Evidence map›Paper›PMID 36456450›Full record

ArticleSleep health2023

Longitudinal associations between sleep and BMI in a low-income, predominantly Black American sample.

Stephanie Brooks Holliday, Lu Dong, Ann Haas, Madhumita Bonnie Ghosh-Dastidar, Tamara Dubowitz, Daniel J Buysse, Lauren Hale, Wendy M Troxel

Open access · greenAbstract read
In one paragraph

Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Stephanie Brooks HollidayRAND Corporation, Santa Monica, California, USA. Electronic address: holliday@rand.org.
Lu DongRAND Corporation, Santa Monica, California, USA.
Ann HaasRAND Corporation, Pittsburgh, Pennsylvania, USA.
Madhumita Bonnie Ghosh-DastidarRAND Corporation, Santa Monica, California, USA.
Tamara DubowitzRAND Corporation, Pittsburgh, Pennsylvania, USA.
Daniel J BuysseStony Brook University, Stony Brook, New York, USA.
Lauren HaleUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Wendy M TroxelRAND Corporation, Pittsburgh, Pennsylvania, USA.
RAND Corporation · USStony Brook University · USUniversity of Pittsburgh · US

Funding

Urban Revitalization and Long-Term Effects on Diet, Economic, and Health OutcomesR01CA149105 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2010 to 2021
$7.9M
Neighborhood Change: Impact on Sleep and Obesity-Related Health DisparitiesR01HL122460 · NHLBI · RAND CORPORATION · PI DUBOWITZ, TAMARA, TROXEL, WENDY M · 2015 to 2018
$3.3M
Impact of Greenspace Improvement on Physical Activity in a Low Income CommunityR01CA164137 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2012 to 2016
$3.1M
Natural Experiment of Neighborhood Revitalization and Cardiometabolic HealthR01HL131531 · NHLBI · RAND CORPORATION · PI GARY-WEBB, TIFFANY L, TROXEL, WENDY M · 2016 to 2019
$3.0M
NCI NIH HHS R01 CA149105NCI NIH HHS R01 CA164137NHLBI NIH HHS R01 HL122460NHLBI NIH HHS R01 HL131531
6 · The paper itself

Abstract

objectiveBlack individuals and those experiencing socioeconomic disadvantage are at increased risk for sleep problems and obesity. This study adds to the limited extant literature examining longitudinal associations between objectively measured sleep and changes in body mass index (BMI) in Black Americans.

designWe focused on individuals with at least 1 observation of sleep and BMI at 1 of 3 study time points (2013, 2016, and 2018). We modeled longitudinal trends in BMI as a function of time, average of each sleep variable across assessments, and within-person deviations in each sleep variable over time.

settingData were collected via interviewer-administered at-home surveys and actigraphy in Pittsburgh, PA.

participantsOur sample comprised 1115 low-income, primarily Black adults, including 862 women and 253 men. MEASUREMENTS: Sleep measures included actigraphy-measured total sleep time, sleep efficiency, and wakefulness after sleep onset, as well as self-reported sleep quality. We also included objectively measured BMI.

resultsIn models adjusted for age, gender, and other sociodemographic covariates (eg, income, marital status), there were no significant longitudinal associations between total sleep time, sleep efficiency, wakefulness after sleep onset, or subjective sleep quality and changes in BMI.

conclusionsThis study provides further evidence that, among a sample of low-income Black adults, sleep problems are not longitudinally predictive of BMI. Although ample cross-sectional evidence demonstrates that sleep problems and obesity commonly co-occur, longitudinal evidence is mixed. Better understanding the overlap of sleep and obesity over time may contribute to prevention and intervention efforts.

Indexed as

Black or African AmericanSleep Wake DisordersAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleObesitySleepBMILongitudinalObesitySleep

Identifiers

PMID36456450
PMCPMC9992091
OpenAlexW4310178195

What OpenQuestion holds

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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.