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Multivariable logistic regression models were estimated to evaluate associations of injuries with individual-level characteristics.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We included data on 47,747 participants from 12 LMICs in four WHO regions. The weighted prevalence of non-fatal injuries in the past year was 6.8% (95% CI: 6.3%-7.2%); men suffered a greater prevalence of injuries than women (8.3% [95% CI 7.6%-9.0%] vs. 5.4% [95% CI 5.0%-5.9%], respectively). In the multivariable logistic regression, the odds of having any injury were lower among females and married people and higher among individuals with some primary education.<\/jats:p>\n            <jats:p>Prevalence of non-road traffic collision injuries was almost threefold that of road traffic collision (RTC) injuries: 5.6% (5.2%-6.0%) vs. 1.7% (1.5%-2.0%). When considering non-RTC injuries, falls were the most common mechanism (47.0%, 95% CI 44.0%-50.1%), and homes were the most common location (38.1%, 95% CI 34.9%-41.4%), followed by road (17.9%, 95% CI 15.7%-20.4%), and workplace (17.4%, 95% CI 15.2%-19.8%). The largest proportion (23.2%, [95% CI 20.6%-25.9%]) of non-RTC injuries happened to women at home.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Non-RTC injuries, in particular falls, predominate in this population. This highlights a neglected side of injuries, many of which happen at home to women, whereas global attention tends to focus on RTCs. Data on all mechanisms of injuries and care-seeking behaviour after injuries are required for health system planning.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s44197-025-00420-y","type":"journal-article","created":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T06:02:03Z","timestamp":1749535323000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Unintentional Injuries Requiring Medical Attention in Low-Income and Middle-Income Countries: Evidence from Nationally Representative surveys in 12 Countries"],"prefix":"10.1007","volume":"15","author":[{"given":"Leila","family":"Ghalichi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albertino","family":"Damasceno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Flood","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascal","family":"Geldsetzer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mongal","family":"Gurung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maja","family":"Marcus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kibachio Joseph","family":"Mwangi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Vollmer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michaela","family":"Theilmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justine","family":"Davies","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,10]]},"reference":[{"issue":"Supp 1","key":"420_CR1","doi-asserted-by":"publisher","first-page":"i12","DOI":"10.1136\/injuryprev-2019-043296","volume":"26","author":"JA Haagsma","year":"2020","unstructured":"Haagsma JA, James SL, Castle CD, Dingels ZV, Fox JT, Hamilton EB, et al. 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