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Associations Between Screen Exposure, Multidimensional Sleep Indicators, and Type 2 Diabetes: A Cross-sectional Study

Feng Zhai1, Yanbo Li2

  • 1Department of Otolaryngology, Shanghai Children's Medical Center, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Journal of Diabetes Science and Technology
|March 2, 2026
PubMed
Summary
This summary is machine-generated.

Excessive screen time increases type 2 diabetes mellitus (T2DM) risk, especially for females and those with sleep disorders. This highlights the need for targeted interventions to mitigate T2DM through managing screen habits and sleep health.

Keywords:
National Health Surveydesign-based survey-weighted datamultidimensional sleep metrics and indicatorsscreen exposuresedentary behaviorsleep disorders and disturbancessleep healthtype 2 diabetes mellitus

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Area of Science:

  • Public Health
  • Epidemiology
  • Metabolic Diseases

Background:

  • Type 2 Diabetes Mellitus (T2DM) is a growing global health concern.
  • Excessive screen time is linked to sedentary lifestyles, poor sleep, and circadian disruption, potential T2DM contributors.
  • The interplay between screen time, sleep characteristics, and diabetes risk is not well understood.

Purpose of the Study:

  • To investigate the association between screen exposure and T2DM risk.
  • To examine sleep duration and diagnosed sleep disorders as potential effect modifiers.
  • To explore variations in the association by age, sex, and race/ethnicity.

Main Methods:

  • Analysis of 23,023 US adults from the 2007-2016 National Health and Nutrition Examination Survey.
  • Screen exposure dichotomized using age-specific thresholds (≥2 hours/day for youth, ≥3 hours/day for adults).
  • Logistic regression analysis accounting for sleep characteristics, demographics, and survey weights; multiple imputation for missing data.

Main Results:

  • High screen exposure was significantly associated with increased odds of T2DM (OR=3.47).
  • Sleep disorders were linked to approximately twofold higher odds of T2DM (OR=2.21), but sleep duration was not independently associated.
  • The association between screen time and T2DM was stronger in females and varied across sleep and racial/ethnic subgroups.

Conclusions:

  • Excessive screen time is a significant risk factor for elevated T2DM risk.
  • Individuals with sleep disorders and females appear particularly vulnerable to the T2DM risks associated with high screen exposure.
  • Further longitudinal research is necessary to establish causality and develop targeted prevention strategies.