Are Current Body Mass Index Referenced Pedometer Step-Count Recommendations Applicable to US Youth?

2008 ◽  
Vol 5 (5) ◽  
pp. 665-674 ◽  
Author(s):  
Michael W. Beets ◽  
Guy C. Le Masurier ◽  
Aaron Beighle ◽  
David A. Rowe ◽  
Charles F. Morgan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Cross Validation ◽  
Healthy Weight ◽  
Activity Data ◽  
Cut Points ◽  
Cut Point ◽  
Us Children ◽  
Unhealthy Weight ◽  
Current Body Mass Index

Background:The purpose of this study was to cross-validate international BMI-referenced steps/d cut points for US girls (12,000 steps/d) and boys (15,000 steps/d) 6 to 12 years of age.Methods:Secondary pedometer-determined physical activity data from US children (N = 1067; 633 girls and 434 boys, 6 to 12 years) were analyzed. Using international BMI classifications, cross-validation of the 12,000 and 15,000 steps/d cut points was examined by the classification precision, sensitivity, and specificity for each age–sex stratum.Results:For girls (boys) 6 to 12 years, the 12,000 (15,000) steps/d cut points correctly classified 42% to 60% (38% to 67%) as meeting (achieved steps/d cut point and healthy weight) and failing (did not achieve steps/d cut point and overweight). Sensitivity ranged from 55% to 85% (64% to 100%); specificity ranged from 23% to 62% (19% to 50%).Conclusion:The utility of pedometer steps/d cut points was minimal in this sample given their inability to differentiate among children who failed to achieve the recommended steps/d and exhibited an unhealthy weight. Caution, therefore, should be used in applying previous steps/d cut points to US children.

scholarly journals Effect of Children’s Weight Status on Physical Activity and Sedentary Behavior during Physical Education, Recess, and After School

2020 ◽  
Vol 9 (8) ◽  
pp. 2651
Author(s):  
Zachary C. Pope ◽  
Charles Huang ◽  
David Stodden ◽  
Daniel J. McDonough ◽  
Zan Gao
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Elementary School ◽  
Physical Education ◽  
Sedentary Behavior ◽  
Body Mass ◽  
Weight Status ◽  
After School ◽  
Healthy Weight

Children’s body mass index may affect physical activity (PA) participation. Therefore, this study examined the effect of children’s weight status on underserved elementary school children’s PA and sedentary behavior (SB) throughout the segmented day. Participants were 138 children (X¯age = 8.14 years). Children’s height and weight were measured with subsequent classification of children as healthy weight or overweight/obese. Durations of moderate-to-vigorous PA (MVPA), light PA (LPA), and SB during physical education (PE), morning recess, lunch recess, after school, and overall were assessed via accelerometry over three days. Independent t-tests evaluated differences in children’s MVPA, LPA, and SB during each daily segment by weight status. Significantly higher MVPA was observed for children of healthy weight status versus children with overweight/obesity during morning recess, t(136) = 2.15, p = 0.03, after school, t(136) = 2.68, p < 0.01, and overall, t(136) = 2.65, p < 0.01. Interestingly, comparisons of children of healthy weight status and children with overweight/obesity’s LPA and SB during the after-school segment revealed a trend wherein children with overweight/obesity participated in slightly greater LPA/less SB than children of healthy weight status. Higher MVPA was observed among children of healthy weight versus children with overweight/obesity during most daily segments. Concerted efforts should focus on increasing MVPA among children with overweight/obesity.

Cross-validation of pedometer-determined cut-points for healthy weight in British children from White and South Asian backgrounds

2014 ◽  
Vol 41 (5) ◽  
pp. 389-394 ◽  
Author(s):  
Michael J. Duncan ◽  
Emma L. J. Eyre ◽  
Elizabeth Bryant ◽  
Samantha L. Birch
Keyword(s):  
South Asian ◽  
Cross Validation ◽  
Healthy Weight ◽  
Cut Points ◽  
British Children

scholarly journals Cross‐validation of Actigraph derived accelerometer cut‐points for assessment of sedentary behaviour and physical activity in children aged 8‐11 years

2020 ◽  
Vol 109 (9) ◽  
pp. 1825-1830 ◽  
Author(s):  
Michael J. Duncan ◽  
Emma L. J. Eyre ◽  
Val Cox ◽  
Clare M. P. Roscoe ◽  
Mark A. Faghy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cross Validation ◽  
Cut Points ◽  
Accelerometer Cut Points

scholarly journals Healthy Weight Services in England before, during and after pregnancy: a mixed methods approach

2020 ◽  
Author(s):  
Frankie Fair ◽  
Katie Marvin-Dowle ◽  
Madelynne Arden ◽  
Hora Soltani
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Mixed Methods ◽  
Body Mass ◽  
Service Provision ◽  
Qualitative Data ◽  
Overweight And Obesity ◽  
Healthy Weight ◽  
Mixed Methods Approach ◽  
National Guidance

Abstract Background: Maternal overweight and obesity are associated with numerous adverse outcomes including higher rates of maternal and infant mortality and morbidity. Overweight and obesity before, during and after pregnancy are therefore a significant public health priority in England. This project explored and mapped healthy weight service availability at different stages of the childbearing cycle.Methods: A mixed methods approach included a questionnaire-based survey disseminated through Local Maternity Systems and semi-structured interviews or focus groups with providers and commissioners. Current maternal weight service provision was explored along with some of the barriers and facilitators for providing, delivering and accessing healthy weight services. Descriptive statistics were reported for quantitative data and content analysis was used for thematic reporting of qualitative data. Results: A total of 88 participants responded to the survey. All services were offered most frequently during pregnancy; with healthy eating and/or weight management services offered more often than physical activity services. Few services were targeted specifically at women with a raised body mass index. There was a high degree of inconsistency of service provision in different geographical areas. Several themes were identified from qualitative data including "equity and variation in service provision", "need for rigorous evaluation", "facilitators” to encourage better access or more effective service provision, including prioritisation, a change in focus and co-design of services, "barriers" encountered including financial and time obstacles, poor communication and insufficiently clear strategic national guidance and "the need for additional support”.Conclusions: There is a need to reduce geographical variation in services and the potential health inequalities that this may cause. Improving services for women with a raised body mass index as well as services which encourage physical activity require additional emphasis. There is a need for more robust evaluation of services to ensure they are fit for purpose. An urgent need for clear national guidance so that healthcare providers can more effectively assist mothers achieve a healthy weight gain was identified. Commissioners should consider implementing strategies to reduce the barriers of access identified such as childcare, transport, location and making services free at the point of use.

Data-Derived Treatment Duration Goal for Cervical Cancer: Should 8 Weeks Remain the Target in the Era of Concurrent Chemoradiation?

2017 ◽  
pp. 1-15 ◽  
Author(s):  
Julian C. Hong ◽  
Jonathan Foote ◽  
Gloria Broadwater ◽  
Julie A. Sosa ◽  
Stephanie Gaillard ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Treatment Duration ◽  
Cross Validation ◽  
Recursive Partitioning ◽  
Hazard Ratio ◽  
Recursive Partitioning Analysis ◽  
Rank Test ◽  
Cut Points ◽  
Cut Point ◽  
Lower Stage

Purpose Prior studies have demonstrated the importance of treatment duration (TD) in radiation therapy (RT) for cervical cancer, with an 8-week goal based primarily on RT alone. This study uses a contemporary cohort to estimate the time point by which completion of chemoradiation therapy is most critical. Patients and Methods The National Cancer Database was queried for women with nonmetastatic cervical cancer diagnosed from 2004 to 2012 who underwent chemotherapy, external beam RT, and brachytherapy. Data-derived TD cut points for overall survival (OS) were computed by using recursive partitioning analysis with bootstrapped aggregation (bagging) and 10-fold cross-validation. Models were independently trained with 70% of the population and validated on 30% of the population by log-rank test with and without propensity matching. Multivariable Cox proportional hazards regression was performed for the entire cohort. Results In all, 7,355 women were identified with a median TD of 57 days. Bagged recursive partitioning analysis converged to a mean cut point of 66.6 days (median, 64.5 days; interquartile range, 63.5 to 68.5 days). Cross-validation yielded a cut point of 63.3 days. Both cut points differentiated OS in validation. Younger age, recent diagnosis, geographic region, nongovernment insurance, shorter distance to treatment facility, metropolitan location, lower comorbidity, squamous cell carcinoma, lower stage, negative lymph nodes, and shorter TD were independently associated with longer OS. With adjustment, TD within the mean cut point (64.9 days; hazard ratio, 0.79; 95% CI, 0.73 to 0.87) and 56 days (hazard ratio, 0.87; 95% CI, 0.80 to 0.95) were associated with longer OS. Exploratory stratification suggested increasing OS detriment beyond 64 days. Conclusion Shorter chemoradiation TD in cervical cancer is associated with longer survival, and TD should be minimized as much as possible. The data-derived cut point was distributed around 64 days, with a continuous relationship between shorter TD and longer OS.

scholarly journals Ability of RT3 Accelerometer Cut Points to Detect Physical Activity Intensity in Ambulatory Children With Cerebral Palsy

2014 ◽  
Vol 31 (4) ◽  
pp. 310-324 ◽  
Author(s):  
Jennifer Ryan ◽  
Michael Walsh ◽  
John Gormley
Keyword(s):  
Physical Activity ◽  
Cerebral Palsy ◽  
Vigorous Physical Activity ◽  
Accelerometer Data ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Cut Point ◽  
Activity Intensity ◽  
Metabolic Equivalents ◽  
Children With Cerebral Palsy

This study investigated the ability of published cut points for the RT3 accelerometer to differentiate between levels of physical activity intensity in children with cerebral palsy (CP). Oxygen consumption (metabolic equivalents; METs) and RT3 data (counts/min) were measured during rest and 5 walking trials. METs and corresponding counts/min were classified as sedentary, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) according to MET thresholds. Counts were also classified according to published cut points. A published cut point exhibited an excellent ability to classify sedentary activity (sensitivity = 89.5%, specificity = 100.0%). Classification accuracy decreased when published cut points were used to classify LPA (sensitivity = 88.9%, specificity = 79.6%) and MVPA (sensitivity = 70%, specificity = 95–97%). Derivation of a new cut point improved classification of both LPA and MVPA. Applying published cut points to RT3 accelerometer data collected in children with CP may result in misclassification of LPA and MVPA.

scholarly journals Description of Physical Activity and Nutritional Status of Students in primary school Country Bendungan Kec. Pabelan Kab. Semarang

2021 ◽  
Vol 5 (2) ◽  
pp. 125
Author(s):  
Cahyo Wibowo ◽  
Venti Agustina ◽  
Tri Ari Kusnanto
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Nutritional Status ◽  
Skeletal Muscles ◽  
Quantitative Research ◽  
Health Condition ◽  
Index Formula ◽  
Activity Data ◽  
Class Iv ◽  
Activity Questionnaire

Physical activity is a movement that is obtained from the work of the skeletal muscles which require energy. Physical activity requires energy, depending on the intensity and work of the muscles. Nutritional status is a health condition that is built by nutrient intakes. The method in this research is descriptive quantitative research. The research respondents consisted of 52 students of class IV-VI. Physical activity data techniques used the PAQ-C (Physical Activity Questionnaire For Children) questionnaire and nutritional status used anthropometric measurements with body weight and height measurements, calculated using the BMI (Body Mass Index) formula. The results showed that most of the students at SDN Bendungan Kec. Pabelan Kab. Semarang. The results of the most physical activity were in the moderate category as many as 25 students with a proportion (48%) of 52 students, and while for the most nutritional status in the normal category, there were 29 students with a proportion (55.7%).

scholarly journals Gender and Physical Activity: Are they Associated with Body Mass Index in Elderly Jordanian People?

2018 ◽  
Vol 25 (3) ◽  
pp. 237-242
Author(s):  
Safa’a A. Al-Zeidaneen ◽  
Maha T. Hdaib ◽  
Yahya W. Najjar ◽  
Marwa A. Al-Zidaneen
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Elderly People ◽  
Body Mass ◽  
Elderly Persons ◽  
Healthy Weight ◽  
Cross Sectional ◽  
And Gender ◽  
Study Participants ◽  
Physically Inactive

Abstract Background: The number of elderly people is increasing worldwide, and elevated body mass index is a common problem that occur with elderly people, which can be directly or indirectly affected by level of physical activity and gender. So, it is essential to study the effect of both physical activity and gender on body mass index in elderly people. Material and methods: A cross-sectional, observational study was conducted on 120 elderly Jordanian people who live in Amman (62 women; 58 men) and evaluated for body mass index. Those participants were 40 elderly persons who attended the gym at least twice a week for the last 2 years, and 80 elderly who were home resident or physically inactive. A structured questionnaire was used to collect data about personal, social, health and life-style information including the daily activities and the anthropometric measurements for the study participants. Results: The results of this study showed that as elderly people become physically inactive, their body mass index will increase to become as overweight or obese. The results of this study also showed that body mass index of 30 and more was associated with gender, with majority of female elderly (50%) having body mass index of 30 or more. Conclusion: Physical activity should be maintained by both genders in order to prevent obesity, primarily in women as they are more likely to become obese that men. Furthermore, body mass index should not exceed 30 in elderly. Physical activity is essential in order to obtain healthy weight.

Calibration of the Biotrainer Pro Activity Monitor in Children

2007 ◽  
Vol 19 (2) ◽  
pp. 145-158 ◽  
Author(s):  
Gregory J. Welk ◽  
Joey C. Eisenmann ◽  
Jodee Schaben ◽  
Stewart G. Trost ◽  
Darren Dale
Keyword(s):  
Physical Activity ◽  
Mixed Model ◽  
Cross Validation ◽  
Roc Curves ◽  
Activity Monitor ◽  
Moderate Intensity ◽  
Lower Sensitivity ◽  
Validation Data ◽  
Cut Point ◽  
Moderate Intensity Physical Activity

The unique physical and movement characteristics of children necessitate the development of accelerometer equations and cut points that are population specific. The purpose of this study is to develop an ecologically valid cut point for the Biotrainer Pro monitor that reflects a threshold for moderate-intensity physical activity in elementary school children. A sample of 30 children (ages 8−12) wore a Biotrainer monitor while completing a series of 7 movement tasks (calibration phase) and while participating in an organized group activity (cross-validation phase). Videotapes from each session were processed using a computerized direct-observation technique to provide a criterion measure of physical activity. Analyses involved the use of mixed-model regression and receiver operator characteristic (ROC) curves. The results indicated that a cut point of 4 counts/min provides the optimal balance between the related needs for sensitivity (accurately detecting activity) and specificity (limiting misclassification of activity as inactivity). Results with the cross-validation data demonstrated that this value yielded the best overall kappa (.58) and a high classification agreement (84%) for activity determination. The specificity of 93% demonstrates that the proposed cut point can accurately detect activity; however, the lower sensitivity value of 61% suggests that some minutes of activity might be incorrectly classified as inactivity. The cut point of 4 counts/min provides an ecologically valid cut point to capture physical activity in children using the Biotrainer Pro activity monitor.

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