Does whey protein supplementation during resistance exercise have additional benefits for decreasing hepatic fat content?

BACKGROUND: Exercise and diet have positive effects on hepatic fat reduction, and protein supplementation is known to lower hepatic fat accumulation. However, the effect of a combination of exercise and whey protein supplementation (WPS) on hepatic fat content (HFC) is unknown. METHODS: We investigated the effect of WPS on HFC during resistance exercise and diet control intervention for four weeks. A total of 34 sedentary males participated and were randomly assigned to two groups: a protein supplement group (PSG, n = 18) and a control group (CG, n = 16). The PSG took 60 g of WPS per day, and the CG took 60 g of an isocaloric placebo per day. All participants were fed a calorie-controlled diet throughout the study period, with their daily caloric intake determined by their resting metabolic rate and physical activity level. Both groups performed resistance exercises supervised by experts at 60-70% of their maximum efforts for 60 min/day, 6 days/week for 4 weeks. HFC was assessed using the controlled attenuation parameter (CAP) after an 8 h fast, at pre-, mid-, and post-intervention. Liver enzymes and lipid profile were also analyzed after an 8 h fast and pre- and post-intervention. RESULTS: The CAP was significantly reduced after 4 weeks of intervention in both groups (PSG, p < .001; CG, p = .002). However, there was no significant interaction between the group and changes in CAP. Interestingly, when comparing the pre- and mid-tests, both groups also had significantly reduced CAP (PSG, p = .027; CG, p = .028), but there was a significant difference in the amount of change in CAP between the two groups (PSG, -47.2 ± 25.4 dB/m; CG, -19.5 ± 15.1 dB/m; p = .042). For liver enzymes, there was a significant interaction between the two groups and a change in aspartate transaminase (AST) (p = .038). However, alanine aminotransferase (ALT) levels were significantly decreased only in the PSG group (p = .002). In lipids, both groups showed significantly decreased total cholesterol (p < .001) and low-density lipoprotein cholesterol (p < .001) after the intervention. CONCLUSION: Our data showed that WPS may not enhance the overall effects of resistance exercise on HFC and lipid profiles. However, in part, WPS may have a beneficial effect on liver enzymatic changes and rapid response to resistance exercise-induced HFC reduction.

Evaluation of a technology-enhanced, integrated community health and wellness program for seniors (HWePS): protocol of a non-randomized comparison trial.

BACKGROUND: Healthy aging for all in the community is a shared public health agenda for countries with aging populations, but there is a lack of empirical evidence on community-wide preventive models that promote the health of older people residing in socially-disadvantaged communities. The Health and Wellness Program for Seniors (HWePS) is a technology-enhanced, multi-level, integrated health equity intervention model. This study evaluates the effect of the HWePS on the health and well-being of older adults residing in urban, low-income communities.  METHODS/DESIGN: HWePS is a prospective, non-randomized comparison trial conducted in an intervention and a control neighborhood (dong) in Seoul, South Korea, over 12 months. Older people who reside in the small areas and meet the inclusion/exclusion criteria are eligible to participate. The multi-level, multi-faceted HWePS intervention is a preventive community care model for older residents guided by the expanded chronic care model, the comprehensive health literacy intervention model, and the Systems for Person-centered Elder Care model along with health equity frameworks. HWePS consists of four components: a health literacy intervention based on individual and community needs assessments, personalized (self-)care management featuring nurse coaching and peer support, a healthy-living and healthy-aging community initiative, and information and communication technology (ICT) systems. The primary outcomes are self-reported health and health-related quality of life. Outcome assessors and data analysts are blinded to group assignment. Process evaluation will be also conducted. DISCUSSION: As a multi-level health equity project, HWePS has adopted a novel study design that simultaneously targets individual- and community-level factors known to contribute to health inequality in later life in the community. The study will provide insights into the effectiveness and implementation process of an integrated, multi-level, preventive community care model, which in turn can help improve the health outcomes of older residents and reduce disparities in underserved urban communities. TRIAL REGISTRATION: ISRCTN29103760. Registered 2 September 2021, https://www.isrctn.com/ISRCTN29103760.

A Pilot Study of Machine Learning-Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults.

As life expectancy increases, there is a growing consensus on the development of integrated care encompassing the health and daily activities of older adults. In recent years, although the demand for machine learning applications in healthcare has increased, only a few studies have implemented machine learning-based systems in integrated care for older adults owing to the complex needs of older adults and the coarseness of the available data. Our study aims to explore the possibility of implementing machine learning decision-support algorithms in the integrated care of older community-dwelling adults. Our experiment uses secondary data based on the community-based integrated service model. Such data were collected from 511 older adults through 162 assessment items in which tailored services were selected from 18 available services. We implemented four machine learning models: decision tree, random forest, K-nearest neighbors, and multilayer perceptron. The area under the receiver operating characteristic curve results of the four models were decision tree = 0.89, K-nearest neighbors = 0.88, random forest = 0.93, and multilayer perceptron = 0.88. The results suggest that machine learning-based decision-assisting algorithms can improve the quality of tailored services for integrated care with intensive involvement of face-to-face tasks by reducing the simple, repetitive tasks of care managers.

Analysis of blood pressure and blood pressure variability pattern among older patients in long-term care hospitals: an observational study analysing the Health-RESPECT (integrated caRE Systems for elderly PatiEnts using iCT) dataset.

OBJECTIVES: There are limited data regarding blood pressure (BP) variability among older adults living in long-term care hospitals (LTCHs). We aimed to collect data from LTCH and analyse BP characteristics and its variability among these patients using a novel platform. METHODS: The Health-RESPECT (integrated caRE Systems for elderly PatiEnts using iCT) platform was used to construct a daily BP dataset using data of 394 older patients from 6 LTCHs. BP variability was expressed as coefficient of variation (CV = standard deviation/mean of BP × 100). Physical frailty and cognitive function were evaluated using the K-FRAIL questionnaire and the Cognitive Performance Scale of the interRAI Long-Term Care Facilities tool, respectively. RESULTS: From September 2019 to September 2020, 151,092 BP measurements, 346.5 (IQR 290.8-486.3) measurements per patient, were included. The mean BP was 123.4 ± 10.8/71.3 ± 6.5 mmHg. BP was significantly lower in frail patients (122.2 ± 11.3/70.4 ± 6.8 mmHg) than in pre-frail/robust patients (124.4 ± 10.4/72.1 ± 6.1 mmHg, P < 0.05). However, CV of systolic (10.7 ± 2.3% versus 11.3 ± 2.3%, P = 0.005) and diastolic (11.6 ± 2.3% versus 12.4 ± 2.4%, P < 0.001) BP was higher in frail patients. The mean BP was lower, but BP variability was higher in patients with cognitive impairment. The mean BP, but not BP variability, was higher in treated hypertensive patients, as the number of antihypertensive medications increased. CONCLUSION: Older patients with physical or cognitive frailty had lower BP but higher BP variability. Relationship among frailty, increased BP variability and adverse clinical outcomes should be investigated.

Effectiveness of a Technology-Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge Cluster Randomized Trial in Nursing Homes.

BACKGROUND AND OBJECTIVES: The objective of this study was to evaluate the impact of an information and communication technologies (ICT)-enhanced, multidisciplinary integrated care model, called Systems for Person-centered Elder Care (SPEC), on frail older adults at nursing homes. RESEARCH DESIGN AND METHODS: SPEC was implemented at 10 nursing homes in South Korea in random order using a stepped-wedge design. Data were collected on all participating older residents in the homes before the first implementation and until 6 months after the last implementation. The 21-month SPEC intervention guided by the chronic care model (CCM) consists of 5 strategies: comprehensive geriatric assessment, care planning, optional interdisciplinary case conferences, care coordination, and a cloud-based ICT tool along with a free messaging app. The primary outcome was quality of care measured by a composite quality indicator (QI) from the interRAI assessment system. Usual care continued over the control periods. Nursing home staff were not blinded to the intervention. RESULTS: There were a total of 482 older nursing home residents included in the analysis. Overall quality of care measured by the composite QI was significantly improved (adjusted mean difference: -0.025 [95% CI: -0.037 to -0.014, p < .0001]). The intervention effect was consistent in the subgroup analysis by cognition and activities of daily living. There were no important adverse events or side effects. DISCUSSION AND IMPLICATIONS: The SPEC, a CCM-guided, ICT-supported, multidisciplinary integrated care management intervention, can improve the quality of care measured by health and functional outcomes for frail older persons residing in nursing homes with limited health care provision. CLINICAL TRIALS REGISTRATION NUMBER: ISRCTN11972147.

Evaluation of a technology-enhanced integrated care model for frail older persons: protocol of the SPEC study, a stepped-wedge cluster randomized trial in nursing homes.

BACKGROUND: Limited evidence exists on the effectiveness of the chronic care model for people with multimorbidity. This study aims to evaluate the effectiveness of an information and communication technology- (ICT-)enhanced integrated care model, called Systems for Person-centered Elder Care (SPEC), for frail older adults at nursing homes. METHODS/DESIGN: SPEC is a prospective stepped-wedge cluster randomized trial conducted at 10 nursing homes in South Korea. Residents aged 65 or older meeting the inclusion/exclusion criteria in all the homes are eligible to participate. The multifaceted SPEC intervention, a geriatric care model guided by the chronic care model, consists of five components: comprehensive geriatric assessment for need/risk profiling, individual need-based care planning, interdisciplinary case conferences, person-centered care coordination, and a cloud-based information and communications technology (ICT) tool supporting the intervention process. The primary outcome is quality of care for older residents using a composite measure of quality indicators from the interRAI LTCF assessment system. Outcome assessors and data analysts will be blinded to group assignment. Secondary outcomes include quality of life, healthcare utilization, and cost. Process evaluation will be also conducted. DISCUSSION: This study is expected to provide important new evidence on the effectiveness, cost-effectiveness, and implementation process of an ICT-supported chronic care model for older persons with multiple chronic illnesses. The SPEC intervention is also unique as the first registered trial implementing an integrated care model using technology to promote person-centered care for frail older nursing home residents in South Korea, where formal LTC was recently introduced. TRIAL REGISTRATION: ISRCTN11972147.

Delivery of institutional long-term care under two social insurances: Lessons from the Korean experience.

Little is known about health and social care provision for people with long-term care (LTC) needs under multiple insurances. The aim of this study is to compare the profile, case-mix, and service provision to older people at long-term care hospitals (LTCHs) covered by the national health insurance (NHI) with those of older people at long-term care facilities (LTCFs) covered by the public long-term care insurance (LTCI) in Korea. A national LTC survey using common functional measures and a case-mix classification system was conducted with a nationally representative sample of older people at LTCFs and LTCHs in 2013. The majority of older people in both settings were female and frail, with complex chronic diseases. About one fourth were a low-income population with Medical-Aid. The key functional status was similar between the two groups. As for case-mix, more than half of the LTCH population were categorized as having lower medical care needs, while more than one fourth of the LTCF residents had moderate or higher medical care needs. Those with high medical care needs at LTCFs were significantly more likely to be admitted to acute-care hospitals than their counterparts at LTCHs. The current delivery of institutional LTC under the two insurances in Korea is not coordinated well. It is necessary to redefine the roles of LTCHs and strengthen health care in LTCFs. A systems approach is critical to establish person-centered, integrated LTC delivery across different financial sources.