Evidence map›Paper›PMID 25857612›Full record

Trial reportPublic health nutrition2015

Acceptability and feasibility of smartphone-assisted 24 h recalls in the Chinese population.

Jiajie Zang, Jun Song, Zhengyuan Wang, Chunxia Yao, Jianhong Ma, Cuihua Huang, Zhenni Zhu, Lindsey P Smith, Shufa Du, Jenna Hua and 3 more

Open access · bronzeAbstract readComparative StudyRandomized Controlled TrialValidation Study
In one paragraph

Trial report in Public health nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Validation of the INDDEX24 mobile appThe British journal of nutrition · 2022
    Article
  6. Article
  7. 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

13 authors at 5 institutions in 3 countries.

Jiajie Zang1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Jun Song1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Zhengyuan Wang1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Chunxia Yao2Songjiang Center for Disease Control and Prevention,Shanghai,People's Republic of China.
Jianhong Ma3Putuo Center for Disease Control and Prevention,Shanghai,People's Republic of China.
Cuihua Huang1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Zhenni Zhu1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Lindsey P Smith4Carolina Population Center,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
Shufa Du4Carolina Population Center,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
Jenna Hua5School of Public Health, University of California,Berkeley,CA,USA.
Edmund Seto5School of Public Health, University of California,Berkeley,CA,USA.
Barry M Popkin4Carolina Population Center,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
Shurong Zou1Department of Nutrition Hygiene,Shanghai Municipal Center for Disease Control and Prevention,1380 West Zhongshan Road,Changning District,Shanghai 200336,People's Republic of China.
Centers for Disease Control and Prevention · USShanghai Municipal Center For Disease Control Prevention · CNUniversity of North Carolina at Chapel Hill · USCenter for Disease Control · TWUniversity of California, Berkeley · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS 5 D43 TW009077FIC NIH HHS D43 TW007709FIC NIH HHS D43 TW009077NICHD NIH HHS 5 R24 HD050924NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R01-HD30880NICHD NIH HHS R01-HD38700NICHD NIH HHS R24 HD050924NIDDK NIH HHS DK056350NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectiveTo examine the acceptability and feasibility of using smartphone technology to assess beverage intake and evaluate whether the feasibility of smartphone use is greater among key sub-populations.

designAn acceptability and feasibility study of recording the video dietary record, the acceptability of the ecological momentary assessment (EMA), wearing smartphones and whether the videos helped participants recall intake after a cross-over validation study.

settingRural and urban area in Shanghai, China. SUBJECTS: Healthy adults (n 110) aged 20-40 years old.

resultsMost participants reported that the phone was acceptable in most aspects, including that videos were easy to use (70%), helped with recalls (77%), EMA reminders helped them record intake (75%) and apps were easy to understand (85%). However, 49% of the participants reported that they had trouble remembering to take videos of the beverages before consumption or 46% felt embarrassed taking videos in front of others. Moreover, 72% reported that the EMA reminders affected their consumption. When assessing overall acceptability of using smartphones, 72% of the participants were favourable responders. There were no statistically significant differences in overall acceptability for overweight v. normal-weight participants or for rural v. urban residents. However, we did find that the overall acceptability was higher for males (81%) than females (61%, P=0·017).

conclusionsOur study did not find smartphone technology helped with dietary assessments in a Chinese population. However, simpler approaches, such as using photographs instead of videos, may be more feasible for enhancing 24 h dietary recalls.

Indexed as

Diet, ReducingHealth Knowledge, Attitudes, PracticeNutrition PolicyPatient ComplianceSmartphoneAdultBeveragesBody Mass IndexChinaCross-Over StudiesDiet RecordsFeasibility StudiesFemaleHumansMaleMental RecallDietary recallFeasibilitySmartphone

Identifiers

PMID25857612
PMCPMC4600407
OpenAlexW1909390098

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.