Evidence map›Paper›PMID 32372549›Full record

ArticleESC heart failure2020

Utility of single-item questions to assess physical inactivity in patients with chronic heart failure.

Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg, Tiny Jaarsma

Registry-linked trialAbstract read
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05235763 (Heart Failure Activity Coach Study), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT05235763 nacompletednot on this mapstarted 2022, after this paper: background citation

Heart Failure Activity Coach Study

TypeinterventionalSponsorCareLigo ABRan2022 to 2023Enrolled20ConditionsPhysical Inactivity, Heart FailureArmsactivity coach, sham activity coach
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

5 authors.

Andreas BlomqvistDepartment of Health, Medicine and Caring Sciences, Division of Nursing Sciences and Reproductive Health, Linköping University, 581 83, Linköping, Sweden.
Maria BäckDepartment of Health, Medicine and Caring Sciences, Division of Physiotherapy, Linköping University, Linköping, Sweden.
Leonie KlompstraDepartment of Health, Medicine and Caring Sciences, Division of Nursing Sciences and Reproductive Health, Linköping University, 581 83, Linköping, Sweden.
Anna StrömbergDepartment of Health, Medicine and Caring Sciences, Division of Nursing Sciences and Reproductive Health, Linköping University, 581 83, Linköping, Sweden.
Tiny JaarsmaDepartment of Health, Medicine and Caring Sciences, Division of Nursing Sciences and Reproductive Health, Linköping University, 581 83, Linköping, Sweden.

Funding

Medical Research Council of Southeast Sweden FORSS 474681Swedish National Science Council 2014-4100Swedish National Science Council 2016-01390Swedish National Science Council K2013-69X-22302-01-3The Swedish Heart and Lung Association E085/12The Swedish Heart and Lung Foundation 20130340The Swedish Heart and Lung Foundation 20160439Vårdal Foundation 2014-0018
6 · The paper itself

Abstract

aimThe purpose of this study was to explore the utility of two single-item self-report (SR) questions to assess physical inactivity in patients with heart failure (HF). METHODS AND

resultsThis is a cross-sectional study using data from 106 patients with HF equipped with accelerometers for 1 week each. Two SR items relating to physical activity were also collected. Correlations between accelerometer activity counts and the SR items were analysed. Patients were classified as physically active or inactive on the basis of accelerometer counts, and the SR items were used to try to predict that classification. Finally, patients were classified as having high self-reported physical activity or low self-reported physical activity, on the basis of the SR items, and the resulting groups were analysed for differences in actual physical activity. There were significant but weak correlations between the SR items and accelerometer counts: ρ = 0.24, P = 0.016 for SR1 and ρ = 0.21, P = 0.033 for SR2. Using SR items to predict whether a patient was physically active or inactive produced an area under the curve of 0.62 for SR1, with a specificity of 92% and a sensitivity of 30%. When dividing patients into groups on the basis of SR1, there was a significant difference of 1583 steps per day, or 49% more steps in the high self-reported physical activity group (P < 0.001).

conclusionsThere might be utility in the single SR question for high-specificity screening of large populations to identify physically inactive patients in order to assign therapeutic interventions efficiently where resources are limited.

Indexed as

Heart FailureSedentary BehaviorChronic DiseaseCross-Sectional StudiesExerciseHumansAccelerometerHeart failurePhysical inactivitySelf-report

Identifiers

PMID32372549
PMCPMC7373918

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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 Socratic graph.