Evidence map›Paper›PMID 41161298›Full record

ArticleKorean journal of family medicine2026

The effects of sedentary behavior types and physical activity on well-being in university youth during the pandemic: a pilot study.

Sumbule Koksoy Vayisoglu, Emine Oncu, Gulsah Bilgin

Abstract read
In one paragraph

Article in Korean journal of family medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sumbule Koksoy VayisogluDepartment of Public Health Nursing, Nursing Faculty, Mersin University, Mersin, Türkiye. sumbulekoksoy@gmail.com.
Emine OncuDepartment of Public Health Nursing, Nursing Faculty, Mersin University, Mersin, Türkiye.
Gulsah BilginDepartment of Public Health Nursing, Nursing Faculty, Mersin University, Mersin, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the effects of sedentary behavior types and physical activity on well-being. Methods: A cross-sectional study was conducted with 428 university students. The study data were collected through online forms between March and April 2021: the Sociodemographic Characteristics and Activities Form, Sedentary Behaviour Questionnaire, Health Assessment Form, and World Health Organization-5 Well-Being Index. Data were evaluated using descriptive statistics and decision tree analysis. Results: The average time spent sedentary in a day was 11.231±4.358 hours. The mean sedentary time spent mentally passive was 4.660±2.240 hours, and the time spent mentally active was 6.571±3.335 hours. A low positive correlation was observed between well-being score and weekly moderate and total moderate-to-high physical activity time, and a low negative correlation was observed with mentally passive sedentary time. According to decision tree analysis, students who rated their health status as worse than in the previous year and those who did not engage in any physical activity were more likely to be classified as individuals at risk in terms of well-being. In contrast, among those who reported no change in their health status, students who engaged in physical activity and had mentally passive sedentary time below 5.25 hours were less likely to be assigned to the risk group. Conclusion: To protect physical and mental health, measures should be taken to reduce sedentary time, especially mentally passive sedentary time, and to increase physical activity time.

Indexed as

Mentally ActiveMentally PassivePhysical ActivitySedentary BehaviorWell-Being

Identifiers

PMID41161298
PMCPMC13216686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.