Evidence map›Paper›PMID 39256720›Full record

ArticleBMC nursing2024

Exploring the association between internet addiction and time management among undergraduate nursing students.

Heba Fakieh Mansy Ali, Marwa Abd-El-Gawad Mousa, Mohamed Hussein Ramadan Atta, Shadia Ramadan Morsy

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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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

17 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.

Heba Fakieh Mansy AliNursing Education Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt.
Marwa Abd-El-Gawad MousaPsychiatric and Mental Health Nursing Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt.
Mohamed Hussein Ramadan AttaPsychiatric and Mental Health Nursing Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt. mohamed-hussein@alexu.edu.eg.
Shadia Ramadan MorsyNursing Education Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern undergraduate nursing students face unique challenges as digital natives balancing internet activities with the substantial academic demands of nursing studies. Given the detrimental effects of internet addiction on students' academic performance and well-being, having time management skills is crucial.

aimsTo assess the prevalence and levels of internet addiction and time management and their association among undergraduate nursing students.

designA cross-sectional, survey-based research design was used.

settingThe Faculty of Nursing at Alexandria University in Egypt. SUBJECTS: A stratified random sample consisting of 825 undergraduate nursing students. TOOLS: The internet addiction test and time management questionnaire were utilized to collect data.

findingsInternet addiction was prevalent among 98.8% of students, with 56.0% exhibiting mild levels, 40.0% showing moderate levels, and 2.8% having severe levels. A statistically significant negative correlation was found between students' internet addiction and overall time management (r= - 0.387, p < 0.001).

conclusionA considerable level of internet addiction was revealed among the great majority of undergraduate nursing students; however, many students also demonstrated strong time management skills. Furthermore, internet addiction and overall time management were negatively associated, indicating that students with higher levels of internet addiction tend to have poorer time management abilities. RECOMMENDATIONS: Individual counseling and educational training programs should be developed to teach nursing students how to manage time and effectively plan internet usage.

Indexed as

Internet addictionTime ManagementUndergraduate nursing students

Identifiers

PMID39256720
PMCPMC11389558

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LicenceCC BY
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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.