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Christifano DN, Crawford SA, Lee G, Brown AR, Camargo JT, Kerling EH, Gajewski BJ, Valentine CJ, Gustafson KM, DeFranco EA, Carlson SE. Docosahexaenoic acid (DHA) intake estimated from a 7-question survey identifies pregnancies most likely to benefit from high-dose DHA supplementation. Clin Nutr ESPEN 2023; 53:93-99. [PMID: 36657936 PMCID: PMC9852746 DOI: 10.1016/j.clnesp.2022.12.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/17/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Two randomized trials found women with low blood docosahexaenoic acid (DHA; an omega 3 fatty acid) had fewer early preterm births (<34 weeks gestation) if they were assigned to high dose DHA supplementation, however, there is currently no capacity for clinicians who care for pregnancies to obtain a blood assessment of DHA. Determining a way to identify women with low DHA intake whose risk could be lowered by high dose DHA supplementation is desired. OBJECTIVE To determine if assessing DHA intake can identify pregnancies that benefit from high dose DHA supplementation. STUDY DESIGN This secondary analysis used birth data from 1310 pregnant women who completed a 7-question food frequency questionnaire (DHA-FFQ) at 16.8 ± 2.5 weeks gestation that is validated to assess DHA status. They were then randomly assigned to a standard (200 mg/day) or high dose (800 or 1000 mg/day) DHA supplement for the remainder of pregnancy. Bayesian logistic regressions were fitted for early preterm birth and preterm birth as a function of DHA intake and assigned DHA dose. RESULTS Participants who consumed less than 150 mg/day DHA prior to 20 weeks' gestation (n = 810/1310, 58.1%) had a lower Bayesian posterior probability (pp) of early preterm birth if they were assigned to high dose DHA supplementation (1.4% vs 3.9%, pp = 0.99). The effect on preterm birth (<37 weeks) was also significant (11.3% vs 14.8%, pp = 0.97). CONCLUSION The DHA-FFQ can identify pregnancies that will benefit most from high dose DHA supplementation and reduce the risk of preterm birth. The DHA-FFQ is low burden to providers and patients and could be easily implemented in obstetrical practice.
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Affiliation(s)
- D N Christifano
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA; The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, USA
| | - S A Crawford
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA
| | - G Lee
- The University of Kansas Medical Center, Department of Obstetrics and Gynecology, Kansas City, KS, USA
| | - A R Brown
- The University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, USA
| | - J T Camargo
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA; The University of Kansas Medical Center, Department of Urology, Kansas City, KS, USA
| | - E H Kerling
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA
| | - B J Gajewski
- The University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, USA
| | - C J Valentine
- Banner University Medical Center, The University of Arizona, Department of Pediatrics, Tucson, AZ, USA
| | - K M Gustafson
- The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, USA; The University of Kansas Medical Center, Department of Neurology, Kansas City, KS, USA
| | - E A DeFranco
- The University of Cincinnati, Department of Obstetrics and Gynecology, Cincinnati, OH, USA
| | - S E Carlson
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA.
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Christifano DN, Crawford SA, Lee G, Gajewski BJ, Carlson SE. Utility of a 7- question online screener for DHA intake. Prostaglandins Leukot Essent Fatty Acids 2022; 177:102399. [PMID: 35063885 PMCID: PMC8825685 DOI: 10.1016/j.plefa.2022.102399] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/06/2022] [Accepted: 01/06/2022] [Indexed: 02/03/2023]
Abstract
The secondary analyses of two large, recently completed randomized clinical trials of DHA supplementation in pregnancy found that women with a low baseline DHA status benefited from randomization to a higher dose (800 vs 0 and 1000 vs 200 mg/day DHA). To obtain DHA status, it is necessary to obtain a blood sample and conduct an analysis using gas chromatography (GC) or GC-mass spectrometry (GCMS), both barriers to clinics where pregnant women receive advice on nutrition. Participants consuming less than 150 mg/day of DHA at baseline in our recent trial had a lower risk of early preterm birth and preterm birth when assigned to 1000 vs 200 m/day DHA. DHA intake was determined using a 7-question food frequency questionnaire administered by a trained nutritionist. Because the need for trained personnel to administer the questionnaire would be a barrier to implementing this finding in clinical management of pregnancy, the goal of this study was to determine if an online version of the questionnaire could be validly completed without assistance.
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Affiliation(s)
- D N Christifano
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA; The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, USA
| | - S A Crawford
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA
| | - G Lee
- The University of Kansas Medical Center, Department of Obstetrics and Gynecology, Kansas City, KS, USA
| | - B J Gajewski
- The University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, USA
| | - S E Carlson
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA.
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Crawford SA, Christifano DN, Kerling EH, Gajewski BJ, Valentine CJ, Gustafson KM, Mathis NB, Camargo JT, Gibbs HD, Sullivan DK, Sands SA, Carlson SE. Validation of an abbreviated food frequency questionnaire for estimating DHA intake of pregnant women in the United States. Prostaglandins Leukot Essent Fatty Acids 2022; 177:102398. [PMID: 35063884 PMCID: PMC8825687 DOI: 10.1016/j.plefa.2022.102398] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/03/2022] [Accepted: 01/06/2022] [Indexed: 02/08/2023]
Abstract
Docosahexaenoic acid (DHA) intake was estimated in pregnant women between 12- and 20-weeks' gestation using the National Cancer Institute's (NCI) Diet History Questionnaire-II (DHQ-II) and a 7-question screener designed to capture DHA intake (DHA Food Frequency Questionnaire, DHA-FFQ). Results from both methods were compared to red blood cell phospholipid DHA (RBC-DHA) weight percent of total fatty acids. DHA intake from the DHA-FFQ was more highly correlated with RBC-DHA (rs=0.528) than the DHQ-II (rs=0.352). Moreover, the DHA-FFQ allowed us to obtain reliable intake data from 1355 of 1400 participants. The DHQ-II provided reliable intake for only 847 of 1400, because many participants only partially completed it and it was not validated for Hispanic participants. Maternal age, parity, and socioeconomic status (SES) were also significant predictors of RBC-DHA. When included with estimated intake from the DHA-FFQ, the model accounted for 36% of the variation in RBC-DHA.
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Affiliation(s)
- S A Crawford
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - D N Christifano
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America; The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, United States of America
| | - E H Kerling
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - B J Gajewski
- The University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, United States of America
| | - C J Valentine
- Banner University Medical Center, The University of Arizona, Department of Pediatrics, Tucson, AZ, United States of America
| | - K M Gustafson
- The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, United States of America
| | - N B Mathis
- The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, United States of America
| | - J T Camargo
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - H D Gibbs
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - D K Sullivan
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - S A Sands
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America
| | - S E Carlson
- The University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, United States of America.
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