ObjectiveTo estimate the minimal important change (MIC) and the minimal detectable change (MDC) of the Katz-activities of daily living (ADL) index score and the Lawton instrumental activities of daily living (IADL) scale.DesignData from a cluster-randomized clinical trial and a cohort study.SettingGeneral practices in the Netherlands.Participants3184 trial participants and 51 participants of the cohort study with a mean age of 80.1 (SD 6.4) years.MeasurementsAt baseline and after 6 months, the Katz-ADL index score (0-6 points), the Lawton IADL scale (0-7 points), and self-perceived decline in (I)ADL were assessed using a self-reporting questionnaire. MIC was assessed using anchor-based methods: the (relative) mean change score; and using distributional methods: the effect size (ES), the standard error of measurement (SEM), and 0.5 SD. The MDC was estimated using SEM, based on a test-retest study (2-week interval) and on the anchor-based method.ResultsAnchor-based MICs of the Katz-ADL index score were 0.47 points, while distributional MICs ranged from 0.18 to 0.47 points. Similarly, anchor-based MICs of the Lawton IADL scale were between 0.31 and 0.54 points and distributional MICs ranged from 0.31 to 0.77 points. The MDC varies by sample size. For the MIC to exceed the MDC at least 482 patients are needed.ConclusionThe MIC of both the Katz-ADL index and the Lawton IADL scale lie around half a point. The certainty of this conclusion is reduced by the variation across calculational methods.
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Background. Children with developmental coordination disorder (DCD) face evident motor difficulties in daily functioning. Little is known, however, about their difficulties in specific activities of daily living (ADL). Objective. To (a) investigate differences between children with DCD and their typically developing peers, for ADL performance, learning, and participation, and (b) explore the predictive values of these aspects. Design. Cross-sectional study.Methods: Both in a clinical sample of children diagnosed with DCD (n=25, age range 5-8 years; 21 males) and typically developing peers (25 matched controls), parents completed the DCDDaily-Q. Differences in scores between the groups were investigated using T-tests for performance and participation, and Pearson’s Chi-square for learning. Multiple regression analyses were performed to explore the predictive values of performance, learning, and participation. Results. Compared to peers, children with DCD showed poor performance of ADL (p≤.005 for all items), delays in learning of ADL p≤.002 for all items), and less frequent participation in some ADL (p=.001 for mean total scores, p≤.05 for 7 out of 23 items). Children with DCD demonstrated heterogeneous patterns of performance (poor in 10-80% of the items) and learning (delayed in 0-100% of the items). In the DCD group, delays in learning of ADL were a predictor for poor performance of ADL (p=.001), and poor performance of ADL was a predictor for less frequent participation in ADL compared to peers (p=.040). Limitations. A limited number of children with DCD was addressed in this study.Conclusions. This study highlights the impact of DCD on children’s daily lives and the need for tailored intervention.
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Objective: To predict mortality by disability in a sample of 479 Dutch community-dwelling people aged 75 years or older. Methods: A longitudinal study was carried out using a follow-up of seven years. The Groningen Activity Restriction Scale (GARS), a self-reported questionnaire with good psychometric properties, was used for data collection about total disability, disability in activities in daily living (ADL) and disability in instrumental activities in daily living (IADL). The mortality dates were provided by the municipality of Roosendaal (a city in the Netherlands). For analyses of survival, we used Kaplan–Meier analyses and Cox regression analyses to calculate hazard ratios (HR) with 95% confidence intervals (CI). Results: All three disability variables (total, ADL and IADL) predicted mortality, unadjusted and adjusted for age and gender. The unadjusted HRs for total, ADL and IADL disability were 1.054 (95%-CI: [1.039;1.069]), 1.091 (95%-CI: [1.062;1.121]) and 1.106 (95%-CI: [1.077;1.135]) with p-values <0.001, respectively. The AUCs were <0.7, ranging from 0.630 (ADL) to 0.668 (IADL). Multivariate analyses including all 18 disability items revealed that only “Do the shopping” predicted mortality. In addition, multivariate analyses focusing on 11 ADL items and 7 IADL items separately showed that only the ADL item “Get around in the house” and the IADL item “Do the shopping” significantly predicted mortality. Conclusion: Disability predicted mortality in a seven years follow-up among Dutch community-dwelling older people. It is important that healthcare professionals are aware of disability at early stages, so they can intervene swiftly, efficiently and effectively, to maintain or enhance the quality of life of older people.
MULTIFILE
Background: Dependency in activities of daily living (ADL) might be caused by multidimensional frailty. Prevention is important as ADL dependency might threaten the ability to age in place. Therefore, this study aimed to assess whether protective factors, derived from a systematic literature review, moderate the relationship between multidimensional frailty and ADL dependency, and whether this differs across age groups. Methods: A longitudinal study with a follow–up after 24 months was conducted among 1027 communitydwelling people aged ≥65 years. Multidimensional frailty was measured with the Tilburg Frailty Indicator, and ADL dependency with the ADL subscale from the Groningen Activity Restriction Scale. Other measures included socio-demographic characteristics and seven protective factors against ADL dependency, such as physical activity and non-smoking. Logistic regression analyses with interaction terms were conducted. Results: Frail older people had a twofold risk of developing ADL dependency after 24 months in comparison to non-frail older people (OR=2.12, 95% CI=1.45–3.00). The selected protective factors against ADL dependency did not significantly moderate this relationship. Nonetheless, higher levels of physical activity decreased the risk of becoming ADL dependent (OR=0.67, 95% CI=0.46–0.98), as well as having sufficient financial resources (OR=0.49, 95% CI=0.35–0.71). Conclusion: Multidimensional frail older people have a higher risk of developing ADL dependency. The studied protective factors against ADL dependency did not significantly moderate this relationship.
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Purpose: The purpose of this study was to validate optimized algorithm parameter settings for step count and physical behavior for a pocket worn activity tracker in older adults during ADL. Secondly, for a more relevant interpretation of the results, the performance of the optimized algorithm was compared to three reference applications Methods: In a cross-sectional validation study, 20 older adults performed an activity protocol based on ADL with MOXMissActivity versus MOXAnnegarn, activPAL, and Fitbit. The protocol was video recorded and analyzed for step count and dynamic, standing, and sedentary time. Validity was assessed by percentage error (PE), absolute percentage error (APE), Bland-Altman plots and correlation coefficients. Results: For step count, the optimized algorithm had a mean APE of 9.3% and a correlation coefficient of 0.88. The mean APE values of dynamic, standing, and sedentary time were 15.9%, 19.9%, and 9.6%, respectively. The correlation coefficients were 0.55, 0.91, and 0.92, respectively. Three reference applications showed higher errors and lower correlations for all outcome variables. Conclusion: This study showed that the optimized algorithm parameter settings can more validly estimate step count and physical behavior in older adults wearing an activity tracker in the trouser pocket during ADL compared to reference applications.
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Background: Due to differences in the definition of frailty, many different screening instruments have been developed. However, the predictive validity of these instruments among community-dwelling older people remains uncertain. Objective: To investigate whether combined (i.e. sequential or parallel) use of available frailty instruments improves the predictive power of dependency in (instrumental) activities of daily living ((I)ADL), mortality and hospitalization. Design, setting and participants: A prospective cohort study with two-year followup was conducted among pre-frail and frail community-dwelling older people in the Netherlands. Measurements: Four combinations of two highly specific frailty instruments (Frailty Phenotype, Frailty Index) and two highly sensitive instruments (Tilburg Frailty Indicator, Groningen Frailty Indicator) were investigated. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for all single instruments as well as for the four combinations, sequential and parallel. Results: 2,420 individuals participated (mean age 76.3 ± 6.6 years, 60.5% female) in our study. Sequential use increased the levels of specificity, as expected, whereas the PPV hardly increased. Parallel use increased the levels of sensitivity, although the NPV hardly increased. Conclusions: Applying two frailty instruments sequential or parallel might not be a solution for achieving better predictions of frailty in community-dwelling older people. Our results show that the combination of different screening instruments does not improve predictive validity. However, as this is one of the first studies to investigate the combined use of screening instruments, we recommend further exploration of other combinations of instruments among other study populations.
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OBJECTIVES: To study sensor monitoring (use of a sensor network placed in the home environment to observe individuals' daily functioning (activities of daily living and instrumental activities of daily living)) as a method to measure and support daily functioning for older people living independently at home.DESIGN: Systematic review.SETTING: Participants' homes.PARTICIPANTS: Community-dwelling individuals aged 65 and older.MEASUREMENTS: A systematic search in PubMed, Embase, PsycINFO, INSPEC, and The Cochrane Library was performed for articles published between 2000 and October 2012. All study designs, studies that described the use of wireless sensor monitoring to measure or support daily functioning for independently living older people, studies that included community-dwelling individuals aged 65 and older, and studies that focused on daily functioning as a primary outcome measure were included.RESULTS: Seventeen articles met the inclusion criteria. Nine studies used sensor monitoring solely as a method for measuring daily functioning and detecting changes in daily functioning. These studies focused on the technical investigation of the sensor monitoring method used. The other studies investigated clinical applications in daily practice. The sensor data could enable healthcare professionals to detect alert conditions and periods of decline and could enable earlier intervention, although limited evidence of the effect of interventions was found in these studies because of a lack of high methodological quality.CONCLUSION: Studies on the effectiveness of sensor monitoring to support people in daily functioning remain scarce. A road map for further development is proposed.
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Background The ability to perform activities of daily living (ADL) as a component of participation is one of the factors that contribute to the quality of life. The ability to perform ADL for persons experiencing severe/profound intellectual disability (ID) may be reduced due to their cognitive and physical capacities. However, until recently, the impact of the significantly prevalent visual impairments on the performance of activities of daily living has not yet been revealed within this group. Aim The purpose of this study was to investigate the impact of visual impairment on the performance of Activities of Daily Living for persons with a severe/profound intellectual disability. Method The Barthel Index (BI) and Comfortable Walking Speed (CWS) were employed in order to measure in 240 persons with severe/profound ID and having Gross Motor Functioning Classification System (GMFCS) levels I, II or III the ability of performing activities of daily living (ADL); this included 120 persons with visual impairment. Effects were analysed with linear regression analyses. Results The results of the study demonstrated that visual impairment has a minimal, but significant, effect on the ability of performing Activities of Daily Living (BI) for persons with a severe/profound intellectual disability. Forty four percent of the total BI score can be predicted by the GMFCS level and the level of ID; 45% with the additional presence of visual impairment. GMFCS levels II or III, a profound ID level, and visual impairment yielded lower BI scores compared to GMFCS Level I, severe ID, and no visual impairment. CWS scores did not significantly vary if visual impairment was present. Conclusions Visual impairment does slightly affect the ability to perform ADL in persons experiencing severe/profound ID.
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Background: To investigate trends over age by comorbidity status for the risk of limitations in individual activities of daily living for community-living older persons.Methods: A longitudinal population-based study was conducted in 9,319 community-living Dutch persons aged 60 years and older. Self-reported multiple chronic conditions (MCC) and nine instrumental activities of daily livings (IADLs) were assessed in 15 studies of the Dutch National Care for the Elderly Program (TOPICS-MDS). Risks of limitations in IADLs, odds ratios (per 5 years), and rate ratios (per 5 years) were calculated with mixed logistic and negative binomial regression models with age as the underlying timescale, stratified by number of MCC (no, 1–2, ≥ 3 MCC), and corrected for confounders.Results: At inclusion, the number of IADL limitations was highest for the “≥3 MCC” group (2.00 interquartile range [1.00–4.00]) and equal for “no MCC” or “1–2 MCC” (1.00 interquartile range [0.00–2.00]). Trends of individual IADLs depicted a higher risk in IADL limitation with increasing age over 2 years of follow-up, except for handling finances for the “no MCC” group. The longitudinal age effect on IADL limitations varied subject to MCC, being strongest for the “no MCC” group for most IADLs; grooming and telephone use were almost unaltered by age and MCC.Conclusion: We observed a decline in IADL functioning with increasing age over 2 years of follow-up in persons with and without MCC. The impact of MCC on IADL decline varied per IADL activity.
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The objective of this study was to perform a systematic review on training outcomes influencing physical fitness, activity of daily living performance, and quality-of-life in institutionalized older people. We reviewed 27 studies on older people (age, ≥70 yrs) in long-term care facilities and nursing homes. Our ultimate goal was to propose criteria for an evidence-based exercise protocol aimed at improving physical fitness, activity of daily living performance, and quality-of-life of frail institutionalized older people. The interventions, described in the reviewed studies that showed strong or very strong effect sizes were used to form an exercise prescription. The conclusion is that there is firm evidence for training effects on physical fitness, functional performance, activity of daily living performance, and quality-of-life. The training should contain a combination of progressive resistance training, balance training, and functional training. The proposed intensity is moderate to high, assessed on a 0-10 scale for muscle strengthening activities. The training frequency was three times a week, and the total duration was at least 10 wks. PMID:20881587 doi: 10.1097/PHM.0b013e3181f703ef
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