The Report of the US Physical Activity Guidelines Advisory Committee: Important Findings for Employers
In: American journal of health promotion, Band 33, Heft 2, S. 313-314
ISSN: 2168-6602
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In: American journal of health promotion, Band 33, Heft 2, S. 313-314
ISSN: 2168-6602
In: Evaluation and Program Planning, Band 29, Heft 4, S. 352-364
In: Evaluation and Program Planning, Band 57, S. 1-7
In: American journal of health promotion, Band 17, Heft 3, S. 171-182
ISSN: 2168-6602
Purpose. To test the effects of a community-based physical activity intervention designed to increase physical activity and to conduct an extensive process evaluation of the intervention. Design. Quasi-experimental. Setting. Two rural communities in South Carolina. One community received the intervention, and the other served as the comparison. Subjects. Public school students who were in fifth grade at the start of the study (558 at baseline) were eligible to participate. A total of 436 students participated over the course of the study. Intervention. The intervention included after-school and summer physical activity programs and home, school, and community components designed to increase physical activity in youth. The intervention took place over an 18-month period. Measures. Students reported after-school physical activity at three data collection points (prior to, during, and following the intervention) using the Previous Day Physical Activity Recall (PDPAR). They also completed a questionnaire designed to measure hypothesized psychosocial and environmental determinants of physical activity behavior. The process evaluation used meeting records, documentation of program activities, interviews, focus groups, and heart rate monitoring to evaluate the planning and implementation of the intervention. Results. There were no significant differences in the physical activity variables and few significant differences in the psychosocial variables between the intervention and comparison groups. The process evaluation indicated that the after-school and summer physical activity component of the intervention was implemented as planned, but because of resource and time limitations, the home, school, and community components were not implemented as planned. Conclusions. The intervention did not have a significant effect on physical activity in the target population of children in the intervention community. This outcome is similar to that reported in other studies of community-based physical activity intervention.
In: American journal of health promotion, Band 5, Heft 4, S. 298-304
ISSN: 2168-6602
Background. The ideal screening tool for worksite health screening programs has not yet been identified, and the effectiveness of screening programs in predicting future chronic disease risk factors status is not well understood. This study compared two commonly used screening tools, health-related questionnaires and measurement of physiological parameters, in terms of their ability to predict future chronic disease risk factor status in an employee population. Methods. Data were collected over a 10-year period from Liberty Corporation employees (N = 723). Baseline evaluation included the administration of questionnaires and measurement of physiological data. Follow-up evaluation measured physiological data only. Regression analyses identified the statistically significant predictors of future risk factor status using 1) baseline questionnaire data; 2) baseline physiological data; and 3) both questionnaire and physiological data as predictor variables. Results. Although both screening methods were able to predict future risk factor status, R2 values were higher in models including baseline physiological measures than models including questionnaire data only. Adding questionnaire data to physiological data provided little or no additional predictive ability. Discussion. These results suggest that physiological data, particularly baseline measures of a risk factor, are more predictive of future risk factor status than questionnaire data.
In: Evaluation and Program Planning, Band 75, S. 54-60
In: American journal of health promotion, Band 33, Heft 2, S. 312-326
ISSN: 2168-6602
In: Steene-Johannessen , J , Hansen , B H , Dalene , K E , Kolle , E , Northstone , K , Møller , N C , Grøntved , A , Wedderkopp , N , Kriemler , S , Page , A S , Puder , J J , Reilly , J , Sardinha , L U B , Van Sluijs , E M F , Andersen , L B , Van Der Ploeg , H , Ahrens , W , Flexeder , C , Standl , M , Shculz , H , Moreno , L A , De Henauw , S , Michels , N , Cardon , G , Ortega , F B , Ruiz , J , Aznar , S , Fogelholm , M , Decelis , A , Olesen , L G , Hjorth , M F , Santos , R , Vale , S , Christiansen , L B , Jago , R , Basterfield , L , Owen , C G , Nightingale , C M , Eiben , G , Polito , A , Lauria , F , Vanhelst , J , Hadjigeorgiou , C , Konstabel , K , Molnár , D , Sprengeler , O , Manios , Y , Harro , J , Kafatos , A , Anderssen , S A , Ekelund , U , Andersen , L B , Anderssen , S , Atkin , A J , Cardon , G , Davey , R , Ekelund , U , Esliger , D W , Hallal , P , Hansen , B H , Janz , K F , Kriemler , S , Møller , N , Northstone , K , Pate , R , Puder , J J , Reilly , J J , Salmon , J , Sardinha , L B , Sherar , L B & Van Sluijs , E M F 2020 , ' Variations in accelerometry measured physical activity and sedentary time across Europe - harmonized analyses of 47,497 children and adolescents ' , International Journal of Behavioral Nutrition and Physical Activity , vol. 17 , no. 1 , 38 . https://doi.org/10.1186/s12966-020-00930-x
Background: Levels of physical activity and variation in physical activity and sedentary time by place and person in European children and adolescents are largely unknown. The objective of the study was to assess the variations in objectively measured physical activity and sedentary time in children and adolescents across Europe. Methods: Six databases were systematically searched to identify pan-European and national data sets on physical activity and sedentary time assessed by the same accelerometer in children (2 to 9.9 years) and adolescents (≥10 to 18 years). We harmonized individual-level data by reprocessing hip-worn raw accelerometer data files from 30 different studies conducted between 1997 and 2014, representing 47,497 individuals (2-18 years) from 18 different European countries. Results: Overall, a maximum of 29% (95% CI: 25, 33) of children and 29% (95% CI: 25, 32) of adolescents were categorized as sufficiently physically active. We observed substantial country-A nd region-specific differences in physical activity and sedentary time, with lower physical activity levels and prevalence estimates in Southern European countries. Boys were more active and less sedentary in all age-categories. The onset of age-related lowering or leveling-off of physical activity and increase in sedentary time seems to become apparent at around 6 to 7 years of age. Conclusions: Two third of European children and adolescents are not sufficiently active. Our findings suggest substantial gender-, country-A nd region-specific differences in physical activity. These results should encourage policymakers, governments, and local and national stakeholders to take action to facilitate an increase in the physical activity levels of young people across Europe.
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