Dataset
INcreasing Steps in PREgnancy (INSPiRE) Dataset
University of Iowa
2020
DOI: 10.25820/data.006170
Abstract
This dataset represents a study designed to test the feasibility, acceptability, and preliminary efficacy of a single-arm remotely-delivered health coaching intervention (12 intervention sessions) to promote physical activity and reduce sedentary behavior in pregnancy. The data included were obtained from four distinct participant assessments that ocurred from early pregnancy through the postpartum period: (1) baseline assessment - prior to health coaching session 1, (2) follow-up assessment - health coaching session 9, (3) process evaluation survey - post health coaching session 12, (4) postpartum medical chart abstraction. There were three primary data sources in this project: (1) REDCap survey information, (2) activPAL data, and (3) Fitbit data. Data from REDCap surveys were collected at all four assessments. ActivPAL data was obtained at two time points: (1) baseline and (2) follow-up assessment. Fitbit data was obtained daily from health coaching session 1 through health coaching session 12. Data for this project was analyzed using SAS and STATA software.
Details
- Title: Subtitle
- INcreasing Steps in PREgnancy (INSPiRE) Dataset
- Creators
- Kara Whitaker - University of Iowa, Health and Human PhysiologyMelissa A Jones - University of Iowa, Health and Human PhysiologyJaclyn DziewiorMegan M Anderson - University of IowaChelsie Anderson - University of IowaBethany Barone Gibbs - University of PittsburghLucas J Carr - University of Iowa, Health and Human Physiology
- Contributors
- Brian Westra (Data Curator) - University of Iowa, Humanities and Social Sciences/Scholarly Impact
- Resource Type
- Dataset
- DOI
- 10.25820/data.006170
- Publisher
- University of Iowa
- Grant note
- This work was supported by the Iowa Fraternal Order of Eagles
- Language
- English
- Date collected
- 07/01/2020–08/31/2021
- Date created
- 2020
- Description methods
- Survey data was exported from REDCap as a raw CSV file and transformed from long to wide format. Identifying information was removed from the CSV file. ActivPAL event data were exported to a CSV file using PAL Technologies software (version 8; PAL Technologies, Glasglow, Scotland). Nonwear and sleep times were removed using participant diaries for data processing. Fitbit step count data were exported from an online platform (Healthie) into a CSV file. Daily data were exported. Fitbit daily data was averaged across health coaching sessions. SAS was used for data cleaning and analysis for REDCap and activPAL data. STATA was used for analysis of Fitbit data.
- Academic Unit
- Epidemiology; Humanities and Social Sciences/Scholarly Impact; Fraternal Order of Eagles Diabetes Research Center; Health and Human Physiology
- Record Identifier
- 9984236057502771
Metrics
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