DESIGN: This study was a two-arm within-participants trial with 4- and 12-wk follow-ups. Allocation ratio was 1:1, and pretraining and posttraining measurements were included. A total number of 25 healthy older adults were enrolled (mean = 63.32, SD = 4.44). Participants were randomly allocated into two conditions: (a) prospective memory training: participants underwent a multicomponent prospective memory training, and (b) control: participants were not contacted during the training phase. After the training phase was finished, participants crossed over to undergo the condition they did not experience before. The differences between pretraining and posttraining measures of prospective memory, activities of daily living, negative mood (depression), and anxiety were assessed. All changes in the measurements were analyzed using general linear method. This trial is registered at https://www.isrctn.com (#ISRCTN57600070).
RESULTS: Multicomponent prospective memory training program was significantly effective on both subjective and objective prospective memory performances among healthy older adults. Moreover, the training had significant positive effects on activities of daily living (independence) among participants. In addition, negative mood and anxiety levels were reduced after the training was finished.
CONCLUSIONS: This multicomponent prospective memory training improved prospective memory performance and activities of daily living and reduce negative mood (depression) and anxiety levels among healthy older adults.
OBJECTIVE: The objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures.
METHODS: CHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures.
RESULTS: The Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health has shown significant effects of heat exposure on sleep and daily activity, highlighting the urgent need for interventions to mitigate adverse health consequences.
CONCLUSION: Implementing the CHEERS in research infrastructures can advance climate change and health research, as large and longitudinal datasets have been scarce for LMICs. This data can inform health priorities, guide resource allocation to address climate change and health exposures, and protect vulnerable communities in LMICs from these exposures.
MATERIALS AND METHODS: This research is a retrospective review on 201 electronic medical records of TBI patients referred for the multidisciplinary acute rehabilitation. Data on socio-demographic, TBI-related characteristics, rehabilitation details and functional outcomes at admission, discharge and 1-year post-TBI were analysed.
RESULTS: From the study population, males and Malay ethnicity were predominant and the Mean (SD) age was 42 ± 19 years. About two-thirds had severe TBI (63%), with concomitant fractures (70%), and 43% were first referred for rehabilitation during post-traumatic amnesia (PTA) state. 63% of them were directly transferred to the inpatient rehabilitation ward with an average length of stay of 18.8 ± 18.3 days. Only 25% of the patients received the full multidisciplinary team input and interventions during the acute inpatient rehabilitation program. The average hours of therapy received during the acute rehabilitation was 7 hours in a 5 day-week, translating to about 1.5 hours per day. In the first-year post-injury, most patients only received outpatient therapy less than once a month after the rehabilitation discharges. Significant improvements were noted in the Modified Barthel Index, Montreal Cognitive Assessment, 6- Minute Walk Test and Westmead PTA scales from rehabilitation admission to discharge and at 1-year post-TBI (p<0.05).
CONCLUSION: More than two-thirds of the TBI patients were transferred to the rehabilitation ward within the first three weeks of injury. Significant improvement in general function, cognition, physical mobility and endurance were reported at the rehabilitation discharge and 1 year. These improvements highlight the positive gains of acute rehabilitation interventions after TBI.
METHODS: Four electronic databases were searched from inception to December 2022 (MEDLINE via Ovid, EMBASE via Ovid, CINAHL via Healthcare Databases Advanced Search, CENTRAL via Cochrane). Studies were included if they examined at least one clinimetric property of a CONCISE measurement instrument or recognised variation in adults ≥ 18 years with critical illness or recovering from critical illness in any language. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist for systematic reviews of Patient-Reported Outcome Measures was used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses were used in line with COSMIN guidance. The COSMIN checklist was used to evaluate the risk of bias and the quality of clinimetric properties. Overall certainty of the evidence was rated using a modified Grading of Recommendations, Assessment, Development and Evaluation approach. Narrative synthesis was performed and where possible, meta-analysis was conducted.
RESULTS: A total of 4316 studies were screened. Forty-seven were included in the review, reporting data for 12308 participants. The Short Form-36 Questionnaire (Physical Component Score and Physical Functioning), sit-to-stand test, 6-m walk test and Barthel Index had the strongest clinimetric properties and certainty of evidence. The Short Physical Performance Battery, Katz Index and handgrip strength had less favourable results. There was limited data for Lawson Instrumental Activities of Daily Living and the Global Leadership Initiative on Malnutrition criteria. The risk of bias ranged from inadequate to very good. The certainty of the evidence ranged from very low to high.
CONCLUSIONS: Variable evidence exists to support the clinimetric properties of the CONCISE measurement instruments. We suggest using this review alongside CONCISE to guide outcome selection for future trials of nutrition and metabolic interventions in critical illness.
TRIAL REGISTRATION: PROSPERO (CRD42023438187). Registered 21/06/2023.
Methods: Fifty-seven participants were assessed for their demographics and functional ability relating to the requirement for walking devices, including the Timed Up and Go Test (TUGT) and lower limb loading during sit-to-stand (LLL-STS).
Results: Thirty-five participants (61%) used a walking device, particularly a standard walker, for daily walking. More than half of them (n = 23, 66%) had potential of walking progression (i.e., safely walk with a less-support device than the usual one). The ability of walking progression was significantly associated with a mild severity of injury, increased lower-limb muscle strength, decreased time to complete the TUGT, and, in particular, increased LLL-STS.
Conclusion: A large proportion of ambulatory individuals with SCI have the potential for walking progression, which may increase their level of independence and minimise the appearance of disability. Strategies to promote LLL-STS are important for this progression.
AIM: The study aimed to identify the effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes.
METHODS: A quasi-experimental study was conducted with 30 pairs of buddies and older adults for both the experimental group and control group in two randomly selected residential aged care homes. The buddies in the experimental group received the buddy program training module related to activities of daily living (basic and instrumental) while the buddy-older adults pairs in the control group continued to perform their usual daily life activities in residential aged care homes. Baselines were performed before intervention and at eight weeks post-intervention.
RESULTS: Over the eight weeks, for the older adults in the experimental group, there was a significant main effect of time after the intervention on BADL (p = 0.010). There were no significant interaction effects for the experiment group and control group on IADL and social participation. Also, there were no significant interaction effects for all domains in emotional status: depression, anxiety and stress. For buddies, there was a significant interaction effect for depression (p = 0.045) in the control group.
CONCLUSIONS: The buddy program training module can be used as a guideline for older adults with more significant disabilities in residential aged care homes in managing activities of daily living. Future studies could be implemented to explore the intergenerational buddy program among older adults and young children in the community.
METHODS: Using data from a random population sample of noninstitutionalized Chinese, Malay, and Indian older adults 60 years old and older in Singapore (N = 1072), we modeled the dimensional structure of the 8-item IADL Scale using exploratory and confirmatory factor analyses, and assessed its convergent and divergent validity using known group differences and strengths of association.
RESULTS: Factor analyses yielded two strong and reliable factors representing underlying physical and cognitive dimensions of IADL. The validity of the model was supported by the pattern of associations of the IADL with age, gender, education, self-reported health status, hospitalization, physical comorbidities, dementia and depression, and Mini-Mental State Examination (MMSE) scores. Notably, cognitive IADL showed a greater total effect on MMSE cognitive performance score than did physical IADL, with the effect of physical IADL on MMSE score mostly explained by cognitive IADL. Reasonably good cross-cultural validity was demonstrated among Chinese, Malays, and Indians, with strongest validity for Indians.
CONCLUSION: The eight-item IADL Scale has physical and cognitive domains and is cross-culturally applicable. The cognitive IADL domain taps a set of activities directly related to cognitive functioning.
METHODS: A total 98 in-hospital first ever acute stroke patients were recruited, and their Barthel Index scores were measured at the time of discharge, at 1 month and 3 months post-discharge. The Barthel Index was scored through telephone interviews. We employed the random intercept model from linear mixed effect regression to model the change of Barthel Index scores during the three months intervals. The prognostic factors included in the model were acute stroke subtypes, age, sex and time of measurement (at discharge, at 1 month and at 3 month post-discharge).
RESULTS: The crude mean Barthel Index scores showed an increased trend. The crude mean Barthel Index at the time of discharge, at 1-month post-discharge and 3 months post-discharge were 35.1 (SD = 39.4), 64.4 (SD = 39.5) and 68.8 (SD = 38.9) respectively. Over the same period, the adjusted mean Barthel Index scores estimated from the linear mixed effect model increased from 39.6 to 66.9 to 73.2. The adjusted mean Barthel Index scores decreased as the age increased, and haemorrhagic stroke patients had lower adjusted mean Barthel Index scores compared to the ischaemic stroke patients.
CONCLUSION: Overall, the crude and adjusted mean Barthel Index scores increase from the time of discharge up to 3-month post-discharge among acute stroke patients. Time after discharge, age and stroke subtypes are the significant prognostic factors for Barthel Index score changes over the period of 3 months.