The public health importance of nutritional epidemiology research is discussed,along withmethodological challenges to obtaining reliable information on dietary approaches to chronicdisease prevention.Measurement issue...The public health importance of nutritional epidemiology research is discussed,along withmethodological challenges to obtaining reliable information on dietary approaches to chronicdisease prevention.Measurement issues in assessing dietary intake need to be addressed toobtain reliable disease association information.Self-reported dietary data typically incorporatemajor random and systematic biases.Intake biomarkers offer potential for more reliable analyses,but biomarkers have been established only for a few dietary variables,and these may be tooexpensive to apply to all participants in large epidemiologic cohorts.A possible way forwardinvolves additional nutritional biomarker development using high-dimensional metabolomicprofiling,using blood and urine specimens,in conjunction withfurther development of statisticalapproaches for accommodating measurement error with failure time response data.Statisticianshave the opportunity to contribute greatly to worldwide public health through the development of statistical methods to address these nutritional epidemiology research challenges,asis elaborated in this contribution.展开更多
We very much appreciate each of the three sets of comments on our manuscript.Our manuscript argued thatthe nutritional epidemiology research area,which is soimportant to worldwide public health,is burdened withchallen...We very much appreciate each of the three sets of comments on our manuscript.Our manuscript argued thatthe nutritional epidemiology research area,which is soimportant to worldwide public health,is burdened withchallenges in estimating dietary intakes,both shortterm intakes and intakes over the years or decades thatmay be relevant to chronic disease risk.The nutritional epidemiology literature having chronic diseaseoutcomes mostly relies on dietary self-report data.Forthe few dietary variables having an established objective measure(biomarker),comparison with self-reportdata suggests that the data include not only a large‘noise’component,which available statistical methods can typically accommodate,but frequently also alarge systematic bias component that,for example,maydepend on such study subject body mass index(BMI),age and ethnicity,among other factors.It is the needto address this systematic bias component of dietaryintake assessment that stimulates our call for additionalreliance on biomarkers,for additional biomarker development,and for the development of novel and flexible statistical methods for use in disease associationanalyses.展开更多
基金This manuscript was written with partial support from National Institutes of Health grants R01 CA210921,R01 CA119171 and P30 CA015704.
文摘The public health importance of nutritional epidemiology research is discussed,along withmethodological challenges to obtaining reliable information on dietary approaches to chronicdisease prevention.Measurement issues in assessing dietary intake need to be addressed toobtain reliable disease association information.Self-reported dietary data typically incorporatemajor random and systematic biases.Intake biomarkers offer potential for more reliable analyses,but biomarkers have been established only for a few dietary variables,and these may be tooexpensive to apply to all participants in large epidemiologic cohorts.A possible way forwardinvolves additional nutritional biomarker development using high-dimensional metabolomicprofiling,using blood and urine specimens,in conjunction withfurther development of statisticalapproaches for accommodating measurement error with failure time response data.Statisticianshave the opportunity to contribute greatly to worldwide public health through the development of statistical methods to address these nutritional epidemiology research challenges,asis elaborated in this contribution.
基金This manuscript was partially supported by U.S.National Institutes of Health[grant numbers R01CA210921,R01CA119171,and P30CA15704].
文摘We very much appreciate each of the three sets of comments on our manuscript.Our manuscript argued thatthe nutritional epidemiology research area,which is soimportant to worldwide public health,is burdened withchallenges in estimating dietary intakes,both shortterm intakes and intakes over the years or decades thatmay be relevant to chronic disease risk.The nutritional epidemiology literature having chronic diseaseoutcomes mostly relies on dietary self-report data.Forthe few dietary variables having an established objective measure(biomarker),comparison with self-reportdata suggests that the data include not only a large‘noise’component,which available statistical methods can typically accommodate,but frequently also alarge systematic bias component that,for example,maydepend on such study subject body mass index(BMI),age and ethnicity,among other factors.It is the needto address this systematic bias component of dietaryintake assessment that stimulates our call for additionalreliance on biomarkers,for additional biomarker development,and for the development of novel and flexible statistical methods for use in disease associationanalyses.
