Evidence map›Paper›PMID 40103866›Full record

ArticlePakistan journal of medical sciences2025

Correlation between social media addiction and academic procrastination in medical students at public and private medical colleges at Peshawar.

Khurram Naushad, Brekhna Jamil, Naveed Afzal Khan, Maidha Jadoon

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Khurram NaushadDr. Khurram Naushad, MBBS, MHPE Lecturer, Department of Medical Education, Khyber Girls Medical College, Peshawar, Pakistan.
Brekhna JamilDr. Brekhna Jamil, BDS, MHPE, PhD Medical Education Professor (Director), Institute of Health Professions Education & Research, Khyber Medical University, Peshawar, Pakistan.
Naveed Afzal KhanDr. Naveed Afzal Khan, MBBS, MHPE, Assistant Professor, Department of Medical Education, Khyber Girls Medical College, Peshawar, Pakistan.
Maidha JadoonDr. Maidha Jadoon, BDS, MHPE. Assistant Professor, DMER, Women Medical and Dental College, Abbottabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aim was to assess correlation between social media addiction and academic procrastination among medical students at public and private medical colleges in Peshawar. Methods: A correlational research design was employed with research protocols approved by the Advance Studies and Research Board of Khyber Medical University. Data were collected from two public and five private medical colleges. Universal sampling was then performed. Of 4716 medical students, 3366 participated in the study, with a response rate of 71.4%. This study was conducted between June and December 2023. Data were collected using the structured social media addiction scale (SMAS) and academic procrastination scale (APS). Results: Male participants were (1775) 52.7%, and the rest (1591) 47.3% were female. Among the responders (1591) 61% resided in hostels. The mean academic achievement was 74.14%, ranging from 30% to 85%. Most medical students (63%) showed moderate and 34% showed high academic procrastination. Majority of the medical students (81%) were social media addicts and male reported higher scores. Social media addiction was highly correlated with academic procrastination (r=0.539), which was regressed and found that 29% (R Conclusion: Social media addiction prevails among medical students and is highly correlated with academic procrastination. Hostel residents, males, and android users were more addicted to social media than their counterparts.

Indexed as

Academic procrastinationMedical educationMedical studentsSocial media addiction

Identifiers

PMID40103866
PMCPMC11911750

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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.