A comprehensive assessment of risk factors for falls in middle-aged adults: co-ordinated analyses of cohort studies in four countries

Peeters, Geeske; Cooper, Rachel; Tooth, Leigh; Schoor, Natasja M. van; Kenny, Rose Anne

doi:10.1007/s00198-019-05034-2

Cited by 30 publications

(30 citation statements)

References 40 publications

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“…Falls were the dominating trauma mechanism (55%) with a marked increase from age group 50 years in line with recent studies (Steyerberg et al 2019). The late middle-aged (50-70 years) have recently been identified as a risk group, as they intersect with increasing comorbidity on one hand and keeping up physical and social activity on the other (Gale et al 2018;Peeters et al 2019). Thus, fall-preventing strategies ought to include this age-group as well.…”

Section: Discussionsupporting

confidence: 71%

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

et al. 2020

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Background: The vast majority of hospital admitted patients with traumatic brain injury (TBI) will have intracranial injury identified by neuroimaging, requiring qualified staff and hospital beds. Moreover, increased pressure in health care services is expected because of an aging population. Thus, a regular evaluation of characteristics of hospital admitted patients with TBI is needed. Oslo TBI Registry-Neurosurgery prospectively register all patients with TBI identified by neuroimaging admitted to a trauma center for southeast part of Norway. The purpose of this study is to describe this patient population with respect to case load, time of admission, age, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival. Methods: Data for 5 years was extracted from Oslo TBI Registry-Neurosurgery. Case load, time of admission, age, sex, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival was compiled and compared. Results: From January 1st, 2015 to December 31st, 2019, 2153 consecutive patients with TBI identified by neuroimaging were registered. The admission rate of TBI of all severities has been stable year-round since 2015. Mean age was 52 years (standard deviation 25, range 0-99), and 68% were males. Comorbidities were common; 28% with pre-injury ASA score of ≥3 and 25% used antithrombotic medication. The dominating cause of injury in all ages was falls (55%) but increased with age. Upon admission, the head injury was classified as mild TBI in 46%, moderate in 28%, and severe (Glasgow coma score ≤ 8) in 26%. Case load was stable without seasonal variation. Majority of patients (68%) were admitted during evening, night or weekend. 68% was admitted to intensive care unit. Length of hospital stay was 4 days (median, interquartile range 3-9). 30-day survival for mild, moderate and severe TBI was 98, 94 and 69%, respectively. Conclusions: The typical TBI patients admitted to hospital with abnormal neuroimaging were aged 50-79 years, often with significant comorbidity, and admitted outside ordinary working hours. This suggests the necessity for allhour presence of competent health care professionals.

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Section: Discussionsupporting

confidence: 71%

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

et al. 2020

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“…Of note, however, is that higher physical activity levels were associated with greater odds of falling in this sample of middle‐aged adults with OA. This differs to previous literature where adults over 50 years of age who were more active were less likely to fall (Peeters et al., 2019; Pereira, Baptista, & Infante, 2014; White et al., 2018). Given that no association was also observed between physical activity and falls in people with OA or those at high risk of developing OA (Soh et al., 2020), further work is needed to determine whether there may be a nonlinear association between mobility and falls in this group of individuals (Barker, Nitz, Low Choy, & Haines, 2012).…”

Section: Discussioncontrasting

confidence: 99%

“…We found that females were more likely to have fallen, which is consistent with patterns reported previously in both middle‐aged and older adults (Peeters, Cooper, Tooth, Schoor, & Kenny, 2019; World Health Organization, 2008), although prior studies have tended to include more women. Policies and programmes related to falls prevention may need to reflect a gender perspective.…”

Section: Discussionsupporting

confidence: 90%

“…The finding for medication use and falls was similar compared to other middle‐aged adults (Peeters et al., 2019). Specifically, we found that opioid use for joint pain was associated with an increased likelihood of reporting a fall (even after adjusting for multiple other factors), which is also consistent with that reported for older adults in general (Daoust et al., 2018).…”

Section: Discussionsupporting

confidence: 78%

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Prevalence and correlates of falls in a middle‐aged population with osteoarthritis: Data from the Osteoarthritis Initiative

Ofori‐Asenso

Ackerman

Soh

2020

Health Soc Care Community

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People with osteoarthritis (OA) are at a higher risk of falls and fall‐related injuries. However, there is limited knowledge of the burden and correlates of falls in middle‐aged people with OA. Using data from the Osteoarthritis Initiative, this study aimed to determine the prevalence and correlates of falls among middle‐aged people with OA. A total of 1,019 adults aged 45–64 years with OA were included in this cross‐sectional analysis. The prevalence of self‐reported falls in the past 12 months was calculated and relationships between demographic and clinical characteristics and falls history were explored via univariable and multivariable logistic regression. Of the study population (61.7% female), 43.7% (445/1,019) reported having had a fall in the last 12 months. In multivariable models, female sex (odds ratio [OR] 2.09, 95% confidence interval [CI] 1.50–2.90), Charlson score ≥1 (OR 1.90, 95% CI 1.42–2.55) and opioid use (OR 2.68, 95% CI 1.77–4.06) were associated with a higher likelihood of falls. Higher depression score, being White/Caucasian and higher educational attainment were also associated with a greater likelihood of falls. Having knee and hip OA was associated with a higher likelihood of falls (OR 1.79, 95% CI 1.24–2.59), compared to knee OA alone. In summary, previous falls history is concerningly common among middle‐aged adults with OA, with modifiable risk factors including depression and opioid use. Greater attention to falls prevention is therefore needed for this patient group, including screening for falls and tailoring existing falls prevention interventions.

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“…However, it is known that low atmospheric pressure can cause headaches, a feeling of dizziness and decreases in blood pressure among weather-sensitive people [ 47 , 48 , 49 ]. The association between dizziness and falls among middle-aged adults was found by Peeters et al [ 50 ] during the analysis of data from population-based cohort studies in Australia and the UK. One possible explanation for the phenomenon observed in our study is that days with average air temperatures and atmospheric pressures may be the most comfortable for outdoor activities, and thus the higher incidence could be due to higher outdoor exposure.…”

Section: Discussionmentioning

confidence: 76%

Weather Conditions and Outdoor Fall Injuries in Northwestern Russia

Unguryanu

Grjibovski

Trovik

et al. 2020

IJERPH

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This study aimed to investigate associations between the weather conditions and the frequency of medically-treated, non-fatal accidental outdoor fall injuries (AOFIs) in a provincial region of Northwestern Russia. Data on all non-fatal AOFIs that occurred from January 2015 through June 2018 (N = 1125) were extracted from the population-based Shenkursk Injury Registry (SHIR). Associations between the weather conditions and AOFIs were investigated separately for the cold (15 October–14 April) and the warm (15 April–14 October) seasons. Negative binomial regression was used to investigate daily numbers of AOFIs in the cold season, while zero-inflated Poisson regression was used for the warm season. The mean daily number of AOFIs was 1.7 times higher in the cold season compared to the warm season (1.10 vs. 0.65, respectively). The most typical accident mechanism in the cold season was slipping (83%), whereas stepping wrong or stumbling over something was most common (49%) in the warm season. The highest mean daily incidence of AOFIs in the cold season (20.2 per 100,000 population) was observed on days when the ground surface was covered by compact or wet snow, air temperature ranged from −7.0 °C to −0.7 °C, and the amount of precipitation was above 0.4 mm. In the warm season, the highest mean daily incidence (7.0 per 100,000 population) was observed when the air temperature and atmospheric pressure were between 9.0 °C and 15.1 °C and 1003.6 to 1010.9 hPa, respectively. Along with local weather forecasts, broadcasting warnings about the increased risks of outdoor falls may serve as an effective AOFI prevention tool.

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A comprehensive assessment of risk factors for falls in middle-aged adults: co-ordinated analyses of cohort studies in four countries

Abstract: A comprehensive assessment of risk factors for falls in middle-aged adults: coordinated analyses of cohort studies in four countries. Osteoporosis International.

Cited by 30 publications

References 40 publications

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

Prevalence and correlates of falls in a middle‐aged population with osteoarthritis: Data from the Osteoarthritis Initiative

Weather Conditions and Outdoor Fall Injuries in Northwestern Russia

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