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Table 1 Association of older adults’ demographic characteristics and Internet use

From: Internet use and physical activity of older adults during the COVID-19 pandemic: a cross-sectional study in a northern Japanese City

 

Non-Internet Users

Internet Users

p-value for difference

 

(n = 590)

(n = 458)

Age (years)

76.8 ± 6.3

71.3 ± 5.0

<  0.001

Women (%)

357 (60.5)

200 (43.7)

<  0.001

Self-reported health (%)

<  0.001

 Good

463 (78.5)

404 (88.2)

 

 Poor

127 (21.5)

54 (11.8)

 

Smoking status (%)

0.78

 Non-smoker

532 (90.2)

410 (89.5)

 

 Current smoker

58 (9.8)

48 (10.5)

 

Educational background (%)

<  0.001

  < High school

503 (85.3)

288 (62.9)

 

  > High school

87 (14.7)

170 (37.1)

 

Economic status (%)

0.45

 Normal to good

487 (82.5)

386 (84.3)

 

 Poor

103 (17.5)

72 (15.7)

 

Depression (%)

<  0.001

 No

285 (48.3)

287 (62.7)

 

 Yes

305 (51.7)

171 (37.3)

 

Social participation (%)

<  0.001

 No

217 (36.8)

86 (18.8)

 

 Yes

373 (63.2)

372 (81.2)

 

Living alone (%)

0.011

 No

487 (82.5)

404 (88.2)

 

 Yes

103 (17.5)

54 (11.8)

 

METs of physical activity (METsï½¥minutes/week)

 Vigorous intensity

991.8 ± 2073.9

1324.3 ± 2373.6

0.016

 Moderate intensity

607.5 ± 1075.5

993.3 ± 1231.7

<  0.001

 Walking

687.9 ± 964.3

797.4 ± 948.0

0.066

 Total physical activity

2287.2 ± 3343.7

3115.0 ± 3572.4

<  0.001

 Sitting time (minutes/day)

278.8 ± 199.5

275.5 ± 194.2

0.79

  1. Variables are presented as the mean ± standard deviation or as number (%) of participants in that category. Student’s t-test, chi-squared test was used to compare participant characteristics between internet use