Trends in mortality from external causes in the Republic of Seychelles between 1989 and 2018

Sociodemographic distribution and correlates of nonfatal unintentional non-traffic-related injuries in Kenya: Results from the 2014 demographic and health survey

Background and Aim

Injuries are among the leading causes of mortality worldwide. There exists a paucity of nationally representative injury data from the sub-Saharan African region on the nature of injuries outside of road traffic contexts. The aim of this study was to estimate the prevalence of nonfatal unintentional injuries that occurred outside of the traffic environment among persons aged 15-54 years in Kenya.

Methods

We used the 2014 Kenyan Demographic Health Survey data to estimate the prevalence of nonfatal unintentional injuries and their injury mechanisms. Binary logistic regression was used to estimate the odds of unintentional injuries and associated factors.

Results

Injury prevalence was three times higher among males (27.56%) compared to females (8.25%). The highest prevalence for females and males respectively was among those aged 15-19 years (9.80%) and (31.18%), rural residents (8.45%) and (30.05%) and those who consumed alcohol (18.13%), and (31.39%). For both females and males, the most frequent injuries were cuts (4.95%; 18.15%) and as result of falls (3.29%; 8.92%) respectively. Burns were more prevalent among females (1.65%) compared to males (0.76%). Among males, the demographic and contextual factors associated with nontraffic unintentional injuries were residing in a rural area (OR 1.33, 95% CI 1.14, 1.56), primary education (OR 2.02, 95% CI 1.48, 2.76), a higher wealth index (second quintile OR 1.41, 95% CI 1.19, 1.67) and consuming alcohol (OR 1.49, 95% CI 1.32, 1.69). Females who had completed primary, secondary (OR 2.43, 95% CI 1.92, 3.08) or higher education had higher odds of unintentional injuries.

Conclusion

The findings mirror prior literature highlighting the clustering of demographic and behavioral factors which underlie predisposition to injuries outside of the traffic environment. Future nationally representative studies would benefit from deeper inquiry into and measurement of injury severity and health care utilization to inform strategic policy-relevant research.

Self-reported involvement in road traffic crashes in Kenya: A cross-sectional survey of a nationally representative sample

Background

Road traffic crashes (RTCs) are a global public health burden whose resulting morbidity and mortality disproportionately impact low- and middle-income countries with stressed health systems. There is a paucity of published studies that evaluate the sociodemographic distribution of RTCs using nationally representative samples from the African region.

Aim

To examine population-wide associations between sociodemographic factors and involvement in RTCs in Kenya.

Methods

Data were obtained from the 2014 Kenyan Demographic Health Survey, representing all 47 counties in Kenya, from May to October of 2014. We estimated the prevalence of RTCs and utilized logistic regression for bivariate and multivariable analyses to determine the sociodemographic factors associated with RTCs. Study variables included age, place of residence, household wealth index, educational attainment, and history of alcohol consumption. We computed odds ratios (ORs) and their corresponding 95% confidence intervals (CIs).

Results

A higher prevalence was reported among men (8.76%) versus women (3.22%). The risk factors among men included being 20-34 years of age, living in a rural area (OR 1.38, 95% CI 1.09, 1.74), drinking alcohol (OR 1.33, 95% CI 1.11, 1.59), and having not higher than a primary (OR 1.90, 95% CI 1.19, 3.03) or secondary (OR 1.68, 95% CI 1.04, 2.71) education. The strongest risk factors for women included the being aged 45-49 (OR 2.30, 95% CI 1.44, 3.67) and 20-24 years (OR 1.81, 95% 1.17, 2.79) as well as being in the fourth wealth quintile (OR 1.83, 95% CI 1.15, 2.91).

Conclusion

Men and the most economically productive age groups were more likely to report being involved in RTCs. Strategies to reduce the occurrences of RTCs should prioritize the most vulnerable sociodemographic groups.

Changes in Mortality Related to Traumatic Brain Injuries in the Seychelles from 1989 to 2018

Introduction: Traumatic Brain Injuries (TBIs) are a significant source of disability and mortality, which disproportionately affect low- and middle-income countries. The Republic of Seychelles is a country in the African region that has experienced rapid socio-economic development and one in which all deaths and the age distribution of the population have been enumerated for the past few decades. The aim of this study was to investigate TBI-related mortality changes in the Republic of Seychelles during 1989–2018.

Methods: All TBI-related deaths were ascertained using the national Civil Registration and Vital Statistics System. Age- and sex-standardised mortality rates (per 100,000 person-years) were standardised to the age distribution of the World Health Organisation standard population.

Results: The 30-year age-standardised TBI-related mortality rates were 22.6 (95% CI 19.9, 25.2) in males and 4.0 (95% CI 2.9, 5.1) in females. Road traffic collisions were the leading contributor to TBI-related mortality [10.0 (95% CI 8.2, 11.8) in males and 2.7 (95% CI 1.8, 3.6) in females, P > 0.05]. TBI-related mortality was most frequent at age 20–39 years in males (8.0) and at age 0–19 in females (1.4). Comparing 2004–2018 vs. 1989–2003, the age-standardised mortality rates changed in males/females by −20%/−11% (all cause mortality), −24%/+39.4% (TBIs) and +1%/+34.8% (road traffic injury-related TBI).

Conclusion: TBI-related mortality rates were much higher in males but decreased over time. Road traffic collisions were the single greatest contributor to TBI mortality, emphasising the importance of road safety measures.