scholarly journals Associations between physical and sedentary activity regularity and sleep in preschoolers and kindergartners

Sleep Health ◽  
2017 ◽  
Vol 3 (4) ◽  
pp. 263-268 ◽  
Author(s):  
Kara M. Duraccio ◽  
Chad D. Jensen
Keyword(s):  
Sedentary Activity

Children’s sedentary activity after hurricane exposure.

2014 ◽  
Vol 6 (3) ◽  
pp. 280-289 ◽  
Author(s):  
Betty S. Lai ◽  
Annette M. La Greca ◽  
Maria M. Llabre
Keyword(s):  
Sedentary Activity ◽  
Hurricane Exposure

scholarly journals Physical Activity and Sedentary Activity Patterns Among Children and Adolescents: A Latent Class Analysis Approach

2011 ◽  
Vol 8 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Carrie D. Patnode ◽  
Leslie A. Lytle ◽  
Darin J. Erickson ◽  
John R. Sirard ◽  
Daheia J. Barr-Anderson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Children And Adolescents ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Activity Patterns ◽  
Moderate Activity ◽  
Class Analysis ◽  
Sedentary Behaviors ◽  
Sedentary Activity

Background:While much is known about the overall levels of physical activity and sedentary activity among youth, few studies have attempted to define clusters of such behaviors. The purpose of this study was to identify and describe unique classes of youth based on their participation in a variety of physical activity and sedentary behaviors.Methods:Latent class analysis was used to characterize segments of youth based on patterns of self-reported and accelerometer-measured participation in 12 behaviors. Children and adolescents (N = 720) from 6th-11th grade were included in the analysis. Differences in class membership were examined using multinomial logistic regression.Results:Three distinct classes emerged for boys and girls. Among boys, the 3 classes were characterized as “Active” (42.1%), “Sedentary” (24.9%), and “Low Media/Moderate Activity” (33.0%). For girls, classes were “Active” (18.7%), “Sedentary” (47.6%), and “Low Media/Functional Activity” (33.7%). Significant differences were found between the classes for a number of demographic indicators including the proportion in each class who were classified as overweight or obese.Conclusions:The behavioral profiles of the classes identified in this study can be used to suggest possible audience segments for intervention and to tailor strategies appropriately.

Theory of Planned Behavior for Sedentary Activity Measure

2017 ◽  
Author(s):  
Guillaume Chevance ◽  
Nelly Héraud ◽  
Alain Varray ◽  
Julie Boiché
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Sedentary Activity ◽  
Activity Measure

scholarly journals HUBUNGAN AKTIVITAS SEDENTARI TERHADAP KOORDINASI MOTORIK KASAR PADA ANAK USIA 11-12 TAHUN DI SD NEGERI 3 PANJER, DENPASAR SELATAN

2020 ◽  
Vol 8 (1) ◽  
pp. 16
Author(s):  
Maria Assumpta Avila Beda Budhiyati ◽  
Ari Wibawa ◽  
Luh Made Indah Sri Handari Adiputra ◽  
Ni Komang Ayu Juni Antari
Keyword(s):  
Sedentary Activity ◽  
Cross Sectional ◽  
Purposive Sampling ◽  
Activity Questionnaire

Perkembangan teknologi di era modern ini sudah sangat maju dan berkembang sehingga menimbulkan berbagai dampak, baik dampak positif maupun negatif. Salah satu dampak negatif yang dapat dirasakan adalah bertambahnya aktivitas sedentari pada anak. Aktivitas sedentari yang berlebihan pada anak dapat berpengaruh terhadap kemampuan motorik kasar anak, salah satunya adalah koordinasi motorik kasar. Penelitian ini bertujuan untuk mengetahui hubungan aktivitas sedentari terhadap koordinasi motorik kasar pada anak usia 11-12 tahun di SD Negeri 3 Panjer, Denpasar Selatan. Jenis penelitian ini adalah penelitian observasional analitik dengan rancangan cross-sectional yang dilaksanakan pada bulan April 2019. Pengambilan sampel dilakukan dengan teknik purposive sampling dengan sampel berjumlah 35 orang. Variabel independen yang diukur adalah aktivitas sedentari dengan menggunakan adolescent sedentary activity questionnaire (ASAQ). Variabel dependen yang diukur adalah koordinasi motorik kasar dengan menggunakan Tes Koordinasi Mata, Tangan, dan Kaki. Uji hipotesis yang digunakan adalah Pearson dan diperoleh nilai p sebesar 0,700 sehingga p>0,05. Hasil penelitian dan uji statistik menyatakan bahwa tidak terdapat hubungan yang signifikan antara aktivitas sedentari terhadap koordinasi motorik kasar pada anak usia 11-12 tahun di SD Negeri 3 Panjer, Denpasar Selatan. Penelitian lebih lanjut, seperti penelitian longitudinal dan penelitian eksperimental dibutuhkan untuk dapat mendukung atau membantah hasil penelitian ini.   Kata kunci: Aktivitas sedentari, koordinasi motorik kasar, anak

scholarly journals Diet in midpuberty and sedentary activity in prepuberty predict peak bone mass

2003 ◽  
Vol 77 (2) ◽  
pp. 495-503 ◽  
Author(s):  
May-Choo Wang ◽  
Patricia B Crawford ◽  
Mark Hudes ◽  
Marta Van Loan ◽  
Kirstin Siemering ◽  
...  
Keyword(s):  
Bone Mass ◽  
Peak Bone Mass ◽  
Sedentary Activity

Actical Accelerometer Sedentary Activity Thresholds for Adults

2011 ◽  
Vol 8 (4) ◽  
pp. 587-591 ◽  
Author(s):  
Suzy Lai Wong ◽  
Rachel Colley ◽  
Sarah Connor Gorber ◽  
Mark Tremblay
Keyword(s):  
Children And Adolescents ◽  
Count Data ◽  
Objective Measurement ◽  
Step Count ◽  
Sedentary Activity ◽  
Health Measures ◽  
Canadian Health ◽  
Adolescents And Adults ◽  
Canadian Health Measures Survey

Background:Actical accelerometer thresholds have been derived to enable objective measurement of time spent performing sedentary activity in children and adolescents, but not adults. Thus, the purpose of this study was to determine Actical accelerometer sedentary activity thresholds for adults.Methods:Data were available from 3187 participants aged 6 to 79 years from a preliminary partial dataset of the Canadian Health Measures Survey, who wore an Actical for 7 days. Step count data were used to evaluate the use of 50, 100, and 800 counts per min (cpm) as sedentary activity thresholds. Minutes when no steps were recorded were considered minutes of sedentary activity.Results:The use of higher cpm thresholds resulted in a greater percentage of sedentary minutes being correctly classified as sedentary. The percentage of minutes that were incorrectly classified as sedentary was substantially higher when using a threshold of 800 cpm compared with 50 or 100 cpm. Results were similar for children, adolescents, and adults.Conclusions:These findings suggest that a threshold of 100 cpm is appropriate for classifying sedentary activity of adults when using the Actical. As such, wear periods with minutes registering less than 100 cpm would be classified as time spent performing sedentary activity.

Gender Differences in the Association Between Alcohol Use and Sedentary Behavior Among Adults

2018 ◽  
Vol 32 (7) ◽  
pp. 1576-1581 ◽  
Author(s):  
Pooja Agrawal ◽  
Andrew Mercer ◽  
Jamila Hassanali ◽  
Chakema Carmack ◽  
Darleesa Doss ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Sedentary Behavior ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Alcoholic Beverages ◽  
Sedentary Activity ◽  
Cross Sectional ◽  
Multinomial Logistic Regression Analysis ◽  
Health And Nutrition

Purpose: We examined differences in the association between alcohol use and sedentary behavior by gender among adults. Design: Cross-sectional study that employs a complex, multistage stratified probability cluster sample design. Setting: National Health and Nutrition Examination Survey (NHANES) 2007 to 2014. Participants: NHANES participants aged ≥20 years and identifying as Hispanic, white, or black (N = 18 441). Measures: Demographic characteristics, sedentary behavior, and alcohol consumption. Sedentary behavior was measured based on the number of minutes of sedentary activity per week. Alcohol consumption in the last year was measured based on responses to items assessing whether the participant consumes alcoholic beverages and the number of alcoholic beverages consumed on average. Analysis: Multinomial logistic regression analysis was used to estimate associations of alcohol use with categories of sedentary behavior by gender. Results: Compared to women who reported not consuming alcohol, women who were heavy drinkers were significantly more likely to engage in high sedentary activity (odds ratio [OR]: 1.47; 95% confidence interval [CI]: 1.16-1.87), relative to low levels of sedentary activity. Similarly, women who were binge drinkers were more likely to engage in moderate levels of sedentary activity (OR: 1.39; 95% CI: 1.05-1.85). There were no significant associations between alcohol use and sedentary activity among men. Conclusion: Findings suggest that alcohol consumption should be considered in health promotion efforts targeting sedentary behavior among women.

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