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Other Medicine and Health Sciences Commons™
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Full-Text Articles in Other Medicine and Health Sciences
Dietary Carbohydrates And Breast Cancer Risk: A Prospective Study Of The Roles Of Overall Glycemic Index And Glycemic Load, Stephanie A. Navarro Silvera, Meera Jain, Geoffrey R. Howe, Anthony B. Miller, Thomas E. Rohan
Dietary Carbohydrates And Breast Cancer Risk: A Prospective Study Of The Roles Of Overall Glycemic Index And Glycemic Load, Stephanie A. Navarro Silvera, Meera Jain, Geoffrey R. Howe, Anthony B. Miller, Thomas E. Rohan
Department of Public Health Scholarship and Creative Works
We examined breast cancer risk in association with overall glycemic index (GI), glycemic load (GL), and dietary carbohydrate and sugar intake in a prospective cohort of 49,613 Canadian women enrolled in the National Breast Screening Study who completed a self‐administered food frequency questionnaire between 1980 and 1985. Linkages to national mortality and cancer databases yielded data on deaths and cancer incidence, with follow‐up ending between 1998 and 2000. During a mean follow‐up of 16.6 years, we observed 1,461 incident breast cancer cases. GI, GL, total carbohydrate and total sugar intake were not associated with breast cancer risk in the total …
Assessing Intervention Effects In A School-Based Nutrition Intervention Trial: Which Analytic Model Is Most Powerful?, Jessica B. Janega, David M. Murray, Sherri P. Varnell, Jonathan L. Blitstein, Amanda Birnbaum, Leslie A. Lytle
Assessing Intervention Effects In A School-Based Nutrition Intervention Trial: Which Analytic Model Is Most Powerful?, Jessica B. Janega, David M. Murray, Sherri P. Varnell, Jonathan L. Blitstein, Amanda Birnbaum, Leslie A. Lytle
Department of Public Health Scholarship and Creative Works
This article compares four mixed-model analyses valid for group-randomized trials (GRTs) involving a nested cohort design with a single pretest and posttest. This study makes estimates of intraclass correlations (ICCs) available to investigators planning GRTs addressing dietary outcomes. It also provides formulae demonstrating the potential benefits to the standard error of the intervention effect (σΔ) from adjustments for both fixed and time-varying covariates and correlations over time. These estimates will allow other researchers to use these variables to plan their studies by estimating a priori detectable differences and sample size requirements for any of the four analytic options. These methods …
Assessing The Most Powerful Analysis Method For School-Based Intervention Studies, Jessica B. Janega, David M. Murray, Sherri P. Varnell, Jonathan L. Blitstein, Amanda Birnbaum, Leslie A. Lytle
Assessing The Most Powerful Analysis Method For School-Based Intervention Studies, Jessica B. Janega, David M. Murray, Sherri P. Varnell, Jonathan L. Blitstein, Amanda Birnbaum, Leslie A. Lytle
Department of Public Health Scholarship and Creative Works
This article compares four mixed-model analyses valid for group-randomized trials (GRTs) involving a nested cohort design with a single pretest and a single posttest, the most common design used in GRTs. This study makes estimates of intraclass correlations (ICCs) available to investigators planning GRTs with alcohol, tobacco, and other drug measures as the outcomes of interest. It also provides formulae demonstrating the potential benefits to the standard error of the intervention effect of both adjustments for fixed and time-varying covariates, as well as correlations over time. These estimates will allow other researchers using these variables to plan their studies by …