Evidence map›Paper›PMID 36981679›Full record

ArticleInternational journal of environmental research and public health2023

BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers.

Amy R Mobley, Danielle E Jake-Schoffman, David A Fedele, Elder Garcia Varela, Jamie Zeldman

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
1.1field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 1 institution in 1 country.

Amy R MobleyDepartment of Health Education and Behavior, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-7477-942X
Danielle E Jake-SchoffmanDepartment of Health Education and Behavior, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-6381-7323
David A FedeleDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0003-0896-910X
Elder Garcia VarelaDepartment of Health Education and Behavior, University of Florida, Gainesville, FL 32611, USA.
Jamie ZeldmanDepartment of Health Education and Behavior, University of Florida, Gainesville, FL 32611, USA.
University of Florida Health · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

Responsive feeding is associated with a reduced risk of childhood obesity. The objective of this qualitative study was to determine parental preferences for mobile health (mHealth) app content and features designed to improve responsive feeding practices. Parents of 0-2-year-old children were interviewed individually. Interview questions were informed by the Technology Acceptance Model, and parents provided feedback on sample app content and features. Interviews were audio-recorded, transcribed verbatim, and coded by two researchers using thematic analysis; responses were compared by parent gender and income. Parents (

Indexed as

Feeding BehaviorMobile ApplicationsPediatric ObesityChild, PreschoolFemaleFood PreferencesHumansInfantParentsQualitative Researchchild feedinginfantslow-income populationmHealthparentspediatric obesitytechnology

Identifiers

PMID36981679
PMCPMC10049234
OpenAlexW4323665056

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
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.