Evidence map›Paper›PMID 34068961›Full record

ArticleBehavioral sciences (Basel, Switzerland)2021

Studying Behaviour Change Mechanisms under Complexity.

Matti T J Heino, Keegan Knittle, Chris Noone, Fred Hasselman, Nelli Hankonen

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
  2. Impact of warm mindfulness on emotion regulation: A randomized controlled effectiveness trial.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
    Trial
  3. Motivational profiles and change in physical activity during a weight loss intervention: a secondary data analysis.The international journal of behavioral nutrition and physical activity · 2021
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  15. Reorienting psychological science.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    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

5 authors.

Matti T J HeinoFaculty of Social Sciences, University of Helsinki, P.O. Box 54, 00014 Helsinki, Finland.ORCID 0000-0003-0094-2455
Keegan KnittleFaculty of Social Sciences, University of Helsinki, P.O. Box 54, 00014 Helsinki, Finland.ORCID 0000-0002-2108-7112
Chris NooneSchool of Psychology, National University of Ireland, H91 TK33 Galway, Ireland.ORCID 0000-0003-4974-9066
Fred HasselmanBehavioural Science Institute, Radboud University Nijmegen, Postbus 9104, 500 HE Nijmegen, The Netherlands.ORCID 0000-0003-1384-8361
Nelli HankonenFaculty of Social Sciences, University of Helsinki, P.O. Box 54, 00014 Helsinki, Finland.

Funding

Academy of Finland 285283Academy of Finland 295765
6 · The paper itself

Abstract

Understanding the mechanisms underlying the effects of behaviour change interventions is vital for accumulating valid scientific evidence, and useful to informing practice and policy-making across multiple domains. Traditional approaches to such evaluations have applied study designs and statistical models, which implicitly assume that change is linear, constant and caused by independent influences on behaviour (such as behaviour change techniques). This article illustrates limitations of these standard tools, and considers the benefits of adopting a complex adaptive systems approach to behaviour change research. It (1) outlines the complexity of behaviours and behaviour change interventions; (2) introduces readers to some key features of complex systems and how these relate to human behaviour change; and (3) provides suggestions for how researchers can better account for implications of complexity in analysing change mechanisms. We focus on three common features of complex systems (i.e., interconnectedness, non-ergodicity and non-linearity), and introduce Recurrence Analysis, a method for non-linear time series analysis which is able to quantify complex dynamics. The supplemental website provides exemplifying code and data for practical analysis applications. The complex adaptive systems approach can complement traditional investigations by opening up novel avenues for understanding and theorising about the dynamics of behaviour change.

Indexed as

behaviour changecomplex systemsmethodologywellbeing

Identifiers

PMID34068961
PMCPMC8156531

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.