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Table 5 Distribution of profile membership by sociodemographic characteristics and technology use

From: Internet access is a necessity: a latent class analysis of COVID-19 related challenges and the role of technology use among rural community residents

 

Class 1 (35%)

Class 2 (32%)

Class 3 (14%)

Class 4 (19%)

 

Social Challenges

Social & Health Challenges

Social & Financial Challenges

Social, Health, Financial, and Daily Living Challenges

χ2 (df), sig

Age

 19–35

35.1%

24.6%

14.0%

26.3%

12.56(6), p = 0.05

 36–54

28.7%

29.8%

21.3%

20.2%

 55+

41.8%

35.9%

8.7%

13.6%

Race/Ethnicitya

 Indigenous

19.4%

41.7%

8.3%

30.6%

18.56(6), p = 0.01

 Caucasian

38.3%

31.6%

16.3%

13.9%

 Other responses

37.0%

14.8%

11.1%

37.0%

Gender

 Male

43.7%

28.2%

9.9%

18.3%

3.34(3), p = 0.34

 Female

32.5%

33.0%

15.2%

19.3%

Disability

 Yes

13.5%

40.5%

8.1%

37.8%

18.74(3), p < 0.001

 No

39.4%

31.2%

15.5%

13.9%

Enough connected devicesa

 Yes

37.6%

31.0%

14.8%

16.5%

9.50(3), p = 0.03

 No

18.8%

31.3%

12.5%

37.5%

Technology use to connect with people

 More use

31.8%

37.4%

15.2%

15.7%

12.46(3), p = 0.006

 Same or less use

47.7%

15.4%

13.9%

23.1%

Technology use to get information

 More use

26.2%

39.3%

16.6%

17.9%

15.02(3), p = 0.002

 Same or less use

47.5%

22.0%

12.7%

17.8%

  1. 100% adds up across Classes. Total N = 278. Number of responses missing by sociodemographic characteristic: age (n = 24); gender (n = 10); race/ethnicity (n = 6); disability (n = 7); connected devices (n = 4)
  2. aDue to small cell size, Fisher’s exact test were used to estimate significance level