Evidence map›Paper›PMID 27098449›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2016

The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults.

Deborah A Kerr, Amelia J Harray, Christina M Pollard, Satvinder S Dhaliwal, Edward J Delp, Peter A Howat, Mark R Pickering, Ziad Ahmad, Xingqiong Meng, Iain S Pratt and 3 more

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, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 16 pooled it
42.9field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 16 syntheses or guidelines pooled it, 156 citations in OpenAlex.

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  3. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023
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  14. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature.International journal of environmental research and public health · 2018
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28 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 2 countries.

Deborah A KerrSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia. D.Kerr@curtin.edu.au.
Amelia J HarraySchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Christina M PollardSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Satvinder S DhaliwalSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Edward J DelpVideo and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Peter A HowatSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Mark R PickeringSchool of Engineering and Information Technology, The University of New South Wales at the Australian Defence Force Academy, Canberra, Australia.
Ziad AhmadVideo and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Xingqiong MengSchool of Medicine, Flinders University, Bedford Park, Australia.
Iain S PrattCancer Council Western Australia, Subiaco, WA, Australia.
Janine L WrightSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Katherine R KerrSchool of Public Health, Curtin University, GPO Box U1987, Bentley, Perth, WA, 6845, Australia.
Carol J BousheyEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Curtin University · AUPurdue University West Lafayette · USCancer Council Western Australia · AUFlinders University · AUGovernment of Western Australia Department of Health · AUUNSW Sydney · AU

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
NCI NIH HHS 1U01CA130784-01NCI NIH HHS U01 CA130784NIDDK NIH HHS 1R01-DK073711-01A1NIDDK NIH HHS R01 DK073711
6 · The paper itself

Abstract

backgroundEarly adulthood represents the transition to independent living which is a period when changes in diet and body weight are likely to occur. This presents an ideal time for health interventions to reduce the effect of health problems and risk factors for chronic disease in later life. As young adults are high users of mobile devices, interventions that use this technology may improve engagement. The Connecting Health and Technology study aimed to evaluate the effectiveness of tailored dietary feedback and weekly text messaging to improve dietary intake of fruit, vegetables and junk food over 6 months among a population-based sample of men and women (aged 18-30 years).

methodsA three-arm, parallel, randomized control trial was conducted. After baseline assessments, participants were randomized to one of three groups: A) dietary feedback and weekly text messages, B) dietary feedback only or C) control group. Dietary intake was assessed using a mobile food record App (mFR) where participants captured images of foods and beverages consumed over 4-days at baseline and post-intervention. The primary outcomes were changes in serves of fruits, vegetables, energy-dense nutrient-poor (EDNP) foods and sugar-sweetened beverages (SSB). The intervention effects were assessed using linear mixed effect models for change in food group serves.

resultsYoung adults (n = 247) were randomized to group A (n = 82), group B (n = 83), or group C (n = 82). Overall, no changes in food group serves for either intervention groups were observed. An unanticipated outcome was a mean weight reduction of 1.7 kg (P = .02) among the dietary feedback only. Men who received dietary feedback only, significantly reduced their serves of EDNP foods by a mean of 1.4 serves/day (P = .02). Women who received dietary feedback only significantly reduced their intake of SSB (P = .04) by an average of 0.2 serves/day compared with controls.

conclusionsTailored dietary feedback only resulted in a decrease in EDNP foods in men and SSB in women, together with a reduction in body weight. Using a mobile food record for dietary assessment and tailored feedback has great potential for future health promotion interventions targeting diet and weight in young adults.

trial registrationAustralian Clinical Trials Registry Registration number: ACTRN12612000250831 .

Indexed as

DietFeeding BehaviorHealth BehaviorMobile ApplicationsTelemedicineText MessagingAdultAustraliaFeedbackFemaleHealth PromotionHumansMaleYoung AdultDietary assessmentEnergy-dense nutrient poor foodsFruitInterventionsJunk foodMobile food recordNovel technologySugar-sweetened beveragesTailoringText messagingVegetablesYoung adult

Identifiers

PMID27098449
PMCPMC4839101
OpenAlexW2340409116

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.