From: Correlates and Determinants of Cardiorespiratory Fitness in Adults: a Systematic Review
 | Number of studies | % | Reference numbers |
---|---|---|---|
Risk of bias | |||
Low | 30 | 38% | [1, 2, 4, 12, 14,15,16, 18, 20, 23,24,25,26, 31, 34, 36, 40, 42,43,44, 49, 50, 57, 59, 60, 62, 67, 75,76,77] |
Medium | 41 | 53% | [5,6,7,8,9, 13, 17, 21, 22, 28,29,30, 32, 33, 35, 37,38,39, 45,46,47,48, 51, 55, 56, 58, 61, 63,64,65,66, 68,69,70,71,72,73,74, 78] |
High | 7 | 9% | |
Sample size | |||
< 100 | 5 | 6% | |
100–299 | 19 | 24% | [4, 6, 7, 9, 10, 13, 21, 27, 29, 32, 48, 51, 52, 66, 68, 70, 73, 75, 76] |
300–499 | 9 | 12% | |
500–1999 | 25 | 32% | [15, 18, 19, 22,23,24,25,26, 30, 31, 35, 40, 43, 44, 46, 47, 50, 54, 55, 60, 61, 63, 65, 69, 74] |
2000–4999 | 14 | 18% | |
> 5000 | 6 | 8% | |
Region | |||
North America | 31 | 40% | [1, 2, 4, 5, 10,11,12, 14, 17, 19, 21, 22, 28, 33, 34, 37, 42,43,44, 50,51,52,53, 57, 59, 60, 63, 65, 67, 69, 77] |
Europe | 29 | 37% | [6, 7, 18, 20, 23,24,25,26,27, 29, 30, 36, 38, 40, 45, 47,48,49, 55, 56, 62, 64, 66, 70, 71, 75, 76] |
Asia | 14 | 18% | |
Oceania (including Australia) | 4 | 5% | |
World Bank income classification | |||
High-income countries | 74 | 95% | [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29, 33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60, 62,63,64,65,66,67,68,69,70,71, 74,75,76,77,78] |
Upper-middle-income countries | 2 | 3% | |
Lower-middle-income countries | 2 | 3% | |
Low-income countries | 0 | 0% | – |
Country | |||
Canada | 1 | 1% | [51] |
United States | 30 | 38% | [1, 2, 4, 5, 10,11,12, 14, 17, 19, 21, 22, 28, 33, 34, 37, 42,43,44, 50, 52, 53, 57, 59, 60, 63, 65, 67, 69, 77] |
Finland | 5 | 6% | |
Sweden | 3 | 4% | |
Norway | 3 | 4% | |
Netherlands | 4 | 5% | |
Germany | 6 | 8% | |
United Kingdom | 2 | 3% | |
Belgium | 2 | 3% | |
Lithuania | 1 | 1% | [27] |
Italy | 1 | 1% | [56] |
Spain | 1 | 1% | [75] |
Israel | 3 | 4% | |
Jordan | 1 | 1% | [32] |
India | 1 | 1% | [61] |
China | 2 | 3% | |
Korea | 2 | 3% | |
Japan | 5 | 6% | |
Australia | 2 | 3% | [15] |
New Zealand | 2 | 3% | |
Multiple countries | 1 | 1% | [9] |
Study design | |||
Cross-sectional | 59 | 76% | [1,2,3, 9,10,11,12,13,14, 16, 18,19,20,21, 23,24,25,26,27,28,29,30, 32,33,34,35,36, 39,40,41,42,43,44,45, 47,48,49,50,51,52, 54, 56,57,58,59, 61, 62, 65,66,67,68,69, 72, 74, 75, 77, 78] |
Longitudinal | 18 | 23% | [6, 15, 17, 22, 31, 37, 38, 46, 53, 55, 60, 63, 64, 70, 73, 76] |
Case–control | 1 | 1% | [71] |
Sex | |||
Women only | 8 | 10% | |
Men only | 17 | 22% | [3, 5, 10, 17, 23, 32, 35, 45, 47, 48, 50, 55, 56, 61, 64, 74, 76] |
Women and men | 48 | 62% | [2, 4, 6,7,8, 11, 12, 14,15,16, 18, 20,21,22, 24,25,26,27, 29, 30, 33, 34, 36,37,38, 40,41,42,43,44, 49, 51, 54, 57,58,59,60, 65,66,67,68,69,70,71,72, 75, 78, 79] |
NR | 5 | 6% | |
Maximal or submaximal exercise testing | |||
Maximal | 48 | 62% | [8, 11,12,13, 16,17,18, 21,22,23, 25,26,27,28,29,30, 33,34,35,36,37,38,39,40, 45, 47, 48, 51,52,53, 55,56,57, 59,60,61, 63,64,65,66, 69,70,71, 73,74,75, 77] |
Submaximal | 27 | 35% | [1, 5,6,7, 9, 14, 15, 19, 20, 24, 31, 41,42,43,44, 46, 49, 50, 54, 58, 62, 67, 68, 72, 76] |
NR | 3 | 4% | |
Exercise test machine | |||
Cycle | 34 | 44% | [3, 5,6,7, 9, 13, 15, 20, 23,24,25,26,27, 30,31,32, 36, 40, 45,46,47,48, 51, 55, 56, 64, 66, 68, 71,72,73,74,75,76] |
Treadmill | 44 | 56% | [1, 2, 4, 8, 10,11,12, 14, 16,17,18,19, 21, 22, 28, 29, 33,34,35, 37,38,39, 41,42,43,44, 49, 50, 52,53,54, 57,58,59,60,61,62,63, 65, 67, 69, 70, 77, 78] |
CRF measure | |||
 VO2max, direct (among others) | 39 | 50% | [4, 5, 8, 10, 13, 17, 18, 21,22,23,24,25,26,27, 29, 30, 33, 35, 38,39,40, 45, 47,48,49, 51,52,53,54, 62, 65, 66, 69,70,71,72,73, 75, 76] |
VO2max indirect (among others) | 19 | 24% | [1, 6, 7, 9, 14, 16, 31, 41,42,43,44, 46, 50, 67, 68, 74, 77] |
Only other measures | 19 | 24% | [11, 12, 15, 19, 20, 28, 32, 34, 36, 37, 55,56,57,58,59,60,61, 63, 64] |
NR | 1 | 1% | [78] |