title: Predictors of injury mortality: findings from a large national cohort in Thailand.
abstract: OBJECTIVE
  To present predictors of injury mortality by types of injury and by pre-existing attributes or other individual exposures identified at baseline.
  
  
  METHODS
  5-year prospective longitudinal study.
  
  
  METHODS
  Contemporary Thailand (2005-2010), a country undergoing epidemiological transition.
  
  
  METHODS
  Data derived from a research cohort of 87 037 distance-learning students enrolled at Sukhothai Thammathirat Open University residing nationwide.
  
  
  METHODS
  Cohort members completed a comprehensive baseline mail-out questionnaire in 2005 reporting geodemographic, behavioural, health and injury data. These responses were matched with national death records using the Thai Citizen ID number. Age-sex adjusted multinomial logistic regression was used to calculate ORs linking exposure variables collected at baseline to injury deaths over the next 5 years.
  
  
  RESULTS
  Statistically significant predictors of injury mortality were being male (adjustedOR 3.87, 95% CI 2.39 to 6.26), residing in the southern areas (AOR 1.71, 95% CI 1.05 to 2.79), being a current smoker (1.56, 95% CI 1.03 to 2.37), history of drunk driving (AOR 1.49, 95% CI 1.01 to 2.20) and ever having been diagnosed for depression (AOR 1.91, 95% CI 1.00 to 3.69). Other covariates such as being young, having low social support and reporting road injury in the past year at baseline had moderately predictive AORs ranging from 1.4 to 1.6 but were not statistically significant.
  
  
  CONCLUSIONS
  We complemented national death registration with longitudinal data on individual, social and health attributes. This information is invaluable in yielding insight into certain risk traits such as being a young male, history of drunk driving and history of depression. Such information could be used to inform injury prevention policies and strategies.
authors.affiliation: National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia.
authors.forename: Vasoontara
authors.identifier: http://orcid.org/0000-0001-9101-4704
authors.initials: V
authors.lastname: Yiengprugsawan
authors.affiliation: Monash Injury Research Institute, Monash University, Melbourne, Australia.
authors.forename: Janneke
authors.initials: J
authors.lastname: Berecki-Gisolf
authors.affiliation: National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia Genetics and Population Health Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
authors.forename: Christopher
authors.initials: C
authors.lastname: Bain
authors.affiliation: Monash Injury Research Institute, Monash University, Melbourne, Australia.
authors.forename: Roderick
authors.initials: R
authors.lastname: McClure
authors.affiliation: National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia School of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand.
authors.forename: Sam-Ang
authors.initials: SA
authors.lastname: Seubsman
authors.affiliation: National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia.
authors.forename: Adrian C
authors.initials: AC
authors.lastname: Sleigh
mesh_terms: D000293:Adolescent; D000328:Adult; D005260:Female; D005544:Forecasting; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors; D013785:Thailand / Q000453:epidemiology; D014947:Wounds and Injuries / Q000401:mortality*; D055815:Young Adult
keywords: PUBLIC HEALTH