Table 3.

Demographic Variables and Attitudes and Intentions to Use Technology in Diabetes Management.

	Internet Attitude	Mobile Phone Attitude	Intended Use Internet	Intended Use Mobile Phone	Technology Attitudes	Intended Use Technology
Age	−.352*	−.458**	−.314*	−.473**	−.432**	−.425**
Education level	.020	.120	−.003	.262	.129	.077
Gendera	.016	−.50	−.183	−.132	−.052	−.194
Working statusa	.61	.013	.041	.179	.030	.160
Length of diabetes	−.169	−.330*	−.132	−.270	−.239	−.176
Confidence in using technologies	.799**	.549**	.698**	.695**	.745**	.748**

Correlations between variables and confidence in using technologies were associated with attitudes or intentions to use the Internet or mobile applications in self management. Aggregated calculations were performed to determine overall attitudes toward and intentions to use assistive technologies in self-management. Continuous variables used the Pearson product correlation value, while categorical variables used Spearman’s rho.

^aCorrelation calculated using Spearman’s rho.

^*Correlation is significant at the .05 level (1-tailed). **Correlation is significant at the .01 level (1-tailed).