Dataset Information

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

ABSTRACT:

Background

A physical performance evaluation can inform fall risk in older people, however, the predictiveness of a one-time assessment is limited. The trajectory of physical performance over time has not been well characterized and might improve fall prediction. We aimed to characterize trajectories in physical performance and determine if fall prediction improves using trajectories of performance.

Methods

This was a cohort design using data from the National Health and Aging Trends Study. Physical performance was measured by the short physical performance battery (SPPB) with scores ranging from 0 (worst) to 12 (best). The trajectory of SPPB was categorized using latent class modeling and slope-based multilevel linear regression. We used Cox proportional hazards models with an outcome of time to ≥2 falls from annual self-report to assess predictiveness after adding SPPB trajectories to models of baseline SPPB and established non-physical-performance-based variables.

Results

The sample was 5969 community-dwelling Medicare beneficiaries aged ≥65 years. The median number of annual SPPB evaluations was 4 (IQR, 3-7). Mean baseline SPPB was 9.2 (SD, 3.0). The latent class model defined SPPB trajectories over a range of two to nineteen categories. The mean slope from the slope-based model was -0.01 SPPB points/year (SD, 0.14). Discrimination of the baseline SPPB model to predict time to ≥2 falls was fair (Harrell's C, 0.65) and increased after adding the non-performance-based predictors (Harrell's C, 0.70). Discrimination slightly improved with the SPPB trajectory category variable that had the best fit (Harrell's C, 0.71) but did not improve with the SPPB linear slope. Calibration with and without the trajectory categories was similar.

Conclusions

We found that the trajectory of physical performance did not meaningfully improve upon fall prediction from a baseline physical performance assessment and established non-performance-based information. These results do not support longitudinal SPPB assessments for fall prediction.

SUBMITTER: Kerber KA

PROVIDER: S-EPMC10086801 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

Kerber Kevin A KA Bi Ran R Skolarus Lesli E LE Burke James F JF

Journal of the American Geriatrics Society 20220809 12

<h4>Background</h4>A physical performance evaluation can inform fall risk in older people, however, the predictiveness of a one-time assessment is limited. The trajectory of physical performance over time has not been well characterized and might improve fall prediction. We aimed to characterize trajectories in physical performance and determine if fall prediction improves using trajectories of performance.<h4>Methods</h4>This was a cohort design using data from the National Health and Aging Tre ...[more]

PMID: 36527411

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Project description:BackgroundAlthough self-rated health (SRH) and performance-based physical function (PPF) are both strong predictors of mortality, little research has investigated the relationships between them. The objective of this study was to evaluate longitudinal, bi-directional associations between SRH and PPF.MethodsWe evaluated longitudinal associations between SRH and PPF in 3,610 adults aged 65-89 followed for an average of 4.8 (standard deviation [SD]: 4.4) years between 1994 and July 2011 in the Adult Changes in Thought study, a population-based cohort in the Seattle area. SRH was assessed with a single-item question in the ACT study. Participants were asked at each evaluation to rate their health as "excellent", "very good", "good", "fair", or "poor" in response to the question "In general, how would you rate your health at this time". PPF scores (ranging from 0-16, with higher indicating better performance) included walking speed, chair rises, grip strength, and balance.ResultsAt the baseline visit, participants averaged 74.5 (SD: 5.8) years of age and 2,115 (58.6%) were female. In multivariable linear mixed models, PPF declined with age, with more rapid decreases associated with very good, good, and fair (vs. excellent) baseline SRH. Adjusted annual change in PPF was -0.17 points (95% confidence interval [CI]: -0.19, -0.15) for individuals with excellent baseline SRH and -0.21 points (95% CI: -0.22, -0.19) for participants with fair SRH. In multivariable generalized linear mixed models, lower baseline PPF quartiles were associated with lower odds of excellent/very good/good SRH at age 75, however, differences between baseline PPF quartiles diminished with age.ConclusionsThese results suggest that less than excellent SRH predicts decline in physical functioning, however, poor physical functioning may not predict change in SRH in a reciprocal fashion. SRH provides a simple assessment tool for identifying individuals at increased risk for decline in physical function.

Project description:BackgroundA core component of older adult health care assessment includes identifying fall risk, which also includes identifying those with subtle balance deficits.ObjectiveTo compare body displacement of the Center of Pressure (CoP) and time held during the balance test. Also, to examine whether balance tests at baseline can predict falls after 6 months.MethodsA longitudinal study with 153 community-dwelling older adults, between 60-89 years old. Anteroposterior (AP) and mediolateral (ML) amplitude and velocity CoP displacements were assessed in four upright positions using a force platform: double-leg, semi-tandem, tandem, and single-leg stances, with a maximum duration of 30 s each. Adjusted repeated measures ANOVA were used to compare the differences among the balance positions. Comparisons between males and females were also conducted. Logistic regression adjusted for confounders was performed to verify whether upright balance tests can predict future falls.ResultsAs the base of support narrows, body sway increases. A decrease in stance time was observed across the balance stages, i.e., double-leg/semi-tandem versus tandem versus single-leg stances. The mean duration held in the single-leg stance was 14.8 s and for tandem was 22.2 s. Similar stance durations were observed for double-leg and semi-tandem stances. Males were able to maintain balance positions longer than females even with greater CoP displacement. ML amplitude of CoP displacement and the time held during tandem and single-leg positions were able to predict falls after 6 months (p < 0.05).ConclusionIn clinical practice in which only stance time is recorded, it is possible to interchangeably use the double-leg or semi-tandem stance. To identify early signs of imbalance, we suggest setting a time limit for the balance test equal to or greater than 23 s, as 10 s appear to be insufficient to detect subtle balance deficits. The time maintenance on tandem and single-leg positions was able to predict future falls.

Project description:ObjectiveTo determine the association of chronic conditions measured at baseline with physical performance and falls over time among older adults with back pain. We examined both number and type (depression, anxiety, arthritis) of chronic conditions.DesignRetrospective cohort study.SettingNational Health and Aging Trends Study.ParticipantsA total of 2438 community-dwelling Medicare beneficiaries aged ≥65 years with bothersome back pain (N=2438). The sample was mostly female (62%; 95% confidence interval [CI], 59%-64%) and aged 65-74 years (56%; 95% CI, 53%-58%).InterventionsNot applicable.Main outcome measuresShort Physical Performance Battery (SPPB) (range, 0-12, lower indicates worse function) and recurrent falls measured annually over 6 years.ResultsMultiple chronic conditions were highly prevalent (82%; 95% CI, 79%-84%) among those reporting back pain. Adjusted regressions using survey weights with Taylor series linearization method and containing interaction terms for comorbidity and time showed having 2-3 chronic conditions vs 0-1 was associated with lower SPPB scores, and differences grew over time (for example 0.61 points lower [95% CI, -0.88 to -0.34] and 1.22 points lower [95% CI, -1.76 to -0.67] in rounds 3 and 6, respectively). Having ≥4 chronic conditions was associated with lower SPPB scores at all time points vs 0-1 (point estimate range, -1.72 to -2.31). Arthritis alone; the combination of arthritis with depression; and the triad of arthritis, depression, and anxiety were associated with lower SPPB scores at all time points. Logistic regression models showed presence of 2-3 and ≥4 chronic conditions was associated with increased odds of recurrent falls in any given year (odds ratio, 1.91; 95% CI, 1.35-2.69 and odds ratio, 3.92; 95% CI, 2.81-5.46, respectively). Those with the triad of arthritis, depression, and anxiety had greater odds of recurrent falls vs none or 1 condition.ConclusionsAmong older adults with back pain, those with multiple chronic conditions, including co-occurrence of arthritis, depression, and anxiety, have greater risk for poor physical functioning and falls over time.

Project description:BACKGROUND:Identifying older adults with reduced physical performance at the time of hospital admission can significantly affect patient management and trajectory. For example, such patients could receive targeted hospital interventions such as routine mobilisation. Furthermore, at the time of discharge, health systems could offer these patients additional therapy to maintain or improve health and prevent institutionalisation or readmission. The principle aim of this study was to identify predictors for persisting, reduced physical performance in older adults following acute hospitalisation. METHODS:This was a prospective cohort study that enrolled 117 medical patients, ages 65 or older, who were admitted to a short-stay unit in a Danish emergency department. Patients were included in the study if at the time of admission they performed ≤8 repetitions in the 30-s Chair-Stand Test (30s-CST). The primary outcome measure was the number of 30s-CST repetitions (≤ 8 or >8) performed at the time of follow-up, 34 days after admission. Potential predictors within the first 48 h of admission included: age, gender, ability to climb stairs and walk 400 m, difficulties with activities of daily living before admission, falls, physical activity level, self-rated health, use of a walking aid before admission, number of prescribed medications, 30s-CST, and the De Morton Mobility Index. RESULTS:A total of 78 (67%) patients improved in physical performance in the interval between admission and follow-up assessment, but 76 patients (65%) had persistent reduced physical performance when compared to their baseline (30s-CST ≤ 8). The number of potential predictors was reduced in order to create a simplified prediction model based on 4 variables, namely the use of a walking aid before hospitalisation (score = 1.5), a 30s-CST ≤ 5 (1.8), age > 85 (0.1), and female gender (0.6). A score > 1.8 identified 78% of the older adults who continued to have reduced physical performance following acute hospitalisation. CONCLUSION:At the time of admission, the variables of age, gender, walking aid use, and a 30s-CST score ≤ 5 enabled clinicians to identify 78% of older adults who had persisting reduced physical performance following acute hospitalisation. TRIAL REGISTRATION:ClinicalTrials.gov Identifier: NCT02474277 . (12.10.2014).

Dataset Information

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

Background

Methods

Results

Conclusions

Publications

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

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