The psychological determinants of making lifestyle and dietary behaviours after using an online cognitive health tool and its associated recommendations for protective cognitive health behaviours
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M. Bird [1] ; C. Cooper [1] ; F. Patel [2] ; C. Copeman [1] ; J.L. Stansfeld [3] ; G. Charlesworth [2] ; E. Aguirre [4]
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[1] University College London
University College London
Reino Unido
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[2] Research and Development, North East London NHS Foundation Trust, United Kingdom
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[3] Division of Psychiatry, University College London/ Research and Development, North East London NHS Foundation Trust. United Kingdom
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[4] Research and Development, North East London NHS Foundation Trust. Department of Clinical, Education and Health Psychology, University College London, United Kingdom
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- Localización: European journal of psychiatry, ISSN 0213-6163, Vol. 35, Nº 3, 2021, págs. 145-156
- Idioma: inglés
- Enlaces
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Resumen
Background & objectives The Covid-19 pandemic has revolutionised how we receive services, with a huge shift to online delivery. Online health promotion tools could be a cost-effective and safe way to improve population health. We used mixed methods to explore user responses to an online cognitive health tool.
Methods 15–28 months after completing an online tool, comprising a cognitive test, lifestyle questionnaire; and dietary and lifestyle behaviour feedback, 4826 participants completed an online survey about their perceptions of it; and questions about their capability, opportunity and motivation for behavioural change developed using the COM-B behaviour change model. We reported how responses to the behaviour change questionnaire predicted decisions to make lifestyle and dietary changes. 24 participants attended focus groups to further explore their responses.
Results Most users reported that the tool was useful (88%), with 37% reporting they made lifestyle or dietary changes after using it. More positive responses to questions regarding capability and motivation predicted making changes. Over a third (36%) felt more fearful after completing the tool. In qualitative findings, we identified barriers to engagement across the three COM-B domains: a sense that information was “nothing new” (so did not enhance capability); that “experts don’t agree” and that the tool may not be credible (influencing motivation), and a lack of support from peers and lower availability of healthy food (reducing opportunities for change).
Conclusions Future e-health tools will be most effective if they have high credibility, demonstrate advice is evidence-based and provide opportunities for support and follow up.
