Dietary assessment methods used in adult digital weight loss interventions: A systematic literature review.
Charlene L ShoneyeDominika KwasnickaBarbara MullanChristina M PollardCarol J BousheyDeborah A KerrPublished in: Journal of human nutrition and dietetics : the official journal of the British Dietetic Association (2022)
The effectiveness of the tailored feedback in digital interventions may be limited by the quality of the dietary assessment (DA) upon which it is based. The present study systematically reviewed studies reporting the protocols for DA methods used to inform tailored feedback in digital weight loss interventions. The search included: PubMed-National Library of Medicine database, MEDLINE, Cochrane Library of Systematic Reviews, Web of Science and ProQuest. Search terms were related to five groups: dietary assessment, weight loss, clinical trials, technology and tailoring. Thirteen articles were eligible for inclusion. The most common DA method was a digital dietary record linked to a food database that provided instant feedback on daily energy intake. Only four studies provided feedback on overall diet quality and intake of fruit, vegetables and fibre. Dietary feedback was provided using text messages, email, mobile applications and online intervention websites. Most digital dietary feedback focused on reducing energy intake without providing feedback to enhance diet quality. This review highlighted the heterogeneity in DA methods used in tailored weight loss interventions, which may account for the range of outcome results reported. Future interventions should publish the protocols describing how dietary data was collected and used to inform dietary feedback.
Keyphrases
- weight loss
- physical activity
- bariatric surgery
- clinical trial
- roux en y gastric bypass
- randomized controlled trial
- gastric bypass
- systematic review
- weight gain
- smoking cessation
- healthcare
- public health
- risk assessment
- single cell
- insulin resistance
- body mass index
- emergency department
- adipose tissue
- adverse drug
- young adults
- open label
- case control
- current status
- glycemic control
- deep learning