Community ageing research 75+ study (CARE75+): an experimental ageing and frailty research cohort

Heaven, Anne; Brown, Lesley; Young, John; Teale, Elizabeth; Hawkins, Rebecca; Spilsbury, Karen; Mountain, Gail; Young, Tracey; Goodwin, Victoria A; Hanratty, Barbara; Chew‐Graham, Carolyn; Brundle, Caroline; Mahmood, Farhat; Jacob, Ikhlaq; Daffu-O’Reilly, Amrit; Clegg, Andrew

doi:10.1136/bmjopen-2018-026744

Cited by 19 publications

(25 citation statements)

References 28 publications

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“…Sample size was based on published guidelines recommending between 12 and 30 participants per group to estimate parameters for powering future trials [ 25 ]. The older participants included participants from a longitudinal research cohort [The Community Ageing Research 75 + (CARE-75 +) Study] (Trial registration number ISRCTN16588124) [ 26 ]. The English Longitudinal Study of Ageing (ELSA) frailty index (FI) scores (0–10 = very fit, 11–14 = well, 15–24 = vulnerable, 25 + frail [ 27 ]) were obtained for the older participants to investigate correlation between MRI and muscle function with FI.…”

Section: Methodsmentioning

confidence: 99%

The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength

et al. 2020

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Background Skeletal muscles undergo changes with ageing which can cause sarcopenia that can result in frailty. Quantitative MRI may detect the muscle-deficit component of frailty which could help improve the understanding of ageing muscles. Aims To investigate whether quantitative MRI measures of T2, fat fraction (FF), diffusion tensor imaging and muscle volume can detect differences within the muscles between three age groups, and to assess how these measures compare with frailty index, gait speed and muscle power. Methods 18 'young' (18-30 years), 18 'middle-aged' (31-68 years) and 18 'older' (> 69 years) healthy participants were recruited. Participants had an MRI of their dominant thigh. Knee extension and flexion power and handgrip strength were measured. Frailty (English Longitudinal Study of Ageing frailty index) and gait speed were measured in the older participants. Results Young participants had a lower muscle MRI T2, FF and mean diffusivity than middle-aged and older participants; middle-aged participants had lower values than older participants. Young participants had greater muscle flexion and extension power, muscle volume and stronger hand grip than middle-aged and older participants; middle-aged participants had greater values than the older participants. Quantitative MRI measurements correlated with frailty index, gait speed, grip strength and muscle power. Discussion Quantitative MRI and strength measurements can detect muscle differences due to ageing. Older participants had raised T2, FF and mean diffusivity and lower muscle volume, grip strength and muscle power. Conclusions Quantitative MRI measurements correlate with frailty and muscle function and could be used for identifying differences across age groups within muscle.

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Section: Methodsmentioning

confidence: 99%

The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength

et al. 2020

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“…where an individual proactively declines to be contacted by a researcher by returning a negative expression of interest, to maximise potential for participant recruitment. This will allow researchers' access to patient contact details after the optout period has ended and is aligned with previous research in this area [15,16].…”

Section: Participant Recruitment/randomisationmentioning

confidence: 75%

Study protocol for a cluster randomised controlled feasibility trial evaluating personalised care planning for older people with frailty: PROSPER V2 27/11/18

Heaven

Bower

Cundill

et al. 2020

Pilot Feasibility Stud

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Background: Frailty is characterised by increased vulnerability to falls, disability, hospitalisation and care home admission. However, it is relatively reversible in the early stages. Older people living with frailty often have multiple health and social issues which are difficult to address but could benefit from proactive, person-centred care. Personalised care planning aims to improve outcomes through better self-management, care coordination and access to community resources. Methods: This feasibility cluster randomised controlled trial aims to recruit 400 participants from 11 general practice clusters across Bradford and Leeds in the north of England. Eligible patients will be aged over 65 with an electronic frailty index score of 0.21 (identified via their electronic health record), living in their own homes, without severe cognitive impairment and not in receipt of end of life care. After screening for eligible patients, a restricted 1:1 cluster-level randomisation will be used to allocate practices to the PROSPER intervention, which will be delivered over 12 weeks by a personal independence coordinator worker, or usual care. Following initial consent, participants will complete a baseline questionnaire in their own home including measures of health-related quality of life, activities of daily living, depression and health and social care resource use. Follow-up will be at six and 12 months. Feasibility outcomes relate to progression criteria based around recruitment, intervention delivery, retention and follow-up. An embedded process evaluation will contribute to iterative intervention optimisation and logic model development by examining staff training, intervention implementation and contextual factors influencing delivery and uptake of the intervention.

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“…CARE75+ is a longitudinal cohort study of community-dwelling people aged 75 and over in the UK [14].…”

Section: Participantsmentioning

confidence: 99%

A cross-sectional study assessing agreement between self-reported and general practice-recorded health conditions among community dwelling older adults

et al. 2019

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Background self-reported data regarding health conditions are utilised in both clinical practice and research, but their agreement with general practice records is variable. The extent of this variability is poorly studied amongst older adults, particularly amongst those with multiple health conditions, cognitive impairment or frailty. This study investigates the agreement between self-reported and general practice-recorded data amongst such patients and the impact of participant factors on this agreement. Methods data on health conditions was collected from participants in the Community Ageing Research 75+ (CARE75+) study (n = 964) by self-report during face-to-face assessment and interrogation of the participants’ general practice electronic health records. Agreement between self-report and practice records was assessed using Kappa statistics and the effect of participant demographics using logistic regression. Results agreement ranged from K = 0.25 to 1.00. The presence of ≥2 health conditions modified agreement for cancer (odds ratio, OR:0.62, 95%confidence interval, CI:0.42–0.94), diabetes (OR:0.55, 95%CI:0.38–0.80), dementia (OR:2.82, 95%CI:1.31–6.13) and visual impairment (OR:3.85, 95%CI:1.71–8.62). Frailty reduced agreement for cerebrovascular disease (OR:0.45, 95%CI:0.23–0.89), heart failure (OR:0.40, 95%CI:0.19–0.84) and rheumatoid arthritis (OR:0.41, 95%CI:0.23–0.75). Cognitive impairment reduced agreement for dementia (OR:0.36, 95%CI:0.21–0.62), diabetes (OR:0.47, 95%CI:0.33–0.67), heart failure (OR:0.53, 95%CI:0.35–0.80), visual impairment (OR:0.42, 95%CI:0.25–0.69) and rheumatoid arthritis (OR:0.53, 95%CI:0.37–0.76). Conclusions significant variability exists for agreement between self-reported and general practice-recorded comorbidities. This is further affected by an individual’s health conditions. This study is the first to assess frailty as a factor modifying agreement and highlights the importance of utilising the general practice records as the gold standard for data collection from older adults.

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Community ageing research 75+ study (CARE75+): an experimental ageing and frailty research cohort

Cited by 19 publications

References 28 publications

The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength

The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength

Study protocol for a cluster randomised controlled feasibility trial evaluating personalised care planning for older people with frailty: PROSPER V2 27/11/18

A cross-sectional study assessing agreement between self-reported and general practice-recorded health conditions among community dwelling older adults

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