Literature DB >> 30272848

HDL subfraction changes with a low-fat, plant-based Complete Health Improvement Program (CHIP).

Lillian M Kent1, Ross S Grant2, Greg Watts3, Darren P Morton4, Paul M Rankin4, Ewan J Ward4.   

Abstract

BACKGROUND AND OBJECTIVES: Low HDL concentrations are considered an important risk factor for cardiovascular disease. Interventions promoting a low-fat, plant-based eating pattern appear to reduce CVD risk while paradoxically also reducing HDL concentrations. Recent studies show HDL to comprise a range of subfractions, but the role these play in ameliorating the risk of CVD is unclear. The purpose of this study was to characterise changes in HDL subfractions in participants where HDL decreased following the CHIP intervention which promotes a low-fat, plant-based diet, with physical activity. METHODS AND STUDY
DESIGN: Individuals (n=22; mean age=55.4±16.3 years; 45.5% men, 54.5% women) participating in a CHIP intervention were assessed at baseline and 30 days for changes in BMI, blood pressure, lipid profile, (including large-, intermediate- and small-HDL subfractions) and fasting glucose.
RESULTS: HDL significantly decreased (10.6%, p<0.001) together with BMI (2.5%, p=0.028), systolic blood pressure (7.1%, p=-0.005), total cholesterol (9.5%, p=0.002), LDL (11.2%, p=0.007) and fasting glucose (8.2%, p=0.028). Triglycerides (TG) did not significantly change. Physical activity (22.7%, p=0.016) and consumption of whole plant-foods (13.9%, p=0.003) significantly increased, while nonplant (energy and animal) foods decreased (43.1%, p=0.009). Large-, intermediate- and small-HDL decreased (-10.0%, p=0.003; -8.3%, p=0.013 and 22%, p=0.005, respectively).
CONCLUSIONS: This paper discusses specific changes in HDL subfractions when overall-HDL decreases as a response to low fat, whole-food, plant-based eating and exercise. Additional research is required to elucidate the reasons through which behavioural therapies remodel the HDL particle and how this impacts the functional properties of HDL and CVD risk.

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Year:  2018        PMID: 30272848     DOI: 10.6133/apjcn.052018.05

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  1 in total

1.  Transition Patterns of Weight Status and Their Predictive Lipid Markers Among Chinese Adults: A Longitudinal Cohort Study Using the Multistate Markov Model.

Authors:  Xiao Tang; Hongya Zhang; Yanxiang Zhao; Fang Lei; Qigui Liu; Dongmei Hu; Guorong Li; Guirong Song
Journal:  Diabetes Metab Syndr Obes       Date:  2021-06-14       Impact factor: 3.168

  1 in total

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