Work Description

Title: ABC Baby - Data for Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months Open Access Deposited

h
Attribute Value
Methodology
  • Mothers completed questionnaires, infants were weighed and length measured, and infants participated in a protocol designed to measure sucking characteristics. For details, please see files: 1. Manuals of Operations 2. Submitted Manuscript
Description
  • Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infant sucking behavior was quantified using the NFANT device during a typical feeding. The predictive value of the NFANT-generated sucking metrics for infant weight gain was evaluated.
Creator
Depositor
  • jlumeng@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
ORSP grant number
  • 15-PAF00113
Keyword
Citations to related material
  • Feldman, Keith, Katharine Asta, Ashley N. Gearhardt, Julie M. Sturza, Danielle Appugliese, Alison L. Miller, Katherine Rosenblum, Kai Ling Kong, Amanda K. Crandall, and Julie C. Lumeng. "Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months." Appetite (2023): 106525.
Resource type
Curation notes
  • On July 7, 2023, Title updated from "ABC Baby analytic dataset for Feldman et al manuscript, published in Appetite 2023."
Last modified
  • 07/07/2023
Published
  • 06/19/2023
Language
DOI
  • https://doi.org/10.7302/fyy9-sq57
License
To Cite this Work:
Lumeng, J. C. (2023). ABC Baby - Data for Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/fyy9-sq57

Relationships

In Collection:

Files (Count: 2; Size: 9.03 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
README.txt 2023-06-19 2023-06-19 1.72 KB Open Access
Zipped_File_for_Deep_Blue_Data.zip 2023-06-19 2023-06-19 9.03 MB Open Access

Date: June 19, 2023

Dataset Title: Feldman-Sucking ABC Baby

Dataset Creators: Julie C Lumeng

Dataste Contact: Julie Lumeng jlumeng@umich.edu

Funding: R01HD084163

Key points: We identify sucking profiles among healthy, full-term infants and assess their associations with weight and eating behaviors.

Research Overview: Infant eating behavior was phenotyped in detail using parent-report and a device to measure infant sucking. Infant anthropometry was obtained.

Methodology: That data were generated from using the NFANT device to measure infant sucking, maternal report of infant behaviors and demograhpics by questionniare, and anthropometry performed by trained research assistants.

Instrument and/or Software specifications: NA

Files Contained here within Zipped Folder:

-Data: Final data set used in published manuscript
-Data Dictionaries: Data dictionary for each measure used, including questionnaire items and variable definitions
-Informed Consent Document: Informed Consent Document signed by participants
-Manuals of Operations: Manuals describing how all data were collected in detail
-Submitted Manuscript: Final submitted manuscript

Related publication: Feldman, K., Asta, K., Gearhardt, A. N., Sturza, J. M., Appugliese, D., Miller, A. L., ... & Lumeng, J. C. (2023). Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months. Appetite, 185, 106525.

Use and Access: This data set is made available under a Creative Commons Public Domain license (CC0 1.0).

To Cite Data: To Cite Data:
Lumeng, J.C. (2023). ABC Baby Sucking Data [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/fyy9-sq57

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