Prehospital Pain Management for Injured Patients at the Intersection of Sex and Obesity A Retrospective Observational Study
Main Article Content
Abstract
Objectives: We investigated the association of obesity with analgesia administration and pain reduction for prehospital patients with traumatic injuries.
Methods: Using the 2022 ESO Data Collaborative, we analyzed emergency medical services (EMS) records for 9-1-1 transports of adult patients with injuries. Patients with primary impressions related to behavioral, neurologic, respiratory, and cardiac emergencies, Glasgow Coma Scale of < 15, non-alert on AVPU scale, or no race/weight documented were excluded. Weight status was categorized using the Center for Disease Control (CDC) Body Mass Index (BMI) thresholds, with BMI calculated from documented weight, race/ethnicity, and gender using CDC height averages. We analyzed the relationship between BMI category, analgesia administration, and pain reduction using bivariate and multivariable logistic regression.
Results: Of 482,592 patients in the analysis, 164,175 (34.0%) were classified as obese (BMI ≥ 30 kg/m2). Analgesia administration and pain reduction were more likely for patients with obesity (aOR 1.13, 95% CI: 1.10-1.17; aOR 1.06, 95% CI: 1.02-1.10) than those without obesity. Men with obesity were more likely than men without obesity to receive analgesia (aOR 1.21, 95% CI: 1.17-1.24) but women with obesity were not more likely than women without obesity to receive analgesia (aOR 0.97, 95% CI: 0.95-1.00).
Conclusions: Patients with obesity were more likely to receive analgesia by EMS than those without obesity, but this advantage did not exist for women. Limitations to this study include using a convenience sample and calculating a BMI from epidemiological data on average height. Further research should explore the mechanisms underpinning the treatment advantage for men with obesity that does not extend to not women with obesity.
Article Details

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Publishing in IJOP allows authors to keep their copyright while giving IJOP unrestricted copyright permissions. Articles published in IJOP use Creative Common Attribution 4.0 International (CC BY-ND 4.0) licensing. This license requires that re-users give credit to the creator. It allows re-users to copy and distribute the material in any medium or format in unadapted form only, even for commercial purposes. Additional terms apply and can be accessed here.
Publishing in IJOP also allows authors to have contracts for non-exclusive distribution of the Journal's published version of the article, such as posting to an institutional repository or publication in a book, on the condition that the original publication in the original layout format in IJOP is retained and acknowledged.
We permit and encourage authors to post the articles they published in IJOP on their affiliated websites. This helps share the information, encourages citation in other works, and promotes scholarly discourse in the spirit of open access.
References
Agency for Toxic Substances and Disease Registry. (n.d.). CDC/ATSDR social vulnerability index. Retrieved from https://www.atsdr.cdc.gov/
Agerström, J., & Rooth, D.-O. (2011). The role of automatic obesity stereotypes in real hiring discrimination. Journal of Applied Psychology, 96(4), 790–805. https://doi.org/10.1037/a0021594
Amy, N. K., Aalborg, A., Lyons, P., & Keranen, L. (2005). Barriers to routine gynecological cancer screening for White and African-American obese women. International Journal of Obesity, 30(1), 147–155. https://doi.org/10.1038/sj.ijo.0803105
Anderson, C., Peterson, C. B., Fletcher, L., Mitchell, J. E., Thuras, P., & Crow, S. J. (2001). Weight loss and gender: An examination of physician attitudes. Obesity Research, 9(4), 257–263. Portico. https://doi.org/10.1038/oby.2001.30
Bevan, G., Pandey, A., Griggs, S., Dalton, J. E., Zidar, D., Patel, S., Khan, S. U., Nasir, K., Rajagopalan, S., & Al-Kindi, S. (2023). Neighborhood-level social vulnerability and prevalence of cardiovascular risk factors and coronary heart disease. Current Problems in Cardiology, 48(8), 101182. https://doi.org/10.1016/j.cpcardiol.2022.101182
Brice, J. H., Cyr, J. M., Hnat, A. T., Wei, T. L., Principe, S., Thead, S. E., Delbridge, T. R., Winslow, J. E., Studnek, J. R., Fernandez, A. R., & Forrest, E. E. (2018). Assessment of key health and wellness indicators among North Carolina emergency medical service providers. Prehospital Emergency Care, 23(2), 179–186. https://doi.org/10.1080/10903127.2018.1489017
Brown, I., Stride, C., Psarou, A., Brewins, L., & Thompson, J. (2007). Management of obesity in primary care: Nurses’ practices, beliefs and attitudes. Journal of Advanced Nursing, 59(4), 329–341. Portico. https://doi.org/10.1111/j.1365-2648.2007.04297.x
Browne, L. R., Studnek, J. R., Shah, M. I., Brousseau, D. C., Guse, C. E., & Lerner, E. B. (2016). Prehospital opioid administration in the emergency care of injured children. Prehospital Emergency Care, 20(1), 59–65. https://doi.org/10.3109/10903127.2015.1056897
Carr, D., & Friedman, M. A. (2005). Is obesity stigmatizing? Body weight, perceived discrimination, and psychological well-being in the United States. Journal of Health and Social Behavior, 46(3), 244–259. https://doi.org/10.1177/002214650504600303
Cash, R. E., Crowe, R. P., Bower, J. K., Foraker, R. E., & Panchal, A. R. (2019). Differences in cardiovascular health metrics in emergency medical technicians compared to paramedics: A cross-sectional study of emergency medical services professionals. Prehospital and Disaster Medicine, 34(03), 288–296. https://doi.org/10.1017/s1049023x19004254
Centers for Disease Control and Prevention. (n.d.) About obesity. Retrieved from https://www.cdc.gov/obesity/php/about/index.html
Chooi, Y. C., Ding, C., & Magkos, F. (2019). The epidemiology of obesity. Metabolism, 92, 6–10. https://doi.org/10.1016/j.metabol.2018.09.005
Crowe, R. P., Kennel, J., Fernandez, A. R., Burton, B. A., Wang, H. E., Van Vleet, L., Bourn, S. S., & Myers, J. B. (2023). Racial, ethnic, and socioeconomic disparities in out-of-hospital pain management for patients with long bone fractures. Annals of Emergency Medicine, 82(5), 535–545. https://doi.org/10.1016/j.annemergmed.2023.03.035
Farcas, A. M., Crowe, R. P., Kennel, J., Little, N., Haamid, A., Camacho, M. A., Pleasant, T., Owusu-Ansah, S., Joiner, A. P., Tripp, R., Kimbrell, J., Grover, J. M., Ashford, S., Burton, B., Uribe, J., Innes, J. C., Page, D. I., Taigman, M., & Dorsett, M. (2024). Achieving equity in EMS care and patient outcomes through quality management systems: A position statement. Prehospital Emergency Care, 28(6), 871–881. https://doi.org/10.1080/10903127.2024.2352582
Fikkan, J. L., & Rothblum, E. D. (2011). Is fat a feminist issue? Exploring the gendered nature of weight bias. Sex Roles, 66(9–10), 575–592. https://doi.org/10.1007/s11199-011-0022-5
Ferrante, J. M., Ohman-Strickland, P., Hudson, S. V., Hahn, K. A., Scott, J. G., & Crabtree, B. F. (2006). Colorectal cancer screening among obese versus non-obese patients in primary care practices. Cancer Detection and Prevention, 30(5), 459–465. https://doi.org/10.1016/j.cdp.2006.09.003
Flint, S. W., Čadek, M., Codreanu, S. C., Ivić, V., Zomer, C., & Gomoiu, A. (2016). Obesity discrimination in the recruitment process: “You’re not hired!” Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00647
Harvey, E., & Hill, A. (2001). Health professionals’ views of overweight people and smokers. International Journal of Obesity, 25(8), 1253–1261. https://doi.org/10.1038/sj.ijo.0801647
Hebl, M. R., Xu, J., & Mason, M. F. (2003). Weighing the care: patients’ perceptions of physician care as a function of gender and weight. International Journal of Obesity, 27(2), 269–275. https://doi.org/10.1038/sj.ijo.802231
Hegg-Deloye, S., Brassard, P., Prairie, J., Larouche, D., Jauvin, N., Poirier, P., Tremblay, A., & Corbeil, P. (2015). Prevalence of risk factors for cardiovascular disease in paramedics. International Archives of Occupational and Environmental Health, 88(7), 973–980. https://doi.org/10.1007/s00420-015-1028-z
Herrera-Escobar, J. P., Uribe-Leitz, T., Wang, J., Orlas, C. P., Moheb, M. E., Lamarre, T. E., Ahmad, N., Hau, K. M., Jarman, M., Levy-Carrick, N. C., Sanchez, S. E., Kaafarani, H. M. A., Salim, A., & Nehra, D. (2022). The social vulnerability index and long-term outcomes after traumatic injury. Annals of Surgery, 276(1), 22–29. https://doi.org/10.1097/sla.0000000000005471
Hewes, H. A., Dai, M., Mann, N. C., Baca, T., & Taillac, P. (2017). Prehospital pain management: Disparity by age and race. Prehospital Emergency Care, 22(2), 189–197. https://doi.org/10.1080/10903127.2017.1367444
Huizinga, M. M., Cooper, L. A., Bleich, S. N., Clark, J. M., & Beach, M. C. (2009). Physician respect for patients with obesity. Journal of General Internal Medicine, 24(11), 1236–1239. https://doi.org/10.1007/s11606-009-1104-8
Kennel, J., Withers, E., Parsons, N., & Woo, H. (2019). Racial/ethnic disparities in pain treatment. Medical Care, 57(12), 924–929. https://doi.org/10.1097/mlr.0000000000001208
Kennel, J., Woo, H., & Garcia-Alexander, G. (2022). Treatment and outcome disparities for patients with obesity in emergency medical services. International Handbook of the Demography of Obesity, 239–254. https://doi.org/10.1007/978-3-031-10936-2_14
Latner, J. D., & Stunkard, A. J. (2003). Getting worse: The stigmatization of obese children. Obesity Research, 11(3), 452–456. Portico. https://doi.org/10.1038/oby.2003.61
Li, M., Gong, W., Wang, S., & Li, Z. (2022). Trends in body mass index, overweight and obesity among adults in the USA, the NHANES from 2003 to 2018: A repeat cross-sectional survey. BMJ Open, 12(12), e065425. https://doi.org/10.1136/bmjopen-2022-065425
Michael, G. E., Sporer, K. A., & Youngblood, G. M. (2007). Women are less likely than men to receive prehospital analgesia for isolated extremity injuries. The American Journal of Emergency Medicine, 25(8), 901–906. https://doi.org/10.1016/j.ajem.2007.02.001
National EMS Information System. NEMSIS Data Dictionary NHTSA v3.4.0 Build 200910 EMS Data Standard.
Ogden, C. L., Fryar, C. D., Martin, C. B., Freedman, D. S., Carroll, M. D., Gu, Q., & Hales, C. M. (2020). Trends in obesity prevalence by race and hispanic origin—1999-2000 to 2017-2018. JAMA, 324(12), 1208. https://doi.org/10.1001/jama.2020.14590
Owen-Smith, A., Coast, J., & Donovan, J. L. (2018). Self-responsibility, rationing and treatment decision making – Managing moral narratives alongside fiscal reality in the obesity surgery clinic. Health Expectations, 21(3), 606–614. Portico. https://doi.org/10.1111/hex.12651
Pantenburg, B., Sikorski, C., Luppa, M., Schomerus, G., König, H.-H., Werner, P., & Riedel-Heller, S. G. (2012). Medical students’ attitudes towards overweight and obesity. PLoS ONE, 7(11), e48113. https://doi.org/10.1371/journal.pone.0048113
Phelan, S. M., Dovidio, J. F., Puhl, R. M., Burgess, D. J., Nelson, D. B., Yeazel, M. W., Hardeman, R., Perry, S., & van Ryn, M. (2014). Implicit and explicit weight bias in a national sample of 4,732 medical students: The medical student CHANGES study. Obesity, 22(4), 1201–1208. Portico. https://doi.org/10.1002/oby.20687
Puhl, R. M., Andreyeva, T., & Brownell, K. D. (2008). Perceptions of weight discrimination: prevalence and comparison to race and gender discrimination in America. International Journal of Obesity, 32(6), 992–1000. https://doi.org/10.1038/ijo.2008.22
Puhl, R. M., Luedicke, J., & Grilo, C. M. (2013). Obesity bias in training: Attitudes, beliefs, and observations among advanced trainees in professional health disciplines. Obesity, 22(4), 1008–1015. Portico. https://doi.org/10.1002/oby.20637
Schwartz, M. B., Chambliss, H. O., Brownell, K. D., Blair, S. N., & Billington, C. (2003). Weight bias among health professionals specializing in obesity. Obesity Research, 11(9), 1033–1039. Portico. https://doi.org/10.1038/oby.2003.142
Shinall, J. B. (2014). Occupational characteristics and the obesity wage penalty. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2379575
Stata v15.1. (n.d.). College Station, Texas: StataCorp.
Stierman, B., Afful, J., Carroll, M., Te-Ching, C., Orlando, D., Fink, S., & Fryar, C. (2021). NHSR 158. National Health and Nutrition Examination Survey 2017–March 2020 Pre-pandemic Data Files. National Center for Health Statistics (U.S.). https://doi.org/10.15620/cdc:106273
Supples, M. W., Glober, N. K., Lardaro, T. A., Mahler, S. A., & Stopyra, J. P. (2022). Emergency medical services clinicians have a high prevalence of metabolic syndrome. Prehospital Emergency Care, 27(4), 449–454. https://doi.org/10.1080/10903127.2022.2138655
Stone, O., & Werner, P. (2012). Israeli dietitians’ professional stigma attached to obese patients. Qualitative Health Research, 22(6), 768–776. https://doi.org/10.1177/1049732311431942
Tanneberger, A., & Ciupitu-Plath, C. (2017). Nurses’ weight bias in caring for obese patients: Do weight controllability beliefs influence the provision of care to obese patients? Clinical Nursing Research, 27(4), 414–432. https://doi.org/10.1177/1054773816687443
Tsismenakis, A. J., Christophi, C. A., Burress, J. W., Kinney, A. M., Kim, M., & Kales, S. N. (2009). The obesity epidemic and future emergency responders. Obesity, 17(8), 1648–1650. Portico. https://doi.org/10.1038/oby.2009.63
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. The Lancet, 370(9596), 1453–1457. https://doi.org/10.1016/s0140-6736(07)61602-x