Table 3.
Correlations between SVIs for diabetes search terms and country specific characteristics (i.e., diabetes prevalence, internet usage, number of physicians, and GDP).
| Country-specific characteristics | Search Terms | r | p-value |
|---|---|---|---|
| Diabetes prevalence | “diabetes" | 0.229 | 0.155 |
| “type 1 diabetes" | −0.096 | 0.555 | |
| “type 2 diabetes" | −0.337 | 0.033 | |
| “gestational diabetes" | 0.134 | 0.561 | |
| Individuals using the Internet (% of population) | “diabetes" | −0.512 | <0.001 |
| “type 1 diabetes" | 0.589 | <0.001 | |
| “type 2 diabetes" | 0.434 | 0.005 | |
| “gestational diabetes" | 0.516 | 0.017 | |
| Physicians (per 1000 people) | “diabetes" | −0.176 | 0.279 |
| “type 1 diabetes" | 0.146 | 0.368 | |
| “type 2 diabetes" | 0.171 | 0.29 | |
| “gestational diabetes" | 0.754 | <0.0001 | |
| GDP (current US$) | “diabetes" | −0.327 | 0.039 |
| “type 1 diabetes" | 0.392 | 0.012 | |
| “type 2 diabetes" | 0.246 | 0.126 | |
| “gestational diabetes" | 0.268 | 0.24 |