OBJECTIVE: The ESPEN and the EASO recently developed consensus criteria for sarcopenic obesity (SO), employing the skeletal muscle mass to weight (SMM/W) ratio. Emerging evidence suggests that adjusting skeletal muscle mass for body mass index (SMM/BMI) could enhance the predictive accuracy for health outcomes. We aimed to validate the ESPEN/EASO criteria and explore the potential benefits of the SMM/BMI adjustment in predicting falls among older adults in Western China.
METHODS: We conducted a multicenter, cross-sectional study and included community-dwelling older adults. The diagnosis of SO was determined using the standard ESPEN/EASO consensus criteria (SOESPEN) and a modified version adjusting SMM/BMI (SOESPEN-M). The associations of SOESPEN, SOESPEN-M, and their components with falls were analyzed.
RESULTS: Among the 1353 participants, the prevalence of SO was 13.2 % (SOESPEN) and 11.4 % (SOESPEN-M), which increased with age and higher BMI levels. Within participants with a normal BMI, 4.2 % and 6.2 % were found to have SOESPEN and SOESPEN-M, respectively. SMM/W and SMM/BMI negatively correlated with fall risk (p=0.042 and p=0.021, respectively). Upon adjusting for confounders, only SOESPEN was significantly associated with falls (odds ratios [OR] 1.61, 95 % confidence interval [CI] 1.08 to 2.40), whereas the association for SOESPEN-M did not achieve significance (OR 1.55, 95 % CI 0.99 to 2.43).
CONCLUSIONS: This research validated the ESPEN/EASO criteria (SOESPEN) and their modified version (SOESPEN-M) among community-dwelling older adults in Western China. The SMM/BMI adjustment appears to offer a lower estimate of SO prevalence, with only SOESPEN showing a significant association with falls.

BACKGROUND: The adoption of mobile health (mHealth) apps among older adults (>65 years) is rapidly increasing. However, use of such apps has not been fully effective in supporting people with dementia and their caregivers in their daily lives. This is mainly attributed to the heterogeneous quality of mHealth apps, highlighting the need for improved app quality in the development of dementia-related mHealth apps.
OBJECTIVE: The aims of this study were (1) to assess the quality and content of mobile apps for dementia management and (2) to investigate the relationship between app quality and download numbers.
METHODS: We reviewed dementia-related mHealth apps available in the Google Play Store and Apple App Store in Taiwan. The identified mobile apps were stratified according to a random sampling approach and evaluated by five independent reviewers with sufficient training and proficiency in the field of mHealth and the related health care sector. App quality was scored according to the user version of the Mobile Application Rating Scale. A correlation analysis was then performed between the app quality score and number of app downloads.
RESULTS: Among the 17 apps that were evaluated, only one was specifically designed to provide dementia-related education. The mean score for the overall app quality was 3.35 (SD 0.56), with the engagement (mean 3.04, SD 0.82) and information (mean 3.14, SD 0.88) sections of the scale receiving the lowest ratings. Our analyses showed clear differences between the top three- and bottom three-rated apps, particularly in the entertainment and interest subsections of the engagement category where the ratings ranged from 1.4 to 5. The top three apps had a common feature in their interface, which included memory, attention, focus, calculation, and speed-training games, whereas the apps that received lower ratings were found to be deficient in providing adequate information. Although there was a correlation between the number of downloads (5000 or more) and app quality (t15=4.087, P<.001), this may not be a significant determinant of the app\'s perceived impact.
CONCLUSIONS: The quality of dementia-related mHealth apps is highly variable. In particular, our results show that the top three quality apps performed well in terms of engagement and information, and they all received more than 5000 downloads. The findings of this study are limited due to the small sample size and possibility of disregarding exceptional occurrences. Publicly available expert ratings of mobile apps could help people with dementia and their caregivers choose a quality mHealth app.

BACKGROUND: Seniors with recurrent hospitalizations who are taking multiple medications including high-risk medications are at particular risk for serious adverse medication events. We will assess whether an expert Clinical Pharmacology and Toxicology (CPT) medication management intervention during hospitalization with follow-up post-discharge and communication with circle of care is feasible and can decrease drug therapy problems amongst this group.
METHODS: The design is a pragmatic pilot randomized trial with 1:1 patient-level concealed randomization with blinded outcome assessment and data analysis. Participants will be adults 65 years and older admitted to internal medicine services for more than 2 days, who have had at least one other hospitalization in the prior year, taking five or more chronic medications including at least one high-risk medication. The CPT intervention identifies medication targets; completes consult, including priorities for improving prescribing negotiated with the patient; starts the care plan; ensures a detailed discharge medication reconciliation and circle-of-care communication; and sees the patient at least twice after hospital discharge via virtual visits to consolidate the care plan in the community. Control group receives usual care. Primary outcomes are feasibility - recruitment, retention, costs, and clinical - number of drug therapy problems improved, with secondary outcomes examining coordination of transitions in care, quality of life, and healthcare utilization and costs. Follow-up is to 3-month posthospital discharge.
CONCLUSIONS: If results support feasibility of ramp-up and promising clinical outcomes, a follow-up definitive trial will be organized using a developing national platform and medication appropriateness network. Since the intervention allows a very scarce medical specialty expertise to be offered via virtual care, there is potential to improve the safety, outcomes, and cost of care widely.
BACKGROUND: ClinicalTrials.gov identifier: NCT04077281.

BACKGROUND: Health professionals in home care work in interprofessional teams. Yet most training in decision support assumes a one-on-one relationship with patients. We assessed the impact of an in-person training session in interprofessional shared decision-making (IP-SDM) on home care professionals\' intention to adopt this approach.
METHODS: We conducted a secondary analysis of a cluster stepped-wedge trial using a before-and-after study design. We collected data among home care professionals from November 2016 to February 2018 in 9 health and social services centers in Quebec, Canada. The intervention was an in-person IP-SDM training session. Intention to engage in IP-SDM pre- and post-session (dependent variable) was compared using a continuing professional development evaluation scale (CPD-Reaction) informed by the Godin\'s Integrated Behavioral Model for health professionals. We also assessed socio-demographic and psychosocial variables (beliefs about capabilities, beliefs about consequences, social influence and moral norm). We performed bivariate and multivariate analysis to identify factors influencing post-intervention intention. We used the STROBE reporting guidelines for observational studies to report our results.
RESULTS: Of 134 respondents who provided complete pairs of questionnaires (pre- and post-), most were female (90.9%), mean age was 42 (± 9.3) years and 66.9% were social workers. Mean intention scores decreased from 5.84 (± 1.19) to 5.54 (± 1.35) (Mean difference = -0.30 ± 1.16; p = 0.02). Factors associated with higher intention post-intervention were social influence (ß = 0.34, p = 0.01) and belief about capabilities (ß = 0.49, p < 0.01).
CONCLUSIONS: After in-person IP-SDM training, healthcare professionals\' intention to engage in IP-SDM decreased. However, the scope of this decrease is probably not clinically significant. Due to their association with intention, beliefs about capabilities, which translate into having a sense of self-competency in the new clinical behavior, and social influences, which translate into what important others think one should be doing, could be targets for future research aiming to implement IP-SDM in home care settings.

UNASSIGNED: Short-term exposure particulate matter with a diameter of 10 µm or less (PM10) and fine particulate matter (PM2.5) has been associated with heart rate variability (HRV), but exposure to ultrafine particles (UFP) has been less well examined. We investigated the associations between the HRV outcomes and short-term exposure to UFP, PM10 and PM2.5 among school-aged children and seniors.
UNASSIGNED: CorPuScula (Coronary, Pulmonary and Sanguis) is a longitudinal, repeated-measure panel study conducted in 2000-2002 in Munich, Germany including 52 seniors (58-94 years old) with 899 observations and 50 children (6-10 years old) with 925 observations. A 10-min resting electrocardiogram was performed to assess resting HRV outcomes [Standard Deviation of Normal to Normal Intervals (SDNN), Root Mean Square of Successive Differences between Normal Heartbeats (RMSSD), Low Frequency power (LF), High Frequency power (HF), ration between low and high frequency (LF/HF)]. UFP and PM exposures were measured near the care home and school yard for seniors and children, respectively. Mean exposures during the day of examination (9-21 h) as well as 3-h, 12-h, 24-h, one-day, and two-day lags were assessed. Linear mixed-effect models were used to investigate the associations between short-term air pollution and HRV outcomes separately in children and seniors. The models were adjusted for sex, age, weather conditions (temperature, precipitation, and water vapor pressure), BMI, lifestyle and medical information. Two and multipollutant models adjusted for NO2 and O3 were performed.
UNASSIGNED: Among seniors, we observed increases in SDNN, LF, HF and LF/HF ratio after short-term exposure to UFP (hourly and daily lags) in contrast to decreases in SDNN and RMSSD after exposure to PM10. Associations were generally robust to two- and multipollutant adjustment. Among children, we observed increases of the LF/HF ratio after short-term exposures to UFP at lags 12 and 24 h. In contrast, we observed decreases of the ratio after exposure to PM2.5 and PM10. Results were largely unchanged for multipollutant modelling, however we found a more pronounced increase in SDNN and LF/HF (UFP lag 12 and 24 h) after adjusting for NO2.
UNASSIGNED: Overall, among seniors, we observed associations of UFP and PM10 exposure with sympathetic responses of the ANS, which play an important role in sudden heart attacks or arrhythmia. Among children we found more inconsistent associations between UFP and a delayed increase in HRV. Adjusting for co-pollutants including NO2 and O3 yielded robust results.

UNASSIGNED: Older adults with cirrhosis have complex medical needs that are not satisfied by organ specific management. Interdisciplinary approach may mitigate comorbidity and improve patient satisfaction.
UNASSIGNED: A pilot study consisted of dual specialist interdisciplinary referral pathway and mixed virtual care delivery model are prospectively evaluated in older adults (65 years and older) with cirrhosis during the COVID-19 pandemic between September and December 2022. Participant attitudes towards telemedicine were surveyed.
UNASSIGNED: 68 participants with cirrhosis were consecutively assessed by hepatology. The mean age was 73 years. 39 (57%) screened positive for one or more geriatric syndrome(s). Comprehensive geriatric assessments were conducted via telemedicine in 18 participants, with additional referrals to physiotherapy and nutritional education. Compared to a historic cohort matched for age, sex, and Child-Pugh class, acute health service utilization measured by ER visits among those received dual specialist interdisciplinary consultation were lowered by 1.11 per patient at three-month follow up period (p = .0006, 95% CI 0.47-1.74). Majority participants (87.6%) preferred telemedicine or mixed method visits.
UNASSIGNED: An interdisciplinary approach to older adults with cirrhosis will likely be beneficial, and routine screening for geriatric syndrome may lead to reduced acute health-care utilization in the short term. Telemedicine and virtual screening tools in seniors should be fully explored to improve access to care.

BACKGROUND: Promoting individuals\' health across different life spans has always been key to a holistic nursing practice. Seniors are a diverse population who go through many physical and mental changes as they age. During the last decade, assisted living facilities (ALFs) have dramatically increased in numbers to provide care and living services in a home-like environment.
OBJECTIVE: The aim of this descriptive exploratory study was to explore the quality of life as perceived by seniors who reside in assisted living facilities (ALFs).
METHODS: This study utilized a descriptive exploratory design to investigate the quality of life of seniors living in ALFs.
METHODS: Seventeen residents from two ALFs were interviewed to gather their perspectives on the quality of their lives while living in an ALF. The interviews were conducted by the researcher and were audio-recorded and transcribed verbatim. The data were analysed using thematic analysis.
RESULTS: Three major themes surfaced from residents\' descriptions: \'physical environment\', \'social environment\' and \'home-like atmosphere\'. The quality of life in ALFs was found to be predominantly an outcome of the exchange between the personal capability of residents to adapt to changes and the capacity of the facility to meet residents\' diverse needs.
UNASSIGNED: Participants who discussed their quality of life in ALFs provided profound insights into this aspect of their lives. The findings from this study can potentially enlighten ALF stakeholders and enhance the quality of life for seniors residing in these facilities.

Online exercise programming has become increasingly popular in recent years, including for older adults. Instructors hold unique perspectives on such programming that could yield important insights for effective program design and delivery. The purpose of this study was to qualitatively examine instructors\' perceptions and experiences teaching exercise classes online to older adults. Using qualitative description, 19 instructors from a community exercise program for seniors completed a one-on-one semistructured interview. We analyzed data using reflexive thematic analysis and generated three main themes: (a) characteristics of effective online instructors, (b) challenges to delivering online exercise programming to older adults, and (c) future of online exercise programming. Most participants enjoyed delivering online exercise classes and developing the unique skills (particularly related to fostering social experiences and engaging with participants) required to be effective online exercise instructors. Our findings speak to the importance of ensuring instructors are adequately trained to deliver online exercise to seniors.

BACKGROUND: Sleep disorders are prevalent after stroke, resulting in high recurrence rates and mortality. But the biomarkers of sleep disorders in stroke patients remain to be elucidated. This study aimed to explore the relationship between total bilirubin-to-uric acid ratio (TUR) and sleep quality after acute ischemic stroke (AIS).
METHODS: Three hundred twenty-six AIS patients were recruited and followed up 1 month after stroke in our study. Serum total bilirubin and uric acid levels were obtained within 24 h after admission. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality 1 month after stroke. We conducted receiver operating characteristic (ROC) curve analysis and screened the optimal biomarker to differentiate sleep disorders after stroke. Then the TUR was stratified according to the best cut-off value (0.036) of the ROC and further analysed by binary logistic regression analysis. Additionally, the interaction was used to explore the difference in its effect on post-stroke sleep quality in different subgroups.
RESULTS: Three hundred thirty-one patients (40.2%) were considered as having poor sleep quality during the one-month follow-up. Compared to patients with good sleep, patients with poor sleep were more likely to have higher TUR (IQR), 0.05 (0.03-0.06) versus 0.03 (0.02-0.04), P < 0.001. After adjusting for confounding factors, binary regression analysis demonstrated that a high TUR (≥0.036) was independently related to post-stroke poor sleep quality (OR = 3.75, 95% CI = 2.02-6.96, P < 0.001).
CONCLUSIONS: High TUR is associated with an increased risk of poor sleep quality in AIS patients, especially in females, diabetics, and patients with hyperlipidaemia.

UNASSIGNED: Older adults face challenges with managing their medications, obtaining health education, and accessing health services. Mobile health (mHealth), defined as any medical or public health practice facilitated through mobile devices, could help to overcome these difficulties.
UNASSIGNED: To determine what technologies and apps are in current use by older adults, to explore the types of technologies and apps that may be of interest to people in this age group, to explore concerns about technologies, and to examine any age-related differences.
UNASSIGNED: Adults 60 years of age or older were invited to complete a 35-item electronic survey, in either French or English, which was distributed through social media and by email from organizations working with older adults. The survey was conducted in mid-2020.
UNASSIGNED: A total of 266 respondents completed some or all of the survey. Most participants had a mobile phone (229/243, 94.2%), and approximately one-third (78/222, 35.1%) had used a health-related app in the previous 12 months; this level of usage was consistent across age groups. Most respondents were interested in using an app to improve their health (171/225, 76.0%), with variation by age: highest among those 60-64 years of age (82/95, 86.3%), lower among those 80 years or older (40/52, 76.9%), and lowest among those 65-69 years of age (6/14, 42.9%). Most older adults were interested in using an app to ask questions of pharmacists (161/219, 73.5%) and to review their medications (154/218, 70.6%). Participants\' mHealth concerns focused on costs, disclosure of personal information, effectiveness, usability, and endorsement by health care providers. The study limitations included challenges related to electronic recruitment and survey distribution, as well as a high representation of participants with postsecondary education.
UNASSIGNED: These findings suggest that a substantial proportion of older adults are already using and are interested in using mHealth for health information, to ask questions, and/or to review their medications with a health care team member.
UNASSIGNED: Les personnes âgées sont confrontées à des difficultés pour gérer leurs médicaments, s’informer sur la santé et accéder aux services de santé. Les applications de « santé mobile », définies comme toute pratique médicale ou de santé publique facilitée par des appareils mobiles, pourraient aider à surmonter ces difficultés.
UNASSIGNED: Déterminer quelles technologies et applications sont actuellement utilisées par les aînés; examiner celles qui pourraient être intéressantes dans cette tranche d’âge; étudier les préoccupations concernant les technologies et examiner les différences liées à l’âge.
UNASSIGNED: Des adultes d’au moins 60 ans ont été invités à répondre à un sondage électronique comprenant 35 questions en français ou en anglais. Ce sondage, mené à la mi-2020, a été diffusé par des organismes travaillant avec des aînés via les médias sociaux et par courriel.
UNASSIGNED: Au total, 266 participants y ont répondu en partie ou en totalité. La plupart des répondants avaient un téléphone portable (229/243, 94,2 %) et environ un tiers (78/222, 35,1 %) avaient utilisé une application liée à la santé au cours des 12 derniers mois; ce taux d’utilisation était constant tous groupes d’âge confondus. La plupart des répondants souhaitaient utiliser une application pour améliorer leur santé (171/225, 76,0 %), avec des variations du taux d’utilisation selon l’âge : le plus élevé chez les 60 à 64 ans (82/95, 86,3 %), un peu moins chez les 80 ans ou plus (40/52, 76,9 %), et le plus bas chez les 65 à 69 ans (6/14, 42,9 %). La plupart des personnes âgées souhaitent utiliser une application pour poser des questions aux pharmaciens (161/219, 73,5 %) et pour s’informer sur leurs médicaments (154/218, 70,6 %). Les préoccupations des participants en matière de « santé mobile » portaient sur les coûts, la divulgation d’informations personnelles, l’efficacité, la convivialité et l’approbation par les prestataires de soins de santé. On notera, parmi les limites de l’étude, les défis liés au recrutement électronique et à la distribution électronique des sondages, ainsi qu’une forte représentation de participants ayant fait des études postsecondaires.
UNASSIGNED: Ces résultats portent à croire qu’une proportion importante d’adultes âgés utilisent déjà la technologie de « santé mobile » et souhaitent l’utiliser pour obtenir des informations sur la santé, poser des questions et/ou s’informer sur leurs médicaments auprès d’un membre de l’équipe de soins de santé.