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      Age Effects in Facial Fracture Trauma: Disparities in Multisystem Injuries in Non-Fall-Related Trauma

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      Cureus
      social disparities, elderly falls, facial trauma, age effects, facial fracture

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          Abstract

          Background and objective

          Facial fractures represent a growing concern among an aging population prone to falls. In light of this, this study aimed to investigate differential facial fracture patterns and outcomes based on age effects. Determining the differences between the severity and type of facial fractures in populations of different ages will help guide clinical decision-making when managing patients with facial fractures.

          Methods

          This was a single-center study involving trauma registry data, from July 1, 2016, to January 31, 2022. The inclusion criteria were based on the International Classification of Diseases (ICD-10) diagnosis of facial fracture. A linear regression was performed to ascertain the effects of predictor variables on the likelihood that a facial fracture trauma patient would experience various age effects on injury location, mortality, and morbidity.

          Results

          A total of 1575 patients were included in the analysis. A significant regression equation was found (F(47,1476)=42.46, p<0.01), with an R 2 of 0.57. Older facial fracture trauma patients were more likely to be female (β=3.13, p<0.01) with fractures to their zygoma (β=2.57, p=0.02). Higher Abbreviated Injury Scale (AIS) facial region scores (β=2.21, p=0.03), longer hospital length of stay (β=0.07, p=0.02), and in-hospital mortality (β=10.47, p<0.01) were also associated with older age. Older age was additionally associated with a higher level of several morbidity markers. Younger facial fracture trauma patients were more likely to be African American (β=-5.46, p<0.01) or other, non-Caucasian race (β=-8.66, p<0.01) and to have mandible fracture patterns (β=-3.63, p<0.01). The younger patients were more likely to be fully activated (β=-3.10, p<0.01) with a higher shock index ratio (SIR) (β=-7.36, p<0.01). Injury mechanisms in younger facial fracture patients were more likely to be assault (β=-12.43, p<0.01), four-wheeler/ATV accident (β=-24.80, p<0.01), gunshot (β=-15.18, p<0.01), moped accident (β=-13.50, p<0.01), motorcycle accident (β=-12.31, p<0.01), motor vehicle accident (β=-16.52, p<.01), or pedestrian being struck by a motor vehicle (β=-10.69, p=0.02).

          Conclusions

          Based on our findings, age effects impact facial fracture patterns and outcomes. Younger patients are more likely to experience multisystem injuries via non-fall trauma. On the other hand, older patients are more likely to experience more severe primary facial injuries. Older patients are also at a higher risk of fall-related trauma. Disparities also exist between genders and races, with male and non-Caucasian patients being at a higher risk of injury from facial fractures at a younger age. With an aging population, the prevalence of falls is likely to increase. Thus, facial fractures represent a growing healthcare burden and warrant future investments related to care and treatment.

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          Most cited references11

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          The epidemiology of osteoporosis.

          With a worldwide ageing population, the importance of the prevention and management of osteoporotic fragility fractures is increasing over time. In this review, we discuss in detail the epidemiology of fragility fractures, how this is shaped by pharmacological interventions and how novel screening programmes can reduce the clinical and economic burden of osteoporotic fractures.
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            Global, regional, and national burden of bone fractures in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

            (2021)
            Background Bone fractures are a global public health issue; however, to date, no comprehensive study of their incidence and burden has been done. We aimed to measure the global, regional, and national incidence, prevalence, and years lived with disability (YLDs) of fractures from 1990 to 2019. Methods Using the framework of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we compared numbers and age-standardised rates of global incidence, prevalence, and YLDs of fractures across the 21 GBD regions and 204 countries and territories, by age, sex, and year, from 1990 to 2019. We report estimates with 95% uncertainty intervals (UIs). Findings Globally, in 2019, there were 178 million (95% UI 162–196) new fractures (an increase of 33·4% [30·1–37·0] since 1990), 455 million (428–484) prevalent cases of acute or long-term symptoms of a fracture (an increase of 70·1% [67·5–72·5] since 1990), and 25·8 million (17·8–35·8) YLDs (an increase of 65·3% [62·4–68·0] since 1990). The age-standardised rates of fractures in 2019 were 2296·2 incident cases (2091·1–2529·5) per 100 000 population (a decrease of 9·6% [8·1–11·1] since 1990), 5614·3 prevalent cases (5286·1–5977·5) per 100 000 population (a decrease of 6·7% [5·7–7·6] since 1990), and 319·0 YLDs (220·1–442·5) per 100 000 population (a decrease of 8·4% [7·2–9·5] since 1990). Lower leg fractures of the patella, tibia or fibula, or ankle were the most common and burdensome fracture in 2019, with an age-standardised incidence rate of 419·9 cases (345·8–512·0) per 100 000 population and an age-standardised rate of YLDs of 190·4 (125·0–276·9) per 100 000 population. In 2019, age-specific rates of fracture incidence were highest in the oldest age groups, with, for instance, 15 381·5 incident cases (11 245·3–20 651·9) per 100 000 population in those aged 95 years and older. Interpretation The global age-standardised rates of incidence, prevalence, and YLDs for fractures decreased slightly from 1990 to 2019, but the absolute counts increased substantially. Older people have a particularly high risk of fractures, and more widespread injury-prevention efforts and access to screening and treatment of osteoporosis for older individuals should help to reduce the overall burden. Funding Bill & Melinda Gates Foundation.
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              Trends in Nonfatal Falls and Fall-Related Injuries Among Adults Aged ≥65 Years — United States, 2012–2018

              Falls are the leading cause of injury among adults aged ≥65 years (older adults) in the United States. In 2018, an estimated 3 million emergency department visits, more than 950,000 hospitalizations or transfers to another facility (e.g., trauma center), and approximately 32,000 deaths resulted from fall-related injuries among older adults.* Deaths from falls are increasing, with the largest increases occurring among persons aged ≥85 years ( 1 ). To describe the percentages and rates of nonfatal falls by age group and demographic characteristics and trends in falls and fall-related injuries over time, data were analyzed from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) and were compared with data from 2012, 2014, and 2016. In 2018, 27.5% of older adults reported falling at least once in the past year, and 10.2% reported an injury from a fall in the past year. The percentages of older adults reporting a fall increased between 2012 and 2016 and decreased slightly between 2016 and 2018. Falls are preventable, and health care providers can help their older patients reduce their risk for falls. Screening older patients for fall risk, assessing modifiable risk factors (e.g., use of psychoactive medications or poor gait and balance), and recommending interventions to reduce this risk (e.g., medication management or referral to physical therapy) can prevent older adult falls (https://www.cdc.gov/steadi). BRFSS is a landline and mobile telephone survey conducted annually in all 50 U.S. states, the District of Columbia (DC), and U.S. territories, with a median response rate of 49.9% in 2018. The survey collects information on health-related behavioral risk factors and chronic conditions among noninstitutionalized U.S. adults aged ≥18 years. † Information on falls and fall-related injuries is recorded every 2 years from adults aged ≥45 years by asking “In the past 12 months, how many times have you fallen?” If the response was one or more times, the respondent was asked “How many of these falls caused an injury? By an injury, we mean the fall caused you to limit your regular activities for at least a day or to go see a doctor.” Responses to each of these questions ranged from 0 to 76 falls or fall-related injuries. Rates were calculated as the average number of falls and fall-related injuries per 1,000 older adults. Both questions were dichotomized to calculate the percentage of older adults who reported having at least one fall or fall-related injury. Using 2018 BRFSS data, percentages and rates were calculated by age group for demographic (sex and race/ethnicity) and geographic (urban/rural status) characteristics. Functional characteristics (blind/difficulty seeing, difficulty dressing/bathing, difficulty walking/climbing stairs, difficulty doing errands alone, and difficulty concentrating/making decisions) also were compared, as were self-reported health status and data on taking part in any physical activity/exercise in the past month. Analysis was restricted to respondents aged ≥65 years residing in the 50 states and DC. Any respondents with missing values or responses of “Don’t know/Not sure” or “Refused” for falls or fall-related injuries were excluded. Overall, 4.8% of respondents were excluded from the analysis of falls, leaving 142,834; and 4.9% were excluded from the analysis of fall-related injuries, leaving 142,591. Two-sample t-tests were used to compare percentages across characteristics. Linear trend tests were conducted for age group and self-reported health status. BRFSS data from 2012, 2014, 2016, and 2018 were used to examine trends in the percentages of adults aged ≥65 years who had fallen or had a fall-related injury and rates of falls overall and by age group. Polynomial linear regression was used to assess linearity of trends ( 2 ). Where nonlinear trends were detected, two-sample t-tests with Bonferroni adjustments for multiple comparisons were performed to determine differences between years ( 2 ). Because the BRFSS questions about falls differed in three states (Michigan, Oregon, and Wisconsin) for 2012, compared with other years, the trend analysis was limited to 47 states and DC. All results presented are weighted to represent the U.S. population. Analysis was conducted using SAS-callable SUDAAN (version 11; RTI International) to account for the complex survey design. In 2018, 27.5% of adults aged ≥65 years reported at least one fall in the past year (Table 1), and 10.2 % of adults aged ≥65 years reported at least one fall-related injury (Table 2). In the preceding year, an average of 714 falls (Table 1) and an average of 170 fall-related injuries were reported per 1,000 older adults (Table 2), or approximately 35.6 million falls and 8.4 million fall-related injuries. The percentage of adults aged ≥65 years reporting a fall or a fall-related injury increased with age (p 30%. TABLE 2 Number of fall-related injuries, percentage of adults reporting a fall-related injury, and rates* of self-reported fall-related injuries in the past year among adults ≥65 years by age group and select characteristics (unweighted n = 142,591) — Behavioral Risk Factor Surveillance System, United States, 2018 Age group/Characteristic No.† reporting a fall-related injury % of fall-related injuries§ (95% CI) Rate* of fall-related injuries (95% CI) Total (all aged ≥65 years) Overall 5,051,046 10.2 (9.8–10.6) 170 (160–179) Sex Male 1,753,182 7.9 (7.4–8.6) 140 (125–155) Female 3,285,921 11.9 (11.4–12.5) 193 (181–204) Race/Ethnicity ¶ White 3,927,593 10.2 (9.9–10.6) 170 (161–178) Black 373,817 8.8 (7.1–10.8) 122 (99–144) American Indian/Alaska Native 49,235 15.2 (11.4–19.9) 360 (183–536) Asian/Pacific Islander 107,711 —** 90 (39–142) Hispanic 422,695 11.5 (9.2–14.1) 192 (132–251) Multiple/Other 73,334 11.3 (9.2–13.7) — Geography Urban 4,112,951 10.1 (9.6–10.6) 167 (157–178) Rural 937,957 10.4 (9.8–11.1) 180 (161–199) Self-reported health Excellent 322,006 5.4 (4.3–6.9) 65 (51–79) Very good 972,529 6.7 (6.1–7.3) 81 (74–89) Good 1,518,761 9.2 (8.5–9.8) 133 (122–145) Fair 1,294,112 14.7 (13.6–15.9) 263 (238–289) Poor 917,291 24.9 (23.0–26.9) 624 (535–713) Functional characteristics Blind/Difficulty seeing    Yes 742,101 19.6 (17.4–21.9) 436 (354–519)    No 4,281,945 9.4 (9.0–9.8) 147 (140–155) Difficulty concentrating    Yes 1,104,754 22.5 (20.6–24.6) 489 (425–552)    No 3,888,940 8.7 (8.4–9.1) 133 (125–141) Difficulty walking/climbing stairs    Yes 2,704,665 20.3 (19.2–21.3) 407 (376–438)    No 2,315,536 6.4 (6.0–6.8) 82 (76–88) Difficulty performing errands alone    Yes 1,318,985 27.3 (25.1–29.7) 587 (524–651)    No 3,693,519 8.3 (7.9–8.6) 124 (116–132) Difficulty dressing/bathing    Yes 833,239 31.2 (28.3–34.4) 724 (619–829)    No 4,198,368 8.9 (8.6–9.3) 138 (130–145) Any physical activity in past month    Yes 2,918,250 8.6 (8.1–9.1) 131 (121–140)    No 2,120,902 13.5 (12.7–14.3) 253 (232–274) 65–74 years Overall 2,743,633 9.3 (8.8–9.9) 160 (148–171) Sex Male 958,537 6.9 (6.3–7.6) 123 (108–138) Female 1,775,596 11.4 (10.7–12.2) 191 (175–208) Race/Ethnicity White 1,999,023 9.0 (8.6–9.5) 155 (144–166) Black 226,321 8.4 (6.9–10.2) 126 (100–153) American Indian/Alaska Native 35,860 16.9 (11.9–23.9) 452 (191–714) Asian/Pacific Islander 95,225 — — Hispanic 299,340 12.5 (9.5–16.3) 180 (136–224) Multiple/Other 42,830 10.7 (8.6–13.3) — Geography Urban 511,500 9.3 (8.7–9.9) 160 (146–173) Rural 2,232,054 9.6 (8.8–10.4) 161 (146–176) Self-reported health Excellent 173,443 4.6 (3.1–6.8) 54 (35–73) Very good 571,453 6.3 (5.6–7.1) 79 (69–89) Good 744,975 7.8 (7.2–8.5) 116 (103–128) Fair 765,642 15.1 (13.5–17.0) 276 (238–314) Poor 477,503 24.5 (22.3–26.9) 649 (540–758) Functional characteristics Blind/Difficulty seeing    Yes 402,881 21.0 (17.5–24.9) 486 (366–605)    No 2,326,598 8.5 (8.0–9.0) 136 (128–145) Difficulty concentrating    Yes 642,512 24.2 (21.4–27.3) 529 (454–604)    No 2,064,220 7.8 (7.3–8.3) 121 (111–130) Difficulty walking/climbing stairs    Yes 1,408,428 21.0 (19.6–22.5) 452 (407–496)    No 1,324,451 5.9 (5.4–6.4) 73 (67–80) Difficulty performing errands alone    Yes 650,112 29.4 (26.0–33.0) 717 (600–834)    No 2,072,807 7.6 (7.2–8.1) 114 (106–121) Difficulty dressing/bathing    Yes 454,702 32.0 (28.4–35.9) 766 (633–899)    No 2,280,876 8.2 (7.7–8.7) 128 (118–138) Any physical activity in past month    Yes 1,620,337 7.7 (7.2–8.3) 121 (108–133)    No 1,118,474 13.4 (12.3–14.7) 258 (234–282) 75–84 years Overall 1,634,953 10.6 (9.8–11.3) 170 (156–185) Sex Male 547,968 8.6 (7.4–9.9) 141 (118–164) Female 1,085,428 12.0 (11.1–12.9) 192 (173–210) Race/Ethnicity White 1,355,522 11.0 (10.3–11.8) 179 (164–195) Black 115,601 9.3 (5.4–15.7) 112 (61–162) American Indian/Alaska Native 7,702 9.4 (5.6–15.4) 179 (78–280) Asian/Pacific Islander 9,402 — — Hispanic 90,085 8.4 (5.9–11.8) 135 (82–187) Multiple/Other 21,322 10.6 (7.5–14.8) 173 (99–246) Geography Urban 1,338,288 10.6 (9.7–11.5) 167 (151–183) Rural 296,606 10.4 (9.5–11.5) 185 (149–222) Self-reported health Excellent 112,211 6.6 (4.8–8.9) 80 (56–103) Very good 301,804 6.9 (5.9–8.0) 82 (69–94) Good 538,594 10.2 (8.7–11.8) 139 (120–157) Fair 382,369 13.8 (12.3–15.4) 260 (220–300) Poor 286,516 22.3 (19.2–25.7) 527 (408–647) Functional characteristics Blind/Difficulty seeing    Yes 190,201 15.8 (13.4–18.5) 338 (258–419)    No 1,440,008 10.1 (9.4–10.9) 156 (142–170) Difficulty concentrating    Yes 294,225 19.2 (16.6–22.2) 398 (324–472)    No 1,326,930 9.6 (8.8–10.4) 145 (131–159) Difficulty walking/Climbing stairs    Yes 889,083 18.9 (17.1–20.8) 360 (320–401)    No 731,862 6.8 (6.2–7.5) 86 (76–96) Difficulty performing errands alone    Yes 404,429 25.2 (21.3–29.4) 511 (432–591)    No 1,222,743 8.8 (8.2–9.5) 130 (118–143) Difficulty dressing/Bathing    Yes 248,895 30.1 (24.0–37.0) 636 (524–749)    No 1,379,549 9.4 (8.8–10.1) 144 (130–157) Any physical activity in past month    Yes 964,611 9.5 (8.6–10.5) 141 (125–157)    No 665,922 12.5 (11.4–13.7) 226 (198–254) ≥85 years Overall 672,460 13.9 (12.5–15.4) 227 (179–276) Sex Male 246,677 13.4 (11.0–16.2) 265 (148–382) Female 424,896 14.3 (12.7–16.1) 205 (175–236) Race/Ethnicity White 573,048 14.5 (13.0–16.1) 222 (186–257) Black 31,894 10.5 (7.1–15.2) 119 (74–164) American Indian/Alaska Native 5,673 — — Asian/Pacific Islander 3,084 — — Hispanic 33,270 — — Multiple/Other 9,182 — — Geography Urban 542,610 13.6 (12.1–15.2) 216 (163–268) Rural 129,850 15.6 (12.1–19.8) 283 (155–410) Self-reported health Excellent 36,352 8.2 (5.3–12.3) 96 (59–133) Very good 99,273 8.2 (6.5–10.4) 100 (77–123) Good 235,192 13.6 (11.4–16.1) 216 (150–282) Fair 146,101 15.1 (12.5–18.2) 203 (165–241) Poor 153,272 33.4 (26.5–41.1) 788 (367–1210) Functional characteristics Blind/Difficulty seeing    Yes 149,020 22.4 (17.6–28.0) —    No 515,339 12.5 (11.1–14.0) 187 (154–221) Difficulty concentrating    Yes 168,017 23.4 (17.8–30.2) 532 (234–831)    No 497,790 12.3 (11.1–13.7) 174 (150–198) Difficulty walking/climbing stairs    Yes 407,155 21.0 (18.5–23.7) 366 (261–470)    No 259,223 9.1 (7.6–10.9) 133 (91–174) Difficulty performing errands alone    Yes 264,445 26.2 (22.1–30.7) 424 (311–536)    No 397,969 10.5 (9.3–11.9) 174 (120–227) Difficulty dressing/bathing    Yes 129,643 30.9 (24.5–38.2) —    No 537,943 12.2 (10.9–13.7) 176 (144–207) Any physical activity in past month    Yes 333,302 12.3 (10.5–14.4) 171 (142–201)    No 336,507 15.9 (13.8–18.3) 298 (194–403) Abbreviation: CI = confidence interval. * Weighted number of fall-related injuries per 1,000 older adults. † Weighted number of adults aged ≥65 years reporting at least one fall-related injury in the past year. Because of varying question-specific nonresponse, sample sizes might vary among questions. § Weighted percentage of older adults reporting at least one fall-related injury in the past year. ¶ Whites, blacks, American Indians/Alaska Natives, Asians/Pacific Islanders, and others/unknown were non-Hispanic; Hispanics could be of any race. ** Dashes indicate sample size 30%. Among states in which falls and fall injuries were consistently reported across years (excluding Michigan, Oregon, and Wisconsin where data in 2012 were reported differently than in other years), the percentage of those older adults reporting a fall increased from 27.9% in 2012 to 29.6% in 2016 (p<0.001) and decreased to 27.4% in 2018 (p<0.001) (Figure). The rates of falls and fall-related injuries and the percentages of older adults reporting a fall-related injury did not significantly change from 2012 to 2018. FIGURE Percentages and rates of self-reported falls and fall-related injuries among adults aged ≥65 years, by age group — Behavioral Risk Factor Surveillance System, United States,* 2012–2018 * Data from Michigan, Oregon, and Wisconsin were omitted because of the difference in the way these states collected information about falls during 2012, compared with the rest of the states. The figure is a series of four panels showing the percentages and rates of self-reported falls and fall-related injuries among adults aged ≥65 years, by age group, in the United States, from data reported in the Behavioral Risk Factor Surveillance System in 2012, 2014, 2016, and 2018. Discussion The percentage of older adults reporting a fall increased from 2012 to 2016, followed by a modest decline from 2016 to 2018. Although statistically significant, these changes were small. Even with this decrease in 2018, older adults reported 35.6 million falls. Among those falls, 8.4 million resulted in an injury that limited regular activities for at least a day or resulted in a medical visit. In the United States, health care spending on older adult falls has been approximately $50 billion annually ( 3 ). In 2018, approximately 52 million adults were aged ≥65 years § by 2030, this number will increase to approximately 73 million. ¶ Despite no significant changes in the rate of fall-related injuries from 2012 to 2018, the number of fall-related injuries and health care costs can be expected to increase as the proportion of older adults in the United States grows. Adults aged ≥85 years were more likely to report a fall or fall-related injury in the preceding year than were those aged <85 years. Currently, adults aged ≥85 years account for <2% of the population; by 2050 this proportion is projected to increase to 5%. Many fall risk factors increase with age, including chronic health conditions related to falls, increased use of medications, and functional decline ( 4 ). More research is needed to determine how fall risk factors differ among persons aged ≥85 years and to identify targeted interventions that could adequately address the needs of these adults. The findings in this report are subject to at least five limitations. First, because BRFSS data are self-reported, they are subject to recall bias, especially for falls that did not result in injury or that occurred several months before the survey ( 5 ). Second, this survey is cross-sectional. Although functional abilities, health status, and physical activity were all associated with falls and fall-related injuries, it is not possible to determine whether these factors preceded the fall or resulted from a fall. Third, BRFSS does not include older adults living in nursing homes, which might have led to an underestimation of falls and fall-related injuries, especially among adults aged ≥85 years ( 6 ). Fourth, the response rate (median response rate of 49.9%) could result in non-response bias, however BRFSS data are weighted to adjust for some of this bias. Finally, the results of the trend analyses were derived from only four time points. Future analyses with more time points might describe these trends with more certainty. Regardless of age group, higher percentages of older adults who reported no physical activity in the past month or reported difficulty with one or more functional characteristics (difficulty walking up or down stairs, dressing and bathing, and performing errands alone) reported falls and fall-related injuries. These risk factors are frequently modifiable suggesting that, regardless of age, many falls might be prevented. Older adults of any age can, together with their health care providers, take steps to reduce their risk for falls. CDC created the Stopping Elderly Accidents, Deaths & Injuries (STEADI) initiative, which offers tools and resources for health care providers to screen their older patients for fall risk, assess modifiable fall risk factors, and to intervene with evidence-based fall prevention interventions (https://www.cdc.gov/steadi). These include medication management, vision screening, home modifications, referral to physical therapists who can address problems with gait, strength, and balance, and referral to effective community-based fall prevention programs. As the proportion of older adults living in the United States continues to grow, so too will the number of falls and fall-related injuries. However, many of these falls are preventable. To help keep older adults living independently and injury-free, reducing fall risk and fall-related injuries is essential. Summary What is already known about this topic? Falls are the leading cause of injury among adults aged ≥65 years, who in 2014 experienced an estimated 29 million falls, resulting in 7 million fall-related injuries. What is added by this report? In 2018, 27.5% of adults aged ≥65 years reported at least one fall in the past year (35.6 million falls) and 10.2% reported a fall-related injury (8.4 million fall-related injuries). From 2012 to 2016, the percentages of these adults reporting a fall increased, and from 2016 to 2018, the percentages decreased. What are the implications for public health practice? Falls and fall-related injuries are highly prevalent but are preventable. Health care providers play a crucial role and can help older adults reduce their risk for falls.
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                Author and article information

                Journal
                Cureus
                Cureus
                2168-8184
                Cureus
                Cureus (Palo Alto (CA) )
                2168-8184
                1 November 2023
                November 2023
                : 15
                : 11
                : e48091
                Affiliations
                [1 ] Surgery, University of South Carolina School of Medicine Columbia, Columbia, USA
                [2 ] Trauma, Grand Strand Medical Center, Myrtle Beach, USA
                [3 ] Surgery, Grand Strand Medical Center, Myrtle Beach, USA
                Author notes
                Article
                10.7759/cureus.48091
                10690672
                38046747
                91b71791-ed7f-443e-b5e7-cc6afbeec84f
                Copyright © 2023, Boscia et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 November 2023
                Categories
                Epidemiology/Public Health
                Trauma

                social disparities,elderly falls,facial trauma,age effects,facial fracture

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