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This study aimed to investigate the rate of sedentary behaviour and differences in physical outcomes and activities of daily living (ADL) based on sedentary behaviour time of hospitalized older cardiovascular disease patients undergoing phase I cardiac rehabilitation. Older cardiovascular disease patients were enrolled from October 2020 to September 2023 and were divided into the high sedentary behaviour group (≥ 480 min/day) and low sedentary behaviour group (< 480 min/day). Patients' clinical characteristics, usual gait speed, and Five Times Sit to Stand Test time were compared as indices of physical outcomes. Motor, cognitive, and total Functional Independence Measure (FIM) scores were used as indices of ADL and compared between groups using analysis of covariance. Final analysis included 402 patients (mean age: 76.7 years, female: 35.3%). The high sedentary behaviour group included 48.5% of the study patients. After adjustment for baseline characteristics, gait speed (0.80 ± 0.27 vs. 0.96 ± 0.23 m/s, p < 0.001) was lower and FTSST time (11.31 ± 4.19 vs. 9.39 ± 3.11 s, p < 0.001) was higher in the high sedentary behaviour group versus low sedentary behaviour group. Motor (85.82 ± 8.82 vs. 88.09 ± 5.04 points, p < 0.001), cognitive (33.32 ± 2.93 vs. 34.04 ± 2.24 points, p < 0.001), and total FIM scores (119.13 ± 10.66 vs. 122.02 ± 6.30 points, p < 0.001) were significantly lower in the high sedentary behaviour group versus low sedentary behaviour group after adjustment. In older cardiovascular disease patients in phase I cardiac rehabilitation, sedentary behaviour time might influence physical outcomes and ADL at discharge. It is thus important to consider the amount of sedentary behaviour time spent by these patients during daily life while hospitalized., (© 2024. The Author(s).)

Objective: To clarify the impacts of health literacy on mortality, readmission, and quality of life (QOL) in the secondary or tertiary prevention of cardiovascular diseases (CVD) through a meta-analysis., Methods: Six electronic databases were searched on June 11, 2020. Observational studies involving patients with CVD, health literacy as an exposure factor and mortality, readmission, or QOL as outcomes were included in this study. Two researchers screened the retrieved articles and extracted data independently. The meta-analysis calculated the pooled relative risk of mortality and readmission. We also assessed the body of evidence based on Grading of Recommendations Assessment, Development and Evaluation (GRADE)., Results: Following screening of 1616 studies, 16 observational studies were included. The mean rate of low health literacy was 32.8%. All studies focusing on QOL showed significant impacts of health literacy. Pooled relative risk was 1.621 (95% confidence interval: 1.089-2.412) for mortality and 1.184 (95% confidence interval: 1.035-1.355) for readmission, indicating significant effects of health literacy. GRADE assessment showed "LOW" certainty for each outcome., Conclusion: Low health literacy was significantly associated with increased mortality and hospital readmission and decreased QOL in patients with CVD., Practice Implications: Considering low health literacy in clinical practice is very important to improve prognosis of CVD patients., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: The relationship between mild cognitive impairment (MCI) and pinch strength in patients with cardiovascular disease is unclear. The purpose of the present study was to examine the associations among MCI and pinch strength and to determine a pinch strength cut-off value for use in the assessment of MCI., Methods: We conducted a cross-sectional study of 135 patients with cardiovascular disease but without probable dementia. MCI was estimated with the Japanese version of the Montreal Cognitive Assessment. We classified patients into the normal cognitive group and MCI group and compared their clinical characteristics, handgrip strength, and pinch strength. The relation between MCI and pinch strength was clarified with logistic regression analysis, and the cut-off value for three-fingered pinch strength was determined by receiver operating characteristic curve analysis., Results: The incidence of MCI was 37.0 %. Significant differences between the two groups were identified for age, body mass index, hemoglobin, estimated glomerular filtration rate, albumin, dyslipidemia, use of nitrates, educational background, handgrip strength, and pinch strength. After multivariate analysis, three-fingered pinch strength was significantly associated with MCI (odds ratio 0.77, p= 0.02). The cut-off value of three-fingered pinch strength for predicting MCI was 6.75 kgf (area under the curve = 0.71; p< 0.001)., Conclusions: Pinch strength was one independent factor significantly associated with MCI in patients with cardiovascular disease. The determination of a cut-off value for three-fingered pinch strength that can predict MCI may be one important factor in the early screening for MCI in the daily clinical setting., (Copyright © 2020 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.)

Activities of daily living (ADL) are maintained in patients with mild cognitive impairment (MCI), but, in patients with cardiovascular disease, ADL may have already declined. MCI combined with cardiac disease may accentuate the decline of ADL in these patients. Because the relationship between MCI and ADL in patients with cardiovascular disease is unclear, we examined the associations between MCI and ADL in these patients. We conducted a cross-sectional study of 114 patients with cardiovascular disease but without probable dementia. MCI was estimated with the Japanese version of the Montreal Cognitive Assessment (MoCA-J). We classified patients into the normal cognitive group and MCI group, and compared their clinical characteristics, physical function [Short Physical Performance Battery (SPPB), gait speed, handgrip strength, and knee extensor muscle strength], and ADL [via the Functional Independence Measure (FIM)]. We used logistic regression analysis to evaluate the specific association between MCI and ADL. The incidence of MCI was 36.0%. Significant differences between the two groups were identified for age, body mass index, estimated glomerular filtration rate, albumin, dyslipidemia, educational background, SPPB, gait speed, handgrip strength, and FIM. However, after adjustment for covariates, only FIM was significantly associated with MCI (odds ratio 0.74, 95% confidence interval 0.65-0.84, p < 0.001). ADL was the only independent factor significantly associated with MCI in patients with cardiovascular disease. ADL may be hindered in these patients, even at an early stage of MCI. Therefore, early intervention is necessary to prevent ADL decline from the time of MCI onset or before.

Background and Aims: It is important to encourage physical activity in patients with cardiovascular disease (CVD), and self-monitoring is considered to contribute to increased physical activity. However, the effects of self-monitoring on CVD patients remain to be established. In this study, we examined the influence of self-monitoring on physical activity of patients with CVD via a systematic review and meta-analysis., Methods: Screening of randomized controlled trials only was undertaken twice on PubMed (date of appraisal: August 29, 2017). The inclusion criteria included outpatients with CVD, interventions for them, daily step counts as physical activity included in the outcome, and self-monitoring included in the intervention. Assessments of the risk of bias and meta-analysis in relation to the mean change of daily step counts were conducted to verify the effects of self-monitoring., Results: From 205 studies retrieved on PubMed, six studies were included, with the oldest study published in 2005. Participants included 693 patients of whom 541 patients completed each study program. Their mean age was 60.8 years, and the ratio of men was 79.6%. From these 6 studies, a meta-analysis was conducted with 269 patients of 4 studies including only RCTs with step counts in the intervention group and the control group, and self-monitoring significantly increased physical activity (95% confidence interval, 1916-3090 steps per day, p < 0.05). The average intervention period was about 5 months. Moreover, four studies involved intervention via the internet, and five studies confirmed the use of self-monitoring combined with other behavior change techniques., Conclusion: The results suggest that self-monitoring of physical activity by patients with CVD has a significantly positive effect on their improvement. Moreover, the trend toward self-monitoring combined with setting counseling and activity goals, and increased intervention via the internet, may lead to the future development and spread of self-monitoring for CVD patients.