The relationship between pay day and violent death in Guatemala: a time series analysis

Inj Prev. 2017 Apr;23(2):102-108. doi: 10.1136/injuryprev-2016-042024. Epub 2016 Oct 3.

Abstract

Objective: To assess if violent deaths were associated with pay days in Guatemala.

Design: Interrupted time series analysis.

Setting: Guatemalan national autopsy databases.

Participants: Daily violence-related autopsy data for 22 418 decedents from 2009 to 2012. Data were provided by the Guatemalan National Institute of Forensic Sciences. Multiple pay-day lags and other important days such as holidays were tested.

Outcome measures: Absolute and relative estimates of excess violent deaths on pay days and holidays.

Results: The occurrence of violent deaths was not associated with pay days. However, a significant association was observed for national holidays, and this association was more pronounced when national holidays and pay days occurred simultaneously. This effect was observed mainly in males, who constituted the vast majority of violent deaths in Guatemala. An estimated 112 (coefficient=3.12; 95% CI 2.15 to 4.08; p<0.01) more male violent deaths occurred on holidays than were expected. An estimated 121 (coefficient=4.64; 95% CI 3.41 to 5.88; p<0.01) more male violent deaths than expected occurred on holidays that coincided with the first 2 days following a pay day.

Conclusions: Men in Guatemala experience violent deaths at an elevated rate when pay days coincide with national holidays. Efforts to be better prepared for violence during national holidays and to prevent violent deaths by rescheduling pay days when these days co-occur with national holidays should be considered.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Autopsy
  • Cause of Death
  • Female
  • Guatemala / epidemiology
  • Holidays* / psychology
  • Homicide / ethnology
  • Homicide / statistics & numerical data*
  • Humans
  • Interrupted Time Series Analysis
  • Male
  • Population Surveillance
  • Salaries and Fringe Benefits*
  • Sex Distribution
  • Sex Factors
  • Suicide / statistics & numerical data*
  • Violence / ethnology
  • Violence / psychology
  • Violence / statistics & numerical data*
  • Wounds and Injuries / ethnology
  • Wounds and Injuries / mortality*