Falls in older aged adults in 22 European countries: incidence, mortality and burden of disease from 1990 to 2017

Haagsma, Juanita A.; Olij, Branko F.; Majdán, Marek; Beeck, Ed F. van; Vos, Theo; Castle, Chris D; Dingels, Zachary V; Fox, Jack; Hamilton, Erin B; Liu, Zichen; Roberts, Nicholas L S; Sylte, Dillon O; Aremu, Olatunde; Bärnighausen, Till; Borzì, Antonio Maria; Briggs, Andrew M.; Carrero, Juan Jesús; Cooper, Cyrus; El‐Khatib, Ziad; Ellingsen, Christian Lycke; Fereshtehnejad, Seyed‐Mohammad; Filip, Irina; Fischer, Florian; Haro, Josep María; Jonas, Jost B.; Kiadaliri, Aliasghar Ahmad; Koyanagi, Ai; Lunevičius, Raimundas; Meretoja, Tuomo J.; Mohammed, Shafiu; Pathak, Ashish; Radfar, Amir; Rawaf, Salman; Rawaf, David Laith; Sànchez-Riera, Lídia; Shiue, Ivy; Vasankari, Tommi; James, Spencer L.; Polinder, Suzanne

doi:10.1136/injuryprev-2019-043347

Cited by 91 publications

(76 citation statements)

References 24 publications

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“…In males the average is 48 mLO 2 /kg/min and in women 38 mLO 2 /kg/min. From 20-80 years of age, it decreases approximately 10-15 % per decade for sedentary men and women, respectively [5,6]. The classical equation for the maximum heart rate (peak rate = 220 -age in years) implies a maximum of about 155 beats/min at age of 65 years.…”

Section: Changes In Physical Fitness With Increasing Agementioning

confidence: 99%

“…With increasing longevity, there is only poor evidence to suggest that these extra years can be lived in good health. Based on Global Burden of Disease study, the rate of years lived with disability increased in both men (7,9%) and women (6,5%) between 1990 and 2017 [5]. Yet in population studies great interindividual diversity in health and functioning is observed in all age groups.…”

Section: Introductionmentioning

confidence: 99%

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Opinion paper: Exercise for healthy aging

2021

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Section: Changes In Physical Fitness With Increasing Agementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Opinion paper: Exercise for healthy aging

2021

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“…Falls in elderly people represent a serious public health problem as the main cause of accidental death in this population. The risk of falling increases with age [ 1 , 7 - 9 ]. Each year, approximately one in every three elderly people experiences a serious fall.…”

Section: Introductionmentioning

confidence: 99%

eHealth for Addressing Balance Disorders in the Elderly: Systematic Review

Gašpar¹,

Lapão²

2021

J Med Internet Res

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Background The population is aging on a global scale, triggering vulnerability for chronic multimorbidity, balance disorders, and falls. Falls with injuries are the main cause of accidental death in the elderly population, representing a relevant public health problem. Balance disorder is a major risk factor for falling and represents one of the most frequent reasons for health care demand. The use of information and communication technologies to support distance healthcare (eHealth) represents an opportunity to improve the access and quality of health care services for the elderly. In recent years, several studies have addressed the potential of eHealth devices to assess the balance and risk of falling of elderly people. Remote rehabilitation has also been explored. However, the clinical applicability of these digital solutions for elderly people with balance disorders remains to be studied. Objective The aim of this review was to guide the clinical applicability of eHealth devices in providing the screening, assessment, and treatment of elderly people with balance disorders, but without neurological disease. Methods A systematic review was performed in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. Data were obtained through searching the PubMed, Google Scholar, Embase, and SciELO databases. Only randomized controlled trials (RCTs) or quasiexperimental studies (QESs) published between January 2015 and December 2019 were included. The quality of the evidence to respond to the research question was assessed using Joanna Briggs Institute (JBI) Critical Appraisal for RCTs and the JBI Critical Appraisal Checklist for QESs. RCTs were assessed using the Cochrane risk of bias tool. We provide a narrative synthesis of the main outcomes from the included studies. Results Among 1030 unduplicated articles retrieved, 21 articles were included in this review. Twelve studies explored different technology devices to obtain data about balance and risk of falling. Nine studies focused on different types of balance exercise training. A wide range of clinical tests, functional scales, classifications of faller participants, sensor-based tasks, intervention protocols, and follow-up times were used. Only one study described the clinical conditions of the participants. Instrumental tests of the inner ear were neither used as the gold-standard test nor performed in pre and postrehabilitation assessments. Conclusions eHealth has potential for providing additional health care to elderly people with balance disorder and risk of falling. In the included literature, the heterogeneity of populations under study, methodologies, eHealth devices, and time of follow-up did not allow for clear comparison to guide proper clinical applicability. This suggests that more rigorous studies are needed.

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“…From the age of 60 years, however, 30–60% of people fall, resulting in a rate of 0.7–1.6 falls per year for a person in that age group [ 3 ]. In an aging society, this has extensive consequences not only for the individual but also on a socioeconomic level [ 4 , 5 ]. Falls of older people lead to high expenses for government and health insurance companies, and an increased workload for nurses, relatives, friends, or neighbors.…”

Section: Introductionmentioning

confidence: 99%

Movement-Specific Reinvestment in Older People Explains Past Falls and Predicts Future Error-Prone Movements

Musculus

Kinrade

Laborde

et al. 2021

IJERPH

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The tendency to think about or consciously control automated movements (i.e., movement-specific reinvestment) is a crucial factor associated with falling in the elderly. We tested whether elderly people’s movement-specific reinvestment depended on their past falling history and whether it can predict future error-prone movements. In a longitudinal pre-post design, we assessed n = 21 elderly people’s (Mage = 84.38 years, SD = 5.68) falling history, movement-specific reinvestment (i.e., Movement-Specific Reinvestment Scale), and physical functioning (i.e., Short-Physical-Performance Battery). Following a baseline assessment, participants reported their movement behavior in a daily diary for 2 months, after which we assessed their movement-specific reinvestment and physical functioning again (longitudinal, pre-post design). Results revealed, first, that participants’ movement self-consciousness score was fairly stable, while their conscious-motor-processing score was less stable. Second, conscious motor processing was higher in participants who had fallen as opposed to those who had not fallen in the past. Third, conscious motor processing predicted error-prone future movement behavior reported in the daily diary. For identifying individuals who are more prone to fall, caregivers, rehabilitation staff, or doctors could apply the Movement-Specific Reinvestment Scale to screen elderly people’s psychomotor behavior. Based on conscious motor processing, monitoring cognitions could be tailored in theory-based, individual interventions involving both cognitive and motor training.

show abstract

Falls in older aged adults in 22 European countries: incidence, mortality and burden of disease from 1990 to 2017

Cited by 91 publications

References 24 publications

Opinion paper: Exercise for healthy aging

Opinion paper: Exercise for healthy aging

eHealth for Addressing Balance Disorders in the Elderly: Systematic Review

Movement-Specific Reinvestment in Older People Explains Past Falls and Predicts Future Error-Prone Movements

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