Preventing and coping with domestic violence against women: analysis of Violencemeter variables

This study aimed to carry out the inferential analysis of the Violencemeter, identifying the most significant variables for the occurrence of domestic violence against women. This is an applied research, population-based, cross-sectional and quantitative in nature, developed in 52 Basic Health Units. The sample consisted of 563 women. The following eligibility criteria were used: women over 18 years of age who sought care at Basic Health Units during the data collection period and agreed to participate in the study. For the analysis of quantitative data, descriptive and inferential statistics were used, as well as a logistic regression model and the WoE binary classification model. The model used demonstrated that the Violencemeter variables with the greatest weight in identifying the occurrence of domestic violence were: ridiculing/offending, intimidating/threatening, disqualifying, humiliating in public, blackmailing, offensive jokes, jealousy, hurting, pushing, slapping, destroying personal property, slapping/tapping and threatening with objects. Thus, the Violencemeter presented itself as a powerful tool in combating domestic violence against women.