scholarly journals Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)

2018 ◽  
Author(s):  
George Karystianis ◽  
Armita Adily ◽  
Peter Schofield ◽  
Lee Knight ◽  
Clara Galdon ◽  
...  
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Text Mining ◽  
Mental Health Disorders ◽  
Automatic Extraction ◽  
Health Disorders

scholarly journals Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study

10.2196/13007 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e13007 ◽  
Author(s):  
George Karystianis ◽  
Armita Adily ◽  
Peter Schofield ◽  
Lee Knight ◽  
Clara Galdon ◽  
...  
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Text Mining ◽  
Mental Health Disorders ◽  
Automatic Extraction ◽  
Health Disorders

scholarly journals Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study

10.2196/11548 ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. e11548 ◽  
Author(s):  
George Karystianis ◽  
Armita Adily ◽  
Peter Schofield ◽  
Lee Knight ◽  
Clara Galdon ◽  
...  
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Text Mining ◽  
Mental Health Disorders ◽  
Automatic Extraction ◽  
Health Disorders

scholarly journals Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)

2018 ◽  
Author(s):  
George Karystianis ◽  
Armita Adily ◽  
Peter Schofield ◽  
Lee Knight ◽  
Clara Galdon ◽  
...  
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Text Mining ◽  
Large Scale ◽  
New South ◽  
New South Wales ◽  
Mental Health Disorders ◽  
Free Text ◽  
South Wales ◽  
Health Disorders

BACKGROUND Vast numbers of domestic violence (DV) incidents are attended by the New South Wales Police Force each year in New South Wales and recorded as both structured quantitative data and unstructured free text in the WebCOPS (Web-based interface for the Computerised Operational Policing System) database regarding the details of the incident, the victim, and person of interest (POI). Although the structured data are used for reporting purposes, the free text remains untapped for DV reporting and surveillance purposes. OBJECTIVE In this paper, we explore whether text mining can automatically identify mental health disorders from this unstructured text. METHODS We used a training set of 200 DV recorded events to design a knowledge-driven approach based on lexical patterns in text suggesting mental health disorders for POIs and victims. RESULTS The precision returned from an evaluation set of 100 DV events was 97.5% and 87.1% for mental health disorders related to POIs and victims, respectively. After applying our approach to a large-scale corpus of almost a half million DV events, we identified 77,995 events (15.83%) that mentioned mental health disorders, with 76.96% (60,032/77,995) of those linked to POIs versus 16.47% (12,852/77,995) for the victims and 6.55% (5111/77,995) for both. Depression was the most common mental health disorder mentioned in both victims (22.30%, 3258) and POIs (18.73%, 8918), followed by alcohol abuse for POIs (12.24%, 5829) and various anxiety disorders (eg, panic disorder, generalized anxiety disorder) for victims (11.43%, 1671). CONCLUSIONS The results suggest that text mining can automatically extract targeted information from police-recorded DV events to support further public health research into the nexus between mental health disorders and DV.

scholarly journals The specific and combined role of domestic violence and mental health disorders during pregnancy on new-born health

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Alexandre Archanjo Ferraro ◽  
Luis Augusto Rohde ◽  
Guilherme Vanoni Polanczyk ◽  
Adriana Argeu ◽  
Euripides Constantino Miguel ◽  
...  
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Mental Health Disorders ◽  
New Born ◽  
Health Disorders

Mental Health Disorders and Functioning of Women in Domestic Violence Shelters

2008 ◽  
Vol 23 (4) ◽  
pp. 437-453 ◽  
Author(s):  
Christine A. Helfrich ◽  
Glenn T. Fujiura ◽  
Violet Rutkowski-Kmitta
Keyword(s):  
Mental Health ◽  
Domestic Violence ◽  
Mental Health Disorders ◽  
Domestic Violence Shelters ◽  
Health Disorders

scholarly journals Risk Factors of Domestic Violence in Pregnancy and its Correlation with Mental Health Disorders

2021 ◽  
Vol 2 (4) ◽  
pp. 94-99
Author(s):  
Nadia Khoirunnisa Pasaribu
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Domestic Violence ◽  
Mental Health Problems ◽  
Maternal Mental Health ◽  
Mental Health Disorders ◽  
World Health ◽  
High Risk Population ◽  
Health Disorders ◽  
In Pregnancy

ABSTRACT   Domestic violence during pregnancy is a neglected & underreported problem having grave consequences. The world health organization (WHO) defines domestic violence as “the range of sexually, psychologically and physically coercive acts used against adult and adolescent women by current or former male intimate partners”. Physical & verbal abuse during pregnancy is a frequent phenomenon encountered by women of both developed and underdeveloped country, belonging to all cultural communities. There is a strong evidence that domestic violence is related to maternal mental health disorders. The aim of this literature study is to find the best available research evidence on risk factors of domestic violence in pregnancy and its correlation to mental health disorders. To achieve the goal of this study, researcher searched for all studies published between January 2010 until August 2021 using the databases such as google scholar and PubMed. The inclusion criteria were studies that describe risk factors of domestic violence in pregnancy and its correlation with maternal mental health and written in English languange. Condition such as mental retardation, substance abuse and pre-existing mental health problems before were excluded from this study. After a long review of the titles and abstracts of 358 studies, 20 studies were identified for potential inclusion in the review. In the end, a total of 10 trials that fulfil researcher criteria were used in this literature review. The number of participants in each study varied, ranged from 300 to 1000 and the characteristics of the sample are similar. Domestic violence against women and mental disorders amongst pregnant women are extremely prevalent in under-resourced, urban areas and ultimately, have detrimental effects on birth outcomes. Mental health disorders are significantly associated with having experienced domestic violence in pregnancy. High risk population needs to be identified so that preventive strategies can be planned & implemented to stop the violence and improve mental health during pregnancy.

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