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Published on: October 12, 2017
Predictors of plasma HDL-C concentrations in the Coronary Artery Risk Development in Young Adults (CARDIA) study
James M Shikany1, John R Bassler2, Jared P Reis3
1Division of General Internal Medicine and Population Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Insights
This study identifies key predictors of high-density lipoprotein cholesterol (HDL-C) over 30 years. Factors like race, alcohol, physical activity, and diet influence HDL-C levels in adults.
Area of Science:
- Cardiovascular disease research
- Lipid metabolism and risk factors
- Longitudinal cohort studies
Background:
- High-density lipoprotein cholesterol (HDL-C) is a critical biomarker for coronary heart disease (CHD) risk.
- Understanding long-term predictors of HDL-C is essential for cardiovascular health management.
- The Coronary Artery Risk Development in Young Adults (CARDIA) study provides a unique dataset for investigating HDL-C trends.
Purpose of the Study:
- To identify sociodemographic, lifestyle, anthropometric, and physiological predictors of HDL-C.
- To examine longitudinal changes in HDL-C over three decades in a diverse cohort.
- To differentiate between factors influencing HDL-C in men and women.
Main Methods:
- Utilized data from the CARDIA study (1985-2016), including baseline and 10 follow-up exams.
- Employed multiple linear regression for cross-sectional HDL-C analysis at each exam.
- Applied linear mixed-effects regression to model longitudinal HDL-C changes, analyzing factors by sex.
Main Results:
- Longitudinal analysis revealed positive associations with HDL-C: age, Black race, alcohol intake, physical activity, energy intake, and sex-specific factors (e.g., hormone use, menopausal status, insulin resistance).
- Inverse associations with HDL-C included: smoking, carbohydrate/fat intake, BMI, LDL-C, and triglyceride levels, with sex-specific links to insulin resistance and parity.
- Confirmed known HDL-C associations and identified novel contributing factors over 30 years.
Conclusions:
- Sociodemographic, lifestyle, and physiological factors significantly predict HDL-C levels over a 30-year period.
- Specific factors demonstrate distinct associations with HDL-C in men versus women.
- Findings contribute to a comprehensive understanding of HDL-C regulation and its role in cardiovascular risk.
Abstract:
HDL-C is an established risk marker for coronary heart disease. We investigated sociodemographic, lifestyle, anthropometric/physiologic, and other predictors of HDL-C over 30 years of follow-up in the Coronary Artery Risk Development in Young Adults (CARDIA) study, a multicenter, longitudinal cohort with a baseline exam in 1985-86 and follow-up exams at least every five years through 2016. During exams, participants completed various questionnaires, anthropometric measurements, and blood collection. We performed multiple linear regression of HDL-C at each CARDIA exam in a cross-sectional analysis, and linear mixed-effects regression to assess the longitudinal change of HDL-C across exams, treating time as a linear predictor, separately in women and men. The sample size ranged from 5114 participants at baseline to 3358 at the Year 30 Exam. Just over half of the participants were women and just under half were Black. Several factors were positively associated with HDL-C longitudinally in both women and men: age, self-identified Black race, alcohol intake, physical activity, and energy intake, along with sex-specific associations with current oral contraceptive use, current hormone therapy, and post-menopausal status (women only), and homeostasis model assessment-estimated insulin resistance (HOMA-IR) (men only). Other factors were inversely associated with HDL-C concentration longitudinally in both women and men: cigarette smoking, intakes of carbohydrates and total fat, body mass index, and low-density lipoprotein cholesterol and triglyceride concentrations, along with sex-specific associations with HOMA-IR and parity >0 (women only). We corroborated associations of several factors with HDL-C concentration and provided evidence of associations with several factors not extensively investigated in previous studies.
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