Evidence map›Paper›PMID 32641284›Full record

ArticleJMIR mHealth and uHealth2020

Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study.

Charlene L Shoneye, Barbara Mullan, Andrea Begley, Christina M Pollard, Jonine Jancey, Deborah A Kerr

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Charlene L ShoneyeSchool of Public Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-6961-7290
Barbara MullanHealth Psychology & Behavioural Medicine Research Group, School of Psychology, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-0177-8899
Andrea BegleySchool of Public Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-5448-8932
Christina M PollardSchool of Public Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0003-4261-4601
Jonine JanceyCollaboration for Evidence Research & Impact in Public Health, School of Public Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-7894-2896
Deborah A Kerr *School of Public Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-1094-1299

Funding

Improving Dietary Assessment Methods Using the Cell Phone and Digital ImagingU01CA130784 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI BOUSHEY, CAROL J · 2007 to 2010
$2.1M
Improving Diet Assessment in AdolescentsR01DK073711 · NIDDK · PURDUE UNIVERSITY · PI BOUSHEY, CAROL J · 2007 to 2009
$904k
Improving Diet Assessment in AdolescentsR56DK073711 · NIDDK · PURDUE UNIVERSITY · PI EICHER-MILLER, HEATHER · 2010 to 2010
$562k
NCI NIH HHS U01 CA130784NIDDK NIH HHS R01 DK073711NIDDK NIH HHS R56 DK073711
6 · The paper itself

Abstract

backgroundThe Tailored Diet and Activity (ToDAy) study aims to build on the campaign by adding a digital intervention with the potential to provide wide-reaching, cost-effective weight management support.

objectiveThe ToDAy study aims to build a tailored intervention using mobile technology to improve diet and physical activity behaviours in adults with overweight and obesity. The main objectives were to identify behavior change techniques for diet and physical activity (PA) change for weight loss and explore preferences for digital intervention features that would be effective in changing diet and PA behaviors.

methodsThis qualitative study uses the principles of a person-based approach to intervention development; the behavioral intervention technology framework; and the capability, opportunity, motivation, and behavior (COM-B) framework. Focus groups and telephone interviews were conducted with 56 adults in Western Australia. Open-ended questions and example intervention features were used to explore the usability and acceptability of the self-monitoring tools, knowledge about effective weight-loss strategies, and acceptability of tailored feedback. Findings from the focus groups and interviews were analyzed using thematic analysis.

resultsQualitative findings revealed an awareness of key public health messages but a lack of confidence in how to perform these behaviors to help manage their weight. A total of 4 major themes were identified and mapped to the domains of the COM-B framework: (1) misinformation, (2) environmental support, (3) social norms, and (4) confidence.

conclusionsThis study explores users' capability, opportunity, and motivation to perform the target behaviors for weight loss. The findings suggested that a digital weight management intervention using a mobile food record and activity trackers to inform tailored feedback may be acceptable and feasible. Participants expressed a preference for simple expert advice, digital self-monitoring tools, and visual feedback. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/12782.

Indexed as

DietExerciseAdultAustraliaBody WeightFemaleHumansMaleMiddle AgedObesityclinical trialdietdigital behavioral interventionsfocus grouphealthhealth behaviormobile food recordmobile phoneobesityphysical activityqualitative researchsedentary behaviorwearable activity monitor

Identifiers

PMID32641284
PMCPMC7511863

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.