scholarly journals Isotemporal substitution of sedentary behavior for physical activity on cardiorespiratory fitness in children and adolescents

Medicine ◽  
2020 ◽  
Vol 99 (30) ◽  
pp. e21367
Author(s):  
Yi Sun ◽  
Xiaojian Yin ◽  
Yuqiang Li ◽  
Cunjian Bi ◽  
Ming Li ◽  
...  
2021 ◽  
pp. 089011712098583
Author(s):  
Mats Hallgren ◽  
Davy Vancampfort ◽  
Thi-Thuy-Dung Nguyen ◽  
Elin Ekblom-Bak ◽  
Peter Wallin ◽  
...  

Purpose: To describe physical activity habits, sedentary behavior, and cardiorespiratory fitness levels among alcohol abstainers, hazardous and non-hazardous drinkers. Design: Cross-sectional study with data collected between 2017-19. Setting: Sweden. Subjects: Adults aged 18-65 years (n = 47,559; 59.4% male). Measures: During a routine health assessment, participants answered validated single-item questions regarding: habitual physical activity, structured exercise, and the percentage of time spent sedentary during leisure-time (past 30 days), and completed a 6-minute cycle ergometer test (V02max) to determine cardiorespiratory fitness (CRF). Participants were categorized as alcohol abstainers, non-hazardous drinkers or hazardous drinkers (low/high) based on the Alcohol Use Disorders Identification Test (AUDIT-C) cut-points for men and women. Analysis: Logistic regression models stratified by sex and age. Results: Compared to non-hazardous drinkers, the heaviest drinkers were less physically active (males: OR = 1.38, CI = 1.13-1.67, p = .001; females: OR = 1.41, CI = 1.01-1.97, p = .040) and more sedentary during leisure time (males: OR = 1.94, CI = 1.62-2.32, p = .000; females: OR = 1.62, CI = 1.21-2.16, p = .001). Apart from young females, the heaviest drinkers also did less structured exercise than non-hazardous drinkers (males: OR = 1.22, CI = 1.15-1.51, p = .000; females: OR = 1.43, CI = 1.15-1.78, p = .001). The strongest associations were seen among adults aged 40-65 years (shown here). High-hazardous drinking was associated with low CRF among older males only (OR = 1.19, CI = 1.00-1.41). Conclusion: Middle-aged adults with AUDIT-C scores of ≥6 (women) and ≥7 (men) were less physically active and more sedentary during leisure time and may be appropriate targets for physical activity interventions.


2017 ◽  
Vol 52 (16) ◽  
pp. 1039-1039 ◽  
Author(s):  
Adilson Marques ◽  
Diana A Santos ◽  
Charles H Hillman ◽  
Luís B Sardinha

ObjectiveThis report aimed to systematically review the evidence for a differential association between objective and self-reported physical activity and cardiorespiratory fitness on academic achievement.DesignSystematic review.Data sourcesStudies were identified from searches in Embase, Education Resources Information Center, PubMed, PsycINFO, SPORTdiscus and Web of Science databases from January 2000 to December 2016.Eligibility criteria for selecting studiesEligibility criteria included cross-sectional, longitudinal and interventional study designs. Outcomes included students’ school grade or a standardised test or measure of academic achievement. Explanatory variables were cardiorespiratory fitness and objective and self-reported physical activity. Inclusion criteria included school-aged children and adolescents aged–18 years (or students from primary to secondary school when student’s participants age was not described) and articles published in English, Portuguese or Spanish.ResultsA total of 51 articles met inclusion criteria: 41 cross-sectional, 2 intervention and 8 longitudinal studies. Results from 11 studies were inconsistent regarding the relationship between objectively measured physical activity and academic achievement. Ten of the 16 articles reported positive associations between self-reported physical activity and academic achievement. From the 22 studies that analysed the relationship between cardiorespiratory fitness and academic achievement, it was verified that they all generally support the beneficial effect of cardiorespiratory fitness on students’ academic achievement.ConclusionHigher cardiorespiratory fitness may be important to enhance children and adolescents’ health and, additionally, academic achievement. Due to a lack of consensus across studies, methodological issues associated with the assessment of physical activity should be considered when investigating physical activity and academic achievement.


2015 ◽  
Vol 12 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Anna E. Greer ◽  
Xuemei Sui ◽  
Andréa L. Maslow ◽  
Beau Kjerulf Greer ◽  
Steven N. Blair

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tomoaki Matsuo ◽  
Rina So ◽  
Masaya Takahashi

Abstract Background Sedentary behavior (SB) and cardiorespiratory fitness (CRF) are important issues in occupational health. Developing a questionnaire to concurrently assess workers’ SB and CRF could fundamentally improve epidemiological research. The Worker’s Living Activity-time Questionnaire (WLAQ) was developed previously to assess workers’ sitting time. WLAQ can be modified to evaluate workers’ CRF if additional physical activity (PA) data such as PA frequency, duration, and intensity are collected. Methods A total of 198 working adults (93 women and 105 men; age, 30–60 years) completed anthropometric measurements, a treadmill exercise test for measuring maximal oxygen consumption (VO2max), and modified WLAQ (m-WLAQ, which included questions about PA data additional to the original questions). Multiple regression analyses were performed to develop prediction equations for VO2max. The generated models were cross-validated using the predicted residual error sum of squares method. Among the participants, the data of 97 participants who completed m-WLAQ twice after a 1-week interval were used to calculate intraclass correlation coefficient (ICC) for the test–retest reliability analyses. Results Age (r = − 0.29), sex (r = 0.48), body mass index (BMI, r = − 0.20), total sitting time (r = − 0.15), and PA score (total points for PA data, r = 0.47) were significantly correlated with VO2max. The models that included age, sex, and BMI accounted for 43% of the variance in measured VO2max [standard error of the estimate (SEE) = 5.04 ml·kg− 1·min− 1]. These percentages increased to 59% when the PA score was included in the models (SEE = 4.29 ml·kg− 1·min− 1). Cross-validation analyses demonstrated good stability of the VO2max prediction models, while systematic underestimation and overestimation of VO2max were observed in individuals with high and low fitness, respectively. The ICC of the PA score was 0.87 (0.82–0.91), indicating excellent reliability. Conclusions The PA score obtained using m-WLAQ, rather than sitting time, correlated well with measured VO2max. The equation model that included the PA score as well as age, sex, and BMI had a favorable validity for estimating VO2max. Thus, m-WLAQ can be a useful questionnaire to concurrently assess workers’ SB and CRF, which makes it a reasonable resource for future epidemiological surveys on occupational health.


2016 ◽  
Vol 13 (s2) ◽  
pp. S279-S283 ◽  
Author(s):  
Blanca Roman-Viñas ◽  
Jorge Marin ◽  
Mairena Sánchez-López ◽  
Susana Aznar ◽  
Rosaura Leis ◽  
...  

Background:The first Active Healthy Kids Spanish Report Card aims to gather the most robust information about physical activity (PA) and sedentary behavior of children and adolescents.Methods:A Research Working Group of experts on PA and sport sciences was convened. A comprehensive data search, based on a review of the literature, dissertations, gray literature, and experts’ nonpublished data, was conducted to identify the best sources to grade each indicator following the procedures and methodology outlined by the Active Healthy Kids Canada Report Card model.Results:Overall PA (based on objective and self-reported methods) was graded as D-, Organized Sports Participation as B, Active Play as C+, Active Transportation as C, Sedentary Behavior as D, School as C, and Family and Peers as Incomplete, Community and the Built Environment as Incomplete, and Government as Incomplete.Conclusions:Spanish children and adolescents showed low levels of adherence to PA and sedentary behavior guidelines, especially females and adolescents. There is a need to achieve consensus and harmonize methods to evaluate PA and sedentary behavior to monitor changes over time and to evaluate the effectiveness of policies to promote PA.


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