Marian L. Neuhouser
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View article: Supplemental Table S2 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Table S2 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Table S2: Model results for baseline and time-varying quartile analysis
View article: Supplemental Figure S1 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Figure S1 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Figure S1: CONSORT Diagram of participants included in the analyses
View article: Data from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Data from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Background:Determine if dual-energy X-ray absorptiometry (DXA)–derived adiposity was associated with colorectal cancer incidence and mortality in postmenopausal women from the Women’s Health Initiative DXA cohort.Methods:Whole-body DXA sca…
View article: Supplemental Table S3 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Table S3 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Table S3: Model results separated out for colorectal, colon, and rectal cancer incidence
View article: Supplemental Figure S2 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Figure S2 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Figure S2: Spearman's Rank Correlations of baseline fat measurements
View article: Supplemental Table S4 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Table S4 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Table S4: Model results stratified by BMI category
View article: Supplemental Table S5 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Table S5 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Table S5: Model results stratified by race and ethnicity
View article: Supplemental Table S1 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Supplemental Table S1 from Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Supplemental Table S1: Model results additionally adjusted for BMI and SMI, and time-varying model results
View article: Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women
Dual-energy X-ray Absorptiometry–Derived Adiposity and Colorectal Cancer Incidence and Mortality in Postmenopausal Women Open
Background: Determine if dual-energy X-ray absorptiometry (DXA)–derived adiposity was associated with colorectal cancer incidence and mortality in postmenopausal women from the Women’s Health Initiative DXA cohort. Methods: Whole-body DXA …
View article: Corrigendum to “The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition. [Current Developments in Nutrition, Volume 9, Issue 5, May 2025, 107435]”
Corrigendum to “The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition. [Current Developments in Nutrition, Volume 9, Issue 5, May 2025, 107435]” Open
[This corrects the article DOI: 10.1016/j.cdnut.2025.107435.].
View article: Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study
Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study Open
In healthy humans, diet impacts microbial metabolism and enzymatic activity but not the overall diversity of the gut microbiome. This emphasizes the relevance of dietary components in activating expression of specific bacterial genes and t…
View article: Genome-wide association study for lung cancer in 6531 African Americans reveals new susceptibility loci
Genome-wide association study for lung cancer in 6531 African Americans reveals new susceptibility loci Open
Despite lung cancer affecting all races and ethnicities, disparities are observed in incidence and mortality rates among different ethnic groups in the United States. Non-Hispanic African Americans had a high incidence rate of lung cancer …
View article: Metabolic Plasticity of the Gut Microbiome in Response to Diets Differing in Glycemic Load in a Random Crossover Design Intervention
Metabolic Plasticity of the Gut Microbiome in Response to Diets Differing in Glycemic Load in a Random Crossover Design Intervention Open
View article: Dietary Supplement Use Is Associated With Serum Nutrient Biomarkers Among Postmenopausal Women: Results From a Controlled Feeding Study
Dietary Supplement Use Is Associated With Serum Nutrient Biomarkers Among Postmenopausal Women: Results From a Controlled Feeding Study Open
View article: Author Correction: Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
Author Correction: Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake Open
View article: The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition
The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition Open
This trial was registered at Phase 1 Seattle Dietary Biomarkers Development Center (P1-SDBDC) as NCT05580653, at Fruit and Vegetable Biomarker Discovery (UCD-DBDC) as NCT05621863, and at Dietary Biomarkers Intervention Core as NCT05616585.
View article: Data from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Data from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Body mass index (BMI) may misclassify obesity-related cancer (ORC) risk, as metabolic dysfunction can occur across BMI levels. We hypothesized that metabolic dysfunction at any BMI increases ORC risk compared with normal BMI without metabo…
View article: Supplemental Table 2 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 2 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 2. Association between metabolic phenotypes defined by Wildman criteria with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 20,593).
View article: Supplemental Table 6 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 6 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 6. Association between metabolic phenotypes defined by Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 23,232).
View article: Supplemental Table 3 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 3 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 3. Association between metabolic phenotypes defined by ATP III criteria with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 23,915).
View article: Supplemental Figure 3 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 3 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 3. Kaplan–Meier cumulative incidence curves for obesity-related cancer risk among Women’s Health Initiative (WHI) participants according to metabolic phenotype defined by (A) Wildman criteria, (B) ATP III criteria, (C) …
View article: Supplemental Figure 2 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 2 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 2. Directed Acyclic Graph (DAG). Directed Acyclic Graph (DAG) illustrating potential causal relationships among covariates, exposure, and outcome measures in this study.
View article: Supplemental Table 8 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 8 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 8. Association between individual metabolic dysfunction components with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 20,593).
View article: Supplemental Table 4 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 4 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 4. Association between metabolic phenotypes defined by high sensitivity C-Reactive Protein (hs-CRP) ≥ 3 mg/L with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 21,245).
View article: Supplemental Table 1 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 1 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 1. Criteria for metabolic phenotype classification. HDL high density lipoprotein cholesterol; HOMA-IR Homeostatic Model Assessment for Insulin Resistance ; hs-CRP high sensitive C-reactive protein
View article: Supplemental Table 7 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Table 7 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Table 7. Association between metabolic phenotypes defined by Wildman criteria with obesity-related cancer (ORC) risk after excluding participants diagnosed with ORC within the first three years of follow-up in the Women’s Heal…
View article: Supplemental Figure 7 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 7 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 7. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) with obesity-related cancer risk, stratified by cancer ty…
View article: Supplemental Figure 5 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 5 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 5. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by ATP III criteria with obesity-related cancer risk, stratified by cancer type among postmenopausal women in the Women’s …
View article: Supplemental Figure 4 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 4 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 4. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by the Wildman criteria with obesity-related cancer risk, stratified by cancer type among postmenopausal women in the Wome…
View article: Supplemental Figure 6 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative
Supplemental Figure 6 from Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative Open
Supplemental Figure 6. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by C-Reactive Protein (hs-CRP) (A) ≥ 3 mg/L, (B) ≥ 10 mg/L with obesity-related cancer risk, stratified by cancer type amo…