The use of regression methods for the investigation of trends in suicide rates in Hungary between 1963 and 2011

Anna M. Laszlo, Adam Hulman, Jozsef Csicsman, F. Bari, T. Nyári

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Purpose: Suicide rates in Hungary have been analyzed from different aspects in recent decades. However, only descriptive rates have been reported. The aim of our epidemiological study was to characterize the pattern of annual rates of suicide in Hungary during the period 1963–2011 by applying advanced statistical methods.

Methods: Annual suicide rates per 100,000 population (>6 years) for gender, age group and suicide method were determined from published frequency tables and reference population data obtained from the Hungarian Central Statistical Office. Trends and relative risks of suicide were investigated using negative binomial regression models overall and in stratified analyses (by gender, age group and suicide method). Joinpoint regression analyses were additionally applied to characterize trends and to find turning points during the period 1963–2011.

Results: Overall, 178,323 suicides (50,265 females and 128,058 males) were committed in Hungary during the investigated period. The risk of suicide was higher among males than females overall, in all age groups and for most suicide methods. The annual suicide rate exhibited a significant peak in 1982 and remained basically constant after 2006. Different segmented patterns were observed for the suicide rates in the various age groups.

Conclusions: Suicide rates revealed segmented linear pattern. This is the first detailed trend analysis with risk estimates obtained via joinpoint and negative binomial regression methods simultaneously for age-specific suicide frequencies in Hungary.

Original languageEnglish
Pages (from-to)249-256
Number of pages8
JournalSocial Psychiatry and Psychiatric Epidemiology
Volume50
Issue number2
DOIs
Publication statusPublished - 2015

Fingerprint

suicide rate
Hungary
Suicide
suicide
regression
trend
age group
Age Groups
gender
statistical method
Statistical Models
Population
Epidemiologic Studies

Keywords

  • Gender difference
  • Hungarian suicide rate
  • Joinpoint regression
  • Negative binomial regression
  • Relative risk

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Epidemiology
  • Health(social science)
  • Social Psychology
  • Medicine(all)

Cite this

The use of regression methods for the investigation of trends in suicide rates in Hungary between 1963 and 2011. / Laszlo, Anna M.; Hulman, Adam; Csicsman, Jozsef; Bari, F.; Nyári, T.

In: Social Psychiatry and Psychiatric Epidemiology, Vol. 50, No. 2, 2015, p. 249-256.

Research output: Contribution to journalArticle

@article{a71c6db614f34f7a8a6a0b85b64411eb,
title = "The use of regression methods for the investigation of trends in suicide rates in Hungary between 1963 and 2011",
abstract = "Purpose: Suicide rates in Hungary have been analyzed from different aspects in recent decades. However, only descriptive rates have been reported. The aim of our epidemiological study was to characterize the pattern of annual rates of suicide in Hungary during the period 1963–2011 by applying advanced statistical methods.Methods: Annual suicide rates per 100,000 population (>6 years) for gender, age group and suicide method were determined from published frequency tables and reference population data obtained from the Hungarian Central Statistical Office. Trends and relative risks of suicide were investigated using negative binomial regression models overall and in stratified analyses (by gender, age group and suicide method). Joinpoint regression analyses were additionally applied to characterize trends and to find turning points during the period 1963–2011.Results: Overall, 178,323 suicides (50,265 females and 128,058 males) were committed in Hungary during the investigated period. The risk of suicide was higher among males than females overall, in all age groups and for most suicide methods. The annual suicide rate exhibited a significant peak in 1982 and remained basically constant after 2006. Different segmented patterns were observed for the suicide rates in the various age groups.Conclusions: Suicide rates revealed segmented linear pattern. This is the first detailed trend analysis with risk estimates obtained via joinpoint and negative binomial regression methods simultaneously for age-specific suicide frequencies in Hungary.",
keywords = "Gender difference, Hungarian suicide rate, Joinpoint regression, Negative binomial regression, Relative risk",
author = "Laszlo, {Anna M.} and Adam Hulman and Jozsef Csicsman and F. Bari and T. Ny{\'a}ri",
year = "2015",
doi = "10.1007/s00127-014-0926-9",
language = "English",
volume = "50",
pages = "249--256",
journal = "Social Psychiatry",
issn = "0037-7813",
publisher = "D. Steinkopff-Verlag",
number = "2",

}

TY - JOUR

T1 - The use of regression methods for the investigation of trends in suicide rates in Hungary between 1963 and 2011

AU - Laszlo, Anna M.

AU - Hulman, Adam

AU - Csicsman, Jozsef

AU - Bari, F.

AU - Nyári, T.

PY - 2015

Y1 - 2015

N2 - Purpose: Suicide rates in Hungary have been analyzed from different aspects in recent decades. However, only descriptive rates have been reported. The aim of our epidemiological study was to characterize the pattern of annual rates of suicide in Hungary during the period 1963–2011 by applying advanced statistical methods.Methods: Annual suicide rates per 100,000 population (>6 years) for gender, age group and suicide method were determined from published frequency tables and reference population data obtained from the Hungarian Central Statistical Office. Trends and relative risks of suicide were investigated using negative binomial regression models overall and in stratified analyses (by gender, age group and suicide method). Joinpoint regression analyses were additionally applied to characterize trends and to find turning points during the period 1963–2011.Results: Overall, 178,323 suicides (50,265 females and 128,058 males) were committed in Hungary during the investigated period. The risk of suicide was higher among males than females overall, in all age groups and for most suicide methods. The annual suicide rate exhibited a significant peak in 1982 and remained basically constant after 2006. Different segmented patterns were observed for the suicide rates in the various age groups.Conclusions: Suicide rates revealed segmented linear pattern. This is the first detailed trend analysis with risk estimates obtained via joinpoint and negative binomial regression methods simultaneously for age-specific suicide frequencies in Hungary.

AB - Purpose: Suicide rates in Hungary have been analyzed from different aspects in recent decades. However, only descriptive rates have been reported. The aim of our epidemiological study was to characterize the pattern of annual rates of suicide in Hungary during the period 1963–2011 by applying advanced statistical methods.Methods: Annual suicide rates per 100,000 population (>6 years) for gender, age group and suicide method were determined from published frequency tables and reference population data obtained from the Hungarian Central Statistical Office. Trends and relative risks of suicide were investigated using negative binomial regression models overall and in stratified analyses (by gender, age group and suicide method). Joinpoint regression analyses were additionally applied to characterize trends and to find turning points during the period 1963–2011.Results: Overall, 178,323 suicides (50,265 females and 128,058 males) were committed in Hungary during the investigated period. The risk of suicide was higher among males than females overall, in all age groups and for most suicide methods. The annual suicide rate exhibited a significant peak in 1982 and remained basically constant after 2006. Different segmented patterns were observed for the suicide rates in the various age groups.Conclusions: Suicide rates revealed segmented linear pattern. This is the first detailed trend analysis with risk estimates obtained via joinpoint and negative binomial regression methods simultaneously for age-specific suicide frequencies in Hungary.

KW - Gender difference

KW - Hungarian suicide rate

KW - Joinpoint regression

KW - Negative binomial regression

KW - Relative risk

UR - http://www.scopus.com/inward/record.url?scp=84939897536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84939897536&partnerID=8YFLogxK

U2 - 10.1007/s00127-014-0926-9

DO - 10.1007/s00127-014-0926-9

M3 - Article

C2 - 24990277

AN - SCOPUS:84939897536

VL - 50

SP - 249

EP - 256

JO - Social Psychiatry

JF - Social Psychiatry

SN - 0037-7813

IS - 2

ER -