Buckling up in Singapore: residency and other risk factors for seatbelt non-compliance – a cross-sectional study based on trauma registry dataReportar como inadecuado

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BMC Public Health

, 16:402

Health behaviour, health promotion and society


BackgroundSeatbelt non-compliance is a problem in middle income countries, and little is known about seatbelt compliance in populations with a high proportion of non-residents. This study analyses the profile of seatbelt non-compliance in Singapore based on trauma registry data from five of the six public hospitals.

MethodsThis is a cross-sectional study of seatbelt compliance of patients aged over 18 years, attending the emergency departments of five public hospitals in Singapore after road collisions from 2011–2014. Seatbelt data was obtained from paramedic and patient history.

ResultsThere were 4,576 patients studied. Most were Singapore citizens 83.4 % or permanent residents 2.4 %, with the largest non-resident groups from Malaysia, India, and China. Overall seatbelt compliance was 82.1 %.

On univariate analysis, seatbelt compliance was higher in older patients OR 1.02, 95 % CI 1.001–1.021, p < 0.0001; drivers, followed by front passengers OR 0.65, 95 % CI 0.51–0.83, p < 0.0001, were more compliant than rear passengers OR 0.08, 0.06–0.09, p < 0.0001; occupants of larger vehicle types buses, heavy transport vehicles, minibuses and vans were more non-compliant compared to occupants of private cars and taxis. Morning peak travel 0700 h-0900 h and being a non-resident were other risk factors for non-compliance.

On multivariable analysis, older age OR 1.01, 95 % CI 1.001–1.014, p = 0.03 was associated with compliance, while non-residents from China OR 0.43, 95 % CI 0.18–0.99, p = 0.05, seat position front passenger compared to driver, OR 0.64, 95 % CI 0.48–0.85, p = 0.002; rear passenger compared to driver, OR 0.067, 95 % CI 0.05–0.09, p < 0.0001, vehicle type bus compared to car, OR 0.04, 95 % CI 0.017–0.11, p < 0.0001, van compared to car, OR 0.55, 95 % CI 0.36–0.83, p = 0.004, and travel at morning peak periods were independent predictors of seatbelt non-compliance.

When the sub-group of drivers was analysed, only vehicle type was a significant predictor of seatbelt compliance, with bus drivers least likely to be compliant to seatbelts multivariable analysis, OR 0.057 compared to cars, 95 % CI 0.019–0.18, p < 0.0001.

ConclusionsWhile overall seatbelt compliance in our study is high, efforts can be made to increase compliance for morning rush hour passengers, rear seat passengers, and occupants of buses, heavy transport vehicles, and vans or pickups.

KeywordsSeatbelt compliance Immigrant behaviour Singapore Asia Trauma registry AbbreviationsNRDONational Registry of Diseases Office

NTRSingapore National Trauma Registry

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Autor: Ting Hway Wong - Gek Hsiang Lim - Khuan Yew Chow - Trauma Coordinators and Trauma Service Representatives - Nyi Nyi Zaw -

Fuente: https://link.springer.com/

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