Evidence map›Paper›PMID 40001093›Full record

ArticleBMC medicine2025

Minimum and optimal combined variations in sleep, physical activity, and nutrition in relation to all-cause mortality risk.

Emmanuel Stamatakis, Nicholas A Koemel, Raaj K Biswas, Matthew N Ahmadi, Margaret Allman-Farinelli, Stewart G Trost, Elif Inan-Eroglu, Borja Del Pozo Cruz, Yu Sun Bin, Svetlana Postnova and 7 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

17 authors.

Emmanuel Stamatakis *Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. emmnuel.stamatakis@sydney.edu.au.
Nicholas A Koemel *Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Raaj K BiswasMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Matthew N AhmadiMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Margaret Allman-FarinelliCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Stewart G TrostSchool of Human Movement and Nutrition Sciences, The University of Queensland, and Children's Health Queensland, Brisbane, QLD, Australia.
Elif Inan-ErogluCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Borja Del Pozo CruzFaculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain.
Yu Sun BinCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Svetlana PostnovaCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Mitch J DuncanSchool of Medicine and Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, Australia.
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Helen BrownSchool of Exercise and Nutrition Sciences, Faculty of Health, Deakin University, Geelong, VIC, Australia.
Carol MaherAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Luigi FontanaCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Stephen SimpsonCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Peter A CistulliCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.

Funding

Australian Government APP1193862Australian Research Council DE230101174Junta de Andalucía EMERGIA 2020/00158National Health and Medical Research Council APP1177797National Health and Medical Research Council APP1194510National Heart Foundation of Australia APP107158
6 · The paper itself

Abstract

backgroundSleep, physical activity, and nutrition (SPAN) are critical behaviours for health, although they have traditionally been studied separately. We examined the combined associations of SPAN and the minimum between-individual variations associated with meaningfully lower all-cause mortality risk.

methodsThis prospective cohort analysis included 59,078 participants from the UK Biobank (median age: 64.0 years; 45.4% male) who wore trackers for 7 days and self-reported dietary data. Wearable-measured sleep (hours/day) and moderate to vigorous physical activity (MVPA; mins/day) were calculated using a machine learning based schema. A 10-item diet quality score (DQS) assessed the intake of vegetables, fruits, fish, dairy, whole grains, vegetable oils, refined grains, processed and unprocessed meats, and sugary beverages (0-100 for all components with higher values indicating higher quality). Cox proportional hazards models were used to estimate hazard ratios (HR) for all-cause mortality risk across 27 separate joint tertile combinations of SPAN behaviours with the lowest tertile for all three as the referent group. For more granular clinical interpretations, we examined combined incremental dose-response changes of the SPAN behaviours using the 5th percentile of each behaviour as the referent point.

resultsOver the 8.1-year median follow-up time, 2,458 mortality events occurred. Compared to the referent group of combined SPAN exposure (lowest tertiles for all three), the optimal SPAN combination involving moderate sleep duration (7.2-8.0 h/day), high MVPA (42-103 min/day), and a DQS between 57.5 and 72.5 was associated with an HR of 0.36 (95% CI: 0.26-0.50). Relative to the 5th percentile of sleep (5.5 h/day), physical activity (7.3 min/day), and nutrition (36.9 DQS), a theoretical minimum combined increase of 15 min/day of sleep, 1.6 min/day MVPA, and 5 DQS points (corresponding to e.g., extra 1/2 serving of vegetables per day or 1 less serving of processed meat per week) was associated with 10% lower all-cause mortality risk (0.90; 0.88-0.93). Combined increases of 75 min/day of sleep, 12.5 min/day MVPA, and 25 DQS points were associated with 50% lower all-cause mortality risk (0.50; 0.44-0.58).

conclusionsThis study highlights the potential health value of subtle combined SPAN modification in relation to mortality risk and expands opportunities for more holistic recommendations.

Indexed as

DietExerciseMortalityNutritional StatusSleepAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUnited KingdomCohort studiesDietExerciseMortalityNutritionPhysical activitySleep

Identifiers

PMID40001093
PMCPMC11863424

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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.