Risk of falls and fear of falling in older adults residing in public housing in Ontario, Canada: findings from a multisite observational study

Pirrie, Melissa; Saini, Guneet; Angeles, Ricardo; Marzanek, Francine; Parascandalo, Jenna; Agarwal, Gina

doi:10.1186/s12877-019-1399-1

Cited by 32 publications

(28 citation statements)

References 25 publications

(37 reference statements)

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“…Previous studies reported that previous experience of falling can lead to FOF; [ 5 , 17 – 20 , 22 ] however, the actual nature of this correlation remains controversial. [ 23 , 24 ] In the current study, we also determined that previous experience of falling was a significant risk factor for FOF, regardless of whether the fall(s) occurred in the previous month or previous year.…”

Section: Discussionmentioning

confidence: 99%

The relationship between falling and fear of falling among community-dwelling elderly

Chen¹,

Tung

et al. 2021

Medicine

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Researchers have repeatedly examined the relationship between a previous experience of a fall and subsequent fear of falling (FOF); however, few studies have investigated the effects of falling along various timelines among older adults. The objective of this study was to determine whether experiencing a fall in the previous month or the previous year led to FOF among the elderly. The National Health and Aging Trends Study (NHATS) in the U.S. collected information indicative of basic trends in the behavior of individuals aged 65 years and older. In the current study, we applied multiple logistic regression analysis of results from round 7 of the NHATS with the aim of identifying the risk factors associated with FOF among 5559 participants aged 65 years or older. FOF was reported by 48.8% of those who experienced a fall in the previous year and 46.8% experienced a fall in the previous month. The results of regression analysis revealed that after adjusting for sex, age, related chronic disease, activities of daily living, and instrumental activities of daily living, FOF was significantly associated with experiencing a fall during the previous month (OR = 2.29, 95% CI: 1.78–2.95) or during the previous year (OR = 2.60, 95% CI: 2.16–3.14). Our results indicate that experiences of falling during the previous month or the previous year were both significantly associated with a fear of falling, and caregivers should keep this in mind when dealing with community-living elderly individuals.

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Section: Discussionmentioning

confidence: 99%

The relationship between falling and fear of falling among community-dwelling elderly

Chen¹,

Tung

et al. 2021

Medicine

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“…This may be due to women generating more chronic diseases, musculoskeletal problems, as well as anatomical and biopsychological gender differences [28]. Besides, according to other studies, aging is significantly associated with increased fear of falling [12,29]. Considering the longer life expectancy of older women than men, the high fear of falling in older women can be justified.…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Fear of Falling, Mental Wellbeing, and Depression in the Elderly With Cardiovascular Disease: A Predictive Study

et al. 2021

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Background & Aims of the Study: This study aimed to determine the relationship between fear of falling, mental wellbeing, and depression in the elderly with cardiovascular disease. Materials and Methods:This descriptive-analytical study was performed on 283 elderly selected per the inclusion and exclusion criteria. The required data were collected using the Center of Epidemiological Studies-Depression Scale (CES-D), the Falls Efficacy Scale International (FES-I), and the World Health Organization-Five Well-Being Index (WHO-5). Data were analyzed in SPSS using descriptive statistics and regression analysis methods. The significance level was considered 0.05. Results:The obtained results suggested that gender, place of residence, mental wellbeing, and depression were significantly associated with fear of falling in the examined sample (P<0.001). Furthermore, for every 10 units of welfare increase, the average fear of falling in the elderly decreases by 2 units. Additionally, on average, the fear of falling for the elderly females was 1.55 points higher than that in their male counterparts. Moreover, the average fear of falling for the elderly who were depressed was 3.37 points higher than that in the elderly without depression. Eventually, the average fear of falling in the elderly who lived in urban areas was 2.68 points higher than that in the elderly who lived in rural areas. Conclusion:Based on the current research findings, depression and mental wellbeing were predictors of fear of falling; thus, they can be considered as effective factors in interventions to reduce the fear of falling and falling in the elderly.

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“…Changes in body composition also have a significant effect on physical functions and quality of life [10]. However, these studies did not include older adults from low-income settings, who were more likely to report falls in the previous year [11].…”

Section: Introductionmentioning

confidence: 99%

Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study

Thiamwong¹,

Stout²,

Park³

et al. 2021

JMIR Res Protoc

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Background One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between the level of fear of falling (FOF) and physiological fall risk (balance performance). Older adults who overestimate their physiological fall risk and report a high FOF are less likely to participate in physical activity. Limited data suggest that the association among FOF, body composition, and physical activity intensity differs by fear severity. Objective This study aims to examine the associations among FRA, body composition, and physical activity using assistive health technology, including the BTrackS balance system, bioelectrical impedance analysis, and activity monitoring devices. This study also aims to examine the feasibility of recruitment and acceptability of technologies and procedures for use among older adults in low-income settings. Methods This cross-sectional study will be conducted in older adults’ homes or apartments in low-income settings in Central Florida, United States. Following consent, participants will be contacted, and our team will visit them twice. The first visit includes questionnaire completion (eg, sociodemographic or FOF) and balance performance test using the BTrackS balance system. The participants will be stratified by the FRA matrix. In addition, they will perform hand grip strength and dynamic balance performance tests. Participants will then be asked to wear the ActiGraph GT9X Link wireless activity monitor on the nondominant wrist for 7 consecutive days. The second visit includes body composition testing and a structured interview about the acceptability of the technologies and procedures. Results Ethical approval was obtained from the institutional review board of the University of Central Florida (protocol number 2189; September 10, 2020). As of December 2020, participation enrollment is ongoing and the results are expected to be published in Summer 2022. Conclusions Accurate FRA is essential for implementing physical activity programs, especially in older adults with low income. This study will provide data for developing technology-based fall risk assessments to improve participation in physical activity, thus enhancing healthy longevity among older adults in low-income settings. International Registered Report Identifier (IRRID) PRR1-10.2196/27381

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Risk of falls and fear of falling in older adults residing in public housing in Ontario, Canada: findings from a multisite observational study

Cited by 32 publications

References 25 publications

The relationship between falling and fear of falling among community-dwelling elderly

The relationship between falling and fear of falling among community-dwelling elderly

Relationship Between Fear of Falling, Mental Wellbeing, and Depression in the Elderly With Cardiovascular Disease: A Predictive Study

Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study

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