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

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

Research output: Contribution to journalArticle

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Abstract

Background: Self-report of dietary energy and protein intakes has been shown to be systematically and differentially underreported. Objective: 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). Design: 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 were assessed for associations with incident diabetes by using HR estimates based on Cox regression. Results: A 20% increment in uncalibrated energy consumption was associated with increased diabetes risk (HR) of 1.03 (95% CI: 1.01, 1.05), 2.41 (95% CI: 2.06, 2.82) with biomarker calibration, and 1.30 (95% CI: 0.96, 1.76) after adjustment for BMI. A 20% increment in uncalibrated protein (g/d) resulted in an HR of 1.05 (95% CI: 1.03, 1.07), 1.82 (95% CI: 1.56, 2.12) with calibration, and 1.16 (95% CI: 1.05, 1.28) with adjustment for BMI. A 20% increment in uncalibrated protein density (% of energy from protein) resulted in an HR of 1.13 (95% CI: 1.09, 1.17), 1.01 (95% CI: 0.75, 1.37) with calibration, and 1.19 (95% CI: 1.07, 1.32) with adjustment for BMI. Conclusions: Higher protein and total energy intakes (calibrated) appear to be associated with a substantially increased diabetes risk that may be mediated by an increase in body mass over time. Diet-disease associations without correction of self-reported measurement error should be viewed with caution. This trial is registered at clinicaltrials.gov as NCT00000611.

Original languageEnglish (US)
Pages (from-to)1600-1606
Number of pages7
JournalAmerican Journal of Clinical Nutrition
Volume94
Issue number6
DOIs
StatePublished - Dec 1 2011

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Dietary Proteins
Women's Health
Energy Intake
Biomarkers
Calibration
Proteins
Food
Self Report
Diet

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

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Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative. / Tinker, Lesley F.; Sarto, Gloria E.; Howard, Barbara V.; Huang, Ying; Neuhouser, Marian L.; Mossavar-Rahmani, Yasmin; Beasley, Jeannette M.; Margolis, Karen L.; Eaton, Charles B.; Phillips, Lawrence S.; Prentice, Ross L.

In: American Journal of Clinical Nutrition, Vol. 94, No. 6, 01.12.2011, p. 1600-1606.

Research output: Contribution to journalArticle

Tinker, LF, Sarto, GE, Howard, BV, Huang, Y, Neuhouser, ML, Mossavar-Rahmani, Y, Beasley, JM, Margolis, KL, Eaton, CB, Phillips, LS & Prentice, RL 2011, 'Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative', American Journal of Clinical Nutrition, vol. 94, no. 6, pp. 1600-1606. https://doi.org/10.3945/ajcn.111.018648
Tinker, Lesley F. ; Sarto, Gloria E. ; Howard, Barbara V. ; Huang, Ying ; Neuhouser, Marian L. ; Mossavar-Rahmani, Yasmin ; Beasley, Jeannette M. ; Margolis, Karen L. ; Eaton, Charles B. ; Phillips, Lawrence S. ; Prentice, Ross L. / Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative. In: American Journal of Clinical Nutrition. 2011 ; Vol. 94, No. 6. pp. 1600-1606.
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abstract = "Background: Self-report of dietary energy and protein intakes has been shown to be systematically and differentially underreported. Objective: 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). Design: 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 were assessed for associations with incident diabetes by using HR estimates based on Cox regression. Results: A 20{\%} increment in uncalibrated energy consumption was associated with increased diabetes risk (HR) of 1.03 (95{\%} CI: 1.01, 1.05), 2.41 (95{\%} CI: 2.06, 2.82) with biomarker calibration, and 1.30 (95{\%} CI: 0.96, 1.76) after adjustment for BMI. A 20{\%} increment in uncalibrated protein (g/d) resulted in an HR of 1.05 (95{\%} CI: 1.03, 1.07), 1.82 (95{\%} CI: 1.56, 2.12) with calibration, and 1.16 (95{\%} CI: 1.05, 1.28) with adjustment for BMI. A 20{\%} increment in uncalibrated protein density ({\%} of energy from protein) resulted in an HR of 1.13 (95{\%} CI: 1.09, 1.17), 1.01 (95{\%} CI: 0.75, 1.37) with calibration, and 1.19 (95{\%} CI: 1.07, 1.32) with adjustment for BMI. Conclusions: Higher protein and total energy intakes (calibrated) appear to be associated with a substantially increased diabetes risk that may be mediated by an increase in body mass over time. Diet-disease associations without correction of self-reported measurement error should be viewed with caution. This trial is registered at clinicaltrials.gov as NCT00000611.",
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AU - Tinker, Lesley F.

AU - Sarto, Gloria E.

AU - Howard, Barbara V.

AU - Huang, Ying

AU - Neuhouser, Marian L.

AU - Mossavar-Rahmani, Yasmin

AU - Beasley, Jeannette M.

AU - Margolis, Karen L.

AU - Eaton, Charles B.

AU - Phillips, Lawrence S.

AU - Prentice, Ross L.

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AB - Background: Self-report of dietary energy and protein intakes has been shown to be systematically and differentially underreported. Objective: 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). Design: 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 were assessed for associations with incident diabetes by using HR estimates based on Cox regression. Results: A 20% increment in uncalibrated energy consumption was associated with increased diabetes risk (HR) of 1.03 (95% CI: 1.01, 1.05), 2.41 (95% CI: 2.06, 2.82) with biomarker calibration, and 1.30 (95% CI: 0.96, 1.76) after adjustment for BMI. A 20% increment in uncalibrated protein (g/d) resulted in an HR of 1.05 (95% CI: 1.03, 1.07), 1.82 (95% CI: 1.56, 2.12) with calibration, and 1.16 (95% CI: 1.05, 1.28) with adjustment for BMI. A 20% increment in uncalibrated protein density (% of energy from protein) resulted in an HR of 1.13 (95% CI: 1.09, 1.17), 1.01 (95% CI: 0.75, 1.37) with calibration, and 1.19 (95% CI: 1.07, 1.32) with adjustment for BMI. Conclusions: Higher protein and total energy intakes (calibrated) appear to be associated with a substantially increased diabetes risk that may be mediated by an increase in body mass over time. Diet-disease associations without correction of self-reported measurement error should be viewed with caution. This trial is registered at clinicaltrials.gov as NCT00000611.

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