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. Author manuscript; available in PMC: 2018 Nov 12.
Published in final edited form as: Soc Sci (Basel). 2017 Sep 9;6(3):108. doi: 10.3390/socsci6030108

Table 2.

Differences in independent predictors for participants reporting no health matters network ties to those with one or more ties

No Health Matters Ties 1+ Health Matters Ties Test Statistic 1

N Mean/Prop. N Mean/Prop.
Demographics
  Age (tens of years) 75 38.32 269 34.65 **
  Married/Living as Married 2 6 8.00 % 43 15.99 % *
  Income (tens of thousands) 75 10.77 266 10.62
  Education (years) 75 12.09 269 11.87
Criminal Justice Status
  Prison 30 40.00 % 107 39.78 %
  Probation 32 42.67 % 89 33.09 %
Substance Use
  Alcohol Use to Intoxication 52 69.33 % 223 83.90% **
  Crack/Cocaine Use 18 24.00 % 45 16.73 %
  Daily Tobacco Use 47 62.67 % 150 56.18 %
Physical Health
  BMI 75 31.82 268 32.06
  Exercise (days/week) 75 4.04 268 3.61
Other Health Status
  Depression (2 weeks +) 22 29.33 % 51 19.03 % *
  Overnight Hospital Stay 12 16.00 % 19 7.09 % *
Total Observations 75 21.80 % 269 78.20 %
*

= p < 0.05;

**

= p < 0.01;

***

= p < 0.001.

1

Test statistics examined include the Wicoxon-Mann-Whitney test statistic calculated for interval or ordinal variables, while Chi-square and Fisher’s exact test are calculated for categorical variables.

2

Marital status is significantly different between participants reporting no HM ties and one or more HM ties only according to the Fisher’s exact test, which is appropriate for small sample sizes; the chi-square test is not significant for marital status.