Showing papers by "Kim Delbaere published in 2020"

The effects of cognitive-motor training interventions on executive functions in older people: a systematic review and meta-analysis.

Abstract: Ageing is associated with physical and cognitive decline, affecting independence and quality of life in older people. Recent studies show that in particular executive functions are important for daily-life function and mobility. This systematic review investigated the effectiveness of cognitive-motor training including exergaming on executive function (EF, set-shifting, working memory, inhibitory control) in healthy older people. An electronic database search for randomised controlled trials (RCT), controlled clinical trials (CCT) and parallel group trials was performed using MEDLINE, EMBASE, and PsychINFO following PRISMA guidelines. Inclusion criteria were: (1) community-dwelling participants > 60 years without a medical condition or medical treatment, (2) reporting at least one cognitive-motor intervention while standing or walking, (3) use of dual-task interventions using traditional methods or modern technology to deliver a cognitive-motor task, (4) inclusion of at least one cognitive outcome. The PEDro scale was used for quality assessment. A total of 1557 studies were retrieved, of which 25 studies were included in this review. Eleven studies used a technology-based dual-task intervention, while 14 trials conducted a general cognitive-motor training. The age range of the cohort was 69 to 87 years. The interventions demonstrated positive effects on global cognitive function [mean difference 0.6, 95% CI 0.29–0.90] and inhibitory control [mean difference 0.61, 95% CI 0.28–0.94]. Effects were heterogeneous (I2 range: 60–95) and did not remain after a sensitivity analysis. Processing speed and dual-task costs also improved, but meta-analysis was not possible. Cognitive-motor and technology-based interventions had a positive impact on some cognitive functions. Dual-task interventions led to improvements of domains related global cognitive functions and inhibitory control. Likewise, technology-based exergame interventions improved functions related to processing speed, attentional and inhibitory control. Training interventions with a certain level of exercise load such as progression in difficulty and task specificity were more effective to gain task-related adaptations on cognitive functions.

Mobile phone technologies in the management of ischemic heart disease, heart failure, and hypertension: Systematic review and meta-analysis

Abstract: Background: Cardiovascular disease (CVD) remains the leading cause of death worldwide. Mobile phones have become ubiquitous in most developed societies. Smartphone apps, telemonitoring, and clinician-driven SMS allow for novel opportunities and methods in managing chronic CVD, such as ischemic heart disease, heart failure, and hypertension, and in the conduct and support of cardiac rehabilitation. Objective: A systematic review was conducted using seven electronic databases, identifying all relevant randomized control trials (RCTs) featuring a mobile phone intervention (MPI) used in the management of chronic CVD. Outcomes assessed included mortality, hospitalizations, blood pressure (BP), and BMI. Methods: Electronic data searches were performed using seven databases from January 2000 to June 2019. Relevant articles were reviewed and analyzed. Meta-analysis was performed using standard techniques. The odds ratio (OR) was used as a summary statistic for dichotomous variables. A random effect model was used. Results: A total of 26 RCTs including 6713 patients were identified and are described in this review, and 12 RCTs were included in the meta-analysis. In patients with heart failure, MPIs were associated with a significantly lower rate of hospitalizations (244/792, 30.8% vs 287/803, 35.7%; n=1595; OR 0.77, 95% CI 0.62 to 0.97; P=.03; I2=0%). In patients with hypertension, patients exposed to MPIs had a significantly lower systolic BP (mean difference 4.3 mm Hg; 95% CI −7.8 to −0.78 mm Hg; n=2023; P=.02). Conclusions: The available data suggest that MPIs may have a role as a valuable adjunct in the management of chronic CVD.

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone.

Abstract: Activity recognition can provide useful information about an older individual’s activity level and encourage older people to become more active to live longer in good health. This study aimed to develop an activity recognition algorithm for smartphone accelerometry data of older people. Deep learning algorithms, including convolutional neural network (CNN) and long short-term memory (LSTM), were evaluated in this study. Smartphone accelerometry data of free-living activities, performed by 53 older people (83.8 ± 3.8 years; 38 male) under standardized circumstances, were classified into lying, sitting, standing, transition, walking, walking upstairs, and walking downstairs. A 1D CNN, a multichannel CNN, a CNN-LSTM, and a multichannel CNN-LSTM model were tested. The models were compared on accuracy and computational efficiency. Results show that the multichannel CNN-LSTM model achieved the best classification results, with an 81.1% accuracy and an acceptable model and time complexity. Specifically, the accuracy was 67.0% for lying, 70.7% for sitting, 88.4% for standing, 78.2% for transitions, 88.7% for walking, 65.7% for walking downstairs, and 68.7% for walking upstairs. The findings indicated that the multichannel CNN-LSTM model was feasible for smartphone-based activity recognition in older people.

Older Aboriginal Australians' Health Concerns and Preferences for Healthy Ageing Programs.

Abstract: While there is strong evidence of the need for healthy ageing programs for older Aboriginal Australians, few are available. It is important to understand older Aboriginal Australians’ perspectives on healthy ageing in order to co-design culturally-appropriate programs, including views on technology use in this context. Semi-structured interviews were conducted with 34 Aboriginal Australians aged 50 years and older from regional and urban communities to explore participants’ health concerns, preferences for healthy ageing programs, and receptiveness to technology. Qualitative data were analyzed using a grounded theory approach. This study found that older Aboriginal Australians are concerned about chronic health conditions, social and emotional well-being, and difficulties accessing health services. A range of barriers and enablers to participation in current health programs were identified. From the perspective of older Aboriginal people, a successful healthy ageing program model includes physical and cognitive activities, social interaction, and health education. The program model also provides culturally safe care and transport for access as well as family, community, cultural identity, and empowerment regarding ageing well as central tenets. Technology could also be a viable approach for program delivery. These findings can be applied in the implementation and evaluation of culturally-appropriate, healthy ageing programs with older Aboriginal people.

The effect of eHealth-based falls prevention programmes on balance in people aged 65 years and over living in the community: protocol for a systematic review of randomised controlled trials.

Abstract: Introduction Between 20% and 28% of community-dwelling older people experience a fall each year. Falls can result in significant personal and socioeconomic costs, and are the leading cause of admission to hospital for an older person in Australia. Exercise interventions that target balance are the most effective for preventing falls in community-dwellers; however, greater accessibility of effective programmes is needed. As technology has become more accessible, its use as a tool for supporting and promoting health and well-being of individuals has been explored. Little is known about the effectiveness of eHealth technologies to deliver fall prevention interventions. This protocol describes a systematic review with meta-analysis that aims to evaluate the effect of eHealth fall prevention interventions compared with usual care control on balance in people aged 65 years and older living in the community. Methods and analysis We will perform a systematic search of the following electronic databases: MEDLINE, CINAHL Complete, Embase and PsychINFO and citation search of Scopus, Web of Science, PubMed Central, Cochrane Database Central and PEDro for randomised controlled trials that use an eHealth technology to deliver a fall prevention intervention to community-dwellers aged ≥65 years, that are published in English, and include a balance outcome (primary outcome). The screening and selection of articles for review will be undertaken by two independent reviewers. The PEDro scale and Grading of Recommendations, Assessment, Development and Evaluations will be used to assess study quality. The results will be synthesised descriptively, and if sufficient data are available and the studies are not overly heterogeneous, a meta-analysis will be conducted using the random effects model. Ethics and dissemination As this will be a systematic review, without involvement of human participants, there will be no requirement for ethical approval. The results of this systematic review will be disseminated through peer-reviewed publications, conference presentations and dissemination to policymakers and consumers to maximise health impact. PROSPERO registration number CRD42018115098.

Association between Daily-Life Gait Quality Characteristics and Physiological Fall Risk in Older People.

Abstract: Gait quality characteristics obtained from accelerometry during daily life are predictive of falls in older people but it is unclear how they relate to fall risk. Our aim was to test whether these gait quality characteristics are associated with the severity of fall risk. We collected one week of trunk accelerometry data from 279 older people (aged 65-95 years; 69.5% female). We used linear regression to investigate the association between six daily-life gait quality characteristics and categorized physiological fall risk (QuickScreen). Logarithmic rate of divergence in the vertical (VT) and anteroposterior (AP) direction were significantly associated with the level of fall risk after correction for walking speed (both p < 0.01). Sample entropy in VT and the mediolateral direction and the gait quality composite were not significantly associated with the level of fall risk. We found significant differences between the high fall risk group and the very low- and low-risk groups, the moderate- and very low-risk and the moderate and low-risk groups for logarithmic rate of divergence in VT and AP (all p ≤ 0.01). We conclude that logarithmic rate of divergence in VT and AP are associated with fall risk, making them feasible to assess the physiological fall risk in older people.

mHealth interventions in the management of heart failure, ischaemic heart disease and hypertension: a systematic review and meta-analysis of randomised controlled trials

Abstract: Cardiovascular disease (CVD) remains the leading cause of death in the world. Mobile phones have become ubiquitous in most developed societies. Smartphone applications, telemonitoring and clinician-driven short message service (SMS) allow for novel methods in managing chronic cardiovascular conditions such as ischaemic heart disease, heart failure and hypertension. To evaluate the impact of mobile phone-based interventions (MPIs) on mortality, hospitalisations and blood pressure and body mass index (BMI) in patients diagnosed with either acute coronary syndrome, heart failure or hypertension. A systematic review was conducted using seven electronic databases, identifying all randomised control trials (RCTs) featuring an MPI in the management of these conditions. Meta-analysis was performed by using standard analytical techniques. The odds ratio (OR) was used as a summary statistic. Twenty-six RCTs including 6,713 patients were identified. Of these 26 studies, 13 examined text messaging intereventions, 10 studied telemonitoring interventions and three described smartphone applications with other functions. Twelve studies were included for meta-analysis. In patients with heart failure (n=1683), MPIs were associated with a significantly lower rate of all-cause hospital admissions at six months (31% vs. 36%, OR 0.77, 95% CI 0.62–0.97, p=0.03, I2 = 0). A significant difference was also demonstrated for heart-failure admissions (14.0% vs. 18.5%, OR 0.69, 95% CI 0.48 to 0.98, p=0.04, I2 = 26%). There was no difference in mortality (10.4% vs. 11.6% p=0.45). In patients with hypertension, the difference in systolic BP was 4.3mmHg less in the intervention group (95% CI: −7.8 to −0.78 mmHg, p=0.02). Four studies examined medication compliance as an endpoint in patients with ischaemic heart disease, and all four demonstrated a significant difference favouring the MPI group (see table 1). However, due to variable quantification of compliance, meta-analysis was not possible. There was no significant difference in the change in BMI from four studies after six or more months (mean difference −0.46, 95% CI: −1.44 to 0.52, P=0.36). The available data suggests MPIs may have a role as valuable adjuncts in the management of chronic CVD. Figure 1 Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Health and Medical Research Council (NHMRC)

Use of tricyclic antidepressants and other anticholinergic medicines by older Aboriginal Australians: association with negative health outcomes.

Abstract: Background Aboriginal and Torres Strait Islander Australians have a relatively high prevalence of multimorbidity requiring treatment with medications. This study examines medication use and anticholinergic burden (ACB) among a cohort of older Aboriginal and Torres Strait Island people. Method This cross-sectional study involving five Aboriginal communities (two in metropolitan Sydney and three on the mid-north coast of New South Wales) used a structured interview process to assess cognition, depression, and activities of daily living for a cohort of older adults (aged 60 years and over). Participants also reported on their health status, medical history, and prescription medications during the interview. ACB was calculated, and its association with adverse health outcomes including cognitive impairment, falls, hospitalization, and depressive symptoms were examined. Results Most participants (95%) were taking at least one regular medication with polypharmacy (≥5 medications) observed in 43% of participants; 12.2% had a significant ACB (≥3) with antidepressants being a major contributor. Anticholinergic medication use was associated with cognitive impairment, recent hospitalization (past 12 months), and depressive symptoms. After controlling for age, sex, and comorbidity, only the presence of depressive symptoms remained significantly associated with the use of anticholinergic medication (odds ratio 2.86; 95% confidence interval 1.48-5.51). Conclusions Clinically significant ACB was common in older Aboriginal Australians and was largely attributable to inappropriate use of tricyclic antidepressants. Greater awareness of medication-related risk factors among both health care professionals and Aboriginal communities can play an important role in improving health and quality of life outcomes.