Suicide Mortality Across Broad Occupational Groups in Greece: A Descriptive Study

Abstract

BackgroundSeveral studies have investigated the relationship between specific occupations and suicide mortality, as suicide rates differ by profession. The aim of this study was to investigate suicide mortality ratios across broad occupational groups in Greece for both sexes in the period 2000–2009.MethodsData of suicide deaths were retrieved from the Hellenic Statistical Authority and comparative mortality ratios were calculated. Occupational classification was based on the International Classification of Occupations (ISCO-88) and the coding for Intentional self-harm (X60–X84) was based on the international classification of diseases (ICD-10).ResultsMale dominant occupations, mainly armed forces, skilled farmers and elementary workers, and female high-skilled occupations were seen as high risk groups for suicide in a period of 10 years. The age-productive group of 30–39 years in Greek male elementary workers and the 50–59 age-productive group of Greek professional women proved to have the most elevated number of suicide deaths.ConclusionFurther research is needed into the work-related stressors of occupations with high suicide mortality risk and focused suicide prevention strategies should be applied within vulnerable working age populations.

Suicide among agricultural, forestry, and fishery workers: a systematic literature review and meta-analysis

“…Most of the studies included in the meta-analysis were conducted in English-speaking countries: including Australia and New Zealand (N=8) (20,29,35,39,49,50,52,58), the United States and Canada (N=8) (24,30,34,36,38,47,57,60), and the United Kingdom (N=5) (19,22,33,54,56). Others originated from European Nordic countries (N=5) (26,28,37,53,59), France (N=2) (51, 55), Japan (N=2) (23,31), and Greece (N=1) (25). One study was based on both French and Spanish samples (32).…”

“…The studies used different measures of association: one used CMR (25), three used PMR (19,22,54), eight used SMR (24,47,52,53,55,56,58,60), two used HR (26,59), three used OR (20,30,31) and nine used RR (23,28,29,32,33,(49)(50)(51)57). For five studies, we calculated OR and 95% CI and, for one study, we calculated RR and the 95% CI from raw data (34)(35)(36)(37)(38)(39).…”

“…The general population was the reference group in nine studies (19,24,34,39,47,52,53,55,56). Seven studies compared suicide among the agricultural, forestry, and fishery workers to all occupational groups, including the group of interest (22,25,49,54,57,58,60). Nine studies compared suicide mortality to all occupational groups, except agricultural, fishery and forestry workers (ie, all other occupational groups) (20,26,30,33,35,37,38,50,59).…”

Occupational risk factors affecting mental health of professionals with dangerous jobs (a review of foreign studies)

“…Было доказано, что непосредственное столкновение со смертью и жестокостью спо собствует формированию чувства вины, сты да, сожалений о совершенном и негативному восприятию себя [8]. Возрастной интервал 30-39 лет представляет наибольший риск со вершения суицида [3,8].…”

Inequality in Health: Correlation Between Poverty and Injury – A Comprehensive Analysis Based on Income Level in Taiwan: A Cross-sectional Study

“…Intentional injuries showed a significantly higher rate of hospitalization for "suicide" and "homicide" for low-income inpatients in both fatal and non-fatal injuries. Additionally, previous research has shown that unemployment and specific occupations were also associated with suicide and suicidal behavior [21,22,23,24]. According to the low-income family study conducted by the Ministry of the Interior of Taiwan, 62% of low-income family members have suffered catastrophic illnesses in the past [12].…”