Skip Navigation
Skip to contents

J Trauma Inj : Journal of Trauma and Injury



Page Path
HOME > J Trauma Inj > Volume 35(4); 2022 > Article
Original Article
Impact of obesity on the severity of trauma in patients injured in pedestrian traffic accidents
Pillsung Oh, MD1orcid, Jin-Seong Cho, MD1,2orcid, Jae Ho Jang, MD1,2orcid, Jae Yeon Choi, MD1,2orcid, Woo Sung Choi, MD1orcid, Byungchul Yu, MD3orcid
Journal of Trauma and Injury 2022;35(4):240-247.
Published online: December 8, 2021
  • 116 Download
  • 3 Crossref

1Department of Emergency Medicine, Gil Medical Center, Incheon, Korea

2Department of Emergency Medicine, Gachon University College of Medicine, Incheon, Korea

3Department of Traumatology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea

Correspondence to Jin-Seong Cho, MD Department of Emergency Medicine, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero 774beon-gil, Namdong-gu, Incheon 21565, Korea Tel: +82-31-460-3901 E-mail:
• Received: July 2, 2021   • Revised: October 6, 2021   • Accepted: October 6, 2021

© 2022 The Korean Society of Traumatology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • Purpose
    Studies on the relationship between obesity and injuries, especially those sustained in pedestrian traffic accidents, are lacking. We aimed to assess the effects of obesity on the severity of injury at the time of admission to the emergency room in patients who experienced pedestrian traffic accidents.
  • Methods
    This study included trauma patients registered in the Korean Trauma Database from July 1, 2018 to December 31, 2020, whose mechanism of injury was pedestrian traffic accidents and who were treated at a single institution. Those aged below 15 years were excluded. Patients were assigned to nonobese and obese groups based on a body mass index of 25 kg/m2. An Injury Severity Score of 25 or greater was considered to indicate a critical injury.
  • Results
    In total, 679 cases of pedestrian traffic accidents were registered during the study period, and 543 patients were included in the final analysis. Of them, 360 patients (66.3%) and 183 patients (33.7%) were categorized as nonobese and obese, respectively. The median age was significantly higher in the nonobese group than in the obese group (60 vs. 58 years). Multivariate analysis demonstrated that the odds ratio for critical injury in obese patients was 1.59 (95% confidence interval, 1.01–2.48) compared with nonobese patients.
  • Conclusions
    Obesity affected the likelihood of sustaining severe injuries in pedestrian traffic accidents. Future studies should analyze the effects of body mass index on the pattern and severity of injuries in patients with more diverse injury mechanisms using large-scale data.
Obesity is a risk factor for ischemic heart disease, cerebrovascular disease, diabetes mellitus, hypertension, dyslipidemia, and several malignant neoplasms [16]. The prevalence of overweight and obesity is increasing in both developed and developing countries. This can lead to an increase in comorbidities, which in turn imposes an increased socioeconomic burden. Thus, obesity has been identified as a major public health problem [7]. In South Korea, the prevalence of obesity in adults aged age 19 years and above increased by 2.9 percentage points from 31.7% in 2007 to 34.6% in 2018 [8]. Many studies have analyzed the mechanisms underlying obesity, its relationship with medical diseases, and its clinical significance. However, there is a relative lack of knowledge regarding the relationship between obesity and injuries. Most studies that analyzed the correlation between obesity and injuries from traffic accidents focused on car accidents and reported that obesity had negative effects on outcomes [9,10]. However, few studies have analyzed the effects of obesity on injuries sustained in pedestrian traffic accidents. Therefore, this study aimed to assess the effects of different levels of obesity on injury severity at the time of admission to the emergency room among patients who experienced pedestrian traffic accidents.
Ethical statements
The study was approved by the Institutional Review Board of Gachon University Gil Medical Center with a waiver for the need for informed consent (No. GAIRB2021-228).
Data collection
The study was performed at Gachon University Gil Medical Center, a 1,500-bed tertiary general hospital, located in Incheon, Korea. Gachon University Gil Medical Center has been designated as a regional emergency medical and trauma center; approximately 80,000 patients visit this hospital annually, including 20,000 trauma patients. Institutions selected to receive support for regional trauma center installation are required to input data into the Korean Trauma Data Bank (KTDB). Patients registered in the KTDB include those who present to the emergency room or trauma resuscitation room of participating hospitals, and those with S- and T-codes were eligible for the study. Patients who were discharged home without being admitted were excluded [11].
Patient selection
Trauma patients registered in the KTDB from July 1, 2018, to December 31, 2020 who experienced pedestrian traffic accidents and were treated at Gil Medical Center were included in this study. Patients under 15 years of age were excluded, as were those who died at the time of admission to the emergency room or in the emergency room, because those accidents were expected to be fatal regardless of the patient’s characteristics, including body mass index (BMI), which would have had caused serious bias in the study. Patients whose BMI or Injury Severity Score (ISS) was unknown were also excluded.
Definition of variables
Data were collected from the KTDB on the following parameters: sex, age, time of injury, transport via public ambulance, suspicion of alcohol consumption, type of collision vehicle, initial vital signs and mental status upon emergency department (ED) arrival, blood transfusion, whether an emergent procedure or operation was performed, Abbreviated Injury Scale (AIS) score for each body part, intensive care unit (ICU) stay (day), total hospital stay (day), duration of mechanical ventilation, complications during hospitalization, and hospitalization results.
BMI is a universal criterion used to diagnose obesity [12]. According to the World Health Organization Asian-Pacific Region guidelines and the definitions used by the Korean Society for the Study of Obesity, BMI values greater than 23 kg/m2 and 25 kg/m2 are defined as overweight and obesity, respectively, in Asian populations, including Koreans [13]. Thus, patients with a BMI less than 25 kg/m2 were assigned to the nonobese group, while those with a BMI greater than 25 kg/m2 were included in the obese group.
The AIS is an anatomy-based coding system first proposed in 1971 that is used to classify and describe the severity of trauma [14]. The AIS score ranges from 1 to 6, and a score of 9 is defined as “not further specified.” As described in previous studies, an AIS score of greater than 3 in certain body parts indicates a severe injury [15,16]. The ISS was first proposed in 1974 and is widely used to estimate the severity of injuries [17]. In studies that analyzed the ISS as a prognostic factor in trauma patients, the ISS was divided into mild (<9), moderate (9–15), severe (16–25), and profound (>25) or minor (<4), moderate (4–8), serious (9–15), severe (16–24), and critical (>24). In our study, to focus on the effects of obesity in more severe injuries, trauma injuries with an ISS greater than 25 were considered critical, as in other studies [1820].
Statistical methods
The chi-square test was performed to compare discrete dependent variables. For continuous dependent variables, the median and interquartile range (IQR) were calculated, and the Mann-Whitney U-test was used to compare the differences. Additionally, multivariate logistic regression analysis was performed to identify factors associated with the dependent variables. Multivariate logistic regression with the use of backward elimination was performed on variables that showed associations with P-values less than 0.20 in univariate logistic regression or were deemed clinically significant. SPSS ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used to perform all statistical analyses, and a P-value of less than 0.05 was considered to indicate statistical significance.
A total of 2,318 traffic accident patients presented to the hospital from July 2018 to December 2020. Among these patients, 679 had experienced pedestrian traffic accidents. According to the exclusion criteria, 42 patients aged below 15 years and 36 who died at the time of arrival in the emergency room or in the emergency room were excluded. Fifty-eight patients whose BMI and ISS values were not recorded were also excluded, as this information was essential for the analysis. A total of 543 patients were included in the analysis and were divided into nonobese (360 patients, 66.3%) and obese patients (183 patients, 33.7%) (Fig. 1).
The proportion of men was slightly greater in the obese group (56.8%) than in the nonobese group (50.3%); however, no significant difference was observed (P=0.148). In contrast, the age of the patients was significantly higher in the nonobese group (median, 60 years; IQR, 47–72 years) than in the obese group (median, 58 years; IQR, 45–68 years; P=0.001). However, no significant difference was observed in the time of injury, suspicion of alcohol consumption, and type of collision vehicle between the two groups. Mental status upon arrival at the emergency room was assessed using the Glasgow Coma Scale (GCS). The proportion of patients with a GCS score <9 was higher in the obese group than in the nonobese group (19.4% vs. 10.9%), suggesting that the level of consciousness was significantly lower in the obese group (P=0.034). Vital signs were also not statistically significantly different between the two groups, except for the pulse rate. The median pulse rates were 86 beats per min (bpm; IQR, 75–99 bpm) and 97 bpm (IQR, 77–108 bpm) in the nonobese and obese groups, respectively, but the difference was not clinically significant. The revised trauma score was calculated based on the patient’s information at the time of admission, and the obese group showed significantly lower scores than the nonobese group (P=0.021). The AIS score was significantly different in the head area between the two groups. Severe head injuries were significantly more common in the obese group (86.2%) than in the nonobese group (67.4%, P=0.005). Severe abdominal injuries were less frequently encountered in the obese group (51.2%) than in the nonobese group (63.3%); however, the difference was not statistically significant (Table 1).
With regard to the management provided in the ED and outcomes, the proportion of patients who required red blood cell and fresh frozen plasma transfusion was significantly higher in the obese group (24.6% and 14.8%, respectively) than in the nonobese group (16.7% and 7.5%, respectively; P=0.027 and P=0.008, respectively). Moreover, more patients in the obese group underwent emergent procedures or operations (14.9% vs. 18.6%) and were admitted to the ICU (44.7% vs. 52.5%) than those in the nonobese group; however, the differences were not statistically significant (P=0.153 and P=0.088, respectively). After hospitalization, the obese group stayed longer in the ICU than the nonobese group (median, 3.2 days vs. 5.0 days; P=0.002) and had a longer duration of hospitalization (median, 11.9 days vs. 14.6 days; P<0.001). However, no significant differences were observed in outcomes, including the mortality rate, between the two groups (P=0.774) (Table 2).
Age, sex, time of injury, suspicion of alcohol consumption, and type of collision vehicle were included in the multivariate analysis to assess the difference in the likelihood of sustaining a critical injury according to obesity status. The final model was selected using the backward elimination method. After adjusting for age and sex, the odds ratio (OR) for critical injury in the obese group was 1.59 (95% confidence interval [CI], 1.01–2.48) compared with the nonobese group. Furthermore, the OR for critical injury was 1.74 (95% CI, 1.10–2.74) in male patients (Table 3). However, no statistically significant difference was found between the obese group and the nonobese group for the risk of injuries with an ISS >15.
The severity of injury according to the accident mechanism seems to be affected by various physiological and biomechanical factors (e.g., change in speed at the time of collision, type of collision object, protective equipment, and collision location). There is a lack of research exploring the relationships among patient body type, specific damage mechanisms, and the severity of injuries. In general, previous studies have reported that obesity negatively affects trauma patients; however, those studies used different methods of research and reported inconsistent findings [9,10]. Thus, there is no clear consensus on the effects of obesity in trauma patients. In this study, we adjusted for several variables that can affect the severity of injuries in pedestrian traffic accidents. The OR of critical injury in the obese group was 1.59 (95% CI, 1.01–2.48), reflecting a significantly higher risk than that in the nonobese group.
In a study on survivor drivers of passenger cars who experienced a motor vehicle crash injury, obese male drivers were more likely to have a higher ISS than nonobese male drivers [10]. Similar to our method, that study excluded patients who died in the emergency room and then analyzed the severity of injury. However, the study participants were passengers, not pedestrians as in our study. In that study, a stratified analysis according to sex and obesity was conducted, and obesity only had detrimental effects on injury severity in male patients. In our study, the OR for critical injury was higher in men than in women regardless of BMI, and there was no interaction between sex and BMI in relation to the risk of critical injury.
In another study that analyzed the relationship between obesity and severity of injury in blunt trauma patients aged 15 years and above, the patients were divided into four groups according to their BMI (<25, 25–29.9, 30–34.9, and ≥35 kg/m2), and injury severity was compared among the four groups [21]. The mean ISS showed significant intergroup differences; in particular, a subgroup analysis demonstrated that the group with a BMI <25 kg/m2 had a significantly lower ISS than the other three groups. Consistent with our findings, trauma patients with a BMI ≥25 kg/m2 had a higher ISS. However, the analysis of that study did not distinguish various mechanisms of injury, including motor vehicle accidents, falling from a height, and simple falls. Thus, there were difficulties in understanding how the mechanism of injury affects the impact of obesity on the pattern of injuries.
Another study compared the severity of injuries and outcomes according to obesity status in blunt trauma patients. Unlike the other study, the mean ISS (12.6 vs. 11.8), abdomen AIS, head AIS, and mortality rate (6.8% vs. 3.5%) were not significantly different between nonobese and obese patients [22]. However, the specific mechanism of blunt trauma was also not distinguished in that study. Most importantly, only 815 out of 7,030 trauma patients were assessed for BMI and included in the study. Thus, the risk of bias was high. Similarly, another study on hospitalized patients injured in motorcycle accidents reported that there was no difference in injury severity according to obesity status (mean ISS, 9.7 vs. 9.3) [23].
In a previous study that analyzed the severity and pattern of injuries according to obesity status in patients who had fallen down, mortality and the AIS for various body parts were not significantly different between obese and normal-weight groups. By contrast, the ISS was significantly lower in obese patients than in normal-weight patients; however, the reason for the difference in ISS was not provided [24]. Taken together, these studies have reported various findings on the severity of injury according to obesity status in blunt trauma patients. However, there is a lack of studies evaluating the effects of obesity on the severity of pedestrian injuries. For this reason, our study makes a novel and meaningful contribution to the literature.
In a computational study of the injury patterns of overweight drivers involved in motor vehicle crashes using dummy modeling, a higher BMI was associated with an elevated risk of injury in the head, thorax, and lower extremities, excluding the abdomen [25]. According to that study, in obese persons, the adipose tissue accumulated in the abdomen provides a cushioning effect for protection. In other body parts, in contrast, adipose tissue has less prominent cushioning effects. Thus, the effect of momentum due to a higher BMI exceeds the cushioning effects of adipose tissue, causing an overall increase in the injury risk. This proposal seems to be applicable to understanding the results of our study, which showed that obesity might have an overall detrimental effect on the severity of injuries. In our study, as well as having a higher risk of critical injury, the obese group also had a higher risk of severe head injury than the nonobese group (86.2% vs. 67.4%,; P=0.005). Moreover, although the difference was not statistically significant, the rate of severe abdominal injuries was lower in obese patients (51.2%) than in nonobese patients (63.3%), suggesting that obesity may have protective effects against abdominal trauma, in accordance with the interpretation of the computational study discussed above. However, there were no meaningful differences in other body parts (thorax, spine, upper extremity, and lower extremity). Several studies have also reported findings regarding the relationship between obesity and injuries to specific body parts; however, the results differ depending on the injury mechanism [16,26,27].
The OR for critical injury in men was 1.74 (95% CI, 1.10–2.74). Another study that evaluated the effects of age on injury severity in older patients who experienced pedestrian traffic accidents reported that male sex was associated with an ISS of more than 25 (OR, 1.23; 95%, CI 1.11–1.36). This finding is consistent with our observations [28]. In a study that analyzed traffic accident data from the United States, the fatality rate per 100 collisions was approximately 1.98 times higher in men than in women (8.14 vs. 4.12) [29]. However, these two studies did not explain why men were more likely to experience severe injuries and mortality in pedestrian traffic accidents than women.
This study has several limitations. First, this study was conducted retrospectively using data collected from a single medical institution. Thus, the characteristics of patients who experienced traffic accidents as pedestrians cannot be generalized. Second, only those who were hospitalized or transferred were included in our study; therefore, patients who were discharged based on their emergency room test results were not included. The reason for this is that only hospitalized patients who presented to the emergency room or trauma resuscitation room of participating hospitals and were assigned S- and T-codes were included in the KTDB, excluding those who were discharged home. However, clinical injury severity is expected to be low in patients who do not require hospitalization, and it is likely that the exclusion of those patients did not significantly affect the findings of our study. Third, patients were assigned to nonobese and obese groups based on a BMI of 25 kg/m2. For Asians, a BMI of less than 18.5 kg/m2 is considered underweight. Only 7% of the participants in this study were underweight, making it difficult to assess the effects of obesity on the severity of injury in the full range of BMI categories. These limitations were also observed in the previous studies that have been described above and should be addressed in future research once sufficient data are collected.
In conclusion, obesity is a significant risk factor for severe injuries in pedestrian traffic accidents. Further studies are needed to analyze the effects of BMI on the pattern and severity of injuries in patients with more diverse mechanisms of injury using large-scale data.

Ethical statements

The study was approved by the Institutional Review Board of Gachon University Gil Medical Center with a waiver for the need for informed consent (No. GAIRB2021-228).

Conflicts of interest

The authors have no conflicts of interest to declare.



Author contributions

Conceptualization: all authors; Data curation: all authors; Formal analysis: all authors; Methodology: all authors; Project administration: PO, JC; Visualization: PO, JC; Writing–original draft: PO, JC; Writing–review & editing: all authors.

All authors read and approved the final manuscript.

Fig. 1.
Flow diagram of the patient selection and exclusion process. DOA, dead on arrival; ED, emergency department; BMI, body mass index; ISS, Injury Severity Score.
Table 1.
General characteristics, mental status, vital signs, and AIS scores of patients with pedestrian injuries admitted via the emergency department
Variable Total (n=543) Nonobesea) (n=360) Obeseb) (n=183) P-value
Male sex 285 (52.5) 181 (50.3) 104 (56.8) 0.148
Age (yr) 60 (47–72) 62 (49–74) 58 (45–68) 0.001
Time of injury 0.189
 00:00–08:00 127 (23.4) 78 (21.7) 49 (26.8)
 08:00–16:00 236 (43.5) 154 (42.8) 82 (44.8)
 16:00–24:00 180 (33.2) 128 (35.6) 52 (28.4)
Transportation by public ambulance 518 (95.4) 343 (95.3) 175 (95.6) 0.854
Suspicion of alcohol consumption 77 (14.2) 52 (14.4) 25 (13.7) 0.805
Type of collision vehicle 0.476
 Car 460 (84.7) 304 (84.4) 156 (85.3)
 Bicycle 7 (1.3) 6 (1.7) 1 (0.6)
 Motorcycle 29 (5.3) 22 (6.1) 7 (3.8)
 Others 28 (5.2) 16 (4.4) 12 (6.6)
 Unknown 19 (3.5) 12 (3.3) 7 (3.8)
Glasgow Coma Scale (n=495) 0.034
 ≥14 391 (79.0) 270 (81.8) 121 (73.3)
 9≤ & <14 36 (7.3) 24 (7.3) 12 (7.3)
 <9 68 (13.7) 36 (10.9) 32 (19.4)
Systolic blood pressure (mmHg) (n=536) 137 (116–160) 137 (117–161) 136 (114–158) 0.196
Diastolic blood pressure (mmHg) (n=536) 84 (71–96) 84 (72–96) 85 (71–96) 0.598
Pulse rate (bpm) (n=540) 86 (75–99) 84 (74–95) 91 (77–108) <0.001
Respiratory rate (breaths/min) (n=540) 20 (18–22) 20 (18–21) 20 (18–22) 0.117
Body temperature (℃) (n=540) 36.5 (36.0–36.8) 36.5 (36.0–36.8) 36.5 (36.1–36.9) 0.048
Revised trauma score (n=489) 7.8408 (7.8408–7.8408) 7.8408 (7.8408–7.8408) 7.8408 (6.904–7.8408) 0.021
Severe body part injury (AIS≥3 in AIS≥1)
 Head (n=203) 149 (73.4) 93 (67.4) 56 (86.2) 0.005
 Thorax (n=175) 128 (73.1) 82 (73.9) 46 (71.9) 0.774
 Abdomen (n=90) 52 (57.8) 31 (63.3) 21 (51.2) 0.249
 Spine (n=92) 15 (16.3) 11 (19.0) 4 (11.8) 0.367
 Upper extremity (n=119) 6 (5.0) 0 (0.0) 6 (13.0) 0.002
 Lower extremity (n=299) 140 (46.9) 92 (46.7) 48 (47.1) 0.953

Values are presented as number (%) or median (interquartile range).

AIS, Abbreviated Injury Scale; bpm, beats per minute.

a) Body mass index <25 kg/m2

b) Body mass index ≥25 kg/m2.

Table 2.
Management performed at the emergency department and outcomes
Variable Total (n=543) Nonobesea) (n=360) Obeseb) (n=183) P-value
Transfusion of red blood cell 105 (19.3) 60 (16.7) 45 (24.6) 0.027
Transfusion of fresh frozen plasma 54 (9.9) 27 (7.5) 27 (14.8) 0.008
Emergent procedure or operation 84 (15.5) 50 (14.9) 34 (18.6) 0.153
Admission to intensive care unit 257 (47.3) 161 (44.7) 96 (52.5) 0.088
Intensive care unit days (n=257) 3.6 (1.8–8.6) 3.2 (1.5–7.0) 5.0 (2.2–13.1) 0.002
Total hospital days (n=527) 12.9 (6.9–21.7) 11.9 (6.0–20.0) 14.6 (8.9–28.0) <0.001
Mechanical ventilation days (n=118) 3.5 (0.78–11.2) 2.7 (0.4–10.6) 5.2 (2.2–12.5) 0.097
Complication during admission (n=529) 58 (11.0) 37 (10.3) 21 (11.5) 0.669
Admission result (n=527) 0.774
 Discharge 124 (22.8) 87 (24.2) 37 (20.3)
 Transfer 357 (65.8) 234 (65.0) 123 (67.2)
 Expire 46 (8.5) 28 (7.8) 18 (9.8)

Values are presented as number (%) or median (interquartile range).

a) Body mass index <25 kg/m2

b) Body mass index ≥25 kg/m2.

Table 3.
Risk factors for critical injury (Injury Severity Score ≥25) in pedestrian traffic accidents
Variable Unadjusted Adjusted
OR 95% CI P-value OR 95% CI P-value
Obesity (BMI ≥25 kg/m2) 1.60 1.02–2.49 0.038 1.59 1.01–2.49 0.044
Age (yr) 1.00 0.98–1.10 1.011 1.00 0.99–1.01 0.527
Male sex 1.73 1.10–2.70 0.016 1.74 1.10–2.75 0.018
Time of injury -
 16:00–24:00 Reference
 00:00–08:00 1.17 0.67–2.05 0.578
 08:00–16:00 0.80 0.48–1.32 0.375
Suspicion of alcohol consumption (yes) 0.87 0.46–1.65 0.676 -
Type of collision vehicle -
 Car Reference
 Bicycle 0.72 0.09–6.10 0.767
 Motorcycle 0.70 0.24–2.05 0.511
 Others 0.72 0.25–2.14 0.561
 Unknown 2.00 0.74–5.43 0.170

OR, odds ratio; CI, confidence interval; BMI, body mass index.

  • 1. Manson JE, Colditz GA, Stampfer MJ, et al. A prospective study of obesity and risk of coronary heart disease in women. N Engl J Med 1990;322:882–9. ArticlePubMed
  • 2. Marini S, Merino J, Montgomery BE, et al. Mendelian randomization study of obesity and cerebrovascular disease. Ann Neurol 2020;87:516–24. ArticlePubMedPMC
  • 3. Morris RD, Rimm DL, Hartz AJ, Kalkhoff RK, Rimm AA. Obesity and heredity in the etiology of non-insulin-dependent diabetes mellitus in 32,662 adult white women. Am J Epidemiol 1989;130:112–21. ArticlePubMed
  • 4. Kotsis V, Stabouli S, Bouldin M, Low A, Toumanidis S, Zakopoulos N. Impact of obesity on 24-hour ambulatory blood pressure and hypertension. Hypertension 2005;45:602–7. ArticlePubMed
  • 5. Howard BV, Ruotolo G, Robbins DC. Obesity and dyslipidemia. Endocrinol Metab Clin North Am 2003;32:855–67. ArticlePubMed
  • 6. Vucenik I, Stains JP. Obesity and cancer risk: evidence, mechanisms, and recommendations. Ann N Y Acad Sci 2012;1271:37–43. ArticlePubMedPMC
  • 7. World Health Organization (WHO). Obesity: preventing and managing the global epidemic: report of a WHO consultation [Internet]. Geneva: WHO; 2000 [cited 2021 Apr 23]. Available from:
  • 8. Korea Centers for Disease Control and Prevention. Korea national health statistics [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2018 [cited 2021 Apr 23]. Available from:
  • 9. Dubois S, Mushquash AR, Weaver B, Beedard M. Age modifies the association between driver’s body mass index and death following motor vehicle crashes. Traffic Inj Prev 2018;19:728–33. ArticlePubMed
  • 10. Ma X, Laud PW, Pintar F, et al. Obesity and non-fatal motor vehicle crash injuries: sex difference effects. Int J Obes (Lond) 2011;35:1216–24. ArticlePubMedPMC
  • 11. Yu BC, Chung M, Lee GJ, et al. Analysis of KTDB registered trauma patients from a single trauma center in Korea. J Trauma Inj 2015;28:123–8. Article
  • 12. Korean Society for the Study of Obesity. Guideline for the management of obesity in Korea [Internet]. Seoul: Korean Society for the Study of Obesity; 2014 [cited 2021 Apr 23]. Available from:
  • 13. World Health Organization (WHO). The Asia-Pacific perspective: redefinding obesity and its treatment [Internet]. Geneva: WHO; 2000 [cited 2021 Apr 23]. Available from:
  • 14. Rating the severity of tissue damage. I. The abbreviated scale. JAMA 1971;215:277–80. ArticlePubMed
  • 15. Rupp JD, Flannagan CA, Leslie AJ, Hoff CN, Reed MP, Cunningham RM. Effects of BMI on the risk and frequency of AIS 3+ injuries in motor-vehicle crashes. Obesity (Silver Spring) 2013;21:E88–97. ArticlePubMed
  • 16. Carter PM, Flannagan CA, Reed MP, Cunningham RM, Rupp JD. Comparing the effects of age, BMI and gender on severe injury (AIS 3+) in motor-vehicle crashes. Accid Anal Prev 2014;72:146–60. ArticlePubMedPMC
  • 17. Baker SP, O’Neill B, Haddon W Jr, Long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 1974;14:187–96. PubMed
  • 18. Bolorunduro OB, Villegas C, Oyetunji TA, et al. Validating the injury severity score (ISS) in different populations: ISS predicts mortality better among Hispanics and females. J Surg Res 2011;166:40–4. ArticlePubMed
  • 19. Stevenson M, Segui-Gomez M, Lescohier I, Di Scala C, McDonald-Smith G. An overview of the injury severity score and the new injury severity score. Inj Prev 2001;7:10–3. ArticlePubMedPMC
  • 20. Conroy C, Tominaga GT, Erwin S, et al. The influence of vehicle damage on injury severity of drivers in head-on motor vehicle crashes. Accid Anal Prev 2008;40:1589–94. ArticlePubMed
  • 21. Durgun HM, Dursun R, Zengin Y, et al. The effect of body mass index on trauma severity and prognosis in trauma patients. Ulus Travma Acil Cerrahi Derg 2016;22:457–65. ArticlePubMed
  • 22. Duane TM, Dechert T, Aboutanos MB, Malhotra AK, Ivatury RR. Obesity and outcomes after blunt trauma. J Trauma 2006;61:1218–21. ArticlePubMed
  • 23. Liu HT, Rau CS, Wu SC, et al. Obese motorcycle riders have a different injury pattern and longer hospital length of stay than the normal-weight patients. Scand J Trauma Resusc Emerg Med 2016;24:50. ArticlePubMedPMC
  • 24. Chuang JF, Rau CS, Liu HT, et al. Obese patients who fall have less injury severity but a longer hospital stay than normal-weight patients. World J Emerg Surg 2016;11:3. ArticlePubMedPMC
  • 25. Kim JE, Kim IH, Shum PC, et al. A computational study of injury severity and pattern sustained by overweight drivers in frontal motor vehicle crashes. Comput Methods Biomech Biomed Engin 2014;17:965–77. ArticlePubMed
  • 26. Tagliaferri F, Compagnone C, Yoganandan N, Gennarelli TA. Traumatic brain injury after frontal crashes: relationship with body mass index. J Trauma 2009;66:727–9. ArticlePubMed
  • 27. Desapriya E, Giulia S, Subzwari S, et al. Does obesity increase the risk of injury or mortality in motor vehicle crashes? A systematic review and meta-analysis. Asia Pac J Public Health 2014;26:447–60. ArticlePubMed
  • 28. Lee HH, Cho JS, Lim YS, et al. Relationship between age and injury severity in traffic accidents involving elderly pedestrians. Clin Exp Emerg Med 2019;6:235–41. ArticlePubMedPMC
  • 29. Zhu M, Zhao S, Coben JH, Smith GS. Why more male pedestrians die in vehicle-pedestrian collisions than female pedestrians: a decompositional analysis. Inj Prev 2013;19:227–31. ArticlePubMed

Figure & Data



    Citations to this article as recorded by  
    • Obesity as a Risk Factor for Adverse Outcomes After Pedestrian Trauma Accidents in the Pediatric Population
      Hannah Mulvihill, Katie Roster, Nisha Lakhi
      Pediatric Emergency Care.2024; 40(7): 498.     CrossRef
    • Changes in incidence and severity of commercial motorcycle accidents due to the use of delivery service platforms in Korea: a retrospective cohort study
      Dam Moon, Jae Ho Jang, Jin Seong Cho, Jae Yeon Choi, Jae-hyug Woo, Woo Sung Choi, Sung Yeol Hyun, Seung Hwan Lee
      Journal of Trauma and Injury.2023; 36(2): 121.     CrossRef
    • Pregnancy is associated with more severe injuries from motor vehicle crashes
      Ya-Hui Chang, Yu-Wen Chien, Chiung-Hsin Chang, Ping-Ling Chen, Tsung-Hsueh Lu, Chung-Yi Li
      Journal of the Formosan Medical Association.2023;[Epub]     CrossRef


    J Trauma Inj : Journal of Trauma and Injury