Depression As a Strong Prediction of Suicide Risk

  •  Rofingatul Mubasyiroh    
  •  Julianty Pradono    
  •  Enung Nurkhotimah    
  •  Nunik Kusumawardani    
  •  Sri Idaiani    


Suicide happens throughout one’s life and is a serious health problem. World Health Organization (WHO) placed suicidal problem as society health priority. Many things is related to suicide, among others mental disorders like depression, anxiety, alcohol consumption behavior, life pressure experienced, financial problem, personal relation, or so is chronic illness experienced, conflict occurred, disaster, harassment, alienation social demography characteristic. Objective research to identify the risk factor of suicidal thought in several regions in Indonesia. The study design was Cross sectional research conducted in 3 (three) districts/cities in Indonesia. Proportional illustration Sample taken conducted using stratified random sampling.  Fixed variables analyzed such as the suicidal thoughts with the independent variable are gender, age, marital status, education, employment, ownership statistic, depression, anxiety. Univariate, bivariate and multivariate using the SPSS software. The result of the research showed that suicidal behavior happened more often to depressed individual, lived in the cities, anxious, productive age group, has low education level. Respondent suffered through depression 11 times more likely to have suicidal thoughts. The risk of suicidal behavior also increased 5 times to respondent in the cities. Respondent living anxiety 2 times riskier to have suicidal intent. Blue collar respondent also 2 times more risk in comparison to civil servants to have suicidal intent. Therefore it can be concluded that The influence of psychological factors is more substantial to inflict suicidal behavior, even though there is also effect of the social economy factor.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1916-9736
  • Issn(Onlne): 1916-9744
  • Started: 2009
  • Frequency: monthly

Journal Metrics

Google-based Impact Factor (2017): 1.84

h-index (June 2018): 32

i10-index (June 2018): 105

h5-index (June 2018): 23

h5-median(June 2018): 28

RG Journal impact: 1.26