Table 2.
Logistic Regression Model Predicting Lifetime Domestic/Family Violence Screening by a health care Provider†
| Covariates | OR (95% CI) | P-Value‡ |
|---|---|---|
| Sociodemographic variables | ||
| Age group | <0.001 | |
| <40 | 0.99 (0.67, 1.44) | 0.94 |
| 40–59 | 1 (reference) | N/A |
| 60+ | 0.33 (0.20, 0.54) | <0.001 |
| Ethnic group | 0.64 | |
| White | 1 (reference) | N/A |
| African American | 1.05 (0.51, 2.15) | 0.90 |
| Hispanic | 0.52 (0.18, 1.51) | 0.23 |
| Other | 1.17 (0.37, 3.67) | 0.79 |
| Marital status | <0.001 | |
| Married | 1 (reference) | N/A |
| Living with partner | 5.99 (2.66, 13.53) | <0.001 |
| Single, not living with partner | 1.63 (1.06, 2.51) | 0.03 |
| Income < poverty line | 0.99 (0.67, 1.46) | 0.95 |
| Education | 0.61 | |
| < High school | 1 (reference) | N/A |
| High school degree | 1.04 (0.56, 1.92) | 0.91 |
| College degree | 0.80 (0.39, 1.62) | 0.53 |
| Child under 12 years in home | 1.63 (1.10, 2.42) | 0.02 |
| Current health insurance | 1.44 (0.77, 2.70) | 0.25 |
| Living in rural area | 0.45 (0.27, 0.73) | 0.001 |
| Clinical variables | ||
| Chronic medical conditions | 0.12 | |
| None | 1 (reference) | N/A |
| One | 1.36 (0.72, 2.55) | 0.35 |
| Two or more | 1.56 (1.01, 2.40) | 0.04 |
| Probable mental health problem | 1.82 (1.23, 2.68) | 0.002 |
| Probable drug problem | 2.51 (0.98, 6.47) | 0.06 |
| Probable alcohol problem | 0.39 (0.17, 0.86) | 0.02 |
| Health care utilization in past 12 months | ||
| Primary care visit | 1.71 (1.06, 2.79) | 0.03 |
| Mental health specialist visit | 5.41 (3.49, 8.39) | <0.001 |
| Life stressors in past 12 months | ||
| Serious argument | 1.24 (0.86, 1.78) | 0.24 |
| Ended a relationship | 1.48 (0.89, 2.45) | 0.13 |
| Laid off or fired | 0.80 (0.25, 2.59) | 0.71 |
| Financial crisis | 1.28 (0.72, 2.28) | 0.39 |
| Witnessed someone beaten/killed | 7.00 (2.95, 16.62) | <0.001 |
†Data are from 4,821 women interviewed in Healthcare for Communities in 2000–2001. Due to missing data on some covariates, the model is based on 4,751 observations. Logistic regressions were adjusted for the complex sampling design and multiple imputations.
‡P-values are calculated from F-statistics derived from the estimated logistic models.
Each categorical variable with 3 or more categories (age group, ethnic group, marital status, education level, chronic medical condition) was tested by an omnibus test for the overall group effect.