Evidence map›Paper›PMID 42090837›Full record

ArticlePsychoneuroendocrinology2026

Associations between sedentary behavior and allostatic load: The 1970 British Cohort Study.

Aiden J Chauntry, Jake C Diana, Qinghua Li, Teresa Seeman, Jimikaye B Courtney, William P Tyne, Anna C Whittaker, Anne I Turner, Megan Teychenne, Patricia Pagan Lassalle and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychoneuroendocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Aiden J ChauntryNIRSense Inc., Morrisville, NC, USA; Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: aidenjc@unc.edu.
Jake C DianaDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Qinghua LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Teresa SeemanDivision of Geriatrics, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jimikaye B CourtneyDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
William P TyneSchool of Life Sciences, Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, UK.
Anna C WhittakerFaculty of Health Sciences and Sport, University of Stirling, Stirling, Scotland, UK.
Anne I TurnerInstitute for Physical Activity and Nutrition (IPAN), School of Exercise & Nutrition Sciences, Deakin University, Geelong, Australia.
Megan TeychenneInstitute for Physical Activity and Nutrition (IPAN), School of Exercise & Nutrition Sciences, Deakin University, Geelong, Australia.
Patricia Pagan LassalleDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gabriel ZieffSchool of Kinesiology, University of British Columbia, Vancouver, BC, Canada; Department of Psychology, University of British Columbia, Vancouver, BC, Canada.
Bethany Barone GibbsEpidemiology and Biostatistics, West Virginia University, Morgantown, WV, USA.
Keith M DiazCenter for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY, USA.
Eli PutermanDepartment of Psychology, University of British Columbia, Vancouver, BC, Canada.
Feng-Chang LinDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Robert J KowalskyDepartment of Kinesiology, Appalachian State University, Boone, NC, USA.
Lee StonerScienceye, NC, USA.
Erik D HansonDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Michelle L MeyerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Sitting Interruption and Whole-body Cardiovascular Health: Linking Physiological Responses to Risk BehaviorsR01HL157187 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HANSON, ERIK D · 2022 to 2025
$2.5M
Cardiometabolic Disease Prevention in College-based Young Adults: Mapping a Contextual Sedentary Behavior InterventionR01HL162805 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HANSON, ERIK D · 2022 to 2025
$2.2M
NHLBI NIH HHS R01 HL157187NHLBI NIH HHS R01 HL162805NHLBI NIH HHS T32 HL007055NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

backgroundChronic/repeated exposure to psychological stressors can induce high allostatic load (AL), or multisystem physiological dysregulation, which increases cardiometabolic disease (CMD) risk. While moderate-to-vigorous physical activity (MVPA) is inversely related to AL, associations with sedentary behavior (SB) remain unclear. This study tested associations between multiple activPAL-derived SB metrics-total SB, SB breaks, and SB bout duration-and AL among middle-aged adults.

methodsParticipants (n = 8581; 46.8 ± 0.7 years; 52% female) represented the 1970 British Cohort Study (2016-2018 sweep), where SB was assessed via activPAL3 accelerometry to derive total SB time (h/day), SB break rate (# sit-to-stand transitions/hr of SB time), and mean SB bout duration (min/bout). Seven AL biomarkers were assessed: inflammatory (C-reactive protein), cardiovascular (systolic blood pressure [BP], diastolic BP, heart rate), and metabolic (HDL, total cholesterol, triglycerides). High AL was defined as ≥ 2 biomarkers in the highest-risk quartile. Cross-sectional logistic regression models tested associations between SB metrics and AL, adjusting for MVPA and other covariates.

resultsThere were 5% higher odds of high AL per additional hour/day of total SB (OR=1.05; 95% CI: 1.01-1.09). Each additional break/SB hour was associated with 3% lower odds of high AL (OR=0.97; 95% CI: 0.94-0.99). Mean SB bout duration was not significantly associated with AL in fully adjusted models.

conclusionsHigher total SB and fewer breaks per sedentary hour were associated with greater AL. If longitudinal and experimental studies confirm causality and clinical relevance, reducing total SB time and increasing SB interruptions could be feasible strategies to reduce AL and mitigate stress-induced CMD risk.

Indexed as

AllostasisSedentary BehaviorAccelerometryAdultBiomarkersBlood PressureCardiovascular DiseasesCohort StudiesC-Reactive ProteinCross-Sectional StudiesExerciseFemaleHeart RateHumansMaleMiddle AgedBiomarkersC-Reactive ProteinBiomarkersChronic diseasePhysiological stressSedentary breaksSitting

Identifiers

PMID42090837
PMCPMC13220162

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.