Towards measurement of the Healthy Ageing Phenotype in lifestyle-based intervention studies

Lara, José; Godfrey, Alan; Evans, E. Hywel; Heaven, Ben; Brown, Laura J. E.; Barron, Emma; Rochester, Lynn; Meyer, Thomas D.; Mathers, John C.

doi:10.1016/j.maturitas.2013.07.007

Cited by 128 publications

(140 citation statements)

References 105 publications

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“…To date individualised correction factors have been recommended for improved step length estimation rather than generic or group specific values [18,20]. However, these would be time consuming and difficult to implement in day-to-day clinical practice or in large scale clinical/intervention-based studies where instrumentation of gait is often time constraint [43]. We were unable to calculate estimates for the remaining core gait characteristics, i.e.…”

Section: Mean Characteristics and Effect Of Pathologymentioning

confidence: 97%

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Din

Godfrey

Rochester

2016

IEEE J. Biomed. Health Inform.

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Measurement of gait is becoming important as a tool to identify disease and disease progression, yet to date its application is limited largely to specialist centers. Wearable devices enables gait to be measured in naturalistic environments, however questions remain regarding validity. Previous research suggests that when compared with a laboratory reference, measurement accuracy is acceptable for mean but not variability or asymmetry gait characteristics. Some fundamental reasons for this have been presented, (e.g., synchronization, different sampling frequencies) but to date this has not been systematically examined. The aims of this study were to: 1) quantify a comprehensive range of gait characteristics measured using a single triaxial accelerometer-based monitor; 2) examine outcomes and monitor performance in measuring gait in older adults and those with Parkinson's disease (PD); and 3) carry out a detailed comparison with those derived from an instrumented walkway to account for any discrepancies. Fourteen gait characteristics were quantified in 30 people with incident PD and 30 healthy age-matched controls. Of the 14 gait characteristics compared, agreement between instruments was excellent for four (ICCs 0.913-0.983); moderate for four (ICCs 0.508-0.766); and poor for six characteristics (ICCs 0.637-0.370). Further analysis revealed that differences reflect an increased sensitivity of accelerometry to detect motion, rather than measurement error. This is most likely because accelerometry measures gait as a continuous activity rather than discrete footfall events, per instrumented tools. The increased sensitivity shown for these characteristics will be of particular interest to researchers keen to interpret "real-world" gait data. In conclusion, use of a body-worn monitor is recommended for the measurement of gait but is likely to yield more sensitive data for asymmetry and variability features.

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Section: Mean Characteristics and Effect Of Pathologymentioning

confidence: 97%

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Din

Godfrey

Rochester

2016

IEEE J. Biomed. Health Inform.

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295

312

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“…Cognitive processing speed is a functional marker of ageing (Deary et al, 2010) that is correlated with other domains of cognitive ability (Tucker-Drob and Salthouse, 2011) and is predictive of health, morbidity, and everyday function (Lara et al, 2013). The two NANA cognitive tests are therefore likely to provide meaningful information about current and future functional status.…”

Section: Discussionmentioning

confidence: 99%

“…The validity of the NANA cognitive measures was examined using correlation coefficients with the Symbol Digit Modalities Test (SDMT (Smith, 1982)), an existing measure of cognitive processing speed that is considered a marker of cognitive ageing (Deary et al, 2010) and is predictive of numerous health outcomes (Lara et al, 2013). The NANA physical activity measure was compared with the Community Healthy Activities Model Program for Seniors (CHAMPS (Stewart et al, 2001)), a validated self-report measure of physical activity developed for older adults.…”

Section: Introductionmentioning

confidence: 99%

Validation of the NANA (Novel Assessment of Nutrition and Ageing) touch screen system for use at home by older adults

Astell

Hwang

Brown

et al. 2014

Experimental Gerontology

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Prospective measurement of nutrition, cognition, and physical activity in later life would facilitate early detection of detrimental change and early intervention but is hard to achieve in community settings. Technology can simplify the task and facilitate daily data collection. The Novel Assessment of Nutrition and Ageing (NANA) toolkit was developed to provide a holistic picture of an individual's function including diet, cognition and activity levels. This study aimed to validate the NANA toolkit for data collection in the community. Forty participants aged 65 years and over trialled the NANA toolkit in their homes for three 7-day periods at four-week intervals. Data collected using the NANA toolkit were compared with standard measures of diet (four-day food diary), cognitive ability (processing speed) and physical activity (self-report). Bland-Altman analysis of dietary intake (energy, carbohydrates, protein fat) found a good relationship with the food diary and cognitive processing speed and physical activity (hours) were significantly correlated with their standard counterparts. The NANA toolkit enables daily reporting of data that would otherwise be collected sporadically while reducing demands on participants; older adults can complete the daily reporting at home without a researcher being present; and it enables prospective investigation of several domains at once.

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“…psychosocial wellbeing as well as objective, i.e. biological, measurements (9). Psychological based models emphasise "how" healthy ageing occurs whereas the biological models emphasise the "what" (6).…”

Section: Models Of Healthy Ageingmentioning

confidence: 99%

“…Among the papers identified, the very recent paper by Tampubolon (28) is novel in using the concept of the healthy ageing phenotype (9) and in assessing the trajectories of some of the biomarkers proposed in that model among participants of the English Longitudinal Study of Ageing (ELSA). ELSA is a prospective, nationally-representative sample of people aged ≥ 50 years.…”

Section: Current Evidence On Operationalisation Of Definitions Of Heamentioning

confidence: 99%

Towards a multidimensional healthy ageing phenotype

Mount

Lara

Schols

et al. 2016

Current Opinion in Clinical Nutrition &Amp; Metabolic Care

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Purpose of Review: There is great interest in developing tools to measure healthy ageing and to identify early stages of health impairment which may guide the implementation of interventions to prevent or delay the development of disease, disability and mortality. Here we review the most recent developments directed to operationalise, and test, definitions of healthy ageing. Recent Findings:There is lack of consensus about how to define healthy ageing and, unsurprisingly, diversity in the instruments for its measurement. However, progress is being made in describing and in devising tools to capture the healthy ageing phenotype. Attempts to measure healthy ageing have relied primarily on cross-sectional data collected in older people. More recent studies have assessed the healthy ageing phenotype using markers of multiple functional domains and have used longitudinal data to model the dynamics and trajectories of healthy ageing. Summary:Given the complexity of the ageing process, no single measure is able to predict the ageing trajectory. Current attempts to operationalise the healthy ageing phenotype have relied on markers and data from earlier cohort studies and are limited by the tools used to collect data in those studies. Such data are often unsuitable to detect early subtle declines in function and/ or are inappropriate for use in younger old-adults. Future studies employing more objective and novel markers of healthy ageing are likely to offer opportunities to define and operationalise the healthy ageing phenotype.

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Towards measurement of the Healthy Ageing Phenotype in lifestyle-based intervention studies

Cited by 128 publications

References 105 publications

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Validation of the NANA (Novel Assessment of Nutrition and Ageing) touch screen system for use at home by older adults

Towards a multidimensional healthy ageing phenotype

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