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Objectives <p>Selenium helps to prevent oxidative stress and inflammation, while the relationship between dietary selenium intake (DSeI) and hyperlipidemia has not been reported. Our goal is to explore the relationship between DSeI and hyperlipidemia.</p> Methods <p>The multivariate logistic regression analysis model was employed to estimate the odds ratio (OR) and 95% confidence interval (CI) of DSeI on hyperlipidemia. A non-linear relationship was explored using a restricted cubic spline (RCS) model. Group differences were statistically evaluated using the t-test for continuous variables and the chi-square test for categorical variables. Utilizing the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2018, participants were selected.</p> Results <p>A total of 7,715 participants (5,424 with hyperlipidemia and 2,291 without) were analyzed from the study. A significant inverse correlation was observed between DSeI and hyperlipidemia, with the highest DSeI quartile exhibiting a 19% reduced odds of hyperlipidemia compared to the lowest (OR = 0.81, 95% CI [0.69–0.95], <i>p</i> &lt; 0.001). Two-segment linear regression analysis revealed a non-linear relationship between DSeI and hyperlipidemia, indicating a potential threshold effect.</p> Conclusions <p>Our study demonstrated a statistically significant association between DSeI levels and hyperlipidemia. To further elucidate the role of DSeI in hyperlipidemia, larger-scale, and prospective studies are warranted.</p>

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Relationship between dietary selenium intake and hyperlipidemia: a population-based study from NHANES (2011–2018)

  • 期刊论文

  • 发表日期：

    2026年3月28日

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  • Yanhai Wang,
  • Zeng Li,
  • Shengyun Zhang,
  • Dengshuai Zhang,
  • Zhiqiang He,
  • Guanghua Tang,
  • Zhiyong Wang,
  • Xingxing Zhu,
  • Qiuming Zheng

摘要

Objectives

Selenium helps to prevent oxidative stress and inflammation, while the relationship between dietary selenium intake (DSeI) and hyperlipidemia has not been reported. Our goal is to explore the relationship between DSeI and hyperlipidemia.

Methods

The multivariate logistic regression analysis model was employed to estimate the odds ratio (OR) and 95% confidence interval (CI) of DSeI on hyperlipidemia. A non-linear relationship was explored using a restricted cubic spline (RCS) model. Group differences were statistically evaluated using the t-test for continuous variables and the chi-square test for categorical variables. Utilizing the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2018, participants were selected.

Results

A total of 7,715 participants (5,424 with hyperlipidemia and 2,291 without) were analyzed from the study. A significant inverse correlation was observed between DSeI and hyperlipidemia, with the highest DSeI quartile exhibiting a 19% reduced odds of hyperlipidemia compared to the lowest (OR = 0.81, 95% CI [0.69–0.95], p < 0.001). Two-segment linear regression analysis revealed a non-linear relationship between DSeI and hyperlipidemia, indicating a potential threshold effect.

Conclusions

Our study demonstrated a statistically significant association between DSeI levels and hyperlipidemia. To further elucidate the role of DSeI in hyperlipidemia, larger-scale, and prospective studies are warranted.