A Novel Physical Activity and Sedentary Behavior Classification and Its Relationship With Physical Fitness in Spanish Older Adults: The PHYSMED Study

2017 ◽  
Vol 14 (10) ◽  
pp. 815-822 ◽  
Author(s):  
Raquel Aparicio-Ugarriza ◽  
Raquel Pedrero-Chamizo ◽  
María del Mar Bibiloni ◽  
Gonzalo Palacios ◽  
Antoni Sureda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Working At Home ◽  
Health Authorities ◽  
Body Strength ◽  
Public Health Authorities ◽  
Lower Body Strength ◽  
Objectively Measured ◽  
No Gold Standard

Background:As there is no gold-standard methodology to classify older people in relation to physical activity (PA) and sedentary behavior (SB), this paper aimed to propose a classification combining PA and SB.Methods:Within a broader study, 433 subjects, aged 55 years and older (57% females) from Madrid and Majorca, were evaluated for PA and SB by means of validated questionnaires. Physical fitness was analyzed objectively using the EXERNET test battery. Cluster analyses were used to establish behavioral patterns, combining PA and SB.Results:Males spent more time doing regular PA but less time walking and working at home than females (P < .001). Comparing the groups (inactive and high sedentary, inactive and low sedentary, active and high sedentary, and active and low sedentary), the worst aerobic endurance (P < .001) and lower body strength (P < .05) were obtained in males from both inactive groups. Agility was highest in the active and low sedentary group (P < .05). No significant differences were observed in females.Conclusions:The proposed classification is valid, as it classifies subjects according to their PA and SB, and outcomes are related to objectively measured fitness. It could facilitate the work of public health authorities, researchers, and physicians.

Active Older Adults Keep Aerobic Capacity and Experience Small Reductions in Body Strength During Confinement Due to COVID-19 Outbreak

2021 ◽  
pp. 1-8
Author(s):  
Lucimere Bohn ◽  
Duarte Barros ◽  
Flávia Borges-Machado ◽  
Susana Carrapatoso ◽  
Andreia N. Pizarro ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Fitness ◽  
Aerobic Capacity ◽  
Short Version ◽  
Walk Test ◽  
Lower Body ◽  
Physically Active ◽  
Body Strength ◽  
Lower Body Strength

The objective of this study was to observe the home-confinement effects on physical fitness, physical activity (PA), and body composition in active older adults, and to compare physical fitness and PA according to quality of life (QoL) during confinement. A total of 72 physically active older adults (61.1% females; 74.24 ± 5.57 years) were assessed pre- and postconfinement for aerobic capacity (6-min walk test), lower (30-s sit-to-stand), and upper (30-s arm-curl) body strength, PA (short-version of the International Physical Activity Questionnaire), and QoL (EQ-5D-visual analogue scale). The pre- and postconfinement comparisons show declines in upper (−2.24 ± 0.45 repetitions; p < .001; η2 = .276) and lower body strength (−2.65 ± 0.42 repetitions; p < .001; η2 = .378) in both genders, but not in aerobic capacity. Ninety percentage of older adults perceived a decline in PA. Older adults reporting high QoL increased 19.27 ± 97.04 m in the 6-min walk test, while the participants with low QoL reduced 28.32 ± 63.27 m (p = .018; η2 = .090). Previously active older adults did not have their aerobic capacity decrease significantly despite a decline in upper and lower body strength during an 11-week home confinement period.

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.

scholarly journals Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Pauliina Husu ◽  
Jaana Suni ◽  
Henri Vähä-Ypyä ◽  
Harri Sievänen ◽  
Kari Tokola ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Objectively Measured

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

scholarly journals Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior

2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Low Income ◽  
Multivariate Regression ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Mother And Child ◽  
Low Income Mothers ◽  
Objectively Measured ◽  
The Relationship

Purpose: The authors examined the relationship between mother and child activity. Methods: The authors compared moderate–vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother–child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. Results: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6–7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8–10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8–10 (rs = .23), aged 11–12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = −.21), children aged 8–10 (rs = −.30), aged 11–12 (rs = −.34), daughters (rs = −.26), and sons (rs = −.22). In multivariate regression, significant associations were identified between reported child–mother PA time together and child MVPA and sedentary time (accelerometry). Conclusions: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6–7 and daughters. Mother–child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

scholarly journals The Relationship between Physical Fitness and Simulated Firefighting Task Performance

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Goris Nazari ◽  
Joy C. MacDermid ◽  
Kathryn E. Sinden ◽  
Tom J. Overend
Keyword(s):  
Heart Rate ◽  
Physical Fitness ◽  
Grip Strength ◽  
Upper Body ◽  
Task Completion ◽  
Body Strength ◽  
Fitness Parameters ◽  
Lower Body Strength ◽  
The Relationship ◽  
Completion Times

The overall aim of this study was to measure the physiological responses of firefighters from a single fire service during simulated functional firefighting tasks and to establish the relationship between physical fitness parameters and task performance. 46 males and 3 females firefighters were recruited. Firefighters’ aerobic capacity levels were estimated using the Modified Canadian Aerobic Fitness Test (mCAFT). Grip strength levels, as a measure of upper body strength levels, were assessed using a calibrated J-Tech dynamometer. The National Institute for Occupational Safety and Health (NIOSH) protocol for the static floor lifting test was used to quantify lower body strength levels. Firefighters then performed two simulated tasks: a hose drag task and a stair climb with a high-rise pack tasks. Pearson’s correlation coefficients (r) were calculated between firefighters’ physical fitness parameters and task completion times. Two separate multivariable enter regression analyses were carried out to determine the predictive abilities of age, sex, muscle strength, and resting heart rate on task completion times. Our results displayed that near maximal heart rates of ≥88% of heart rate maximum were recorded during the two tasks. Correlation (r) ranged from −0.30 to 0.20. For the hose drag task, cardiorespiratory fitness and right grip strength (kg) demonstrated the highest correlations of −0.30 and −0.25, respectively. In predicting hose drag completion times, age and right grip strength scores were shown to be the statistically significant (p<0.05) independent variables in our regression model. In predicting stair climb completion times, age and NIOSH scores were shown to be the statistically significant (p<0.05) independent variables in our regression model. In conclusion, the hose drag and stair climb tasks were identified as physiological demanding tasks. Age, sex, resting heart rate, and upper body/lower body strength levels had similar predictive values on hose drag and stair climb completion times.

Abstract MP01: Association of Objectively-measured Physical Activity with Cardiovascular Risk in Mobility-limited Older Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Risk Score ◽  
Activity Data ◽  
Mean Intensity ◽  
Wear Time ◽  
Low Intensity ◽  
Objectively Measured ◽  
The Impact

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.

Abstract P463: Objectively Measured Moderate-to-Vigorous Physical Activity is Associated With Decreased Myosteatosis in African Caribbean Adults

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Iva Miljkovic ◽  
Allison Kuipers ◽  
Ryan Cvejkus ◽  
Victor Wheeler ◽  
Joseph Zmuda
Keyword(s):  
Physical Activity ◽  
Skeletal Muscle ◽  
Sedentary Behavior ◽  
Metabolic Diseases ◽  
Vigorous Physical Activity ◽  
Middle Aged ◽  
Fat Infiltration ◽  
Muscle Attenuation ◽  
Muscle Fat Infiltration ◽  
Objectively Measured

Increased skeletal muscle fat infiltration (i.e. myosteatosis) is now recognized as a major risk factor for cardio-metabolic diseases. Therefore, a lifestyle modification that reduces myosteatosis would be of great public health importance. However, studies examining the association of relevant lifestyle factors with this ectopic fat depot are lacking, particularly in African ancestry populations who have a very high burden of cardio-metabolic diseases. The aim of this study was to examine the relation between objectively measured physical activity and sedentary behavior with computed tomography measured calf muscle attenuation among middle-aged and elderly African-Caribbeans from the population-based Tobago Health Study. Preliminary analyses were conducted among 134 women (mean age 59 yrs, mean BMI 31.6 kg/m 2 ) and 355 men (mean age 62 yrs, mean BMI 28 kg/m 2 ). Physical activity was measured using the SenseWear Pro armband worn for 4-7 days. We calculated the mean duration of waking time engaged in light physical activity (LPA), moderate to vigorous activity (MVPA), and sedentary behavior (SB) per day. Skeletal muscle attenuation (mg/cm 3 ) reflects the fat content of the muscle such that greater skeletal muscle fat infiltration is reflected by lower attenuation. Women spent less time in LPA (146 vs. 270 min/day) and MVPA (15 vs. 41 min/day), but more time in SB (789 vs. 647 min/day) than men (all p<0.0001) after adjustments for gender differences in age. Muscle attenuation was lower among women compared with men (70.5 vs. 72.7 mg/cm3; age and BMI adjusted p<0.0001). In both women and men, muscle attenuation was positively correlated with the LPA and MVPA, and inversely with time spent in SB (spearman correlation coefficients (r) ranged from 0.21 to 0.39, all p<0.006 adjusted for age). Upon additional adjustment for BMI, in both women and men, the association of muscle attenuation with MVPA remained significant (r=0.21 and r=0.18, respectively, both p<0.03), but there was no association with LPA. Percent time spent in SB was associated with muscle attenuation only among women after additional adjustment for BMI (women: -0.16, p=0.052), and we also found a significant sex interaction effect of SB on muscle attenuation (p=0.035). Our preliminary findings suggest that there is significant association between MVPA and myosteatosis among middle-aged and elderly African Caribbeans. However, SB may only be relevant for myosteatosis among women. Future analyses will be conducted in a larger sample from this cohort to confirm our findings and to test for independence from other potential confounding factors, such as diet, sleep patterns, adiposity distribution, and diabetes.

Sign in / Sign up

Export Citation Format

Share Document