Claims

Sleep duration contributes more to variance in Chinese, mathematics, and science performance than to English and arts, but less than socioeconomic status in every subject

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Shapley decomposition attributes 6.94%, 5.11%, and 6.24% of explained variance to sleep in Chinese, math, and science versus 2.95% and 4.36% in English and arts. → Wang 2025

Evidence

Wang 2025

Wang, M., Chen, Z., Han, N., & Yao, H. (2025). Sleep duration and subject-specific academic performance among adolescents in China. npj Science of Learning. https://doi.org/10.1038/s41539-025-00361-y

q2 · i? · associational · r2

Shapley value decomposition of R² across predictors (Table 3). Sleep's combined contribution is non-trivial but never dominant: family socioeconomic and cultural status contributes more in every subject (e.g., 70.37% in math).

"the contribution of sleep duration is lower for foreign language and arts, accounting for 2.95% and 4.36%. These findings suggest that although sleep is nonlinearly associated with performance across all subjects, its impact is more pronounced in cognitively demanding subjects such as mathematics and science"

Discussion

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