Accepted Manuscript Life-Space Assessment and Physical Activity Scale for the Elderly: Validity of Proxy Informant Responses James T. Cavanaugh, PT, PhD Kelley Crawford, PT, DPT PII:
S0003-9993(14)00268-8
DOI:
10.1016/j.apmr.2014.03.027
Reference:
YAPMR 55798
To appear in:
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
Received Date: 21 October 2013 Revised Date:
7 March 2014
Accepted Date: 25 March 2014
Please cite this article as: Cavanaugh JT, Crawford K, Life-Space Assessment and Physical Activity Scale for the Elderly: Validity of Proxy Informant Responses, ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2014), doi: 10.1016/j.apmr.2014.03.027. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Running Head: Validity of Proxy Informant Responses
Title: Life-Space Assessment and Physical Activity Scale for the Elderly: Validity of Proxy
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Informant Responses
Authors: James T. Cavanaugh, PT, PhD1 and Kelley Crawford, PT, DPT2
Department of Physical Therapy, University of New England, Portland, ME (USA)
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Department of Rehabilitation Medicine, Maine Medical Center, Portland, ME (USA)
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Study Location: University of New England, Portland, ME (USA)
Acknowledgements:
The work was sponsored by the Department of Physical Therapy of the University of
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New England, Portland, ME (USA).
The authors declare no competing financial interests.
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Corresponding Author Contact Information:
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J.T. Cavanaugh, PT, PhD, University of New England / Department of Physical Therapy, 716 Stevens Ave., Portland, ME 04103. Tel: 1-207-221-4595.
[email protected]. Reprints not available.
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Title: Life-Space Assessment and Physical Activity Scale for the Elderly: Validity of
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Proxy Informant Responses
3 ABSTRACT
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Objective: To validate the administration of the Life-space Assessment (LSA) and
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Physical Activity Scale for the Elderly (PASE) surveys to proxy informants, as would be
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necessary when measuring long-term outcomes in acutely ill, hospitalized older adults
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who are initially incapacitated but eventually return to the community.
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Design: Cross-sectional study.
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Setting: General community.
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Participants: Convenience sample of 40 dyads comprised of an ambulatory older adult
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and a familiar companion.
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Interventions: Dyads completed the LSA and PASE surveys on one occasion.
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Companions based their responses on the recent mobility and physical activity of the
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older adult.
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Main Outcome Measures: Paired total scores for each instrument.
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Results: At a group level, the difference between older adult and companion mean scores
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for each instrument was not significant (p > 0.05). Standardized mean difference values
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were small (d < 0.1). Paired scores were significantly yet moderately associated (ICC (1,
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1) = 0.84 - 0.88, p < 0.01). Difference in scores was not associated with time spent
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together (p > 0.05) or older adult gait speed (p > 0.05). At an individual level, older
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adults and companions agreed more closely on the LSA than the PASE. However,
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disagreement in excess of estimated measurement error occurred in 40% of dyads for the
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LSA and in none of the dyads for the PASE.
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Conclusions: Older adults and companions collectively provided similar responses on
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each instrument. Nonetheless, varying levels of agreement within individual dyads
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suggested that proxy responses should be considered carefully. Implications for clinical
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research and practice research are discussed.
KEY WORDS: Geriatrics; Motor activity; Outcome assessment (health care)
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ABBREVIATIONS
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CI:
Confidence interval
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ICU:
Intensive care unit
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ICC:
Intraclass correlation coefficient
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LSA: Life Space Assessment
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MDD: Minimum detectable difference
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PASE: Physical Activity Scale for the Elderly
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PRO: Patient reported outcome
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SDD: Smallest detectable difference
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The Life-Space Assessment (LSA)1 and the Physical Activity Scale for the Elderly (PASE)a, 2 represent patient-reported outcome (PRO) measures that quantify,
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respectively, an elderly respondent’s recent mobility and physical activity. Both represent
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the “participation” domain of the International Classification of Functioning, Disability,
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and Health,3 and accordingly, are well-suited for capturing community-level mobility and
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physical activity clinical outcomes. Importantly, however, the collection of baseline (i.e.,
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pre-admission) PRO data from acutely ill, hospitalized older adults involves important
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methodological considerations.4,5 One central issue is how to collect reliable and accurate
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baseline data from familiar proxy informants (e.g., family member, caregiver, or close
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companion) in circumstances when patients are mechanically ventilated, sedated, and / or
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present with communication, cognitive, or other severe impairment that prevents them
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from responding on their own behalf. Neither the LSA nor the PASE survey has been
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validated in this regard.
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The broad purpose of this study was to examine the validity of administering the LSA and PASE instruments to familiar proxy informants. To do so, we administered each
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survey to community-dwelling older adult-companion dyads, who were asked to base
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their responses on the mobility and physical activity of the older adult participant. Our
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primary aim was to examine the agreement between paired scores. Based on previous
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elder-proxy studies using physical function measures,6-9 we hypothesized that older adult
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and companion respondents would provide similar information on each survey. Our
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secondary aim was to examine the extent to which older adult-companion agreement
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might be biased by (a) the number of hours per week the pair spent together and (b) the
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ambulatory capability of the older adult. Based on a previous study,8 we hypothesized
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that closer agreement would be associated with more hours spent together. In contrast,
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given a lack of previous research, we conservatively hypothesized that no relationship
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would exist between the amount of agreement and older adult ambulatory capability.
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METHODS
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Design and Participants
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The study employed a cross-sectional design in which dyads formed by a community-dwelling older adult and his or her close companion were recruited as a
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sample of convenience. Older adult participants were at least 60 years of age and
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identified their companion as “someone who they have spent at least 7 hours per week
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with during the last month.” Study candidates were recruited by advertisement and word
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of mouth. In promoting the study (e.g., at local retirement communities), every effort was
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made to recruit a range of companion types; that is, those who shared a residence with the
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older adult participant (e.g., spouse; partner; sibling) and those who did not (e.g.,
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extended family; friend). Dyads were screened by the primary investigator (JTC) over the
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phone and excluded if either individual (1) was unable to speak English, (2) reported
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cognitive, memory, or communication impairments that limited his / her ability to
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complete surveys, or (3) if the targeted older adult participant was non-ambulatory. The
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Institutional Review Board for the Protection of Human Subjects at the University of
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New England approved the study.
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Measures
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Descriptive Measures: We recorded the age and gender of each participant, whether or not dyad members shared a residence, the type of relationship (e.g., spouse,
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friend, family member, caregiver), and the reported number of hours / week spent
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together during the previous month. To characterize older adult ambulatory mobility, we
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collected 2 trials of self-selected gait speed over a 3m distance; assistive devices were
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allowed as needed.10
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Life-Space Assessment: The LSA is a brief survey that asks respondents to reflect
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on their mobility activities during the preceding month.1 Mobility is categorized in terms
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of five increasingly broader “life-space” levels, ranging from within their home to
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beyond their town. Respondents indicate (1) whether or not they have been to each life
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space in the past four weeks, (2) if so, how many days per week, and (3) if so, whether or
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not they used equipment or needed help from another person. A composite score is
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calculated based on highest level of life-space achieved, frequency of attaining each
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level, and degree of independence at each level. Scores range from 0-120, with higher
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scores indicating greater mobility. Previous investigations have supported the construct
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and concurrent validity of the LSA in older adult populations,1, 11 its test-retest reliability
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(Intraclass correlation coefficient (ICC) = 0.96),1 and its utility as an outcome measure in
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clinical trials.12-14 We administered the LSA to both dyad members, asking each to focus
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on the recent mobility of the older adult participant and thereby generating a LSAOlder Adult
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and LSACompanion score.
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Physical Activity Scale for the Elderly: The PASE is a brief survey designed to
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measure the physical activity of older adults during leisure, household, and occupational
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activities occurring over the previous 7 day period.2 PASE item scores are calculated by
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multiplying either time spent (hours / week) or participation in (yes / no) each activity
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with empirically derived item weights. The PASE total score represents the sum of
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individual item scores and ranges from 0 to over 400. Higher scores correspond to greater
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physical activity. The PASE has been validated for use in elderly populations,2,15 and its
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test-retest reliability has been reported (r = 0.75).2 We administered the PASE to both
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dyad members, asking each to focus on the recent physical activity of the older adult
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participant and thereby generating a PASEOlder Adult and PASECompanion score.
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Procedures
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Trained research personnel collected descriptive data and administered the LSA and PASE to each older adult and companion dyad in a place convenient to them (e.g. the
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older adult’s home). Participants were sequestered from one another when completing the
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surveys to avoid influencing each other’s responses.
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Data Analysis
Data were analyzed using SPSS version 20.b Descriptive statistics were used to
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characterize the sample. To account for the possibility of recall error by either participant,
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time spent together was characterized using the average reported value. Gait speed was
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calculated as the mean of 2 trials.
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Our analysis was based partly on the approach used in a previous investigation.16
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At a group level, we analyzed agreement of scores using the dependent samples t-test (α
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= 0.05), standardized mean difference (d),17 and ICC (1,1). At an individual level, we
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calculated difference values between paired scores, constructed Bland-Altman plots,18
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and determined the 95% limits of agreement. Finally, we analyzed the relationship
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between difference in paired scores and (a) time spent together and (b) mean gait speed
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using appropriate parametric or non-parametric correlation coefficients (α = 0.05).
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To facilitate the interpretation of individual-level results, we compared one
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instrument to the other by normalizing the raw difference scores as percent difference
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values (= 100* [(older adult score – companion score) / mean of paired scores]). We also
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used previous literature to provide estimates of measurement error against which the
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agreement for each instrument could be compared. Because LSA measurement error
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values had not been published previously, we used standard formulas19 and information
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contained in the original LSA publication1 to calculate a Minimum Detectable Difference
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(MDD) value based on a 95% confidence interval (MDD95% = 13.7 using ICC = 0.96 and
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Standard Error of Measurement = 4.94.) For the PASE, we lacked sufficient information
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from previous literature to produce an analogous measurement error estimate. Thus, we
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selected instead the only available PASE measurement error value available, the Smallest
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Detectable Difference (SDD) based on a 95% confidence interval from a recent study of
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adult patients with cancer (SDD95% = 84).20
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RESULTS
Forty-five dyads were screened initially. None were rejected due to language,
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cognitive, or physical limitations. Four dyads were unable to participate in data collection
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due to scheduling conflicts. Data from one dyad were incomplete and therefore not
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included in the analysis.
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The final sample contained 22 female and 18 male older adult participants (mean age ± SD of 80.7 ± 7.5 years.) Mean gait speed ± SD was 0.82 ± 0.26 m/s. Companions
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included 33 females and 7 males (mean age ± SD of 69.2 ± 14.4 years.) Two companions
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did not report their age. Twenty-five companions reported living with the older adult.
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Mean time spent per week together ± SD was 90.7 ± 62.3 hours, with 19 dyads reporting
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spending more than 100 hours per week together. Companions included 21 spouses, 11
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children, 6 friends, and 2 unrelated caregivers. Additional characteristics of the sample
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have been reported elsewhere.21
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Life-Space Assessment
Older adults as a group reported a moderate level of life-space mobility (mean LSAOlder Adult = 71.1, 95% confidence interval (CI) = 61.8 – 80.3), similar to the collective
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report provided by their companions (mean LSACompanion = 68.5, 95% CI = 59.8 – 77.2).
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The difference between group mean scores was not significant (mean difference = 2.54,
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95% CI = - 1.77 to 6.84, t (39) = 1.19, p = 0.24), and the standardized mean difference
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was small (d = 0.09). The 2 sets of scores were significantly yet moderately associated
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(ICC (1,1) = 0.88, 95% CI = 0.79 - 0.94, p < 0.001). Difference in LSA scores was not
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associated with time spent together (Spearman rho = -0.26, p = 0.11) or older adult gait
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speed (Pearson r = 0.06, p = 0.70). Family members (n = 32) were relatively more
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accurate in their characterization of older adult life-space mobility than friends or
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caregivers (n = 8) (Figure 1). At an individual level, the mean percent difference between
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paired LSA scores was 18.1% (95% CI = 13.5 – 22.7). Seven dyads had ≤ 5% difference
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in scores, 15 dyads had ≤ 10% difference in scores, and 22 dyads had ≤ 20% difference in
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scores (Figure 2). For all dyads, the percent difference in paired LSA scores was ≤ 60%.
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Twenty-four dyads had raw difference values less than MDD95% = 13.7.
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Figure 3A features a Bland-Altman plot,18 in which the mean of the paired scores
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(x-axis) was plotted against difference in paired LSA scores (y-axis). There was 1 case of
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exact agreement. Positive differences (n = 23) indicated cases in which older adults
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reported greater life-space mobility than their companion (mean difference = 11.8, 95%
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CI = 8.1 – 15.4). Negative differences (n = 16) indicated cases in which companions
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reported greater life-space mobility of the older adult than the older adult reported about
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his or herself (mean difference = - 10.6, 95% CI = - 14.4 to - 6.8). The maximum paired
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difference (=26.0) was less than 26.9, the 95% limits of agreement.
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Physical Activity Scale for the Elderly
Physical activity levels reported by older adults as a group were relatively low
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(mean PASEOlder Adult score = 81.7, 95% CI = 63.4 – 100.0) and slightly less than the
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collective report of the companions about the older adults (mean PASECompanion = 82.4,
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95% CI = 64.6 – 100.1). The difference between group mean scores was not significant
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(mean difference = - 0.70, 95% CI = - 11.77 to 9.71, t (39) = 0.14, p = 0.89), and the
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standardized mean difference between scores was small (d = 0.01). The 2 sets of scores
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were significantly yet moderately associated (ICC (1,1) = 0.84, 95% CI = 0.71 - 0.91, p