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P.3.15 Suicide trends by occupation in south africa, 1997 to 2016
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  1. Tahira Kootbodien1,
  2. Kerry Wilson1,
  3. Nonhlanhla Tlotleng1,
  4. Nisha Naicker1,2
  1. 1National Institute for Occupational Health, Johannesburg, South Africa
  2. 2School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Abstract

Background The risk of suicide varies across occupations. However information is limited in South Africa. Surveillance data are vital to raise awareness of suicide risk for effective interventions in workplaces.

Method To assess trends in suicide-related mortality by occupation, we analysed underlying cause of death data and occupation information from vital registration data from Statistics South Africa. Suicide (X60-X84) was coded using the 10th Revision of the International Classification of Diseases (ICD-10). Occupation groups were based on the South African Standard Classification of Occupations (SASCO) groups: (1) managers, (2) professionals, (3) technicians, (4) clerks, (5) service workers, (6) skilled agricultural and fishery workers, (7) craft and related trade workers, (8) plant and machine operators and (9) elementary occupations. Multivariate logistic regression analyses were performed to calculate mortality odds ratios (MOR) for occupation groups in men and women, adjusting for age, year of death, education level, marital status and province of death.

Results The 20 year study examined 7 113 episodes of suicide in South Africa of all persons of working age from 1997 to 2016. Deaths by suicide increased from 1997 (n=93, 0.05%) to 2016 (n=389, 0.15%, nptrend, p<0.001). Among men, the risk of suicide was highest in skilled agricultural and fishery workers (MOR=3.0, 95% CI 1.75–5.16). Among women, risk of suicide were highest in skilled agricultural and fishery workers (MOR=2.7, 95% CI 1.03–6.84) and clerical workers (MOR=2.40, 95% CI 1.29–4.46).

Conclusion The results show that agricultural and fishery workers are at highest risk of suicide in men and women of working-age. There is a need for future studies to investigate explanations for the observed differences across occupations, particularly in people employed in lower skill-level groups.

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