Literature DB >> 25016533

Simultaneous association of total energy consumption and activity-related energy expenditure with risks of cardiovascular disease, cancer, and diabetes among postmenopausal women.

Cheng Zheng, Shirley A Beresford, Linda Van Horn, Lesley F Tinker, Cynthia A Thomson, Marian L Neuhouser, Chongzhi Di, JoAnn E Manson, Yasmin Mossavar-Rahmani, Rebecca Seguin, Todd Manini, Andrea Z LaCroix, Ross L Prentice.   

Abstract

Total energy consumption and activity-related energy expenditure (AREE) estimates that have been calibrated using biomarkers to correct for measurement error were simultaneously associated with the risks of cardiovascular disease, cancer, and diabetes among postmenopausal women who were enrolled in the Women's Health Initiative at 40 US clinical centers and followed from 1994 to the present. Calibrated energy consumption was found to be positively related, and AREE inversely related, to the risks of various cardiovascular diseases, cancers, and diabetes. These associations were not evident in most corresponding analyses that did not correct for measurement error. However, an important analytical caveat relates to the role of body mass index (BMI) (weight (kg)/height (m)(2)). In the calibrated variable analyses, BMI was regarded, along with self-reported data, as a source of information on energy consumption and physical activity, and BMI was otherwise excluded from the disease risk models. This approach cannot be fully justified with available data, and the analyses herein imply a need for improved dietary and physical activity assessment methods and for longitudinal self-reported and biomarker data to test and relax modeling assumptions. Estimated hazard ratios for 20% increases in total energy consumption and AREE, respectively, were as follows: 1.49 (95% confidence interval: 1.18, 1.88) and 0.80 (95% confidence interval: 0.69, 0.92) for total cardiovascular disease; 1.43 (95% confidence interval: 1.17, 1.73) and 0.84 (95% confidence interval: 0.73, 0.96) for total invasive cancer; and 4.17 (95% confidence interval: 2.68, 6.49) and 0.60 (95% confidence interval: 0.44, 0.83) for diabetes.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  body mass index; cancer; cardiovascular disease; diabetes; energy consumption; hazard ratio; measurement error; physical activity

Mesh:

Year:  2014        PMID: 25016533      PMCID: PMC4143077          DOI: 10.1093/aje/kwu152

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  26 in total

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

Authors:  Lesley F Tinker; Gloria E Sarto; Barbara V Howard; Ying Huang; Marian L Neuhouser; Yasmin Mossavar-Rahmani; Jeannette M Beasley; Karen L Margolis; Charles B Eaton; Lawrence S Phillips; Ross L Prentice
Journal:  Am J Clin Nutr       Date:  2011-11-09       Impact factor: 7.045

2.  Outcomes ascertainment and adjudication methods in the Women's Health Initiative.

Authors:  J David Curb; Anne McTiernan; Susan R Heckbert; Charles Kooperberg; Janet Stanford; Michael Nevitt; Karen C Johnson; Lori Proulx-Burns; Lisa Pastore; Michael Criqui; Sandra Daugherty
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

3.  Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.

Authors:  Laurence S Freedman; Douglas Midthune; Raymond J Carroll; Nataŝa Tasevska; Arthur Schatzkin; Julie Mares; Lesley Tinker; Nancy Potischman; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2011-11-01       Impact factor: 4.897

4.  Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer.

Authors:  Ross L Prentice; Mary Pettinger; Lesley F Tinker; Ying Huang; Cynthia A Thomson; Karen C Johnson; Jeannette Beasley; Garnet Anderson; James M Shikany; Rowan T Chlebowski; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2013-09-24       Impact factor: 4.897

5.  Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI.

Authors:  Marian L Neuhouser; Chongzhi Di; Lesley F Tinker; Cynthia Thomson; Barbara Sternfeld; Yasmin Mossavar-Rahmani; Marcia L Stefanick; Stacy Sims; J David Curb; Michael Lamonte; Rebecca Seguin; Karen C Johnson; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2013-02-22       Impact factor: 4.897

6.  Protein intake and incident frailty in the Women's Health Initiative observational study.

Authors:  Jeannette M Beasley; Andrea Z LaCroix; Marian L Neuhouser; Ying Huang; Lesley Tinker; Nancy Woods; Yvonne Michael; J David Curb; Ross L Prentice
Journal:  J Am Geriatr Soc       Date:  2010-05-07       Impact factor: 5.562

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

Authors:  Ross L Prentice; Ying Huang; Lewis H Kuller; Lesley F Tinker; Linda Van Horn; Marcia L Stefanick; Gloria Sarto; Judith Ockene; Karen C Johnson
Journal:  Epidemiology       Date:  2011-03       Impact factor: 4.822

8.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

Authors:  Ross L Prentice; Yasmin Mossavar-Rahmani; Ying Huang; Linda Van Horn; Shirley A A Beresford; Bette Caan; Lesley Tinker; Dale Schoeller; Sheila Bingham; Charles B Eaton; Cynthia Thomson; Karen C Johnson; Judy Ockene; Gloria Sarto; Gerardo Heiss; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2011-07-15       Impact factor: 4.897

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

Authors:  Jeannette M Beasley; Aaron K Aragaki; Andrea Z LaCroix; Marian L Neuhouser; Lesley F Tinker; Jane A Cauley; Kristine E Ensrud; Rebecca D Jackson; Ross L Prentice
Journal:  J Nutr       Date:  2011-06-08       Impact factor: 4.798

10.  Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group.

Authors: 
Journal:  Control Clin Trials       Date:  1998-02
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  25 in total

1.  Measurement error models with interactions.

Authors:  Douglas Midthune; Raymond J Carroll; Laurence S Freedman; Victor Kipnis
Journal:  Biostatistics       Date:  2015-11-03       Impact factor: 5.899

2.  The Carbon Isotope Ratios of Serum Amino Acids in Combination with Participant Characteristics can be Used to Estimate Added Sugar Intake in a Controlled Feeding Study of US Postmenopausal Women.

Authors:  Hee Young Yun; Lesley F Tinker; Marian L Neuhouser; Dale A Schoeller; Yasmin Mossavar-Rahmani; Linda G Snetselaar; Linda V Van Horn; Charles B Eaton; Ross L Prentice; Johanna W Lampe; Diane M O'Brien
Journal:  J Nutr       Date:  2020-10-12       Impact factor: 4.798

3.  Dietary Assessment and Opportunities to Enhance Nutritional Epidemiology Evidence.

Authors:  Ross L Prentice
Journal:  Ann Intern Med       Date:  2020-01-28       Impact factor: 25.391

4.  A statistical model for measurement error that incorporates variation over time in the target measure, with application to nutritional epidemiology.

Authors:  Laurence S Freedman; Douglas Midthune; Kevin W Dodd; Raymond J Carroll; Victor Kipnis
Journal:  Stat Med       Date:  2015-07-14       Impact factor: 2.373

Review 5.  Options for basing Dietary Reference Intakes (DRIs) on chronic disease endpoints: report from a joint US-/Canadian-sponsored working group.

Authors:  Elizabeth A Yetley; Amanda J MacFarlane; Linda S Greene-Finestone; Cutberto Garza; Jamy D Ard; Stephanie A Atkinson; Dennis M Bier; Alicia L Carriquiry; William R Harlan; Dale Hattis; Janet C King; Daniel Krewski; Deborah L O'Connor; Ross L Prentice; Joseph V Rodricks; George A Wells
Journal:  Am J Clin Nutr       Date:  2016-12-07       Impact factor: 7.045

Review 6.  Prediction of activity-related energy expenditure using accelerometer-derived physical activity under free-living conditions: a systematic review.

Authors:  S Jeran; A Steinbrecher; T Pischon
Journal:  Int J Obes (Lond)       Date:  2016-02-02       Impact factor: 5.095

7.  Dietary biomarker evaluation in a controlled feeding study in women from the Women's Health Initiative cohort.

Authors:  Johanna W Lampe; Ying Huang; Marian L Neuhouser; Lesley F Tinker; Xiaoling Song; Dale A Schoeller; Soyoung Kim; Daniel Raftery; Chongzhi Di; Cheng Zheng; Yvonne Schwarz; Linda Van Horn; Cynthia A Thomson; Yasmin Mossavar-Rahmani; Shirley Aa Beresford; Ross L Prentice
Journal:  Am J Clin Nutr       Date:  2016-12-28       Impact factor: 7.045

8.  Application of blood concentration biomarkers in nutritional epidemiology: example of carotenoid and tocopherol intake in relation to chronic disease risk.

Authors:  Ross L Prentice; Mary Pettinger; Marian L Neuhouser; Lesley F Tinker; Ying Huang; Cheng Zheng; JoAnn E Manson; Yasmin Mossavar-Rahmani; Garnet L Anderson; Johanna W Lampe
Journal:  Am J Clin Nutr       Date:  2019-04-01       Impact factor: 7.045

9.  Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.

Authors:  Laurence S Freedman; Douglas Midthune; Raymond J Carroll; John M Commins; Lenore Arab; David J Baer; James E Moler; Alanna J Moshfegh; Marian L Neuhouser; Ross L Prentice; Donna Rhodes; Donna Spiegelman; Amy F Subar; Lesley F Tinker; Walter Willett; Victor Kipnis
Journal:  Epidemiology       Date:  2015-11       Impact factor: 4.822

10.  Diabetes in Sub-Saharan Africa: Distribution Based on Social Status in Libreville (Gabon).

Authors:  Guy S Padzys; Joseph P Ondo; Linda P Omouenze; Sylvie Zongo
Journal:  Ethn Dis       Date:  2015-11-05       Impact factor: 1.847

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