Seasonal Variation of Daily Physical Activity in Individuals with Heart Failure

Shoemaker, Michael J; Roper, S; Calkins, Tonya N.

doi:10.5301/heartint.5000231

Cited by 11 publications

(19 citation statements)

References 16 publications

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“…Our study showed that daily step was lower by 27% in the winter season compared with the spring season. These findings are consistent with previous studies that showed the association between daily PA and the season [8,[27][28][29][30]. Those studies observed that PA decreased during the winter season in healthy adults [8] and elderly subjects [29].…”

Section: Discussionsupporting

confidence: 93%

“…In the spline regression models, the relationship between wind chill temperature and daily steps was linear below 25 • C wind chill temperature, with lower daily steps corresponding to colder temperatures. This is similar to the previous findings [30,39]. The wind chill temperature used in our study is likely to be more closely related to patients' PA behavior compared to absolute temperature, as the wind chill temperature is a quantitative measure of the heat or cold that the human body feels, calculated based on air temperature and wind velocity [40].…”

Section: Discussionsupporting

confidence: 88%

“…This phenomenon was profoundly observed in patients with lung and heart diseases. In COPD patients, the daily step count reduced by 43.3 steps/day/ • C in the winter season [27], and in heart failure patients, there was a significant seasonal variation in activity between summer and winter ranging from 13.78% to 20.69% [30]. In addition, the odds of walking more than 8000 steps or having more than 60 min MVPA per day in winter is around 0.5 compared to those in spring.…”

Section: Discussionmentioning

confidence: 98%

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Seasonal Variation in Physical Activity among Preoperative Patients with Lung Cancer Determined Using a Wearable Device

Kong

Park

Kang

et al. 2020

JCM

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We aim to examine how season and temperature levels affect physical activity using a wearable device among patients scheduled to undergo surgical resection of lung cancer. Physical activity (PA) data from the wearable device were analyzed by seasons for 555 preoperative lung cancer patients from the CATCH-LUNG cohort study. The seasons were divided into spring, summer, autumn, and winter using the study enrollment date before surgery. The overall mean (SD) age was 61.1 (8.9) years, and the mean (SD) daily steps at each season were 11,438 (5922), 11,147 (5065), 10,404 (4403), and 8548 (4293), respectively. In the fully-adjusted models, patients in the winter season had 27.04% fewer daily steps (95% CI = −36.68%, −15.93%) and 35.22% less time spent performing moderate to vigorous physical activity (MVPA) compared to patients in the spring. The proportion of participants with over 8000 steps and duration of MVPA were significantly lower in the winter than the spring. In particular, daily steps had a negative linear association with wind chill temperature in patients who lived in Seoul. In conclusion, PA was significantly lower in the winter and it was more robust in patients who had a low cardiorespiratory function.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 98%

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Seasonal Variation in Physical Activity among Preoperative Patients with Lung Cancer Determined Using a Wearable Device

Kong

Park

Kang

et al. 2020

JCM

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“…D‐PA data are increasingly being used to understand patterns of activity engagement after ICD implantation; however, investigators have varied in the approach taken to calculate the baseline level of D‐PA, making it difficult to compare findings across studies. In some studies, baseline is defined as average activity over a period of several days, 1 to 2 weeks after CIED implantation, to account for procedural recovery time; in other studies, baseline is defined as average activity over 7 to 30 days, 1 to 2 months after implantation .…”

Section: Resultsmentioning

confidence: 99%

Measuring Physical Activity With Implanted Cardiac Devices: A Systematic Review

Rosman

Lampert

Sears

et al. 2018

JAHA

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BackgroundPhysical activity is predictive of cardiovascular outcomes in patients with cardiovascular implantable electronic devices, yet it is not regularly assessed in routine care. Current‐generation cardiovascular implantable electronic devices, however, continuously monitor patient activity through a built‐in accelerometer, which provides new opportunities to remotely assess patient activity, detect changes in clinical status, and incorporate these data in risk stratification models. This review critically examines the literature on device‐measured physical activity (D‐PA), with a focus on identifying methodological issues that may affect interpretation of study results.Methods and ResultsWe conducted a systematic review of D‐PA studies published from January 1 1995 to December 30 2017, identifying 29 studies meeting inclusion criteria, 5 of which were validation reports. Few technical details about D‐PA sensors are reported, and procedures for analyzing and interpreting D‐PA data are heterogeneous. Trends in D‐PA over time and associations with clinical outcomes were reported by 22 studies, and in 7 studies, D‐PA was combined with other device parameters in risk stratification models, demonstrating modest‐to‐good sensitivity in predicting acute heart failure decompensation, hospitalization, and mortality.ConclusionsCurrent evidence suggests that D‐PA may be useful for assessing physical activity and predicting clinical outcomes in patients with cardiovascular implantable electronic devices when combined with other device parameters. Future work must address challenges related to D‐PA data measurement, interpretation, and generalizability to support expanded clinical applications of this technology.

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“…Sob os pontos de vista físico e fisiológico, o envelhecimento caracteriza-se por uma degeneração gradual e progressiva dos órgãos, tecidos e metabolismo, acarretando a atenuação de suas funções [3]. Sabe-se que a debilidade do organismo no combate às enfermidades é acentuada pelos fatores sazonais, geralmente acarretando um aumento na procura por serviços de saúde durante os períodos frios do ano [3][4][5][6][7].…”

Section: Introductionunclassified

Perfil de idosos admitidos em serviço de fisioterapia frente à sazonalidade

Rossi

Farche

Ansai

et al. 2017

Sci Med

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*** Profile of elderly admitted to a physical therapy center as a function of seasonality ***AIMS: To analyze the profile and the prevalence of diseases in elderly patients admitted to a physical therapy center in a medium-sized Brazilian city located in a subtropical zone in two different seasons of the year.METHODS: A cross-sectional study assessed the medical records of patients treated during summer and winter months in 2011. Medical records of male and female elderly patients (aged over 60 years) were included, and those without information on present medical diagnosis were excluded. Age and sex and both current and previous diagnostic records were analyzed. The chi-square test was used for the comparative analysis of the profile of the elderly patients for both seasons.RESULTS: Seventy-one medical records were analyzed. The mean age was 69.2±8.1 years and 48 (70.4%) patients were female. There was a higher prevalence of trauma-orthopedic diseases (60.6%). The greatest number of admissions was in winter (62.0%). At the time of referral, there were 17 cases (63.0%) of trauma-orthopaedic diseases in summer and 26 (59.1%) in winter; 3 cases (11.1%) of rheumatologic diseases in summer and 10 (22.7%) in winter; 5 cases (18.5%) of neurologic disorders in summer and 4 (9.1%) in winter; and 2 cases (7.4%) of postoperative complications in summer and 4 (9.1%) in winter (p=0.64).CONCLUSIONS: There was a greater demand for referrals of elderly patients to the physical therapy center in winter than in summer, with a predominance of female patients in both seasons. The most prevalent causes of referral were related to trauma-orthopaedic diseases, but there was no significant difference in the frequency of diagnoses according to season. Knowledge about the profile of the elderly admitted to physical therapy centers is important for targeting actions at this age group, conducting information, prevention, and health promotion campaigns.

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Seasonal Variation of Daily Physical Activity in Individuals with Heart Failure

Cited by 11 publications

References 16 publications

Seasonal Variation in Physical Activity among Preoperative Patients with Lung Cancer Determined Using a Wearable Device

Seasonal Variation in Physical Activity among Preoperative Patients with Lung Cancer Determined Using a Wearable Device

Measuring Physical Activity With Implanted Cardiac Devices: A Systematic Review

Perfil de idosos admitidos em serviço de fisioterapia frente à sazonalidade

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