Gender differences in the association between Life's essential 8 and cardiovascular disease: a U.S.-based cross-sectional analysis.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Yi Tang, Xiaojie Chen, Yifan Zhao, Jihong Sun, Yaohui Jiang
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引用次数: 0

Abstract

Background: This research aims to elucidate the gender differences in the association between cardiovascular disease (CVD) prevalence and Life's Essential 8 (LE8), a recently updated measure of cardiovascular health (CVH).

Methods: This study included participants from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018.The scores of LE8, health behavior, health factor and each metric based on diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipid, blood glucose, and blood pressure were classified as low (0-49 points), moderate (50-79 points), and high (80-100 points). The scores of LE8, health behavior and health factor as continuous variables were also used for dose-response analysis. The main outcomes included the prevalence of CVD. The definition of CVD based on self-reported history of coronary heart disease or stroke.

Results: A total of 23,307 individuals were included in this analysis. Participants with CVD had significantly lower LE8 scores compared to those without CVD, and females demonstrated higher CVH levels compared to males including total LE8 scores and the scores of diet, nicotine exposure, blood lipid, blood glucose, and blood pressure (P < 0.05). Moreover, the LE8 score demonstrated a non-linear association with CVD in both males and females (all P-values for non-linearity were < 0.001). Furthermore, compared to the low LE8 level, a high LE8 level was associated with a 78% decreased risk of CVD in males (HR: 0.22, 95% CI: 0.16-0.31) and an 83% decreased risk in females (HR: 0.17, 95% CI: 0.11-0.26). Consistently, compared to low levels of health behaviors and health factors, higher levels were significantly associated with a decreased risk of CVD in both males and females (All P < 0.001). Additionally, the area under the curve (AUC) for the total LE8 score in CVD discrimination was significantly higher in females than in males (P < 0.001).

Conclusion: Higher CVH scores were associated with a lower risk of CVD, especially in females. These findings highlight the need for gender-specific preventive strategies in CVH promotion, with a particular focus on improving LE8 scores in high-risk populations.

生活必需品与心血管疾病之间的性别差异:一项基于美国的横断面分析。
背景:本研究旨在阐明心血管疾病(CVD)患病率与Life's Essential 8 (LE8)之间的性别差异,LE8是最近更新的心血管健康(CVH)指标。方法:本研究纳入了2005年至2018年国家健康与营养检查调查(NHANES)的参与者。LE8、健康行为、健康因素和基于饮食、身体活动、尼古丁暴露、睡眠健康、体重指数、血脂、血糖和血压的每个指标的得分分为低(0-49分)、中(50-79分)和高(80-100分)。以LE8评分、健康行为和健康因素作为连续变量进行剂量-反应分析。主要结局包括心血管疾病的患病率。心血管疾病的定义基于自我报告的冠心病或中风史。结果:共有23,307人被纳入本分析。与没有心血管疾病的参与者相比,患有心血管疾病的参与者的LE8评分明显较低,女性的CVH水平高于男性,包括总LE8评分和饮食、尼古丁暴露、血脂、血糖和血压评分(P结论:CVH评分越高,患心血管疾病的风险越低,尤其是女性。这些发现强调了在促进CVH方面需要有针对性别的预防策略,特别注重提高高危人群的LE8评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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