ArticleHealth promotion perspectives2016
The association of physical activity and cholesterol concentrations across different combinations of central adiposity and body mass index.
Article in Health promotion perspectives, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Cardiometabolic Health in Relation to Lifestyle and Body Weight Changes 3⁻8 Years Earlier.Nutrients · 2018Trial
- The spatial relationship between long-term vacant housing and non-communicable diseases in U.S. shrinking and growing metropolitan areas.Cities (London, England) · 2024Article
- Familial Hypercholesterolemia and Its Current Diagnostics and Treatment Possibilities: A Literature Analysis.Medicina (Kaunas, Lithuania) · 2022Review
- Mediterranean Fast Food: A Leading Cause of Hypercholesterolemia among University Students in Northern Jordan.Iranian journal of public health · 2022Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundThe purpose of this study was to investigate if those who are physically active,compared to physically inactive, have better cholesterol profiles across different combinations of body mass index (BMI) and waist circumference (WC).
methodsData from the 1999-2006 National Health and Nutrition Examination Survey (NHANES) were used (N = 16 095). Cholesterol parameters included total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), TC/HDL-C ratio, triglycerides and at herogenic index(Log10 [triglycerides/HDL-C]). Physical activity (PA) was assessed via self-report, with BMI and WC objectively measured. Cholesterol concentrations of 6 combinations of BMI and WC were evaluated among active and inactive participants. Multivariable linear regression analysis was utilized.
resultsFindings were not consistent across sex. There was little evidence to suggest an association of PA on TC across varying BMI and WC combinations. For example, among those who had an obese BMI and high WC, inactive participants did not have different TC level when compared to active participants (β = -1.2; 95% CI: -3.9-1.5, P = 0.38). There was evidence to suggest a favorable association of PA on HDL-C, triglycerides and at herogenic index across varying BMI and WC combinations. For example, among those who had an obese BMI and high WC, inactive (vs. active) participants had a lower HDL-C (βadjusted = -1.6, P < 0.01). When considering either gender, there was sufficient evidence to suggest a favorable association of PA on at least one of the evaluated cholesterol parameters for each of the BMI/WC combinations with the exception of normal BMI and high WC.
conclusionExcept for those having normal weight central obesity, PA is favorably associated with cholesterol parameters across various combinations of BMI and WC.
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