ArticleScientific reports2026
Impact of smartphone use duration before bedtime on university students' sleep quality, total and concentration performances, and reaction time.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From a neurophysiological perspective, using a smartphone before bedtime may impact sleep quality and cognitive performance. This is because it can suppress melatonin production due to exposure to light. These effects can impact attention, information processing, and reaction time. This study aimed to investigate the impact of smartphone usage duration before bedtime on the sleep quality, total performance, concentration, and reaction time of university students. A total of 263 university students participated in the study. After applying inclusion and exclusion criteria, a final sample of 187 participants was selected for analysis. The PSQI questionnaire was used to assess the participants' sleep quality. Reaction time was evaluated through the ruler drop test. Total and concentration performances were measured using the U-cancellation software. Total performance (TP) is defined as the total number of items presented minus the number of errors (misses and false alarms). On average, students spend 75.78 min using their smartphones with the light on before bedtime, and 38.50 min with the light off. 70.1% (n = 131) of students reported poor sleep quality (score ≥ 5). The mean total and concentration performances were evaluated in the letter test (281.32 and 134.63) and picture test (281.49 and 135.63), respectively. 39.6% of students had reaction times categorized as below average or average. There was a significant positive correlation of moderate and weak strength between the duration of smartphone use before bedtime in both situations with the light on/off and sleep quality (r = 0.49, r = 0.33, p = 0.000) as well as reaction time (r = 0.47, r = 0.37, p = 0.000). Additionally, a significant inverse relationship was found between smartphone usage before bedtime and total performance (r = - 0.15, p = 0.037) and concentration (r = - 0.19, p = 0.009) letters. Students who use smartphones for over 1 h before bedtime with the light on, or for over 30 min with the light off, have 2.4 (CI:1.131-5.340; p = 0.023) to 3.7 (CI: 1.753-8.105; p = 0.001) times higher odds of experiencing poor sleep quality. In this sample, using smartphones for more than 60 min before bedtime, with the lights on, and for more than 30 min with the lights off, can be associated with higher odds of lower sleep quality. Furthermore, long-term smartphone use may be linked with prolonged reaction times, leading to slower responses among students. Additionally, smartphone usage may have a negative impact on their total performance and concentration. These thresholds should be interpreted with caution as they are derived from a specific sample and require further validation in larger and more diverse populations to confirm their generalizability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.