A non-exercise testing method for estimating cardiorespiratory fitness: associations with all-cause and cardiovascular mortality in a pooled analysis of eight population-based cohorts | Zendy

Emmanuel Stamatakis | Zendy; Mark Hamer | Zendy; Gary O’Donovan | Zendy; G. David Batty | Zendy; Mika Kivimäki | Zendy

Open Access

A non-exercise testing method for estimating cardiorespiratory fitness: associations with all-cause and cardiovascular mortality in a pooled analysis of eight population-based cohorts

Author(s) -

Emmanuel Stamatakis,

Mark Hamer,

Gary O’Donovan,

G. David Batty,

Mika Kivimäki

Publication year - 2012

Publication title -

european heart journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.336

H-Index - 293

eISSN - 1522-9645

pISSN - 0195-668X

DOI - 10.1093/eurheartj/ehs097

Subject(s) - cardiorespiratory fitness , medicine , hazard ratio , confidence interval , confounding , body mass index , metabolic equivalent , physical fitness , demography , population , physical therapy , diabetes mellitus , gerontology , environmental health , physical activity , endocrinology , sociology

Cardiorespiratory fitness (CRF) is a key predictor of chronic disease, particularly cardiovascular disease (CVD), but its assessment usually requires exercise testing which is impractical and costly in most health-care settings. Non-exercise testing cardiorespiratory fitness (NET-F)-estimating methods are a less resource-demanding alternative, but their predictive capacity for CVD and total mortality has yet to be tested. The objective of this study is to examine the association of a validated NET-F algorithm with all-cause and CVD mortality.

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