In very old and/or frail older people living in long-term care facilities, physical inactivity negatively affects activities of daily living. The main reason to assess older adults' perceived fitness is to establish the relation with their beliefs about their ability to perform physical activity adjusted to daily tasks. The Self-Assessment of Physical Fitness scale was developed to address these needs. The aim of this study was to estimate the test-retest reliability and construct validity of the scale. 76 elderly people (M age = 86.0 yr., SD = 6.3) completed the test. Cronbach's a was .71. One-week test-retest reliability ICC's ranged from .66 (SAPF aerobic endurance and SAPF balance) to .70 (SAPF sum score). Concurrent validity with the Groningen Fitness Test for the Elderly was fair to moderate. Despite the limited number of participants (N = 76), results suggest that the scale may be useful as an assessment of perceived fitness in older adults.
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Intra-ocular straylight can cause decreased visual functioning, and it may cause diminished vision-related quality of life (VRQOL). This cross-sectional population-based study investigates the association between straylight and VRQOL in middle-aged and elderly individuals. Multivariable linear regression analyses were used to assess the association between straylight modeled continuously and cutoff at the recommended fitness-to-drive value, straylight ≥ 1.4 log(s), and VRQOL. The study showed that participants with normal straylight values, straylight ≤ 1.4 log(s), rated their VRQOL slightly better than those with high straylight values (straylight ≥ 1.4 log(s)). Furthermore, multivariable regression analysis revealed a borderline statistical significant association (p = .06) between intra-ocular straylight and self-reported VRQOL in middle-aged and elderly individuals. The association between straylight and self-reported VRQOL was not influenced by the status of the intra-ocular lens (natural vs. artificial intra-ocular lens after cataract extraction) or the number of (instrumental) activities of daily living that were reported as difficult for the elderly individuals.
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We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.
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Introduction: This study evaluates the course of physical fitness and nutritional status during curative therapy for esophageal cancer, after implementation of a prehabilitation program. Additionally, the impact of baseline physical fitness level and severe postoperative complications on the course of individual patients were explored. Materials and methods: This multicenter, observational cohort study included patients with esophageal cancer following curative treatment. Prehabilitation, consisting of supervised exercise training and nutritional counseling was offered as standard care to patients after neoadjuvant therapy, prior to surgery. Primary outcome measures included change of exercise capacity, hand grip strength, self-reported physical functioning, Body Mass Index, and malnutrition risk from diagnosis to 2–6 months postoperatively. Analyses over time were performed using linear mixed models, and linear mixed regression models to investigate the impact of baseline level and severe postoperative complications. Results: Hundred sixty-eight patients were included (mean age 65.9 ± 8.6 years; 78.0 % male). All parameters (except for malnutrition risk) showed a decline during neoadjuvant therapy (p < .05), an improvement during prehabilitation (p < .005) and a decline postoperatively (p < .001), with a high heterogeneity between patients. Change in the outcomes from baseline to postoperatively was not different for patients with or without a severe complication. Better baseline physical fitness and nutritional status were significantly associated with a greater decline postoperatively (p < .001). Conclusion: This study demonstrates a notable decline during neoadjuvant therapy, that fully recovers during prehabilitation, and a subsequent long lasting decline postoperatively. The heterogeneity in the course of physical fitness and nutritional status underlines the importance of individualized monitoring.
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Inaugural lecture, delivered upon public acceptance of the endowed professorship in Professionalisation of Nursing and Care in Elderly Care by Prof. Dr. Robbert J.J. Gobbens at Tilburg University on 29 September 2023.
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Regular physical activity is regarded as an important component of a healthy lifestyle, decreasing the risk of many non-communicable diseases, mental health issues and increasing functioning and quality of life in older adults. Despite these benefits, a substantial segment of the older adult population remains sedentary or insufficiently physically active. In the Netherlands, depending of the definition and measurementmethod used, approximately 40–80% of Dutch adults aged 55 years and older can be considered physically inactive which matches data from other Western countries. For this reason, the GALM was developed. Aim of GALM was stimulating leisure-time physical activity in sedentary and underactive older adults aged 55–65 years. GALM is a community-based approach and distinguishes itself from other community-based strategies by way of the neighborhood-oriented recruitment phase and the versatile recreational sports activity program which is based on behavioral change and evolutionary-biological play theories. Since 1997, over 1.1 million older adults have been approached door-to-door, over 150.000 participated in the fitness test and over 100.000 participated in the GALM program. In this presentation, the theoretical background and short and long-term effects of participation in the GALM project on indicators of health and fitness will be presented.
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Introduction Many health care interventions have been developed that aim to improve or maintain the quality of life for frail elderly. A clear overview of these health care interventions for frail elderly and their effects on quality of life is missing. Purpose To provide a systematic overview of the effect of health care interventions on quality of life of frail elderly. Methods A systematic search was conducted in Embase, Medline (OvidSP), Cochrane Central, Cinahl, PsycInfo and Web of Science, up to and including November 2017. Studies describing health care interventions for frail elderly were included if the effect of the intervention on quality of life was described. The effects of the interventions on quality of life were described in an overview of the included studies. Results In total 4,853 potentially relevant articles were screened for relevance, of which 19 intervention studies met the inclusion criteria. The studies were very heterogeneous in the design: measurement of frailty, health care intervention and outcome measurement differ. Health care interventions described were: multidisciplinary treatment, exercise programs, testosterone gel, nurse home visits and acupuncture. Seven of the nineteen intervention studies, describing different health care interventions, reported a statistically significant effect on subdomains of quality of life, two studies reported a statistically significant effect of the intervention on the overall quality of life score. Ten studies reported no statistically significant difference between the intervention and control groups. Conclusion Reported effects of health care interventions on frail elderly persons’ quality of life are inconsistent, with most of the studies reporting no differences between the intervention and control groups. As the number of frail elderly persons in the population will continue to grow, it will be important to continue the search for effective health care interventions. Alignment of studies in design and outcome measurements is needed.
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Persuasive design in the context of home rehabilitation of the elder-ly has been applied. Developing various prototypes based on persuasive fea-tures and behavioral changes helps to tune to more personalized solutions and serves as a valuable tool for implementing blended care in the practice.
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Due to a lack of transparency in both algorithm and validation methodology, it is diffcult for researchers and clinicians to select the appropriate tracker for their application. The aim of this work is to transparently present an adjustable physical activity classification algorithm that discriminates between dynamic, standing, and sedentary behavior. By means of easily adjustable parameters, the algorithm performance can be optimized for applications using different target populations and locations for tracker wear. Concerning an elderly target population with a tracker worn on the upper leg, the algorithm is optimized and validated under simulated free-living conditions. The fixed activity protocol (FAP) is performed by 20 participants; the simulated free-living protocol (SFP) involves another 20. Data segmentation window size and amount of physical activity threshold are optimized. The sensor orientation threshold does not vary. The validation of the algorithm is performed on 10 participants who perform the FAP and on 10 participants who perform the SFP. Percentage error (PE) and absolute percentage error (APE) are used to assess the algorithm performance. Standing and sedentary behavior are classified within acceptable limits (+/- 10% error) both under fixed and simulated free-living conditions. Dynamic behavior is within acceptable limits under fixed conditions but has some limitations under simulated free-living conditions. We propose that this approach should be adopted by developers of activity trackers to facilitate the activity tracker selection process for researchers and clinicians. Furthermore, we are convinced that the adjustable algorithm potentially could contribute to the fast realization of new applications.
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The objective of this study was to perform a systematic review on training outcomes influencing physical fitness, activity of daily living performance, and quality-of-life in institutionalized older people. We reviewed 27 studies on older people (age, ≥70 yrs) in long-term care facilities and nursing homes. Our ultimate goal was to propose criteria for an evidence-based exercise protocol aimed at improving physical fitness, activity of daily living performance, and quality-of-life of frail institutionalized older people. The interventions, described in the reviewed studies that showed strong or very strong effect sizes were used to form an exercise prescription. The conclusion is that there is firm evidence for training effects on physical fitness, functional performance, activity of daily living performance, and quality-of-life. The training should contain a combination of progressive resistance training, balance training, and functional training. The proposed intensity is moderate to high, assessed on a 0-10 scale for muscle strengthening activities. The training frequency was three times a week, and the total duration was at least 10 wks. PMID:20881587 doi: 10.1097/PHM.0b013e3181f703ef
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