Sleep quality and renal function among Chinese incoming college freshmen

The mediating role of lifestyle behaviors

Datos Bibliográficos

ID22089752
AutoresHuiying Wang (0000-0002-8006-7429, Xuzhou Medical College), Jiali Li (0009-0005-1753-5647, Xuzhou Medical College), Yaohui Han (Xuzhou Medical College), Shilei Zhai (Xuzhou Medical College), Yumeng Liu (0000-0003-0927-9039, Xuzhou Medical College), Peipu Shen (Xuzhou Medical College, autor de correspondencia), Guifang Shen (Xuzhou Medical College, autor de correspondencia), Lishun Xiao (0000-0002-0879-252X, Xuzhou Medical College, autor de correspondencia)
Año2025
Volumen13
Páginas1502947-1502947
Fecha de publicación2025-06-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1502947
PMID40547472
OpenAlexW4411107148
IdiomaEN
Citas recibidas1
Referencias citadas30

Objective This study investigates the association between sleep quality and renal function indicators, with a focus on how lifestyle behaviors mediate this relationship among Chinese incoming college freshmen during post-examination vacation period. Methods This cross-sectional study included 3,743 non-smoking, non-drinking freshmen from two universities in Xuzhou, China. Data on demographics, sleep quality, and blood biochemical indicators were collected through self-administered questionnaires, Pittsburgh Sleep Quality Index (PSQI) and physical examinations. Multiple logistic regression (MLR) was applied to explore the related biochemical indicators associated with sleep quality. Structural equation modeling (SEM) was subsequently used to evaluate the mediating effects of lifestyle factors in this relationship. Results Higher creatinine levels (OR = 1.01, p = 0.002) increased the risk of poor sleep quality, while higher urea levels (OR = 0.87, p < 0.001) decreased it. Unhealthy lifestyle behaviors were also associated with sleep quality, including habitual caffeinated beverage intake (OR = 1.11, p = 0.003) and daily screen time (OR = 1.08, p = 0.001). Stratified analyses by gender further supported these associations, especially in females. SEM revealed that sleep quality could affect renal function (represented by creatinine and urea) though the independent mediating effect of daily screen time and the chain mediating effect of caffeinated beverage intake and daily screen time. Conclusion These findings suggest that promoting healthy sleep, limiting screen exposure, and reducing caffeine consumption may help protect renal health in incoming college freshmen

Cognition · Psychiatry · Sleep quality · Clinical Psychology · Coffee research and impacts · Computer Science · Medicine · Mobile Health and mHealth Applications · Psychology · Sleep and related disorders · Gerontology