Evidence map›Paper›PMID 25995596›Full record

ArticleJournal of physical therapy science2015

Relationship between the intensity of physical activity and depressive symptoms among Korean adults: analysis of Korea Health Panel data.

Jin-Won Noh, Sang Ah Lee, Hyo Jin Choi, Jin Hyuk Hong, Min Hee Kim, Young Dae Kwon

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

6 authors.

Jin-Won NohDepartment of Healthcare Management, Eulji University, Republic of Korea.
Sang Ah LeeDepartment of Healthcare Management, Eulji University, Republic of Korea.
Hyo Jin ChoiDepartment of Healthcare Management, Eulji University, Republic of Korea.
Jin Hyuk HongDepartment of Healthcare Management, Eulji University, Republic of Korea.
Min Hee KimDepartment of Physical Therapy, College of Health Science, Eulji University, Republic of Korea.
Young Dae KwonDepartment of Humanities and Social Medicine, College of Medicine and Catholic Institute for Healthcare Management, The Catholic University of Korea, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The aim of this study was to examine the relationship between the intensity of physical activity and symptoms of depression. [Subjects and Methods] We analyzed the influence of different intensities of physical activity on depressive symptoms using the data of 12,350 adults over the age of 20 years who had completed the 2011 Korea Health Panel. After controlling for confounding variables, a multivariable logistic regression analysis was conducted to identify the association between the intensity of physical activity and depressive symptoms. [Results] The results showed that vigorous physical activity had a significant effect on depressive symptoms. The incidence of depressive symptoms was 1.487 (95% CI 1.137, 1.943) OR higher among people who did not participate in regular activity than it was among those who took part in regular intense physical activity. [Conclusion] It appears that physical activity affects depressive symptoms, a result which is in agreement with previous studies. However, we also showed a difference in influence according to activity intensity. Thus, the intensity of physical activity should be considered when developing physical activity programs for improving depressive symptoms.

Indexed as

Depressive symptomsIntensity of physical activity

Identifiers

PMID25995596
PMCPMC4434017

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.