Background
Methods
Study subjects and design
Activity assessment
Anthropometric measurement
Covariates
Data analyses
Results
μ (SD) | |
Weight (kg) | 41.5 (9.4) |
Height (cm) | 147.9 (6.9) |
BMI | 18.8 (3.3) |
BMI z-score | 0.5 (1.2) |
n (%) | |
N Total | 419 (100%) |
Gender | |
Male | 190 (45.3%) |
Female | 229 (54.7%) |
BMI | |
Normal | 285 (68.0%) |
Overweight/Obese | 134 (32.0%) |
Country | |
Germany | 62 (14.8%) |
Belgium | 60 (14.3%) |
Italy | 103 (24.6%) |
Poland | 62 (14.8%) |
Spain | 132 (31.5%) |
Season | |
Winter | 137 (32.7%) |
Spring | 105 (25.1%) |
Summer | 65 (15.5%) |
Autumn | 112 (26.7%) |
Adherence to guidelines and differences in PA
Threshold determination
AUC (95%CI) | Youden index | Cut-off (min·day−1) | Sensitivity | Specificity | |
---|---|---|---|---|---|
Total | |||||
Sedentary | 0.64 (0.58; 0.70) | .255 | 388 | 0.69 | 0.57 |
LPA | 0.58 (0.52; 0.64) | .205 | 348 | 0.71 | 0.50 |
MPA | 0.61 (0.55; 0.67) | .234 | 38 | 0.79 | 0.45 |
VPA | 0.64 (0.58; 0.70) | .260 | 5 | 0.79 | 0.47 |
MVPA | 0.62 (0.56; 0.68) | .230 | 46 | 0.78 | 0.45 |
Male | |||||
Sedentary | 0.63 (0.54; 0.72) | .249 | 382 | 0.77 | 0.48 |
LPA | 0.60 (0.51; 0.68) | .286 | 344 | 0.64 | 0.65 |
MPA | 0.63 (0.54; 0.72) | .239 | 69 | 0.62 | 0.62 |
VPA | 0.67 (0.58; 0.75) | .290 | 20 | 0.55 | 0.74 |
MVPA | 0.65 (0.56; 0.73) | .276 | 76 | 0.77 | 0.51 |
Female | |||||
Sedentary | 0.65 (0.57; 0.72) | .288 | 410 | 0.59 | 0.69 |
LPA | 0.55 (0.47; 0.64) | .137 | 349 | 0.78 | 0.36 |
MPA | 0.63 (0.55; 0.71) | .263 | 39 | 0.67 | 0.59 |
VPA | 0.66 (0.58; 0.74) | .317 | 6 | 0.65 | 0.67 |
MVPA | 0.64 (0.56; 0.72) | .271 | 46 | 0.66 | 0.61 |
n
| Sedentary | PA | LPA | MPA | VPA | MVPA | Adherence PAGsb
| |
---|---|---|---|---|---|---|---|---|
Total | 419 | 391 (333; 473) | 462 (389; 534) | 379 (318; 429) | 60 (35; 93) | 11 (4; 24) | 75 (41; 115) | 265 (63.2%) |
Gender | ||||||||
Male | 190 | 404 (338; 480) | 458 (371; 530) |
353 (297; 396)
|
71 (54; 107)
|
19 (9; 33)
|
95 (65; 139)
| 152 (80.0%) |
Female | 229 | 383 (330; 458) | 473 (395; 539) |
399 (346; 447)
|
47 (27; 74)
|
8 (3; 15)
|
59 (33; 92)
| 113 (49.3%) |
BMI | ||||||||
Normal | 285 |
374 (330; 446)
|
478 (408; 541)
|
384 (333; 431)
|
65 (41; 95)
|
13 (6; 26)
|
82 (51; 126)
| 198 (69.5%) |
Overweight/Obese | 134 |
433 (362; 504)
|
426 (355; 496)
|
352 (288; 422)
|
47 (27; 74)
|
7 (2; 17)
|
60 (30; 102)
| 67 (50.0%) |
Country | ||||||||
Germany | 62 |
394 (333; 484)
|
452 (390; 536)
|
367 (317; 417)
|
65 (39; 92)
|
16 (8; 26)
|
79 (50; 115)
| 44 (71.0%) |
Belgium | 60 |
373 (299; 423)
|
451 (401; 537)
|
387 (329; 453)
|
55 (32; 84)
|
12 (4; 22)
|
69 (40; 106)
| 36 (60.0%) |
Italy | 103 |
428 (350; 503)
|
452 (367; 524)
|
381 (319; 422)
|
50 (27; 84)
|
9 (2; 20)
|
59 (28; 100)
| 51 (49.5%) |
Poland | 62 |
426 (383; 511)
|
452 (362; 518)
|
353 (288; 398)
|
68 (38; 107)
|
10 (5; 21)
|
78 (48; 128)
| 43 (69.4%) |
Spain | 132 |
365 (323; 440)
|
491 (411; 540)
|
391 (337; 437)
|
67 (40; 95)
|
12 (5; 28)
|
82 (47; 125)
| 91 (68.9%) |
Season | ||||||||
Winter | 137 |
409 (350; 492)
|
439 (364; 515)
| 369 (307; 418) |
55 (31; 80)
| 10 (3; 20) |
65 (36; 106)
| 79 (57.7%) |
Spring | 105 |
407 (337; 488)
|
461 (391; 540)
| 374 (326; 422) |
61 (30; 92)
| 13 (4; 25) |
77 (37; 113)
| 64 (61.0%) |
Summer | 65 |
360 (311; 415)
|
496 (419; 555)
| 381 (321; 427) |
77 (39; 117)
| 14 (6; 25) |
92 (51; 143)
| 47 (72.3%) |
Autumn | 112 |
389 (320; 452)
|
480 (414; 540)
| 386 (338; 445) |
68 (39; 94)
| 12 (6; 26) |
80 (49; 126)
| 75 (67.0%) |