Journal of forensic nursing · 2024
Factors Associated With Elder Abuse According to the Levels of Social Determinants in Brazil.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
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de Araújo Monteiro Gleicy Karine Nascimento, Dos Santos Renata Clemente, de Moraes Brandão Wesley Ferreira, Costa Gabriela Maria Cavalcanti, de Almeida Ana Maria, Souto Rafaella Queiroga
Аннотация
OBJECTIVE: The aim of this study was to analyze the factors associated with elder abuse according to the levels of social determinants.
METHODOLOGY: This is a quantitative and multicentric study, with a cross-sectional cut. It was developed in two teaching hospitals in Paraíba, Brazil, with 323 older adults, from July 2019 to February 2020. Data were collected using the Hwalek-Sengstock Elder Abuse Screening Test and Conflict Tactics Scale-1 and then analyzed using descriptive and inferential statistics.
RESULTS: There was a significant association between risk for violence and female gender ( p = 0.004), residing with grandchildren ( p = 0.025), and having four or more comorbidities ( p < 0.00). Physical violence was associated with income ( p = 0.048). A positive correlation was observed between the number of comorbidities and the risk for violence score ( p < 0.001), psychological violence ( p = 0.004), and physical violence ( p = 0.005). The probability of presenting a risk to violence increased by 2.08 times for women, 1.03 times for those who were illiterate, and 7.03 times for those with four or more comorbidities.
CONCLUSION: The social determinants of health that integrate the macrosystem, such as income and number of comorbidities, correlate with situations of violence.
METHODOLOGY: This is a quantitative and multicentric study, with a cross-sectional cut. It was developed in two teaching hospitals in Paraíba, Brazil, with 323 older adults, from July 2019 to February 2020. Data were collected using the Hwalek-Sengstock Elder Abuse Screening Test and Conflict Tactics Scale-1 and then analyzed using descriptive and inferential statistics.
RESULTS: There was a significant association between risk for violence and female gender ( p = 0.004), residing with grandchildren ( p = 0.025), and having four or more comorbidities ( p < 0.00). Physical violence was associated with income ( p = 0.048). A positive correlation was observed between the number of comorbidities and the risk for violence score ( p < 0.001), psychological violence ( p = 0.004), and physical violence ( p = 0.005). The probability of presenting a risk to violence increased by 2.08 times for women, 1.03 times for those who were illiterate, and 7.03 times for those with four or more comorbidities.
CONCLUSION: The social determinants of health that integrate the macrosystem, such as income and number of comorbidities, correlate with situations of violence.