Table 3.
Gender-specific estimates and linear regression coefficients for the association between 6th/7th-grade psychological distress and subsequent-year sexual harassment victimization among 4,718 middle school students in Kansas and Illinois
| Gender-specific estimates | b (95% CI) | p |
|---|---|---|
| Association between above-mean psychological distress and subsequent-year sexual harassment victimization score, girls | 0.25 (0.03, 0.47) | 0.030 |
| Association between above-mean psychological distress and subsequent-year sexual harassment victimization score, boys | 0.11 (−0.16, 0.39) | 0.440 |
| Linear regression coefficients for subsequent-year sexual harassment victimization | b (95% CI) | p |
|
| ||
| Psychological distress above mean, time t | 0.25 (0.03, 0.47) | 0.030 |
| Male x psychological distress above mean, time t | −0.14 (−0.48, 0.20) | 0.435 |
| Psychological distress, time t-1 (z score) | 0.03 (−0.10, 0.16) | 0.633 |
| Time-varying potential confounders | ||
| Sexual harassment victimization, time t (z score) | 1.24 (1.01, 1.46) | <0.001 |
| Sexual harassment victimization, time t-1 (z score) | 0.44 (0.25, 0.64) | <0.001 |
| Bullying victimization, time t (z score) | 0.02 (−0.14, 0.19) | 0.797 |
| Bullying victimization, time t-1 (z score) | 0.04 (−0.07, 0.16) | 0.477 |
| Gender (ref=female) | ||
| Male | −0.28 (−0.45, −0.12) | 0.001 |
| Race/ethnicity (ref=White) | ||
| Black or African American | 0.23 (−0.04, 0.49) | 0.116 |
| Hispanic or Latino/a/x | −0.27 (−0.45, −0.09) | 0.006 |
| Asian or Asian American | 0.14 (−0.36, 0.65) | 0.580 |
| Biracial or multiracial | 0.22 (−0.11, 0.54) | 0.212 |
| Baseline family context variables | ||
| Family functioning (z score) | −0.03 (−0.12, 0.06) | 0.489 |
| Parental monitoring (z score) | 0.04 (−0.03, 0.12) | 0.280 |
| Child abuse victimization index | 0.00 (−0.13, 0.13) | 0.969 |
| Second Step implementation (ref=school did not implement Second Step) | ||
| Attended school that implemented Second Step program | −0.11 (−0.25, 0.03) | 0.145 |
Note. Estimates are based on a repeated-measures linear generalized estimating equations model. Gender-specific estimates were calculated using the main effect and interaction terms for psychological distress from the linear regression model.