R Koopman et al. Sci Rep. .

Abstract

Dyslipidaemia in adolescence tracks into adulthood and is an important risk factor for cardiovascular disease. Little is known about the effects of environmental exposures and early-life exposure to infectious diseases common to tropical regions on lipids. In 1119 early adolescent participants in the Entebbe Mother and Baby Study, we used linear regression to examine whether prenatal, childhood or adolescent factors are associated with lipid levels. Reduced high-density lipoprotein (HDL) and elevated triglyceride levels were common (prevalence 31% and 14%, respectively), but elevated low-density lipoprotein (LDL) or total cholesterol (TC) were rare. Current malaria infection was associated with lower mean LDL (adjusted ß - 0.51; 95% CI - 0.81, - 0.21), HDL (adjusted ß - 0.40; 95% CI - 0.56, - 0.23), and TC levels (adjusted ß - 0.62; 95% CI - 0.97, - 0.27), but higher mean triglyceride levels (geometric mean ratio (GMR) 1.47; 95% CI 1.18-1.84). Early-life asymptomatic malaria was associated with modest reductions in HDL and TC. Body mass index (BMI) was positively associated with LDL, TC, and triglycerides. No associations with helminth infection were found. Our findings suggest that early-life factors have only marginal effects on the lipid profile. Current malaria infection and BMI are strongly associated with lipids and important to consider when trying to improve the lipid profile.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Distribution of lipid levels into categories according to AHA guidelines.
Figure 2
Figure 2
Proposed hierarchical conceptual framework for relationship between risk factors and lipid levels in adolescents. The boxes with grey shading indicate that these factors also depend on sex and age. The arrows represent the hypothesised relationships between the factors and can be bi-directional.

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