Smartphone Addiction Among Medical Students and Its Implications on Sleep Quality and BMI: A Cross-Sectional Study.

Cureus · 2025 · PMC12450477 · PMID 40984947

Europe PMC DOI

hedged sentences

0.0570

closest p · 1.1× alpha

0.0770

boldest claim

The sentences

did not reach statistical significancep = 0.057so close (0.05 < p ≤ 0.1)

Students with smartphone addiction had a higher prevalence of poor sleep quality (88.8%) compared to non-addicted students (81.4%), though this difference approached but did not reach statistical significance (χ2 = 3.610, p = 0.057).

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marginally significantp = 0.077so close (0.05 < p ≤ 0.1)

ANOVA analysis revealed marginally significant differences in SAS-SV scores across academic years (F = 2.299, p = 0.077), with second-year students having the highest mean scores (32.55 ± 8.98).

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highly significantno p-value reported

The highly significant p-value for SAS-SV (<0.001) confirms that addicted students have much higher addiction scores.

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near-significantno p-value reported

The p-value for PSQI (0.375) suggests no significant difference in sleep quality scores between addicted and non-addicted groups, but the near-significant p-value for bad sleep prevalence (0.057) suggests a trend toward worse sleep among the addicted group.

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