Evidence map›Paper›PMID 35873816›Full record

ArticleFrontiers in neuroscience2022

Development and Validation of a Daily Habit Scale.

Dejan Georgiev, Rosie Christie, Mariam Torkamani, Ruifeng Song, Patricia Limousin, Marjan Jahanshahi

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Dejan GeorgievDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Rosie ChristieDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Mariam TorkamaniDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Ruifeng SongDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Patricia LimousinDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Marjan JahanshahiDepartment Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habits are defined as automatic behaviours triggered by cues and performed without awareness. They are difficult to control and mentally efficient, which contrasts with goal-directed behaviour, which is characterised by active thought, high computational effort, and the ability to modify this behaviour in response to a changing environment and contextual demands. Habits are not only defined by the frequency with which a behaviour is performed but represent a complex construct that also includes the strength and automaticity of the habitual behaviour. We report here the development and validation of a Daily Habit Scale (DHS) to assess the frequency, automaticity, and strength of daily habits in healthy individuals. Item reduction based on factor analysis resulted in a scale with 38 items grouped into eight factors explaining 52.91% of the variance. The DHS showed very good internal consistency (

Indexed as

cortico-basal ganglia-thalamo cortical loopsdaily habits scalehabit formationhabitual behaviourvalidation

Identifiers

PMID35873816
PMCPMC9298974

What OpenQuestion holds

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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.