BACKGROUND: Previous studies observed inverse associations of adherence to the alternate Mediterranean (aMED), Dietary Approaches to Stop Hypertension (DASH), and alternate Healthy Eating Index (aHEI) dietary patterns with risk of type 2 diabetes; however, their associations with gestational diabetes mellitus (GDM) risk are unknown. OBJECTIVE: This study aimed to assess usual prepregnancy adherence to well-known dietary patterns and GDM risk. DESIGN: Our study included 21,376 singleton live births reported from 15,254 participants of the Nurses' Health Study II cohort between 1991 and 2001. Pregnancies were free of prepregnancy chronic disease or previous GDM. Prepregnancy dietary pattern adherence scores were computed based on participants' usual intake of the patterns' components, assessed with a validated food-frequency questionnaire. Multivariable logistic regressions with generalized estimating equations were used to estimate the RRs and 95% CIs. RESULTS: Incident first-time GDM was reported in 872 pregnancies. All 3 scores were inversely associated with GDM risk after adjustment for several covariables. In a comparison of the multivariable risk of GDM in participants in the fourth and first quartiles of dietary pattern adherence scores, aMED was associated with a 24% lower risk (RR: 0.76; 95% CI: 0.60, 0.95; P-trend = 0.004), DASH with a 34% lower risk (RR: 0.66; 95% CI: 0.53, 0.82; P-trend = 0.0005), and aHEI with a 46% lower risk (RR: 0.54; 95% CI: 0.43, 0.68; P-trend < 0.0001). CONCLUSION: Prepregnancy adherence to healthful dietary patterns is significantly associated with a lower risk of GDM.
BACKGROUND: Previous studies observed inverse associations of adherence to the alternate Mediterranean (aMED), Dietary Approaches to Stop Hypertension (DASH), and alternate Healthy Eating Index (aHEI) dietary patterns with risk of type 2 diabetes; however, their associations with gestational diabetes mellitus (GDM) risk are unknown. OBJECTIVE: This study aimed to assess usual prepregnancy adherence to well-known dietary patterns and GDM risk. DESIGN: Our study included 21,376 singleton live births reported from 15,254 participants of the Nurses' Health Study II cohort between 1991 and 2001. Pregnancies were free of prepregnancy chronic disease or previous GDM. Prepregnancy dietary pattern adherence scores were computed based on participants' usual intake of the patterns' components, assessed with a validated food-frequency questionnaire. Multivariable logistic regressions with generalized estimating equations were used to estimate the RRs and 95% CIs. RESULTS: Incident first-time GDM was reported in 872 pregnancies. All 3 scores were inversely associated with GDM risk after adjustment for several covariables. In a comparison of the multivariable risk of GDM in participants in the fourth and first quartiles of dietary pattern adherence scores, aMED was associated with a 24% lower risk (RR: 0.76; 95% CI: 0.60, 0.95; P-trend = 0.004), DASH with a 34% lower risk (RR: 0.66; 95% CI: 0.53, 0.82; P-trend = 0.0005), and aHEI with a 46% lower risk (RR: 0.54; 95% CI: 0.43, 0.68; P-trend < 0.0001). CONCLUSION: Prepregnancy adherence to healthful dietary patterns is significantly associated with a lower risk of GDM.
Authors: W C Willett; F Sacks; A Trichopoulou; G Drescher; A Ferro-Luzzi; E Helsing; D Trichopoulos Journal: Am J Clin Nutr Date: 1995-06 Impact factor: 7.045
Authors: Assiamira Ferrara; Henry S Kahn; Charles P Quesenberry; Candice Riley; Monique M Hedderson Journal: Obstet Gynecol Date: 2004-03 Impact factor: 7.661
Authors: S Salvini; D J Hunter; L Sampson; M J Stampfer; G A Colditz; B Rosner; W C Willett Journal: Int J Epidemiol Date: 1989-12 Impact factor: 7.196
Authors: Cuilin Zhang; Michelle A Williams; Tanya K Sorensen; Irena B King; Mark M Kestin; Mary Lou Thompson; Wendy M Leisenring; Edward E Dashow; David A Luthy Journal: Epidemiology Date: 2004-09 Impact factor: 4.822
Authors: F M Sacks; E Obarzanek; M M Windhauser; L P Svetkey; W M Vollmer; M McCullough; N Karanja; P H Lin; P Steele; M A Proschan Journal: Ann Epidemiol Date: 1995-03 Impact factor: 3.797
Authors: A M Wolf; D J Hunter; G A Colditz; J E Manson; M J Stampfer; K A Corsano; B Rosner; A Kriska; W C Willett Journal: Int J Epidemiol Date: 1994-10 Impact factor: 7.196
Authors: J Meinila; A Valkama; S B Koivusalo; K Rönö; H Kautiainen; J Lindström; B Stach-Lempinen; J G Eriksson; M Erkkola Journal: Eur J Clin Nutr Date: 2017-02-01 Impact factor: 4.016
Authors: Ming Ding; Jorge Chavarro; Sjurdur Olsen; Yuan Lin; Sylvia H Ley; Wei Bao; Shristi Rawal; Louise G Grunnet; Anne Cathrine B Thuesen; James L Mills; Edwina Yeung; Stefanie N Hinkle; Wei Zhang; Allan Vaag; Aiyi Liu; Frank B Hu; Cuilin Zhang Journal: Diabetologia Date: 2018-06-12 Impact factor: 10.122
Authors: Sylvia E Badon; Daniel A Enquobahrie; Paige D Wartko; Raymond S Miller; Chunfang Qiu; Bizu Gelaye; Tanya K Sorensen; Michelle A Williams Journal: Am J Epidemiol Date: 2017-08-01 Impact factor: 4.897
Authors: Amelia Marí-Sanchis; Ginette Díaz-Jurado; F Javier Basterra-Gortari; Carmen de la Fuente-Arrillaga; Miguel A Martínez-González; Maira Bes-Rastrollo Journal: Eur J Nutr Date: 2017-03-11 Impact factor: 5.614
Authors: Deirdre K Tobias; Jorge E Chavarro; Michelle A Williams; Germaine M Buck Louis; Frank B Hu; Janet Rich-Edwards; Stacey A Missmer; Cuilin Zhang Journal: Am J Epidemiol Date: 2013-08-15 Impact factor: 4.897