The REgulate your SItting Time (RESIT) is a tailored intervention targeting reductions and breaks in sitting in adults with type 2 diabetes mellitus (T2DM). A feasibility trial of RESIT had been conducted and the purpose of this paper is to report findings from the process evaluation.

A mixed-methods process evaluation within a randomised controlled feasibility trial.

The study was conducted remotely in the community.

Ambulatory individuals with T2DM aged 18–85 years.

A tailored intervention comprising an online education session, regular health coaching and technology for self-monitoring behaviour and prompting breaks in sitting.

Questionnaires (intervention participants n=22 at both 3 and 6 months; control participants n=21 at 3 months, n=29 at 6 months) and interviews (n=30, with n=13 intervention participants, n=12 control participants, n=5 health coaches) to assess perceptions of the intervention components, strategies and barriers for sitting less, the role of the study evaluation measures, and reasons for taking part.

The trial operated a largely successful online education element for those in the intervention group (82% completion; ≥76% engagement in individual educational elements). There was good use of self-monitoring and prompt technology (apps and wearables) with 73% of participants reporting using these at 6 months. Health coaching had high engagement and was perceived as enjoyable and useful. Data revealed strategies used for behaviour change (eg, active functional tasks) alongside barriers to change (eg, restrictions at work). There were also potential behavioural influences from the study evaluation measures (eg, activity measures increasing awareness and execution of behaviours) for both intervention and control participants.

A comprehensive process evaluation identified successful intervention elements (ie, online education, health coaching, wearables and smartphone apps) alongside strategies and barriers to behaviour change. These findings can inform future sedentary behaviour interventions for adults with T2DM and a definitive randomised controlled trial evaluating RESIT.

ISRCTN14832389.

Poor sleep is common among patients with heart failure (HF) and is associated with adverse cardiovascular outcomes. The utility of actigraphy in sleep assessment, especially among older adults, remains underexplored. This study aimed to assess sleep health among older adults with HF using actigraphy and explore associations between sleep parameters and cardiac biomarkers, functional performance and quality of life (QoL).

A cross-sectional study.

The study was conducted at an outpatient HF clinic within a tertiary cardiology service in a National Health Service hospital in the UK between March and October 2023.

A total of 150 older adults aged ≥65 years with a diagnosis of HF were enrolled.

Participants were given a wrist-accelerometer to wear for 7 days. On Day 0, patients completed a 4-metre walk test (4MWT), handgrip strength test (HGST), Timed Up and Go test (TUGT), Barthel Index (BI), Kansas City Cardiomyopathy Questionnaire (KCCQ-12) and frailty assessment (Clinical Frailty Scale, CFS). Subsequently, they were fitted with an accelerometer, with the device configured to start recording the following day (Day 1). Sleep outcomes were calculated after a 7-day wear period and averaged across valid nights (minimum 3 nights of recording, noon-to-noon with ≥16 hours wear-time). Sleep parameters studied include average sleep efficiency, sleep period time window, sleep duration, sleep onset and wake up time, wake after sleep onset (WASO), sleep interruptions and Sleep Regularity Index (SRI). Inefficient sleep was defined as sleep efficiency

The primary outcome measure was sleep efficiency; all other sleep parameters were classified as secondary or exploratory outcomes.

Accelerometry data from 145 participants were analysed; 42% had inefficient sleep based on average sleep efficiency across valid nights. These patients had significantly higher plasma N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels (p=0.044). No statistically significant difference was noted in 4MWT, HGST, TUGT, BI, KCCQ-12 and CFS between patients with sleep efficiency

Older adults with HF who had inefficient sleep had significantly higher NT-proBNP levels. Lower sleep efficiency was associated with higher functional dependence and frailty. Sleep irregularity was linked to HF symptom load, frailty, functional performance and QoL, while sleep fragmentation was associated with impaired gait speed.