SEARCHCROSS-SECTIONALepidemiology, public health

cross-sectional·epidemiology, public health, family medicine, emergency medicine·PMC10246455

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

Health Science Reports · 5 authors, 3 centres

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TL;DR

Using nationally representative 2014 Kenya Demographic and Health Survey data, this cross-sectional study estimated the prevalence of nonfatal unintentional non-traffic injuries among persons aged 15–54 years. Injury prevalence was three times higher among males (27.56%) than females (8.25%), with cuts and falls being the most common injury types for both sexes.

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This study analyzed data from the 2014 Kenya Demographic and Health Survey to estimate the prevalence and sociodemographic correlates of nonfatal unintentional non-traffic-related injuries among Kenyans aged 15–54 years. Binary logistic regression was used to identify associated factors. Cuts were the most common injury type (4.95% females; 18.15% males), followed by falls (3.29% females; 8.92% males). Burns were more prevalent among females (1.65%) than males (0.76%).

STUDY TYPE

cross-sectional

SPECIALTY

epidemiology

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ORIGINAL PAPER

PMC10246455

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

Health Science Reports

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ABSTRACT

Abstract 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. Keywords: Africa, epidemiology, global health, injuries, Kenya, public health

CITATION EXPORT

Anne Abio, Peter Ngum, Michael Lowery Wilson et al.. Sociodemographic distribution and correlates of nonfatal unintentional non‐traffic‐related injuries in Kenya: Results from the 2014 demographic and health survey. Health Science Reports. (2023). https://doi.org/10.1002/hsr2.1323

AUTHORS

5 · 3 CENTRES

Anne Abio, Peter Ngum, Michael Lowery Wilson, Till Bärnighausen, Herman Lule

1 Department of Clinical Neurosciences, Injury Epidemiology and Prevention (IEP) Research Group, Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland
2 Heidelberg Institute of Global Health (HIGH), University Hospital and University of Heidelberg, Heidelberg, Germany
3 Department of Neurology, Turku Brain Injury Center, Turku University Hospital, University of Turku, Turku, Finland