Table 2. Association of sociodemographic and clinical characteristics in a univariate and multivariate linear model to predict the score of the Spoken Knowledge in Low Literacy Patients with Diabetes.
| Characteristics | Without adjustment | With adjustment* | ||
|---|---|---|---|---|
|
|
|
|||
| Coefficient | p value | Coefficient | p value | |
| Age, years | -0.070 | <0.063 | ||
| Sex, female | -0.825 | <0.099 | ||
| Race, White | -0.305 | <0.509 | ||
| Schooling, years | 0.232 | <0.001 | 0.193 | 0.003 |
| Socioeconomic class (CCEB) | 0.070 | <0.063 | ||
| Blue-Collar Worker | -0.870 | <0.058 | 0.430 | 0.350 |
| Marital status, married | 0.483 | <0.031 | ||
| Help with medication | -0.538 | <0.469 | ||
| Symptoms of depression (GDS-15) | -0.095 | <0.265 | ||
| Use of insulin | 1.432 | <0.003 | 1.326 | 0.004 |
| Duration of diabetes, years | 0.071 | <0.005 | 0.053 | 0.022 |
| Health literacy (SAHLPA-18) | 0.182 | <0.001 | 0.108 | 0.021 |
| HbA1c | 0.248 | <0.138 | ||
R2=0.273; p<0.001. adjusted for: scholling, blue collar worker, use of insulin, duration of diabetes, SAHLPA-18 score; Variance analysis test (ANOVA) to compare statistical significance of the models. CCEB: Critério de Classificação Econômica Brasil; GDS-15: Geriatric Depression Scale 15 questions; SAHLPA-18: Short Assessment of Health Literacy for Portuguese-speaking Adults-18; HbA1c: glycosylated hemoglobin.