Predictors of injury mortality: findings from a large national cohort in Thailand. Issue 6 (5th June 2014)

• Record Type: Journal Article
• Authors: Yiengprugsawan, Vasoontara; Berecki-Gisolf, Janneke; Bain, Christopher; McClure, Roderick; Seubsman, Sam-ang; Sleigh, Adrian C
• Other Names: Chokhanapitak Jaruwan author non-byline.; Hounthasarn Suttanit author non-byline.; Khamman Suwanee author non-byline.; Pandee Daoruang author non-byline.; Pangsap Suttinan author non-byline.; Prapamontol Tippawan author non-byline.; Puengson Janya author non-byline.; Seubsman Sam-ang author non-byline.; Somboonsook Boonchai author non-byline.; Sripaiboonkij Nintita author non-byline.; Somsamai Pathumvadee author non-byline.; Vilainerun Duangkae author non-byline.; Wimonwattanaphan Wanee author non-byline.; Somkotra Tewarit author non-byline.; Tawatsupa Benjawan author non-byline.; Rimpeekool Wimalin author non-byline.; Bain Chris author non-byline.; Banks Emily author non-byline.; Banwell Cathy author non-byline.; Caldwell Bruce author non-byline.; Carmichael Gordon author non-byline.; Dellora Tarie author non-byline.; Dixon Jane author non-byline.; Friel Sharon author non-byline.; Harley David author non-byline.; Kelly Matthew author non-byline.; Kjellstrom Tord author non-byline.; Lim Lynette author non-byline.; McMichael Anthony author non-byline.; Mark Tanya author non-byline.; Haora Penny author non-byline.; Sleigh Adrian author non-byline.; Strazdins Lyndall author non-byline.; Jordan Susan author non-byline.; McClure Roderick author non-byline.; Berecki-Gisolf Janneke author non-byline.; Yiengprugsawan Vasoontara author non-byline.;
• Is Part Of: BMJ open. Volume 4:Issue 6(2014)
• Publication Date: 2014-06-05
• Subjects: PUBLIC HEALTH; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2013-004668
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objective: To present predictors of injury mortality by types of injury and by pre-existing attributes or other individual exposures identified at baseline. Design: 5-year prospective longitudinal study. Setting: Contemporary Thailand (2005–2010), a country undergoing epidemiological transition. Participants: Data derived from a research cohort of 87 037 distance-learning students enrolled at Sukhothai Thammathirat Open University residing nationwide. Measures: 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.