Evidence map›Paper›PMID 35346229›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2022

Evaluation of a Type 2 diabetes risk reduction online program for women with recent gestational diabetes: a randomised trial.

Rachael Taylor, Megan E Rollo, Jennifer N Baldwin, Melinda Hutchesson, Elroy J Aguiar, Katie Wynne, Ashley Young, Robin Callister, Clare E Collins

Open access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. 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

9 authors at 5 institutions in 2 countries.

Rachael TaylorSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales (NSW), Australia.
Megan E RolloSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales (NSW), Australia.
Jennifer N BaldwinSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales (NSW), Australia.
Melinda HutchessonSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales (NSW), Australia.
Elroy J AguiarDepartment of Kinesiology, College of Education, The University of Alabama, Tuscaloosa, USA.
Katie WynneHunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia.
Ashley YoungClinical Services, Nursing and Midwifery, Hunter New England Local Health District, Wallsend, NSW, Australia.
Robin CallisterPriority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia.
Clare E CollinsSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales (NSW), Australia. clare.collins@newcastle.edu.au.
University of Newcastle Australia · AUHunter Medical Research Institute · AUHunter New England Local Health District · AUJohn Hunter Hospital · AUUniversity of Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the preliminary efficacy, feasibility and acceptability of the 3-month Body Balance Beyond (BBB) online program among Australian women with overweight/obesity and recent gestational diabetes mellitus.

methodsWomen were  randomised into either: 1) High Personalisation (HP) (access to 'BBB' website, video coaching sessions, text message support); 2) Medium Personalisation (MP) (website and text message support); or 3) Low Personalisation (LP) (website only). Generalised linear mixed models were used to evaluate preliminary efficacy, weight, diet quality, physical activity levels, self-efficacy and quality of life (QoL) at baseline and 3-months. Feasibility was assessed by recruitment and retention metrics and acceptability determined via online process evaluation survey at 3-months.

resultsEighty three women were randomised, with 76 completing the study. Self-efficacy scores showed significant improvements in confidence to resist eating in a variety of situations from baseline to 3-months in HP compared to MP and LP groups (P=.03). The difference in mean QoL scores favoured the HP compared to MP and LP groups (P=.03). Half of the women (HP n=17[81%], MP n=12[75%], LP n=9[56%]) lost weight at 3-months. No significant group-by-time effect were reported for other outcomes. Two-thirds of women in the HP group were satisfied with the program overall and 86% would recommend it to others, compared with 25% and 44% in the MP group, and 14% and 36% in the LP group, respectively.

conclusionsVideo coaching sessions were associated with improvements in QoL scores and self-efficacy, however further refinement of the BBB website and text messages support could improve program acceptability.

trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12619000162112 , registered 5 February 2019.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2AustraliaFemaleHumansPregnancyQuality of LifeRisk Reduction BehaviorDietExerciseGestational diabetesPreventionType 2 diabetesWeight loss

Identifiers

PMID35346229
PMCPMC8962548
OpenAlexW4220663724

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.