Sedentary behaviour and sleep quality

BackgroundThe evidence regarding the unique effect of sedentary behaviour on obesity among children is unclear. Moreover, the effect of substituting sedentary behaviour with physical activity of different intensities on the body composition of children has received limited empirical study.ObjectiveTo examine the mathematical effects on Body Mass Index (BMI) of substituting sedentary behaviours with physical activities of different intensities on children and youth aged 5–14 years old in New Zealand.MethodsSecondary analysis of accelerometer data from the National Survey of Children and Young People’s Physical Activity and Dietary Behaviours in New Zealand (2008/09) was conducted. A total of 1812 children and youth aged 5–24 years provided accelerometer-derived data on daily sedentary time (SB), light intensity physical activity (LPA) and moderate to vigorous physical activity (MVPA). Sleep time was assessed with a validated computerised use-of-time tool. BMI was assessed using anthropometric measurements. Multiple linear regression models were used to examine the independent associations of SB, Sleep time, LPA, and MVPA on BMI. The isotemporal substitution approach was used to ascertain the mathematical effect of substituting each of the other behaviours on BMI. Analyses were stratified by age groups.ResultsSB showed a unique (inverse) association with BMI across all age groups (p<0.05) but 20–24 years (p>0.05). Similarly, MVPA was positively associated (p<0.001) across all age groups. Among age groups 5–9 years, 10–14 years and 15–19 years, the estimated impact of replacing 60 min/day of SB with the same amount of MVPA time resulted in decreased BMI for all age groups (p<0.001), ranging from -1.26 (5–9 years) to -1.43 units (15–19 years). Similar results were achieved when SB was replaced with LPA or sleeping time for children (5–19 years). In young people (age group 20–24), the impact of replacing 30 min/day of SB with MVPA resulted in an estimated -1 BMI units decrease (p<0.001).ConclusionMVPA and SB have a unique effect on BMI. Further, substituting SB with LPA or MVPA was associated with a favourable effect on BMI across all age groups; with MVPA having the strongest association.

To prospectively examine associations between accelerometer-measured physical activity (PA) and mortality in older women, with an emphasis on light-intensity PA. Prospective cohort study with baseline data collection between March 2012 and April 2014. Women's Health Initiative cohort in the United States. Community-dwelling women aged 63 to 99 (N = 6,382). Minutes per day of usual PA measured using hip-worn triaxial accelerometers, physical functioning measured using the Short Physical Performance Battery, mortality follow-up for a mean 3.1 years through September 2016 (450 deaths). When adjusted for accelerometer wear time, age, race-ethnicity, education, smoking, alcohol, self-rated health, and comorbidities, relative risks (95% confidence intervals) for all-cause mortality across PA tertiles were 1.00 (referent), 0.86 (0.69, 1.08), 0.80 (0.62, 1.03) trend P = .07, for low light; 1.00, 0.57 (0.45, 0.71), 0.47 (0.35, 0.61) trend P < .001, for high light; and, 1.00, 0.63 (0.50, 0.79), 0.42 (0.30, 0.57) trend P < .001, for moderate-to-vigorous PA (MVPA). Associations remained significant for high light-intensity PA and MVPA (P < .001) after further adjustment for physical function. Each 30-min/d increment in light-intensity (low and high combined) PA and MVPA was associated, on average, with multivariable relative risk reductions of 12% and 39%, respectively (P < .01). After further simultaneous adjusting for light intensity and MVPA, the inverse associations remained significant (light-intensity PA: RR = 0.93, 95% CI = 0.89-0.97; MVPA: RR = 0.67, 95% CI = 0.58-0.78). These relative risks did not differ between subgroups for age or race and ethnicity (interaction, P ≥ .14, all). When measured using accelerometers, light-intensity and MVPA are associated with lower mortality in older women. These findings suggest that replacing sedentary time with light-intensity PA is a public health strategy that could benefit an aging society and warrants further investigation.

BackgroundThe benefits of moderate to vigorous physical activity(MVPA) in lowering depression risk are well established, but there is mixed evidence on sleep, sedentary behaviour(SB), and light-intensity physical activity(LIPA). These behaviours are often considered in isolation, neglecting their behavioural and biological interdependences. We investigated how time spent in one behaviour relative to others was associated with depression risk. MethodsWe included 4738 individuals from the 1970 British Cohort study (age 46 wave). Depression status was ascertained using self-reported doctor visits and prescribed anti-depressant use. MVPA, LIPA, SB and sleep were ascertained using thigh-worn accelerometers worn consecutively for 7 days. Compositional logistic regression was used to examine associations between different compositions of time spent in movement behaviours and depression. ResultsMore time spent in MVPA, relative to SB, sleep or LIPA, was associated with a lower risk of depression. When modelling reallocation of time (e.g. replacing time in one behaviour with another), replacing sleep, SB or LIPA with MVPA time was strongly associated with lower depression risk. Reallocating time between SB, sleep or LIPA had minimal to no effect. LimitationsData was cross-sectional, therefore causality cannot be inferred. Accelerometers do not capture SB context (e.g. TV watching, reading) nor separate biological sleep from time spent in bed. ConclusionsDisplacing any behaviour with MVPA was associated with a lower risk of depression. This study provides promising support that increasing MVPA, even in small doses, can have a positive impact on prevention, mitigation and treatment of depression.

Physical activity (PA) and sedentary behavior (SB) are key determinants of health outcomes in individuals living with type 1 diabetes (T1D). However, the influence of sociodemographic and clinical factors on engagement in these behaviors is not yet well understood. This study aimed to analyze the associations of sociodemographic factors, body mass index, and both the duration and age at diagnosis of diabetes with SB, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) in Brazilian adults. A cross-sectional study was conducted at the Diabetes and Metabolism Service of a public secondary care unit in Rio de Janeiro. One hundred adults diagnosed with T1D had their daily awake time spent in SB, LPA, and MVPA measured using triaxial accelerometers. Sociodemographic and clinical factors were assessed using questionnaires. Generalized Linear Models were used to analyze the relationships of these factors with SB, LPA, and MVPA. Significant associations were found between age, education level, and employment status with SB and LPA, but not with MVPA. On average, each additional year of age was associated with decreased time in SB and increased time in LPA. Higher education levels and unemployment were linked to more SB and less time in LPA. Age, education level, and employment status emerged as key sociodemographic predictors of SB and LPA in Brazilian adults living with T1D. These findings contribute to a better understanding of the sociodemographic determinants associated with SB and PA in individuals diagnosed with T1D.

BackgroundFor people with prediabetes and type 2 diabetes it is important to be regularly physical active. Increasing and maintaining physical activity (PA) can be challenging. The aim of this study was to evaluate the effects of a pedometer-based intervention on PA, with a compositional data analysis (CoDA) approach, in individuals with prediabetes or type 2 diabetes.MethodsLongitudinal data on 188 participants with prediabetes and type 2 diabetes (40% female, mean age = 64.1 years) from a three-armed randomized controlled trail, the Sophia Step Study, was used. The three groups were a multi?component group (self?monitoring of steps with a pedometer, together with group (12 occasions) and individual counselling (10 occasions)), a single?component group (self?monitoring of steps with a pedometer, without counselling) and a standard care group. PA (moderate-to-vigorous PA (MVPA), light-intensity PA (LIPA) and sedentary behaviour (SB)) during the awake time were measured with ActiGraph GT1M accelerometer at baseline, 6, 12, 18 and 24 months. Relative time in MVPA, LIPA and SB for each participant at each measurement point was calculated by using the CoDA approach. Linear mixed models were used to evaluate the intervention effect between the three groups on the relative time in MVPA, LIPA and SB over the two-year period.ResultsIn total, 41% had ≤30 min MVPA at baseline. Significant group by time interactions were found for the multi-component group and the standard care group for the relative time in MVPA, at 6, 18 and 24 months. Differences in predicted group means between the groups were 1.2% at 6 months, 1.3% at 18 months and 0.9% at 24 months. Significant group by time interactions were also found for the single-component group and the standard care group for the relative time in MVPA at 24 months, with a difference in predicted group means of 0.8%. No significant interactions for LIPA or SB were found.ConclusionsThe multi-component group and the single-component component group maintained their relative time in MVPA, while the standard care group decreased their relative time in MVPA over the two-year period. This indicate that the Sophia Step Study intervention can prevent a decrease in MVPA in people with prediabetes and type 2 diabetes.

Sleep duration and moderate-to-vigorous physical activity (MVPA) are associated with healthy aging, but the associations of sedentary behaviors and light-intensity physical activity (LPA) with healthy aging are still unclear. To examine the independent association of sedentary behaviors and LPA with healthy aging, and to estimate the theoretical association of replacing sedentary behavior with LPA, MVPA, or sleep with healthy aging. In this cohort study using data from the Nurses' Health Study, participants aged 50 years or older and free of major chronic diseases in 1992 were prospectively followed up for 20 years. Data were analyzed from January to May 2022. Three measures for sedentary behaviors (hours watching television, sitting at work, and other sitting at home) and 2 measures for LPA (hours of standing or walking around at home [LPA-Home] and at work [LPA-Work]). Healthy aging was defined as survival to at least age 70 years with maintenance of 4 health domains (ie, no major chronic diseases and no impairment in subjective memory, physical function, or mental health). The isotemporal substitution model was used to evaluate the potential impact on healthy aging of replacing 1 hour of 1 behavior with equivalent duration of another. Among 45 176 participants (mean [SD] age, 59.2 [6.0] years), 3873 (8.6%) women achieved healthy aging. After adjustment for covariates including MVPA, each increment of 2 hours per day in sitting watching television was associated with a 12% (95% CI, 7%-17%) reduction in the odds of healthy aging. In contrast, each increase of 2 hours per day in LPA-Work was associated with a 6% (95% CI, 3%-9%) increase in the odds of healthy aging. Replacing 1 hour of sitting watching television with LPA-Home (OR, 1.08; 95% CI, 1.05-1.12), LPA-Work (OR, 1.10; 95% CI, 1.07-1.14), or MVPA (OR, 1.28; 95% CI, 1.23-1.34) was associated with increased odds of healthy aging. Among participants who slept 7 hours per day or less, replacing television time with sleep was also associated with increased odds of healthy aging. In this cohort study, longer television watching time decreased odds of healthy aging, whereas LPA and MVPA increased odds of healthy aging and replacing sitting watching television with LPA or MVPA, or with sleep in those who slept 7 hours per day or less, was associated with increased odds of healthy aging, providing evidence for rearranging 24-hour behavior to promote overall health.

Existing knowledge on associations of physical activity (PA) and sedentary behavior (SB) with body composition and physical fitness in preschoolers is limited. To examine associations of PA and SB with body composition and physical fitness in healthy Swedish 4-year-old children. We utilized baseline data collected in 2014 for the population-based MINISTOP trial (n=307). Light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate-to-vigorous PA (MVPA) and SB were measured using accelerometry (ActiGraph-wGT3x-BT). Body composition was measured using air-displacement plethysmography, and physical fitness (that is, cardiorespiratory fitness, lower and upper body muscular strength and motor fitness) was measured using the PREFIT fitness test battery. Multiple linear regression models adjusted for relevant confounders, and in addition, isotemporal substitution models were applied. Greater MVPA was associated with lower fat mass percent (%FM, P=0.015), and greater VPA and MVPA were associated with higher fat-free mass index (FFMI, P=0.002 and P=0.011). In addition, greater VPA and MVPA were associated with higher scores for all physical fitness tests (P=0.042 to P<0.001). The results for MVPA were primarily due to VPA. SB was associated with weaker handgrip strength (P=0.031) when PA was not adjusted, but after adjusting also for VPA, the significant association disappeared (P=0.25). Substituting 5 min per day of SB, LPA or MPA with 5 min per day of VPA was associated with higher FFMI and better scores for cardiorespiratory fitness and motor fitness. Correspondingly, substituting 5 min per day of VPA with SB or LPA was associated with weaker performance for lower muscular strength. Time spent on VPA was associated with higher FFMI and better physical fitness. The results suggest that promoting VPA may be important to improve childhood body composition and physical fitness already at an early age.

PURPOSE: Preliminary evidence suggests osteoarthritis (OA) is a risk factor for dementia. One potential reason is 87% of adults with OA are inactive, and low moderate-to-vigorous physical activity (MVPA) and high sedentary behaviour (SB) are each risk factors for brain atrophy. While regular MVPA and low SB are thus critical for brain health, it is unclear 1) what aspects of brain structure are associated with these behaviours among adults with OA; and 2) whether the relationships of MVPA and SB with brain structure are independent of each other. Hence, we investigated the independent relationships of MVPA and SB with brain structure in adults with knee OA. METHODS: This was a secondary cross-sectional analysis of a six month, proof-of-concept randomized controlled trial (RCT) to promote MVPA and reduce SB among adults with knee OA. At study entry, we objectively measured MVPA and SB for 7 days using the SenseWear Mini. Following this observation period, participants (N= 30) underwent a 3T magnetic resonance image (MRI) scan, wherein T1-weighted structural MRIs were performed to measure cortical thickness. We performed regression analyses using a surface-based cluster size exclusion method for multiple comparisons within the FreeSurfer neuroimaging software to determine if 1) MVPA was associated with greater cortical thickness independent of SB; and 2) SB was associated with less cortical thickness independent of MVPA. RESULTS: Participants had a mean age of 61 years (SD= 9 years), and 80% were female. Higher MVPA was associated with greater cortical thickness in the temporal pole (cluster size= 855 mm2; p< 0.05) and superior frontal area (cluster size= 1204 mm2; p< 0.05) of the left hemisphere independent of SB. SB was not associated with greater cortical thickness in any region independent of MVPA. CONCLUSIONS: Higher MVPA is associated with greater cortical thickness in adults with OA, however SB does not appear to be strongly associated with brain structure. Promoting MVPA among adults with OA may thus be an important strategy for maintaining cognitive health among this population.

ObjectivesThis study explored how race and socioeconomic status (SES) moderated the association between moderate-to-vigorous physical activity (MVPA) and depressive symptoms with compositional data.MethodsParticipants were 2803 US adults from the 2005–2006...

AimThe aim of this study was to compare the association between count‐ and activity type–based definitions of light‐intensity physical activity (LIPA) and adiposity markers.MethodsA total of 516 Danish workers participated in 1‐4 days of hip‐ and thigh‐based accelerometer measurements. Three definitions of average daily time spent in LIPA were derived: LIPA (1) time spent between 100 and 2029 CPM, LIPA (2) time spent moving and slow walking, and LIPA (3) time spent moving, walking slow, and standing. Adiposity markers were body mass index (BMI), body fat percentage, and waist circumference. The cross‐sectional association between the three LIPA definitions and adiposity markers was analyzed and interpreted using compositional regression models followed by reallocation of time between LIPA, moderate‐to‐vigorous physical activity (MVPA), and sedentary behavior (SB), respectively.ResultsThe geometric means of daily time (min/day) spent in LIPA 1, LIPA 2, and LIPA 3 were 326, 102, and 274, respectively. We found the direction and strength of the association between the relative importance of daily time spent in LIPA and the adiposity markers to depend on the LIPA definition. For example, reallocating 30 minutes from MVPA to LIPA 1, LIPA 2 and LIPA 3 were associated with a 2.97 (95% CI: 0.68; 5.27), −0.71 (95% CI: −1.43; 0.02), and −0.45 (95% CI: −1.01; 0.11) difference in BMI, respectively.ConclusionOur findings highlight the need for caution when comparing results from studies using different definitions of LIPA.

PURPOSE: The benefits of daily moderate to vigorous physical activity (MVPA) for sleep quality in pregnancy may vary based on time of day. The goal of this study is to examine the associations of timing of daily MVPA with measures of sleep quality across pregnancy. METHODS: Data (N = 928 days) come from a feasibility study of 9 participants at Kaiser Permanente Northern California enrolled in their first trimester and followed up to 35 weeks' gestation. Participants wore Actigraph’s Centrepoint Insight Watch accelerometer day and night. The Hibbing TwoRegressions algorithm assigned MET values to each minute of wear time and the Tracy algorithm classified minutes of bedrest (a proxy for sleep), respectively. The waking time window that had ≥50% of the day’s MVPA was considered dominant. Categories for MVPA timing: morning-dominant = 0500-1100, mid-day-dominant = 1100-1700, evening -dominant = 1700-0000, mixed, and no MVPA. Mixed effects models estimated daily associations of classification of MVPA timing (evening-dominant reference) with bedrest duration and efficiency (i.e., number of bedrest minutes during the overnight bedrest period by the number of total minutes in the bedrest period, specific to that night, x100%). Models adjusted for daily device wear-minutes and total MVPA volume. RESULTS: Most days were classified as either evening (63%) or afternoon (28%) dominant. On average, bedrest duration lasted 8.6 (SD 2.1) hours with 94% bedrest efficiency. Compared to evening-dominant, mid-day-dominant and mixed MVPA was associated with 0.4 [95% Confidence Interval (CI) = 0.12, 0.67] and 0.92 (CI = 0.37, 1.47) hours longer sleep duration, respectively. Conversely, morning-dominant MVPA was associated with 2.1 hours shorter sleep duration (CI = -3.14, -1.05), and 8.93% lower sleep efficiency (CI = -14.75, -3.11) compared to evening-dominant. CONCLUSIONS: Engaging in MVPA during the afternoon or spread throughout the day, may be more advantageous than in the morning or evening for pregnant people who want to increase their duration and efficiency of sleep.

Introduction: Sedentary behavior (SB) has been described as an independent risk factor for health, regardless of the recommended amount of moderate-to-vigorous physical activity (MVPA). However, SB and MVPA as predictors of falls have been poorly investigated. Objective: To compare the associations between SB and MVPA and the occurrence of falls in middle-aged and older adults. Method: The participants wore a triaxial accelerometer over the dominant hip for seven days to measure SB and MVPA. The occurrence of falls and cardiovascular risk factors were assessed by self-report. Isokinetic peak torque (PT) of knee extension, peak oxygen uptake (V’O2) in a ramp treadmill protocol, and lean (LBM) body mass and body fat (BFM) (bioelectrical impedance) were also assessed. The critical roles of SB and MVPA on the occurrence of falls were compared by multiple logistic regression adjusted for age, sex, cardiovascular risk factors, LBM, peak V’O2, and PT of knee extension. Results: 379 participants were evaluated, aged 40-80 years. Forty-eight participants reported at least one fall in the previous 12 months (14.5%). Fallers presented lower SB and higher MVPA. They were predominantly women and older adults with lower physical fitness. After multivariate analysis, MVPA, but not SB, was selected as an independent predictor of falls, increasing the odds ratio of having a fall (1.184, 95% confidence interval, 1.016 - 1.378). Conclusion: Episodes of falls in predominantly middle-aged and women subjects were associated with a higher amount of MVPA, not the opposite, indicating an adverse effect of MVPA in these subjects.

BackgroundOlder adults have low physical activity(PA) and high sedentary behaviour(SB) levels. We investigate how total volume and specific patterns of moderate to vigorous PA(MVPA), light PA(LPA) and SB are related to adiposity and metabolic syndrome (MS). Then, with reference to physical activity guidelines which encourage MVPA in bouts > =10 min and avoiding “long” sedentary bouts, we investigate whether accumulating PA and SB in bouts of different defined durations are differently associated with these outcomes.MethodsCross-sectional study of men (71–91 years) recruited in UK primary care centres. Nurses made physical measures (weight, height, bio-impedance, blood pressure) and took fasting blood samples. 1528/3137 (49 %) surviving men had ≥3 valid days (≥600 min) accelerometer data. 450 men with pre-existing chronic disease were excluded. 1009/1078 (93.6 %) had complete covariate data.ResultsMen (n = 1009, mean age 78.5(SD 4.7) years) spent 612(SD 83), 202(SD 64) and 42(SD 33) minutes in SB, LIPA and MVPA respectively. Each additional 30 min/day of SB and MVPA were associated with 0.32 (95 % CI 0.23, 0.40)Kg/m2 higher Body Mass Index (BMI) and −0.72(−0.93, −0.51) lower BMI Kg/m2 respectively. Patterns for waist circumference (WC), fat mass index (FMI), fasting insulin and MS were similar. MVPA in bouts lasting <10 min or ≥10 min duration were not associated differently with outcomes. In models adjusted for total MVPA, each minute accumulated in SB bouts lasting 1–15 min was associated with lower BMI −0.012 kg/m2, WC −0.029 cm, and OR 0.989 for MS (all p < 0.05), and coefficients for LPA bouts 1–9 min were very similar in separate models adjusted for total MVPA. Minutes accumulated in SB bouts 1–15 min and LPA bouts 1–9 min were correlated, r = 0.62.ConclusionsObjectively measured MVPA, LPA and SB were all associated with lower adiposity and metabolic risk. The beneficial associations of LPA are encouraging for older adults for whom initiating MVPA and maintaining bouts lasting ≥10 min may be particularly challenging. Findings that short bouts of LPA (1–9 min) and SB (1–15 min), but that all MVPA, not just MVPA accumulated in bouts ≥10 min were associated with lower adiposity and better metabolic health could help refine older adult PA guidelines.

Activities throughout the day, including sleep, sedentary behavior (SB), light-intensity physical activity (LIPA), and moderate to vigorous physical activity (MVPA) are independently associated with cardiometabolic health. Few studies have examined interrelationships between sleep and 24-hour activity and associations with cardiometabolic risk. The objective of this study is to understand how replacing time in SB, LIPA, or MVPA with sleep impacts cardiometabolic risk. Women's Health Initiative OPACH Study participants (N = 3329; mean age = 78.5 ± 6) wore ActiGraph GT3X+ accelerometers 24 hours/7 days. Adjusted linear regression estimated the relationship between sleep duration and cardiometabolic markers. Separately for shorter (<8 hours) and longer (≥8 hours) sleepers, isotemporal substitution models estimated the cross-sectional associations with cardiometabolic markers with reallocating time in daytime activities to or from sleep. Longer sleep duration was associated with higher insulin, HOMA-IR, glucose, total cholesterol, and triglycerides (all p < 0.05). The associations between sleep duration and C-reactive protein, waist circumference, and body mass index (BMI) were U-shaped (both p < 0.05). For shorter sleepers, reallocating 33 minutes of MVPA to sleep was associated with higher values of insulin, HOMA-IR, glucose, triglycerides, waist circumference, and BMI (0.7%-11.5%). Replacing 91 minutes of SB time with sleep was associated with lower waist circumference and BMI (-1.3%, -1.8%). For long sleepers, shifting 91 minutes of sleep to SB was associated with higher waist circumference and BMI (1.3%, 1.4%). This is one of the first isotemporal analyses to include objectively measured sleep duration. Results illuminate possible cardiometabolic risks and benefits of reallocating time to or from sleep.

Background/ObjectivesThe aim of this study was to examine the effect of physical activity (PA) and sedentary behaviour (SB) on body mass index (BMI) and fat mass index (FMI) in children over the course of five years and identify potential bi-directional associations.Subjects/MethodsData were drawn from the EU Childhood Obesity Project (CHOP). PA and SB were measured with the SenseWear Armband 2 at the ages of 6 (T1), 8 (T2) and 11 (T3) years. Height and weight were measured and BMI was calculated at each time point, resulting in 1254 complete observations from 600 children. Bio impedance analysis was used to measure body fat mass and eventually calculate FMI. To examine the longitudinal association between PA/SB and BMI/FMI as well as to account for repeated measure on these children, mixed model analysis was employed.ResultsHigher levels of total PA and moderate-to-vigorous PA (MVPA) were associated with lower BMI and FMI and higher SB with higher BMI and FMI over the five year period. When looking at the age dependent effects, negative associations of MVPA (βMVPA x age: − 0.05, 95% confidence interval (CI): − 0.09 – -0.01, p = 0.007) and positive associations of SB (βSB x age: 0.04, 95% CI: 0.02–0.06, p < 0.001) increased with each year of age. In a model combining these two effects, only SB x age interaction remained significant (βSB x age: 0.04, 95% CI: 0.03–0.06, p = 0.01). No significant interaction between MVPA and SB could be discerned. Light Physical activity showed no significant associations with BMI or FMI. When reversing outcome and predictor; higher BMI or FMI showed a negative association with MVPA and a positive association with SB, but no age dependency.ConclusionsMore time per day in SB was associated with a higher BMI over the course of five years, whereas higher MVPA had an inverse effect. In a combined model, only effects of higher SB remained significant, emphasizing the importance of SB in obesity prevention. Present bidirectional associations, where lower body size was associated with higher PA and lower SB, indicated the need for an integrated approach of activity and weight control for obesity prevention.Trial registrationClinicalTrials.gov Identifier: NCT00338689. Registered: June 19, 2006 (retrospectively registered).