2021
DOI: 10.3390/bs11050077
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Studying Behaviour Change Mechanisms under Complexity

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,… Show more

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Cited by 64 publications
(57 citation statements)
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References 134 publications
(173 reference statements)
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“…For example, as we know that lack of available COVID-19 tests is a barrier to getting tested, unless interventions address this barrier then people will remain unlikely to get a test, and importantly, be unlikely to do related behaviours that precede it (i.e., identify symptoms as COVID-19) or follow it (i.e., self-isolate). There has been a call for more research applying a complex adaptive systems approach to understand the complexity of behaviour change [15] and this research supports and the role of qualitative research in understanding this complexity.…”
Section: Discussionmentioning
confidence: 86%
“…For example, as we know that lack of available COVID-19 tests is a barrier to getting tested, unless interventions address this barrier then people will remain unlikely to get a test, and importantly, be unlikely to do related behaviours that precede it (i.e., identify symptoms as COVID-19) or follow it (i.e., self-isolate). There has been a call for more research applying a complex adaptive systems approach to understand the complexity of behaviour change [15] and this research supports and the role of qualitative research in understanding this complexity.…”
Section: Discussionmentioning
confidence: 86%
“…This suggest that some participants can experience cumulative effects over time (shorter sleep durations in this case) and that only analyzing these associations at lag-1 might impede more precise interpretation of the sleep-physical activity relationships (see on that topic, Irish et al, 2014 ). New visualization and/or statistical methods are needed to better understand the dynamic patterns of association between sleep and physical activity at different lags (see Hasselman & Bosman, 2020 ; Heino et al, 2021 for methods from the field of complexity). Third, in regard to generalizability, results from this study are limited to our participants characteristics, i.e., young adults who are overweight or obese, without comorbidities, participating in a weight management program who generally are physically active and have good sleep efficiency on average, as well as a low sample size (i.e., N = 33; which is a limitation here in regards of the generalizability of our results, but not in term of statistical power).…”
Section: Study Strengths and Limitationsmentioning
confidence: 99%
“…In subsequent work we have refined, developed and applied these methods to a range of other so-called 'wicked' problems involving human behaviour. We believe that this method may be a pragmatic approach to answering calls for greater application of systems-based approaches in the field of behaviour change (Heino et al, 2021;Moore et al, 2019;Rutter et al, 2017).…”
Section: Discussionmentioning
confidence: 99%