Evidence map›Paper›PMID 35534841›Full record

ArticleBMC nutrition2022

Key process features of personalized diet counselling in metabolic syndrome: secondary analysis of feasibility study in primary care.

Paula Brauer, Dawna Royall, Airu Li, Ariellia Rodrigues, Jennifer Green, Sharon Macklin, Alison Craig, Miranda Chan, Jennifer Pasanen, Lucie Brunelle and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Paula BrauerDepartment of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada. pbrauer@uoguelph.ca.
Dawna RoyallDepartment of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Airu LiDepartment of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Ariellia RodriguesDepartment of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Jennifer GreenDepartment of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
Sharon MacklinEdmonton Oliver Primary Care Network, Edmonton, AB, Canada.
Alison CraigEdmonton Oliver Primary Care Network, Edmonton, AB, Canada.
Miranda ChanEdmonton Oliver Primary Care Network, Edmonton, AB, Canada.
Jennifer PasanenEdmonton Oliver Primary Care Network, Edmonton, AB, Canada.
Lucie BrunelleDepartment of Kinesiology, Laval University, Québec, QC, Canada.
Rupinder DhaliwalMetabolic Syndrome Canada, Kingston, ON, Canada.
Doug KleinDepartment of Family Medicine, University of Alberta, Edmonton, AB, Canada.
Angelo TremblayDepartment of Kinesiology, Laval University, Québec, QC, Canada.
Caroline RheaumeDepartment of Family Medicine and Emergency Medicine, Laval University, Québec, QC, Canada.
David M MutchDepartment of Human Health & Nutritional Sciences, University of Guelph, Guelph, ON, Canada.
Khursheed JeejeebhoyDepartment of Medicine, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized diet counselling, as part of lifestyle change programs for cardiometabolic risk conditions (combinations of prediabetes or type 2 diabetes, hypertension, dyslipidemia and high waist circumference) has been shown to reduce progression to type 2 diabetes overall. To identify key process of care measures that could be linked to changes in diet, we undertook a secondary analysis of a Canadian pre-post study of lifestyle treatment of metabolic syndrome (MetS). Diet counselling process measures were documented and association with diet quality changes after 3 months were assessed. Results of the primary study showed 19% reversal of MetS after 1 year.

methodsRegistered dietitians (RDs) reported on contact time, specific food behaviour goals (FBG), behaviour change techniques (BCT; adapted from the Michie CALO-RE taxonomy) and teaching resources at each contact. Diet quality was measured by 2005 Canadian Healthy Eating Index (HEI-C) and assessed for possible associations with individual BCT and FBG.

resultsFood behaviour goals associated with improved HEI-C at 3 months were: poultry more than red meat, increased plant protein, increased fish, increased olive oil, increased fruits and vegetables, eating breakfast, increased milk and alternatives, healthier fats, healthier snacks and increased nuts, with an adverse association noted for more use (> 2 times/ 3 months) of the balanced meal concept (F test; p < 0.001). Of 16 BCT, goal setting accounted for 15% of all BCT recorded, yet more goal setting (> 3 times/3 months) was associated with poorer HEI-C at 3 months (F test; p = 0.007). Only self-monitoring, feedback on performance and focus on past success were associated with improved HEI-C.

conclusionsThese results identify key aspects of process that impact diet quality. Documentation of both FBG and BCT is highly relevant in diet counselling and a summary diet quality score is a promising target for assessing short-term counselling success.

Indexed as

Behaviour change techniquesCardiometabolic conditionsHealth behaviour changeImplementationMetabolic syndromeNutrition care processPersonalized diet counsellingProcess

Identifiers

PMID35534841
PMCPMC9081667

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.