Assessing cardiorespiratory fitness without performing exercise testing

被引:259
作者
Jurca, R
Jackson, AS
LaMonte, MJ
Morrow, JR
Blair, SN
Wareham, NJ
Haskell, WL
van Mechelen, W
Church, TS
Jakicic, JM
Laukkanen, R
机构
[1] Cooper Inst, Dallas, TX 75230 USA
[2] Univ Houston, Dept Hlth & Human Performance, Houston, TX USA
[3] Univ N Texas, Dept Kinesiol, Denton, TX 76203 USA
[4] Univ Cambridge, Dept Publ Hlth & Primary Care, Inst Publ Hlth, Cambridge, England
[5] Stanford Univ, Dept Med, Stanford, CA 94305 USA
[6] Vrije Univ Amsterdam Med Ctr, Inst Res Extramural Med, Amsterdam, Netherlands
[7] Vrije Univ Amsterdam Med Ctr, Dept Publ & Occupat Hlth, Amsterdam, Netherlands
[8] Univ Pittsburgh, Phys Activ & Weight Management Res Ctr, Pittsburgh, PA USA
[9] Polar Electro Laukkanen, Kempele, Finland
关键词
D O I
10.1016/j.amepre.2005.06.004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Low cardiorespiratory fitness (CRF) is associated with increased risk of chronic diseases and mortality; however, CRF assessment is usually not performed in many healthcare settings. The purpose of this study is to extend previous work on a non-exercise test model to predict CRF from health indicators that are easily obtained. Methods: Participants were men and women aged 20 to 70 years whose CRF level was quantified with a maximal or submaximal exercise test as part of the National Aeronautics and Space Administration/Johnson Space Center (NASA, n = 1863), Aerobics Center Longitudinal Study (ACLS, n = 46,190), or Allied Dunbar National Fitness Survey (ADNFS, n = 1706). Other variables included gender, age, body mass index, resting heart rate, and self-reported physical activity levels. Results: All variables used in the multiple linear regression models were independently related to the CRF in each of the study cohorts. The multiple correlation coefficients obtained within NASA, ACLS, and ADNFS participants, respectively, were 0.81, 0.77, and 0.76. The standard error of estimate (SEE) was 1:45, 1.50, and 1.97 metabolic equivalents (METs) (1 MET = 3.5 ml O-2 uptake (.) kilograms of body mass(-1 .) minutes(-1)), respectively, for the NASA, ACLS, and ADNFS regression models. All regression models demonstrated a high level of cross-validity (0.72 < R < 0.80). The highest cross-validation coefficients were seen when the NASA regression model was applied to the ACLS and ADNFS cohorts (R = 0.76 and R = 0.75, respectively). Conclusions: This study suggests that CRF may be accurately estimated in adults from a non-exercise test model including gender, age, body mass index, resting heart rate, and self-reported physical activity. Conclusions: This study suggests that CRF may be accurately estimated in adults from a non-exercise test model including gender, age, body mass index, resting heart rate, and self-reported physical activity.
引用
收藏
页码:185 / 193
页数:9
相关论文
共 50 条
[11]  
Bouchard C, 1997, GENETICS FITNESS PHY
[12]   Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure [J].
Chobanian, AV ;
Bakris, GL ;
Black, HR ;
Cushman, WC ;
Green, LA ;
Izzo, JL ;
Jones, DW ;
Materson, BJ ;
Oparil, S ;
Wright, JT ;
Roccella, EJ .
HYPERTENSION, 2003, 42 (06) :1206-1252
[13]   Diabetic retinopathy and diabetic macular edema - Pathophysiology, screening, and novel therapies [J].
Ciulla, TA ;
Amador, AG ;
Zinman, B .
DIABETES CARE, 2003, 26 (09) :2653-2664
[14]   Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) [J].
Cleeman, JI ;
Grundy, SM ;
Becker, D ;
Clark, LT ;
Cooper, RS ;
Denke, MA ;
Howard, WJ ;
Hunninghake, DB ;
Illingworth, DR ;
Luepker, RV ;
McBride, P ;
McKenney, JM ;
Pasternak, RC ;
Stone, NJ ;
Van Horn, L ;
Brewer, HB ;
Ernst, ND ;
Gordon, D ;
Levy, D ;
Rifkind, B ;
Rossouw, JE ;
Savage, P ;
Haffner, SM ;
Orloff, DG ;
Proschan, MA ;
Schwartz, JS ;
Sempos, CT ;
Shero, ST ;
Murray, EZ .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 285 (19) :2486-2497
[15]   THE EFFECTS OF AEROBIC EXERCISE ON PLASMA-CATECHOLAMINES AND BLOOD-PRESSURE IN PATIENTS WITH MILD ESSENTIAL-HYPERTENSION [J].
DUNCAN, JJ ;
FARR, JE ;
UPTON, SJ ;
HAGAN, RD ;
OGLESBY, ME ;
BLAIR, SN .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1985, 254 (18) :2609-2613
[16]   Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness - A randomized trial [J].
Dunn, AL ;
Marcus, BH ;
Kampert, JB ;
Garcia, ME ;
Kohl, HW ;
Blair, SN .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1999, 281 (04) :327-334
[17]   PHYSICAL-FITNESS AS A PREDICTOR OF CARDIOVASCULAR MORTALITY IN ASYMPTOMATIC NORTH-AMERICAN MEN - THE LIPID RESEARCH CLINICS MORTALITY FOLLOW-UP-STUDY [J].
EKELUND, LG ;
HASKELL, WL ;
JOHNSON, JL ;
WHALEY, FS ;
CRIQUI, MH ;
SHEPS, DS .
NEW ENGLAND JOURNAL OF MEDICINE, 1988, 319 (21) :1379-1384
[18]   Use of a scoring model combining clinical, exercise test, and echocardiographic data to predict mortality in patients with known or suspected coronary artery disease [J].
Elhendy, A ;
Mahoney, DW ;
McCully, RB ;
Seward, JB ;
Burger, KN ;
Pellikka, PA .
AMERICAN JOURNAL OF CARDIOLOGY, 2004, 93 (10) :1223-1228
[19]   Assessment of functional capacity in clinical and research applications -: An advisory from the Committee on Exercise, Rehabilitation, and Prevention, Council on Clinical Cardiology, American Heart Association [J].
Fleg, JL ;
Piña, IL ;
Balady, GJ ;
Chaitman, BR ;
Fletcher, B ;
Lavie, C ;
Limacher, MC ;
Stein, RA ;
Williams, M ;
Bazzarre, T .
CIRCULATION, 2000, 102 (13) :1591-1597
[20]   EXERCISE STANDARDS - A STATEMENT FOR HEALTH-CARE PROFESSIONALS FROM THE AMERICAN-HEART-ASSOCIATION [J].
FLETCHER, GF ;
BALADY, G ;
FROELICHER, VF ;
HARTLEY, LH ;
HASKELL, WL ;
POLLOCK, ML .
CIRCULATION, 1995, 91 (02) :580-615