Yi Tang, Xiaojie Chen, Yifan Zhao, Jihong Sun, Yaohui Jiang
{"title":"Gender differences in the association between Life's essential 8 and cardiovascular disease: a U.S.-based cross-sectional analysis.","authors":"Yi Tang, Xiaojie Chen, Yifan Zhao, Jihong Sun, Yaohui Jiang","doi":"10.1186/s12986-025-00929-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"38"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12060376/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00929-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
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.
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.