Table 2 Physical activity patterns of participating youths before and after COVID-19 lockdown.

From: Impact of COVID-19 lockdown on activity patterns and weight status among youths in China: the COVID-19 Impact on Lifestyle Change Survey (COINLICS)

Variable

Mean ± standard deviation

High school students

Undergraduate students

Graduate students

All

Male (n = 678)

Female (n = 2146)

Total (n = 2824)

Male (n = 2106)

Female (n = 4918)

Total (n = 7024)

Male (n = 68)

Female (n = 166)

Total (n = 234)

Grand total (n = 10,082)

Physical activity (days/week)

Active transport for commuting/errands

 Pre-lockdown

0.6 ± 1.8

0.7 ± 1.7

0.6 ± 1.7

1.2 ± 2.5

1.6 ± 2.7

1.5 ± 2.6

3.1 ± 4.1

2.9 ± 3.1

2.9 ± 3.4

1.3 ± 2.5

 Post-lockdown

0.4 ± 1.5***

0.6 ± 1.5*

0.5 ± 1.5**

0.8 ± 2***

1.1 ± 2.1***

1 ± 2.1***

1.9 ± 3.5*

1.8 ± 2.7***

1.8 ± 3***

0.9 ± 0.2***

Housework activity

 Pre-lockdown

1.5 ± 3.1

2.5 ± 3.8

2.3 ± 3.6

1.8 ± 3.2

2.5 ± 3.5

2.3 ± 3.4

1.3 ± 2.6

1.5 ± 2.5

1.5 ± 2.6

2.3 ± 3.5

 Post-lockdown

1 ± 2.6***

2.1 ± 3.5***

1.8 ± 3.3***

1.3 ± 2.9***

2.3 ± 3.5**

2 ± 3.4***

1.4 ± 3

2.4 ± 3.2***

2.1 ± 3.2**

1.9 ± 3.4***

Moderate to vigorous physical activity

 Pre-lockdown

0.7 ± 2.0

0.4 ± 1.6

0.5 ± 1.7

0.9 ± 2.3

0.7 ± 2.0

0.8 ± 2.1

0.5 ± 1.2

0.7 ± 1.6

0.6 ± 1.5

0.7 ± 2.0

 Post-lockdown

0.5 ± 1.7*

0.4 ± 1.6

0.4 ± 1.7*

0.5 ± 1.8***

0.8 ± 2.2*

0.7 ± 2.1

0.2 ± 0.7

1.0 ± 2.7

0.8 ± 2.3

0.7 ± 2.0*

Walking for leisure

 Pre-lockdown

0.5 ± 1.4

0.7 ± 1.7

0.6 ± 1.6

1 ± 2

1.3 ± 2.2

1.2 ± 2.1

1.5 ± 2.3

1.7 ± 2.3

1.6 ± 2.3

1.0 ± 2.0

 Post-lockdown

0.3 ± 1.1***

0.5 ± 1.4***

0.4 ± 1.3***

0.6 ± 1.6***

0.9 ± 1.9***

0.8 ± 1.8***

1.1 ± 2.1

1.4 ± 2.1

1.3 ± 2.1

0.7 ± 1.7***

Sedentary time (h/day)

During workdays

 Pre-lockdown

3.7 ± 2.9

4.2 ± 2.8

4.1 ± 2.9

4.1 ± 2.9

4.3 ± 2.8

4.2 ± 2.9

5.9 ± 3.7

6.2 ± 2.9

6.1 ± 3.1

4.2 ± 2.9

 Post-lockdown

4.5 ± 7.1***

5.2 ± 4.2***

5.1 ± 5.1***

5.8 ± 3.2

5.7 ± 3.2

5.4 ± 3.2

6.7 ± 3.9

6.2 ± 2.8

6.3 ± 3.2

5.3 ± 3.2***

During weekends

 Pre-lockdown

3.8 ± 3.0

4.1 ± 2.8

4.0 ± 2.9

4.1 ± 3.0

4.4 ± 2.9

4.3 ± 2.9

5.7 ± 3.8

5.6 ± 2.9

5.6 ± 3.2

4.3 ± 2.9

 Post-lockdown

4.5 ± 6.9

4.9 ± 3.6***

4.8 ± 4.6***

4.8 ± 3.2

5.4 ± 3.1**

5.2 ± 3.2

6.6 ± 3.9

5.9 ± 2.7*

6.1 ± 3.1**

5.1 ± 3.2***

Sleeping time (h/day)

During workdays

 Pre-lockdown

7.2 ± 3.2

7.6 ± 3.2

7.5 ± 3.2

6.8 ± 3.0

7.6 ± 2.6

7.4 ± 2.8

6.7 ± 2.8

7.4 ± 2.0

7.3 ± 2.2

7.4 ± 2.9

 Post-lockdown

7.3 ± 6.7

7.8 ± 3.8

7.7 ± 4.7

7.3 ± 15.1

7.7 ± 3.2

7.5 ± 8.7

7.1 ± 3.7

7.5 ± 2.3

7.4 ± 2.8

7.6 ± 7.7***

During weekends

 Pre-lockdown

7.5 ± 3.5

8.1 ± 3.4

8.0 ± 3.4

7.2 ± 3.2

8.2 ± 2.9

7.9 ± 3.0

6.9 ± 2.9

8.0 ± 2.3

7.7 ± 2.5

7.9 ± 3.1

 Post-lockdown

7.8 ± 6.7

8.3 ± 4.9

8.2 ± 5.4

7.6 ± 15.1

8.1 ± 3.3**

8 ± 8.7

7.1 ± 3.1

7.9 ± 2.3

7.6 ± 2.6

8.0 ± 7.8***

Screen time (h/day)

 Pre-lockdown

4.5 ± 1.9

4.8 ± 1.9

4.7 ± 1.9

4.9 ± 2

5 ± 1.9

5 ± 1.9

5.3 ± 1.9

5.1 ± 1.7

5.2 ± 1.7

4.9 ± 1.9

 Post-lockdown

4.5 ± 2

5.5 ± 2.1***

5.3 ± 2.1***

5.4 ± 2.2***

5.9 ± 2.2***

5.8 ± 2.2***

5.3 ± 2.1

5.3 ± 1.9*

5.3 ± 1.9

5.6 ± 2.2***

  1. *Values under a given variable were shown in bold, if the difference across education levels (High school students, Undergraduate students, Graduate students) within the overall population (Total) or within a given sex (Male, Female) was significant (p < 0.05); shown in italic, if the difference between sexes within a given education level was significant (p < 0.05); and marked by asterisks, if the difference before and after COVID-19 lockdown within a given education level and sex was significant (*p < 0.05, **p < 0.01, ***p < 0.001). p values were based on χ2 tests for categorical variables or t-tests/AVONA for continuous variables.
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