scholarly journals Tossing and turning: association of sleep quantity–quality with physical activity in COPD

2020 ◽  
Vol 6 (4) ◽  
pp. 00370-2020
Author(s):  
Raquel Pastrello Hirata ◽  
Daniele Caroline Dala Pola ◽  
Lorena Paltanin Schneider ◽  
Mariana Pereira Bertoche ◽  
Karina Couto Furlanetto ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Onset ◽  
Physically Active ◽  
Walking Test ◽  
Sleep Quantity ◽  
Time In Bed ◽  
Vigorous Intensity ◽  
Active Patients ◽  
Physically Inactive

The association between characteristics of sleep and physical activity in daily life (PADL) has not yet been investigated in depth in subjects with COPD. This study evaluated whether time spent per day in physical activity (PA) and sedentary behaviour are associated with sleep quantity and quality in this population.Sleep and PADL were objectively assessed by an activity monitor for 7 days and analysed on a minute-by-minute basis. Subjects also underwent spirometry and 6-min walking test (6MWT).Fifty-five subjects with moderate-to-severe COPD (28 male, 67±8 years) were studied. Subjects with total time in bed (TIB) per night ≥9 h had higher wake-after-sleep onset than TIB 7–9 h and TIB ≤7 h (195 (147–218) versus 117 (75–167) and 106 (84–156) min) and more fragmented sleep than TIB ≤7 h (8.2 (6.7–14.3) versus 6.3 (5.6–6.9) sleeping bouts; p<0.05 for all). Subjects with TIB ≥9 h also spent more time per day in sedentary behaviour and less time per day in PA of light and moderate-to-vigorous intensity than those with TIB 7–9 h and ≤7 h. In multiple linear regression, TIB ≥9 h was the only significant predictor of physical inactivity (β=−3.3 (−5.1, −1.6), p≤0.0001), accounting for 20% of its variation. Sleep fragmentation was frequent and more pronounced in physically inactive than active patients (7.5 (6.3–9.6) versus 6.4 (5.5–7.3) sleeping bouts; p=0.027).In summary, subjects with COPD with TIB ≥9 h·night−1 have more fragmented sleep, are more sedentary and less physically active than those with <9 h·night−1, independently of the awake time. Sleep quality is frequently poor and even worse in patients classified as physically inactive.

Predictivity of International Physical Activity Questionnaire Short Form for 5-Year Incident Disability Among Japanese Older Adults

2021 ◽  
pp. 1-5
Author(s):  
Satoshi Kurita ◽  
Takehiko Doi ◽  
Kota Tsutsumimoto ◽  
Sho Nakakubo ◽  
Hideaki Ishii ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
International Physical Activity Questionnaire ◽  
Short Form ◽  
Physically Active ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Japanese Older Adults ◽  
Activity Questionnaire ◽  
Physically Inactive

Background: This study aimed to examine whether physical activity measured using the International Physical Activity Questionnaire Short Form (IPAQ-SF) can predict incident disability in Japanese older adults. Methods: Community-dwelling older adults participated in a prospective cohort survey. The time spent in moderate- to vigorous-intensity physical activity was assessed at the survey baseline using the IPAQ-SF. The participants were categorized into those who spent ≥150 minutes per week (physically active) or <150 minutes per week (physically inactive) in moderate- to vigorous-intensity physical activity. Incident disability was monitored through Long-Term Care Insurance certification during a follow-up lasting 5 years. Results: Among the 4387 analyzable participants (mean age = 75.8 y, 53.5% female), the IPAQ-SF grouped 1577 (35.9%) and 2810 (64.1%) participants as those who were physically active and inactive, respectively. A log-rank test showed a significantly higher incidence of disability among the inactive group of participants (P < .001). The Cox proportional hazards model showed that physically inactive participants had a higher risk of incident disability than the physically active ones did, even after adjusting for covariates (hazard ratio, 1.24; 95% CI, 1.07–1.45, P < .001). Conclusions: Older adults identified as physically inactive using the IPAQ-SF had a greater risk of developing disabilities than those identified as physically active. The IPAQ-SF seems to be appropriate to estimate the incidence risk of disability.

scholarly journals IMPACT OF PHYSICAL ACTIVITY ON FATIGUE AND QUALITY OF LIFE OF CANCER PATIENTS

2020 ◽  
Vol 26 (6) ◽  
pp. 498-502
Author(s):  
Antonio Filipe Pereira Caetano ◽  
Diego Augusto Santos Silva ◽  
Priscila Custódio Martins ◽  
José Jean de Oliveira Toscano
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cancer Patients ◽  
University Hospital ◽  
Level Of Evidence ◽  
Cross Sectional ◽  
Physically Active ◽  
Active Patients ◽  
Physically Inactive

ABSTRACT Introduction: Physical exercise has been considered an important non-pharmacological treatment for reducing tiredness, pain, low self-esteem and increases in body mass in individuals diagnosed with cancer. Objective: To verify the relationship between fatigue, quality of life and levels of physical activity in cancer patients undergoing chemotherapy. Methods: Observational, cross-sectional study. The sample consisted of 85 adult patients undergoing cancer treatment at a university hospital. Physical activity was assessed by the IPAQ, and fatigue and quality of life by the PFS and EORTC QLQ-C30 questionnaires, respectively. Student's t and the Fisher's Exact tests were used to identify differences between active and physically inactive patients for the variables fatigue and quality. Additionally, covariance analysis (ANCOVA) was used, in which simple (outcome and exposure) and adjusted models (age, time of diagnosis and type of cancer) were tested. Results: The study included 85 cancer patients, with a mean of 51.78 years of age (±11.72). Most were female and not physically active. Patients classified as physically inactive had higher scores for “total fatigue” (p=0.01), “behavioral” (p=0.01), “affective” (p=0.02) and psychological/sensory fatigue (p=0.04), compared to the physically active patients (p=0.01). Patients classified as physically not very active presented poorer quality of life in the dimensions: “overall” quality of life (p=0.05) and “functional” (p=0.04), “appetite” (p=0.02), “insomnia” (p=0.0 2), “diarrhea” (p=0.04), “fatigue” (p=0.01), “pain” (p=0.01) and “nausea” (p=0.03), when compared to the physically active patients in both analyses; simple and adjusted. Conclusion: The practice of physical activity during treatment can be a determining factor for increasing quality of life and reducing fatigue in cancer patients, minimizing the adverse effects of chemotherapy. Level of evidence II; retrospective study.

scholarly journals Dose-response association between physical activity and sedentary time categories on ageing biomarkers

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Asier Mañas ◽  
Borja del Pozo-Cruz ◽  
Irene Rodríguez-Gómez ◽  
Javier Leal-Martín ◽  
José Losa-Reyna ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Function ◽  
Sedentary Behaviour ◽  
Dose Response ◽  
Sedentary Time ◽  
Movement Patterns ◽  
World Health ◽  
Physically Active ◽  
Physically Inactive

Abstract Background Physical activity and sedentary behaviour have been suggested to independently affect a number of health outcomes. To what extent different combinations of physical activity and sedentary behaviour may influence physical function and frailty outcomes in older adults is unknown. The aim of this study was to examine the combination of mutually exclusive categories of accelerometer-measured physical activity and sedentary time on physical function and frailty in older adults. Methods 771 older adults (54% women; 76.8 ± 4.9 years) from the Toledo Study for Healthy Aging participated in this cross-sectional study. Physical activity and sedentary time were measured by accelerometry. Physically active was defined as meeting current aerobic guidelines for older adults proposed by the World Health Organization. Low sedentary was defined as residing in the lowest quartile of the light physical activity-to-sedentary time ratio. Participants were then classified into one of four mutually exclusive movement patterns: (1) ‘physically active & low sedentary’, (2) ‘physically active & high sedentary’, (3) ‘physically inactive & low sedentary’, and (4) ‘physically inactive & high sedentary’. The Short Physical Performance Battery was used to measure physical function and frailty was assessed using the Frailty Trait Scale. Results ‘Physically active & low sedentary’ and ‘physically active & high sedentary’ individuals had significantly higher levels of physical function (β = 1.73 and β = 1.30 respectively; all p < 0.001) and lower frailty (β = − 13.96 and β = − 8.71 respectively; all p < 0.001) compared to ‘physically inactive & high sedentary’ participants. Likewise, ‘physically inactive & low sedentary’ group had significantly lower frailty (β = − 2.50; p = 0.05), but significance was not reached for physical function. Conclusions We found a dose-response association of the different movement patterns analysed in this study with physical function and frailty. Meeting the physical activity guidelines was associated with the most beneficial physical function and frailty profiles in our sample. Among inactive people, more light intensity relative to sedentary time was associated with better frailty status. These results point out to the possibility of stepwise interventions (i.e. targeting less strenuous activities) to promote successful aging, particularly in inactive older adults.

scholarly journals ARE THERE DIFFERENCES BETWEEN MALE AND FEMALE BADMINTON ATHLETES IN SLEEP, PHYSICAL ACTIVITY AND SEDENTARY TIME?

2021 ◽  
Vol 27 (2) ◽  
pp. 174-178
Author(s):  
Arilene Maria da Silva Santos ◽  
Sérgio Luiz Galan Ribeiro ◽  
Antônio Valdeci Marreiro de Sousa Junior ◽  
Dionis de Castro Dutra Machado ◽  
Paula Alves Monteiro ◽  
...  
Keyword(s):  
Physical Activity ◽  
Female Athletes ◽  
Sedentary Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Control Group ◽  
Vigorous Activity ◽  
Sleep Quantity ◽  
Time In Bed ◽  
Or Groups

ABSTRACT Introduction: High-performance athletes often undergo periods of exhaustive training and insufficient recovery, which can lead to decreased performance, but it is not clear whether there are any differences between the sexes in the level of habitual physical activity, sedentary time or sleep quantity and quality in young highly trained badminton athletes. Objectives: The aim of this study was to compare the habitual physical activity (PA), sedentary time and sleep quantity and quality of highly trained young male and female badminton athletes and non-athletes. Methods: Twenty-seven young badminton athletes and twenty-one non-athletes (control group) were recruited. Sleep duration and quality (total time in bed, total sleep time, wake after sleep onset, sleep efficiency and latency), total counts, vigorous activity time and sedentary time were measured using a tri-axial accelerometer. Results: Male athletes spent less sedentary time (p=0.028), more time in vigorous activity (p=0.016) and had higher total counts (p<0.001) than the male control group. There were no significant differences in sedentary time (p=0.702) or vigorous activity time (p=0.205) between the female athletes and non-athletes, but the female athletes accumulated higher total counts than the female control group (p=0.003). There were no significant differences between the sexes or groups for time in bed, total sleep time, sleep efficiency, wake after sleep onset and latency (p> 0.05). Conclusion: Among males but not females, young highly trained badminton athletes had less sedentary time and more time in vigorous activity than the non-athletes, however, there were no significant differences between the sexes or groups in sleep quantity and quality. Level of evidence III; Case-control study .

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

Abstract P234: Associations of Clinical Characteristics and Health-related Behaviors With Physical Activity Levels in Stage B Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Clinical Characteristics ◽  
Well Being ◽  
Physically Active ◽  
Heart Failure Patients ◽  
Health Related Behaviors ◽  
Health Related ◽  
Active Patients

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.

scholarly journals Invest in physical activity to protect and promote health: the 2020 WHO guidelines on physical activity and sedentary behaviour

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Hidde P. van der Ploeg ◽  
Fiona C. Bull
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Research Priorities ◽  
World Health ◽  
Paradigm Shifts ◽  
Physically Active ◽  
The Sustainable Development ◽  
Development Agenda ◽  
New Guidelines ◽  
Health Organization

AbstractIn this editorial we discuss the new 2020 World Health Organization guidelines on physical activity and sedentary behaviour and a series of related papers that are published simultaneously in IJBNPA. The new guidelines reaffirm that physical activity is a ‘best buy’ for public health and should be used to support governments to increase investment in policy and research to promote and ensure physical activity opportunities are available for everyone. New recommendations on sedentary behaviour and inclusion of specific guidelines for people living with disability and/or chronic disease and pregnant and postpartum women are major developments since 2010. We discuss research priorities, as well as policy implementation and the contribution to the sustainable development agenda. The new guidelines can catalyse the paradigm shifts needed to enable equitable opportunities to be physically active for everyone, everywhere, every day.

Readiness to change level of physical activity in leisure time among physically inactive Danish adults

2009 ◽  
Vol 37 (8) ◽  
pp. 785-792 ◽  
Author(s):  
Pia V. Pedersen ◽  
Mette Kjøller ◽  
Ola Ekholm ◽  
Morten Grønbæk ◽  
Tine Curtis
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Leisure Time ◽  
Readiness To Change ◽  
Multiple Correspondence Analysis ◽  
Physically Active ◽  
Danish Health ◽  
The Family ◽  
Interview Survey ◽  
Physically Inactive

Aims: The study examined readiness to change the level of physical activity in leisure time among physically inactive adults, the sociodemographic, lifestyle-related and social factors associated with readiness to change, and finally the various kinds of help to become more physically active required by people who are ready to change and by those not ready to change. Materials and methods: Data were derived from the national representative Danish Health Interview Survey 2005 and included 9,160 physically inactive persons between 16 and 79 years of age. Data were analysed using multiple logistic regression and multiple correspondence analysis. Results: In all, 52 % of the physically inactive respondents stated they were ready to change their level of physical activity. Men had higher odds of being ready to change than women. Readiness to change decreased with age and increased with increasing levels of education. Those ready to change led an active and social lifestyle characterized by considerable health-oriented engagement, while the opposite characterised those not ready to change. Those ready to change wanted help to become more physically active in the form of e.g. opportunities for physical activity at work or help and support from the family. Those not ready to change wanted help from a general practitioner or did not want help at all. Conclusions: Those ready to change and those not ready to change were characterized by very different sociodemographic, lifestyle-related and social factors. This knowledge will benefit prevention initiatives and elucidates the necessity of targeting the initiatives.

Inmates’ physical activity as part of the health ecology

Open Medicine ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. 679-684 ◽  
Author(s):  
Vidmantas Vaiciulis ◽  
Saulius Kavaliauskas ◽  
Ricardas Radisauskas
Keyword(s):  
Physical Activity ◽  
Social Skills ◽  
Secondary Education ◽  
Self Esteem ◽  
Psychological State ◽  
Cross Sectional ◽  
Physically Active ◽  
Study Results ◽  
Sports Activities ◽  
Physically Inactive

AbstractTo evaluate the possibilities of physical activity in developing inmates’ healthy lifestyle and social skills. The research, which was conducted in 2009 in Pravieniskes First and Second Correction Houses, was local and cross-sectional using a written questionnaire. The questionnaire consisted of four groups of questions/statements: I — demographic questions; II — questions/statements about inmates’ physical (sports) activities (was created for this study) and III — assessment of inmates’ social skills. And IV — assessment of inmates’ self esteem. Sufficiently physically active inmates (n=185) comprised 57.8 percent of the total number of respondents. Inmates’ physical activity statistically significantly (p<0.05) correlates with their younger age. Secondary education is prevailing in the group of physically active inmates, while primary — lower secondary education predominates in the group of physically inactive inmates (n=135). Only less than 6 percent of inmates have higher education. The average age of physically active inmates is statistically significantly lower than that of physically inactive inmates, 26 and 31.6 years respectively (p=0.01). The analysis of inmates’ contentment with their psychological state and satisfaction with health care services, food quality, and conditions for sports activities showed that physically active inmates are more critical about these factors than physically inactive inmates. Only the contentment with psychological state in physically active inmates is statistically significantly higher than in inactive inmates. Out of eleven social skills assessed in the study, only two skills (ability to initiate conversation with a stranger and sense of responsibility) are statistically significant (p<0.05). The probability that the convicts who have a strong sense of responsibility tend to be more physically active than the inmates who do not consider themselves responsible is 7.4 times higher. The study results showed that self-esteem in physically active inmates is statistically significantly higher that in physically inactive inmates (p=0.033). Low self-esteem was not determined in any inmates.

Influence of Movement Intensity and Physical Activity on Adiposity in Youth

2011 ◽  
Vol 8 (2) ◽  
pp. 164-173 ◽  
Author(s):  
Amy E. Mark ◽  
Ian Janssen
Keyword(s):  
Physical Activity ◽  
Activity Level ◽  
Physical Activity Intensity ◽  
Physically Active ◽  
Activity Intensity ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Total Fat ◽  
Total Body ◽  
Percentile Scores

Background:Despite the plethora of research examining the physical activity-adiposity relation in youth, questions remain regarding the ideal intensity. Therefore, the purpose of this study was to explore the independent effects of physical activity intensity and incidental movement on total and trunk adiposity.Methods:The sample consisted of 1165 youth aged 8 to 17 years from the 2003−04 U.S. National Health and Nutrition Examination Survey. Physical activity (low, moderate, vigorous intensity) and incidental movement (activity level when not physically active) were measured using Actigraph accelerometers over 7 days. Total body and trunk fat were measured using dual-energy X-ray absorptiometry; age- and sex-specific percentile scores were calculated.Results:Bivariate analyses revealed an inverse relation between total, low, moderate and vigorous intensity physical activity with total body and trunk fat. After consideration of the total volume of physical activity in the multivariate analyses, moderate-to-vigorous intensity physical activity remained significantly related to total and trunk fat. Participants with the highest (top 12.5%) moderate-to-vigorous intensity activity values had total fat percentile scores that were 34 points lower than participants with the lowest (bottom 25%) values.Conclusion:These results are consistent with public health guidelines which recommend that children and youth participate in moderate-to-vigorous intensity physical activity.

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