Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study.
Autor: | Diamond MB; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA., Dalal S; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA., Adebamowo C; Institute of Human Virology, Abuja, Nigeria.; Greenebaum Cancer Center and Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland, USA., Guwatudde D; Department of Epidemiology & Biostatistics, Makerere School of Public Health, Kampala, Uganda., Laurence C; Centre for Evidence-Based Health Care, Stellenbosch University, Cape Town, South Africa., Ajayi IO; Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria., Bajunirwe F; Department of Community Health, Mbarara University of Science and Technology, Mbarara, Uganda., Njelekela MA; Department of Physiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania., Chiwanga F; Department of Internal Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania., Adami HO; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Nankya-Mutyoba J; Department of Epidemiology & Biostatistics, Makerere School of Public Health, Kampala, Uganda., Kalyesubula R; Department of Medicine, Makerere School of Medicine, Kampala, Uganda., Reid TG; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA., Hemenway D; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.; Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, USA., Holmes MD; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. |
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Jazyk: | angličtina |
Zdroj: | Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention [Inj Prev] 2018 Aug; Vol. 24 (4), pp. 272-278. Date of Electronic Publication: 2017 Nov 08. |
DOI: | 10.1136/injuryprev-2016-042254 |
Abstrakt: | Introduction: 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. Competing Interests: Competing interests: None declared. (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.) |
Databáze: | MEDLINE |
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