Why the study?
While higher adiposity causes adverse lipid profiles in high-income countries, it was unclear whether this association is similar in Sub-Saharan African populations.
Does higher adiposity (BMI and WHR) worsen lipid profiles in Malawian adults?
Cross-Sectional (n=24,943)
Yes
Does higher adiposity (BMI and WHR) worsen lipid profiles in Malawian adults?
Mean Difference: 0.23 (95% CI 0.19–0.26)
Higher adiposity is consistently associated with adverse lipid profiles in both rural and urban Malawian adults, highlighting an emerging cardio-metabolic epidemic in Sub-Saharan Africa.
Observational data from Malawi suggest adiposity-lipid associations may vary by sex and residence; leaves open generalizability to other SSA populations.
Background Evidence from high-income countries shows that higher adiposity results in an adverse lipid profile, but it is unclear whether this association is similar in Sub-Saharan African (SSA) populations. This study aimed to assess the association between total and central adiposity measures and lipid profile in Malawi, exploring differences by sex and area of residence (rural/urban). Methods Data from 12,847 rural and 12,096 urban Malawian residents were used. The associations of body mass index (BMI) and waist-hip ratio (WHR) with fasting lipids (total cholesterol (TC), low density lipoprotein-cholesterol (LDL-C), high density lipoprote in-cholesterol (HDL-C) and triglycerides (TG)) were assessed by area and sex. Results A great proportion of adults have high BMI and WHR, and this was associated with adverse lipid profiles; higher BMI and WHR were linearly associated with increased TC, LDL-C and TG and reduced HDL-C. BMI was more strongly related to fasting lipids than was WHR. The associations of adiposity with adverse lipid profile were stronger in urban compared with rural residents. Conclusions The consistent associations observed of higher adiposity with adverse lipid profiles in females and males living in rural and urban areas of Malawi highlight the emerging adverse cardio-metabolic epidemic in this poor population. Our findings underline the potential utility of BMI in estimating cardiovascular risk and highlight the need for greater investment to understand the long-term health outcomes of obesity and adverse lipid profiles and the extent to which lifestyle changes and treatments effectively prevent and modify adverse cardio-metabolic outcomes. Key messages Higher body mass index (BMI) and waist to hip ratio (WHR) are associated with increased total cholesterol (TC), low density lipoprotein-cholesterol (LDL-C) and triglycerides (TG) and reduced high density lipoprotein-cholesterol (HDL-C) in a large sub-Saharan African population. Total adiposity is more strongly associated with adverse lipid profile than central adiposity. Despite the higher BMI and the less favourable lipid profile in urban residents, stronger associations between BMI and TC, LDL-C and TG are observed in rural than urban residents.
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Soares et al. (2019) conducted a cross-sectional in Dyslipidemia (n=24,943). Higher adiposity (Body mass index and waist-hip ratio) vs. Lower adiposity was evaluated on Increase in total cholesterol per 1 standard deviation increase in BMI in rural women (MD 0.23 mmol/L, 95% CI 0.19, 0.26).
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