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Fuzzy Cognitive Maps As a Tool for Identifying Cognitive Conflicts That Hinder the Adoption of Healthy Habits

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Publisher MDPI
Date 2022 Feb 15
PMID 35162434
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Abstract

Implementing healthy lifestyle habits can take a great effort and sticking to such prescriptions is complicated. Failure rates amongst people seeking to adopt a healthier diet are estimated to be around 80%. Exploring the network of meanings that an individual associates with adopting habits such as healthy eating, maintaining the correct weight, and practising physical exercise can reveal the inconsistencies, obstacles, or psychological conflicts that hinder change and target-achievement. Fuzzy cognitive maps (FCM) can be of great utility in this task as they allow us to explore the structure of the personal meaning system of an individual as well as determine any obstacles and simulate hypothetical scenarios that project its future evolution. This can help to identify the foci of cognitive conflicts that hinder the adoption of healthy habits and establish more effective personalised intervention programmes that make it easier to maintain these habits.

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References
1.
Mantzios M, Wilson J . Mindfulness, Eating Behaviours, and Obesity: A Review and Reflection on Current Findings. Curr Obes Rep. 2015; 4(1):141-6. DOI: 10.1007/s13679-014-0131-x. View

2.
Salas-Salvado J, Rubio M, Barbany M, Moreno B . [SEEDO 2007 Consensus for the evaluation of overweight and obesity and the establishment of therapeutic intervention criteria]. Med Clin (Barc). 2007; 128(5):184-96. DOI: 10.1016/s0025-7753(07)72531-9. View

3.
Noureddine S, Stein K . Healthy-eater self-schema and dietary intake. West J Nurs Res. 2008; 31(2):201-18. DOI: 10.1177/0193945908327157. View

4.
Lemmens V, Oenema A, Klepp K, Henriksen H, Brug J . A systematic review of the evidence regarding efficacy of obesity prevention interventions among adults. Obes Rev. 2008; 9(5):446-55. DOI: 10.1111/j.1467-789X.2008.00468.x. View

5.
Malek L, Umberger W, Makrides M, ShaoJia Z . Predicting healthy eating intention and adherence to dietary recommendations during pregnancy in Australia using the Theory of Planned Behaviour. Appetite. 2017; 116:431-441. DOI: 10.1016/j.appet.2017.05.028. View