Evidence map›Paper›PMID 40577079›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Associations of accelerometer-estimated sleep with cardiorespiratory fitness and energetic efficiency among middle-aged and older adults.

Daniel D Callow, Yiwei Yue, Idiatou Diallo, Jill A Rabinowitz, Yang An, Alfonso J Alfini, Mark N Wu, Sarah K Wanigatunga, Amal A Wanigatunga, Luigi Ferrucci and 3 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. 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
–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

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.

  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

13 authors.

Daniel D CallowDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.ORCID 0000-0003-0843-6602
Yiwei YueDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.
Idiatou DialloDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.
Jill A RabinowitzDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, United States.
Yang AnNational Institute on Aging Intramural Research Program, Baltimore, Maryland, United States.
Alfonso J AlfiniNational Center on Sleep Disorders Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland, United States.
Mark N WuDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States.
Sarah K WanigatungaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.ORCID 0000-0002-5763-5184
Luigi FerrucciNational Institute on Aging Intramural Research Program, Baltimore, Maryland, United States.ORCID 0000-0002-6273-1613
Eleanor M SimonsickNational Institute on Aging Intramural Research Program, Baltimore, Maryland, United States.ORCID 0000-0002-5460-3494
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States.ORCID 0000-0001-9244-9267
Adam P SpiraDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.ORCID 0000-0003-1507-0995

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jinchong Xu · 2020 to 2026
$29.3M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
Poor Sleep Altered Circadian Rhythms and Alzheimers DiseaseR01AG050507 · NIA · JOHNS HOPKINS UNIVERSITY · PI SPIRA, ADAM PETER · 2015 to 2019
$2.5M
The START trial: a proof-of-concept sedentary reduction program for prefrail older adultsK01AG076967 · NIA · JOHNS HOPKINS UNIVERSITY · PI Amal Asiri Wanigatunga · 2022 to 2026
$651k
NIA NIH HHS K01 AG076967NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG050507NIA NIH HHS U01 AG057545NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

backgroundSleep disturbances and cardiovascular disease are common and often co-occur in middle-aged and older adults, but less is known about associations of sleep with cardiorespiratory fitness (CRF) and energy efficiency in these populations. We examined cross-sectional associations of accelerometer-derived sleep metrics with CRF, walking energetics, and resting metabolic rate (RMR), and explored whether associations were moderated by age, sex, and race.

methodsWe studied 263 participants from the Baltimore Longitudinal Study of Aging (mean age 72.7 ± 10.1 years, 53.6% women). Predictors included total sleep time (TST), sleep efficiency (SE), sleep onset latency, wake after sleep onset, and average wake bout length (WBL). Outcomes included measures of CRF (ie, maximal oxygen consumption [VO2peak]) and energetic efficiency (ie, energetic cost of walking and RMR).

resultsAfter adjusting for demographics, comorbidities, and self-reported physical activity, longer WBL was associated with lower VO2peak (B= -1.01 ml/kg/min, P < .01) and higher RMR (B = 43.25 kcal, P < .05), lower SE was associated with lower VO2peak (B = 1.07 ml/kg/min, P < .01), and shorter TST was associated with lower VO2peak (B = 0.33 ml/kg/min, P < .05). Higher SE was associated with lower RMR among middle-aged adults but not older adults (interaction P-value < 0.05).

conclusionShorter TST, longer WBL, and lower SE are associated with poorer CRF and energetic efficiency among middle-aged and older adults. Longitudinal studies are needed to understand the temporality of these associations and potential targets for interventions in these populations.

Indexed as

AccelerometryCardiorespiratory FitnessEnergy MetabolismSleepAgedAged, 80 and overBaltimoreBasal MetabolismCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedOxygen ConsumptionWalkingagingmetabolismphysical activityresting metabolic ratesleep health

Identifiers

PMID40577079
PMCPMC12758963

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.