TY - JOUR
T1 - Non-fatal injury in Thailand from 2005 to 2013
T2 - Incidence trends and links to alcohol consumption patterns in the Thai Cohort Study
AU - Wakabayashi, Mami
AU - Berecki-Gisolf, Janneke
AU - Banwell, Cathy
AU - Kelly, Matthew
AU - Yiengprugsawan, Vasoontara
AU - McKetin, Rebecca
AU - Seubsman, Sam ang
AU - Iso, Hiroyasu
AU - Sleigh, Adrian
AU - Chokhanapitak, Jaruwan
AU - Khamman, Suwanee
AU - Pangsap, Suttinan
AU - Puengson, Janya
AU - Rimpeekool, Wimalin
AU - Somboonsook, Boonchai
AU - Vilainerun, Duangkae
AU - Pachanee, Cha aim
AU - Tangmunkolvorakul, Arunrat
AU - Tawatsupa, Benjawan
AU - Somkotra, Tewarit
AU - Bain, Chris
AU - Banks, Emily
AU - Caldwell, Bruce
AU - Carmichael, Gordon
AU - Dellora, Tarie
AU - Dixon, Jane
AU - Friel, Sharon
AU - Harley, David
AU - Jordan, Susan
AU - Kjellstrom, Tord
AU - Lim, Lynette
AU - McClure, Rod
AU - McMichael, Anthony
AU - Strazdins, Lyndall
AU - Tranh, Tam
AU - Zhao, Jiaying
N1 - Publisher Copyright:
© 2016 Mami Wakabayashi et al.
PY - 2016
Y1 - 2016
N2 - Background: We analyzed population-based injury trends and the association between injury and alcohol consumption patterns in Thailand, a middle-income country undergoing rapid social change. Methods: A nationwide cohort of 42 785 Thai adult Open University students, who were aged 15 to 87 years at enrolment, participated in cross-sectional assessments at baseline (2005) and 8 years later (2013). Incident non-fatal traffic and non-traffic injuries were recorded. Alcohol consumption patterns were categorized as follows: nondrinkers, occasional light drinkers, occasional heavy drinkers, regular drinkers, and ex-drinkers. Logistic regression was used to assess associations in 2005 and 2013 between injuries and alcohol consumption. We adjusted odds ratios (ORs) for socio-demographic factors, stress, health behaviors, and risk-taking behaviors. Results: Incidence estimates in 2013 were standardized to the age structure of 2005: the standardized rates were 10% (95% confidence interval [CI], 9.32-9.89) for participants with at least one non-traffic injury and 5% (95% CI, 4.86-5.29) for those with at least one traffic injury. Both standardized incidences for non-traffic and traffic injuries were significantly lower than corresponding rates in 2005 (20% and 6%, respectively). Alcohol consumption was significantly associated with non-traffic injury in 2005, but the association disappeared in 2013. For example, nontraffic injury was associated with regular drinking (adjusted OR 1.17; 95% CI, 1.01-1.40) in 2005, but not in 2013 (adjusted OR 0.89; 95% CI, 0.73-1.10). In both survey years, traffic injury was not associated with occasional heavy drinking when adjusted for health and risk-taking behavior. Conclusions: We examined non-fatal injury and the health-risk transition in Thailand in 2005 and 2013. Our data revealed decreases in alcohol consumption and non-fatal injury in the Thai Cohort between 2005 and 2013. Alcoholrelated injury in Thailand today could be amenable to preventive intervention.
AB - Background: We analyzed population-based injury trends and the association between injury and alcohol consumption patterns in Thailand, a middle-income country undergoing rapid social change. Methods: A nationwide cohort of 42 785 Thai adult Open University students, who were aged 15 to 87 years at enrolment, participated in cross-sectional assessments at baseline (2005) and 8 years later (2013). Incident non-fatal traffic and non-traffic injuries were recorded. Alcohol consumption patterns were categorized as follows: nondrinkers, occasional light drinkers, occasional heavy drinkers, regular drinkers, and ex-drinkers. Logistic regression was used to assess associations in 2005 and 2013 between injuries and alcohol consumption. We adjusted odds ratios (ORs) for socio-demographic factors, stress, health behaviors, and risk-taking behaviors. Results: Incidence estimates in 2013 were standardized to the age structure of 2005: the standardized rates were 10% (95% confidence interval [CI], 9.32-9.89) for participants with at least one non-traffic injury and 5% (95% CI, 4.86-5.29) for those with at least one traffic injury. Both standardized incidences for non-traffic and traffic injuries were significantly lower than corresponding rates in 2005 (20% and 6%, respectively). Alcohol consumption was significantly associated with non-traffic injury in 2005, but the association disappeared in 2013. For example, nontraffic injury was associated with regular drinking (adjusted OR 1.17; 95% CI, 1.01-1.40) in 2005, but not in 2013 (adjusted OR 0.89; 95% CI, 0.73-1.10). In both survey years, traffic injury was not associated with occasional heavy drinking when adjusted for health and risk-taking behavior. Conclusions: We examined non-fatal injury and the health-risk transition in Thailand in 2005 and 2013. Our data revealed decreases in alcohol consumption and non-fatal injury in the Thai Cohort between 2005 and 2013. Alcoholrelated injury in Thailand today could be amenable to preventive intervention.
KW - Alcohol
KW - Health transition
KW - Injury
KW - Socio-economic status
KW - Thailand
UR - http://www.scopus.com/inward/record.url?scp=84991051742&partnerID=8YFLogxK
U2 - 10.2188/jea.JE20150218
DO - 10.2188/jea.JE20150218
M3 - Article
SN - 0917-5040
VL - 26
SP - 471
EP - 480
JO - Journal of Epidemiology
JF - Journal of Epidemiology
IS - 9
ER -