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Background <p>Arthritis, a common condition in the U.S., is caused by autoimmune reactions, osteoarticular injuries, and uric acid deposition. It affects around 25% of adults and is strongly linked to cardiovascular disease. The American Heart Association’s Life’s Essential 8 (LE8) composite, which considers cardiovascular health factors, has been studied for its predictive capacity in assessing arthritis risk. The study aims to provide tailored prevention recommendations and monitor factors associated with arthritis within the LE8 framework specifically for arthritic individuals.</p> Methods <p>This population-based study used data from the U.S. NHANES (2017–2020) for adults aged 20 + . Multivariate logistic and restricted cubic spline modeling explored the relationship between LE8 and arthritis, revealing significant nonlinearity (<i>P</i> &lt; 0.001).&#xa0;Gradient Boosting Decision Trees were&#xa0;employed&#xa0;to conduct a&#xa0;predictive model of Arthritis risk.</p> Results <p>Through study, we found that idealer LE8 scores correlated with poorer arthritis risk. Subgroup analyses ideallighted poorer scores for smoking (<i>P</i> &lt; 0.002, poor_socre and intermediate_score) and physical activity(<i>P</i> = 0.001, poor_score) as significant risk factors. Gradient Boosting Decision Trees predicted disease risk, with age, HDL cholesterol, and blood pressure identified as the three most significant predictive factors.</p> Conclusion <p>The LE8 score in U.S. adults shows a negative association with arthritis outcomes, with arthritis prevalence decreasing as the score increases. poorer Smoke and Physical Exercise Time components and intermediate Blood Glucose scores may be arthritis risk factors. The LE8 may help identify arthritis risk early and reduce its burden.</p>

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Associations between life’s essential 8 and arthritis among adults in United States: a national-wide longitudinal study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月26日

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  • Feiying He,
  • Xiangchun Xu,
  • Hongwen Yu,
  • Ziyang Miao,
  • Zhaolin Fu,
  • Lei Shi

摘要

Background

Arthritis, a common condition in the U.S., is caused by autoimmune reactions, osteoarticular injuries, and uric acid deposition. It affects around 25% of adults and is strongly linked to cardiovascular disease. The American Heart Association’s Life’s Essential 8 (LE8) composite, which considers cardiovascular health factors, has been studied for its predictive capacity in assessing arthritis risk. The study aims to provide tailored prevention recommendations and monitor factors associated with arthritis within the LE8 framework specifically for arthritic individuals.

Methods

This population-based study used data from the U.S. NHANES (2017–2020) for adults aged 20 + . Multivariate logistic and restricted cubic spline modeling explored the relationship between LE8 and arthritis, revealing significant nonlinearity (P < 0.001). Gradient Boosting Decision Trees were employed to conduct a predictive model of Arthritis risk.

Results

Through study, we found that idealer LE8 scores correlated with poorer arthritis risk. Subgroup analyses ideallighted poorer scores for smoking (P < 0.002, poor_socre and intermediate_score) and physical activity(P = 0.001, poor_score) as significant risk factors. Gradient Boosting Decision Trees predicted disease risk, with age, HDL cholesterol, and blood pressure identified as the three most significant predictive factors.

Conclusion

The LE8 score in U.S. adults shows a negative association with arthritis outcomes, with arthritis prevalence decreasing as the score increases. poorer Smoke and Physical Exercise Time components and intermediate Blood Glucose scores may be arthritis risk factors. The LE8 may help identify arthritis risk early and reduce its burden.