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Introduction: Officers can be unintentionally injured during officer-suspect interactions, and these injuries are often not coded as assaults. This article defines and enumerates injuries that officers sustain while chasing, detaining, arresting, or pursuing suspects. These are termed resistance-related injuries., Methods: Data on law enforcement officer injuries treated in U.S. emergency departments were obtained from the National Electronic Injury Surveillance System-Occupational Supplement from 2012 to 2017. Resistance-related injuries were defined using the Bureau of Labor Statistics Occupational Injury and Illness Classification System, version 2.01. Injury rates were calculated using denominators from the Current Population Survey. Negative binomial regression was used to analyze temporal trends. Data were analyzed in 2019., Results: Between 2012 and 2017, an estimated 303,500 officers were treated in U.S. emergency departments for nonfatal injuries for an overall injury rate of 568 per 10,000 full-time equivalents. Emergency department-treated injuries significantly decreased by 3.8% annually during this time period (p<0.0001). The leading causes of injury were assaults and violent acts (48%), transportation incidents (11%), and falls (11%). Of the total injuries, more than half were resistance-related (53%). A total of 88% of violence-related injuries, nearly 50% of falls, and 31% of overexertion injuries were considered resistance related., Conclusions: More than half of officers' nonfatal injuries occurred when they were interacting, detaining, or pursuing a suspect. This highlights the need to code nonfatal injuries in a consistent and meaningful way that informs police policy and practice., (Published by Elsevier Inc.)

Background: Despite prior research demonstrating higher injury-mortality rates among rural populations, few studies have examined the differences in nonfatal injury risk between rural and urban populations. The objective of this study was to compare injury-hospitalization rates between rural and urban populations using population-based national estimates derived from patient-encounter data., Methods: A cross-sectional analysis of the 2004 Nationwide Inpatient Sample was conducted in 2007. Rural-urban classifications were determined based on residence. SUDAAN software and U.S. Census population estimates were used to calculate nationally representative injury-hospitalization rates. Injury rates between rural and urban categories were compared with rate ratios and 95% CIs., Results: An estimated 1.9 million (95% CI=1,800,250-1,997,801) injury-related hospitalizations were identified. Overall, injury-hospitalization rates generally increased with increasing rurality; rates were 27% higher in large rural counties (95% CI=10%, 44%) and 35% higher in small rural counties (95% CI=16%, 55%). While hospitalization rates for assaults were highest in large urban counties, the rates for unintentional injuries from motor vehicle traffic, falls, and poisonings were higher in rural populations. Rates for self-inflicted injuries from poisonings, cuttings, and firearms were higher in rural counties. The total estimated hospital charges for injuries were more than $50 billion. On a per-capita basis, hospital charges were highest for rural populations., Conclusions: These findings highlight the substantial burden imposed by injury on the U.S. population and the significantly increased risk for those residing in rural locations. Prevention and intervention efforts in rural areas should be expanded and should focus on risk factors unique to these populations.

Background: The differences in occupational and non-occupational injuries between military men and women have not been documented. This study compares occupational and non-occupational injuries between male and female United States Army soldiers by examining injury hospitalization rates and characteristics., Methods: The U.S. Army's Total Army Injury and Health Outcomes Database was searched for hospitalizations with ICD-9-CM codes for injury (800-959.9) between 1992 and 2002. Injury rates were calculated using yearly U.S. Army population data and compared using rate ratios. Injury characteristics were compared among categories of the Trauma Code (on duty; off duty; scheduled training, schemes, and exercises), stratified by gender., Results: Included in this analysis were 792 women for an injury hospitalization rate of 11.0 per 1000 individuals (95% confidence interval [CI]=8.5-13.5) and 4879 men for a rate of 15.5 per 1000 individuals (95% CI=14.0-16.9). While women had significantly more injuries during scheduled training, schemes, and exercises than men (p<0.0001), there were few differences in the cause of those injuries. Women had longer average hospital stays compared to men due to these injuries (9.3 days vs 7.4 days, p=0.002), although these injuries were not more severe (average Injury Severity Score=3.5 for men vs average ISS for women=3.5, p=0.79). There was no difference between the genders in the percent of injuries that occurred off duty; however, men were more likely to get injured due to sports and athletics (p=0.001) and due to fighting (p=0.017) while off duty compared to women., Conclusions: Injury prevention messages for military personnel should focus on reducing risk factors for both on- and off-duty injuries.

Objective: The authors used data from a population based prospective cohort study to determine if depressive symptoms predicted incidence of unintentional injury., Methods: The Keokuk County Rural Health Study, based in Iowa, is a prospective cohort study of health status that includes injury outcomes. Depressive symptoms were measured using the 11-item Center for Epidemiologic Studies Depression Scale at the beginning of the study on 1493 participants. Quarterly follow up phone calls were made to measure injury incidence., Results: 471 injuries were reported for an overall injury rate of 9.8 per 100 person-years. Crude injury rates were significantly higher for those with depressive symptoms (p = 0.0003). Those with depressive symptoms had a 41% increased risk for injury after controlling for antidepressant medication use, gender, prior injury, income, and sleepiness (RR = 1.41, 95% CI 1.10 to 1.80). Depressive symptoms remained a risk factor for injury regardless of current antidepressant medication use (no medication use, RR = 1.43, 95% CI 1.09 to 1.88; medication use, RR = 1.31, 95% CI 0.76 to 2.26)., Conclusions: Depressive symptoms were found to be risk factors for unintentional injury. Medical practitioners should consider talking about safety with their patients, especially those reporting symptoms of depression, and recognize that an increased risk for injury remains until the depressive symptoms subside.