Evidence map›Paper›PMID 35728903›Full record

ArticleBMJ open2022

Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.

Max Olsson, David C Currow, Magnus Per Ekström

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

3 authors.

Max OlssonDepartment of Clinical Sciences Lund, Respiratory Medicine and Allergology, Lunds University Faculty of Medicine, Lund, Sweden max.olsson@med.lu.se.ORCID 0000-0002-0437-3168
David C CurrowFaculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.ORCID 0000-0003-1988-1250
Magnus Per EkströmDepartment of Clinical Sciences Lund, Respiratory Medicine and Allergology, Lunds University Faculty of Medicine, Lund, Sweden.ORCID 0000-0002-7227-5113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning. DESIGN AND

settingThis is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 2019.

participantsA total of 475 older men aged 73 years from the VASCOL dataset. MEASURES: Self-perceived health was measured using the first item of the Short Form 12. An extreme gradient-boosting model was trained to classify self-perceived health as better (rated:

resultsThe most important factors for classifying self-perceived health were: pain (0.629), sleep quality (0.595), breathlessness (0.549), fatigue (0.542) and depression (0.526).

conclusions

Indexed as

Health StatusQuality of LifeAgedCross-Sectional StudiesDepressionHumansMachine LearningMaleSwedengeriatric medicinehealth informaticspublic health

Identifiers

PMID35728903
PMCPMC9214374

What OpenQuestion holds

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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.