ArticleMayo Clinic proceedings. Innovations, quality & outcomes2026
The Utility of Measures of Physical Behavior, Function, and Fitness as Predictors of Mortality.
Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To assess whether simple measures of lifestyle and physical health improve mortality risk prediction in healthy adults and those living with health conditions when added to or substituted for traditional risk factors. Patients and Methods: Data were from the UK Biobank (N=407,569; median age, 58 years; May 1, 2006 to September 30, 2022), stratified by sex and health status. The base model included the following: age, smoking status, body mass index, systolic blood pressure (SBP), total cholesterol-to-high-density lipoprotein cholesterol ratio (CHR), and material deprivation. Five simple physical measures (leisure time physical activity; sleep duration; resting heart rate; maximum handgrip strength; and walking pace [WP]) were added to or substituted for traditional risk factors (ie, SBP and CHR), both individually and combined. Model performance was assessed using the C-index and net reclassification index (NRI). Results: Replacing both CHR and SBP with all physical measures improved C-index of 0.022 (95% CI, 0.018-0.026) and NRI by 9.6% (95% CI, 6.5%-12.8%) in women living with a health condition. Corresponding values for men were as follows: C-index: 0.024 (95% CI, 0.020-0.027); NRI: 19.0% (95% CI, 16.6%-21.4%). The improvement of C-index was smaller in healthy women (0.006; 95% CI, 0.004-0.007) and men (0.007; 95% CI, 0.006-0.009). WP alone improved risk prediction and classification when replacing CHR and SBP in individuals with a health condition, with a C-index improvement of 0.015 (95% CI, 0.012-0.019) and an NRI of 11.0% (95% CI, 7.4%-14.6%) in women and 0.014 (95% CI, 0.012-0.017) and 14.0% (95% CI, 11.5%-16.5%) in men, respectively. Conclusion: Measures of lifestyle and physical health improve mortality prediction and classification and could be used as potential substitutes for traditional clinical factors, particularly in populations with prevalent illness. WP was the strongest individual predictor.
Identifiers
What OpenQuestion holds
Registered trials
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.