Exploration of the association between quality of life, assessed by the EQ-5D and ICECAP-O, and falls risk, cognitive function and daily function, in older adults with mobility impairments
© Davis et al.; licensee BioMed Central Ltd. 2012
Received: 13 February 2012
Accepted: 19 October 2012
Published: 24 October 2012
Our research sought to understand how falls risk, cognitive function, and daily function are associated with health related quality of life (using the EuroQol-5D) and quality of life (using the ICECAP-O) among older adults with mobility impairments.
The EQ-5D and ICECAP-O were administered at 12 months post first clinic attendance at the Vancouver Falls Prevention Clinic. We report descriptive statistics for all baseline characteristics collected at first clinic visit and primary outcomes of interest. Using multivariate stepwise linear regression, we assessed the construct validity of the EQ-5D and ICECAP-O using three dependent measures that are recognized indicators of “impaired mobility” – physiological falls risk, general balance and mobility, and cognitive status among older adults.
We report data on 215 seniors who attended the Vancouver Falls Prevention Clinic and received their first clinic assessment. Patients had a mean age of 79.3 (6.2) years. After accounting for known covariates (i.e., age and sex), the ICECAP-O domains explained a greater amount of variation in each of the three dependent measures compared with the EQ-5D domains.
Both the EQ-5D and ICECAP-O demonstrate associations with falls risk and general balance and mobility; however, only the ICECAP-O was associated with cognitive status among older adults with mobility impairments.
ClinicalTrials.gov Identifier: NCT01022866
KeywordsICECAP-O EQ-5D Construct validity Older adults Falls
Health related quality of life (HRQoL) is an important construct for healthy aging; it describes an individual’s overall health status . Previous studies have demonstrated significant associations between self-efficacy, mobility, cognition and HRQoL . Specifically, HRQoL is highly associated with mobility impairments and cognitive status in older adults [3–5]. Critically, functional abilities such as walking are associated with changes in both physical and mental HRQoL .
Impaired mobility is also significantly associated with quality of life (QoL)  – a construct that is distinct from HRQoL in that it captures gains or losses to an individual’s QoL beyond considering health alone. Specifically, older adults with impaired mobility experience a multitude of consequences beyond health including: loss of independence and social isolation . Thus, current evidence strongly suggests older adults with impaired mobility are at significant risk for decline in both HRQoL and QoL . Further, QoL is associated with cognitive status in older adults .
One key question remains unanswered: Are we adequately assessing HRQoL and QoL among older adults with mobility impairments? To address this question, we first need to ascertain the association between falls risk, cognitive function, and general balance and mobility, and health-related quality of life and quality of life among older adults with mobility impairments.
The most widely used utility-based measure of HRQoL is the EQ-5D [12–14]. The association of falls risk, cognitive function and general balance and mobility to HRQoL as assessed using the EQ-5D among older adults with mobility impairments remains unknown. The EQ-5D assesses an individual’s HRQOL according to the following attributes: mobility, self-care, usual activities, pain, anxiety and depression . The EQ-5D yields a single summary score, anchored at zero (equivalent to death) and 1.0 (‘full health’). Values of less than zero define health states worse than death.
The Index of Capability for older adults (ICECAP-O) is a relatively new measure developed to provide a broader assessment of QoL among older adults [11, 15]. The ICECAP-O measure covers attributes of capability found to be important determinants of QoL among older adults in the UK [11, 15] – its descriptive system results from an extensive qualitative investigation . The measure comprises five attributes:
Attachment (love and friendship)
Security (thinking about the future without concern)
Role (doing things that make you feel valued)
Enjoyment (enjoyment and pleasure)
The value system for the ICECAP-O provides a single summary score, anchored at zero (‘no capability’) and 1.0 (‘full capability’), for each state described in terms of the five attributes.
There remains a gap in our current knowledge regarding the understanding of the association of falls risk, cognitive function and general balance and mobility with HRQoL (assessed using the EQ-5D) and quality of life (assessed using the ICECAP-O) among older adults with mobility impairments. Hence, we aim to examine the association of the EQ-5D with the ICECAP-O with valid and reliable measures of physiological falls risk, general balance and mobility, and cognitive status among older adults with mobility impairments.
We conducted a cross-sectional analysis of participants visiting the Vancouver Falls Prevention Clinic (http://www.fallsclinic.com) due to a fall from January 2009 through May 2011.
The sample consisted of women and men referred by their general practitioner or emergency department physician to the Vancouver Falls Prevention Clinic. From January 2009 through January 2011, all patients presenting to the Vancouver Falls Prevention Clinic were invited to participate. Community dwelling women and men who lived in the lower mainland region of British Columbia were eligible for study entry if they:
were adults ≥ 70 years referred by a medical professional to the Vancouver Falls Prevention Clinic as a result of seeking medical attention for a non-syncopal fall in the previous 12 months;
understood, spoke, and read English proficiently;
had a Mini-Mental State Examination (MMSE)  score ≥ 24/30;
had a Physiological Profile Assessment (PPA)  score of at least 1.0 SD above age-normative value;
were expected to live ≥ 12 months;
were able to walk 3 metres; and
were able to provide written informed consent
We excluded those with a neurodegenerative disease (e.g., Parkinson’s disease) or dementia, patients who recently had a stroke, those with clinically significant peripheral neuropathy or severe musculoskeletal or joint disease, and anyone with a history indicative of carotid sinus sensitivity (i.e., syncopal falls).
Ethical approval was obtained from the Vancouver Coastal Health Research Institute and the University of British Columbia’s Clinical Research Ethics Board. All participants provided written informed consent.
The data presented in this paper include baseline characteristics collected at participants’ first clinic assessment. The ICECAP-O and EQ-5D, were collected once at 12 months post first clinic assessment.
Clinical indicators of falls risk, mobility, and cognitive status
As part of the clinical assessment in the Falls Prevention Clinic visit, a comprehensive set of questionnaires and clinical tests were administered. From these, we selected three measures as key indicators of “impaired mobility” -- physiological falls risk, general balance and mobility, and cognitive status among older adults. These measures were chosen based on the rationale that physiological functions such as vision, proprioception, strength, reaction time, and postural stability are significantly associated with falls risk [18–20]. Impaired mobility, balance, and cognitive function are also key risk factors for falls.
For physiological falls risk, we used the PPA ©  (Prince of Wales Medical Research Institute, AUS). The PPA is used and recognized internationally in by both clinicians and researchers in falls prevention. It is a valid and reliable tool for falls risk assessment and this measure has a 75% predictive accuracy for falls in older people . The PPA computes a falls risk score for each individual based on the individual’s performance of five physiological domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity). A PPA z-score of 0–1 indicates mild risk, 1–2 indicates moderate risk, 2–3 indicates high risk, and 3 and above indicates marked risk .
We assessed general balance and mobility using the Short Physical Performance Battery (SPPB) . For the SPPB, participants were assessed on performances of standing balance, walking, and sit-to-stand. Each component is rated out of four points, for a maximum of 12 points. Poor performance, indicated by a score of 9 or less, on this scale predicts subsequent disability .
For global cognitive function, we used the MMSE . A score 24/30 or greater indicates intact global cognitive function.
For assessing activities of daily living, we used the Instrumental Activities of Daily Living (IADLs) Scale. Participants completed the Lawton and Brody  Instrumental Activities of Daily Living Scale to screen for impaired IADLs. This scale subjectively assesses ability to telephone, shop, prepare food, housekeep, do laundry, handle finances, be responsible for taking medication and determining mode of transportation.
Health related quality of life
The EQ-5D is a short five-item multiple choice questionnaire that measures an individual’s HRQoL and health status according to the following five domains: mobility, self-care, usual activities, pain and anxiety/depression . Each domain has three possible options that either indicates no problems, some problems or severe problems. The EQ-5D health state utility values (HSUVs) at each time point are bounded from −0.54 to 1.00 where a score of less than zero is indicative of a health state worse than death. The HSUVs represent values that individuals within society assign – values for specific health states such as having rheumatoid arthritis relative to perfect health – these are UK societal values for given health states.
Qualify of life
We assessed QoL using the ICECAP-O [11, 15]. The ICECAP-O is a short five-item multiple choice questionnaire that measures an individual’s overall QoL according to the following five attributes: attachment (love and friendship), security (thinking about the future without concern), role (doing things that make you feel valued), enjoyment (enjoyment and pleasure) and control (independence). Each domain has four possible options. The ICECAP-O can be used to calculate a global score on a zero to one scale where zero represents no capability and one represents full capability. The ICECAP-O can also be converted to a utility scale to provide further comparability with other generic preference based instruments .
Descriptive statistics were used to characterize the study sample.
To measure the association between the EQ-5D and the ICECAP-O global scores with the PPA, SPPB, and MMSE we estimated the Pearson correlation coefficients. We used Spearman correlation coefficients for the specific domains of the EQ-5D (mobility, self-care, usual activities, pain and depression) & ICECAP-O (attachment, security, role, enjoyment and control) with the PPA, SPPB, MMSE and IADLs.
We conducted three separate stepwise multivariate linear regression models with valid and reliable measures of falls risk, general balance and mobility and cognitive status as the dependent variables. An alpha level of 0.1 was used for the stepwise selection approach. All regression models were bootstrapped with 1000 replications to determine the consistency of each of the three final multivariate models. Within each of these three models, we adjusted for known covariates including age and sex. Our key independent variables of interest were the EQ-5D domains (mobility, self-care, usual activities, pain, anxiety/depression) and ICECAP-O domains (attachment, security, role, enjoyment and control). For all domains of the EQ-5D and the ICECAP-O, level 1 was used as the reference category. Level 1 for both instruments indicates no problems with the domain of interest. All statistical analyses were performed using STATA Version11.0.
Characteristics of the Falls Prevention Clinic cohort (N=215)
Mean (SD) or Median (IQR) Or Number (%)
Body Mass Index (kg/m2)
Instrumental Activities of Daily Living (max 8 points)
Physiological Profile Assessment
Short Performance Physical Battery (max 12 points)
Mini Mental State Examination (max 30 points)
EQ-5D Global Score (0–1 scale)
ICECAP-O Global Score (0–1 scale)
Correlation coefficient matrix summary for measures of fall risk, mobility, cognitive status and activities of daily living versus health related quality of life and quality of life domains
Physiological profile assessment
Short physical performance battery
Mini-mental state examination
Instrumental activities of daily living
EQ-5D Global Score
ICECAP-O Global Score
None of the domains of the EQ-5D were significantly correlated with the PPA or MMSE (p>0.05). The EQ-5D domain of mobility (r2 = −0.177, p<0.05) was significantly correlated with the SPPB. The EQ-5D domain of self-care (r2 = −0.238, p<0.05) was significantly correlated with IADLs. For the ICECAP-O, the domain ‘control’ was significantly associated with the PPA (r2 = −0.192, p<0.05), the domains ‘role’ and ‘control’ were significantly associated with the SPPB (r2 = 0.175, p<0.05; r2 = 0.299, p<0.05), the domain ‘security’ was significantly associated with the MMSE (r2 = −0.169, p<0.05) and the domains of role (r2 = −0.230, p<0.05), enjoyment (r2 = −0.167, p<0.05) and control (r2 = −0.392, p<0.05) were significant associated with IADLs.
Multivariate linear regression summary for measures of fall risk, mobility, cognitive status and activities of daily living versus health related quality of life and quality of life
Physiological profile assessment
Unstandardized ß (Standard Error)
Sex (Reference = Female)
Usual Activities_3 (Reference=1)
Short performance physical battery
Self care_3 (Reference=1)
Mini-mental state examination
Instrumental activities of daily living
Physiological falls risk
After accounting for known covariates (i.e., age and sex), we found that the ICECAP-O domains of role (level 4), enjoyment (level 4) and control (levels 2 and 3) explained a statistically significant amount of variation in the PPA score (p < 0.05). Mobility (level 2), a domain of the EQ-5D explained a non-significant degree of variation in the PPA score. Depression (level 2) and Usual Activities (level 3) of the EQ-5D explained a statistically significant amount of variation in the PPA score (p < 0.05).
General balance and mobility
After accounting for known covariates, we found that the ICECAP-O domains of security (levels 3 and 4) and control (level 4) explained a statistically significant amount of variation in the SPPB score (p < 0.05). Self-care (level 3), a domain of the EQ-5D explained a significant degree of variation in the SPPB score (p < 0.05).
After accounting for known covariates, we found that the ICECAP-O domains of control (level 3), security (levels 2, 3 and 4) and role (level 4) explained a statistically significant amount of variation in the MMSE score (p < 0.05). None of the domains of the EQ-5D explained a significant degree of variation in the MMSE score.
Instrumental activities of daily living
After accounting for known covariates (i.e., age and sex), we found that the ICECAP-O domains of role (level 3), security (levels 4) and control (levels 3 and 4) explained a statistically significant amount of variation in IADLs (p < 0.05). Pain (level 2), a domain of the EQ-5D explained a non-significant degree of variation in IADLs. Self-care (level 2), a domain of the EQ-5D explained a statistically significant amount of variation in IADLs (p < 0.05).
Discussion and conclusions
Our data suggest that the EQ-5D and ICECAP-O are significantly correlated. Of note, a greater number of domains of the ICECAP-O compared with the EQ-5D explain significant variation in the PPA, SPPB, MMSE and IADLs. Using three key indicators of “impaired mobility”, we demonstrated several distinct differences between select domains of the EQ-5D and the ICECAP-O. Specifically, role, enjoyment and control (ICECAP-O domains) explained a statistically significant amount of variation in falls risk. Depression and usual activities (EQ-5D domains) explained a statistically significant amount of variation in falls risk. Security and control (ICECAP-O domains) explained a statistically significant amount of variation in general balance and mobility. Self-care (EQ-5D domain) explained a significant degree of variation in general balance and mobility. Control, security and role (ICECAP-O domains) explained a statistically significant amount of variation in the cognitive status and in IADLs; whereas, similar findings were not observed for any of the EQ-5D domains. Hence, our findings suggest that among older adults with impaired mobility, both instruments provide valuable yet unique information.
Strengths and weaknesses of this study
A key strength of this study is that it compares the construct validity of the ICECAP-O and the EQ-5D in a specific population of older adults with impaired mobility. Given that the ICECAP-O is a relatively new instrument, this study provides a population specific recommendation for use of the ICECAP-O in select samples. This comparison is also useful given that the EQ-5D is a widely used instrument. It also provides a benchmark from which future studies can compare the construct validity of these and other widely used instruments such as the Short Form -6D  and Health Utilities Index .
We recognize that the analyses in this paper are cross-sectional and are therefore unable to infer causation. Further, the small sample size may have limited our ability to detect a statistically significant difference. To address this limitation, we conducted 1000 bootstrap replications of the three stepwise linear regression models. Lastly, our study is population specific to older adults with mobility impairment and did not include individuals with significant cognitive impairment. Thus, we are not able to generalize our findings to such broader populations.
Comparison with other research
To our knowledge, only one study has examined associations of the ICECAP-O in a population of older adults . This study demonstrated the first evidence of associations between the capability measure and measures of functioning . Although a few studies have examined the validity of the EQ-5D in a general population of adults including older adults [26, 27], to date, there is no established validation work for the EQ-5D among older adults with mobility impairments.
Implications for research and practice
The study of older adults with mobility impairments is essential because injuries in this population are associated with increased morbidity, decreased functioning and increased healthcare resource utilization [20, 28–30]. Our findings are the first to highlight that both the EQ-5D and the ICECAP-O are associated with reliable and valid markers of falls risk and general balance and mobility among older adults with mobility impairments; however, the ICECAP-O captures key indicators of impaired mobility better. Further, the ICECAP-O also captures key indicators of cognitive function better. As such, this study provides a platform for recommending the ICECAP-O to assess QoL among older adults with mobility impairments.
Our study suggests that both the EQ-5D and ICECAP-O demonstrate associations with falls risk and general balance and mobility; however, only the ICECAP-O was associated with cognitive status among older adults with mobility impairments.
We obtained approval for the Vancouver Falls Prevention Clinical database from UBC Clinical Ethics Review Board. We thank the Vancouver Falls Prevention Clinical database participants for participating in this study. The Canadian Institutes for Health Research (TLA) and Vancouver Coastal Health (SB, JCD) provided funding for this study. TLA is also funded by a Michael Smith Foundation for Health Research Scholar Award and a Canadian Institute for Health Research Canada New Investigator Award and is a Canada Research Chair (Tier II) in Physical Activity, Mobility, and Cognitive. JCD is funded by a Canadian Institute for Health Research Canada and a Michael Smith Foundation for Health Research Postdoctoral Fellowship. This study was supported by the CIHR Emerging Team Grant (KK TLA) “Centre for Hip Health and Mobility: A Team Approach to Mobility in Vulnerable Seniors. TLA, SB, JCD and KK were principal investigator for the Falls Prevention Clinic Database. TLA, JCD and SB were responsible for study concept and design, acquisition of data, data analysis and interpretation, writing and reviewing of the manuscript. RM and JR were responsible for acquisition of data, data interpretation and interpretation, and critical review of the manuscript. KK was responsible for data interpretation and critical review of the manuscript.
- Kirchengast S, Haslinger B: Gender differences in health-related quality of life among healthy aged and old-aged Austrians: cross-sectional analysis. Gend Med. 2008, 5 (3): 270-278. 10.1016/j.genm.2008.07.001.View ArticlePubMedGoogle Scholar
- Liu-Ambrose T, Khan KM, Donaldson MG, Eng JJ, Lord SR, McKay HA: Falls-related self-efficacy is independently associated with balance and mobility in older women with low bone mass. J Gerontol A Biol Sci Med Sci. 2006, 61 (8): 832-838. 10.1093/gerona/61.8.832.View ArticlePubMedGoogle Scholar
- Fagerstrom C, Borglin G: Mobility, functional ability and health-related quality of life among people of 60 years or older. Aging Clin Exp Res. 2010, 22 (5–6): 387-394.View ArticlePubMedGoogle Scholar
- Davis JC, Marra CA, Najafzadeh M, Liu-Ambrose T: The independent contribution of executive functions to health related quality of life in older women. BMC Geriatr. 2010, 10: 16-10.1186/1471-2318-10-16.View ArticlePubMedPubMed CentralGoogle Scholar
- Davis JC, Marra CA, Liu-Ambrose TY: Falls-related self-efficacy is independently associated with quality-adjusted life years in older women. Age Ageing. 2011, 40 (3): 340-346. 10.1093/ageing/afr019.View ArticlePubMedPubMed CentralGoogle Scholar
- Heydarnejad S, Dehkordi AH: The effect of an exercise program on the health-quality of life in older adults. A randomized controlled trial. Dan Med Bull. 2010, 57 (1): A4113-PubMedGoogle Scholar
- Gill TM, Baker DI, Gottschalk M, Peduzzi PN, Allore H, Byers A: A program to prevent functional decline in physically frail, elderly persons who live at home. N Engl J Med. 2002, 347 (14): 1068-1074. 10.1056/NEJMoa020423.View ArticlePubMedGoogle Scholar
- Fielding RA, Rejeski WJ, Blair S, Church T, Espeland MA, Gill TM, Guralnik JM, Hsu FC, Katula J, King AC, et al: The Lifestyle Interventions and Independence for Elders Study: Design and Methods. J Gerontol A Biol Sci Med Sci. 2011, 66A (11): 1226-1237. 10.1093/gerona/glr123.View ArticlePubMed CentralGoogle Scholar
- Flynn TN, Chan P, Coast J, Peters TJ: Assessing Quality of Life among British Older People Using the ICEPOP CAPability (ICECAP-O) Measure. Appl Health Econ Health Policy. 2011, 9 (5): 317-329. 10.2165/11594150-000000000-00000.View ArticlePubMedGoogle Scholar
- Langlois F, Vu TT, Kergoat MJ, Chasse K, Dupuis G, Bherer L: The multiple dimensions of frailty: physical capacity, cognition, and quality of life. Int Psychogeriatr. 2012, 24 (9): 1-8.View ArticleGoogle Scholar
- Coast J, Flynn TN, Natarajan L, Sproston K, Lewis J, Louviere JJ, Peters TJ: Valuing the ICECAP capability index for older people. Soc Sci Med. 2008, 67 (5): 874-882. 10.1016/j.socscimed.2008.05.015.View ArticlePubMedGoogle Scholar
- Dolan P: Modeling valuations for EuroQol health states. Med Care. 1997, 35 (11): 1095-1108. 10.1097/00005650-199711000-00002.View ArticlePubMedGoogle Scholar
- Brazier J, Roberts J, Tsuchiya A, Busschbach J: A comparison of the EQ-5D and SF-6D across seven patient groups. Health Econ. 2004, 13 (9): 873-884. 10.1002/hec.866.View ArticlePubMedGoogle Scholar
- Marra CA, Woolcott JC, Kopec JA, Shojania K, Offer R, Brazier JE, Esdaile JM, Anis AH: A comparison of generic, indirect utility measures (the HUI2, HUI3, SF-6D, and the EQ-5D) and disease-specific instruments (the RAQoL and the HAQ) in rheumatoid arthritis. Soc Sci Med. 2005, 60 (7): 1571-1582. 10.1016/j.socscimed.2004.08.034.View ArticlePubMedGoogle Scholar
- Coast J, Peters TJ, Natarajan L, Sproston K, Flynn T: An assessment of the construct validity of the descriptive system for the ICECAP capability measure for older people. Qual Life Res. 2008, 17 (7): 967-976. 10.1007/s11136-008-9372-z.View ArticlePubMedGoogle Scholar
- Folstein MF, Folstein SE, McHugh PR: “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975, 12 (3): 189-198. 10.1016/0022-3956(75)90026-6.View ArticlePubMedGoogle Scholar
- Lord S, Sherrington C, Menz H: A physiological profile approach for falls prevention. Falls in older people Risk factors and strategies for prevention. 2001, Cambridge: Cambridge University Press, 221-238.Google Scholar
- Lord SR, Clark RD, Webster IW: Physiological factors associated with falls in an elderly population. J Am Geriatr Soc. 1991, 39 (12): 1194-1200.View ArticlePubMedGoogle Scholar
- Lord SR, Menz HB, Tiedemann A: A physiological profile approach to falls risk assessment and prevention. Phys Ther. 2003, 83 (3): 237-252.PubMedGoogle Scholar
- Lord SR, Ward JA, Williams P, Anstey KJ: Physiological factors associated with falls in older community-dwelling women. J Am Geriatr Soc. 1994, 42 (10): 1110-1117.View ArticlePubMedGoogle Scholar
- Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB: Lower-Extremity Function in Persons over the Age of 70 Years as a Predictor of Subsequent Disability 10.1056/NEJM199503023320902. N Engl J Med. 1995, 332 (9): 556-562. 10.1056/NEJM199503023320902.View ArticlePubMedGoogle Scholar
- Lawton MP, Brody EM: Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969, 9 (3): 179-186. 10.1093/geront/9.3_Part_1.179.View ArticlePubMedGoogle Scholar
- Rowen D, Brazier J, Tsuchiya A, Alava MH: Valuing states from multiple measures on the same visual analogue sale: a feasibility study. Health Econ. 2011, 21 (6): 715-729.View ArticlePubMedGoogle Scholar
- Brazier J, Roberts J, Deverill M: The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002, 21 (2): 271-292. 10.1016/S0167-6296(01)00130-8.View ArticlePubMedGoogle Scholar
- Feeny D, Furlong W, Torrance GW, Goldsmith CH, Zhu Z, DePauw S, Denton M, Boyle M: Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Med Care. 2002, 40 (2): 113-128. 10.1097/00005650-200202000-00006.View ArticlePubMedGoogle Scholar
- Barton GR, Sach TH, Avery AJ, Jenkinson C, Doherty M, Whynes DK, Muir KR: A comparison of the performance of the EQ-5D and SF-6D for individuals aged >or= 45 years. Health Econ. 2008, 17 (7): 815-832. 10.1002/hec.1298.View ArticlePubMedGoogle Scholar
- Luo N, Johnson JA, Shaw JW, Feeny D, Coons SJ: Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index. Med Care. 2005, 43 (11): 1078-1086. 10.1097/01.mlr.0000182493.57090.c1.View ArticlePubMedGoogle Scholar
- Campbell AJ, Borrie MJ, Spears GF: Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989, 44 (4): M112-117. 10.1093/geronj/44.4.M112.View ArticlePubMedGoogle Scholar
- O’Loughlin JL, Robitaille Y, Boivin JF, Suissa S: Incidence of and risk factors for falls and injurious falls among the community-dwelling elderly. Am J Epidemiol. 1993, 137 (3): 342-354.PubMedGoogle Scholar
- Tinetti ME, Speechley M, Ginter SF: Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988, 319 (26): 1701-1707. 10.1056/NEJM198812293192604.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2318/12/65/prepub