Table 1. Wear-time compliance and acceleration vector magnitude by age, day, time of day, and season, stratified by sex: The UK Biobank study 2013–2015 (n = 103,578).
| Wear time [median (IQR) hours] | Acceleration vector magnitude [mean +- stdev mg] | |||
|---|---|---|---|---|
| Women | Men | Women | Men | |
| Age (yrs) A | ||||
| 45–54 | 164.9 (152.4–167.0) | 165.4 (149.5–168.0) | 31.2 +- 8.7 | 31.1 +- 9.7 |
| (n = 12,586) | (n = 8655) | (n = 11,572) | (n = 7838) | |
| 55–64 | 165.4 (156.0–167.0) | 165.8 (156.5–168.0) | 29.1 +- 8.0 | 28.8 +- 8.8 |
| (n = 21,322) | (n = 14,410) | (n = 19,890) | (n = 13,362) | |
| 65–74 | 165.6 (159.1–168.0) | 166.8 (160.8–168.0) | 26.6 +- 7.1 | 25.6 +- 7.7 |
| (n = 22,821) | (n = 20,595) | (n = 21,489) | (n = 19,385) | |
| 75–79 | 165.6 (158.9–167.0) | 166.8 (162.6–168.0) | 23.9 +- 6.5 | 22.9 +- 6.8 |
| (n = 1494) | (n = 1695) | (n = 1436) | (n = 1628) | |
| p value | p<0.001 | p<0.001 | p<0.001 | p<0.001 |
| Time of day B | ||||
| 0–5.59 am | 40.9 (36.0–42.0) | 42.0 (36.6–42.0) | 4.4 +- 3.1 | 4.9 +- 4.4 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| 6–11.59 am | 41.0 (38.9–42.0) | 42.0 (39.0–42.0) | 38.6 +- 14.9 | 37.4 +- 16.4 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| 12–5.59 pm | 42.0 (40.3–42.0) | 42.0 (40.3–42.0) | 44.3 +- 13.8 | 42.9 +- 16.0 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| 6–11.59 pm | 42.0 (39.5–42.0) | 42.0 (40.2–42.0) | 26.4 +- 10.4 | 24.9 +- 11.5 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| p value | p<0.001 | p<0.001 | p<0.001 | p<0.001 |
| Day C | ||||
| Weekday | 23.7 (22.5–24.0) | 23.8 (22.6–24.0) | 28.5 +- 8.2 | 27.5 +- 9.0 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| Weekend | 24.0 (22.9–24.0) | 24.0 (23.3–24.0) | 28.0 +- 9.4 | 27.1 +- 10.8 |
| (n = 58,223) | (n = 45,355) | (n = 54,387) | (n = 42,213) | |
| p value | p<0.001 | p<0.001 | p<0.001 | p<0.001 |
| Season D | ||||
| Spring | 165.6 (156.2–167.5) | 166.1 (157.4–168.0) | 28.8 +- 8.0 | 28.1 +- 9.1 |
| (n = 13,365) | (n = 10,224) | (n = 12,480) | (n = 9,469) | |
| Summer | 165.4 (156.2–168.0) | 166.3 (157.4–168.0) | 28.8 +- 8.1 | 28.2 +- 8.7 |
| (n = 15,450) | (n = 11,943) | (n = 14,353) | (n = 11,016) | |
| Autumn | 165.6 (157.2–167.0) | 166.3 (158.2–168.0) | 28.3 +- 8.0 | 27.3 +- 8.7 |
| (n = 17,213) | (n = 13,506) | (n = 16,157) | (n = 12,633) | |
| Winter | 165.6 (156.7–168.0) | 166.3 (157.9–168.0) | 27.7 +- 7.8 | 26.3 +- 8.4 |
| (n = 12,195) | (n = 9,682) | (n = 11,397) | (n = 9,095) | |
| p value | p = 0.289 | p = 0.104 | p<0.001 | p<0.001 |
A Age: Kruskal-Wallis test used to compare wear-time distributions, and one-way analysis of variance test used to compare acceleration vector magnitude means. Sum wear time hours for week displayed (max = 168.0).
B Time of day: Friedman test used to compare wear-time distributions within individuals, and repeated one-way analysis of variance test used to compare acceleration vector magnitude means within individuals and between age groups. Sum wear time hours for time quadrant over a week displayed (max = 168.0).
C Day: Wilcoxon test used to compare wear-time distributions within individuals, and repeated one-way analysis of variance test used to compare acceleration vector magnitude means within individuals and between age groups. Average wear time hours for day displayed (max = 24.0).
D Season (Spring starting on 1st March): Kruskal-Wallis test used to compare wear-time distributions, and two-way analysis of variance test used to compare acceleration vector magnitude means between age groups. Sum wear time hours for week displayed (max = 168.0).