Are Reallocations between Sedentary Behaviour and Physical Activity Associated with Better Sleep in Adults Aged 55+ Years? An Isotemporal Substitution Analysis

Physical activity has been proposed as an effective alternative treatment option for the increasing occurrence of sleep problems in older adults. Although higher physical activity levels are associated with better sleep, the association between specific physical activity intensities and sedentary behaviour (SB) with sleep remains unclear. This study examines the associations of statistically modelled time reallocations between sedentary time and different physical activity intensities with sleep outcomes using isotemporal substitution analysis. Device-measured physical activity data and both objective and subjective sleep data were collected from 439 adults aged 55+ years. Replacing 30 min of SB with moderate to vigorous intensity physical activity (MVPA) was significantly associated with an increased number of awakenings. Moreover, a reallocation of 30 min between light physical activity (LPA) and MVPA was significantly associated with increased sleep efficiency. Furthermore, reallocating 30 min of SB to LPA showed a significant association with decreased sleep efficiency. There were no significant associations of time reallocations for wake time after sleep onset, length of awakenings, and sleep quality. These results improve our understanding of the interrelationships between different intensities of movement behaviours and several aspects of sleep in older adults.

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Day-to-day and longer-term longitudinal associations between physical activity, sedentary behavior, and sleep in children

SLEEP ◽

10.1093/sleep/zsaa219 ◽

2020 ◽

Author(s):

Devan Antczak ◽

Taren Sanders ◽

Borja del Pozo Cruz ◽

Philip Parker ◽

Chris Lonsdale

Keyword(s):

Physical Activity ◽

Primary Schools ◽

Fixed Effects ◽

Vigorous Physical Activity ◽

Sleep Onset ◽

Sleep Efficiency ◽

Night Time ◽

Wake Time ◽

Time In Bed ◽

Longitudinal Associations

Abstract Study Objectives To determine the day-to-day and longer-term longitudinal associations between daytime physical activity and night-time sleep. Methods We used data from a 2-year longitudinal study which included three time points (i.e. baseline, year 1, and year 2). Participants were recruited from primary schools and included 1059 children (50% girls) with a mean age of 8.81-years-old (SD = 0.72) at baseline. Sleep variables included sleep duration, sleep efficiency, time in bed, sleep onset, and wake time. Physical activity variables included light, moderate, moderate-to-vigorous, and vigorous physical activity as well as sedentary time. We objectively assessed physical activity and sleep behaviors using the GENEActiv wrist-worn accelerometer over an 8-day period at each timepoint for a potential 21 190 observed days. Results We used fixed-effects multilevel models and parallel latent growth curve modeling to examine day-to-day and longer-term associations, respectively. Day-to-day, physical activity, and sleep variables were significantly, positively, and bidirectionally associated, except for sleep efficiency, which showed little association with physical activity. Longer-term, we found little association between physical activity and sleep variables. Conclusions Overall, our findings indicate that there is a day-to-day association between the amount of time spent being physically active and improved sleep. The lack of a longer-term association indicates that a focus on children’s daily behavior may be most appropriate to help children improve sleep and increase physical activity.

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Physical activity levels are associated with sleep efficiency and cerebral blood flow in healthy older adults

Alzheimer s & Dementia ◽

10.1002/alz.044171 ◽

2020 ◽

Vol 16 (S10) ◽

Author(s):

Laura E Fenton ◽

Daniel Albrecht ◽

Lisette Isenberg ◽

Vahan Aslayan ◽

Joy Stradford ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Blood Flow ◽

Cerebral Blood Flow ◽

Sleep Efficiency ◽

Activity Levels ◽

Healthy Older Adults ◽

Physical Activity Levels

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Importance of characterising sleep breaks within the 24-h movement behaviour framework

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01241-5 ◽

2022 ◽

Vol 19 (1) ◽

Author(s):

Séverine Sabia ◽

Manasa Shanta Yerramalla ◽

Teresa Liu-Ambrose

Keyword(s):

Physical Activity ◽

Sedentary Behaviour ◽

Vigorous Physical Activity ◽

Sleep Onset ◽

Body Part ◽

The Body ◽

Activity Levels ◽

Movement Behaviour ◽

Night Time ◽

Research Fields

AbstractAccelerometers measure the acceleration of the body part they are attached and allow to estimate time spent in activity levels (sedentary behaviour, light, and moderate-to-vigorous physical activity) and sleep over a 24-h period for several consecutive days. These advantages come with the challenges to analyse the large amount of data while integrating dimensions of both physical activity/sedentary behaviour and sleep domains. This commentary raises the questions of 1) how to classify sleep breaks (i.e. wake after sleep onset) during the night within the 24-h movement behaviour framework and 2) how to assess their impact on health while also accounting for night time sleep duration and time in sedentary behaviour and physical activity during the day. The authors advocate for future collaborations between researchers from the physical activity/sedentary behaviour and sleep research fields to ensure appropriate analysis and interpretation of the tremendous amount of data recorded by the newer generation accelerometers. This is the only way forward to provide meaningfully accurate evidence to inform future 24-h movement behaviour guidelines.

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Changes in physical activity, sedentary behaviour and body composition: longitudinal analysis in the PREDIMED-Plus trial

10.21203/rs.3.rs-44115/v1 ◽

2020 ◽

Author(s):

Aina M Galmes-Panades ◽

Jadwiga Konieczna ◽

Veronica Varela-Mato ◽

Itziar Abete ◽

Nancy Babio ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Metabolic Syndrome ◽

Body Composition ◽

Sedentary Behaviour ◽

Body Fat ◽

Controlled Trial ◽

Activity Levels ◽

Tv Viewing ◽

Prospective Association

Abstract Background:The optimal distribution between physical activity (PA) levels and sedentary behaviour (SB) for the greatest benefits for body composition among older adults with overweight/obesity and chronic health conditions remains unclear. We aimed to determine the prospective association between changes in PA and in SB with concurrent changes in body composition. To examine whether reallocating inactive time into different physical activity levels was associated with 12-month change to body composition in older adults.Methods: A subsample (n=1564) of men and women (age: 55-75 years) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus trial was included in the present analysis. Participant’s were followed-up at 6- and 12-months. Physical Activity and SB were assessed using validated questionnaires. Out of 1564 participants, 388 wore an accelerometer to objectively measure inactive time and PA over a 7-day period. At each time point, participants body composition was measured using dual-energy X-ray absorptiometry (DXA). Standard covariate-adjusted and isotemporal substitution modelling were applied to linear mixed-effects models.Results:Increasing 30 minute of total PA and MVPA were associated with significant reductions in body fat (β -0.07% and -0.08%) and VAT (-13.9g, and -15.6g) at 12-months (all p-values <0.001). Reallocating 30 minute of inactive time to MVPA was associated with reductions in body fat and VAT, and with an increase in muscle mass and muscle-to-fat mass ratio (all p-values <0.001).Conclusions:At 12 months, increasing total PA and MVPA and reducing total and TV-viewing SB were associated with improved body composition in participants with overweight or obesity, and metabolic syndrome. This was also observed when reallocating 30 minute of inactive time by total PA, LPA and MVPA, with the greatest benefits observed for MVPA.Trial registration: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.

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Older adults’ construal of sedentary behaviour: Implications for reducing sedentary behaviour in older adult populations

Journal of Health Psychology ◽

10.1177/1359105320909870 ◽

2020 ◽

pp. 135910532090987 ◽

Cited By ~ 1

Author(s):

Laura J McGowan ◽

Rachael Powell ◽

David P French

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behaviour ◽

Vigorous Physical Activity ◽

Community Dwelling ◽

Activity Levels ◽

Structured Interviews ◽

Physically Active ◽

North West ◽

Health Related

Older adults are the most sedentary age group, with sedentary behaviour having negative health-related consequences. There is currently limited understanding of how older adults view sedentary behaviour. This study investigated older adults’ understanding of the concept of sedentary behaviour. Semi-structured interviews were conducted with 22 community-dwelling older adults in urban North-West England, selected to be diverse in socio-economic background and activity levels. Interviews were recorded and transcribed verbatim. An inductive thematic analysis was conducted. Participants often construed sedentary behaviour as synonymous with a lack of physical activity, and many perceived reducing sedentary behaviour and increasing moderate-to-vigorous physical activity to be the same thing. Participants perceived the term ‘sedentary’ to have negative connotations and were often judgemental of people who engaged in high levels of sedentary behaviour. Most participants considered reducing sedentary behaviour to be of value, though more active individuals were unconvinced that reducing sedentary behaviour has value beyond the benefits of being physically active. Interventions may wish to provide education to address the misconception that increasing moderate-to-vigorous physical activity is necessary in order to reduce sedentary behaviour. Educating older adults on the independent health consequences of sedentary behaviour may also prove beneficial.

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Habitual Physical Activity and Diabetes Control in Young and Older Adults with Type II Diabetes: A Longitudinal Correlational Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18031330 ◽

2021 ◽

Vol 18 (3) ◽

pp. 1330

Author(s):

Chia-Hsun Chang ◽

Ching-Pyng Kuo ◽

Chien-Ning Huang ◽

Shiow-Li Hwang ◽

Wen-Chun Liao ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Type Ii Diabetes ◽

Daily Physical Activity ◽

Diabetes Control ◽

Moderate Intensity ◽

Correlational Study ◽

Activity Levels ◽

Daily Physical Activities ◽

Activity Questionnaire

This study aimed to determine whether daily physical activity in young and older adults with T2DM is associated with diabetes control. A prospective correlational study involving 206 young (≤65 years) and older (>65 years) adults was conducted. The International Physical Activity Questionnaire was used to assess their daily physical activity levels. Patients’ mean HbA1c level was 7.8% (±1.4), and 95.9% of patients had unsatisfactory diabetes control. Performing more minutes per week of moderate-intensity daily physical activity was associated with a lower risk of glycemia in both young and older adults. Furthermore, moderate daily physical activity significantly lowered the risk of glycemia. Health personnel must encourage patients to engage in moderate daily physical activities to improve diabetes control.

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

BMC Geriatrics ◽

10.1186/s12877-020-01856-6 ◽

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.

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Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01157-0 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Manasa S. Yerramalla ◽

Duncan E. McGregor ◽

Vincent T. van Hees ◽

Aurore Fayosse ◽

Aline Dugravot ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behaviour ◽

Cox Regression ◽

Vigorous Physical Activity ◽

Movement Behaviour ◽

Cvd Risk ◽

Daily Movement ◽

Intensity Physical Activity ◽

Current Duration

Abstract Background Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behaviour (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement behaviours as independent entities ignoring their co-dependency. This study examines the association between daily composition of objectively-assessed movement behaviours (MVPA, LIPA, SB) and incident CVD in older adults. Methods Whitehall II accelerometer sub-study participants free of CVD at baseline (N = 3319, 26.7% women, mean age = 68.9 years in 2012–2013) wore a wrist-accelerometer from which times in SB, LIPA, and MVPA during waking period were extracted over 7 days. Compositional Cox regression was used to estimate the hazard ratio (HR) for incident CVD for daily compositions of movement behaviours characterized by 10 (20 or 30) minutes greater duration in one movement behaviour accompanied by decrease in another behaviour, while keeping the third behaviour constant, compared to reference composition. Analyses were adjusted for sociodemographic, lifestyle, cardiometabolic risk factors and multimorbidity index. Results Of the 3319 participants, 299 had an incident CVD over a mean (SD) follow-up of 6.2 (1.3) years. Compared to daily movement behaviour composition with MVPA at recommended 21 min per day (150 min/week), composition with additional 10 min of MVPA and 10 min less SB was associated with smaller risk reduction – 8% (HR, 0.92; 95% CI, 0.87–0.99) – than the 14% increase in risk associated with a composition of similarly reduced time in MVPA and more time in SB (HR, 1.14; 95% CI, 1.02–1.27). For a given MVPA duration, the CVD risk did not differ as a function of LIPA and SB durations. Conclusions Among older adults, an increase in MVPA duration at the expense of time in either SB or LIPA was found associated with lower incidence of CVD. This study lends support to public health guidelines encouraging increase in MVPA or at least maintain MVPA at current duration.

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