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2.
Ann Epidemiol ; 27(11): 752-755, 2017 11.
Article in English | MEDLINE | ID: mdl-29173580

ABSTRACT

PURPOSE: This report describes Centers for Disease Control and Prevention programs that expose students to epidemiology and public health sciences (EPHS). METHODS: The Science Ambassador workshop targets middle and high school teachers and promotes teaching EPHS in the classroom. The National Science Olympiad Disease Detectives event is an extracurricular science competition for middle and high school students based on investigations of outbreaks and other public health problems. The Epidemiology Elective Program provides experiential learning activities for veterinary and medical students. RESULTS: As of 2016, 234 teachers from 37 states and territories and three other countries participated in SA workshops. Several are teaching units or entire courses in EPHS. The National Science Olympiad Disease Detectives event exposed approximately 15,000 middle and high school students to EPHS during the 2015-2016 school year. The Epidemiology Elective Program has exposed 1,795 veterinary and medical students to EPHS. CONCLUSIONS: Students can master fundamental concepts of EPHS as early as middle school and educators are finding ways to introduce this material into their classrooms. Programs to introduce veterinary and medical students to EPHS can help fill the gap in exposing older students to the field. Professional organizations can assist by making their members aware of these programs.


Subject(s)
Education, Medical/organization & administration , Epidemiology/education , Program Development , Public Health/education , Science/education , Students , Adult , Centers for Disease Control and Prevention, U.S. , Education, Veterinary , Female , Humans , Male , United States
3.
PLoS One ; 8(11): e77036, 2013.
Article in English | MEDLINE | ID: mdl-24223707

ABSTRACT

BACKGROUND: Physical inactivity is responsible for 5.3 million deaths annually worldwide. To measure physical activity energy expenditure, the doubly labeled water (DLW) method is the gold standard. However, questionnaires and accelerometry are more widely used. We compared physical activity measured by accelerometer and questionnaire against total (TEE) and physical activity energy expenditure (PAEE) estimated by DLW. METHODS: TEE, PAEE (TEE minus resting energy expenditure) and body composition were measured using the DLW technique in 25 adolescents (16 girls) aged 13 years living in Pelotas, Brazil. Physical activity was assessed using the Actigraph accelerometer and by self-report. Physical activity data from accelerometry and self-report were tested against energy expenditure data derived from the DLW method. Further, tests were done to assess the ability of moderate-to-vigorous intensity physical activity (MVPA) to predict variability in TEE and to what extent adjustment for fat and fat-free mass predicted the variability in TEE. RESULTS: TEE varied from 1,265 to 4,143 kcal/day. It was positively correlated with physical activity (counts) estimated by accelerometry (rho = 0.57; p = 0.003) and with minutes per week of physical activity by questionnaire (rho = 0.41; p = 0.04). An increase of 10 minutes per day in moderate-to-vigorous intensity physical activity (MVPA) relates to an increase in TEE of 141 kcal/day. PAEE was positively correlated with accelerometry (rho = 0.64; p = 0.007), but not with minutes per week of physical activity estimated by questionnaire (rho = 0.30; p = 0.15). Physical activity by accelerometry explained 31% of the vssariability in TEE. By incorporating fat and fat-free mass in the model, we were able to explain 58% of the variability in TEE. CONCLUSION: Objectively measured physical activity significantly contributes to the explained variance in both TEE and PAEE in Brazilian youth. Independently, body composition also explains variance in TEE, and should ideally be taken into account when using accelerometry to predict energy expenditure values.


Subject(s)
Accelerometry , Energy Metabolism , Adolescent , Body Composition , Cohort Studies , Female , Humans , Linear Models , Male , Motor Activity , Self Report
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