B4184 - Gender-based violence over the life course using cohort data from the Avon Longitudinal Study of Parents and Children - 19/12/2022

B number: 
B4184
Principal applicant name: 
Emmanuela Gakidou | Institute for Health Metrics and Evaluation, University of Washington (USA)
Co-applicants: 
Caroline Stein, Jack Cagney, Mariam Khalil, Cory N Spencer, Molly E Herbert, Alejandra Arrieta, Julia Hon
Title of project: 
Gender-based violence over the life course using cohort data from the Avon Longitudinal Study of Parents and Children
Proposal summary: 

Gender-based violence (GBV) is a global public health problem. It is present in all ages and socioeconomic statuses. However, a better understanding of GBV over the life course and the long-term impact of violence exposure on health outcomes is still required. Therefore, the objective of this project is to evaluate and understand gender-based violence over the life course and the many factors involved in this violation of women's and children's human rights. To do this, we will use the ALSPAC cohort study, which include among others a range of both parent and self-reported questions related to gender-based violence, such as data on physical, psychological, and sexual violence occurring during different periods of life. Using this data, it will be possible to estimate (i) cumulative exposure to GBV; (ii) the intergenerational exposure to GBV; (ii) the differences in GBV considering gender, age, education, and income level; and (iv) the impact of violence exposure on health outcomes.

Impact of research: 
This research can impact future public health policies, providing a longitudinal perspective on gender-based violence. The results from this analysis can inform decision-makers on creating public health policies and implementing interventions in the community to prevent and stop gender-based violence in our society.
Date proposal received: 
Thursday, 8 December, 2022
Date proposal approved: 
Monday, 19 December, 2022
Keywords: 
Epidemiology, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Mental health, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Computer simulations/modelling/algorithms, Statistical methods, Childhood - childcare, childhood adversity, Gender-based violence, physical violence, sexual violence, psychological/emotional violence, life-course (multiple time series), perpetrator, location of violence