Morbidity from intentional self-harm among Pacific peoples in New Zealand 1996-2015

Jemaima Tiatia-Seath1, Roy Lay-Yee2, Martin von Randow2

  • 1Te Wananga o Waipapa, School of Māori Studies and Pacific Studies, University of Auckland, Auckland.

Insights

Intentional self-harm trends among Pacific peoples in New Zealand show persistent disparities. This 19-year study highlights ethnic, socioeconomic, gender, and age variations, indicating priority areas for targeted interventions.

Area of Science:

  • Public Health
  • Epidemiology
  • Sociology

Background:

  • Intentional self-harm (ISH) is a significant public health concern globally.
  • Data specific to Pacific peoples in New Zealand regarding ISH trends have been limited.
  • Understanding ethnic and demographic variations is crucial for effective health interventions.

Purpose of the Study:

  • To describe trends in intentional self-harm (ISH) among Pacific peoples in New Zealand from 1996 to 2015.
  • To identify ethnic-specific patterns and disparities in ISH events within the Pacific population.
  • To provide data for developing targeted interventions for diverse Pacific ethnic groups.

Main Methods:

  • Analysis of publicly funded hospitalisation data for intentional self-harm events.
  • Examination of a 19-year period (1996-2015) of national data.
  • Identification and presentation of key areas of interest related to ISH trends.

Main Results:

  • A total of 1,608 intentional self-harm events were recorded for Pacific peoples between 1996 and 2015.
  • Pacific peoples accounted for 2.8% of all national intentional self-harm events during the study period.
  • Significant differences in ISH experiences were observed between various Pacific ethnic groups.

Conclusions:

  • This study provides 19 years of previously unavailable ethnic-specific data on intentional self-harm for Pacific peoples in New Zealand.
  • Persistent disparities in intentional self-harm exist between Pacific and non-Pacific populations, as well as among different Pacific ethnic groups.
  • Findings highlight priority areas for targeted interventions based on ethnicity, socioeconomic status, gender, and age variations.
Abstract

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