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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