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dc.contributor.authorDiamond, Megan B
dc.contributor.authorDalal, Shona
dc.contributor.authorAdebamowo, Clement
dc.contributor.authorGuwatudde, David
dc.contributor.authorLaurence, Carien
dc.contributor.authorAjayi, Ikeoluwapo O
dc.contributor.authorBajunirwe, Francis
dc.contributor.authorNjelekela, Marina A
dc.contributor.authorChiwanga, Faraja
dc.contributor.authorAdami, Hans-Olov
dc.contributor.authorNankya-Mutyoba, Joan
dc.contributor.authorKalyesubula, Robert
dc.contributor.authorReid, Todd G
dc.contributor.authorHemenway, David
dc.contributor.authorHolmes, Michelle D
dc.date.accessioned2021-12-10T07:44:37Z
dc.date.available2021-12-10T07:44:37Z
dc.date.issued2018
dc.identifier.citationDiamond, M. B., Dalal, S., Adebamowo, C., Guwatudde, D., Laurence, C., Ajayi, I. O., ... & Holmes, M. D. (2018). Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study. Injury prevention, 24(4), 272-278.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1086
dc.description.abstractIntroduction Injury-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). Methods A 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. Results A 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. Conclusion At 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.en_US
dc.description.sponsorshipKarolinska Institutet (grant no: Dnr: 2368/10– 221).en_US
dc.language.isoen_USen_US
dc.publisherInjury preventionen_US
dc.titlePrevalence and risk factor for injury in sub-Saharan Africa: a multicountry studyen_US
dc.typeArticleen_US


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