Back to Search
Start Over
Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study
- Source :
- Injury Prevention. 24:272-278
- Publication Year :
- 2017
- Publisher :
- BMJ, 2017.
-
Abstract
- IntroductionInjury-related morbidity is a neglected health concern in many low-income and middle-income countries. Most injury data in Africa have been collected from hospital-based studies, and few studies have occurred across multiple countries. Using data from a novel cohort, we examined the prevalence and incidence of serious injuries and associated risk factors across five sites in sub-Saharan Africa (SSA).MethodsA common baseline and follow-up survey was administered to participants. The study population included 1316 persons at baseline and 904 persons at follow-up. Frequencies were calculated, and logistic regression models were used to assess risk factors for injury.ResultsA total of 233 (17.7%) persons reported a serious injury at baseline and 60 (6.6%) reported a serious injury 6 months later at follow-up. Sixty-nine per cent of participants responded to the follow-up questionnaire. At baseline and follow-up, the most common cause of serious injury at urban sites was transport related, followed by poison/overdose. In rural Uganda, sharp instruments injuries were most common, followed by transport-related injuries. Living at an urban site was associated with an increased odds for serious injury compared with those at the rural site (OR: 1.83, 95% CI 1.15 to 2.90). Participants who consumed above a moderate amount of alcohol were at a higher risk of serious injury compared with those who did not consume alcohol (OR: 1.86, 95% CI 1.02 to 3.41). High level of education was an important risk factor for injury.ConclusionAt baseline and follow-up, common causes of serious injury were transport related, sharp instrument and poison/overdose. Alcohol consumption, urban location and education are important risk factors for injury. It is feasible to collect longitudinal injury data using a standardised questionnaire across multiples sites in SSA. Longitudinal data collection should be leveraged to obtain robust data on risk factors for injury in SSA.
- Subjects :
- Adult
Male
medicine.medical_specialty
Alcohol Drinking
Cross-sectional study
Pilot Projects
Violence
Logistic regression
Odds
Young Adult
03 medical and health sciences
0302 clinical medicine
Risk Factors
Environmental health
Epidemiology
Prevalence
medicine
Humans
030212 general & internal medicine
Risk factor
Africa South of the Sahara
business.industry
030503 health policy & services
Incidence (epidemiology)
Public Health, Environmental and Occupational Health
Middle Aged
medicine.disease
Accidents
Cohort
Educational Status
Wounds and Injuries
Population study
Female
Public Health
Medical emergency
0305 other medical science
business
Follow-Up Studies
Subjects
Details
- ISSN :
- 14755785 and 13538047
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Injury Prevention
- Accession number :
- edsair.doi.dedup.....57f09a1ea96cc5f46d9b696c497eb1fb
- Full Text :
- https://doi.org/10.1136/injuryprev-2016-042254