Consumption of Plant Foods and Its Association with Cardiovascular Disease Risk Profile in South Africans at High-Risk of Type 2 Diabetes Mellitus.
Tatum LopesAnnalise E ZemlinJillian HillZandile J MchizaNasheeta PeerRajiv Timothy ErasmusAndre Pascal KengnePublished in: International journal of environmental research and public health (2022)
We assessed the distribution and association of cardiovascular disease (CVD) risk factors by plant foods consumption in individuals at high-risk for type 2 diabetes mellitus. This cross-sectional study utilized baseline data of 693 participants in the South African Diabetes Prevention Programme. Participants underwent a physical examination, biochemical analysis, and dietary assessment using a single non-quantified 24-h recall. Group comparisons were conducted to explore the distribution and associations of common CVD risk factors by plant foods consumption. The mean age of the participants was 51 years, with 81% being females. Consumers of yellow-coloured vitamin A-rich vegetables and tubers and maize had significantly lower systolic blood pressure, fasting insulin, low-density lipoprotein cholesterol, triglycerides, and fibrinogen levels. Cereals consumption increased the likelihood of obesity (OR = 1.72 95% CI [1.09, 2.70] p = 0.019) while the consumption of white roots and tubers decreased the likelihood of obesity (AOR = 0.64 95% CI [0.41, 1.00] p = 0.048). This study reported the consumption of some healthy plant foods with lower levels of, and decreased risk for, some CVD risk factors. A further in-depth investigation is needed to understand these associations.
Keyphrases
- risk factors
- cardiovascular disease
- type diabetes
- blood pressure
- insulin resistance
- glycemic control
- metabolic syndrome
- weight loss
- heart failure
- physical activity
- blood glucose
- randomized controlled trial
- weight gain
- heart rate
- clinical trial
- left ventricular
- atrial fibrillation
- cardiovascular risk factors
- risk assessment
- mental health
- body mass index
- optical coherence tomography
- cell wall
- adipose tissue
- big data
- health risk
- human health
- heavy metals