Metabolic clustering, physical activity and fitness in nonsmoking, middle-aged men

被引:64
作者
Carroll, S [1 ]
Cooke, CB [1 ]
Butterly, RJ [1 ]
机构
[1] Leeds Metropolitan Univ, Sch Leisure & Sports Studies, Leeds LS6 3QS, W Yorkshire, England
关键词
D O I
10.1097/00005768-200012000-00018
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Purpose: The relationship of both physical activity and predicted maximum oxygen consumption ((V) over dot O-2max) with the clustering of metabolic risk factors associated with the metabolic syndrome (MS) was examined within 711 employed middle-aged (46.9 +/- 7.8 yr) men. Methods: Metabolic markers included fasting glucose, triglycerides, high-density lipoprotein cholesterol, blood pressure, and BMI, defined by highest risk quintiles or clinically relevant risk thresholds. Results: The prevalence and age-adjusted odds ratios of all MS clusters were inversely graded across both higher physical activity index (PAT) and cardiorespiratory fitness (CRF) categories. The age-adjusted odds ratio for the clustering of clinically relevant metabolic markers was 0.60 (95% CI 0.22-1.22) for subjects in the occasional/light PAI, 0.32 (95% CI 0.12-0.82) for the moderate/moderately vigorous PAI, and 0.13 (95% CI 0.02-1.02) for the vigorous PAI when compared with subjects in the sedentary PAI (P < 0.05 for trend). The corresponding age-adjusted odds ratio was 0.28 (95% CI 0.14-0.57) for subjects in the moderate fitness category and 0.12 (95% CI 0.05-0.32) for the highest fitness category compared with those in the lowest fitness category (P < 0.001 for trend). Higher levels of physical activity or CRF were also associated with significantly lower age-adjusted odds ratios for the MS after exclusion of obesity in the MS definition. Conclusion: Overall, these cross-sectional results suggest that higher physical activity and predicted (V) over dot O-2max levels are associated with a decreased clustering of risk factors associated with the MS in middle-aged men of higher social class.
引用
收藏
页码:2079 / 2086
页数:8
相关论文
共 31 条
[1]  
American Diabetes Association, 1998, DIABETES CARE S1, V21, ps5
[2]  
[Anonymous], 1994, CIRCULATION
[3]  
Astrand PO, 1986, TXB WORK PHYSL PHYSL, P354
[4]   EXERCISE AND DIET IN THE PREVENTION AND CONTROL OF THE METABOLIC SYNDROME [J].
BARNARD, RJ ;
WEN, SJ .
SPORTS MEDICINE, 1994, 18 (04) :218-228
[5]   General characteristics of the insulin resistance syndrome - Prevalence and heritability [J].
Beck-Nielsen, H .
DRUGS, 1999, 58 (Suppl 1) :7-10
[6]  
BERNTORP K, 1984, ACTA MED SCAND, V216, P111
[7]   Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study [J].
Brunner, EJ ;
Marmot, MG ;
Nanchahal, K ;
Shipley, MJ ;
Stansfeld, SA ;
Juneja, M ;
Alberti, KGMM .
DIABETOLOGIA, 1997, 40 (11) :1341-1349
[8]   Insulin sensitivity index, acute insulin response, and glucose effectiveness in a population-based sample of 380 young healthy Caucasians - Analysis of the impact of gender, body fat, physical fitness, and life-style factors [J].
Clausen, JO ;
BorchJohnsen, K ;
Ibsen, H ;
Bergman, RN ;
Hougaard, P ;
Winther, K ;
Pedersen, O .
JOURNAL OF CLINICAL INVESTIGATION, 1996, 98 (05) :1195-1209
[9]  
Eriksson J, 1997, DIABETOLOGIA, V40, P125
[10]  
Fagan Timothy C., 1998, American Journal of Medicine, V105, p77S, DOI 10.1016/S0002-9343(98)00216-2