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Table 1 Sample characteristics

From: Family, school and individual characteristics associated with adolescents’ physical activity at school in Hong Kong: the iHealt(H) study

Variables [theoretical range]

Full sample

(N = 1299)

 

Accelerometry based sub-sample of adolescents (N = 553)

Household/family characteristics

%

 

%

 

Adolescent’s gender (girls)

57.04

 

54.25

 

Parent’s gender (female)

76.44

 

76.49

 
 

Mean (SD)

Median (IQR)

Mean (SD)

Median (IQR)

Adolescent’s age (years)

14.70 (1.57)

14.62 (2.57)

14.65 (1.56)

14.58 (2.37)

Parent’s age (years)

44.95 (6.45)

45.00 (9.00)

45.29 (6.13)

45.00 (8.00)

Length of residence at current address (years)

9.68 (6.62)

10.00 (10.00)

9.47 (6.74)

9.00 (10.08)

Number of children in the household

1.66 (0.75)

2.00 (1.00)

1.72 (0.75)

2.00 (1.00)

PA equipment at home [0–10]

4.98 (2.41)

5.00 (4.00)

4.96 (2.36)

5.00 (3.00)

Social support for PA from household adults [0–4]

1.46 (0.94)

1.33 (1.33)

1.52 (0.95)

1.33 (1.33)

Parental rules about activity [0–14]

9.24 (3.61)

10.00 (5.00)

9.51 (3.56)

10.00 (5.00)

PA-related reasons for living in the neighbourhood (neighbourhood self-selection) [1–5]

3.38 (0.74)

3.43 (1.00)

3.43 (0.74)

3.43 (1.00)

Parental transport-related PA (min/week)

166.61 (284.60)

60.00 (210.00)

165.12 (289.13)

70.00 (210.00)

Parental leisure-time PA (min/week)

122.65 (279.07)

0.00 (120.00)

128.67 (278.74)

0.00 (150.00)

Proximity to school [1–5]

2.19 (1.28)

2.00 (2.00)

2.17 (1.30)

2.00 (2.00)

Number of motorised vehicles in the household

%

n

%

n

 0

69

898

68

377

 1

23

298

23

128

 2 or more

8

103

9

48

Monthly household income (HKD)

  < 15,000

29

380

27

152

 15,000 – 29,999

30

390

30

165

 30,000 – 59,999

19

248

21

116

  ≥ 60,000

22

281

22

120

Household highest education level

 Lower secondary or below

20

265

21

117

 Higher secondary

34

438

32

179

 Associate Degree/Higher diploma

12

149

11

63

 Bachelor or above

34

447

35

194

Marital status (Married or in de facto relationship)

90

1163

90

498

Type of household (Apartment/unit /flat)

89

1160

87

483

Area level socio-economic status (High)

47

604

47

259

Ethnicity/race (Chinese)

90

1163

88

486

School characteristics

Mean (SD)

Median (IQR)

Mean (SD)

Median (IQR)

PA equipment at school [0–6]

4.53 (1.11)

5.00 (1.00)

4.58 (1.08)

5.00 (1.00)

PA-friendly policy supporting after school PA [0–4]

2.53 (0.84)

2.50 (1.00)

2.55 (0.86)

2.50 (1.00)

Social support for PA from peers [0–4]

1.15 (1.04)

1.00 (2.00)

1.26 (1.10)

1.00 (2.00)

 

%

n

%

n

School type (Public)

96

1242

95

525

Adolescent’s characteristics

Mean (SD)

Median (IQR)

Mean (SD)

Median (IQR)

Enjoyment of PA [1–5]

3.73 (1.03)

4.00 (2.00)

3.85 (1.03)

4.00 (2.00)

Attitude towards PA [1–5]

3.17 (0.41)

3.20 (0.60)

3.20 (0.41)

3.20 (0.60)

Athletic ability [1–5]

2.84 (1.06)

3.00 (2.00)

2.92 (1.03)

3.00 (2.00)

Adolescent’s self-reported PA

 Total weekly minutes of PA at school

  Time 1

155.8 (55.99)

150.0 (54.00)

161.8 (58.26)

155.0 (56.00)

  Time 2

163.8 (53.64)

155.0 (50.00)

168.2 (57.09)

155.0 (60.00)

 Participation in after school sports teams (#) [0–4]

  Time 1

1.09 (1.17)

1.00 (2.00)

1.15 (1.21)

1.00 (2.00)

  Time 2

1.02 (1.14)

1.00 (2.00)

1.08 (1.19)

1.00 (2.00)

Accelerometry data

 Average MVPA (minutes per day)

  At school

  

16.04 (9.48)

13.88 (9.78)

  After school

  

9.59 (6.49)

8.13 (8.33)

 Time spent in MVPA as % of wear time

  At school

  

3.70 (2.18)

3.19 (2.24)

  After school

  

7.53 (4.94)

6.64 (6.11)

 Wear time as % of all time

  At school

  

95.62 (6.40)

99.04 (6.90)

  After school

  

94.04 (8.85)

99.00 (9.80)

 Duration of monitoring period

  Hours of school time per day

  

7.58 (0.48)

7.50 (0.83)

  Hours of after school time pre day

  

2.23 (0.30)

2.33 (0.50)

Valid days at school

  

4.93 (1.29)

5.00 (1.00)

  1. SD = standard deviation; IQR = interquartile range; PA = physical activity; HKD = Hong Kong dollars; # = number
  2. Time 1, Time 2 – data were collected at two time-points six months apart