Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study
Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study
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DOI：
10.1136/injuryprev-2016-042254
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发表时间：
2018-08-01
影响因子：
3.7
通讯作者：
Holmes, Michelle D.
中科院分区：
文献类型：
--
作者：
Diamond, Megan B.;Dalal, Shona;Holmes, Michelle D.
在许多低收入和中等收入国家，与伤害有关的发病率是一个被忽视的健康问题。非洲的大多数伤害数据都是从医院的研究中收集的，很少有跨多个国家的研究。使用来自一个新的队列的数据，我们研究了严重伤害的患病率和发病率和相关的危险因素在撒哈拉以南非洲（SSA）的5个站点。方法一个共同的基线和后续调查管理的参与者。研究人群包括1316名基线患者和904名随访患者。频率进行计算，和逻辑回归模型被用来评估伤害的危险因素。结果共233（17.7%）人报告了严重的伤害，在基线和60（6.6%）报告了严重的伤害6个月后，在后续。69%的参与者对后续调查表作出了答复。在基线和随访时，城市场所严重损伤的最常见原因是交通相关，其次是中毒/过量。在乌干达农村地区，锐器伤最为常见，其次是与运输有关的伤害。与农村地区相比，生活在城市地区与严重伤害的几率增加相关（OR：1.83，95%CI 1.15至2.90）。与不饮酒的参与者相比，饮酒适量以上的参与者发生严重伤害的风险更高（OR：1.86，95%CI 1.02至3.41）。结论在基线和随访时，严重伤害的常见原因是运输相关、锐器和中毒/过量。饮酒、居住在城市和受教育程度是伤害的重要危险因素。它是可行的，收集纵向损伤数据，使用标准化的问卷调查，在多个网站在SSA。应利用纵向数据收集来获得关于SSA损伤风险因素的可靠数据。
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.