Literature DB >> 25043221

Changing eating behaviours to treat childhood obesity in the community using Mandolean: the Community Mandolean randomised controlled trial (ComMando)--a pilot study.

Julian Hamilton-Shield1, Joanna Goodred2, Lesley Powell2, Joanna Thorn3, Jon Banks2, Sandra Hollinghurst2, Alan Montgomery4, Katrina Turner2, Debbie Sharp2.   

Abstract

BACKGROUND: Around one in five children in England is obese when they leave primary school. Thus far, it has not been demonstrated that primary care interventions to manage childhood obesity can achieve significant weight reduction. Training obese children to eat more slowly as an adjunct to other healthy lifestyle behaviour change has been shown to increase weight reduction in a hospital setting.
OBJECTIVES: This pilot study aimed to test recruitment strategies, treatment adherence, clinic attendance and participants' experiences of using a device [Mandolean® (previously Mandometer®, Mikrodidakt AB, Lund, Sweden)] to slow down speed of eating as an adjunct to dietary and activity advice in treating obesity in primary school-aged children.
DESIGN: A two-arm, parallel, randomised controlled trial with a qualitative study embedded within the pilot. Randomisation occurred after informed consent and baseline measures were collected. Participants were randomised by the Bristol Randomised Trials Collaboration randomisation service with allocation stratified by hub and minimised by age of the child, gender, and baseline body mass index (BMI) standard deviation score (BMI z-value) of the child, and by BMI of the study parent (obese/not obese).
SETTING: General practices across Bristol, North Somerset and South Gloucestershire primary care trusts. PARTICIPANTS: Children (BMI ≥ 95th percentile) aged 5-11 years and their families. INTERVENTION: Standard care comprised dietary and activity advice by trained practice nurses. Adjunctive Mandolean training (the intervention) educated participants to eat meals more slowly and to rate levels of fullness (satiety). Mandolean is a small computer device attached to a weighing scale that provides visual and oral feedback during meals while generating a visual representation of levels of satiety during the meal. Participants were encouraged to eat their main meal each day from the Mandolean. One parent was also given a Mandolean to use when eating with the child. OUTCOME MEASURES: Outcomes for the pilot were recruitment of 36 families to the trial in the 9-month pilot phase, that meals would be eaten at least five times a week off a Mandolean by 90% of patients randomised to the intervention arm, that 80% of patients in both arms would attend the weight management clinic appointment 3 months post randomisation and that > 60% of children using Mandolean would demonstrate a reduction in speed of eating from baseline within 3 months of randomisation.
RESULTS: None of the criteria for progression to the main trial were reached. Despite numerous pathways being available for referral, only 21 (13 to standard care, eight to intervention arm; 58%) of the target 36 families were recruited in the pilot phase. Less than 20% of those randomised to Mandolean used the device at least five times a week. The > 60% target for slowing down of eating speed by 3 months was unmet. Attendance at the weight management clinic in general practice hubs for both arms of the study at 3 months was 44% against a target of 80%.
CONCLUSIONS: This pilot trial failed to meet its objectives in terms of recruitment, treatment adherence, demonstration of a reduction in speed of eating in sufficient numbers of children, and attendance at follow-up appointments. Despite a high prevalence of childhood obesity in the geographical area and practices signing up for the trial, this study, like many others, demonstrates a failure of families to engage with and respond to primary care weight management interventions. We need to understand why the target population seems inured to the health message that childhood obesity is a significant health-care issue and identify the barriers to seeking help and then acting on positive health behaviour retraining. Only when we have fully understood the general public's perceptions of childhood obesity and have identified ways of engaging target populations can we hope to develop interventions that can work in a primary or community-based setting. TRIAL REGISTRATION: Current Controlled Trials ISRCTN90561114. FUNDING: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 18, No. 47. See the NIHR Journals Library website for further project information.

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Year:  2014        PMID: 25043221      PMCID: PMC4781034          DOI: 10.3310/hta18470

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  20 in total

1.  Reduction of Portion Size and Eating Rate Is Associated with BMI-SDS Reduction in Overweight and Obese Children and Adolescents: Results on Eating and Nutrition Behaviour from the Observational KgAS Study.

Authors:  Gabriel Torbahn; Ines Gellhaus; Benjamin Koch; Rüdiger von Kries; Viola Obermeier; Reinhard W Holl; Katharina Fink; Andreas van Egmond-Fröhlich
Journal:  Obes Facts       Date:  2017-10-31       Impact factor: 3.942

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

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh Anand Sadananthan; S Sendhil Velan; Navin Michael; Mya Thway Tint; Marielle Valerie Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary Foong Fong Chong; Ciarán G Forde
Journal:  Physiol Behav       Date:  2017-02-14

3.  Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4·5-year-old children: results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) cohort.

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh A Sadananthan; S Sendhil Velan; Navin Michael; Mya-Thway Tint; Marielle V Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary F F Chong; Ciarán G Forde
Journal:  Br J Nutr       Date:  2017-05-02       Impact factor: 3.718

4.  Oral processing behaviours that promote children's energy intake are associated with parent-reported appetitive traits: Results from the GUSTO cohort.

Authors:  Anna Fogel; Lisa R Fries; Keri McCrickerd; Ai Ting Goh; Phaik Ling Quah; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary Foong Fong Chong; Ciarán G Forde
Journal:  Appetite       Date:  2018-03-15       Impact factor: 3.868

5.  Defining the patterns of PAP adherence in pediatric obstructive sleep apnea: a clustering analysis using real-world data.

Authors:  Miriam R Weiss; Michelle L Allen; Jeremy S Landeo-Gutierrez; Jenny P Lew; Julia K Aziz; Sylvan S Mintz; Claire M Lawlor; Benjamin J Becerra; Diego A Preciado; Gustavo Nino
Journal:  J Clin Sleep Med       Date:  2021-05-01       Impact factor: 4.062

Review 6.  Facilitators and barriers of children's participation in nutrition, physical activity, and obesity interventions: A systematic review.

Authors:  Priscilla Clayton; Jeneene Connelly; Malik Ellington; Vicky Rojas; Yaisli Lorenzo; María Angélica Trak-Fellermeier; Cristina Palacios
Journal:  Obes Rev       Date:  2021-09-01       Impact factor: 10.867

Review 7.  Informing efficient randomised controlled trials: exploration of challenges in developing progression criteria for internal pilot studies.

Authors:  Kerry N L Avery; Paula R Williamson; Carrol Gamble; Elaine O'Connell Francischetto; Chris Metcalfe; Peter Davidson; Hywel Williams; Jane M Blazeby
Journal:  BMJ Open       Date:  2017-02-17       Impact factor: 2.692

8.  Parental beliefs about portion size, not children's own beliefs, predict child BMI.

Authors:  C Potter; D Ferriday; R L Griggs; J P Hamilton-Shield; P J Rogers; J M Brunstrom
Journal:  Pediatr Obes       Date:  2017-04-04       Impact factor: 4.000

Review 9.  Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years.

Authors:  Emma Mead; Tamara Brown; Karen Rees; Liane B Azevedo; Victoria Whittaker; Dan Jones; Joan Olajide; Giulia M Mainardi; Eva Corpeleijn; Claire O'Malley; Elizabeth Beardsmore; Lena Al-Khudairy; Louise Baur; Maria-Inti Metzendorf; Alessandro Demaio; Louisa J Ells
Journal:  Cochrane Database Syst Rev       Date:  2017-06-22

10.  Researchers' perspectives on pediatric obesity research participant recruitment.

Authors:  Yasha Parikh; Maryann Mason; Karen Williams
Journal:  Clin Transl Med       Date:  2016-06-23
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