SEARCHCROSS-SECTIONALcardiology, nutrition

cross-sectional·cardiology, nutrition, epidemiology, antioxidants, public health·PMC10525155

Association between the Composite Dietary Antioxidant Index and Atherosclerotic Cardiovascular Disease in Postmenopausal Women: A Cross-Sectional Study of NHANES Data, 2013–2018

Antioxidants · 5 authors, 3 centres

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TL;DR

Higher CDAI levels were associated with a lower incidence of ASCVD in an L-shaped dose-response pattern, with stronger associations among women aged 40–69, those with low HDL-C levels, and smokers.

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The CDAI was calculated from daily intakes of vitamins A, C, E, selenium, and zinc. ASCVD was ascertained via self-reported diagnoses of coronary heart disease, angina, heart attack, or stroke. The authors observed a statistically lower incidence of ASCVD and hard criteria among postmenopausal women with high CDAI levels, with an L-shaped dose-response relationship. Stratified analyses revealed the negative correlation was stronger in women aged 40–69 than in those aged ≥70 years, in individuals with low HDL-C compared to high HDL-C, and in smokers compared to non-smokers. Results remained robust after adjusting for confounders. Limitations include the cross-sectional design precluding causal inference, inability to distinguish dietary intake from supplementation, and limited generalizability beyond the US population.

STUDY TYPE

cross-sectional

SPECIALTY

cardiology

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AI pipeline

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ORIGINAL PAPER

PMC10525155

Association between the Composite Dietary Antioxidant Index and Atherosclerotic Cardiovascular Disease in Postmenopausal Women: A Cross-Sectional Study of NHANES Data, 2013–2018

Antioxidants

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ABSTRACT

Abstract The relationship between composite dietary antioxidant index (CDAI) levels and the risk of atherosclerotic cardiovascular disease (ASCVD) in postmenopausal women is unknown. In total, 3109 women from the National Health and Nutrition Examination Survey 2013–2018 were included in this cross-sectional study. We evaluated the association between CDAI levels and the risk of ASCVD by using three logistic regression models and restricted cubic splines. A stratified analysis and sensitivity analysis were also conducted. The restricted cubic splines exhibited an L-shaped dose-response association between CDAI levels and the ASCVD risk. Logistic regression analysis found that CDAI levels were negatively associated with the occurrence of ASCVD. The ORs associated with a per-SD increase in CDAI were 0.67 (95% CI: 0.51–0.88) for ASCVD risk. Similarly, women in the group with high CDAI levels were less likely to have ASCVD (OR = 0.71, 95% CI: 0.50–0.98) compared to those in the group with low CDAI levels. When the CDAI levels were divided into quartiles, it was found that the ORs for ASCVD with CDAI levels in Q2 (−1.04–1.11), Q3 (1.11–3.72), and Q4 (3.72–43.87) were 0.63 (0.44, 0.90), 0.64 (0.42, 0.94), and 0.51 (0.27, 0.97), respectively, compared to those with CDAI levels in Q1 (−6.83–−1.04). In addition, age, high-density lipoprotein cholesterol levels, and smoking behaviors acted as potential modifiers, and ORs were more significant in women aged 40–69 years, in individuals with low high-density lipoprotein cholesterol levels, and in smokers ( p for interaction <0.05). These findings may offer valuable insights into the role of CDAI levels in the development of ASCVD among postmenopausal women. Keywords: composite dietary antioxidant index, atherosclerotic cardiovascular disease, postmenopausal women, NHANES

CITATION EXPORT

Chenning Liu, Wenyu Lai, Meiduo Zhao et al.. Association between the Composite Dietary Antioxidant Index and Atherosclerotic Cardiovascular Disease in Postmenopausal Women: A Cross-Sectional Study of NHANES Data, 2013–2018. Antioxidants. (2023). https://doi.org/10.3390/antiox12091740

AUTHORS

5 · 3 CENTRES

Chenning Liu, Wenyu Lai, Meiduo Zhao, Yexuan Zhang, Yuanjia Hu

1State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR 999078, China; [email protected] (C.L.); [email protected] (W.L.); [email protected] (Y.Z.)
2Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macao SAR 999078, China
3Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; [email protected]