Evidence map›Paper›PMID 31739848›Full record

Trial reportJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2019

Technology Assisted Behavior Intervention to Extend Sleep Among Adults With Short Sleep Duration and Prehypertension/Stage 1 Hypertension: A Randomized Pilot Feasibility Study.

Kelly Glazer Baron, Jennifer Duffecy, DeJuran Richardson, Elizabeth Avery, Steven Rothschild, Johan Lane

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 7 pooled it
5.2field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 7 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  3. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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  17. Sleep Disturbances in Type 1 Diabetes and Mitigating Cardiovascular Risk.The Journal of clinical endocrinology and metabolism · 2024
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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

6 authors at 2 institutions in 1 country.

Kelly Glazer BaronDepartment of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois.
Jennifer DuffecyDepartment of Psychiatry, University of Illinois at Chicago, Chicago, Illinois.
DeJuran RichardsonDepartment of Mathematics and Computer Science, Lake Forest University, Lake Forest, Illinois.
Elizabeth AveryDepartment of Preventive Medicine, Rush University Medical Center, Chicago, Illinois.
Steven RothschildDepartment of Preventive Medicine, Rush University Medical Center, Chicago, Illinois.
Johan LaneDepartment of Internal Medicine, Rush University Medical Center, Chicago, Illinois.
Rush University Medical Center · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesShort sleep duration contributes to hypertension, yet few behavioral sleep extension interventions have been developed. The goal of our study was to evaluate the feasibility and preliminary efficacy of a technology assisted sleep extension intervention among individuals with prehypertension/stage 1 hypertension on sleep, blood pressure and patient reported outcomes.

methodsAdults aged 30-65 with 24h ambulatory blood pressure (ABP) > 120/80 mmHg and average weekday sleep duration < 7 h/night were randomized 2:1 to a 6-week technology assisted intervention versus a self-management control group. The intervention included a wearable sleep tracker, smartphone application, weekly didactic lessons and brief telephone coaching. The control group was instructed to maintain their current sleep schedule. Data were analyzed using descriptive statistics and nonparametric statistics to evaluate differences in between groups as well as prepost changes within each group. We also conducted bivariate correlations to evaluate predictors of change in sleep and ABP.

resultsA total of 16 adults were randomized into the study (11 intervention, 5 control group, 8 women, mean age 45.8 years, standard deviation 9.8 years.) Results at 6-week follow-up demonstrated greater improvement in the intervention group for total sleep time (P = .027), reductions in 24-hour systolic blood pressure (P = .013) and diastolic blood pressure (P = .026), improvements in sleep disturbance (P = .003) and sleep-related impairment (P = .008). Participants in the intervention group completed 90% of the coaching sessions and rated the enjoyment of the intervention as 4 or 5 out of 5.

conclusionsTechnology assisted sleep extension intervention is feasible and well liked in this population. Results demonstrate the potential for this intervention to improve sleep duration, quality and 24-hour ABP.

Indexed as

AdultAgedBehavior TherapyBlood PressureFeasibility StudiesFemaleHumansHypertensionMaleMiddle AgedMobile ApplicationsPilot ProjectsPrehypertensionSleep HygieneSleep Wake DisordersWearable Electronic Devicesambulatory blood pressurehypertensionsleep durationsleep extension

Identifiers

PMID31739848
PMCPMC6853389
OpenAlexW2985611372

What OpenQuestion holds

Textmetadata
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.