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Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey

BACKGROUND: Injuries are becoming an increasingly important public health challenge globally, and are responsible for 9% of deaths. Beyond their impact on health and well-being, fatal and non-fatal injuries also affect social and economic development for individuals concerned. Kenya has limited data...

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Autores principales: Gathecha, Gladwell Koku, Ngaruiya, Christine, Mwai, Wilfred, Kendagor, Ann, Owondo, Scholastica, Nyanjau, Loise, Kibogong, Duncan, Odero, Wilson, Kibachio, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219001/
https://www.ncbi.nlm.nih.gov/pubmed/30400906
http://dx.doi.org/10.1186/s12889-018-6061-x
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author Gathecha, Gladwell Koku
Ngaruiya, Christine
Mwai, Wilfred
Kendagor, Ann
Owondo, Scholastica
Nyanjau, Loise
Kibogong, Duncan
Odero, Wilson
Kibachio, Joseph
author_facet Gathecha, Gladwell Koku
Ngaruiya, Christine
Mwai, Wilfred
Kendagor, Ann
Owondo, Scholastica
Nyanjau, Loise
Kibogong, Duncan
Odero, Wilson
Kibachio, Joseph
author_sort Gathecha, Gladwell Koku
collection PubMed
description BACKGROUND: Injuries are becoming an increasingly important public health challenge globally, and are responsible for 9% of deaths. Beyond their impact on health and well-being, fatal and non-fatal injuries also affect social and economic development for individuals concerned. Kenya has limited data on the magnitude and factors associated with injuries. This study sought to determine the magnitude and risk factors for injuries in Kenya and to identify where the largest burden lies. METHODS: A national population-based household survey was conducted from April–June 2015 among adults age 18–69 years. A three-stage cluster sample design was used to select clusters, households and eligible individuals based on WHO guidelines. We estimated the prevalence of injuries, identified factors associated with injuries and the use of protective devices/practices among road users. Multivariate logistic regression was used to identify potential factors associated with injuries. RESULTS: A total of 4484 adults were included in the study. Approximately 15% had injuries from the past 12 months, 60.3% were males. Four percent of the respondents had been injured in a road traffic crash, 10.9% had experienced unintentional injuries other than road traffic injuries while 3.7% had been injured in violent incidents. Among drivers and passengers 12.5% reported always using a seatbelt and 8.1% of the drivers reported driving while drunk. The leading causes of injuries other than road traffic crashes were falls (47.6%) and cuts (34.0%). Males (p = 0.001), age 18–29 (p < 0.05) and smokers (p = 0.001) were significantly more likely to be injured in a road traffic crash. A higher social economic status (p = 0.001) was protective against other unintentional injuries while students had higher odds for such types of injuries. Heavy episodic drinking (p = 0.001) and smoking (p < 0.05) were associated with increased likelihood of occurrence of a violent injury. CONCLUSIONS: Our study found that male, heavy episodic drinkers, current smokers and students were associated with various injury types. Our study findings highlight the need to scale up interventions for injury prevention for specific injury mechanisms and target groups. There is need for sustained road safety mass media campaigns and strengthened enforcement on helmet wearing, seatbelt use and drink driving.
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spelling pubmed-62190012018-11-16 Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey Gathecha, Gladwell Koku Ngaruiya, Christine Mwai, Wilfred Kendagor, Ann Owondo, Scholastica Nyanjau, Loise Kibogong, Duncan Odero, Wilson Kibachio, Joseph BMC Public Health Research BACKGROUND: Injuries are becoming an increasingly important public health challenge globally, and are responsible for 9% of deaths. Beyond their impact on health and well-being, fatal and non-fatal injuries also affect social and economic development for individuals concerned. Kenya has limited data on the magnitude and factors associated with injuries. This study sought to determine the magnitude and risk factors for injuries in Kenya and to identify where the largest burden lies. METHODS: A national population-based household survey was conducted from April–June 2015 among adults age 18–69 years. A three-stage cluster sample design was used to select clusters, households and eligible individuals based on WHO guidelines. We estimated the prevalence of injuries, identified factors associated with injuries and the use of protective devices/practices among road users. Multivariate logistic regression was used to identify potential factors associated with injuries. RESULTS: A total of 4484 adults were included in the study. Approximately 15% had injuries from the past 12 months, 60.3% were males. Four percent of the respondents had been injured in a road traffic crash, 10.9% had experienced unintentional injuries other than road traffic injuries while 3.7% had been injured in violent incidents. Among drivers and passengers 12.5% reported always using a seatbelt and 8.1% of the drivers reported driving while drunk. The leading causes of injuries other than road traffic crashes were falls (47.6%) and cuts (34.0%). Males (p = 0.001), age 18–29 (p < 0.05) and smokers (p = 0.001) were significantly more likely to be injured in a road traffic crash. A higher social economic status (p = 0.001) was protective against other unintentional injuries while students had higher odds for such types of injuries. Heavy episodic drinking (p = 0.001) and smoking (p < 0.05) were associated with increased likelihood of occurrence of a violent injury. CONCLUSIONS: Our study found that male, heavy episodic drinkers, current smokers and students were associated with various injury types. Our study findings highlight the need to scale up interventions for injury prevention for specific injury mechanisms and target groups. There is need for sustained road safety mass media campaigns and strengthened enforcement on helmet wearing, seatbelt use and drink driving. BioMed Central 2018-11-07 /pmc/articles/PMC6219001/ /pubmed/30400906 http://dx.doi.org/10.1186/s12889-018-6061-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gathecha, Gladwell Koku
Ngaruiya, Christine
Mwai, Wilfred
Kendagor, Ann
Owondo, Scholastica
Nyanjau, Loise
Kibogong, Duncan
Odero, Wilson
Kibachio, Joseph
Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title_full Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title_fullStr Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title_full_unstemmed Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title_short Prevalence and predictors of injuries in Kenya: findings from the national STEPs survey
title_sort prevalence and predictors of injuries in kenya: findings from the national steps survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219001/
https://www.ncbi.nlm.nih.gov/pubmed/30400906
http://dx.doi.org/10.1186/s12889-018-6061-x
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