TY - JOUR
T1 - Non-fatal injury in Thailand from 2005 to 2013 : incidence trends and links to alcohol consumption patterns in the Thai cohort study
AU - Wakabayashi, M.
AU - Berecki-Gisolf, J.
AU - Banwell, C.
AU - Kelly, M.
AU - Yiengprugsawan, V.
AU - McKetin, R.
AU - Seubsman, S. A.
AU - Iso, H.
AU - Sleigh, A.
AU - Chokhanapitak, J.
AU - Khamman, S.
AU - Pangsap, S.
AU - Puengson, J.
AU - Rimpeekool, W.
AU - Somboonsook, B.
AU - Vilainerun, D.
AU - Pachanee, C. A.
AU - Tangmunkolvorakul, A.
AU - Tawatsupa, B.
AU - Somkotra, T.
AU - Bain, C.
AU - Banks, E.
AU - Caldwell, B.
AU - Carmichael, G.
AU - Dellora, T.
AU - Dixon, J.
AU - Friel, S.
AU - Harley, D.
AU - Jordan, S.
AU - Kjellstrom, T.
AU - Lim, L.
AU - McClure, Rod
AU - McMichael, A.
AU - Strazdins, L.
AU - Tranh, T.
AU - Zhao, J.
AU - Thai Cohort Study Team, null
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.
UR - https://hdl.handle.net/1959.7/uws:73509
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 -