W8 - Nutritional biomarkers study (NBS)

Investigator Names and Contact Information

Introduction/Intent

The principal DM trial results contrasted intervention and control groups in respect to breast cancer, colorectal cancer, CHD, and a range of other outcomes. These contrasts did not rely on nutrient and food consumption data for their validity, but the interpretation of the results depended on the assessment of the magnitude of the difference in dietary habits between DM intervention and control groups, and on the C-I differences for specific nutrients. Aside from blood concentrations for selected vitamins in the 6% CT subsample (4.3% in the DM cohort), we have only dietary self-report data from which to "estimate" individual consumption of specific nutrients. In particular FFQs are available at baseline, 1 year, and approximately every third year thereafter for DM women. The measurement properties of FFQs, as well as food records and recalls, in populations like the WHI DM cohort are substantially unknown, due to the typical absence of adequate objective marker substudies in nutritional epidemiologic studies to date. Data from the early 2000s on this topic (e.g., from NCI's OPEN Study, and from substudies in the European Prospective Investigation of Cancer) suggested systematic biases in nutritional self-report data of a magnitude that could greatly affect both the validity of observational studies and the interpretation of intervention trials in the nutritional epidemiology areas. For example, measurement properties may depend on such study subject characteristics as body mass, age, ethnicity, and social-desirability factors, and may depend on DM intervention assignment. Study results may be greatly affected if factors related to measurement biases are also related to the clinical outcomes of interest.

A doubly-labeled water (DLW) measure of short-term energy consumption, and a urinary nitrogen measure of protein consumption, are so-called "recovery" biomarkers for which a simple measurement model evidently holds. The blood-based biomarkers for various other nutrients are "concentration" biomarkers which respond to dietary intake, but for which a more complex measurement model is expected to be needed. Under this substudy the recovery biomarkers will allow a calibration of FFQ energy and protein assessments. A sample size of 500 will be sufficient to accommodate selected sources of systematic bias in this calibration procedure. Though some further methodology development is needed, the intention is to combine the recovery biomarkers with nutrient-specific concentration markers to calibrate FFQ consumption estimates for various other nutrients. The biomarker data on the subsample will then be used in a fundamental way, in conjunction with FFQ data on the entire cohort, in explanatory analyses in the DM trial. (This same basic approach will also be used to strengthen nutritional epidemiology analyses in the OS, or nutritional analyses in the combined CT/OS.)

A Nutrient Biomarker (sub)Study involving 250 DM intervention and 250 comparison women was proposed for implementation in early to mid-2004 and completion by late 2004 to early 2005. The additional data and specimens obtained in this substudy, though not able to address all aspects of DM dietary adherence, and of DM trial interpretation, demonstrates a "cutting-edge" attempt by WHI to do the best job in these areas that technology of the time allows.

This Core study was funded and implemented accordingly through the WHI. The final sample size was 544 with 268 DM intervention and 276 DM comparison women.

This sample size is perhaps a little on the small side for WHI purposes, though large by doubly-labeled water standards, and as large as seems advisable given DLW costs. Simulation studies at the CCC indicate that reliable corrected estimates of nutrient-specific Hazard Ratios will be able to be obtained with this sample size, and some DMC members are exploring the possibility of a later companion study in the OS using external funds (see AS 218). The NBS timing, while the DM intervention was still active, was needed to determine whether the dietary reporting habits of DM intervention and comparison women differ, and to separately calibrate FFQ estimates in the two groups for energy and other nutrients. The repeat application of the protocol in a subset of the women was necessary to assess biomarker variation, an integral element of the calibration procedure. One hundred women allows for sufficient precision in the estimation of measurement error variances. In actuality, 111 women participated in the repeat application of the protocol. Study subjects were selected from 12 geographically dispersed Clinical Centers to provide a suitable distribution of baseline BMI, race/ethnicity, and age so that the calibration procedure can reliably accommodate these factors.

The overall objective of this study was to collect objective (i.e., blood and urine) measures of dietary intake to use in regression calibration models in the Women's Health Initiative that will correct the random and systematic bias of dietary self-report. The calibrated nutrient intake data will then be used for a broad range of nutrient-disease analyses from the Women's Health Initiative.

The specific aims were:

  • 1.To determine the association of self-reported measures of dietary intake from a food frequency questionnaire (FFQ) with actual intake, with the help of objective measures (biomarkers) of macronutrient intake (energy, fat, protein).
  • 2.To determine the association of self-reported measures of dietary intake from a food frequency questionnaire (FFQ) with actual intake, with the help of biomarkers of micronutrient intake (tocopherols, retinol, folate, carotenoids, B-vitamins, selenium, potassium. sodium).

Results/Findings

See Publications: 464 (methods), 624 (cancer), 646 (CVD), 831 (protein and frailty), 941 (diabetes), 945 (protein and impaired renal function). Several additional papers have been published from W8, the titles and PubMed abstract links may be found by searching the WHI Bibliography. For a complete, up-to-date list of WHI papers related to this ancillary study, please use the searchable Papers section of this website.

Data Dictionaries and Study Documentation

This section displays all study-related data dictionaries and study-related files. The investigators for this study will upload the datasets, data dictionaries, and other study-related files. Study-related files will be made available to the public one year after the completion of the ancillary study, with the exception of the datasets, which will only be available to those with a Data Distribution Agreement. Those will be available to those with permission to download and will appear as a download link next to the data dictionary

Data Dictionaries

Name
Description
Namenbs_inv_contmeans_Oct2017.pdfDescription
Namereadme_Nov2019.pdfDescription

Study Documents

Name
Description
NameAppx A NBS Protocol V. 3 July 2004.pdfDescription
NameAppx B NBS Consent v 4 - July 2004.pdfDescription
NameAppx C Ppt materials NBS 24 hr urine instru v3 July 04.pdfDescription
NameAppx C Ppt materials NBS PPT invite letter V4 July 2004.pdfDescription
NameAppx C Ppt materials NBS study at a glance _v 4 July 04.pdfDescription
NameAppx D NBS FAQ for telephone screening interview 3-29-04.pdfDescription
NameAppx D NBS Telephone Screening Interview Script ver 2 July 2004.pdfDescription
NameBiomarker-calibrated Estimate Guidelines DIET ONLY (011218).docxDescription
NameBiomarker-calibrated Estimate Guidelines DIET ONLY (011218).pdfDescription
NameBulletin 2 (9-04).pdfDescription
NameBulletin 3 10-03.pdfDescription
NameBulletin 3 New Sec 6.pdfDescription
NameBulletin 3 Sec 9-New form 79.pdfDescription
NameF74V1 - NBS Screening Result.PDFDescription
NameF75V1 - NBS Visit 1.PDFDescription
NameF76V1 - NBS Visit 2.PDFDescription
NameF77V1 - NBS Visit 3.PDFDescription
NameF78V1 - NBS Visit 4.PDFDescription
NameF79V1 - Pre NBS Visit 3 Eligibility Reassessment Result.pdfDescription
NameNBS Manual TOC.pdfDescription
NameNBS Manual_July 2004.pdfDescription
NameNBS Visit 1 Eligibility Worksheet 05-11-04.pdfDescription
NameNBS Visit 2 _or Visit 4_ PABA Worksheet for Staff _8-16-04….pdfDescription
NameNBS Visit 2 Participant Update Worksheet 5-11-04.pdfDescription
NameNBS Visit 3 Eligibility Worksheet 5-11-04.pdfDescription
NameNBS Visit 4 Participant Update Worksheet 5-11-04.pdfDescription
Namereadme_Nov2019 (1).pdfDescription
NameSample_RcodeForBootstrap.RDescription

Related Papers

Development and validation of age specific predictive equations for total energy expenditure and physical activity levels for older adults, aged 65-79 years and ≥80 years

Approved Manuscript, Porter, Judi et al., 2023/6 MSID: 4937
Related Studies: 218, W8

Comparison of methods used to correct self-reported protein intake for systematic variation in reported energy intake using quantitative biomarkers of dietary intake

Amy Korth et al., 2020/2 PubMed #32030414 MSID: 708
Abstract BACKGROUND: Multiple methods of correcting nutrient intake for misreported energy intake have been proposed but have not been extensively compared. The availability of the Women's Health Initiative (WHI) data set, which includes several objective recovery biomarkers, offers an opportunity to compare these corrections with respect to protein intake. OBJECTIVE: We compared 5 energy-correction methods for self-reported dietary protein against urinary nitrogen-derived protein intake. METHOD...
Keywords: Underreporting; Energy Intake; Protein Intake; Biomarker; Calibration
Related Studies: W8

Protein intake and incident frailty in the Women’s Health Initiative Observational Study

Jeannette Beasley et al., 2010/5 PubMed #20487071 MSID: 831
To evaluate the association between protein intake and incident frailty.Prospective cohort study.Subset of the Women's Health Initiative Observational Study conducted at 40 clinical centers.Twenty-four thousand four hundred seventeen women aged 65 to 79 who were free of frailty at baseline with plausible self-reported energy intakes (600-5,000 kcal/day) according to the Food Frequency Questionnaire (FFQ).Baseline protein intake was estimated from the FFQ. Calibrated estimates of energy and prote...
Keywords: Frailty; Protein; Calibration; Essential Amino Acids; Measurement Error
Related Studies: 179, W8

Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative

Marian Neuhouser et al., 2008/3 PubMed #18344516 MSID: 464
Underreporting of energy consumption by self-report is well-recognized, but previous studies using recovery biomarkers have not been sufficiently large to establish whether participant characteristics predict misreporting. In 2004-2005, 544 participants in the Women's Health Initiative Dietary Modification Trial completed a doubly labeled water protocol (energy biomarker), 24-hour urine collection (protein biomarker), and self-reports of diet (assessed by food frequency questionnaire (FFQ)), exe...
Keywords: Biomarkers; Energy Intake; Protein Intake; Doubly Labeled Water; Epidemiologic Methods; Nutritional Epidemiology; Measurement Error
Related Studies: W8

Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women’s Health Initiative

Lesley Tinker et al., 2011/11 PubMed #22071707 MSID: 941
Self-report of dietary energy and protein intakes has been shown to be systematically and differentially underreported.We assessed and compared the association of diabetes among postmenopausal women with biomarker-calibrated and uncalibrated dietary energy and protein intakes from food-frequency questionnaires (FFQs).The analyses were performed for 74,155 participants of various race-ethnicities from the Women's Health Initiative. Uncalibrated and calibrated energy and protein intakes from FFQs ...
Keywords: Ffq; Energy; Protein; Biomarker-Calibrations; Diabetes
Related Studies: W8

Regression calibration to correct correlated errors in outcome and exposure

Pamela Shaw et al., 2021/11 PubMed #33086428 MSID: 2397
Measurement error arises through a variety of mechanisms. A rich literature exists on the bias introduced by covariate measurement error and on methods of analysis to address this bias. By comparison, less attention has been given to errors in outcome assessment and non-classical covariate measurement error. We consider an extension of the regression calibration method to settings with errors in a continuous outcome, where the errors may be correlated with prognostic covariates or with covariate...
Keywords: Differential Error; Linear Regression; Measurement Error; Moment Correction; Nutritional Epidemiology; Regression Calibration
Related Studies: W8

Robust best linear estimator for Cox regression with instrumental variables in whole cohort and surrogates with additive measurement error in calibration sample

Ching-Yun (C.Y.) Wang et al., 2016/8 PubMed #27546625 MSID: 2022
Biomedical researchers are often interested in estimating the effect of an environmental exposure in relation to a chronic disease endpoint. However, the exposure variable of interest may be measured with errors. In a subset of the whole cohort, a surrogate variable is available for the true unobserved exposure variable. The surrogate variable satisfies an additive measurement error model, but it may not have repeated measurements. The subset in which the surrogate variables are available is cal...
Keywords: None Provided
Related Studies: W8

Biomarker-calibrated estimates of dietary self-reported intake and risk of incident underweight, normal weight, overweight, and obesity among the Women’s Health Initiative

Approved Proposal, Tinker, Lesley et al., 2012/8 MSID: 1903
Keywords: Body Weight; Dietary Measurement Error; Ffq; 4-Day Food Record; 24-Hour Dietary Recall; Dietary Assessment; Obesity
Related Studies: 498, W8, W27

Women’s Health Initiative dietary modification trial: Update & application of biomarker calibration to self-report measures of diet and physical activity

Publication, Mossavar-Rahmani, Yasmin et al., 2013/6 MSID: 2106
Keywords: Regression Calibration; Recovery Biomarkers; Energy; Protein
Related Studies: 218, W8

Development and validation of new predictive equations for the resting metabolic rate of older adults aged >65 y

Judi Porter et al., 2023/4 PubMed #37054885 MSID: 4359
Background: The aging process alters the resting metabolic rate (RMR), but it still accounts for 50%-70% of the total energy needs. The rising proportion of older adults, especially those over 80 y of age, underpins the need for a simple, rapid method to estimate the energy needs of older adults. Objectives: This research aimed to generate and validate new RMR equations specifically for older adults and to report their performance and accuracy. Methods: Data were sourced to form an international...
Keywords: Older Adults; Energy Requirements; Total Energy Expenditure; Doubly Labelled Water; Metabolism
Related Studies: 218, W8

Practical considerations for sandwich variance estimation in two-stage regression settings

Lillian Boe et al., 2024/2 PubMed #38012109 MSID: 4678
We present a practical approach for computing the sandwich variance estimator in two-stage regression model settings. As a motivating example for two-stage regression, we consider regression calibration, a popular approach for addressing covariate measurement error. The sandwich variance approach has been rarely applied in regression calibration, despite it requiring less computation time than popular resampling approaches for variance estimation, specifically the bootstrap. This is likely due t...
Keywords: Regression Calibration; Measurement Error; Misclassification; Sandwich Variance; Survival Analysis
Related Studies: W8

Dietary supplementation, biological aging, and dementia risk/incidence in the Women’s Health Initiative

Approved Proposal, Reynolds, Lindsay et al., 2025/9 MSID: 5377
Keywords: Dementia; Diet Quality; Healthy Eating Index; Cognition; Total Nutrient Index
Related Studies: 39, 218, 233, 244, 690, W8

Development of new predictive fat-free mass algorithm for use in predicting energy expenditure in adults aged 65-79 years and ≥80 years

Approved Proposal, Ward, Leigh et al., 2025/10 MSID: 5417
Keywords: Resting Energy Expenditure/Resting Metabolic Rate; Body Composition Fat-Free Mass
Related Studies: 218, W8

Investigating the impact of body composition on the estimation of resting metabolic rate: new equations for adults aged ≥65 years developed using cross-sectional data

Judi Porter et al., 2025/4 PubMed #40180499 MSID: 4990
Background: Due to changes in body composition during aging, the inclusion of body composition measures as a variable within equations to predict resting metabolic rate (RMR) may improve their predictive accuracy. Objectives: This analysis of cross-sectional data aimed to develop and validate new RMR equations for older adults (≥65 y) incorporating variables for body composition, to predict performance and accuracy, and to explore the relative contribution of body composition variables acting di...
Keywords: Older Adults; Energy Requirements; Total Energy Expenditure; Metabolism
Related Studies: 218, W8

Compared with linear equations, predicting older adults’ energy requirements using allometry provides a more physiologically/biologically interpretable model (“construct” validity) and a superior fit

Approved Manuscript, Porter, Judi et al., 2026/8 MSID: 5540
Keywords: Older Adults; Energy Requirements; Total Energy Expenditure; Doubly Labelled Water; Allometric Analysis
Related Studies: 218, W8

Total energy expenditure in adults aged 65 years and over measured using doubly-labelled water: international data availability and opportunities for data sharing

Judi Porter et al., 2018/3 PubMed #29580255 MSID: 3335
Background: Increasing population lifespan necessitates a greater understanding of nutritional needs in older adults (65 year and over). A synthesis of total energy expenditure in the older population has not been undertaken and is needed to inform nutritional requirements. We aimed to establish the extent of the international evidence for total energy expenditure (TEE) using doubly-labelled water (DLW) in older adults (65 years and over), report challenges in obtaining primary data, and make re...
Keywords: Total Energy Expenditure; Body Composition; Doubly-Labeled Water; Elderly
Related Studies: 218, W8

Associations of calibrated dietary sodium and potassium intakes with the risk of heart failure and its subtypes in postmenopausal women: the Women’s Health Initiative

Approved Manuscript, Gu, Xiao et al., 2018/1 MSID: 3119
Keywords: Dietary Sodium; Dietary Potassium; Heart Failure; Cardiovascular Disease; Calibration
Related Studies: 218, 510, W8

Higher biomarker-calibrated protein intake is not associated with impaired renal function in postmenopausal women

Jeannette Beasley et al., 2011/6 PubMed #21653574 MSID: 945
With aging, renal function tends to decline, as evidenced by reduced glomerular filtration rate. High-protein intake may further stress the kidneys by causing sustained hyperfiltration. To investigate whether dietary protein is associated with impaired renal function, we used data from 2 nested case-control studies within the Women's Health Initiative Observational Study (n = 2419). We estimated protein intake using a FFQ and estimated glomerular filtration rate (eGFR) from cystatin C. To accoun...
Keywords: Renal Function; Protein; Calibration; Aging
Related Studies: BA9, W8

An approximate quasi-likelihood approach for error-prone failure time outcomes and exposures

Lillian Boe et al., 2021/10 PubMed #34519082 MSID: 3885
Measurement error arises commonly in clinical research settings that rely on data from electronic health records or large observational cohorts. In particular, self-reported outcomes are typical in cohort studies for chronic diseases such as diabetes in order to avoid the burden of expensive diagnostic tests. Dietary intake, which is also commonly collected by self-report and subject to measurement error, is a major factor linked to diabetes and other chronic diseases. These errors can bias exp...
Keywords: Em Algorithm; Measurement Error; Misclassification; Proportional Hazards; Regression Calibration; Survival Analysis
Related Studies: W8

Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women

Ross Prentice et al., 2009/3 PubMed #19258487 MSID: 624
The authors previously reported equations, derived from the Nutrient Biomarker Study within the Women's Health Initiative, that produce calibrated estimates of energy, protein, and percentage of energy from protein consumption from corresponding food frequency questionnaire estimates and data on other factors, such as body mass index, age, and ethnicity. Here, these equations were applied to yield calibrated consumption estimates for 21,711 women enrolled in the Women's Health Initiative dietary...
Keywords: Biomarker; Calibration; Cancer; Protein; Total Energy
Related Studies: W8

Biomarker-calibrated energy and protein consumption and cardiovascular disease risk among postmenopausal women

Ross Prentice et al., 2011/1 PubMed #21206366 MSID: 646
Nutritional epidemiology cohort studies primarily use food frequency questionnaires (FFQs). In part because FFQs are more reliable for nutrient densities than for absolute nutrient consumption, reports from association studies typically present only nutrient density measures in relation to disease risk.We used objective biomarkers to correct FFQ assessments for measurement error, and examined absolute energy and protein consumption in relation to cardiovascular disease incidence. FFQs and subseq...
Keywords: Biomarker; Calibration; Cardiovascular Disease; Protein; Total Energy
Related Studies: W8