Logistic regression analysis
| Predictors | Crude | Adjusted* | ||
| PR (CI) | P value | PR (CI) | P value | |
| Sex of victim | ||||
| Male | Ref | Ref | Ref | Ref |
| Female | 0.33 (0.26 to 0.40) | 0.000 | 0.60 (0.47 to 0.78) | 0.000 |
| Marital status | ||||
| Never married | Ref | Ref | Ref | Ref |
| Married | 0.69 (0.47 to 1.03) | 0.066 | 1.06 (0.66 to 1.70) | 0.809 |
| Education | ||||
| No education | Ref | Ref | Ref | Ref |
| Primary | 1.17 (0.76 to 1.81) | 0.466 | 0.93 (0.59 to 1.49) | 0.773 |
| Secondary | 0.92 (0.59 to 1.42) | 0.706 | 1.05 (0.56 to 1.93) | 0.714 |
| A levels | 0.99 (0.56 to 1.75) | 0.974 | 2.24 (0.56 to 1.96) | 0.883 |
| Occupation | ||||
| Students | Ref | Ref | Ref | Ref |
| Agriculture | 1.45 (0.77 to 2.72) | 0.249 | 1.37 (0.70 to 2.67) | 0.362 |
| Business | 1.65 (0.88 to 3.10) | 0.120 | 1.74 (0.90 to 3.38) | 0.100 |
| Rickshaw/bus (transport worker) | 2.01 (0.83 to 4.86) | 0.109 | 1.28 (0.51 to 3.24) | 0.595 |
| Retired/unemployed/housewife | 0.95 (0.72 to 1.25) | 0.716 | 1.08 (0.78 to 1.51) | 0.636 |
| Socioeconomic Index | ||||
| Lowest | Ref | Ref | Ref | Ref |
| Low | 0.78 (0.58 to 1.05) | 0.107 | 0.73 (0.54 to 0.99) | 0.045 |
| Middle | 0.73 (0.55 to 0.98) | 0.038 | 0.63 (0.46 to 0.85) | 0.003 |
| High | 0.89 (0.67 to 1.18) | 0.408 | 0.76 (0.57 to 1.02) | 0.069 |
| Highest | 0.64 (0.47 to 0.88) | 0.005 | 0.61 (0.44 to 0.84) | 0.003 |
| District | ||||
| Sirajganj | Ref | Ref | Ref | Ref |
| Chandpur | 4.21 (2.37 to 7.49) | 0.000 | 7.30 (4.07 to 13.10) | 0.000 |
| Comilla | 6.36 (3.16 to 12.79) | 0.000 | 7.27 (3.56 to 14.84) | 0.000 |
| Sherpur | 0.98 (0.50 to 1.93) | 0.953 | 1.84 (0.93 to 3.66) | 0.081 |
| Narshindi | 1.82 (0.97 to 3.42) | 0.062 | 3.16 (1.67 to 6.00) | 0.000 |
| Place of Injury | ||||
| Home | Ref | Ref | Ref | Ref |
| School | 1.53 (1.10 to 2.13) | 0.011 | 1.19 (0.85 to 1.69) | 0.314 |
| Other playground | 1.14 (0.82 to 1.58) | 0.443 | 0.86 (0.61 to 1.22) | 0.398 |
| Roads/highway/railway station | 0.89 (0.70 to 1.14) | 0.364 | 0.67 (0.52 to 0.87) | 0.003 |
| Agricultural field | 0.66 (0.45 to 0.98) | 0.037 | 0.60 (0.40 to 0.89) | 0.012 |
| Workplace | 0.82 (0.48 to 1.39) | 0.457 | 0.55 (0.31 to 0.97) | 0.040 |
| Others† | 0.52 (0.33 to 0.81) | 0.004 | 0.39 (0.25 to 0.61) | 0.000 |
*Prevalence ratio (PR) from the logistic regression model was adjusted for sex, marital status, occupation, education, socioeconomic index, district and place of violence.
†Others include: industry, factory, workshop, market or bazaar, office, construction area, trees or cowshed.