ArticleInternational journal of environmental research and public health2026
Prevalence of Internet Addiction Among Thai Pharmacy Students: A Cross-Sectional Study.
Article in International journal of environmental research and public health, 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
Abstract
The internet is increasingly embedded in daily life; however, excessive use may lead to internet addiction, adversely affecting health and academic performance. This study aimed to determine the prevalence of internet addiction and its association with depressive symptoms among pharmacy students at Mahasarakham University. A cross-sectional survey was conducted between 1 October and 31 December 2025 among undergraduate pharmacy students (years 1-6) aged ≥18 years who provided voluntary consent. Data were collected via street-based and online self-administered questionnaires validated for content and reliability. Descriptive and inferential statistics were applied, and binary logistic regression was used to identify associated factors. Among 396 participants, the mean internet use was 9 h 43 min per day. The prevalence of excessive use (risk) was 75.95%, while 17.47% met criteria for internet addiction. High to very high psychological problems were significantly associated with internet addiction (aOR = 3.89; 95% CI: 1.70-8.89;
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.