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Effects of an educational intervention on frailty status, physical function, physical activity, sleep patterns, and nutritional status of older adults with frailty or pre-frailty: the FRAGSALUD study.
Casals, C, Ávila-Cabeza-de-Vaca, L, González-Mariscal, A, Marín-Galindo, A, Costilla, M, Ponce-Gonzalez, JG, Vázquez-Sánchez, MÁ, Corral-Pérez, J
Frontiers in public health. 2023;11:1267666
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Frailty and pre-frailty are associated with an increased risk of premature mortality. Factors involved in the development of frailty include physical activity, sleep and nutrition. The aim of this 6-month randomised controlled trial was to evaluate the effects of an educational programme on frailty, physical function, physical activity, sleep and nutritional status. 166 community-dwelling individuals aged 65 years or over with frailty or pre-frailty were randomised to either receive a health education programme consisting of 4 group sessions in the first month which included guidelines for physical activity, nutrition and cognitive training as well as the promotion of psychological and social wellbeing and 6 follow-up calls over 6 months or their usual healthcare (control). Compared to the control group, the intervention group had significant reductions in frailty score, exhaustion and fatigue score, increase in gait speed and improvements in various physical function tests. The intervention group also showed significant improvements in mini nutritional assessment compared to the control group although this was not associated with significant changes in anthropometric parameters. There was a significant increase in awakenings in the control group whilst this parameter did not change in the intervention group, whilst there were no changes in other sleep parameters. The authors concluded that the simplicity, affordability and effectiveness of the health education programme may contribute to healthy ageing.
Expert Review
Conflicts of interest:
None
Take Home Message:
To improve frailty and physical functioning, a comprehensive programme may be effective, which includes:
- Nutrition
- Physical exercise
- Cognitive training
- Promotion of social and psychological wellbeing.
Evidence Category:
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X
A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
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B: Systematic reviews including RCTs of limited number
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C: Non-randomized trials, observational studies, narrative reviews
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D: Case-reports, evidence-based clinical findings
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E: Opinion piece, other
Summary Review:
Introduction
- Frailty and pre-frailty increase the risk of premature mortality but are reversible
- The aim of this study was to evaluate the effects of a health education programme on frailty status in frail or pre-frail older persons.
Methods
- Randomised controlled trial
- Participants: 166 community-dwelling individuals aged 65 years or over with frailty or pre-frailty living in Spain were enrolled, 163 completed the study (80 in intervention and 83 in control group)
- Four weekly group sessions which included guidelines for physical activity, nutrition and cognitive training as well as the promotion of psychological and social wellbeing and 6 follow-up calls over 6 months versus usual healthcare (control).
Results
- Baseline demographics: The educational group consisted of more women (p=0.001), had a younger average age (p=0.019), lower height (p=0.001) and a higher average education level (p=0.013) compared to the control group.
Effects on intervention group:
- Reductions in frailty score (p<0.05 vs baseline and change vs change in control group), with 30% of participants in the intervention group no longer being classified as frail or pre-frail in contrast to none in the control group
- Reductions in fatigue and exhaustion score (p<0.05 vs baseline and change vs change in control group)
- Increase in gait speed and improvements in various physical function tests (all p<0.05 vs baseline and change vs change in control group)
- Improvements in mini nutritional assessment (p<0.001 vs baseline and change vs change in control group)
- Improvement in sleep behaviour demonstrated by an increase in awakenings in the control group (p<0.05 vs baseline and change vs change in intervention group) whilst this parameter did not change in the intervention group.
No effects (vs control) on:
- Anthropometric parameters/unintended weight loss
- Other sleep parameters
- Physical activity expenditure and physical activity score
- Hand grip strength.
Conclusion
This affordable and simple health education programme is effective in reducing frailty in elderly and may contribute to healthy ageing.
Clinical practice applications:
- A comprehensive programme, encompassing not only nutrition, but also exercise, cognitive training and a focus on social and psychological wellbeing may be most effective in improving frailty and physical functioning
- Nutrition intervention, alongside other lifestyle interventions, may have benefits for nutritional status in older adults, even if this is not reflected in a change in anthropometric parameters, such as weight.
Considerations for future research:
- Studies with longer-term follow-up would help evaluate whether/for how long the benefits are sustained.
Abstract
INTRODUCTION The prevalence of frailty is increasing worldwide, emphasizing the importance of prioritizing healthy ageing. To address this, cost-effective and minimally supervised interventions are being sought. This study aimed to assess the impact of an educational program on frailty status, physical function, physical activity, sleep patterns, and nutritional status in community-dwelling older adults with at least 1 Fried's frailty criteria. METHODS A 6-month multicentre randomized controlled trial was conducted from March 2022 to February 2023 in 14 health centres located in Cadiz and Malaga, Spain. The educational intervention consisted of 4 group sessions and 6 follow-up phone calls spread over 6 months. The program focused on educating participants about frailty and its impact on health, providing guidelines for physical activity, healthy dietary habits, cognitive training, psychological well-being and social activities. A total of 163 participants, divided into control (n = 80) and educational groups (n = 83) were assessed before and after the intervention. RESULTS The results showed a significant group-time interaction in the physical function evaluated with a large effect on Short Physical Performance Battery score (η2p = 0.179, -0.1 [-1.2-1.0] points for control group vs. 1.0 [0.0-3.0] points for educational group, p < 0.001), and an effect on the 4-meter gait test ((η2p = 0.122, 0.5 [0.1-0.0] s for control group vs. -0.4 [-0.5- -0.3] s for educational group, p < 0.001), and the 5-repetition sit-to-stand test (η2p = 0.136, 1.0 [0.0-1.2] s for control group vs. -4.3 [-7.0- -2.3] for educational group, p < 0.001). Additionally, the use of accelerometers to assess physical activity, inactivity, and sleep patterns revealed a significant small effect in the number of awakenings at night ((η2p = 0.040, 1.1 [-0.5-3.4] awakenings for control group vs. 0.0 [-2.2-0.0] awakenings for educational group, p = 0.009). The findings also highlighted a significant medium effect regarding malnutrition risk, which was assessed using the Mini-Nutritional Assessment score (η2p = 0.088, -0.7 [-2.3-1.5] points for control group vs. 1.5 [-0.5-3.0] points for educational group, p < 0.001). DISCUSSION Thus, the 6-month educational program effectively improved physical function, sleep patterns, and nutritional status compared to usual healthcare attendance in community-dwelling older adults with frailty or pre-frailty. These findings underscore the potential of minimally supervised interventions in promoting a healthy lifestyle in this vulnerable population.
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Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease.
Broers, ER, Gavidia, G, Wetzels, M, Ribas, V, Ayoola, I, Piera-Jimenez, J, Widdershoven, JWMG, Habibović, M
The American journal of cardiology. 2020;125(3):370-375
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Modifiable (behavioural) risk factors such as sedentary lifestyle and low sleep efficiency, are associated with increased mortality risk and disease progression in individuals with cardiovascular disease. The main aim of this study was to evaluate changes in objectively measured lifestyle and health data derived from wearable devices. This study was part of an international, multicenter randomized controlled trial, the Do Cardiac Health Advanced New Generation Ecosystem 2 study. Only the participants (n=70) randomised to the intervention group were analysed. The participants received the devices to monitor their lifestyle and health parameters. Results indicate significant changes over time in the number of steps and activity level. No significant improvement over time was observed in other outcome measures (i.e., blood pressure, weight, and sleep efficiency). Secondary analysis showed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. Authors conclude that a personalised approach might be the way forward in order to improve health outcomes in the future.
Abstract
The importance of modifying lifestyle factors in order to improve prognosis in cardiac patients is well-known. Current study aims to evaluate the effects of a lifestyle intervention on changes in lifestyle- and health data derived from wearable devices. Cardiac patients from Spain (n = 34) and The Netherlands (n = 36) were included in the current analysis. Data were collected for 210 days, using the Fitbit activity tracker, Beddit sleep tracker, Moves app (GPS tracker), and the Careportal home monitoring system. Locally Weighted Error Sum of Squares regression assessed trajectories of outcome variables. Linear Mixed Effects regression analysis was used to find relevant predictors of improvement deterioration of outcome measures. Analysis showed that Number of Steps and Activity Level significantly changed over time (F = 58.21, p < 0.001; F = 6.33, p = 0.01). No significant changes were observed on blood pressure, weight, and sleep efficiency. Secondary analysis revealed that being male was associated with higher activity levels (F = 12.53, p < 0.001) and higher number of steps (F = 8.44, p < 0.01). Secondary analysis revealed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. In conclusion results showed that physical activity increased over time and that certain subgroups of patients were more likely to have a better lifestyle behaviors based on their demographic, clinical, and psychological profile. This advocates a personalized approach in future studies in order to change lifestyle in cardiac patients.
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Emotional Eating, Health Behaviours, and Obesity in Children: A 12-Country Cross-Sectional Study.
Jalo, E, Konttinen, H, Vepsäläinen, H, Chaput, JP, Hu, G, Maher, C, Maia, J, Sarmiento, OL, Standage, M, Tudor-Locke, C, et al
Nutrients. 2019;11(2)
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Childhood obesity rates are high in both developed and developing countries. The most important contributors are the increased availability of energy-dense foods and a reduced need for physical activity. The aim of the study was to examine the association between self-reported emotional eating, health behaviours and body mass index in 9 to 11-year-old children. The study is a secondary analysis of the International Study of Childhood Obesity, Lifestyle and Environment. The cross-sectional sample included 5,426 children with an age range between 9 to 11-year-olds. Results indicate a positive association between emotional eating and an unhealthy diet pattern, which was consistent in all 12 different study sites. Authors conclude that the association between emotional eating and an unhealthy eating pattern is not restricted to Western countries and their cultural and food environments.
Abstract
Eating in response to negative emotions (emotional eating, EE) may predispose an individual to obesity. Yet, it is not well known how EE in children is associated with body mass index (BMI) and health behaviours (i.e., diet, physical activity, sleep, and TV-viewing). In the present study, we examined these associations in a cross-sectional sample of 5426 (54% girls) 9⁻11-year-old children from 12 countries and five continents. EE, food consumption, and TV-viewing were measured using self-administered questionnaires, and physical activity and nocturnal sleep duration were measured with accelerometers. BMI was calculated using measured weights and heights. EE factor scores were computed using confirmatory factor analysis, and dietary patterns were identified using principal components analysis. The associations of EE with health behaviours and BMI z-scores were analyzed using multilevel models including age, gender, and household income as covariates. EE was positively and consistently (across 12 study sites) associated with an unhealthy dietary pattern (β = 0.29, SE = 0.02, p < 0.0001), suggesting that the association is not restricted to Western countries. Positive associations between EE and physical activity and TV viewing were not consistent across sites. Results tended to be similar in boys and girls. EE was unrelated to BMI in this sample, but prospective studies are needed to determine whether higher EE in children predicts the development of undesirable dietary patterns and obesity over time.