Impact of Plant-Based Dietary Fibers on Metabolic Homeostasis in High-Fat Diet Mice via Alterations in the Gut Microbiota and Metabolites.

BACKGROUND: The gut microbiota contributes to metabolic disease, and diet shapes the gut microbiota, emphasizing the need to better understand how diet impacts metabolic disease via gut microbiota alterations. Fiber intake is linked with improvements in metabolic homeostasis in rodents and humans, which is associated with changes in the gut microbiota. However, dietary fiber is extremely heterogeneous, and it is imperative to comprehensively analyze the impact of various plant-based fibers on metabolic homeostasis in an identical setting and compare the impact of alterations in the gut microbiota and bacterially derived metabolites from different fiber sources. OBJECTIVES: The objective of this study was to analyze the impact of different plant-based fibers (pectin, ß-glucan, wheat dextrin, resistant starch, and cellulose as a control) on metabolic homeostasis through alterations in the gut microbiota and its metabolites in high-fat diet (HFD)-fed mice. METHODS: HFD-fed mice were supplemented with 5 different fiber types (pectin, ß-glucan, wheat dextrin, resistant starch, or cellulose as a control) at 10% (wt/wt) for 18 wk (n = 12/group), measuring body weight, adiposity, indirect calorimetry, glucose tolerance, and the gut microbiota and metabolites. RESULTS: Only ß-glucan supplementation during HFD-feeding decreased adiposity and body weight gain and improved glucose tolerance compared with HFD-cellulose, whereas all other fibers had no effect. This was associated with increased energy expenditure and locomotor activity in mice compared with HFD-cellulose. All fibers supplemented into an HFD uniquely shifted the intestinal microbiota and cecal short-chain fatty acids; however, only ß-glucan supplementation increased cecal butyrate concentrations. Lastly, all fibers altered the small-intestinal microbiota and portal bile acid composition. CONCLUSIONS: These findings demonstrate that ß-glucan consumption is a promising dietary strategy for metabolic disease, possibly via increased energy expenditure through alterations in the gut microbiota and bacterial metabolites in mice.

Unemployed, Immigrant, and Older Asian Workers in a U.S.-Based Job-Training Program: Their Experiences and Well-Being, and Strategies for Reaching This Important Population.

The Senior Community Service Employment Program (SCSEP) is a U.S.-based job-training program that serves unemployed workers aged 55 and older with incomes at or below 125% of the federal poverty level. While federal funds are set aside to serve Asian workers in SCSEP, little is known about their characteristics and experiences. In response, this pilot study aimed to document the health, well-being, and experiences of older Asian SCSEP participants in Massachusetts through the completion of a survey. Respondents (N = 39) ranged in age from 58 to 73 and identified as either Chinese (72%) or Vietnamese (28%). All were immigrants, and almost all spoke a language other than English at home. Most reported "good" health as well as financial difficulties. They also stated that their supervisors in their placements were supportive. On average, respondents noted moderate interest in searching for a paid job after exiting SCSEP, although more reported interest in searching for a volunteer role. Key to the success of this study was a robust collaboration with a local human services organization with strong ties to the Chinese and Vietnamese communities. The findings highlight the importance of this growing group of older workers.

Prevalence, country-specific prescribing patterns and determinants of benzodiazepine use in community-residing older adults in 7 European countries.

BACKGROUND: The use of benzodiazepines (BZDs) in older population is often accompanied by drug-related complications. Inappropriate BZD use significantly alters older adults' clinical and functional status. This study compares the prevalence, prescribing patterns and factors associated with BZD use in community-dwelling older patients in 7 European countries. METHODS: International, cross-sectional study was conducted in community-dwelling older adults (65 +) in the Czech Republic, Serbia, Estonia, Bulgaria, Croatia, Turkey, and Spain between Feb2019 and Mar2020. Structured and standardized questionnaire based on interRAI assessment scales was applied. Logistic regression was used to evaluate factors associated with BZD use. RESULTS: Out of 2,865 older patients (mean age 73.2 years ± 6.8, 61.2% women) 14.9% were BZD users. The highest prevalence of BZD use was identified in Croatia (35.5%), Spain (33.5%) and Serbia (31.3%). The most frequently prescribed BZDs were diazepam (27.9% of 426 BZD users), alprazolam (23.7%), bromazepam (22.8%) and lorazepam (16.7%). Independent factors associated with BZD use were female gender (OR 1.58, 95%CI 1.19-2.10), hyperpolypharmacy (OR 1.97, 95%CI 1.22-3.16), anxiety (OR 4.26, 95%CI 2.86-6.38), sleeping problems (OR 4.47, 95%CI 3.38-5.92), depression (OR 1.95, 95%CI 1.29-2.95), repetitive anxious complaints (OR 1.77, 95%CI 1.29-2.42), problems with syncope (OR 1.78, 95%CI 1.03-3.06), and loss of appetite (OR 0.60, 95%CI 0.38-0.94). In comparison to Croatia, residing in other countries was associated with lower odds of BZD use (ORs varied from 0.49 (95%CI 0.32-0.75) in Spain to 0.01 (95%CI 0.00-0.03) in Turkey), excluding Serbia (OR 1.11, 95%CI 0.79-1.56). CONCLUSIONS: Despite well-known negative effects, BZDs are still frequently prescribed in older outpatient population in European countries. Principles of safer geriatric prescribing and effective deprescribing strategies should be individually applied in older BZD users.

Evaluating Racial Disparities in Implementation and Monitoring of a Remote Blood Pressure Program in a Pregnant Population-A Retrospective Cohort Study.

Background: Whether remote blood pressure (BP) monitoring can decrease racial disparities in BP measurement during pregnancy and the postpartum period remains unclear. This study evaluated whether Black and White patients enrolled in the Connected Maternity Online Monitoring (CMOM) program showed improvements in BP ascertainment and interval. Methods: A retrospective cohort of 3,976 pregnant patients enrolled in CMOM were compared to matched usual care patients between January 2016 and September 2022 using electronic health record data. The primary outcomes were BP ascertainment (number of BP measurements) and BP interval (time between BP measurements) during pregnancy and the postpartum period. The proportion of patients with a hypertensive disorder of pregnancy who checked their BP within 7 days of discharge following delivery was also assessed. Results: Enrollment in CMOM was lower among Black patients than White patients (42.1% vs 54.7%, P<0.0001). Patients in the CMOM group had more BP measurements than patients in the usual care group during pregnancy (rate ratio=1.78, 95% CI 1.74-1.82) and the postpartum period (rate ratio=1.30, 95% CI 1.23-1.37), with significant improvements for both Black and White patients enrolled in CMOM compared to patients in usual care. The CMOM intervention did not result in an improvement in 7-day postpartum adherence to checking BP for Black patients (risk ratio=1.03, 95% CI 0.94-1.11) as it did for White patients (risk ratio=1.09, 95% CI 1.01-1.17). Conclusion: Remote BP monitoring programs are a helpful tool to improve the frequency of BP measurements and shorten intervals between measurements during the prenatal and postpartum periods for all patients. Future evaluation is needed to determine the barriers to offering the program to and enrolling Black patients.

Effects of a Transoceanic Rowing Challenge on Cardiorespiratory Function and Muscle Fitness.

Ultra-endurance sports and exercise events are becoming increasingly popular for older age groups. We aimed to evaluate changes in cardiac function and physical fitness in males aged 50-60 years who completed a 50-day transoceanic rowing challenge. This case account of four self-selected males included electro- and echo-cardiography (ECG, echo), cardiorespiratory and muscular fitness measures recorded nine months prior to and three weeks after a transatlantic team-rowing challenge. No clinically significant changes to myocardial function were found over the course of the study. The training and race created expected functional changes to left ventricular and atrial function; the former associated with training, the latter likely due to dehydration, both resolving towards baseline within three weeks post-event. From race-start to finish all rowers lost 8.4-15.6 kg of body mass. Absolute cardiorespiratory power and muscular strength were lower three weeks post-race compared to pre-race, but cardiorespiratory exercise economy improved in this same period. A structured program of moderate-vigorous aerobic endurance and muscular training for>6 months, followed by 50-days of transoceanic rowing in older males proved not to cause any observable acute or potential long-term risks to cardiovascular health. Pre-event screening, fitness testing, and appropriate training is recommended, especially in older participants where age itself is an increasingly significant risk factor.

SEMPro: A Data-Driven Pipeline To Learn Structure-Property Insights from Scanning Electron Microscopy Images.

Analyzing hydrogel microstructure through scanning electron microscopy (SEM) images is crucial in understanding hydrogel properties. However, the analysis of SEM images in hydrogel research heavily relies on the intuition of individual researchers and is constrained by the limited size of the dataset. To address this, we propose SEMPro, a data-driven solution using web-scraping and deep learning (DL) to compile and analyze the structure-property relationships of hydrogels through SEM images. It accurately predicts the elastic modulus from SEM images within the same order of magnitude and displays a learned extraction of modulus-relevant features in SEM images as seen through the nontrivial activation mapping and transfer learning. By employing Explainable AI through activation map exposure, SEMPro validates the model predictions. SEMPro represents a closed-loop data collection and analysis pipeline, providing critical insights into hydrogels and soft materials. This innovative approach has the potential to revolutionize hydrogel research, offering high-dimensional insights for further advancements.

Cognitive Change Among Nursing Home Residents: CogRisk-NH Scale Development to Predict Decline.

OBJECTIVES: Examine cognitive changes over time among nursing home residents and develop a risk model for identifying predictors of cognitive decline. DESIGN: Using secondary analysis design with Minimum Data Set data, cognitive status was based on the Cognitive Performance Scale (CPS). SETTING AND PARTICIPANTS: Baseline and 7 quarterly follow-up analyses of US and Canadian interRAI data (N = 1,257,832) were completed. METHODS: Logistic regression analyses identified predictors of decline to form the CogRisk-NH scale. RESULTS: At baseline, about 15% of residents were cognitively intact (CPS = 0), and 11.2% borderline intact (CPS = 1). The remaining more intact, with mild impairment (CPS = 2), included 15.0%. Approximately 59% residents fell into CPS categories 3 to 6 (moderate to severe impairment). Over time, increasing proportions of residents declined: 17.1% at 6 months, 21.6% at 9 months, and 34.0% at 21 months. Baseline CPS score was a strong predictor of decline. Categories 0 to 2 had 3-month decline rates in midteens, and categories 3 to 5 had an average decline rate about 9%. Consequently, a 2-submodel construction was employed-one for CPS categories 0 to 2 and the other for categories 3 to 5. Both models were integrated into a 6-category risk scale (CogRisk-NH). CogRisk-NH scale score distribution had 15.9% in category 1, 26.84% in category 2, and 36.7% in category 3. Three higher-risk categories (ie, 4-6) represented 20.6% of residents. Mean decline rates at the 3-month assessment ranged from 4.4% to 28.3%. Over time, differentiation among risk categories continued: 6.9% to 38.4.% at 6 months, 11.0% to 51.0% at 1 year, and 16.2% to 61.4% at 21 months, providing internal validation of the prediction model. CONCLUSIONS AND IMPLICATIONS: Cognitive decline rates were higher among residents in less-impaired CPS categories. CogRisk-NH scale differentiates those with low likelihood of decline from those with moderate likelihood and, finally, much higher likelihood of decline. Knowledge of resident risk for cognitive decline enables allocation of resources targeting amenable factors and potential interventions to mitigate continuing decline.

Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.

INTRODUCTION: In ageing societies, the number of older adults with complex chronic conditions (CCCs) is rapidly increasing. Care for older persons with CCCs is challenging, due to interactions between multiple conditions and their treatments. In home care and nursing homes, where most older persons with CCCs receive care, professionals often lack appropriate decision support suitable and sufficient to address the medical and functional complexity of persons with CCCs. This EU-funded project aims to develop decision support systems using high-quality, internationally standardised, routine care data to support better prognostication of health trajectories and treatment impact among older persons with CCCs. METHODS AND ANALYSIS: Real-world data from older persons aged ≥60 years in home care and nursing homes, based on routinely performed comprehensive geriatric assessments using interRAI systems collected in the past 20 years, will be linked with administrative repositories on mortality and care use. These include potentially up to 51 million care recipients from eight countries: Italy, the Netherlands, Finland, Belgium, Canada, USA, Hong Kong and New Zealand. Prognostic algorithms will be developed and validated to better predict various health outcomes. In addition, the modifying impact of pharmacological and non-pharmacological interventions will be examined. A variety of analytical methods will be used, including techniques from the field of artificial intelligence such as machine learning. Based on the results, decision support tools will be developed and pilot tested among health professionals working in home care and nursing homes. ETHICS AND DISSEMINATION: The study was approved by authorised medical ethical committees in each of the participating countries, and will comply with both local and EU legislation. Study findings will be shared with relevant stakeholders, including publications in peer-reviewed journals and presentations at national and international meetings.

Self-strengthening stimuli-responsive nanocomposite hydrogels.

Stimuli-responsive hydrogels with self-strengthening properties are promising for the use of autonomous growth and adaptation systems to the surrounding environments by mimicking biological materials. However, conventional stimuli-responsive hydrogels require structural destruction to initiate mechanochemical reactions to grow new polymeric networks and strengthen themselves. Here we report continuous self-strengthening of a nanocomposite hydrogel composed of poly(N-isopropylacrylamide) (PNIPAM) and nanoclay (NC) by using external stimuli such as heat and ionic strength. The internal structures of the NC-PNIPAM hydrogel are rearranged through the swelling-deswelling cycles or immersing in a salt solution, thus its mechanical properties are significantly improved. The effects of concentration of NC in hydrogels, number of swelling-deswelling cycles, and presence of salt in the surrounding environment on the mechanical properties of hydrogels are characterized by nanoindentation and tensile tests. The self-strengthening mechanical performance of the hydrogels is demonstrated by the loading ability. This work may offer promise for applications such as artificial muscles and soft robotics.

Harnessing the Chaplain's Capacity to Identify Unmet Palliative Needs of Vulnerable Older Adults in the Emergency Department.

Objective: To explore chaplains' ability to identify unmet palliative care (PC) needs in older emergency department (ED) patients. Methods: A palliative chaplain-fellow conducted a retrospective chart review evaluating 580 ED patients, age ≥80 using the Palliative Care and Rapid Emergency Screening (P-CaRES) tool. An emergency medicine physician and chaplain-fellow screened 10% of these charts to provide a clinical assessment. One year post-study, charts were re-examined to identify which patients received PC consultation (PCC) or died, providing an objective metric for comparing predicted needs with services received. Results: Within one year of ED presentation, 31% of the patient sub-sample received PCC; 17% died. Forty percent of deceased patients did not receive PCC. Of this 40%, chaplain screening for P-CaRES eligibility correctly identified 75% of the deceased as needing PCC. Conclusion: Establishing chaplain-led PC screenings as standard practice in the ED setting may improve end-of-life care for older patients.

The Gut Microbiome: Connecting Diet, Glucose Homeostasis, and Disease.

Type 2 diabetes rates continue to rise unabated, underscoring the need to better understand the etiology and potential therapeutic options available for this disease. The gut microbiome plays a role in glucose homeostasis, and diabetes is associated with alterations in the gut microbiome. Given that consumption of a Western diet is associated with increased metabolic disease, and that a Western diet alters the gut microbiome, it is plausible that changes in the gut microbiota mediate the dysregulation in glucose homeostasis. In this review, we highlight a few of the most significant mechanisms by which the gut microbiome can influence glucose regulation, including changes in gut permeability, gut-brain signaling, and production of bacteria-derived metabolites like short-chain fatty acids and bile acids. A better understanding of these pathways could lead to the development of novel therapeutics to target the gut microbiome in order to restore glucose homeostasis in metabolic disease.

Childhood trauma differentially impacts depression and stress associations with reintegration challenges among post-9/11 U.S. veterans.

BACKGROUND: Post-9/11 veterans exhibit high prevalence of deployment stress, psychological conditions, and traumatic brain injury (TBI) which impact reintegration, especially among those with a history of interpersonal early life trauma (I-ELT). The relative importance of each risk factor is unclear. PURPOSE: We examined major deployment and clinical exposures of reintegration challenges among veterans with and without I-ELT. METHOD: We analyzed cross-sectional data of 155 post-9/11 veterans from the Translational Research Center for TBI and Stress Disorders study. FINDINGS: Depression severity had the strongest association with reintegration challenges, followed by posttraumatic stress disorder (PTSD) severity, post-deployment stress, and deployment safety concerns. Deployment safety concerns had a stronger, significant association among veterans with I-ELT. In nearly every model, PTSD and depression severities were weaker for veterans with I-ELT, compared to those without. DISCUSSION: Clinicians should consider the relative risk of concurrent clinical conditions and trauma histories when considering veterans' reintegration needs.

Does the Person-Centered Care Model Support the Needs of Long-Term Care Residents With Serious Mental Illness and Intellectual and Developmental Disabilities?

Person-centered care approaches continue to evolve in long-term care (LTC). At the same time, these settings have faced increased challenges due to a more diverse and complex population, including persons with intellectual and developmental disabilities (IDD) and serious mental illness (SMI). This study examined the mental, social, and physical wellbeing of residents with different diagnoses, within a person-centered care model. It was hypothesized that individual wellbeing would be comparable among all residents, regardless of primary diagnosis. The study cohort was drawn from all admissions to long-term care facilities in the USA from 2011 to 2013. Data are based on admission, 3 and 6 month follow-up Minimum Data Set (MDS) 3.0 assessments. The groups examined included: schizophrenia, other psychotic disorders, IDD, dementia, and all others (i.e., none of the above diagnoses). The wellbeing outcomes were depression (mental), pain (physical), and behaviors (social). All residents experienced improvements in pain and depression, though the group without the examined diagnoses experienced the greatest gains. Behaviors were most prevalent among those with psychotic disorders; though marked improvements were noted over time. Improvement also was noted among persons with dementia. Behavior worsened over time for the three other groups. In particular, those with IDD experienced the highest level of worsening at 3-month follow-up, and continued to worsen. The results suggest person-centered care in US nursing homes provides the necessary foundation to promote mental and physical wellbeing in persons with complex needs, but less so for social wellbeing.

Evaluation of a Tool to Measure the Demands of Immigration.

BACKGROUND: The Demands of Immigration (DI) scale consists of six subscales and is designed to measure demands that negatively affect emotional health of immigrants. PURPOSE: The purpose of this review is to (a) examine the DI scale's language versions and translation procedures; and (b) evaluate reliability and validity of the DI scale based on studies subsequent to its initial development. METHODS: Published studies were identified through CINAHL Complete, MEDLINE, Social Sciences Premium Collection and PsycInfo. RESULTS: Seventeen quantitative studies reported the DI scale's reliability (internal consistency and test-retest) and/or validity (content and construct). Correlations among the DI subscales and key variables (e.g., job satisfaction, acculturation, depression, perceived support, and resilience) support its construct validity. CONCLUSION: The DI scale is a reliable and valid tool for measuring demands or challenges that immigrants face.

ArtontheBrain: Results of a Pilot Project Among Long-Term Care Residents.

For long-term care (LTC) residents, multiple barriers impede access to formal museum-based participa-tory art programming. Capitalizing on available technologies may circumvent common barriers and improve quality of life for those older adults even in the presence of dementia. Targets: A convenience sample of 31 older adults was recruited from the population of residents in one LTC facility. Intervention: ArtontheBrain, a web-based program, engages participants in activities centered on visual artwork, enabling users to learn about artists through activities, such as puzzles, storytelling, and group discussions. Mechanisms of Action: Researchers hypothesized that engagement with ArtontheBrain would benefit perceived quality of life in the domains of meaningful activity engagement and personal relationships and secondarily, improvements in functional performance, mood state, and cognitive performance may occur. Outcomes: Application of a quality of life survey pre and post ArtontheBrain intervention revealed significant improvements within the individual subsample for two activity options: engagement in enjoyable activities on weekends and evenings and explore new skills and interests. Total scores for the personal relationship scale had significant improvements post-intervention for the individual and group subsamples. The individual subsample demonstrated improvement in cognitive performance, which worsened for the group subsample. Mood and functional ability worsened for the entire sample.[Research in Gerontological Nursing, 14(5), 235-243.].

Anti-racist interventions to transform ecology, evolution and conservation biology departments.

Racial and ethnic discrimination persist in science, technology, engineering and mathematics fields, including ecology, evolution and conservation biology (EECB) and related disciplines. Marginalization and oppression as a result of institutional and structural racism continue to create barriers to inclusion for Black people, Indigenous people and people of colour (BIPOC), and remnants of historic racist policies and pseudoscientific theories continue to plague these fields. Many academic EECB departments seek concrete ways to improve the climate and implement anti-racist policies in their teaching, training and research activities. We present a toolkit of evidence-based interventions for academic EECB departments to foster anti-racism in three areas: in the classroom; within research laboratories; and department wide. To spark restorative discussion and action in these areas, we summarize EECB's racist and ethnocentric histories, as well as current systemic problems that marginalize non-white groups. Finally, we present ways that EECB departments can collectively address shortcomings in equity and inclusion by implementing anti-racism, and provide a positive model for other departments and disciplines.

Machine-Learning Modeling to Predict Hospital Readmission Following Discharge to Post-Acute Care.

OBJECTIVES: Primary purpose was to generate a model to identify key factors relevant to acute care hospital readmission within 90 days from 3 types of post-acute care (PAC) sites: home with home care services (HC), skilled nursing facility (SNF), and inpatient rehabilitation facility (IRF). Specific aims were to (1) examine demographic characteristics of adults discharged to 3 types of PAC sites and (2) compare 90-day acute hospital readmission rate across PAC sites and risk levels. DESIGN: Retrospective, secondary analysis design was used to examine hospital readmissions within 90 days for persons discharged from hospital to SNF, IRF, or HC. SETTINGS AND PARTICIPANTS: Cohort sample was composed of 2015 assessment data from 3,592,995 Medicare beneficiaries, including 1,536,908 from SNFs, 306,878 from IRFs, and 1,749,209 patients receiving HC services. MEASURES: Initial level of analysis created multiple patient profiles based on predictive patient characteristics. Second level of analysis consisted of multiple logistic regressions within each profile to create predictive algorithms for likelihood of readmission within 90 days, based on risk profile and PAC site. RESULTS: Total sample 90-day hospital readmission rate was 27.48%. Patients discharged to IRF had the lowest readmission rate (23.34%); those receiving HC services had the highest rate (31.33%). Creation of model risk subgroups, however, revealed alternative outcomes. Patients seem to do best (i.e., lowest readmission rates) when discharged to SNF with one exception, those in the very high risk group. Among all patients in the low-, intermediate-, and high-risk groups, the lowest readmission rates occurred among SNF patients. CONCLUSIONS AND IMPLICATIONS: The proposed model has potential use to stratify patients' potential risk for readmission as well as optimal PAC destination. Machine-learning modeling with large data sets is a useful strategy to increase the precision accuracy in predicting outcomes among patients who have nonhome discharges from the hospital.

Topical treatment of vulvodynia, dyspareunia and pudendal neuralgia: A single clinic audit of amitriptyline and oestriol in organogel.

BACKGROUND: Vulvodynia and pudendal neuralgia comprise significant contributors to vulvar-related pain and its impact on daily life. AIM: A retrospective clinical audit was conducted at the Women's Health & Research Institute of Australia, Sydney, to determine the pattern of use and the efficacy of the application of topical amitriptyline 0.5% plus oestriol 0.03% in organogel (AOO), to the vulvar vestibule in reducing the impact of pain on daily life. MATERIALS AND METHODS: There were 1174 patients who received a script from May 2017 until February 2020: 1054 patients agreed to be contacted and had a valid email address. RESULTS: There were 376 (35.7%) patients who replied. Pain with intercourse was the main indication for use. Treatment was rated effective by 51.2% (95% CI: 35.4-66.8%) of patients less than 30 years of age, 66.7% (95% CI: 57.3-74.9%) of patients 30-50 years of age, and 58.3% (95% CI: 50.9-65.4%) in patients over 50. Stinging at the site of application was the most commonly reported side effect. CONCLUSION: Topical AOO is an effective and well-tolerated treatment for vulvar pain.

Accessible Virtual Arts Recreation for Wellbeing Promotion in Long-Term Care Residents.

The efficacy of a technology-driven visual arts recreation activity, delivered virtually, was evaluated for its potential to achieve positive impacts, similar to traditional arts-interventions, on wellbeing in long-term care residents. Thirty-one residents (average age 86.8 years; SD = 9.4) engaged with the arts-intervention for 30-minutes, twice weekly, for 6 weeks with either a partner or as part of a group. Wellbeing indicators included self-reported psychological and health-related wellness, and attention capacity. Binomial tests of postintervention change revealed a significant above-chance probability of improvement in one or more wellbeing indicators (p < .05). Postparticipation feedback survey scores were positive (p < .05). Cognitive status did not influence outcome; however, other participant characteristics such as younger age, higher openness-to-experience (personality trait), and lower baseline mood were significantly associated with positive response to the intervention (p < .05). Findings demonstrate technology may be an effective platform for promoting accessibility to beneficial arts-interventions for older adults.

Assessing Older Adult Wellness: An Assessment of the Psychometric Properties of the Lifestyle Survey.

BACKGROUND AND PURPOSE: To measure wellness interventions, researchers need valid and reliable tools to measure the concept of wellness. The purpose of this study is to examine the validity and reliability of the Lifestyle Survey instrument. METHODS: Community-dwelling older adults were recruited and asked to evaluate the reliability by engaging in a test retest reliability. Observer agreement was measured by calculating a kappa score for each item. Content validity was evaluated with a focus group session. RESULTS: (n = 56) older adults completed the survey on time one and time two. Of 115 items, 77.39% demonstrated moderate or higher kappa agreement. Focus group respondents identified rewording a few items. CONCLUSION: With refinement, the Lifestyle Survey is a valid and reliable measure of wellness among community-dwelling older adults.