Moving beyond individual choice in policies to reduce health inequalities: the integration of dynamic with individual explanations

Kriznik, Natasha M.; Kinmonth, Ann Louise; Ling, Tom; Kelly, Michael P.

doi:10.1093/pubmed/fdy045

Cited by 42 publications

(54 citation statements)

References 36 publications

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“…People are able not just to make sense of the world in a general sense (Giddens, 1984 2-19) but also in ways which feed the very processes of active inference through which predictive processing takes place. In other words, we might think of the processes going on during predictive processing as both individual and as relational/social (Kriznik, Kinmonth, Ling, & Kelly, 2018). Typifications are an emergent property of the interactions between human agency and social structure and the interaction between social practices and the physical and biological environments that are ubiquitous to the human condition .…”

Section: Resultsmentioning

confidence: 99%

The brain, self and society: a social-neuroscience model of predictive processing

Kelly

Kriznik

Kinmonth

et al. 2018

Social Neuroscience

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This paper presents a hypothesis about how social interactions shape and influence predictive processing in the brain. The paper integrates concepts from neuroscience and sociology where a gulf presently exists between the ways that each describe the same phenomenon - how the social world is engaged with by thinking humans. We combine the concepts of predictive processing models (also called predictive coding models in the neuroscience literature) with ideal types, typifications and social practice - concepts from the sociological literature. This generates a unified hypothetical framework integrating the social world and hypothesised brain processes. The hypothesis combines aspects of neuroscience and psychology with social theory to show how social behaviors may be "mapped" onto brain processes. It outlines a conceptual framework that connects the two disciplines and that may enable creative dialogue and potential future research.

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Section: Resultsmentioning

confidence: 99%

The brain, self and society: a social-neuroscience model of predictive processing

Kelly

Kriznik

Kinmonth

et al. 2018

Social Neuroscience

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“…Additionally, future research is recommended to include social and environmental behavioural change determinants into analysis to extend our understanding beyond individuals as recommended by Kriznik et al (2018) and many other researchers.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

“…A shift towards dynamic evaluation methods is needed to centre research attention on the proportion of the target audience who change (or not) and understanding which factors support positive change outcomes along with the factors contributing to undesired change. Responding to calls to direct efforts to understanding more complex relational and dynamic factors (Kriznik et al, 2018), this paper employs one dynamic analytical method drawing on available data from a social marketing food waste pilot program. Food waste is a global problem.…”

Section: Introductionmentioning

confidence: 99%

(Re)Focussing on behavioural change: an examination of the utility of hidden Markov modelling

David

Rundle‐Thiele

Pallant

2019

JSOCM

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Purpose -Behavioural change practice has focussed attention on understanding behaviour; failing to apply dynamic approaches that capture the underlying determinants of behavioural change. Following recommendations to direct analytical focus towards understanding both the causal factors of behaviour and behavioural change to enhance intervention practice, this paper applied a Hidden Markov Model (HMM) approach to understand why people transition from one state to another (e.g. reporting changes from wasting food to not wasting food or vice versa).Design/methodology/approach -Data was drawn from a 2017 food waste program 1 that aimed to reduce waste of fruit and vegetables by increasing self-efficacy through a 2-week pilot, featuring recipes and in-store cooking demonstrations. A repeated measure longitudinal research design was used. 314 households completed a phone survey prior to the two-week pilot and 244 completed the survey in the weeks following the intervention (77% retention in the evaluation study).Findings -Two behavioural states were identified, namely fruit and vegetable (FV) wasters and non FV-wasters. Age was identified as a causal factor for FV food wasting prior to the campaign (45-54 years were most likely to waste FV). Following the intervention, a total of 43.8% transitioned away from FV wasters to non-wasters, and attitudes and self-efficacy were indicated as potential causal factors of this change in FV waste behaviour.Originality/value -Through this application, it is demonstrated how HMM can identify behavioural states, rates of behaviour change and importantly how HMM can identify both causal determinants of behaviour and behavioural change. Implications, limitations and future research directions are outlined.

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“…This remains a fundamental problem, especially for those working to apply the principles of EBM and public health. To highlight this, Kelly reiterated that knowing the cause (in a linear, regularities sense) of a disease does nothing to help understand how to prevent that disease . There is a traditional focus on “what” questions in EBM, and not enough on the “hows,” and this is a fatal flaw.…”

Section: Talks and Central Issuesmentioning

confidence: 99%

The guidelines challenge—Philosophy, practice, policy

Anjum

Copeland

Kerry

et al. 2018

Evaluation Clinical Practice

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Moving beyond individual choice in policies to reduce health inequalities: the integration of dynamic with individual explanations

Cited by 42 publications

References 36 publications

The brain, self and society: a social-neuroscience model of predictive processing

The brain, self and society: a social-neuroscience model of predictive processing

(Re)Focussing on behavioural change: an examination of the utility of hidden Markov modelling

The guidelines challenge—Philosophy, practice, policy

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