Postdischarge Light-Intensity Physical Activity Predicts Rehospitalization of Older Japanese Patients With Heart Failure

Miyahara, So; Fujimoto, Naoki; Dohi, Kaoru; Sugiura, Emiyo; Moriwaki, Keishi; Omori, Taku; Takeuchi, Tetsushiro; Kumagai, Naoto; Nakamori, Shiro; Yamada, Norikazu; Ito, Masaaki

doi:10.1097/hcr.0000000000000296

Cited by 11 publications

(13 citation statements)

References 12 publications

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“…In these follow-up studies, Conraads et al showed 3% relative risk reduction for CHF-related hospitalisation with each 10-minute increase in PA (41). This was consistent with findings from a Japanese population, with Miyahara et al showing a 6-fold higher CHF-related hospitalisation rate in low activity patients when compared to those who were physically active (50). This study also showed total physical activity to be the only significant predictor of rehospitalisation on multivariate analysis (Odds Ratio=0.65, p=0.03) and LIPA to best predict CHF rehospitalisation (OR=0.60, p=0.03).…”

Section: Mortalitysupporting

confidence: 73%

“…This improved its predictive ability of death or CHF-related hospitalisation from a c-index of 0.61 to 0.65 (41).3.5.2 MorbidityFive studies focused on cognitive function in CHF patients(36)(37)(38)(39)(40). Four studies investigated AQPA's relationship to hospitalisations and other intercurrent events in CHF(41,42,47,50) and two determined the ability of AQPA in predicting NYHA functional class (45, 51). Alosco et al also found AQPA was predictive of cognitive function independent of anatomical or physiological changes; daily step count was associated with attention and executive function (β=0.31, p=0.03) and language ability (β=0.35, p=0.01).…”

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confidence: 99%

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Can activity monitors predict outcomes in patients with heart failure? A systematic review

Tan

Wong

Bakrania

et al. 2018

European Heart Journal - Quality of Care and Clinical Outcomes

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Section: Mortalitysupporting

confidence: 73%

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confidence: 99%

Can activity monitors predict outcomes in patients with heart failure? A systematic review

Tan

Wong

Bakrania

et al. 2018

European Heart Journal - Quality of Care and Clinical Outcomes

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“…The database search yielded 1226 articles; of those, 139 full texts were retrieved, and 59 deemed eligible 10‐67,93 . Hand searching the reference lists of recent reviews identified one additional eligible paper 68 .…”

Section: Resultsmentioning

confidence: 99%

“…Thirty-two papers reported on observational studies, [10][11][12][13]17,18,20,21,[23][24][25]28,33,36,37,[39][40][41]43,44,46,47,50,52,53,56,60,61,[64][65][66]93 12 on randomized controlled trials, [14][15][16]22,32,45,49,55,62,63,67,68 three on quasi-experimental studies, 31,34,38 and eight on validation studies (of those, four were supervised lab-based studies). 27,29,30,35,…”

Section: Study Characteristicsmentioning

confidence: 99%

Advances in accelerometry for cardiovascular patients: a systematic review with practical recommendations

et al. 2020

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Aims Accelerometers are becoming increasingly commonplace for assessing physical activity; however, their use in patients with cardiovascular diseases is relatively substandard. We aimed to systematically review the methods used for collecting and processing accelerometer data in cardiology, using the example of heart failure, and to provide practical recommendations on how to improve objective physical activity assessment in patients with cardiovascular diseases by using accelerometers. Methods and results Four electronic databases were searched up to September 2019 for observational, interventional, and validation studies using accelerometers to assess physical activity in patients with heart failure. Study and population characteristics, details of accelerometry data collection and processing, and description of physical activity metrics were extracted from the eligible studies and synthesized. To assess the quality and completeness of accelerometer reporting, the studies were scored using 12 items on data collection and processing, such as the placement of accelerometer, days of data collected, and criteria for non-wear of the accelerometer. In 60 eligible studies with 3500 patients (of those, 536 were heart failure with preserved ejection fraction patients), a wide variety of accelerometer brands (n = 27) and models (n = 46) were used, with Actigraph being the most frequent (n = 12), followed by Fitbit (n = 5). The accelerometer was usually worn on the hip (n = 32), and the most prevalent wear period was 7 days (n = 22). The median wear time required for a valid day was 600 min, and between two and five valid days was required for a patient to be included in the analysis. The most common measures of physical activity were steps (n = 20), activity counts (n = 15), and time spent in moderate-to-vigorous physical activity (n = 14). Only three studies validated accelerometers in a heart failure population, showing that their accuracy deteriorates at slower speeds. Studies failed to report between one and six (median 4) of the 12 scored items, with non-wear time criteria and valid day definition being the most underreported items. Conclusions The use of accelerometers in cardiology lacks consistency and reporting on data collection, and processing methods need to be improved. Furthermore, calculating metrics based on raw acceleration and machine learning techniques is lacking, opening the opportunity for future exploration. Therefore, we encourage researchers and clinicians to improve the quality and transparency of data collection and processing by following our proposed practical recommendations for using accelerometers in patients with cardiovascular diseases, which are outlined in the article.

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“…There is a relationship between short-term (1-4 weeks) inactivity and increased cardiovascular risk factors, in addition to detrimental effects on cardiovascular function and structure 11) . Furthermore, low intensity PA improves athletic performance, quality of life, and the prognosis of both patients with heart failure and healthy adults [12][13][14] . There are several methods for measuring these physical activities such as self-reported questionnaires, heart rate monitoring, and pedometers [15][16][17][18][19] .…”

Section: Introductionmentioning

confidence: 99%

Impact of the state of emergency enacted due to the COVID-19 pandemic on the physical activity of the elderly in Japan

et al. 2021

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In Japan, the government issued a state of emergency due to the spread of COVID-19 in April 2020. In this study, we measured physical activity before and after the state of emergency, and assessed the factors that affected physical activity. [Participants and Methods] We included thirteen elderly people living in Hiroshima Prefecture, Japan, in the study. The participants wore 3-axis accelerometer on their hips to measure physical activity for a week, before (in October 2019) and after the state of emergency. According to the median rate of decrease in physical activity (23.6%), we divided the participants into two groups: one group had participants with a high rate of decrease (low physical activity) and the other had participants with a low rate of decrease (high physical activity).[Results] The following factors decreased after the state of emergency: total physical activity, amount of moderate-intensity physical activity and activities of daily living, amount of light-intensity physical activity and walking, daily activity time, and daily steps. Statistical analysis showed that engaging in housework was associated with high physical activity. [Conclusion] Elderly people who engaged in household chores had a smaller decrease in physical activity. In order to reduce the decrease in physical activity and the risk of cardiovascular events, the elderly should perform as many daily activities and hobbies as they can while paying attention to the infection control measures.

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Postdischarge Light-Intensity Physical Activity Predicts Rehospitalization of Older Japanese Patients With Heart Failure

Abstract: Low volume of PA postdischarge, especially at 1.5 to 2.9 METs, predicts 6-mo postdischarge HF rehospitalization in older HF patients.

Cited by 11 publications

References 12 publications

Can activity monitors predict outcomes in patients with heart failure? A systematic review

Can activity monitors predict outcomes in patients with heart failure? A systematic review

Advances in accelerometry for cardiovascular patients: a systematic review with practical recommendations

Impact of the state of emergency enacted due to the COVID-19 pandemic on the physical activity of the elderly in Japan

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