Abstract
This cross-sectional study evaluated the association between sleep health and the Lifestyle Inflammation Score (LIS), which has not been sufficiently examined in previous research. We further assessed whether inadequate sleep duration and poor sleep quality are associated with a higher LIS. Moreover, we explored the effects of age, sex, and income. A generalized ordered logit model was used to evaluate the association between sleep health and the LIS, incorporating independent variables and control variables. Separate models predicted the LIS quintile probability for each combination of sleep quality and sleep duration. Inadequate sleep duration (odds ratio [OR]: 1.108, P < 0.001) and poor sleep quality (OR: 1.090, P < 0.001) were significantly associated with higher LIS across quintiles. The probability of belonging to the highest LIS quintile (Q5) did not increase proportionally with age. Crucially, predictive margins analysis showed that poor sleep health was associated with a higher predicted probability of being in the highest LIS quintile (20.7%) compared with good sleep health (18.4%). This large-scale nationwide study identified consistent associations between poor sleep health and higher inflammation burden within the study population, highlighting the need for comprehensive management strategies addressing sleep alongside other lifestyle factors.