scholarly journals Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

2016 ◽  
Vol 41 (6 (Suppl. 3)) ◽  
pp. S294-S302 ◽  
Author(s):  
Valerie Carson ◽  
Mark S. Tremblay ◽  
Jean-Philippe Chaput ◽  
Sebastien F.M. Chastin
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Sleep Duration ◽  
Sedentary Time ◽  
Health Indicators ◽  
Children And Youth ◽  
Risk Markers ◽  
Negatively Associated ◽  
Intensity Physical Activity ◽  
Strengths And Difficulties

The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6–17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.

Physical Activity, Sedentary Time, and Sleep and the Association With Inflammatory Markers and Adiponectin in 8- to 11-Year-Old Danish Children

2016 ◽  
Vol 13 (7) ◽  
pp. 733-739 ◽  
Author(s):  
Mette S. Nielsen ◽  
Jonas S. Quist ◽  
Jean-Philippe Chaput ◽  
Stine-Mathilde Dalskov ◽  
Camilla T. Damsgaard ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Inflammatory Markers ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Movement Behavior ◽  
Inverse Association ◽  
Pubertal Status ◽  
Negatively Associated ◽  
Reactive Protein

Background:Inflammatory markers, adiponectin, and movement/nonmovement behaviors have all been linked to risk factors for cardiovascular disease; however, the association between childhood movement/nonmovement behaviors and inflammatory markers and adiponectin is unknown.Methods:We explored the association between accelerometer determined moderate-to-vigorous physical activity (MVPA), sedentary time, and sleep (7 days/8 nights) and fasting C-reactive protein (CRP), interleukin-6 (IL-6), and adiponectin in 806 school children. A sleep variability score was calculated.Results:MVPA was negatively associated with adiponectin in boys and girls (P < .001) and with CRP and IL-6 in girls (P < .05) independent of sleep duration, sedentary time, age, fat mass index (FMI), and pubertal status. Sedentary time was positively associated with adiponectin in boys and girls (both P < .001), and sleep duration with adiponectin in boys independent of age, FMI, and pubertal status (P < .001); however, these associations disappeared after mutual adjustments for movement behavior. Sleep duration variability was positively associated with CRP in girls independent of all covariates (P < .01).Conclusion:MVPA remained negatively associated with inflammatory markers and adiponectin, and sleep duration variability positively associated with CRP after adjustment for FMI, pubertal status, and other movement behavior. The inverse association between MVPA and adiponectin conflicts with the anti-inflammatory properties of adiponectin.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

scholarly journals Physical activity, sedentary time and their associations with clustered metabolic risk among people with type 2 diabetes in Jiangsu province: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027906
Author(s):  
Yijia Chen ◽  
Jie Yang ◽  
Jian Su ◽  
Yu Qin ◽  
Chong Shen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Systolic Blood Pressure ◽  
Leisure Time ◽  
Sedentary Time ◽  
Leisure Time Physical Activity ◽  
Jiangsu Province ◽  
Metabolic Risk

ObjectiveInvestigating the association between total physical activity, physical activity in different domains and sedentary time with clustered metabolic risk in patients with type 2 diabetes from Jiangsu province, China.DesignInterview-based cross-sectional study conducted between December 2013 and January 2014.Setting44 selected townships across two cities, Changshu and Huai’an, in Jiangsu province.Participants20 340 participants selected using stratified cluster-randomised sampling and an interviewer-managed questionnaire.MethodsWe constructed clustered metabolic risk by summing sex-specific standardised values of waist circumference, fasting triacylglycerol, fasting plasma glucose, systolic blood pressure and the inverse of blood high-density lipoprotein cholesterol (HDL-cholesterol). Self-reported total physical activity included occupation, commuting and leisure-time physical activity. The un-standardised regression coefficient [B] and its 95% CI were calculated using multivariate linear regression analyses.ResultsThis study included 17 750 type 2 diabetes patients (aged 21–94 years, 60.3% female). The total (B=−0.080; 95% CI: −0.114 to −0.046), occupational (B=−0.066; 95% CI: −0.101 to− 0.031) and leisure-time physical activity (B=−0.041; 95% CI: −0.075 to −0.007), and sedentary time (B=0.117; 95% CI: 0.083 to 0.151) were associated with clustered metabolic risk. Total physical activity, occupational physical activity and sedentary time were associated with waist circumference, triacylglycerol and HDL-cholesterol, but not with systolic blood pressure. Commuting physical activity and sedentary time were significantly associated with triacylglycerol (B=−0.012; 95% CI: −0.019 to −0.005) and fasting plasma glucose (B=0.008; 95% CI: 0.003 to 0.01), respectively. Leisure-time physical activity was only significantly associated with systolic blood pressure (B=−0.239; 95% CI: −0.542 to− 0.045).ConclusionsTotal, occupational and leisure-time physical activity were inversely associated with clustered metabolic risk, whereas sedentary time increased metabolic risk. Commuting physical activity was inversely associated with triacylglycerol. These findings suggest that increased physical activity in different domains and decreased sedentary time may have protective effects against metabolic risk in type 2 diabetes patients.

scholarly journals Results From Sweden’s 2016 Report Card on Physical Activity for Children and Youth

2016 ◽  
Vol 13 (s2) ◽  
pp. S284-S290 ◽  
Author(s):  
Christine Delisle Nyström ◽  
Christel Larsson ◽  
Bettina Ehrenblad ◽  
Hanna Eneroth ◽  
Ulf Eriksson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sport Participation ◽  
Age Groups ◽  
Health Indicators ◽  
Report Card ◽  
Children And Youth ◽  
Sedentary Behaviors ◽  
Related Data ◽  
Nationally Representative ◽  
Almost All

Background:The 2016 Swedish Report Card on Physical Activity (PA) for Children and Youth is a unique compilation of the existing physical and health related data in Sweden. The aim of this article is to summarize the procedure and results from the report card.Methods:Nationally representative surveys and individual studies published between 2005–2015 were included. Eleven PA and health indicators were graded using the Active Healthy Kids Canada grading system. Grades were assigned based on the percentage of children/youth meeting a defined benchmark (A: 81% to 100%, B: 61% to 80%, C: 41% to 60%, D: 21% to 40%, F: 0% to 20%, or incomplete (INC).Results:The assigned grades were Overall Physical Activity, D; Organized Sport Participation, B+; Active Play, INC; Active Transportation, C+; Sedentary Behaviors, C; Family and Peers, INC; School, C+; Community and the Built Environment, B; Government Strategies and Investments, B; Diet, C-; and Obesity, D.Conclusions:The included data provides some support that overall PA is too low and sedentary behavior is too high for almost all age groups in Sweden, even with the many national policies as well as an environment that is favorable to the promotion of PA.

Abstract P375: Prospective Associations of Accelerometer-measured Physical Activity and Sedentary Time With Cardiometabolic Multimorbidity in the CARDIA Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Kelsie M Full ◽  
Kelley Gabriel ◽  
Kara M Whitaker ◽  
Cora E Lewis ◽  
Barbara Sternfeld ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Adverse Outcomes ◽  
Uncontrolled Hypertension ◽  
P Value ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Health Care Burden ◽  
The Us ◽  
Intensity Physical Activity

Background: Cardiometabolic multimorbidity is rising rapidly in the US. This condition is associated with greater health care burden and risk for adverse outcomes, including mortality. We investigated the relations of sedentary time (ST), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) with future cardiometabolic multimorbidity in mid-life. Methods: Participants were 1,863 adults (mean ± SD age=45±4 years, 58% female, 39% Black) from the Coronary Artery Risk Development in Young Adults (CARDIA) study who wore an ActiGraph 7164 accelerometer in 2005-2006 (baseline). Cardiometabolic multimorbidity was defined as ≥2 measured cardiometabolic conditions (untreated/uncontrolled hypertension and hyperlipidemia, diabetes mellitus, chronic kidney disease, and clinical cardiovascular outcomes). Separate logistic regression models provided estimates of prospective associations of accelerometer-measured ST, LPA, and MVPA with cardiometabolic multimorbidity 10 years later in participants with <2 cardiometabolic conditions at baseline. Interactions by age, sex, and race were explored. Results: The highest (>47.3 min/d) vs. lowest (<17.5 min/d) quartile of MVPA was associated with lower odds of cardiometabolic multimorbidity (OR: 0.61; CI: 0.37, 0.99) 10-years later. This association did not differ by age, race, or sex. Overall, there was no association between ST and cardiometabolic multimorbidity. However, a significant interaction was observed by age (p value=0.03). In age-stratified analyses, among participants ≥46 years at baseline, the highest (>9.3 hr/d) vs. lowest (<7.1 hr/d) quartile of ST was associated with higher odds of cardiometabolic multimorbidity (OR: 2.86; CI: 1.36, 6.17). No associations were observed between LPA and cardiometabolic multimorbidity. Conclusions: In mid-life adults with <2 conditions at baseline, greater daily MVPA was associated with lower odds of future cardiometabolic multimorbidity burden 10 years later.

scholarly journals Antihypertensive Effect of Amaranth Hydrolysate Is Comparable to the Effect of Low-Intensity Physical Activity

2020 ◽  
Vol 10 (16) ◽  
pp. 5706
Author(s):  
Francisco Cabrera-Chávez ◽  
Veronica Lopez-Teros ◽  
Perla Yareli Gutiérrez-Arzapalo ◽  
Feliznando Isidro Cárdenas-Torres ◽  
Efren Rafael Rios-Burgueño ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Antihypertensive Effect ◽  
Protein Hydrolysate ◽  
Spontaneously Hypertensive ◽  
Low Intensity ◽  
Average Group ◽  
Intensity Physical Activity ◽  
The Impact ◽  
Antihypertensive Peptides

Background and objectives: Both antihypertensive peptide intake and physical activity help to control blood pressure. Our aim was to evaluate the impact of consuming amaranth antihypertensive peptides on systolic blood pressure (SBP) in normotensive rats and the magnitude and relevance of the peptide-induced antihypertensive effect in spontaneously hypertensive rats (SHR). Materials and Methods: Treatments (alcalase-generated amaranth protein hydrolysate, captopril, or water) were given by gavage and the SBP measured by the tail-cuff method. Physical activity was performed five days/week (for twenty weeks). Results: The normotensive rats’ SBP (mmHg, average/group) remained unaffected after amaranth antihypertensive peptide supplementation (121.8) (p > 0.05 vs controls). In SHR, the SBP was lowered by 24.6 (sedentary/supplemented at two weeks), 42.0 (sedentary/supplemented at eight weeks), and 31.5 (exercised/non-supplemented at eight weeks) (p < 0.05 vs sedentary/non-supplemented). The combination of supplementation and physical activity lowered the SBP by 36.2 and 42.7 (supplemented/exercised at two weeks and eight weeks, respectively) (p < 0.05 vs sedentary/non-supplemented), but it did not have additional antihypertensive benefits (p > 0.05 vs sedentary/supplemented at eight weeks or exercised/non-supplemented at eight weeks). Conclusions: Amaranth antihypertensive peptide supplementation has no impact on SBP in normotensive rats. This supplementation develops sustained antihypertensive benefits in SHR, which are similar to the antihypertensive effect developed after eight- or twenty-week low-intensity physical activity. These findings have implications for developing safe and effective peptide-based functional foods.

scholarly journals Sedentary Time, Physical Activity, and Sleep Duration: Associations with Body Composition in Fibromyalgia. The Al-Andalus Project

2019 ◽  
Vol 8 (8) ◽  
pp. 1260 ◽  
Author(s):  
Blanca Gavilán-Carrera ◽  
Pedro Acosta-Manzano ◽  
Alberto Soriano-Maldonado ◽  
Milkana Borges-Cosic ◽  
Virginia A. Aparicio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Body Fat ◽  
Regression Models ◽  
Sedentary Time ◽  
Body Fat Percentage ◽  
Fat Percentage

To explore the individual–independent relationships of sedentary time (ST) and physical activity (PA) (light and moderate-to-vigorous intensity (MVPA)), with sleep duration and body composition (waist circumference, body mass index (BMI), body fat percentage, and muscle mass index) in women with fibromyalgia, and to determine whether these associations are independent of physical fitness. This cross-sectional study involved 385 women with fibromyalgia. ST and PA were assessed by triaxial accelerometry, sleep duration was self-reported. Waist circumference was measured using an anthropometric tape, and body weight, body fat percentage, and muscle mass were estimated using a bio-impedance analyzer. In individual regression models, ST and sleep were directly associated with waist circumference, BMI, and body fat percentage (β between 0.10 and 0.25; all p < 0.05). Light PA and MVPA were inversely associated with waist circumference, BMI, and body fat percentage (β between −0.23 and −0.12; all p < 0.05). In multiple linear regression models, ST (β between 0.17 and 0.23), light PA (β between −0.16 and −0.21), and sleep duration (β between 0.11 and 0.14) were independently associated with waist circumference, BMI, and body fat percentage (all p < 0.05). MVPA was associated with waist circumference independent of light physical activity (LPA) and sleep duration (β = −0.11; p < 0.05). Except for MVPA, these associations were independent of physical fitness. These results suggest that longer ST and sleep duration, and lower PA levels (especially light intensity PA), are independently associated with greater adiposity, but not muscle mass, in women with fibromyalgia. These associations are, overall, independent of physical fitness.

Light-Intensity Physical Activity and Cardiometabolic Risk Among Older Adults With Multiple Chronic Conditions

2018 ◽  
Vol 33 (4) ◽  
pp. 507-515 ◽  
Author(s):  
Yueyao Li ◽  
Kellee White ◽  
Katherine R. O’Shields ◽  
Alexander C. McLain ◽  
Anwar T. Merchant
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Older Adults ◽  
Light Intensity ◽  
Total Cholesterol ◽  
Chronic Conditions ◽  
Cardiometabolic Risk ◽  
Multiple Chronic Conditions ◽  
Intensity Physical Activity

Purpose: To assess the relationship between light-intensity physical activity (LIPA) and cardiometabolic risk factors among middle-aged and older adults with multiple chronic conditions. Design: Cross-sectional design utilizing data from the Health and Retirement Study (2010, 2012). Setting: Laboratory- and survey-based testing of a nationally representative sample of community-dwelling middle aged and older adults. Participants: Adults aged 50 years and older (N = 14 996). Measures: Weighted metabolic equivalent of tasks was calculated using self-reported frequency of light, moderate, and vigorous physical activity. Cardiometabolic risk factors (systolic and diastolic blood pressure, glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C], total cholesterol, and non-HDL-C) were objectively measured. A multiple chronic condition index was based on 8 self-reported chronic conditions. Analysis: Weighted multivariate linear regression models. Results: Light-intensity physical activity was independently associated with favorable HDL-C (β = 1.25; 95% confidence interval [CI]: 0.46-2.05) and total cholesterol (β = 2.72; 95% CI: 0.53-4.90) after adjusting for relevant confounders. The HDL-C health benefit was apparent when stratified by number of chronic conditions, for individuals with 2 to 3 conditions (β = 1.73; 95% CI: 0.58-2.89). No significant associations were observed between LIPA and blood pressure, HbA1c, or non-HDL-C. Conclusions: Engaging in LIPA may be an important health promotion activity to manage HDL-C and total cholesterol. Additional longitudinal research is needed to determine the causal association between LIPA and cardiometabolic risk which can potentially inform physical activity guidelines targeting older adults with multiple chronic conditions.

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