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<p>The present study aims to investigate the relationship between blood selenium and NAFLD. Data were obtained from the National Health and Nutrition Examination Survey (2017–2020), a total of 3940 eligible participants were included in this study. Multivariable logistic regression, subgroup analyses, and smooth curve fitting assessed the blood selenium-NAFLD relationship. A piecewise linear regression model identified potential thresholds. Model robustness was evaluated using multiple imputation. Among 3,940 participants, NAFLD prevalence was 45% (<i>n</i> = 1,173). Compared to the lowest blood selenium quartile (Q1: 103.10–169.49&#xa0;µg/L), the adjusted odds ratios for NAFLD were 1.44 (95% CI: 1.16–1.78; <i>P</i> &lt; 0.01) in Q3 (184.56–201.29&#xa0;µg/L) and 1.26 (95% CI: 1.02–1.57; <i>P</i> = 0.035) in Q4 (201.30–562.23&#xa0;µg/L) after full covariate adjustment (Q2 was non-significant). Each 1-standard deviation increase in log-transformed blood selenium corresponded to an adjusted odds ratios of 1.16 (95% CI: 1.08–1.26) for NAFLD. Gender significantly modified this association (<i>P</i> for interaction &lt; 0.05). Adjusted smooth curve fitting demonstrated a significant non-linear positive dose-response relationship (<i>P</i> for non-linearity = 0.026). Elevated blood selenium concentration is significantly associated with an increased risk of NAFLD in US adults, exhibiting a non-linear dose-response pattern. This finding requires confirmation in future prospective cohort studies. Such association, if confirmed, will be of considerable public health relevance given the epidemic of NAFLD.</p>

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The association between non-alcoholic fatty liver disease with blood selenium level based on the NHANES 2017–2020

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月6日

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  • Jinlong Chen,
  • Hanxiang Jiang,
  • Xinxin Fang

摘要

The present study aims to investigate the relationship between blood selenium and NAFLD. Data were obtained from the National Health and Nutrition Examination Survey (2017–2020), a total of 3940 eligible participants were included in this study. Multivariable logistic regression, subgroup analyses, and smooth curve fitting assessed the blood selenium-NAFLD relationship. A piecewise linear regression model identified potential thresholds. Model robustness was evaluated using multiple imputation. Among 3,940 participants, NAFLD prevalence was 45% (n = 1,173). Compared to the lowest blood selenium quartile (Q1: 103.10–169.49 µg/L), the adjusted odds ratios for NAFLD were 1.44 (95% CI: 1.16–1.78; P < 0.01) in Q3 (184.56–201.29 µg/L) and 1.26 (95% CI: 1.02–1.57; P = 0.035) in Q4 (201.30–562.23 µg/L) after full covariate adjustment (Q2 was non-significant). Each 1-standard deviation increase in log-transformed blood selenium corresponded to an adjusted odds ratios of 1.16 (95% CI: 1.08–1.26) for NAFLD. Gender significantly modified this association (P for interaction < 0.05). Adjusted smooth curve fitting demonstrated a significant non-linear positive dose-response relationship (P for non-linearity = 0.026). Elevated blood selenium concentration is significantly associated with an increased risk of NAFLD in US adults, exhibiting a non-linear dose-response pattern. This finding requires confirmation in future prospective cohort studies. Such association, if confirmed, will be of considerable public health relevance given the epidemic of NAFLD.