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. Author manuscript; available in PMC: 2021 Sep 1.
Published in final edited form as: J Safety Res. 2020 Jun 25;74:125–131. doi: 10.1016/j.jsr.2020.06.001

Fall-related emergency department visits involving alcohol among older adults

Iju Shakya a,*, Gwen Bergen b, Yara K Haddad c, Ramakrishna Kakara a, Briana L Moreland d
PMCID: PMC8025787  NIHMSID: NIHMS1688081  PMID: 32951773

Abstract

Problem:

Falls are the leading cause of injury deaths among adults aged 65 years and older. Characteristics of these falls may vary with alcohol use.

Objective:

Describe and compare characteristics of older adult fall-related emergency department (ED) visits with indication of alcohol to visits with no indication.

Methods:

Using nationally-representative 2015 National Electronic Injury Surveillance System-All Injury Program data, we compared demographic characteristics for fall-related ED visits by indication of alcohol consumption. Alcohol-indicated ED visits were matched on age group, sex, treatment month, and treatment day to ED visits with no alcohol indication using a 1:4 ratio and injury characteristics (i.e., diagnosis, body part injured, disposition) were compared.

Results and discussion:

Of 38,640 ED records, 906 (1.9%) indicated use of alcohol. Fall-related ED visits among women were less likely to indicate alcohol (1.0%) compared to ED visits among men (3.8%). ED visits indicating alcohol decreased with age from 4.1% for those 65–74 years to 1.5% for those 75–84 and <1% for those 85+. After controlling for age-group, sex, and month and day of treatment, 17.0% of ED visits with no alcohol indication had a traumatic brain injury compared to 34.8% of alcohol-indicated ED visits.

Practical applications:

Alcohol-indicated fall ED visits resulted in more severe head injury than those that did not indicate alcohol. To determine whether alcohol use should be part of clinical risk assessment for older adult falls, more routinely collected data and detailed information on the amount of alcohol consumed at the time of the fall are needed.

Keywords: Aged, Accidental falls, Alcohol drinking, Wounds and injuries, Emergency service, Hospital

1. Introduction

Unintentional falls among older adults, aged 65 years and older, are a significant public health issue. In the United States, falls result in over 32,000 deaths, three million emergency department (ED) visits, and more than 950,000 hospitalizations per year (Centers for Disease Control and Prevention, 2020), and cost $50 billion in annual healthcare expenses (Florence et al., 2018).

Alcohol use among older adults has increased over time (Glover & Gold, 2017; Moos, Schutte, Brennan, & Moos, 2009). Given how alcohol is absorbed and metabolized in the body, alcohol use could be an especially important risk factor for older adult falls and severe fall injury. Aging is associated with physiological changes including decreased renal function, less efficient enzymatic activity, and low body water volume (Heuberger, 2009). Because of these changes, older adults metabolize and eliminate alcohol at slower rates, leading to a higher concentration of alcohol in the blood than a similar amount would yield among younger adults (Barry & Blow, 2016; National Institute on Alcohol Abuse and Alcoholism, 2020). Alcohol also impairs gait and balance (Sullivan, Rosenbloom, Deshmukh, Desmond, & Pfefferbaum, 1995), reduces cognitive function (Sullivan et al., 1995), and can interact with certain medications exacerbating drowsiness and unsteadiness (Holton, Gallagher, Fahey, & Cousins, 2017; Moore, Whiteman, & Ward, 2007), all of which are risk factors for a fall (Ambrose, Paul, & Hausdorff, 2013).

The association between alcohol use and falls among older adults remain unclear. Most studies examined average alcohol consumption (e.g., drinks per day, drinks per week) rather than alcohol consumption at the time of the fall (Bergen, Stevens, Kakara, & Burns, 2019; Cawthon et al., 2006; Chang & Do, 2015; Grundstrom, Guse, & Layde, 2012; Mukamal et al., 2004; Reid, Boutros, O’Connor, Cadariu, & Concato, 2002; Tait, French, Burns, Byles, & Anstey, 2013), which makes it difficult to determine if alcohol is a risk factor for falls. Methodological differences among studies also make it challenging to draw sound conclusions. For example, one study used both cross-sectional and longitudinal analyses and found conflicting findings (Mukamal et al., 2004). In the longitudinal analysis, consumers of 14 or more drinks per week had a significantly higher fall risk, whereas the same group of drinkers had the lowest fall risk in the cross-sectional analysis. Several analyses that studied alcohol consumption 6 hours prior to an injury showed that risk of fall injury increased with increasing alcohol use (Cherpitel, Ye, Bond, Borges, & Monteiro, 2015; Taylor et al., 2010). However, these analyses were not focused on adults aged 65 and over.

Studies on fall-related injuries have found that compared to sober patients, alcohol-intoxicated patients suffer more injuries to the head (Chatha, Sammy, Hickey, Sattout, & Hollingsworth, 2018; Johnston & McGovern, 2004; Woods, Jones, & Usher, 2019). However, these studies also included younger persons (<65 years) and broader age groups (>12 years). The relationship between alcohol use at the time of the fall and severity of fall injuries may differ in older adults compared to younger persons. To our knowledge, there are no studies showing the relationship of alcohol use at the time of the fall with severity or other characteristics of older adult fall injuries.

Understanding the impact of alcohol on severity of fall injury, among older adults, may be used to inform injury prevention and management, and to put alcohol-related prevention efforts, such as alcohol screening, in place. This study’s objective is to explore the demographic and injury characteristics of older adults with ED records indicating alcohol use when being treated for fall injuries. The study also compares injury characteristics between fall-related ED visits with indication of alcohol use to visits with no indication.

2. Methods

2.1. Data source

Data from the 2015 National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) were used to determine the characteristics of fall injuries treated in EDs by indication for acute alcohol consumption. NEISS-AIP is operated by the U.S. Consumer Product Safety Commission and the Centers for Disease Control and Prevention (CDC). NEISS is comprised of a nationally representative sample of 100 hospitals with EDs selected based on size, population served (adult vs. child), and geographic location. NEISS-AIP collects injury data from a subsample of 66 out of the 100 NEISS hospital EDs, and provides information such as consumer product involvement, injury diagnosis, disposition, and a brief narrative describing the injury circumstance (U.S. Consumer Product Safety Commission, 2001).

3. Fall ED cases with indication of alcohol use

The NEISS-AIP dataset contained 38,654 records of nonfatal older adult fall-related injuries treated in EDs. To identify alcohol-indicated fall ED visits, we read and coded all 38,654 text narratives for any mention of alcohol. A fall ED visit was considered to “indicate alcohol use” if terms such as alcohol, drinking, blood alcohol concentration or BAC, ethanol or ETOH, intoxication, alcohol on breath or AOB, binge, or any types of alcoholic beverage were mentioned. Four researchers coded the narratives. For consistency, 10% of each coder’s narratives were verified, and discrepancies resolved with consensus from all four researchers (codebook in Appendix A). Previously coded narratives were recoded based on updates made to the codebook. NEISS-AIP assigns up to two product codes per case. We searched for product code 1903, alcoholic beverage, to verify alcohol involvement. When the product code and the narratives conflicted (n = 83), we used the narratives to determine whether a case indicated alcohol use.

4. Other analysis variables

As part of a larger study, the text narratives were also used to create new variables for residential status, and primary body part injured (Appendix A). Residential status was coded as community dwelling, residential facility, or in prison. Primary body part injured included the following categories: head, face, upper extremity, lower extremity, upper trunk, hip and pelvis, back and spine, and unknown body part. These categories were based on a modified Barell Matrix, which classifies injury by body region (Barell et al., 2002), and provided more descriptive categories than coded in NEISS-AIP (Appendix A).

We also recategorized the following NEISS-AIP variables: diagnosis, disposition, treatment month of year, and treatment day of week. The diagnosis variable included only the principal injury diagnosis, which was regrouped based on the modified Barell Matrix (Barell et al., 2002), as internal injury (including concussion), flesh wound injury (laceration, puncture wound, avulsion), superficial injury (contusion, abrasion, hematoma), fracture/dislocation, and other (e.g., strain/sprain, burn, amputation, foreign body, nerve damage, dental injury). Disposition categories were regrouped as treated/released, hospitalized/transferred, and other (observation only, left against medical advice, and unspecified). Treatment month of year was grouped into quarters and treatment day of week (Mon-Sun) was dichotomized into treatment day (weekday, weekend). Weekday was defined as occurring on Monday to Friday and weekend as occurring on Saturday or Sunday. Age group consisted of three categories: 65–74, 75–84, and 85+.

We designated traumatic brain injuries (TBIs) and hip and pelvic fractures as serious injuries because falls are the leading cause of both TBIs and hip fractures among older adults (Parkkari et al., 1999; Taylor, Bell, Breiding, & Xu, 2017). A case was considered to be a TBI if the primary body part affected was the head and the principal injury diagnosis was internal injury or concussion (Sarmiento et al., 2019). A case was considered a hip and pelvic fracture when the primary body part affected was the hip or pelvis and the principal injury diagnosis was a fracture or dislocation.

5. Analysis

Analysis excluded cases in prison (n = 9), and cases where we were uncertain about alcohol involvement because the product codes and narratives conflicted (n = 5). This resulted in a final sample of 38,640 observations, which represents an estimated 3,036,479 ED visits. Frequencies, percentages, and 95% confidence intervals (CIs) were computed for demographic characteristics by alcohol consumption. All percentages and CIs were weighted, and non-overlapping CIs were used to determine statistical significance. A linear trend test was conducted by modeling age group as a continuous variable in a logistic regression model.

To investigate injury characteristics by alcohol consumption, each alcohol-indicated fall ED visit was matched with four ED visits that did not indicate alcohol (controls). Four was the maximum number of controls available for all cases. Controls were randomly matched on age group, sex, treatment month of year, and treatment day of week (Mon-Sun) to make the two groups as similar as possible. Codes for matching were adapted from Mortensen (Mortensen, Andresen, Burcharth, Pommergaard, & Rosenberg, 2019). Weighted percentages and CIs were calculated to compare injury diagnosis, serious injuries, primary body part affected due to the injury, and disposition. All analyses were performed using SAS 9.4.

6. Results

Of the 38,640 fall-related ED visits, 906 (1.9%; CI: 1.8, 2.1) of the ED visits indicated alcohol use, representing an estimated 59,077 ED visits. Fall-related ED visits among women were less likely to indicate alcohol (1.0%; CI: 0.8, 1.1) compared to ED visits among men (3.8%; CI: 3.4, 4.2) (Table 1). ED visits indicating alcohol use decreased significantly (p < 0.001) with advancing age from 4.1% for those 65–74 years to 1.5% for those 75–84 and <1% for those 85+. A higher percentage of weekend visits (2.4%; CI: 2.1, 2.8) indicated alcohol use compared to weekday visits (1.7%; CI: 1.6, 1.9).

Table 1.

Characteristics of adults aged ≥65 years treated in an emergency department (ED) for falls by alcohol use indication, National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP), United States, 2015.

Characteristics Fall ED visits with indication of alcohol use Fall ED visits with no indication of alcohol use
n1 %* 95% CI n1 %* 95% CI
Total 906 1.9 1.8, 2.1 37,734 98.1 97.9, 98.2
Sex
Women 271 1.0 0.8, 1.1 25,019 99.0 98.9, 99.2
Men 635 3.8 3.4, 4.2 12,715 96.2 95.8, 96.6
Age group
65–74 642 4.1 3.7, 4.5 12,476 95.9 95.5, 96.3
75–84 216 1.5 1.2, 1.7 12,682 98.5 98.3, 98.8
85+ 48 0.3 0.2, 0.4 12,576 99.7 99.6, 99.8
Treatment month
Jan, Feb, Mar 228 1.9 1.6, 2.2 10,154 98.1 97.8, 98.4
Apr, May, Jun 229 1.9 1.6, 2.3 9341 98.1 97.7, 98.4
Jul, Aug, Sep 231 2.1 1.7, 2.4 9354 98.0 97.6, 98.3
Oct, Nov, Dec 218 1.9 1.6, 2.2 8885 98.1 97.8, 98.4
Treatment day^
Weekend 306 2.4 2.1, 2.8 10,550 97.6 97.2, 97.9
Weekday 600 1.7 1.6, 1.9 27,184 98.3 98.1, 98.4

Abbreviation: CI = confidence interval.

1

Unweighted number.

*

Weighted percent.

^

Weekend (Saturday, Sunday), Weekday (Monday-Friday).

When comparing older adults of the same sex, age group, and treatment month and day, the percent of alcohol-indicated fall visits with a head injury was 50.2% (CI: 45.9, 54.5), compared to 24.5% (CI: 22.8, 26.3) for visits that did not indicate alcohol use (Fig. 1). Facial injuries were also more common for alcohol-indicated fall visits (20.2%; CI: 16.7, 23.7) compared to visits with no alcohol indication (12.5%; CI: 11.1, 13.9). Fall visits with no alcohol indication included more injuries to the upper (19.1%; CI: 17.5, 20.7) and lower extremities (16.2%; CI: 14.6, 17.7) compared to alcohol-indicated visits (11.7%; CI: 9.0, 14.3, & 5.8%; CI: 3.8, 7.8, respectively).

Fig. 1.

Fig. 1.

Primary body part injured for older adult fall emergency department visits by whether alcohol consumption was indicated, National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP), 2015. Error bars show 95% confidence intervals. Cases and controls matched on age group, sex, treatment month of year, and treatment day of week (Monday-Sunday) (ratio = 1:4). Data for unknown body part not shown due to unstable estimates. Refer to Appendix A for definitions of body part included in Fig. 1.

Injury diagnoses for alcohol-indicated fall visits compared with visits that did not indicate alcohol use were more likely to be for internal injury (35.0% vs 17.3%) or flesh wound (22.1% vs 13.8%), and less likely to be fracture/dislocation (18.0% vs 31.9%) (Table 2). Alcohol-indicated fall visits were more likely to have a diagnosis for a TBI (34.8%; CI: 30.7, 38.9) compared to fall visits with no alcohol indication (17.0%; CI: 15.4, 18.5). Fall ED visits with no indication of alcohol use were more likely to have diagnoses for hip and pelvic fractures (7.6%; CI: 6.4, 8.7) than alcohol-indicated fall visits (2.8%; CI: 1.3, 4.3). Furthermore, 31.9% of ED cases indicating alcohol were hospitalized compared to 25.8% of cases that did not indicate alcohol.

Table 2.

Injury severity of adults aged ≥65 years treated in an emergency department for falls indicating alcohol use (cases) compared to matched controls not indicating alcohol use, National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP), 2015.

Injury characteristics Cases with indication of alcohol use (n = 906) Controls with no indication of alcohol use (n = 3624)2
n1 %* 95% CI n1 %* 95% CI
Injury diagnosis3
Internal injury 327 35.0 30.9, 39.1 695 17.3 15.8, 18.8
Flesh wound injury 181 22.1 18.4, 25.8 478 13.8 12.4, 15.2
Superficial injury 172 21.5 17.9, 25.0 852 25.1 23.3, 26.9
Fracture/dislocation 193 18.0 14.9, 21.2 1175 31.9 30.0, 33.9
Other 33 3.5 1.8, 5.1 424 11.9 10.6, 13.3
Serious injuries
Traumatic brain injury 325 34.8 30.7, 38.9 681 17.0 15.4, 18.5
Hip and pelvic fracture 27 2.8 1.3, 4.3 263 7.6 6.4, 8.7
Disposition
Treated/released 526 61.7 57.6, 65.8 2559 72.8 71.0, 74.6
Transferred/hospitalized 325 31.9 27.9, 35.8 1007 25.8 24.0, 27.6
Other 55 6.5 4.6, 8.3 58 1.4 0.9, 1.9

Abbreviation: CI = confidence interval.

1

Unweighted number.

*

Weighted percent.

2

Matched on age group, sex, treatment month of year, and treatment day of week (Monday-Sunday) (ratio = 1:4).

3

Injury diagnosis defined as (1) internal injury (including concussion); (2) flesh wound injury (including laceration, puncture wound, and avulsion); (3) superficial injury (including contusion, abrasion, hematoma); (4) fracture/dislocation; (5) other (e.g., strain/sprain, burn, amputation, foreign body, nerve damage, dental injury).

7. Discussion

Our study used nationally-representative ED data to compare older adult fall injury visits by indication of alcohol consumption. Fall-related ED visits among older men were more likely to indicate alcohol use than ED visits among older women. The percent of fall-related ED visits indicating alcohol decreased with increasing age group. Older men are more likely than older women to have three or more drinks per day and, for both sexes, such drinking pattern decreased with increasing age (Moos, Schutte, Brannan, & Moos, 2009).

Due to lower tolerance and higher sensitivity to alcohol, older adults can experience more pronounced effects from alcohol than younger adults (Barry & Blow, 2016; National Institute on Alcohol Abuse and Alcoholism, 2020). Moreover, alcohol use among older adults is increasing, and at levels exceeding the recommended limits (Glover & Gold, 2017; Moos et al., 2009). Adults of legal drinking age are recommended to limit drinks to one per day for women and up to two drinks per day for men (U.S. Department of Health and Human Services and U.S. Department of Agriculture, 2015). A study of Medicare beneficiaries showed that 9% of older adults consumed more than 30 drinks per month or more than three drinks in a day, increasing their risk of alcohol-related harms (Merrick et al., 2008). Among binge drinkers, older adults tended to binge drink more frequently than younger adults (Kanny, Naimi, Liu, Lu, & Brewer, 2018). Using the Nationwide Emergency Department Sample, White et al. found that the rate of ED visits, between 2006 and 2014, for acute and chronic alcohol consumption increased for those aged 65 and above (White, Slater, Ng, Hingson, & Breslow, 2018). The same study also reported adults aged 65 and over as having the second highest rate of chronic alcohol-related ED visits compared with all other age groups.

For alcohol-indicated fall ED visits, more than two-thirds of injuries were to the head and face, as compared to visits with no alcohol indication where only about a third of injuries were to the head and face, a finding consistent with previous studies (Chatha et al., 2018; Johnston & McGovern, 2004; Woods et al., 2019; Yoonhee et al., 2009). An older adult under the influence of alcohol might have reduced self-protective reflexes, which means they may not break the fall with their upper extremities, potentially making them more likely to have face and head injuries (Johnston & McGovern, 2004; Woods et al., 2019). With advancing age, older adults are at an increased risk of subdural hematoma, which increases risk of sustaining a TBI when they fall and hit their head (Karibe et al., 2017). TBIs often result in high mortality and morbidity in older adults (Peterson & Kegler, 2020; Taylor et al., 2017). Alcohol-indicated fall visits showing more TBI cases calls for proactive efforts to better understand the link between alcohol and falls.

We found that hip fractures were less likely among alcohol-indicated fall ED visits than visits with no indication of alcohol. This could simply be because people under the influence of alcohol fell landing on the head as described above and therefore those falls did not impact the hip region. Another reason could be related to the relationship between alcohol consumption and hip fracture risk. A recent meta-analysis reported that light alcohol consumption reduces the risk for hip fracture, while heavy alcohol consumption increases the hip fracture risk (Zhang, Yu, Yu, & Qu, 2015). Our study does not have information on the amount and frequency of alcohol consumed to validate these findings. A key point is that there is not sufficient evidence regarding alcohol’s effect on fall-related injuries to fully understand the relationship.

The majority of studies on older adult falls and alcohol do not measure alcohol consumption prior to the fall but instead use self-reported alcohol consumption patterns (Bergen et al., 2019; Cawthon et al., 2006; Chang & Do, 2015; Grundstrom et al., 2012; Mukamal et al., 2004; Tait et al., 2013), making it difficult to support a direct relationship. The current study used narratives and codes on the ED record to identify fall injuries that were related to alcohol consumption when the fall occurred. This study identified about 2% of older adult falls as being related to alcohol consumption, Analyses may underestimate the role of alcohol in fall-related ED visits among older adults because alcohol use in relation to injury deaths is historically underreported (Castle, Yi, Hingson, & White, 2014; Smith, Branas, & Miller, 1999) and is possibly not assessed in ED visits, as most EDs do not screen all patients for alcohol consumption (Cunningham et al., 2010). Previous studies that used ED records to analyze the characteristics and outcomes of falls among older adults found a higher percent of records (11% and 20%) indicated alcohol use compared to the current study (Bell, Talbot-Stern, & Hennessy, 2000; Paniagua, Malphurs, & Phelan, 2006). These studies were conducted in one ED setting each and had smaller sample sizes.

Our study has at least six limitations. First, we used the NEISS-AIP text narratives and product codes to identify alcohol-indicated fall ED visits. These methods might not have captured all falls related to alcohol because: (a) EDs do not routinely screen patients for alcohol use on admission; (b) ED staff might not have time to test or ask about alcohol while treating serious cases; (c) patients might not reveal their alcohol use; (d) NEISS-AIP does not capture the amount of alcohol consumed; and (e) there might be a lag time between when the injury occurred and the ED visit. Second, alcohol was likely tested and recorded only for cases with noticeable evidence of intoxication, such as smell of alcohol. An undercount of ED visits related to alcohol use means that the relationship of alcohol to serious injury might have been biased the results away from the null. Third, we included all narratives that mentioned alcohol, but do not know if alcohol was a contributing cause of the injury event. Fourth, because the 2015 NEISS-AIP recorded only the principal diagnosis and we recorded only the primary body part affected, other injuries associated with alcohol-related cases were likely missed. This may have led to an underestimation of injuries, such as TBIs, if those were listed as secondary diagnoses for ED visits. Moreover, our definition might have missed cases of TBI that were classified as fracture of the head, which would be diagnosed as fracture under NEISS-AIP’s general diagnosis coding scheme. Fifth, there might be other underlying characteristics such as chronic comorbidities that we did not match on that might explain the differences between cases and controls. Finally, these are cases of older adult falls that resulted in an ED visit. We do not know about cases that did not report to an ED following an alcohol-related fall.

Each year, three million older adults are treated in an ED for fall injuries (Centers for Disease Control and Prevention, 2020). The fall injuries that indicated alcohol resulted in more severe head injury than those that did not. Our limited understanding of the relationship between alcohol and older adult falls restricts fall prevention efforts. CDC’s Stopping Elderly Accidents, Deaths, and Injuries (STEADI) initiative, designed to help healthcare providers practice older adult fall prevention, does not include alcohol as a risk factor due to the limited evidence (Centers for Disease Control and Prevention, 2019). Information on the amount of alcohol consumed prior to a fall could define the role of alcohol as a risk factor for falls and related injuries, and determine whether alcohol use should be a part of clinical risk assessment for older adult falls.

Acknowledgement

We would like to thank Tadesse Haileyesus, MS, for his guidance with the National Electronic Injury Surveillance System-All Injury Program data and Marissa Esser, PhD, MPH, for her thoughtful reviews of the manuscript.

Funding source

No outside funding was used to support this work.

Appendix A. Codebook for NEISS-AIP narratives

Alcohol use (2 options):

  • Indication of alcohol use: if narrative includes terms such as alcohol, drinking, blood alcohol concentration or BAC, ethanol or ETOH, intoxication, alcohol on breath or AOB, binge, or any type of alcoholic beverages.

  • No indication of alcohol use: if narrative does not include any terms that could associate with alcohol consumption (examples above).

Residential status (3 options):

  • Community: if narrative does not specifically mention nursing home or prison. Code adult day care, senior center, and if visiting family member in a nursing home as community.

  • Residential facility: if narrative includes nursing home, skilled nursing facility, extended care facility, long-term care, assisted living, hospice, rehab, detox, Alzheimer’s unit, convalescent home, and group home.

  • Prison: if narrative includes jail, prison, or corrections facility.

Primary body part injured (8 options):

  • Head: if narrative includes head, skull, occipital or scalp for body part injured, or specifies concussion, cerebral injury, closed head injury, subdural hematoma, or intracranial or subarachnoid hemorrhage.

  • Face: if narrative includes other parts of the head and face including eye, ear, face, nose, teeth, mouth, chin.

  • Upper extremity: if narrative includes shoulder, rotator cuff injury, clavicle injury, upper arm, lower arm, elbow, wrist, hand, fingers.

  • Lower extremity: if narrative includes injury to upper leg, thigh, knee, lower leg, ankle, foot, toes.

  • Upper trunk: if narrative includes abdomen, chest, trunk, lower trunk with no specific mention of hip/pelvis/back.

  • Hip and pelvis: if narrative specifies hip injury, femoral neck injury, injury to pelvis, pubic region, urogenital injuries, buttocks, ischium, sacrum, or coccyx.

  • Back and spine: if narrative includes back, lower back, neck (cervical spine), and spinal injuries including thoracic, lumbar, spinal cord injuries or vertebral column injuries.

  • Unknown: for narratives that do not sufficiently describe body part injured or in cases of multiple injury sites when unable to identify which is most severe.

    Note: For narratives that contain multiple injury sites, we coded for the most severe injury type.

  • If the narrative contained both rib fracture and spine fracture, spine fracture was considered most severe.

  • If the narrative contained both hip and spine fractures, spine fracture was considered most severe.

  • If the injury reported included a complex fracture to a body part and a simple fracture to another body part, the complex fracture location was considered most severe.

Footnotes

The Journal of Safety Research has partnered with the Office of the Associate Director for Science, Division of Injury Prevention, National Center for Injury Prevention and Control at the CDC in Atlanta, Georgia, USA, to briefly report on some of the latest findings in the research community. This report is the 62nd in a series of “From the CDC” articles on injury prevention.

Declaration of interest

None.

Publisher's Disclaimer: Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

References

  1. Ambrose AF, Paul G, & Hausdorff JM (2013). Risk factors for falls among older adults: A review of the literature. Maturitas, 75(1), 51–61. [DOI] [PubMed] [Google Scholar]
  2. Barell V, Aharonson-Daniel L, Fingerhut LA, Mackenzie EJ, Ziv A, Boyko V, … Heruti R (2002). An introduction to the Barell body region by nature of injury diagnosis matrix. Injury Prevention, 8(2), 91–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Barry KL, & Blow FC (2016). Drinking over the lifespan: Focus on older adults. Alcohol Research, 38(1), 115–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bell AJ, Talbot-Stern JK, & Hennessy A (2000). Characteristics and outcomes of older patients presenting to the emergency department after a fall: A retrospective analysis. Medical Journal of Australia, 173(4), 179–182. [DOI] [PubMed] [Google Scholar]
  5. Bergen G, Stevens MR, Kakara R, & Burns ER (2019). Understanding modifiable and unmodifiable older adult fall risk factors to create effective prevention strategies [published online October 21, 2019]. American Journal of Lifestyle Medicine. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Castle IJ, Yi HY, Hingson RW, & White AM (2014). State variation in underreporting of alcohol involvement on death certificates: Motor vehicle traffic crash fatalities as an example. Journal of Studies on Alcohol and Drugs, 75(2), 299–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Cawthon PM, Harrison SL, Barrett-Connor E, Fink HA, Cauley JA, Lewis CE, … Cummings SR (2006). Alcohol intake and its relationship with bone mineral density, falls, and fracture risk in older men. Journal of the American Geriatrics Society, 54(11), 1649–1657. [DOI] [PubMed] [Google Scholar]
  8. Centers for Disease Control and Prevention. (2019). STEADI - older adult fall prevention [online]. [cited 2020 May 19]. Available at www.cdc.gov/steadi. In. Atlanta, GA: National Center for Injury Prevention and Control. [Google Scholar]
  9. Centers for Disease Control and Prevention. (2020). Web-based injury statistics query and reporting system (WISQARS) [online]. [cited 2020 May 19]. Available at www.cdc.gov/injury/wisqars. In. Atlanta, GA: National Center for Injury Prevention and Control. [Google Scholar]
  10. Chang VC, & Do MT (2015). Risk factors for falls among seniors: Implications of gender. American Journal of Epidemiology, 181(7), 521–531. [DOI] [PubMed] [Google Scholar]
  11. Chatha H, Sammy I, Hickey M, Sattout A, & Hollingsworth J (2018). Falling down a flight of stairs: The impact of age and intoxication on injury pattern and severity. Trauma, 20(3), 169–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cherpitel CJ, Ye Y, Bond J, Borges G, & Monteiro M (2015). Relative risk of injury from acute alcohol consumption: Modeling the dose-response relationship in emergency department data from 18 countries. Addiction, 110(2), 279–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cunningham RM, Harrison SR, McKay MP, Mello MJ, Sochor M, Shandro JR, … D’Onofrio G (2010). National survey of emergency department alcohol screening and intervention practices. Annals of Emergency Medicine, 55(6), 556–562. [DOI] [PubMed] [Google Scholar]
  14. Florence CS, Bergen G, Atherly A, Burns E, Stevens J, & Drake C (2018). Medical costs of fatal and nonfatal falls in older adults. Journal of the American Geriatrics Society, 66(4), 693–698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Glover J, & Gold JA (2017). Alcohol use increasing among adults 65 and older. WMJ, 116(3), 182–183. [PubMed] [Google Scholar]
  16. Grundstrom AC, Guse CE, & Layde PM (2012). Risk factors for falls and fall-related injuries in adults 85 years of age and older. Archives of Gerontology and Geriatrics, 54 (3), 421–428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Heuberger RA (2009). Alcohol and the older adult: A comprehensive review. Journal of Nutrition for the Elderly, 28(3), 203–235. [DOI] [PubMed] [Google Scholar]
  18. Holton AE, Gallagher P, Fahey T, & Cousins G (2017). Concurrent use of alcohol interactive medications and alcohol in older adults: A systematic review of prevalence and associated adverse outcomes. BMC Geriatrics, 17(1), 148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Johnston JJ, & McGovern SJ (2004). Alcohol related falls: An interesting pattern of injuries. Emergency Medicine Journal, 21(2), 185–188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Kanny D, Naimi TS, Liu Y, Lu H, & Brewer RD (2018). Annual total binge drinks consumed by U.S. adults, 2015. American Journal of Preventive Medicine, 54(4), 486–496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Karibe H, Hayashi T, Narisawa A, Kameyama M, Nakagawa A, & Tominaga T (2017). Clinical characteristics and outcome in elderly patients with traumatic brain injury: For establishment of management strategy. Neurologia Medico-Chirurgica (Tokyo), 57(8), 418–425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Merrick EL, Horgan CM, Hodgkin D, Garnick DW, Houghton SF, Panas L, … Blow FC (2008). Unhealthy drinking patterns in older adults: Prevalence and associated characteristics. Journal of the American Geriatrics Society, 56(2), 214–223. [DOI] [PubMed] [Google Scholar]
  23. Moore AA, Whiteman EJ, & Ward KT (2007). Risks of combined alcohol/medication use in older adults. The American Journal of Geriatric Pharmacotherapy, 5(1), 64–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Moos RH, Schutte KK, Brennan PL, & Moos BS (2009). Older adults’ alcohol consumption and late-life drinking problems: A 20-year perspective. Addiction, 104(8), 1293–1302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Mortensen LQ, Andresen K, Burcharth J, Pommergaard H-C, & Rosenberg J (2019). Matching cases and controls using SAS® software. Frontiers in Big Data, 2(4). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Mukamal KJ, Mittleman MA, Longstreth WT Jr., Newman AB, Fried LP, & Siscovick DS (2004). Self-reported alcohol consumption and falls in older adults: Cross-sectional and longitudinal analyses of the cardiovascular health study. Journal of the American Geriatrics Society, 52(7), 1174–1179. [DOI] [PubMed] [Google Scholar]
  27. National Institute on Alcohol Abuse and Alcoholism. (2020). Special populations & co-occurring disorders: older adults [online]. [cited 2020 Apr 1]. Available at https://www.niaaa.nih.gov/older-adults. In.
  28. Paniagua MA, Malphurs JE, & Phelan EA (2006). Older patients presenting to a county hospital ED after a fall: missed opportunities for prevention. American Journal of Emergency Medicine, 24(4), 413–417. [DOI] [PubMed] [Google Scholar]
  29. Parkkari J, Kannus P, Palvanen M, Natri A, Vainio J, Aho H, … Jarvinen M (1999). Majority of hip fractures occur as a result of a fall and impact on the greater trochanter of the femur: A prospective controlled hip fracture study with 206 consecutive patients. Calcified Tissue International, 65(3), 183–187. [DOI] [PubMed] [Google Scholar]
  30. Peterson AB, & Kegler SR (2020). Deaths from fall-related traumatic brain injury - United States, 2008–2017. MMWR. Morbidity and Mortality Weekly Report, 69(9), 225–230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Reid MC, Boutros NN, O’Connor PG, Cadariu A, & Concato J (2002). The health-related effects of alcohol use in older persons: A systematic review. Substance Abuse, 23(3), 149–164. [DOI] [PubMed] [Google Scholar]
  32. Sarmiento K, Thomas KE, Daugherty J, Waltzman D, Haarbauer-Krupa JK, Peterson AB, … Breiding MJ (2019). Emergency department visits for sports- and recreation-related traumatic brain injuries among children - United States, 2010–2016. MMWR. Morbidity and Mortality Weekly Report, 68(10), 237–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Smith GS, Branas CC, & Miller TR (1999). Fatal nontraffic injuries involving alcohol: A metaanalysis. Annals of Emergency Medicine, 33(6), 659–668. [PubMed] [Google Scholar]
  34. Sullivan EV, Rosenbloom MJ, Deshmukh A, Desmond JE, & Pfefferbaum A (1995). Alcohol and the cerebellum: Effects on balance, motor coordination, and cognition. Alcohol Health and Research World, 19(2), 138–141. [PMC free article] [PubMed] [Google Scholar]
  35. Tait RJ, French DJ, Burns RA, Byles JE, & Anstey KJ (2013). Alcohol, hospital admissions, and falls in older adults: A longitudinal evaluation. International Psychogeriatrics, 25(6), 901–912. [DOI] [PubMed] [Google Scholar]
  36. Taylor B, Irving HM, Kanteres F, Room R, Borges G, Cherpitel C, … Rehm J (2010). The more you drink, the harder you fall: A systematic review and meta-analysis of how acute alcohol consumption and injury or collision risk increase together. Drug and Alcohol Dependence, 110(1–2), 108–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Taylor CA, Bell JM, Breiding MJ, & Xu L (2017). Traumatic brain injury-related emergency department visits, hospitalizations, and deaths - United States, 2007 and 2013. MMWR Surveillance Summaries, 66(9), 1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. U.S. Consumer Product Safety Commission. (2001). The NEISS sample (design and implementation) 1997 to present. In. Washington, DC: Division of Hazard and Injury Data Systems. CPSC. [Google Scholar]
  39. U.S. Department of Health and Human Services and U.S. Department of Agriculture. (2015). 2015–2020 Dietary guidelines for Americans. 8th Edition [online]. [cited 2020 May 19]. Available at http://health.gov/dietaryguidelines/2015/guidelines/. In.
  40. White AM, Slater ME, Ng G, Hingson R, & Breslow R (2018). Trends in alcohol-related emergency department visits in the United States: Results from the nationwide emergency department sample, 2006 to 2014. Alcoholism, Clinical and Experimental Research, 42(2), 352–359. [DOI] [PubMed] [Google Scholar]
  41. Woods C, Jones R, & Usher K (2019). The impact of unintentional alcohol-related falls on emergency departments. Australas Emergency Care, 22(1), 22–27. [DOI] [PubMed] [Google Scholar]
  42. Yoonhee C, Jung K, Eo E, Lee D, Kim J, Shin D, Kim S, & Lee M (2009). The relationship between alcohol consumption and injury in ED trauma patients. The American Journal of Emergency Medicine, 27(8), 956–960. [DOI] [PubMed] [Google Scholar]
  43. Zhang X, Yu Z, Yu M, & Qu X (2015). Alcohol consumption and hip fracture risk. Osteoporosis International, 26(2), 531–542. [DOI] [PubMed] [Google Scholar]

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