Factors associated with mental health outcomes in a Muslim community following the Christchurch terrorist attack
2024

Mental Health Outcomes in a Muslim Community After the Christchurch Terrorist Attack

Sample size: 189 publication 10 minutes Evidence: high

Author Information

Author(s): Caroline Bell, Ruqayya Sulaiman-Hill, Tanveer Sandila, Richard Porter, Shaystah Dean, Philip J. Schluter, Ben Beaglehole, Joseph M. Boden

Primary Institution: Department of Psychological Medicine, University of Otago Christchurch, New Zealand

Hypothesis

What factors are associated with mental health outcomes in the Muslim community following the Christchurch terrorist attack?

Conclusion

The study found that a significant portion of the Muslim community experienced mental health disorders following the attacks, with specific factors like bereavement and injury increasing the risk.

Supporting Evidence

  • 61% of participants had at least one mental disorder since the attacks.
  • Those bereaved had greater odds of PTSD and depression.
  • Injured survivors had the highest odds of PTSD.
  • Comorbidity of mental health disorders was common.
  • Prior exposure to trauma was linked to higher rates of PTSD.
  • Female participants had higher rates of anxiety disorders.
  • Community engagement was a key aspect of the study design.
  • Findings suggest generalizability of mental health outcomes after terror attacks.

Takeaway

After a terrible attack on their community, many Muslims in Christchurch felt very sad or anxious. Losing loved ones or being hurt made it even harder for them.

Methodology

The study used a mixed-methods design, including diagnostic interviews and self-report measures, to assess mental health outcomes in the Muslim community after the attacks.

Potential Biases

Potential under-reporting of prior trauma due to cultural concerns and the absence of a control group may affect the findings.

Limitations

The study lacked a control group and relied on community engagement for participant recruitment, which may introduce selection bias.

Participant Demographics

{"mean_age":41,"gender_distribution":{"female":60,"male":40},"ethnic_origin":["Afghanistan","Middle East","India","Africa","Pakistan","Bangladesh","South East Asia","Europe and Others"],"education":{"tertiary_qualification":73}}

Statistical Information

P-Value

{"bereaved":"<0.01","injured_survivor":"<0.001","non_injured_survivor":"<0.01","depression_bereaved":"<0.001","depression_injured":"0.04"}

Confidence Interval

{"bereaved":"95% CI 1.75–10.49","injured_survivor":"95% CI 4.70–69.60","non_injured_survivor":"95% CI 1.99–13.89","depression_bereaved":"95% CI 2.49–13.46","depression_injured":"95% CI 1.07–18.28"}

Digital Object Identifier (DOI)

10.1192/bjo.2024.774

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