Treatment of childhood obesity by retraining eating behaviour: randomised controlled trial

Ford, Anna; Bergh, Cecilia; Södersten, P.; Sabin, Matthew A.; Hollinghurst, Sandra; Hunt, Linda; Shield, Julian P H

doi:10.1136/bmj.b5388

Cited by 185 publications

(242 citation statements)

References 29 publications

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“…[56][57][58][59][60][61][62][63][64] Of these, one 56 tested inter-rater reliability using a tape-recorded method, with correlations ranging between 0.68 and 0.96. None of the papers assessed TRT reliability.…”

Section: Resultsmentioning

confidence: 99%

Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity

Bryant

Ashton

Jebb

et al. 2014

Health Technology Assessment

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Section: Resultsmentioning

confidence: 99%

Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity

Bryant

Ashton

Jebb

et al. 2014

Health Technology Assessment

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“…Manipulation of bite size may be achieved through changing the shape of foods [57], using utensils that support smaller bites [51] and by changing the textures of foods to reduce eating rate and energy intake [11,58,59]. Changes to eating rate can be produced by prompting the eater via external monitors of eating rate; this has been shown to have some success in children and adults [60,61], and has been shown to be a successful weight reduction strategy among children with overweight [62] and adolescents [63]. Similarly it is possible to change eating rate indirectly through the use of food textures that are equally liked, but require longer chewing [11,13,18,43,58].…”

Section: Discussionmentioning

confidence: 99%

A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: Results from the GUSTO cohort

Fogel

Goh

Fries

et al. 2017

Physiology & Behavior

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Recent findings confirm that faster eating rates support higher energy intakes within a meal and are associated with increased body weight and adiposity in children. The current study sought to * Author to whom correspondence should be addressed: Ciaran Gerard Forde; Centre for Translational Medicine, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, Singapore 117599; Tel: +65 64070104; ciaran_forde@sics.astar.edu.sg. Clinical Trial Registry Number: NCT01174875; https://clinicaltrials.gov/ Authors' Contributions: This study was conceived and designed by CGF, AF, MFFC and LRF. Clinical analyses were performed by SS, SV, AF, ATG, and CGF and data analysis and interpretation were carried out by AF and CGF. AF and CGF prepared the draft manuscript and all authors reviewed and approved the final draft. This study was given ethical approval by ethical review boards of the KK Women's and Children's Hospital and National University Hospital in Singapore.Author disclosures: Keith Godfrey, Lee Yung-Seng and Yap Seng Chong have received reimbursement for speaking at conferences sponsored by companies selling nutritional products. They are part of an academic consortium that has received research funding from Abbott Nutrition, Nestec and Danone. Lisa Fries is an employee of Nestec SA, working at the Nestlé Research Center. The other authors have no financial or personal conflict of interests. Europe PMC Funders GroupAuthor Manuscript Physiol Behav. Author manuscript; available in PMC 2018 January 01. Europe PMC Funders Author ManuscriptsEurope PMC Funders Author Manuscripts identify the eating behaviours that underpin faster eating rates and energy intake in children, and to investigate their variations by weight status and other individual differences. Children (N=386) from the Growing Up in Singapore towards Healthy Outcomes (GUSTO) cohort took part in a video-recorded ad libitum lunch at 4.5 years of age to measure acute energy intake. Videos were coded for three eating behaviours (bites, chews and swallows) to derive a measure of eating rate (g/min) and measures of eating microstructure: eating rate (g/min), total oral exposure (minutes), average bite size (g/bite), chews per gram, oral exposure per bite (seconds), total bites and proportion of active to total mealtime. Children's BMIs were calculated and a subset of children underwent MRI scanning to establish abdominal adiposity. Children were grouped into faster and slower eaters, and into healthy and overweight groups to compare their eating behaviours. Results demonstrate that faster eating rates were correlated with larger average bite size (r=0.55, p<0.001), fewer chews per gram (r=-0.71, p<0.001) and shorter oral exposure time per bite (r=-0.25, p<0.001), and with higher energy intakes (r=0.61, p<0.001). Children with overweight and higher adiposity had faster eating rates (p<0.01) and higher energy intakes (p<0.01), driven by larger bite sizes (p<0.05). Eating behaviours varied by sex, ethnicity and early feeding regimes, partial...

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“…For example, we may be able to behaviourally retrain children ' s appetitive traits (Johnson, 2000;Ford et al, 2009), and neuroimaging could provide a nuanced and unbiased way of evaluating resulting alterations in the responsiveness of reward networks. The personal desire to change behaviour might be awakened by individualized genetic feedback (Meisel et al, 2011), and personalized neurological feedback could have the same effect.…”

Section: Discussionmentioning

confidence: 99%

Fat brains, greedy genes, and parent power: A biobehavioural risk model of child and adult obesity

Carnell

Kim

Pryor

2012

International Review of Psychiatry

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We live in a world replete with opportunities to overeat highly calorifi c, palatable foods -yet not everyone becomes obese. Why? We propose that individuals show differences in appetitive traits (e.g. food cue responsiveness, satiety sensitivity) that manifest early in life and predict their eating behaviours and weight trajectories. What determines these traits? Parental feeding restriction is associated with higher child adiposity, pressure to eat with lower adiposity, and both strategies with less healthy eating behaviours, while authoritative feeding styles coincide with more positive outcomes. But, on the whole, twin and family studies argue that nature has a greater infl uence than nurture on adiposity and eating behaviour, and behavioural investigations of genetic variants that are robustly associated with obesity (e.g. FTO) confi rm that genes infl uence appetite. Meanwhile, a growing body of neuroimaging studies in adults, children and high risk populations suggests that structural and functional variation in brain networks associated with reward, emotion and control might also predict appetite and obesity, and show genetic infl uence. Together these different strands of evidence support a biobehavioural risk model of obesity development. Parental feeding recommendations should therefore acknowledge the powerful -but modifi able -contribution of genetic and neurological infl uences to children ' s eating behaviour.

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Treatment of childhood obesity by retraining eating behaviour: randomised controlled trial

Cited by 185 publications

References 29 publications

Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity

Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity

A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: Results from the GUSTO cohort

Fat brains, greedy genes, and parent power: A biobehavioural risk model of child and adult obesity

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