Skip to main content

The relationship between fall incidents and place of birth in residential aged care facilities: a retrospective longitudinal cohort study

Abstract

Background

Older populations in residential aged care facilities (RACFs) in many immigrant-receiving countries are now being increasingly culturally and linguistically diverse (CALD). CALD populations require tailored social and health services to support their needs and improve health outcomes. Falls among the elderly are common and can have significant health and psychosocial consequences. There is some evidence to suggest that country of birth may influence risk of falls among older people, but such evidence has been scarce. This study aimed to determine the association between place of birth and the incidence of falls in RACFs.

Methods

Routinely collected incident data relating to 5,628 residents aged ≥ 65 years in 25 RACFs in Sydney, New South Wales, Australia were used. RACF residents were classified into two groups, Australia-born (N = 4,086) and overseas-born (N = 1,542). Overseas-born RACF residents were further categorised into two subgroups: overseas-English-speaking-country (N = 743) and overseas-non-English-speaking-country (N = 799). Outcomes measures were rate of all falls, injurious falls and falls requiring hospitalisation. Multilevel binary negative regression was used to examine the relationship between fall risk and place of birth.

Results

Incidence rates of all falls, injurious falls and falls requiring hospitalisation were 8.62, 3.72 and 1.07 incidents per 1,000 resident days, respectively, among the Australia-born RACF residents, but were higher at 11.02, 4.13 and 1.65, respectively, among the overseas-born RACF residents. Within those born overseas, fall rates were higher among the overseas-non-English-speaking-country-born residents (11.32, 4.29 and 2.22, respectively) than those overseas-English-speaking-country-born (10.70, 3.96 and 1.05, respectively). After controlling for confounders, the overseas-born RACF residents overall experienced a higher risk of all three types of falls (incidence rate ratios: [IRR] = 1.278, 95% confidence interval [CI] = 1.131, 1.443; injurious falls: IRR = 1.164 [95% CI = 1.013, 1.338]; falls requiring hospitalisation: IRR = 1.460 [95% CI = 1.199, 1.777]) than the Australia-born RACF residents. Among the overseas-born RACF residents, males, respite residents and those overseas-non-English-speaking-country-born experienced higher rates of falls.

Conclusions

Fall incidence in RACFs varies significantly by place of birth. With increasingly diverse RACF populations, fall intervention and prevention programs should consider cultural and linguistical backgrounds of RACF residents. Greater attention to understand the mechanisms for the differences by place of birth in risk profiles is warranted.

Peer Review reports

Introduction

Falls and fall-related injuries among older populations are a prominent concern globally. Approximately 28–35% of people aged 65 and older in the community [1, 2] and more than 50% of those living in residential aged care facilities (RACFs) (i.e., nursing homes and long-term care facilities) [3] fall annually. Devastating clinical consequences of falls include various injuries, multisite chronic pain, immobilisation, disability and even death [4,5,6,7]. Falls might lead to fear of falling that may prevent older adults from engaging in social activities and adversely affect older people’s quality of life [8, 9]. Falls also cause high financial burdens, with fall-related costs accounting for 1.3–2.3% of national health care expenditure in the United States, 1.4% in the United Kingdom and 1.1% in Australia [10].

Previous studies have identified a range of risk factors of falls, including older age, female gender, declined cognitive and physical functionality, use of psychotropic medication and fall history [1, 2, 5, 6, 11]. Recent studies have shown that place of birth may also affect the risk of falls in later life, but with mixed findings reported. One research in Australia demonstrated that the fall incidence of Italy-born community-dwelling men aged 70 years and older was 43% lower than that of similarly-aged Australia-born men living in the community (incidence rate ratios [IRR] = 0.57, 95% confidence interval [CI] = 0.39–0.85) over a four-month study period [12]. Similarly, evidence from a report of the Australian Institute of Health and Welfare revealed that the rate of fall-related hospitalisation among older adults (≥ 65) during 2001–2003 for migrants from New Zealand, the United Kingdom, Ireland, the United States, Canada and South Africa and migrants from other countries, numbered at 2,070.3 and 1,788.6 per 100,000 population, respectively, both significantly lower than that of the Australia-born population (i.e., 2,498.1 per 100,000 population) [13]. Similar findings were documented in Sweden, showing a relatively low fall rate in Swedish counties with a high proportion of overseas-born older adults [14]. In contrast, a population-based study conducted in the communities of South Australia reported no difference in fall risk between Australia-born older adults (≥ 65) and older immigrants from overseas English-speaking countries (odd ratio [OR] = 0.95, 95% CI = 0.76–1.18), though immigrants from non-English-speaking countries had a lower fall risk than the Australia-born older adults (OR = 0.53 [95% CI = 0.38–0.74) [15]. Likewise, a cross-national cohort study indicated that a sample of Australian Chinese aged 70 and older experienced a higher age- and sex-standardised annual fall rate (mean + standard deviation: 0.36 ± 0.80) than the Chinese populations in Hong Kong (0.21 ± 0.57) and Taiwan (0.26 ± 0.47), suggesting an adverse effect of immigration experience and post-immigration environment on the susceptibility to falls [16].

Previous research has demonstrated that the prevalence and consequences of age-related conditions might prevail and pattern differently by country of birth and that such differences may persist despite moving to and residing in another country for many years [17, 18]. Falls among the elderly might also characterise differently by place of birth given the distinguishing life experience of immigrants and varying sociocultural backgrounds by nativity [12, 19]. For example, some Asian immigrants tend to have a lower fall risk, which might be because of their some cultural practices, such as Taichi that is expected to reduce fall risk [20]. Likewise, Caucasians are more likely to fall possibly because of their more frequent participation in outdoor activities that might be linked to a greater likelihood of fall risk [19]. There are also studies demonstrating differences in fall mechanics by race, showing white women tend to fall laterally and sustain a fracture, while black women tend to fall forward and are less likely to sustain a fracture [21]. However, although previous studies have provided important information about the association between falls and place of birth, such evidence has been scarce. Additionally, to the best of our knowledge, there have been no studies on falls and place of birth focused on the RACF setting, where older adults are more likely to fall than those in the community [22]. Our aim was to investigate the relationship between falls and place of birth in Australian RACFs where the population is increasingly culturally and linguistically diverse (CALD) [23]. The new knowledge produced will advance our understanding of the relationship between falls and place of birth among older adults and applied to inform the design of fall prevention programs in RACFs to better support subpopulations at high risk of falls and fall-related consequences.

Methodology

Study design

We conducted a retrospective longitudinal cohort study using routinely collected aged care data sourced from 25 RACFs of a large not-for-profit aged care provider in New South Wales, Australia. Routinely-collected data refer to information collected systematically and electronically by aged care providers for clinical and administration purposes on a day-to-day basis. [24] In this study, the data covered a period from 1st July 2014 to 31st December 2019, during which participants could enter, leave and re-enter the facilities at any time. Therefore, one RACF resident might have more than one record of admission during this period.

Sample

Our data contained information of 10,226 admissions from 6,727 residents. We excluded data of admissions in which age of participants was under 65 (N = 77), only interim care was used (N = 26), participants were discharged on the same date as admission (N = 198), participants’ date of entry was erroneously before the departure date (N = 1), or participations’ information of country of birth was missing (N = 1,340). This yielded a final sample of 5,628 residents with 8,584 admissions, of which 4,729 were permanent admissions and 3,855 were respite admissions. The sample selection process is presented in Fig. 1.

Fig. 1
figure 1

Flow Chart of Sample Selection

Data sources

We used resident profile data and incident reports. The profile dataset contained information of residents’ demographic characteristics (e.g., year of birth, gender and country of birth), health conditions (e.g., whether having common cormobidities, such as diabetes and hypertension) and admission-related information (e.g., patient ID, facility ID and date of entry/departure). The incident data included all fall events occurring in facilities, including incident date, location (e.g., dining room, resident’s room and shared indoor area) and consequences (e.g., whether results in injuries, location of injuries and if hospitalisation wasd required).

Outcome measures

We considered three fall outcome groups: all falls, injurious falls and falls requiring hospitalisation. All falls were defined as any fall in the incident dataset regardless of the fall consequences (i.e., causing injuries or requiring hospitalisation); injurious falls were falls that caused any type of injury (e.g., head injury, hip injury or deep issue injury); while falls requiring hospitalisation were those falls resulting in sequalae requiring hospital admission for further assessment and management.

Measures of place of birth

Two variables of the resident profile dataset, ‘whether Australia-born’ and ‘country of birth if born overseas’, were used to categorise participants as Australia-born or overseas-born. The overseas-born group was further divided into: residents born in an English- or non-English-speaking country based on whether English is listed as an official language in their country of birth [25]. This is because proficiency of the main language used in host society could importantly affect overseas-born individuals’ access to health care services, employability and social capital [26, 27], which are crucial predicators of wellbeing and health outcomes. In addition, English proficiency might also affect overseas-born RACF residents’ daily communication with staff and their involvement in fall prevention and intervention programs, which could affect their fall outcomes.

Statistical analysis

We calculated fall incidence rates (i.e., per 1,000 resident days). Fall incidence rate for each RACF resident was based on their number of falls occurring during their length of stay. For RACF residents with more than one admission, falls occurring in all the admissions and the lengths of each stay were added up separately. We did not use two commonly used indicators of fall risk, whether an individual suffered a fall or not and the absolute number of falls that the individual experienced [12, 16, 19, 28], given that these two indicators generally require the same length of observation period for each participant for comparison purpose. Therefore, these two indicators were inappropriate in this study due to the varying lengths of stay of different participants.

We first described and compared the average incidence rate of the three types of falls for the Australia-born and the overseas-born RACF residents, and also for the two subgroups of the overseas-born RACF residents. We then conducted multilevel negative binomial regression to examine the association between fall and place of birth, controlling for age, gender, fall history and comorbidity status at time of admission (i.e., dementia, depression, cognitive impairment, anxiety, cerebrovascular accident, diabetes mellitus, visual impairment, delirium and Parkinson’s disease), which have been previously been demonstrated as fall risk factors [5, 6, 11, 29,30,31]. The multilevel binary negative regression is appropriate for this study given that the dependent variable in our analysis (i.e., fall incidence rate) is an over-dispersed count variable and that participants were organised in two levels (i.e., individual level and facility level). The two-level structure of data means that fall incidents might suffer clustering effect, which refers to the potential correlation between incidents occurring at the same facility. To compare differences in fall incidence rate between two specific groups, we used IRR, calculated as the ratio of the fall incidence rates of the two groups, with the corresponding standard deviation calculated as the square root of the sum of the reciprocals of fall numbers of the two groups. All tests were two-tailed and significance was set as p-value < 0.05. All analyses were conducted using Stata version 17.0 (StataCorp LP, College Station, Texas 77,845 USA).

Results

Participant characteristics

As shown in Table 1, 1,896 (33.7%) of participants were men and 1,542 (27.4%) were overseas-born, of which 743 were born in overseas English-speaking countries and 799 were born in overseas non-English-speaking countries. The median age of the whole sample was 86 (interquartile range [IQR] 81–90) years, while the median length of stay was 542 (IQR 69 − 1,375) days. Almost half of participants had a fall history before admission (45.5%) or lived with dementia (47.1%), while approximately one third had depression (36.7%) or cognitive impairment (32.9%). More than one fifth of the participants had anxiety (23.9%), cerebrovascular accident (23.7%) or diabetes mellitus (22.7%).

Table 1 Sample Characteristics for All Participants and by Place of Birth

Fall incidence rate by place of birth

Figure 2 presents the fall incidence rate for the whole sample and by place of birth. The falls incidence rates for all falls, injurious falls and falls requiring hospitalisation were 9.28 (95% CI = 8.43, 10.12), 3.83 (95% CI = 3.47, 4.20) and 1.23 (95% CI = 1.11, 1.35) incidents per 1,000 resident days, respectively. These figures were slightly higher among the overseas-born residents (11.02 [95% CI = 10.24, 11.81]; 4.13 [95% CI = 3.83, 4.43] and 1.65 [95% CI = 1.56, 1.75], respectively) than the Australia-born residents (8.62 [95% CI = 7.75, 9.49], 3.72 [95% CI = 3.33, 4.11] and 1.07 [95% CI = 0.95, 1.19], respectively). Within the overseas-born residents, these figures were relatively higher among those born in overseas non-English-speaking countries (11.32 [95% CI = 10.58, 12.07], 4.29 [95% CI = 4.04, 4.55] and 2.22 [95% CI = 2.15, 2.29], respectively) than those born in overseas English-speaking countries (10.70 [95% CI = 9.87, 11.53], 3.96 [95% CI = 3.60, 4.31] and 1.05 [95% CI = 0.93, 1.16], respectively).

Fig. 2
figure 2

Incidence Rate of All Falls, Injurious Falls and Falls Requiring Hospitalisation by Place of Birth

Association between fall incidents and place of birth

Table 2 presents the results of multilevel negative binomial regression to examine differences in fall risk between the Australia-born and the overseas-born residents. As shown, after controlling for the aforementioned covariates, the overseas-born residents as a whole had a significantly higher risk for all three falls groups (all falls: IRR = 1.278 [95% CI = 1.131, 1.443, p-value < 0.01]; injurious falls: IRR = 1.164 [95% CI = 1.013, 1.338, p-value = 0.03]; and falls requiring hospitalisation: IRR = 1.460 [95% CI = 1.199, 1.777, p-value < 0.01]) compared with the Australia-born residents.

Table 2 Fall Risk of the Overseas-born RACF Residents Compared with the Australia-born RACF Residents

Table 3 shows differences in fall risk between the Australia-born residents and the two subgroups of overseas-born residents. As shown, residents born in overseas English-speaking countries exhibited a significantly higher risk of all falls compared with their Australia-born counterparts (IRR = 1.259 [95% CI = 1.073, 1.478, p-value < 0.01]), though their risk of injurious falls (IRR = 1.192 [95% CI = 0.993, 1.432, p-value = 0.06]) and falls requiring hospitalisation (IRR = 1.126 [95% CI = 0.875, 1.448, p-value = 0.36]) did not significantly differ from those of Australia-born residents. Similarly, residents born in overseas non-English-speaking countries experienced a significantly higher risk of all falls than the Australia-born residents (IRR = 1.296 [95% CI = 1.106, 1.520, p-value < 0.01]) and had a higher risk of falls requiring hospitalisation compared with the Australia-born residents (IRR = 1.852 [95% CI = 1.431, 2.396, p-value < 0.01]). However, there were no differences in risk of injurious falls between the residents born in overseas non-English-speaking countries and those Australia-born (IRR = 1.136 [95% CI = 0.946, 1.364, p-value = 0.17]). Additionally, residents born in non-English-speaking countries experienced a significantly elevated risk of falls requiring hospitalisation (IRR = 1.645 [95% CI = 1.185, 2.282, p-value < 0.01]) compared to those born in English-speaking overseas countries, though there were no differences for all falls (IRR = 1.030 [95% CI = 0.837, 1.265, p-value = 0.78]) and injurious falls (IRR = 0.953 [95% CI = 0.751, 1.207, p-value = 0.69]).

Table 3 Fall Risk of Two Overseas-born Subgroups Compared with Australia-born RACF Residents

Examination of fall risks by country of birth, gender, age and admission type (Table 4) showed that males born overseas had a greater risk of falls for all categories compared to Australia-born male residents (all falls: IRR = 1.447 [95% CI = 1.174, 1.783, p-value < 0.01]; injurious falls: IRR = 1.366 [95% CI = 1.079, 1.729, p-value = 0.01]; and falls requiring hospitalisation: IRR = 2.382 [95% CI = 1.662, 3.413, p-value < 0.01]). There were no significant differences in falls risk for females by place of birth. Permanent residents born overseas had a higher risk of all falls compared to Australia-born permanent residents (IRR = 1.316 [95% CI = 1.146, 1.510, p-value < 0.01]). Overseas-born respite residents had a greater risk of all falls (IRR = 1.335 [95% CI = 1.069, 1.669, p-value = 0.01]) and falls requiring hospitalisation (IRR = 1.878 [95% CI = 1.261, 2.797, p-value < 0.01]) compared to Australia-born respite residents. No clear patterns were identified in relation to risk of falls and country of birth by age group. For full regression results presented in Table 4, please refer to Additional files 1.

Table 4 Fall Risk of Overseas-born RACF Residents vs. Australia-born, Stratified by Gender, Age and Admission Type

Discussion

Populations are ageing and increasingly CALD in Australia and many other countries [23, 32]. In 2021, 17.6% of the Australian population was aged 65 and older and 27.6% of the Australian population was overseas-born [23]. Understanding how place of birth is associated with risk of falling potentially may assist in targeting prevention programs. Our study advances the knowledge of falls and place of birth by providing the first in-depth investigation into the patterns of fall risk by place of birth in the RACF setting. Our study shows that the overseas-born RACF residents were overall more susceptible to falls than their Australia-born counterparts, and that such differences in fall risk were more significant among men, respite residents and those born in overseas non-English-speaking countries. These findings provide a more granular understanding regarding the relationship between place of birth and falls. However, the study cannot shed light on the reasons for these differences.

This study demonstrates that immigrant status to Australia is associated with an increased fall risk among RACF residents. This finding is in contrast to previous Australian studies showing a lower fall risk for specific immigrant groups in the community-based setting [12, 15]. However, our results align with other studies indicating an adverse effect of immigration status and the post-migration environment on fall risk [16]. Previous studies have shown worse health outcomes (e.g., self-rated health, physical function and emotional health) [33,34,35] for older overseas-born populations compared with older native-born populations. Thus, the elevated risk of falls among the older overseas-born RACF residents might be explained by their overall frailer health outcomes than the native-born older adults. Specifically, during their acculturation process, immigrants might experience multiple negative life experience, such as limited access to health and medical resource and perceived discrimination, which are all hazardous to health [36,37,38,39]. For example, perceived discrimination might induce health problems (e.g., worse mental health status) among the immigrants [40]. The adverse effects of these negative life experiences might accumulate throughout the lifecycle and contribute to less favourable health outcomes in later life [18, 41]. Given that RACF residents are generally at very old age (e.g., median age at 86 in our study) and more fragile than community-dwelling older adults, the older immigrants living in RACFs might be vulnerable to the long-term adverse effect caused by acculturation-related stress and challenges, and hence, suffer less favourable health outcomes, such as falls, than the Australia-born RACF residents.

Results also show that the greater vulnerability to falls for the overseas-born RACF residents is more prominent among those born in overseas non-English-speaking countries compared with those born in overseas English-speaking countries. This finding highlights the role of language barrier in health outcomes and wellbeing of the overseas-born RACF residents. Previous studies had demonstrated that low language proficiency is significantly associated with immigrants’ lower income, reduced employability and limited access to medical and health resources [42], which might lead to less favourable health outcomes. Moreover, immigrants’ acquired ability of English might decrease during their ageing process. Previous evidence showed that reduced cognitive function or dementia might trigger a degeneration of the second language among bilingual individuals since maintaining multiple language abilities requires increased cognitive demands compared with a single language and is difficult to be sustained with impaired cognitive function and dementia [43, 44]. In our study, almost half (47.7%) of the overseas-born participants suffered dementia, which might cause a decrease in their English language capacity, and hence, expose them to extra fall risk. However, more explorations are needed to understand how acquired language ability changes during ageing process among the bilingual individuals and the corresponding consequences of such changes on health outcomes of older adults.

This study also demonstrated that the higher risk of falls of the overseas-born RACF residents was more significant among men. This is inconsistent with previous findings reporting a higher propensity of falls among women [1, 2, 5] but corresponds to some recent studies documenting a higher risk of falls among men [6, 45,46,47,48]. It is claimed that higher risk of falls among older women is compounded by female worse health conditions in old age, and if conditions of physical functionality and comorbidity status are controlled, men are actually more likely than women to fall [47, 48]. Therefore, given that RACF residents are generally in very old age and suffer deteriorated health conditions, male RACF residents might manifest a higher risk of falls. The greater probability of falls associated with male gender might be explained by male greater probability of engaging in physical activities and risky behaviour [49], which are associated with increased fall risk among the older adults. However, further investigations are needed to verify such assumption.

Another interesting finding is that the overseas-born RACF residents’ higher risk of falls was more prominent among respite residents compared with permanent residents. This intriguing finding corresponds to previous studies demonstrating a higher risk of adverse events, such as hospitalisation, for older adults recently admitted to RACFs compared with those having stayed for a long period [50, 51]. The heightened risk for respite residents might be explained by their maladjustment and unsettlement to the changes before and after RACF admission in relation to diets, routines, living environment and services, which require a certain amount of time to be adapt to. Such adaption might be relatively more difficult for the overseas-born RACF residents if there are accompanied with linguistical and cultural conflicts, which therefore elevate risk of falls.

Policy implications

This study has important policy implications for improved fall prevention and management in the RACF setting for those residents born overseas. In particular, male and respite residents are at increased risk of fall. The diverse cultural and linguistical backgrounds of residents should be considered when developing fall prevention and intervention programs. Providing culturally and linguistically appropriate care service support, such as employing bilingual and bicultural staff and reflecting cultural diversity in fall intervention strategies (e.g., implementing some cultural practices such as Taichi), is suggested. In Australia, 35% of aged care workforce were from a CALD background in 2020 and this proportion is increasing [52]. However, the culturally appropriate service/care provision is generally only available for culturally dominant groups but tends to be lacking for those cultural minority groups. It would be critical to further increase the availability and accessibility of culturally and linguistically tailed care services in RACFs.

Strengthens and limitations

We conducted a retrospective longitudinal cohort study on fall and place of birth in the RACF setting based on routinely collected data from 25 Australian RACFs. The strengthens of this study lie in its large sample size (i.e. 5,628 participants over more than five years) and its comprehensive measure of falls (risk of three types of falls gauged), which fortify the robustness of the results.

This study has several limitations. First, the data used were sourced from one aged care service provider in Sydney, New South Wales, Australia and therefore may not be reflective of other RACF populations. Second, while the analysis in this study has considered a broad range of covariates, some variables, such as level of general health and frailty that are useful to explain our results, have not been included in the analysis given data unavailability. Additionally, factors at organisational or environmental level, such as the location of facility, the number of staff and the availability of registered nurse, that might also importantly affect falls were also not controlled given the same reason. Future studies are suggested to include such variables if data are available. Third, even though we had categorised the overseas-born RACF residents into two subgroups, there are still considerable cultural and linguistic variations within each group. We were unable to further explore the variations of fall risk by place of birth within each group or by language preference of residents due to a lack of data. It would be of interest for future studies to examine more nuanced differentials of fall risk among different immigrant groups (e.g., by ethnicity or characteristics of country of origin [e.g., national income level]) if data are available. Fourth, migrants’ health outcomes might differ by duration of residence [18, 41], which is an important dimension of migrant health but has not been explored in this study. Specifically, migrants upon arrival might enjoy health advantage compared with the native-born population due to the selectivity of migration and the health requirement of the host society; however, such health advantage might be eroded during migrants acculturation process, resulting in converged health patterns between the native-born and migrants over time [53]. Therefore, the fall patterns of overseas-born RACF residents might vary according to their duration of residence. However, we are unable to examine this given lack of data. Further examination is needed to explore the fall pattern of overseas-born RACF residents by duration of residency.

Conclusion

This study provides the first in-depth investigation into falls and place of birth in the RACF setting using a longitudinal cohort dataset in 25 RACFs Australia. Our analysis demonstrates that the overseas-born RACF residents experienced an overall higher fall risk than the Australia-born RACF residents, particularly among men, respite residents and those born in overseas non-English-speaking countries. The heightened fall risk associated with the overseas-born status highlights the importance of targeted fall prevention measures that are culturally and linguistically tailored for RACF residents.

Data Availability

The data that support the findings of this study are available from the aged care provider (Anglicare), but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors (Guogui Huang, guogui.huang@mq.edu.au) upon reasonable request and with permission of Anglicare.

Abbreviations

RACF:

residential aged care facility

CALD:

culturally and linguistically diverse

CI:

confidence interval

IRR:

incidence rate ratios

IQR:

interquartile range

OR:

odd ratio.

References

  1. Prudham D, Evans JG. Factors associated with falls in the elderly: a community study. Age Ageing. 1981;10(3):141–6.

    Article  CAS  PubMed  Google Scholar 

  2. Blake A, Morgan K, Bendall M, Dallosso H, Ebrahim S, Arie T, et al. Falls by elderly people at home: prevalence and associated factors. Age Ageing. 1988;17(6):365–72.

    Article  CAS  PubMed  Google Scholar 

  3. Cameron EJ, Bowles SK, Marshall EG, Andrew MK. Falls and long-term care: a report from the care by design observational cohort study. Bmc Fam Pract. 2018;19(1):1–7.

    Article  Google Scholar 

  4. Kannus P, Sievänen H, Palvanen M, Järvinen T, Parkkari J. Prevention of falls and consequent injuries in elderly people. The Lancet. 2005;366(9500):1885–93.

    Article  Google Scholar 

  5. Tinetti ME, Speechley M. Prevention of falls among the elderly. New Engl J Med. 1989;320(16):1055–9.

    Article  CAS  PubMed  Google Scholar 

  6. World Health Organization. WHO global report on falls prevention in older age. 2007. 2007.

  7. Fuller GF. Falls in the elderly. Am Fam Physician. 2000;61(7):2159.

    CAS  PubMed  Google Scholar 

  8. Suzuki M, Ohyama N, Yamada K, Kanamori M. The relationship between fear of falling, activities of daily living and quality of life among elderly individuals. Nurs Health Sci. 2002;4(4):155–61.

    Article  PubMed  Google Scholar 

  9. Li F, Fisher KJ, Harmer P, McAuley E, Wilson NL. Fear of falling in elderly persons: association with falls, functional ability, and quality of life. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2003;58(5):P283–P90.

    Article  PubMed  Google Scholar 

  10. Heinrich S, Rapp K, Rissmann U, Becker C, König H-H. Cost of falls in old age: a systematic review. Osteoporos Int. 2010;21(6):891–902.

    Article  CAS  PubMed  Google Scholar 

  11. Graafmans W, Ooms M, Hofstee H, Bezemer P, Bouter LM, Lips P. Falls in the elderly: a prospective study of risk factors and risk profiles. Am J Epidemiol. 1996;143(11):1129–36.

    Article  CAS  PubMed  Google Scholar 

  12. Stanaway FF, Cumming RG, Naganathan V, Blyth FM, Handelsman DJ, Le Couteur DG, et al. Ethnicity and falls in older men: low rate of falls in italian-born men in Australia. Age Ageing. 2011;40(5):595–601.

    Article  PubMed  Google Scholar 

  13. Bradley C, Harrison JE. Fall-related hospitalisations among older people. 2007.

  14. Bamzar R, Ceccato V. The regional ecology of elderly falls in Sweden. GeoJournal. 2016;81(1):23–36.

    Article  Google Scholar 

  15. Gill T, Taylor AW, Pengelly A. A population-based survey of factors relating to the prevalence of falls in older people. Gerontology. 2005;51(5):340–5.

    Article  PubMed  Google Scholar 

  16. Kwan MM, Tsang WW, Lin S-I, Greenaway M, Close JC, Lord SR. Increased concern is protective for falls in Chinese older people: the chopstix fall risk study. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences. 2013;68(8):946–53.

    Article  Google Scholar 

  17. Cunningham SA, Ruben JD, Narayan KV. Health of foreign-born people in the United States: a review. Health Place. 2008;14(4):623–35.

    Article  Google Scholar 

  18. Jatrana S, Pasupuleti SSR, Richardson K. Nativity, duration of residence and chronic health conditions in Australia: do trends converge towards the native-born population? Soc Sci Med. 2014;119:53–63.

    Article  PubMed  Google Scholar 

  19. Geng Y, Lo JC, Brickner L, Gordon NP. Racial-ethnic differences in fall prevalence among older women: a cross-sectional survey study. Bmc Geriatr. 2017;17(1):1–7.

    Article  Google Scholar 

  20. Low S, Ang LW, Goh KS, Chew SK. A systematic review of the effectiveness of Tai Chi on fall reduction among the elderly. Arch Gerontol Geriat. 2009;48(3):325–31.

    Article  Google Scholar 

  21. Faulkner KA, Cauley JA, Zmuda JM, Landsittel DP, Nevitt MC, Newman AB, et al. Ethnic differences in the frequency and circumstances of falling in older community-dwelling women. J Am Geriatr Soc. 2005;53(10):1774–9.

    Article  PubMed  Google Scholar 

  22. Butler M, NORTON R, LEE-JOE T, Cheng A, Campbell AJ. The risks of hip fracture in older people from private homes and institutions. Age Ageing. 1996;25(5):381–5.

    Article  CAS  PubMed  Google Scholar 

  23. Australian Bureau of Statistics. Cultural diversity: Census 2022. https://www.abs.gov.au/statistics/people/people-and-communities/cultural-diversity-census/latest-release. Accessed 20 July 2022

  24. Seaman KL, Jorgensen ML, Raban MZ, Lind KE, Bell JS, Westbrook JI. Transforming routinely collected residential aged care provider data into timely information: current and future directions. Australas J Ageing. 2021;40(3):e262–e8.

    Article  PubMed  Google Scholar 

  25. Wikipedia. List of territorial entities where English is an official language 2022. https://simple.wikipedia.org/wiki/List_of_territorial_entities_where_English_is_an_official_language. Accessed on 30 March 2022

  26. Dustmann C, Fabbri F. Language proficiency and labour market performance of immigrants in the UK. Econ J. 2003;113(489):695–717.

    Article  Google Scholar 

  27. Nawyn SJ, Gjokaj L, Agbényiga DL, Grace B. Linguistic isolation, social capital, and immigrant belonging. J Contemp Ethnography. 2012;41(3):255–82.

    Article  Google Scholar 

  28. Chen Y, Mo F, Yi Q, Morrison H, Mao Y. Association between mental health and fall injury in canadian immigrants and non-immigrants. Accid Anal Prev. 2013;59:221–6.

    Article  PubMed  Google Scholar 

  29. Lord SR, March LM, Cameron ID, Cumming RG, Schwarz J, Zochling J, et al. Differing risk factors for falls in nursing home and intermediate-care residents who can and cannot stand unaided. J Am Geriatr Soc. 2003;51(11):1645–50.

    Article  PubMed  Google Scholar 

  30. Deandrea S, Bravi F, Turati F, Lucenteforte E, La Vecchia C, Negri E. Risk factors for falls in older people in nursing homes and hospitals. A systematic review and meta-analysis. Arch Gerontol Geriatr. 2013;56(3):407–15.

    Article  PubMed  Google Scholar 

  31. Enderlin C, Rooker J, Ball S, Hippensteel D, Alderman J, Fisher SJ, et al. Summary of factors contributing to falls in older adults and nursing implications. Geriatr Nurs. 2015;36(5):397–406.

    Article  PubMed  Google Scholar 

  32. United Nations. International migrant stock 2019 2019. https://www.un.org/en/development/desa/population/migration/data/estimates2/estimates19.asp. Accessed on 25 April 2022

  33. Angel JL, Buckley CJ, Sakamoto A. Duration or disadvantage? Exploring nativity, ethnicity, and health in midlife. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2001;56(5):275–S84.

    Article  Google Scholar 

  34. Mui AC, Kang S-Y. Acculturation stress and depression among asian immigrant elders. Soc Work. 2006;51(3):243–55.

    Article  PubMed  Google Scholar 

  35. Prus SG, Tfaily R, Lin Z. Comparing racial and immigrant health status and health care access in later life in Canada and the United States. Can J Aging/La Revue canadienne du vieillissement. 2010;29(3):383–95.

    Article  Google Scholar 

  36. Jasso G, Massey DS, Rosenzweig MR, Smith JP. Immigration, health, and New York City: early results based on the US new immigrant cohort of 2003. FRBNY Economic Policy Review. 2005;11(2):127–51.

    Google Scholar 

  37. Jasinskaja-Lahti I, Liebkind K, Perhoniemi R. Perceived discrimination and well-being: a victim study of different immigrant groups. J community Appl social Psychol. 2006;16(4):267–84.

    Article  Google Scholar 

  38. Safi M. Immigrants’ life satisfaction in Europe: between assimilation and discrimination. Eur Sociol Rev. 2009;26(2):159–76.

    Article  Google Scholar 

  39. Huijts T, Kraaykamp G. Immigrants’ health in Europe: a cross-classified multilevel approach to examine origin country, destination country, and community effects. Int Migrat Rev. 2012;46(1):101–37.

    Article  Google Scholar 

  40. Agudelo-Suárez AA, Ronda-Pérez E, Gil-González D, Vives-Cases C, García AM, Ruiz-Frutos C, et al. The effect of perceived discrimination on the health of immigrant workers in Spain. BMC Public Health. 2011;11(1):1–9.

    Article  Google Scholar 

  41. McDonald JT, Kennedy S. Insights into the ‘healthy immigrant effect’: health status and health service use of immigrants to Canada. Soc Sci Med. 2004;59(8):1613–27.

    Article  PubMed  Google Scholar 

  42. Anikeeva O, Bi P, Hiller JE, Ryan P, Roder D, Han G-S. The health status of migrants in Australia: a review. Asia Pac J Public Health. 2010;22(2):159–93.

    Article  PubMed  Google Scholar 

  43. McMurtray A, Saito E, Nakamoto B. Language preference and development of dementia among bilingual individuals. Hawaii Med J. 2009;68(9):223.

    PubMed  Google Scholar 

  44. Goth US, Strøm BS. Language disintegration: communication ability in elderly immigrants with dementia. The Lancet Public Health. 2018;3(12):e563.

    Article  PubMed  Google Scholar 

  45. Haines TP, Hill A-M. Inconsistent results in meta-analyses for the prevention of falls are found between study-level data and patient-level data. J Clin Epidemiol. 2011;64(2):154–62.

    Article  PubMed  Google Scholar 

  46. Rapp K, Becker C, Cameron ID, König H-H, Büchele G. Epidemiology of falls in residential aged care: analysis of more than 70,000 falls from residents of bavarian nursing homes. J Am Med Dir Assoc. 2012;13(2):187. e1-. e6.

    Article  Google Scholar 

  47. Sherrington C, Lord SR, Close J, Barraclough E, Taylor M, Rourke O, et al. Development of a tool for prediction of falls in rehabilitation settings (Predict_FIRST): a prospective cohort study. J Rehabil Med. 2010;42(5):482–8.

    Article  PubMed  Google Scholar 

  48. Pereira CL, Baptista F, Infante P. Men older than 50 yrs are more likely to fall than women under similar conditions of health, body composition, and balance. Am J Phys Med Rehab. 2013;92(12):1095–103.

    Article  Google Scholar 

  49. Lee Y-S. Gender differences in physical activity and walking among older adults. J Women Aging. 2005;17(1–2):55–70.

    Article  PubMed  Google Scholar 

  50. Carter MW, Porell FW. Nursing home performance on select publicly reported quality indicators and resident risk of hospitalization: grappling with policy implications. J Aging Soc Policy. 2006;18(1):17–39.

    Article  PubMed  Google Scholar 

  51. Wysocki A, Kane RL, Dowd B, Golberstein E, Lum T, Shippee T. Hospitalization of elderly Medicaid long-term care users who transition from nursing homes. J Am Geriatr Soc. 2014;62(1):71–8.

    Article  PubMed  Google Scholar 

  52. Department of Health Australian Government. 2020 Aged Care Workforce Census. 2020.

  53. Namer Y, Razum O. Convergence theory and the salmon effect in migrant health. Oxford Research Encyclopedia of Global Public Health; 2018.

Download references

Acknowledgements

The authors wish to thank the partners and collaborators of this project including Anglicare, Northern Sydney Local Health District, Sydney North Primary Health Network, the Deeble Institute for Health Policy Research, and the Australian Aged Care Quality and Safety Commission. The authors acknowledge and thank Louise Lorr for supporting in assigning the country of birth.

Funding

The study was part of a partnership project funded by the Australian National Health and Medical Research Council (NHMRC) Partnership Project Grant in partnership with Anglicare (1170898). The funding organisation did not have any influence on the study design, data collection, analysis and interpretation as well as the preparation, review, or approval of the manuscript for publication.

Author information

Authors and Affiliations

Authors

Contributions

Conception– GH; Design and data analysis – GH, NW; Data interpretation – all authors; Initial manuscript drafting – GH, NW; Critical revision – all authors; Final approval for publication – all authors.

Corresponding author

Correspondence to Guogui Huang.

Ethics declarations

Ethics approval and consent to participate

The study was reviewed and approved by Macquarie University Human Research Ethics Committee (reference number, 52019614412614). All methods and analysis in this study were carried out in accordance with the principles of the Declaration of Helsinki.

Informed consent

The study received ethical approval from Macquarie University Human Research Ethics Committee (No.52019614412614). Since this is a retrospective cohort study utilising, de-identified, existing routinely collected aged care data, a waiver of informed consent was granted by Macquarie University Human Research Ethics Committee following the Australian National Statement on Ethical Conduct in Human Research Sect. 3.3.14 (a) as the study used previously collected de-identified data.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1:

Table S1. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Male.

Table S2. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Female.

Table S3. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Age ≤ 85.

Table S4. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Age > 85.

Table S5. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Permanent Residents.

Table S6. Fall Risk of Overseas-born RACF Residents Compared with Australia-born RACF Residents, Respite Residents.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, G., Wabe, N., Raban, M.Z. et al. The relationship between fall incidents and place of birth in residential aged care facilities: a retrospective longitudinal cohort study. BMC Geriatr 23, 257 (2023). https://doi.org/10.1186/s12877-023-03954-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12877-023-03954-7

Keywords