Claims

Internet use is a significant predictor of increased academic burnout among medical students

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · 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? Among Iranian medical students, internet use was a significant predictor of increased academic burnout, while mobile phone addiction had no significant effect. → Baghcheghi Nayereh; Koohestani Hamid Reza 2026

Evidence

Baghcheghi Nayereh; Koohestani Hamid Reza 2026

Baghcheghi Nayereh; Koohestani Hamid Reza. (2026). A scoping review of internet addiction and academic performance among health sciences students. BMC Psychology. https://doi.org/10.1186/s40359-026-04883-x

q2 · i? · review · r2

The review reports, citing Sadeghi Bimorgh (2023), a cross-sectional study of 190 Iranian medical students using the YIAT-20 and MBI, in which "Internet use was a significant predictor of increased academic burnout" and mean IA score was lower among clinical trainees.

"For instance, among Iranian medical students, Internet use was a significant predictor of increased academic burnout [20]"

Discussion

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