Evidence mapPaperPMID 42560389Full record

ArticleActa diabetologica2026

Wearable sensor-derived continuous physical activity dimensions and all-cause mortality in adults with diabetes and hypertension: insights from two population-based accelerometry cohorts.

Tianchen Niu, Lingjie Fan, Rongna Lian, Fengyi Wang, Junhan Zhao, Tao Lin

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

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6 authors.

Tianchen Niu *College of Computer Science, Sichuan University, Chengdu, China.
Lingjie Fan *College of Computer Science, Sichuan University, Chengdu, China.
Rongna LianCenter of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Fengyi WangDepartment of Rehabilitation Medicine, West China Hospital, Chengdu, China.
Junhan ZhaoDepartment of Pediatrics, Section of Biomedical Informatics, University of Chicago, Chicago, IL, USA. junhanzv@uchicago.edu.
Tao LinCollege of Computer Science, Sichuan University, Chengdu, China. lintao@scu.edu.cn.ORCID http://orcid.org/0009-0008-6383-5175

Funding

Key Technologies Research and Development Program of Anhui Province 2023YFC3603800Key Technologies Research and Development Program of Anhui Province 2023YFC3603801National Science and Technology Innovation 2030, Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0524300National Science and Technology Innovation 2030, Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0524302Science and Technology Department of Sichuan Province 2026NSFSC1566
6 · The paper itself

Abstract

AIMS/

introductionAdults with coexistent diabetes mellitus and hypertension (DM-HTN) have a substantially elevated risk of all-cause mortality. Physical activity (PA) is a key modifiable factor, yet conventional self-reported or categorical measures may fail to capture clinically relevant variation. We investigated associations between sensor-derived continuous PA dimensions and all-cause mortality in DM-HTN. MATERIALS AND

methodsWe analysed 4,294 DM-HTN and 1,482 diabetes-alone adults from the UK Biobank (median follow-up 85.2 months; 731 deaths) and 530 DM-HTN and 235 diabetes-alone participants from NHANES 2011-2014 (mean follow-up 63.5 months; 123 deaths), all with device-measured wrist accelerometry. Continuous sensor-derived metrics included Daily MET/MIMS (volume) and Peak-30 MET/MIMS (peak intensity). Associations with all-cause mortality were examined using multivariable Cox regression, restricted cubic spline modelling, and GBDT models with SHAP attribution.

resultsBoth continuous PA dimensions were independently associated with all-cause mortality in the DM-HTN group across cohorts. In the UK Biobank, fully adjusted hazard ratios were 0.66 for Daily MET and 0.43 for Peak-30 MET. In NHANES, Peak-30 MIMS showed robust associations (HR = 0.57, p < 0.001), while Daily MIMS attenuated to non-significance (HR = 0.95, p = 0.116) after full adjustment. Non-linear dose-response modelling identified lower inflection points for peak intensity in DM-HTN compared with diabetes-alone individuals. SHAP analyses confirmed that continuous peak intensity maintained stable protective contributions across comorbidity strata.

conclusionsWearable sensor-derived continuous PA dimensions capture mortality risk gradients in DM-HTN that are inaccessible to conventional approaches. Population-specific, clinically attainable inflection thresholds identified through continuous monitoring support incorporating sensor-derived PA metrics as digital biomarkers in comorbidity-specific risk stratification frameworks.

Indexed as

All-cause mortalityDiabetes mellitusDigital biomarkerHypertensionPhysical activityRisk stratificationWearable sensors

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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 Socratic graph.