Literature DB >> 20497623

A replication of the relationship between elderly suicide rates and the human development index in a cross-national study.

Ajit Shah1.   

Abstract

BACKGROUND: A recent cross-national study demonstrated a curvilinear (inverted U-shaped curve) between elderly male suicide rates and the Human Development Index (HDI) fitting the quadratic equation y = a + bx - cx2 where y is the elderly male suicide rate, x is the HDI and a, b and c are constants). This study used only one-year cross-sectional data on suicide rates, and suicide rates can randomly fluctuate year on year.
METHODS: A study designed to replicate this curvilinear relationship between elderly suicide rates and the HDI was undertaken by: (i) using one-year average of five years data on suicide rates; and (ii) using more recent data on both elderly suicide rates than used in the previous study. Data were ascertained from the World Health Organization and the United Nations.
RESULTS: There was a significant curvilinear (inverted U-shaped curve) relationship between suicide rates in males aged 65-74 years, males aged 75+ years, females aged 65-74 years and the HDI fitting the quadratic equation y = a + bx - cx2. A similar curvilinear relationship was observed in females aged 75+ years, but the significance level only approached 0.05 level.
CONCLUSIONS: The replication of the curvilinear (inverted U-shaped curve) relationship between elderly suicide rates and the HDI by using one-year average of five years data on suicide rates suggests that the observed relationship is robust and accurate.

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Year:  2010        PMID: 20497623     DOI: 10.1017/S1041610210001110

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  1 in total

1.  Expert Opinions on Improving Femicide Data Collection across Europe: A Concept Mapping Study.

Authors:  Carmen Vives-Cases; Isabel Goicolea; Alison Hernández; Belen Sanz-Barbero; Aisha K Gill; Anna Costanza Baldry; Monika Schröttle; Heidi Stöckl; Heidi Stoeckl
Journal:  PLoS One       Date:  2016-02-09       Impact factor: 3.240

  1 in total

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