Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-26T07:03:22.993Z Has data issue: false hasContentIssue false

Brief ‘Appetitive Trait Tailored Intervention’: Development in a Sample of Adults with Overweight and Obesity

Published online by Cambridge University Press:  03 November 2021

Claudia Hunot-Alexander*
Affiliation:
Instituto de Nutrición Humana, Departamento de Reproducción Humana, Crecimiento y Desarrollo Infantil, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Edificio anexo al Nuevo Hospital Civil de Guadalajara ‘Dr. Juan I. Menchaca’, 44340 Guadalajara, Jalisco, Mexico
Helen Croker
Affiliation:
Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK
Alison Fildes
Affiliation:
School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds LS2 9JT, UK
Fiona Johnson
Affiliation:
Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK
Rebecca J. Beeken
Affiliation:
Yorkshire Cancer Research University Academic Fellow, Leeds Institute of Health Sciences, Level 10, Worsley Building, Clarendon Way, Leeds LS2 9NL, UK
*
*Corresponding author: Claudia Hunot-Alexander, Email: [email protected]
Get access

Abstract

Appetitive traits are associated with weight and could be managed using behavioural strategies. Personalised approaches to weight loss could use a person's appetitive trait profile to tailor weight management advice. This study aimed to explore participants’ experiences of a brief Appetitive Trait Tailored Intervention (ATTI) based on participants’ Adult Eating Behaviour Questionnaire (AEBQ) scores. The ATTI was developed using strategies from modified Cognitive Behavioural Therapy and behaviour change techniques. Acceptability testing of the ATTI was carried out with participants (body mass index ≥25) who completed the AEBQ online and were sent their appetitive trait profile and corresponding weight loss tips via e-mail. Participants were asked to follow the tips for 8 weeks and following the tips, perceived helpfulness, barriers, and initial and final body weight. Qualitative interviews explored their experiences. Thirty-seven participants provided feedback and reported the majority of the tips to be helpful. Thirty-two participants (92.5% female) provided their final weight; 10 reported weight loss ≥5% of initial weight. Qualitative interviews (n = 21) revealed that tailoring was seen as novel and participants felt that the ATTI increased their self-awareness and encouraged behavioural changes. The low intensity of the ATTI limited engagement for some. The ATTI is an acceptable, novel approach to weight management.

Type
Standard Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Australian Association for Cognitive and Behaviour Therapy

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Boutelle, KN, Manzano, MA and Eichen, DM (2020). Appetitive traits as targets for weight loss: The role of food cue responsiveness and satiety responsiveness. Physiology and Behavior, 224, 113018. doi:10.1016/j.physbeh.2020.113018.CrossRefGoogle ScholarPubMed
Braun, V and Clarke, V (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77101. doi:10.1191/1478088706qp063oa.CrossRefGoogle Scholar
Carnell, S and Wardle, J (2008). Appetite and adiposity in children: Evidence for a behavioral susceptibility theory of obesity. The American Journal of Clinical Nutrition, 88, 2229. https://doi.org/doi.org/10.1093/ajcn/88.1.22.CrossRefGoogle ScholarPubMed
Craig, P, Dieppe, P, Macintyre, S, Michie, S, Nazareth, I and Petticrew, M (2008). Developing and evaluating complex interventions: The new Medical Research Council guidance. British Medical Journal, 337, a1655. doi:10.1136/bmj.a1655.CrossRefGoogle ScholarPubMed
Edwards-Jones, Andrew (2014) Qualitative data analysis with NVIVO. Journal of Education for Teaching, 40(2), 193195. doi:10.1080/02607476.2013.866724.CrossRefGoogle Scholar
Eyles, HC and Mhurchu, CN (2009). Does tailoring make a difference? A systematic review of the long-term effectiveness of tailored nutrition education for adults. Nutrition Reviews, 67, 464480. doi:10.1111/j.1753-4887.2009.00219.x.CrossRefGoogle ScholarPubMed
Field, A (2013). Discovering statistics using SPSS (4th ed). London: SAGE Publications Ltd.Google Scholar
Flores Mateo, G, Granado-Font, E, Ferré-Grau, C and Montaña-Carreras, X (2015). Mobile phone apps to promote weight loss and increase physical activity: A systematic review and meta-analysis. Journal of Medical Internet Research, 17. doi:10.2196/jmir.4836.CrossRefGoogle ScholarPubMed
Gardner, B, Lally, P and Wardle, J (2012). Making health habitual: The psychology of ‘habit-formation’ and general practice. British Journal of General Practice, 62, 664666. doi:10.3399/bjgp12X659466.CrossRefGoogle ScholarPubMed
Hartmann-Boyce, J, Jebb, SA, Fletcher, BR and Aveyard, P (2015). Self-help for weight loss in overweight and obese adults: Systematic review and meta-analysis. American Journal of Public Health, 105, e43e57. doi:10.2105/AJPH.2014.302389.CrossRefGoogle ScholarPubMed
Hartmann-Boyce, J, Aveyard, P, Koshiaris, C and Jebb, SA (2016). Development of tools to study personal weight control strategies: OxFAB taxonomy. Obesity, 24, 314320. doi:10.1002/oby.21341.CrossRefGoogle ScholarPubMed
Hunot-Alexander, C, Arellano-Gómez, L, Smith, A, Kaufer-Horwitz, M, Vasquez-Garibay, EM, Romero-Velarde, E, …, Beeken, RJ (2021). Examining the validity and consistency of the Adult Eating Behaviour Questionnaire – Español (AEBQ-Esp) and its relationship to BMI in a Mexican population. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity. doi:10.1007/s40519-021-01201-9.Google Scholar
Hunot, C, Fildes, A, Croker, H, Johnson, F and Beeken, RJ. (2016). Development of a brief Appetitive Trait Tailored Intervention (ATTI) in a sample of overweight and obese adults. Retrieved from: https://www.researchgate.net/publication/309720102_Development_of_a_brief_Appetitive_Trait_Tailored_Intervention_ATTI_in_a_sample_of_overweight_and_obese_adults (accessed 30 April 2021).Google Scholar
Hunot, C, Fildes, A, Croker, H, Llewellyn, CH, Wardle, J and Beeken, RJ (2016). Appetitive traits and relationships with BMI in adults: Development of the Adult Eating Behaviour Questionnaire. Appetite, 105, 356363. doi:10.1016/j.appet.2016.05.024.CrossRefGoogle ScholarPubMed
Jacob, R, Tremblay, A, Fildes, A, Llewellyn, C, Beeken, RJ, Panahi, S, Provencher, Véronique and Drapeau, Vicky (2021) Validation of the adult eating behaviour questionnaire adapted for the French-speaking Canadian population. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 109, 150. doi:http://dx.doi.org/10.1007/s40519-021-01229-x.Google Scholar
Jebb, SA, Ahern, AL, Olson, AD, Aston, LM, Holzapfel, C, Stoll, J, …, Caterson, ID (2011). Primary care referral to a commercial provider for weight loss treatment versus standard care: A randomised controlled trial. Lancet, 378, 14851492. doi:10.1016/S0140-6736(11)61344-5.CrossRefGoogle ScholarPubMed
Kininmonth, A, Fildes, A, Smith, A, Carnell, S and Llewellyn, C (2021). The association between childhood adiposity and appetite assessed using the Child Eating Behavior Questionnaire and Baby Eating Behavior Questionnaire: A systematic review and meta-analysis. Obesity Reviews, 22, e13169. doi:10.1111/obr.13169.CrossRefGoogle ScholarPubMed
Kreuter, MW, Strecher, VJ and Glassman, B (1999). One size does not fit all: The case for tailoring print materials. Annals of Behavioral Medicine, 21, 276283. doi:10.1007/BF02895958.CrossRefGoogle Scholar
Llewellyn, CH and Fildes, A (2017). Behavioural susceptibility theory: Professor Jane Wardle and the role of appetite in genetic risk of obesity. Current Obesity Reports, 6, 3845. doi:10.1007/s13679-017-0247-x.CrossRefGoogle Scholar
Llewellyn, C and Wardle, J (2015). Behavioral susceptibility to obesity: Gene–environment interplay in the development of weight. Physiology & Behavior, 152, 494501. doi:10.1016/j.physbeh.2015.07.006.CrossRefGoogle Scholar
Mallan, KM, Fildes, A, de la Piedad Garcia, X, Drzezdzon, J, Sampson, M and Llewellyn, C (2017). Appetitive traits associated with higher and lower body mass index: Evaluating the validity of the adult eating behaviour questionnaire in an Australian sample. International Journal of Behavioral Nutrition and Physical Activity, 14, 130. doi:10.1186/s12966-017-0587-7.CrossRefGoogle Scholar
Meisel, SF, Walker, C and Wardle, J (2012). Psychological responses to genetic testing for weight gain: A vignette study. Obesity, 20, 540546. doi:10.1038/oby.2011.324.CrossRefGoogle ScholarPubMed
Meisel, SF, Beeken, RJ, van Jaarsveld, CHM and Wardle, J (2015). Genetic susceptibility testing and readiness to control weight: Results from a randomized controlled trial. Obesity, 23, 305312. doi:10.1002/oby.20958.CrossRefGoogle ScholarPubMed
Metzgar, CJ, Preston, AG, Miller, DL and Nickols-Richardson, SM (2014). Facilitators and barriers to weight loss and weight loss maintenance: A qualitative exploration. Journal of Human Nutrition and Dietetics, 28, 593603. doi:10.1111/jhn.12273.CrossRefGoogle ScholarPubMed
Michie, S, Atkins, L and West, R (2014). The behaviour change wheel. A guide to designing interventions. Sutton, Surrey, UK: Silverback Publishing.Google Scholar
Reilly, JJ, El-Hamdouchi, A, Diouf, A, Monyeki, A and Somda, SA (2018). Determining the worldwide prevalence of obesity. The Lancet, 391, 17731774. doi:10.1016/S0140-6736(18)30794-3.CrossRefGoogle ScholarPubMed
Rigby, RR, Mitchell, LJ, Hamilton, K and Williams, LT (2020) The use of behavior change theories in dietetics practice in primary health care: A systematic review of randomized controlled trials. Journal of the Academy of Nutrition and Dietetics, 120(7), 11721197. doi:http://dx.doi.org/10.1016/j.jand.2020.03.019.CrossRefGoogle ScholarPubMed
Ryan, K, Dockray, S and Linehan, C (2019). A systematic review of tailored eHealth interventions for weight loss. Digital Health, 5, 123. doi:10.1177/2055207619826685.CrossRefGoogle ScholarPubMed
Stead, M, Craigie, AM, Macleod, M, McKell, J, Caswell, S, Steele, RJC and Anderson, AS (2015). Why are some people more successful at lifestyle change than others? Factors associated with successful weight loss in the BeWEL randomised controlled trial of adults at risk of colorectal cancer. International Journal of Behavioral Nutrition and Physical Activity, 12, 87. doi:10.1186/s12966-015-0240-2.CrossRefGoogle ScholarPubMed
Stubbs, J, Whybrow, S, Teixeira, PJ, Blundell, JE, Lawton, C, Westenhoefer, J, …, Raats, M (2011). Problems in identifying predictors and correlates of weight loss and maintenance: Implications for weight control therapies based on behaviour change. Obesity Reviews, 12, 688708. doi:10.1111/j.1467-789X.2011.00883.x.Google ScholarPubMed
Tong, A, Sainsbury, P and Craig, J (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19, 349357. doi:10.1093/intqhc/mzm042.CrossRefGoogle ScholarPubMed
Wardle, J, Liao, L-M, Rapoport, L, Hillsdon, M, Croker, H and Edwards, C (2001). Shape-up. A lifestyle programme to manage your weight. London, UK: Weight Concern.Google Scholar
Wardle, J, Liao, L-M, Rapoport, L, Hillsdon, M, Croker, H and Edwards, C (2013). Chapter. In Wardle, J, Chadwick, P, Chipperfield, A, Croker, H, Gokool, N, Liao, L-M and Blanckenberg, C (Eds.), Shape-Up. A self-help guide to managing your weight (reprint). London, UK: Weight Concern.Google Scholar
Weight Concern (2016). The Big Panel. Join the debate. Retrieved from: http://weightconcern.org.uk/?q=unsubscribe (accessed 13 August 2019).Google Scholar
Wight, D, Wimbush, E, Jepson, R and Doi, L (2015). Six steps in quality intervention development (6SQuID). Journal of Epidemiology and Community Health, 70, 520525. doi:10.1136/jech-2015-205952.CrossRefGoogle Scholar
Supplementary material: File

Hunot-Alexander et al. supplementary material

Hunot-Alexander et al. supplementary material

Download Hunot-Alexander et al. supplementary material(File)
File 5 MB