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Triangulating Evidence from Observational and Mendelian Randomization Studies of Leisure Screen Time for Epigenetic Age Acceleration

Xu Z, Wang Y, Dai Z, Yu AP, Wong SH

Medicine and science in sports and exercise · 0 citas

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Cómo se estudió

Diseño
Estudio transversal (clasificado por nuestro filtro de IA)
Estudiado en
Personas
Resultado principal
Marcadores de salud y funcionamiento

Quién lo pagó

Financiación
Financiación no declarada

Publicación

Publicado
2026-06-02 · Med Sci Sports Exerc
Editorial
Lippincott Williams & Wilkins
Citado
0 citas · más que el 33% de estudios similares · 0.0× el promedio de su campo
Referencias
0 trabajos
Acceso
De pago
Áreas de investigación
Epigenetics and DNA Methylation · Physical Activity and Health · Genetic Associations and Epidemiology
Palabras clave
leisure screen time, sedentary behavior, epigenetic age acceleration, epigenetic clocks, GrimAge, premature aging, causal inference, mediation analysis, body mass index, C-reactive protein, HDL cholesterol, type 2 diabetes, heart failure, inflammation, adiposity

5 autores

  • Zhen Xu🇭🇰Chinese University of Hong Kong
  • Yidi Wang🇨🇳Guangdong Polytechnic Normal University
  • Zihan Dai🇭🇰Chinese University of Hong Kong
  • Angus P. Yu🇭🇰Chinese University of Hong Kong
  • S Y S Wong🇭🇰 · autor de correspondenciaChinese University of Hong Kong

Resumen

El texto original del estudio, en el idioma en que se publicó.

Purpose

Sedentary behavior is associated with premature aging and mortality; however, its relationship with epigenetic age acceleration and the pathways mediating this association remain unclear. We applied a triangulation approach integrating observational and Mendelian randomization (MR) analyses to investigate these associations and identify potential mediators.

Methods

First, observational analyses were conducted using data from the National Health and Nutrition Examination Survey (1999-2002). Weighted multivariable linear regression was used to examine associations between leisure screen time (a proxy for sedentary behavior) and epigenetic age acceleration, assessed using four epigenetic clocks (HorvathAge, HannumAge, PhenoAge, GrimAge). Second, two-sample MR was performed using genetic instruments for leisure screen time and epigenetic age acceleration in individuals of European descent (N=34,170 to 526,725). Two-step MR was then applied to evaluate the mediating roles of 21 modifiable traits, including adiposity, inflammation, lipids, and diseases, in these associations.

Results

In observational analyses (N=2,397; mean age, 63.2 years; 54.1% female), leisure screen time ≥5 h/day (1 h/day as reference) was suggestively associated with a 1.66-year GrimAge acceleration (95% CI, 0.40 to 2.92; P=0.02) after Bonferroni correction, with an inflection point at 4 h/day; no associations were observed for the other three clocks. MR corroborated these findings, demonstrating a significant association that each additional 1.9 h/day of leisure screen time was causally associated with a 0.62-year GrimAge acceleration (95% CI, 0.35 to 0.89; P=5.2×10 -6). Two-step MR identified genetically determined body mass index, C-reactive protein, high-density lipoprotein cholesterol, type 2 diabetes, and heart failure as mediators, accounting for 3.2% to 11.5% of the observed association.

Conclusions

These findings underscore the importance of reducing leisure screen time and inform intervention strategies for mitigating epigenetic aging disparities.

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