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Dr Annie Bunce receives award at Lancet Public Health Science conference

Dr Annie Bunce

Dr Annie Bunce, VISION Research Fellow, was awarded Best Oral Presentation at the Lancet Public Health Science conference in London this November. She presented on the Prevalence, nature and associations of workplace bullying and harassment with mental health conditions in England: a cross-sectional probability sample survey.

Annie’s research, conducted with VISION colleagues Ladan Hashemi, Sally McManus, and others, presents the first nationally representative findings on the prevalence of workplace bullying and harassment in England for over a decade. Annie analysed data from the 2014 Adult Psychiatric Morbidity Survey (APMS) to demonstrate: the prevalence of workplace bullying and harassment (WBH) in the working population in England; the nature of WBH experienced, who it was perpetrated by and the types of behaviour it involved; and associations between the experience of WBH and indicators of adverse mental health.

The study is unique in that the APMS makes robust assessments of mental health – operationalising diagnostic criteria – which provides an accurate assessment of clinical need. Implications for employers, policymakers, health services and researchers are outlined.

For the article, please see: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(23)02066-4/fulltext

Please contact Annie at annie.bunce@city.ac.uk for further information.

Photo by Icons8 Team on Unsplash

Disclosing domestic violence on Reddit during the pandemic

Domestic violence (DV) is a huge social issue and during the COVID-19 pandemic, DV and intimate partner violence (IPV) increased. Frequently imposed quarantine increased contact between perpetrators and victims, potentially leading to underlying increases in the occurrence of violence at home.

Social media sites such as Reddit represent an alternative outlet for disclosing experiences of violence where healthcare access has been limited. This study analysed seven violence-related subreddits to investigate different violence patterns from January 2018 to February 2022, developing a new perspective and methodology for violence research. Specifically, we collected violence-related texts from Reddit using keyword searching and identified six major types of violence with supervised machine learning classifiers: DV, IPV, physical violence, sexual violence, emotional violence, and nonspecific violence or others. Among IPV-related posts, the number with COVID-related keywords was highest in the middle-pandemic phase.

The findings highlight the importance of the role of social media as a platform for disclosing and describing experiences of violence and support the role of social media site monitoring as a means of informative surveillance for help-providing authorities and violence research groups.

For further information please see: Characterizing the Differences in Descriptions of Violence on Reddit During the COVID-19 Pandemic – Lifang Li, Lilly Neubauer, Robert Stewart, Angus Roberts, 2023 (sagepub.com)

Or contact Lifang at lifang.li@kcl.ac.uk or Angus at angus.roberts@kcl.ac.uk

Photo by Philipp Katzenberger on Unsplash

Intimate partner violence: Factor in chronic health problems

Intimate partner violence (IPV) is increasingly recognised as a contributing factor for long-term health problems; however, few studies have assessed these health outcomes using consistent and comprehensive IPV measures or representative population-based samples. Health implications of IPV against men is also relatively underexplored.  Given the gendered differences in IPV exposure patterns, exploration of gender patterns in men’ and women’s IPV exposure and health outcomes is needed.

We used data from the 2019 New Zealand Family Violence Study, a cross-sectional population-based study of ~2,800 ever-partnered women and men which was conducted across 3 regions of New Zealand.

We found that women’s exposure to any lifetime IPV, as well as specific IPV types (physical, sexual, psychological, controlling behaviors, and economic abuse), was associated with increased likelihood of reporting adverse health outcomes (poor general health,  recent pain or discomfort, recent health care consultation, any diagnosed physical and mental health condition). Furthermore, a cumulative pattern was observed that is women who experienced multiple IPV types were more likely to report poorer health outcomes.

Regarding men exposure to IPV, we found that while men’s exposure to IPV was associated with increased likelihood of reporting 4 of the 7 assessed poor health outcomes, specific IPV types were inconsistently associated with poor health outcomes. Experience of a higher number of IPV types among men did not show a clear stepwise association with number of health outcomes. These findings indicate that IPV against men, unlike women, does not consistently contribute to their poor health outcomes at the population level.  

In sum, our findings warrant gender-appropriate clinical approaches when IPV is identified. Specifically, health care systems need to be mobilized to address IPV as a priority health issue among women. However, these findings do not warrant routine inquiry for IPV against men in clinical settings, although appropriate care is needed if IPV against men is identified.

For further information please see: Association Between Men’s Exposure to Intimate Partner Violence and Self-reported Health Outcomes in New Zealand | Global Health | JAMA Network Open | JAMA Network and Association Between Women’s Exposure to Intimate Partner Violence and Self-reported Health Outcomes in New Zealand | Intimate Partner Violence | JAMA Network Open | JAMA Network

Or contact Dr Ladan Hashemi at ladan.hashemi@city.ac.uk

Mental health and wellbeing data – webinar for researchers

This webinar focused on quantitative analysis of secondary data, to provide insight into population mental health and its social determinants. It took place on Teams Monday, 6 March 2023, at 14:00-15:30.

Speakers included VISION researcher Sally McManus, who discussed England’s main mental health survey, the Adult Psychiatric Morbidity Survey (APMS). The survey series covers anxiety and depression, alongside items on violence and abuse.

This webinar formed part of a series organised by Understanding Society, UK Data Service, Centre for Longitudinal Studies (CLS) and the National Centre for Research Methods (NCRM). The Data Resource Training Network is a collaboration between a number of ESRC-funded resource centres working together to promote the value and use of social science data.

Photo credit: Photo by Erol Ahmed on Unsplash