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Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques.
Ronteltap, Amber; Bukman, Andrea J; Nagelhout, Gera E; Hermans, Roel C J; Hosper, Karen; Haveman-Nies, Annemien; Lupker, Remko; Bolman, Catherine A W.
Afiliação
  • Ronteltap A; Knowledge Centre Healthy and Sustainable Living, University of Applied Sciences Utrecht, P.O. box 12011, 3501 AA, Utrecht, The Netherlands. amber.ronteltap@hu.nl.
  • Bukman AJ; Knowledge Centre Healthy and Sustainable Living, University of Applied Sciences Utrecht, P.O. box 12011, 3501 AA, Utrecht, The Netherlands.
  • Nagelhout GE; IVO Research Institute, The Hague, The Netherlands.
  • Hermans RCJ; Department of Health Promotion, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
  • Hosper K; Department of Health Promotion, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
  • Haveman-Nies A; Netherlands Nutrition Centre, The Hague, The Netherlands.
  • Lupker R; Pharos, Utrecht, The Netherlands.
  • Bolman CAW; Consumption and Healthy Lifestyles Group, Wageningen University & Research, Wageningen, The Netherlands.
BMC Nutr ; 8(1): 145, 2022 Dec 08.
Article em En | MEDLINE | ID: mdl-36482430
ABSTRACT
Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article