Evidence map›Paper›PMID 26596355›Full record

ArticleBMC public health2015

Profiles of sedentary and non-sedentary young men - a population-based MOPO study.

Riitta Pyky, Anna-Maiju Jauho, Riikka Ahola, Tiina M Ikäheimo, Heli Koivumaa-Honkanen, Matti Mäntysaari, Timo Jämsä, Raija Korpelainen

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Riitta PykyDepartment of Sports and Exercise Medicine, Oulu Deaconess Institute, Albertinkatu 18A, P. O. Box 365, 90100, Oulu, Finland. riitta.pyky@odl.fi.
Anna-Maiju JauhoDepartment of Sports and Exercise Medicine, Oulu Deaconess Institute, Albertinkatu 18A, P. O. Box 365, 90100, Oulu, Finland. anna.jauho@oulu.fi.
Riikka AholaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. riikka.ahola@oulu.fi.
Tiina M IkäheimoCenter for Environmental and Respiratory Health Research, University of Oulu, Oulu, Finland. tiina.ikaheimo@oulu.fi.
Heli Koivumaa-HonkanenDepartment of Psychiatry, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland. heli.koivumaa-honkanen@kuh.fi.
Matti MäntysaariCentre for Military Medicine, The Finnish Defence Forces, Helsinki, Finland. matti.mantysaari@mil.fi.
Timo JämsäResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. timo.jamsa@oulu.fi.
Raija KorpelainenDepartment of Sports and Exercise Medicine, Oulu Deaconess Institute, Albertinkatu 18A, P. O. Box 365, 90100, Oulu, Finland. raija.korpelainen@odl.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behavior is associated with poor well-being in youth with adverse trajectories spanning to adulthood. Still, its determinants are poorly known. Our aim was to profile sedentary and non-sedentary young men and to clarify their differences in a population-based setting.

methodsA total of 616 men (mean age 17.9, SD 0.6) attending compulsory conscription for military service completed a questionnaire on health, health behavior, socioeconomic situation and media use. They underwent a physical (body composition, muscle and aerobic fitness) and medical examination. Profiles were formed by principal component analysis (PCA).

resultsA total of 30.1 % men were sedentary (daily leisure-time sitting ≥5 h) and 28.9 % non-sedentary (sitting ≤2 h). The sedentary men had more body fat, more depressive symptoms, but lower fitness and life satisfaction than non-sedentary men. However, according to PCA, profiles of unhealthy eating, life-dissatisfaction, and gaming were detected both among sedentary and non-sedentary men, as well as high self-rated PA and motives to exercise.

conclusionDeterminants of sedentary and non-sedentary lifestyles were multiple and partially overlapping. Recognizing individual patterns and underlying factors of the sedentary lifestyle is essential for tailored health promotion and interventions.

Indexed as

Adipose TissueDepressionExerciseLeisure ActivitiesPersonal SatisfactionPhysical FitnessSedentary BehaviorAdolescentBody CompositionFeeding BehaviorHealth BehaviorHealth PromotionHumansMaleMotivationPosture

Identifiers

PMID26596355
PMCPMC4657332

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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.