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Background: Time commitments, limited access, or unwillingness to join a group are some of the many reasons for low adherence to structured exercise in older adults. A promising alternative approach is integrating exercise into daily routines.Objective: This study tested whether an adapted Lifestyle-integrated Functional Exercise (aLiFE) programme is suitable for adults aged 60-70 years.Methods: The aLiFE approach was evaluated by interviews and focus-groups with participants and trainers following 4-week pre-post intervention pilot study. For data analyses, Framework Approach was used. Coding was managed using NVivo, and subsequently organised into overarching themes.Results: Twenty women and 11 men (mean age 66.4 ± 2.7 years) and 6 trainers (30.0 ± 6.2 years; 5 women) participated. Both participants and trainers were positive about the programme. Participants understood the concept of integrating balance, strength and physical activities into daily lives and valued the individual tailoring in the programme, the preventive approach, and the support of trainers. Trainers valued the flexible approach and peer support between trainers. However, both participants and trainers disliked the extensive study paperwork and reported some challenges to integrate activities into daily routines during the compressed intervention: busy and varied lifestyles, embarrassment performing activities in public, pain, difficulty of specific activities. Participants noted habitualisation of some activities within the short intervention period, even without continuous self-monitoring.Conclusions: aLiFE is a highly acceptable intervention amongst adults aged 60-70 years. Trainers are especially relevant as motivators and support providers. The effectiveness of the aLiFE approach should be tested in a randomised controlled trial. [ABSTRACT FROM AUTHOR]

Background: Early identification of people at risk of functional decline is essential for delivering targeted preventive interventions.Objective: The aim of this study is to identify and predict trajectories of functional decline over 9 years in males and females aged 60-70 years.Methods: We included 403 community-dwelling participants from the InCHIANTI study and 395 from the LASA study aged 60-70 years at baseline, of whom the majority reported no functional decline at baseline (median 0, interquartile range 0-1). Participants were included if they reported data on ≥2 measurements of functional ability during a 9-year follow-up. Functional ability was scored with 6 self-reported items on activities of daily living. We performed latent class growth analysis to identify trajectories of functional decline and applied multinomial regression models to develop prediction models of identified trajectories. Analyses were stratified for sex.Results: Three distinct trajectories were identified: no/little decline (219 males, 241 females), intermediate decline (114 males, 158 females), and severe decline (36 males, 30 females). Higher gait speed showed decreased risk of functional limitations in males (intermediate limitations, odds ratio [OR] 0.74, 95% CI 0.57-0.97; severe limitations, OR 0.42, 95% CI 0.26-0.66). The final model in males further included the predictors fear of falling and alcohol intake (no/little decline, area under the receiver operating curve [AUC] 0.68, 95% CI 0.62-0.73; intermediate decline, AUC 0.63, 95% CI 0.56-0.69; severe decline, AUC 0.79, 95% CI 0.71-0.87). In females, higher gait speed showed a decreased risk of intermediate limitations (OR 0.51, 95% CI 0.38-0.68) and severe limitations (OR 0.18, 95% CI 0.07-0.44). Other predictors in females were age, living alone, economic satisfaction, balance, physical activity, BMI, and cardiovascular disease (no/little decline, AUC 0.80, 95% CI 0.75-0.85; intermediate decline, AUC 0.74, 95% CI 0.69-0.79; severe decline, AUC 0.95, 95% CI 0.91-0.99).Conclusion: Already in people aged 60-70 years, 3 distinct trajectories of functional decline were identified in these cohorts over a 9-year follow-up. Predictors of trajectories differed between males and females, except for gait speed. Identification of people at risk is the basis for targeting interventions. [ABSTRACT FROM AUTHOR]