Sample characteristics | Total | Non-dog owner | Dog owner | Dog acquired | Dog loss | |
---|---|---|---|---|---|---|
n = 600 | n = 307 | n = 204 | n = 58 | n = 31 | ||
Median (IQR) | Median (IQR) | Median (IQR) | Median (IQR) | p-value | ||
Wave 1 age (years) | 3.2 (1.1) | 3.2 (1.2) | 3.3 (1.0) | 3.3 (1.1) | 3.1 (0.9) | 0.780 |
Length of follow-up (years) | 3.0 (1.0) | 2.9 (1.1) | 2.9 (1.0) | 3.2 (1.2) | 3.1 (0.9) | 0.112 |
n (%) | n (%) | n (%) | n (%) | n (%) | p-value | |
Child sex | n = 600 | n = 307 | n = 204 | n = 58 | n = 31 | |
Female | 293 (48.8) | 150 (48.9) | 102 (50.0) | 27 (46.6) | 14 (45.2) | 0.940 |
Mother’s education | n = 598 | n = 307 | n = 203 | n = 58 | n = 31 | |
Secondary school, trade, or diploma | 196 (32.8) | 75 (24.4) | 85 (42.1) | 22 (37.9) | 14 (45.2) | < 0.001 |
Tertiary degree | 402 (67.2) | 232 (75.6) | 117 (57.9) | 36 (62.1) | 17 (54.8) | |
Mother’s work status | n = 599 | n = 307 | n = 203 | n = 58 | n = 31 | |
Not in paid employment | 112 (18.7) | 54 (17.6) | 30 (14.8) | 18 (31.0) | 10 (32.3) | 0.011 |
Working full-time | 173 (28.9) | 81 (26.4) | 71 (35.0) | 12 (20.7) | 9 (29.0) | |
Working part-time | 314 (52.4) | 172 (56.0) | 102 (50.3) | 28 (48.3) | 12 (38.7) | |
Yard size | n = 574 | n = 294 | n = 193 | n = 56 | n = 31 | |
Big enough for running and playing | 501 (87.3) | 242 (82.3) | 180 (93.3) | 50 (89.3) | 29 (93.6) | 0.003 |
Dwelling type | n = 582 | n = 298 | n = 196 | n = 58 | n = 30 | |
House | 516 (88.7) | 251 (84.2) | 184 (93.9) | 51 (87.9) | 30 (100.0) | 0.002 |
Duplex/townhouse/flat/other | 66 (11.3) | 47 (15.8) | 12 (6.1) | 7 (12.1) | 0 (0.0) | |
Wave 1 valid accelerometer data | n = 600 | n = 307 | n = 204 | n = 58 | n = 31 | |
Yes | 460 (76.7) | 232 (75.6) | 167 (81.9) | 41 (70.7) | 20 (64.5) | 0.072 |
Wave 1 seasona | n = 460 | n = 232 | n = 167 | n = 41 | n = 20 | |
Autumn | 134 (29.1) | 59 (25.4) | 57 (34.1) | 11 (26.8) | 7 (35.0) | 0.664 |
Winter | 122 (26.5) | 68 (29.3) | 38 (22.8) | 12 (29.3) | 4 (20.0) | |
Spring | 159 (34.6) | 78 (33.6) | 59 (35.3) | 15 (36.6) | 7 (35.0) | |
Summer | 45 (9.8) | 27 (11.6) | 13 (7.8) | 3 (7.3) | 2 (10.0) | |
Wave 2 valid accelerometer data | n = 600 | n = 307 | n = 204 | n = 58 | n = 31 | |
Yes | 420 (70.0) | 213 (69.4) | 151 (74.0) | 35 (60.3) | 21 (67.7) | 0.233 |
Wave 2 seasona | n = 419 | n = 213 | n = 151 | n = 35 | n = 21 | |
Autumn | 99 (46.5) | 69 (45.7) | 14 (40.0) | 8 (38.1) | 99 (46.5) | 0.549 |
Winter | 50 (23.5) | 30 (19.9) | 8 (22.9) | 6 (28.6) | 50 (23.5) | |
Spring | 37 (17.4) | 20 (13.3) | 7 (20.0) | 2 (9.5) | 37 (17.4) | |
Summer | 27 (12.7) | 32 (21.2) | 6 (17.1) | 5 (23.8) | 27 (12.7) | |
Wave 2 data collection occurred during COVID-19b | n = 420 | n = 213 | n = 155 | n = 35 | n = 21 | |
Yes | 188 (44.8) | 103 (48.4) | 56 (37.1) | 18 (51.4) | 11 (52.4) | 0.120 |
Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | p-value | |
Wave 1 accelerometer wear time (mins/day) | 666.0 (64.5) | 669.1 (67.3) | 664.8 (63.5) | 666.4 (54.5) | 639.6 (56.6) | 0.268 |
Wave 2 accelerometer wear time (mins/day) | 884.9 (153.8) | 893.0 (150.5) | 886.1 (167.0) | 852.4 (123.2) | 848.8 (129.0) | 0.347 |