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Table 1 Association of socio-demographic factors with accelerometer-based CPM (2014 and 2019) and tracking of physical activity

From: Does growing up in a physical activity-friendly neighborhood increase the likelihood of remaining active during adolescence and early adulthood?

ÌýÌýÌý

Total physical activity (TPA)a

Tracking of physical activity (MVPA)

n (%)

CPM 2014

Mean (SD)

CPM 2019

Mean (SD)

Active below medianb, in both time points

(n = 120)

Became less activea

(n = 97)

Became more activea

(n = 96)

Active above mediana, in both time points

(n = 134)

pX2 for difference

between tracking groups

Age

Younger (6 to 10 at baseline)(ref.)

314 (70.3)

618 (169)

470 (163)

-

-

-

-

Ìý

Older 11 to 16 at baseline

133 (29.8)

476 (171)***

413 (171)**

-

-

-

-

Ìý

Sex

Boys (ref)

215 (48.1)

635 (192)

487 (152)

-

-

-

-

Ìý

Girls

232 (51.9)

521 (151)***

422 (176)***

-

-

-

-

Ìý

Household income

Low (ref)

81 (19.3)

570 (227)

460 (193)

29.6%

21.0%

27.2%

22.2%

Ìý

Medium

138 (32.7)

573 (183)

435 (144)

29.7%

20.3%

17.4%

32.6%

Ìý

High

186 (41.6)

581 (161)

467 (176)

23.7%

22.0%

22.0%

32.3%

Ìý

No indication

42 (9.4)

573 (165)

438 (150)

26.2%

23.8%

23.8%

26.2%

0.8

Nationality

Swiss(ref)

312 (69.8)

578 (184)

457 (167)

26.0%

21.4%

20.5%

32.1%

Ìý

Non-Swiss

42 (9.4)

574 (172)

492 (213)

31.0%

14.2%

28.6%

26.2%

Ìý

Dual Citizen

93 (20.8)

569 (177)

425 (145)

28.0%

28.0%

19.3%

24.7%

0.4

  1. aThe analyses with total physical activity as outcome were adjusted for age and sex; the age and sex associations with total physical activity were only adjusted for sex and age, respectively)
  2. bCompared to peers of the same sex and the same age
  3. *p-±¹²¹±ô³Ü±ð ≤ 0.05
  4. **p-±¹²¹±ô³Ü±ð ≤ 0.01
  5. ***p-±¹²¹±ô³Ü±ð ≤ 0.001