Evidence map›Paper›PMID 32350729›Full record

ArticleMaternal and child health journal2020

The Use of Wearable Technology to Objectively Measure Sleep Quality and Physical Activity Among Pregnant Women in Urban Lima, Peru: A Pilot Feasibility Study.

Jerome T Galea, Karen Ramos, Julia Coit, Lauren E Friedman, Carmen Contreras, Milagros Dueñas, Noris Hernandez, Caroline Muster, Leonid Lecca, Bizu Gelaye

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Article in Maternal and child health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

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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

10 authors.

Jerome T GaleaSchool of Social Work, University of South Florida, Tampa, USA. jeromegalea@usf.edu.ORCID http://orcid.org/0000-0001-8732-6959
Karen RamosSocios En Salud, Lima, Peru.
Julia CoitDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Lauren E FriedmanDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Carmen ContrerasSocios En Salud, Lima, Peru.
Milagros DueñasSocios En Salud, Lima, Peru.
Noris HernandezSocios En Salud, Lima, Peru.
Caroline MusterSchool of Social Work, University of South Florida, Tampa, USA.
Leonid LeccaSocios En Salud, Lima, Peru.ORCID http://orcid.org/0000-0003-1363-3985
Bizu GelayeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.ORCID http://orcid.org/0000-0001-7934-548X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSleep quality and physical activity can affect the mental and physical health of pregnant women and their babies in utero.

methodsWe investigated the feasibility of objectively assessing sleep quality and physical activity among resource-constrained, pregnant women in urban Lima, Peru. Twenty pregnant women were asked to complete written sleep logs and wear ActiSleep, a wristwatch-like device that records sleep quality (consecutive minutes of uninterrupted sleep) and physical activity (steps), for seven consecutive days. Sociodemographic data and pregnancy characteristics were also collected.

resultsOf twenty women, 13 (65%) had sufficient data collected for analysis. The mean age of study participants was 26.3 years (SD = 3.9), with a mean sleep duration of 6.9 h (SD = 1.4). The median time for sleep onset was 21:15. The mean time for sleep latency was 17.3 min; and wake after sleep onset was 116 min. The mean number of awakenings was 20.4 (SD = 6.7); and sleep efficiency was 77.9%. For physical activity, participants averaged of 6,029 steps per day (SD = 3,087). DISCUSSION: Objective assessment of sleep quality and physical activity among pregnant women in a resource-constrained setting was promising, despite modest data collection completeness. Wearable technology could be used in health interventions to improve sleep quality and physical activity among this population.

Indexed as

ExerciseSleepActigraphyAdultFeasibility StudiesFemaleHumansPeruPilot ProjectsPregnancyPregnant PeopleUrban PopulationWearable Electronic DevicesWeights and MeasuresActigraphyPeruPhysical activityPregnantSleep quality

Identifiers

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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.