April 13, 2026

Medica Growth

Healthy Body, Smart Mind

Higher prenatal dietary glycemic index in the third trimester of pregnancy is associated with infant negative affect at 6 months

Higher prenatal dietary glycemic index in the third trimester of pregnancy is associated with infant negative affect at 6 months

  • Barker, D. J. P. The developmental origins of adult disease. J. Am. Coll. Nutr. 23, 588S–595S (2004).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Lau, C., Rogers, J. M., Desai, M. & Ross, M. G. Fetal programming of adult disease: implications for prenatal care. Obstet. Gynecol. 117, 978–985 (2011).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Gartstein, M. A. & Skinner, M. K. Prenatal influences on temperament development: the role of environmental epigenetics. Dev. Psychopathol. 30, 1269–1303 (2018).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Nolvi, S. et al. Maternal prenatal stress and infant emotional reactivity six months postpartum. J. Affect. Disord. 199, 163–170 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Gustafsson, H. C. et al. Maternal prenatal depression predicts infant negative affect via maternal inflammatory cytokine levels. Brain. Behav. Immun. 73, 470–481. (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Werner, E. et al. Higher maternal prenatal cortisol and younger age predict greater infant reactivity to novelty at 4 months: an observation-based study. Dev. Psychobiol. 55, 707–718 (2013).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Baibazarova, E. et al. Influence of prenatal maternal stress, maternal plasma cortisol and cortisol in the amniotic fluid on birth outcomes and child temperament at 3 months. Psychoneuroendocrinology 38, 907–915 (2013).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Gartstein, M. A. & Rothbart, M. K. Studying infant temperament via the revised infant behavior questionnaire. Infant Behav. Dev. 26, 64–86 (2003).

    Article 

    Google Scholar 

  • Nigg, J. T. Temperament and developmental psychopathology. J. Child Psychol. Psychiatry. 47, 395–422 (2006).

    Article 
    PubMed 

    Google Scholar 

  • Lonigan, C. J., Phillips, B. M. & Hooe, E. S. Relations of positive and negative affectivity to anxiety and depression in children: evidence from a latent variable longitudinal study. J. Consult. Clin. Psychol. 71, 465 (2003).

    Article 
    PubMed 

    Google Scholar 

  • Gartstein, M. A. & Bateman, A. E. Early manifestations of childhood depression: influences of infant temperament and parental depressive symptoms. Infant Child. Development: Int. J. Res. Pract. 17, 223–248 (2008).

    Article 
    MATH 

    Google Scholar 

  • Grant, V. V., Bagnell, A. L., Chambers, C. T. & Stewart, S. H. Early temperament prospectively predicts anxiety in later childhood. Can. J. Psychiatry. 54, 320–330 (2009).

    Article 
    PubMed 

    Google Scholar 

  • Keenan, K. Emotion dysregulation as a risk factor for child psychopathology. Clin. Psychol. Sci. Pract. 7, 418 (2000).

    Article 
    MATH 

    Google Scholar 

  • Kostyrka-Allchorne, K., Wass, S. V. & Sonuga‐Barke, E. J. Research review: do parent ratings of infant negative emotionality and self‐regulation predict psychopathology in childhood and adolescence? A systematic review and meta‐analysis of prospective longitudinal studies. J. Child Psychol. Psychiatry. 61, 401–416 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Edlow, A. G. Maternal obesity and neurodevelopmental and psychiatric disorders in offspring. Prenat. Diagn. 37, 95–110 (2017).

    Article 
    PubMed 

    Google Scholar 

  • Gustafsson, H. C. et al. Increased maternal prenatal adiposity, inflammation, and lower omega-3 fatty acid levels influence child negative affect. Front. NeuroSci. 13, 1035 (2019).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Robinson, M. et al. Pre-pregnancy maternal overweight and obesity increase the risk for affective disorders in offspring. J. Dev. Origins Health Disease. 4, 42–48 (2013).

    Article 
    CAS 
    MATH 

    Google Scholar 

  • Rodriguez, A. Maternal pre-pregnancy obesity and risk for inattention and negative emotionality in children. J. Child Psychol. Psychiatry. 51, 134–143 (2010).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Kong, L., Norstedt, G., Schalling, M., Gissler, M. & Lavebratt, C. The risk of offspring psychiatric disorders in the setting of maternal obesity and diabetes. Pediatrics 142, e20180076 (2018).

  • Rivera, H. M., Christiansen, K. J. & Sullivan, E. L. The role of maternal obesity in the risk of neuropsychiatric disorders. Front. NeuroSci. 9, 194. (2015).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Chen, S. et al. Rates of maternal weight gain over the course of pregnancy and offspring risk of neurodevelopmental disorders. BMC Med. 21, 108 (2023).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Andersen, C. H., Thomsen, P. H., Nohr, E. A. & Lemcke, S. Maternal body mass index before pregnancy as a risk factor for ADHD and autism in children. Eur. Child Adolesc. Psychiatry. 27, 139–148 (2018).

    Article 
    PubMed 

    Google Scholar 

  • Getz, K. D., Anderka, M. T., Werler, M. M. & Jick, S. S. Maternal Pre-pregnancy body mass index and autism spectrum disorder among offspring: A Population‐Based Case–Control study. Paediatr. Perinat. Epidemiol. 30, 479–487 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Su, L. et al. Association between gestational weight gain and autism spectrum disorder in offspring: a meta-analysis. Obesity 28, 2224–2231 (2020).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Windham, G. C. et al. Maternal pre-pregnancy body mass index and gestational weight gain in relation to autism spectrum disorder and other developmental disorders in offspring. Autism Res. 12, 316–327 (2019).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Pugh, S. et al. Gestational weight gain, prepregnancy body mass index and offspring attention-deficit hyperactivity disorder symptoms and behaviour at age 10. BJOG: Int. J. Obstet. Gynecol. 123, 2094–2103 (2016).

    Article 
    CAS 
    MATH 

    Google Scholar 

  • Van Lieshout, R. J., Robinson, M. & Boyle, M. H. Maternal pre-pregnancy body mass index and internalizing and externalizing problems in offspring. Can. J. Psychiatry. 58, 151–159 (2013).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Tore, E. C. et al. Gestational weight gain by maternal pre-pregnancy BMI and childhood problem behaviours in school-age years: a pooled analysis of two European birth cohorts. Matern. Child Health J. 24, 1288–1298 (2020).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Bordeleau, M., Fernandez de Cossio, L., Chakravarty, M. M. & Tremblay, M. È. From maternal diet to neurodevelopmental disorders: a story of neuroinflammation. Front. Cell. Neurosci. 14, 612705 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Sullivan, E. L. et al. Adipokines measured during pregnancy and at birth are associated with infant negative affect. Brain. Behav. Immun. 120, 34–43 (2024).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • van der Burg, J. W. et al. The role of systemic inflammation linking maternal BMI to neurodevelopment in children. Pediatr. Res. 79, 3–12 (2016).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Chen, S., Zhao, S., Dalman, C., Karlsson, H. & Gardner, R. Association of maternal diabetes with neurodevelopmental disorders: autism spectrum disorders, attention-deficit/hyperactivity disorder and intellectual disability. Int. J. Epidemiol. 50, 459–474 (2021).

    Article 
    PubMed 

    Google Scholar 

  • e Silva, R. N. A. et al. Associations of maternal diabetes during pregnancy with psychiatric disorders in offspring during the first 4 decades of life in a population-based Danish birth cohort. JAMA Netw. Open. 4, e2128005–e2128005 (2021).

    Article 

    Google Scholar 

  • Lotfi, N., Hami, J., Hosseini, M., Haghir, D. & Haghir, H. Diabetes during pregnancy enhanced neuronal death in the hippocampus of rat offspring. Int. J. Dev. Neurosci. 51, 28–35 (2016).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Lain, K. Y. & Catalano, P. M. Metabolic changes in pregnancy. Clin. Obstet. Gynecol. 50, 938–948 (2007).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Sonagra, A. D., Biradar, S. M., Dattatreya, K. & DS, J. M. Normal pregnancy-a state of insulin resistance. J. Clin. Diagn. Research: JCDR. 8, CC01 (2014).

    Google Scholar 

  • Lowe, W. L. et al. Hyperglycemia and adverse pregnancy outcome Follow-up study (HAPO FUS): maternal gestational diabetes mellitus and childhood glucose metabolism. Diabetes Care. 42, 372–380. (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Sauder, K., Hockett, C., Ringham, B., Glueck, D. & Dabelea, D. Fetal overnutrition and offspring insulin resistance and β-cell function: the exploring perinatal outcomes among children (EPOCH) study. Diabet. Med. 34, 1392–1399 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lima, R. A. et al. The importance of maternal insulin resistance throughout pregnancy on neonatal adiposity. Paediatr. Perinat. Epidemiol. 35, 83–91 (2021).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Hamilton, J. K. et al. Maternal insulin sensitivity during pregnancy predicts infant weight gain and adiposity at 1 year of age. Obesity 18, 340–346 (2010).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Rodolaki, K. et al. The impact of maternal diabetes on the future health and neurodevelopment of the offspring: a review of the evidence. Front. Endocrinol. 14, 1125628 (2023).

    Article 

    Google Scholar 

  • Sacks, K. N. et al. Prenatal exposure to gestational diabetes mellitus as an independent risk factor for long-term neuropsychiatric morbidity of the offspring. Am. J. Obstet. Gynecol. 215, 380 (2016). e381-380. e387.

    MATH 

    Google Scholar 

  • Xiang, A. H. et al. Maternal type 1 diabetes and risk of autism in offspring. Jama 320, 89–91 (2018).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Nomura, Y. et al. Exposure to gestational diabetes mellitus and low socioeconomic status: effects on neurocognitive development and risk of attention-deficit/hyperactivity disorder in offspring. Arch. Pediatr. Adolesc. Med. 166, 337–343 (2012).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Xiang, A. H. et al. Maternal gestational diabetes mellitus, type 1 diabetes, and type 2 diabetes during pregnancy and risk of ADHD in offspring. Diabetes Care. 41, 2502–2508 (2018).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Linder, K. et al. Maternal insulin sensitivity is associated with oral glucose-induced changes in fetal brain activity. Diabetologia 57, 1192–1198 (2014).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Linder, K. et al. Gestational diabetes impairs human fetal postprandial brain activity. J. Clin. Endocrinol. Metabolism. 100, 4029–4036 (2015).

    Article 
    CAS 

    Google Scholar 

  • Pool, L. R. et al. Childhood risk factors and adulthood cardiovascular disease: a systematic review. J. Pediatr. 232, 118–126 (2021).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Salam, R. A. et al. Effects of lifestyle modification interventions to prevent and manage child and adolescent obesity: a systematic review and meta-analysis. Nutrients 12, 2208 (2020).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Carolan-Olah, M., Duarte‐Gardea, M. & Lechuga, J. A critical review: early life nutrition and prenatal programming for adult disease. J. Clin. Nurs. 24, 3716–3729 (2015).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Monk, C., Lugo-Candelas, C. & Trumpff, C. Prenatal developmental origins of future psychopathology: mechanisms and pathways. Ann. Rev. Clin. Psychol. 15, 317–344 (2019).

    Article 

    Google Scholar 

  • Sen, S. et al. Associations of prenatal and early life dietary inflammatory potential with childhood adiposity and cardiometabolic risk in project Viva. Pediatr. Obes. 13, 292–300 (2018).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Sullivan, E. L. et al. Chronic consumption of a high-fat diet during pregnancy causes perturbations in the serotonergic system and increased anxiety-like behavior in nonhuman primate offspring. J. Neurosci. 30, 3826–3830 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Thompson, J. R. et al. Exposure to a high-fat diet during early development programs behavior and impairs the central serotonergic system in juvenile non-human primates. Front. Endocrinol. 8, 164. (2017).

    Article 
    MATH 

    Google Scholar 

  • Thompson, J. R. et al. Maternal diet, metabolic State, and inflammatory response exert unique and long-lasting influences on offspring behavior in non-human primates. Front. Endocrinol. 9, 161. (2018).

    Article 
    MATH 

    Google Scholar 

  • Mitchell, A. et al. Maternal Western-style diet reduces social engagement and increases idiosyncratic behavior in Japanese macaque offspring. Brain. Behav. Immun. 105, 109–121 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Borge, T. C., Aase, H., Brantsæter, A. L. & Biele, G. The importance of maternal diet quality during pregnancy on cognitive and behavioural outcomes in children: a systematic review and meta-analysis. BMJ Open. 7, e016777 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Gustafsson, H. C., Kuzava, S. E., Werner, E. A. & Monk, C. Maternal dietary fat intake during pregnancy is associated with infant temperament. Dev. Psychobiol. 58, 528–535 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Brunst, K. J. et al. Effects of prenatal social stress and maternal dietary fatty acid ratio on infant temperament: does race matter? Epidemiol. (Sunnyvale Calif) 4. (2014).

  • Lipton, L. R. et al. Associations among prenatal stress, maternal antioxidant intakes in pregnancy, and child temperament at age 30 months. J. Dev. Origins Health Disease. 8, 638–648 (2017).

    Article 
    CAS 

    Google Scholar 

  • Wolever, T. M., Jenkins, D., Jenkins, A. L. & Josse, R. G. The glycemic index: methodology and clinical implications. Am. J. Clin. Nutr. 54, 846–854 (1991).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Scholl, T. O., Chen, X., Khoo, C. S. & Lenders, C. The dietary glycemic index during pregnancy: influence on infant birth weight, fetal growth, and biomarkers of carbohydrate metabolism. Am. J. Epidemiol. 159, 467–474 (2004).

    Article 
    PubMed 

    Google Scholar 

  • Hasbullah, F. Y. et al. Factors associated with dietary glycemic index and glycemic load in pregnant women and risk for gestational diabetes mellitus. Int. J. Food Sci. Nutr. 71, 516–524 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rao, P. S., Shashidhar, A. & Ashok, C. In utero fuel homeostasis: lessons for a clinician. Indian J. Endocrinol. Metabol. 17, 60 (2013).

    Article 
    MATH 

    Google Scholar 

  • Hu, F. B. et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N. Engl. J. Med. 345, 790–797 (2001).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Willett, W., Manson, J. & Liu, S. Glycemic index, glycemic load, and risk of type 2 diabetes. Am. J. Clin. Nutr. 76, 274S–280S (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Horan, M. K. et al. Maternal nutrition and glycaemic index during pregnancy impacts on offspring adiposity at 6 months of age—analysis from the ROLO randomised controlled trial. Nutrients 8, 7 (2016).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Maslova, E. et al. Maternal glycemic index and glycemic load in pregnancy and offspring metabolic health in childhood and adolescence—A cohort study of 68,471 mother–Offspring dyads from the Danish National birth cohort. Eur. J. Clin. Nutr. 73, 1049–1062. (2019).

    Article 
    PubMed 

    Google Scholar 

  • Moses, R. G. et al. Effect of a low-glycemic-index diet during pregnancy on obstetric outcomes. Am. J. Clin. Nutr. 84, 807–812 (2006).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Okubo, H. et al. Maternal dietary glycemic index and glycemic load in early pregnancy are associated with offspring adiposity in childhood: the Southampton women’s survey. Am. J. Clin. Nutr. 100, 676–683 (2014).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Alick, C. L. et al. Periconceptional maternal diet characterized by high glycemic loading is associated with offspring behavior in NEST. Nutrients 13, 3180 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Chen, X. et al. Maternal dietary patterns and pregnancy outcome. Nutrients 8, 351 (2016).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Abu-Saad, K. & Fraser, D. Maternal nutrition and birth outcomes. Epidemiol. Rev. 32, 5–25 (2010).

    Article 
    PubMed 

    Google Scholar 

  • Stifter, C. A., Willoughby, M. T. & Towe-Goodman, N. Agree or agree to disagree? Assessing the convergence between parents and observers on infant temperament. Infant Child. Development: Int. J. Res. Pract. 17, 407–426 (2008).

    Article 

    Google Scholar 

  • Gartstein, M. A. & Hancock, G. R. Temperamental growth in infancy: demographic, maternal symptom, and stress contributions to overarching and fine-grained dimensions. Merrill-Palmer Q. 65, 121–157 (2019).

    Article 
    MATH 

    Google Scholar 

  • Gustafsson, H. C. et al. Innovative methods for remote assessment of neurobehavioral development. Dev. Cogn. Neurosci. 52, 101015 (2021).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Wood, E. K. et al. The association between food desert severity, socioeconomic status, and metabolic state during pregnancy in a prospective longitudinal cohort. Sci. Rep. 13, 7197 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Conway, J. M., Ingwersen, L. M. & Moshfegh, A. J. Acurracy of dietary recal using the USDA 5-step multiple pass method in a multi-ethnic Populaiton: an observational validation study. J. Am. Diet. Assoc. 104(4), 595–603 (2003).

  • Foster-Powell, K., Holt, S. H. & Brand-Miller, J. C. International table of glycemic index and glycemic load values: 2002. Am. J. Clin. Nutr. 76, 5–56 (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Flood, A. et al. Methodology for adding glycemic load values to the National Cancer Institute diet history questionnaire database. J. Am. Diet. Assoc. 106, 393–402 (2006).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Olendzki, B. C. et al. Methodology for adding glycemic index and glycemic load values to 24-hour dietary recall database. Nutrition 22, 1087–1095 (2006).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Fields, D. A., Hunter, G. & Goran, M. I. Validation of the BOD POD with hydrostatic weighing: influence of body clothing. Int. J. Obes. 24, 200–205 (2000).

    Article 
    CAS 
    MATH 

    Google Scholar 

  • Fields, D. A., Higgins, P. B. & Radley, D. Air-displacement plethysmography: Here to stay. Curr. Opin. Clin. Nutr. Metabolic Care. 8, 624–629 (2005).

    Article 
    MATH 

    Google Scholar 

  • Marshall, N. E. et al. Comparison of multiple methods to measure maternal fat mass in late gestation. Am. J. Clin. Nutr. 103, 1055–1063. (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Van Raaij, J., Peek, M., Vermaat-Miedema, S. H., Schonk, C. M. & Hautvast, J. New equations for estimating body fat mass in pregnancy from body density or total body water. Am. J. Clin. Nutr. 48, 24–29. (1988).

    Article 
    PubMed 

    Google Scholar 

  • Wallace, T. M., Levy, J. C. & Matthews, D. R. Use and abuse of HOMA modeling. Diabetes Care. 27, 1487–1495 (2004).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Mesman, J., van IJzendoorn, M. H. & Bakermans-Kranenburg, M. J. The many faces of the Still-Face paradigm: A review and meta-analysis. Dev. Rev. 29, 120–162 (2009).

    Article 

    Google Scholar 

  • Tronick, E., Als, H., Adamson, L., Wise, S. & Brazelton, T. B. The infant’s response to entrapment between contradictory messages in face-to-face interaction. J. Am. Acad. Child. Psychiatry. 17, 1–13 (1978).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Wagner, N. J. et al. Parenting and cortisol in infancy interactively predict conduct problems and callous–unemotional behaviors in childhood. Child Dev. 90, 279–297 (2019).

    Article 
    ADS 
    PubMed 
    MATH 

    Google Scholar 

  • Hankin, B. L. et al. Understanding comorbidity among internalizing problems: integrating latent structural models of psychopathology and risk mechanisms. Dev. Psychopathol. 28, 987–1012 (2016).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Polanska, K. et al. Maternal stress during pregnancy and neurodevelopmental outcomes of children during the first 2 years of life. J. Paediatr. Child Health. 53, 263–270 (2017).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Attali, E. & Yogev, Y. The impact of advanced maternal age on pregnancy outcome. Best Pract. Res. Clin. Obstet. Gynecol. 70, 2–9 (2021).

    Article 
    MATH 

    Google Scholar 

  • Cohen, A., Pieper, C. F., Brown, A. J. & Bastian, L. A. Number of children and risk of metabolic syndrome in women. J. Women’s Health. 15, 763–773 (2006).

    Article 
    MATH 

    Google Scholar 

  • Bentley-Lewis, R. et al. Effect of race/ethnicity on hypertension risk subsequent to gestational diabetes mellitus. Am. J. Cardiol. 113, 1364–1370. (2014).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Feldman, R. et al. Maternal depression and anxiety across the postpartum year and infant social engagement, fear regulation, and stress reactivity. J. Am. Acad. Child. Adolesc. Psychiatry. 48, 919–927 (2009).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Weissman, M. M. et al. Depressed mothers coming to primary care: maternal reports of problems with their children. J. Affect. Disord. 78, 93–100 (2004).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Cohen, S., Kamarck, T. & Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 24(4), 385–396 (1983).

  • World Health Organization. WHO child growth standards based on length/height, weight and age. Acta Paediatr. Suppl. 450, 76–85 (2006).

    Google Scholar 

  • Radloff, L. S. The CES-D scale: A self-report depression scale for research in the general population. Appl. Psychol. Meas. 1, 385–401 (1977).

    Article 
    MATH 

    Google Scholar 

  • Thompson, A. L. et al. Development and validation of the infant feeding style questionnaire. Appetite 53, 210–221 (2009).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • The American College of Obstetricians and Gynecologists. Gestational diabetes mellitus. Obstet. Gynecol. 130, e17–e37. (2017).

    Article 

    Google Scholar 

  • Graham, J. W. Missing data analysis: making it work in the real world. Ann. Rev. Psychol. 60, 549–576. (2009).

    Article 
    MATH 

    Google Scholar 

  • Browne, M. W. & Cudeck, R. Alternative ways of assessing model fit. Sociol. Methods Res. 21, 230–258 (1992).

    Article 
    MATH 

    Google Scholar 

  • Hu, L. T. & Bentler, P. M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equation Modeling: Multidisciplinary J. 6, 1–55 (1999).

    Article 
    MATH 

    Google Scholar 

  • Li, M., Francis, E., Hinkle, S. N., Ajjarapu, A. S. & Zhang, C. Preconception and prenatal nutrition and neurodevelopmental disorders: a systematic review and meta-analysis. Nutrients 11, 1628 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Gustafsson, H. C. et al. Early development of negative and positive affect: implications for ADHD symptomatology across three birth cohorts. Dev. Psychopathol. 33, 1837–1848 (2021).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Jaimes, C. et al. In vivo characterization of emerging white matter microstructure in the fetal brain in the third trimester. Hum. Brain. Mapp. 41, 3177–3185 (2020).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Wilson, S. et al. Development of human white matter pathways in utero over the second and third trimester. Proceedings of the National Academy of Sciences 118, e2023598118 (2021).

  • Wang, Q. et al. Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence. BMC Med. 14, 1–14 (2016).

    Article 
    CAS 
    MATH 

    Google Scholar 

  • Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P. & Huang, H. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. Neuroimage 185, 836–850 (2019).

    Article 
    PubMed 

    Google Scholar 

  • Tau, G. Z. & Peterson, B. S. Normal development of brain circuits. Neuropsychopharmacology 35, 147–168 (2010).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Butte, N. F., Wong, W. W., Treuth, M. S., Ellis, K. J. & Smith, E. O. B. Energy requirements during pregnancy based on total energy expenditure and energy deposition. Am. J. Clin. Nutr. 79, 1078–1087 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Cortés-Albornoz, M. C., García-Guáqueta, D. P., Velez-van-Meerbeke, A. & Talero-Gutiérrez, C. Maternal nutrition and neurodevelopment: A scoping review. Nutrients 13, 3530 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Caudill, M. A., Strupp, B. J., Muscalu, L., Nevins, J. E. & Canfield, R. L. Maternal choline supplementation during the third trimester of pregnancy improves infant information processing speed: a randomized, double-blind, controlled feeding study. FASEB J. 32, 2172 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Andescavage, N. N. et al. Complex trajectories of brain development in the healthy human fetus. Cereb. Cortex. 27, 5274–5283 (2017).

    PubMed 
    MATH 

    Google Scholar 

  • Wilcox, G. Insulin and insulin resistance. Clin. Biochemist Reviews. 26, 19 (2005).

    MATH 

    Google Scholar 

  • Levitan, E. B. et al. Dietary glycemic index, dietary glycemic load, blood lipids, and C-reactive protein. Metabolism 57, 437–443 (2008).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Galgani, J., Aguirre, C. & Díaz, E. Acute effect of meal glycemic index and glycemic load on blood glucose and insulin responses in humans. Nutr. J. 5, 1–7 (2006).

    Article 

    Google Scholar 

  • Gawlińska, K. et al. Maternal dietary patterns are associated with susceptibility to a depressive-like phenotype in rat offspring. Dev. Cogn. Neurosci. 47, 100879 (2021).

    Article 
    PubMed 
    MATH 

    Google Scholar 

  • Eyth, E. & Naik, R. Hemoglobin A1c. (2019).

  • Fabricatore, A. N., Ebbeling, C. B., Wadden, T. A. & Ludwig, D. S. Continuous glucose monitoring to assess the Ecologic validity of dietary glycemic index and glycemic load. Am. J. Clin. Nutr. 94, 1519–1524 (2011).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • McGowan, C. & McAuliffe, F. Maternal nutrient intakes and levels of energy underreporting during early pregnancy. Eur. J. Clin. Nutr. 66, 906–913 (2012).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Nowicki, E. et al. Predictors of measurement error in energy intake during pregnancy. Am. J. Epidemiol. 173, 560–568 (2011).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Küpers, L. K. et al. Maternal dietary glycemic index and glycemic load in pregnancy and offspring cord blood DNA methylation. Diabetes Care. 45, 1822–1832 (2022).

    Article 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Kim, Y., Chen, J., Wirth, M. D., Shivappa, N. & Hebert, J. R. Lower dietary inflammatory index scores are associated with lower glycemic index scores among college students. Nutrients 10, 182 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Quagliaro, L. et al. Intermittent high glucose enhances apoptosis related to oxidative stress in human umbilical vein endothelial cells: the role of protein kinase C and NAD (P) H-oxidase activation. Diabetes 52, 2795–2804 (2003).

    Article 
    CAS 
    PubMed 
    MATH 

    Google Scholar 

  • Wright, E. Jr, Scism-Bacon, J. & Glass, L. Oxidative stress in type 2 diabetes: the role of fasting and postprandial glycaemia. Int. J. Clin. Pract. 60, 308–314 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Dawson, S. L. et al. Maternal prenatal gut microbiota composition predicts child behaviour. EBioMedicine 68, 103400 (2021).

  • Cao, Y. et al. Prenatal gut microbiota predicts temperament in offspring at 1–2 years. Biol. Res. Nurs. 26(4), 569–583 (2024).

  • Kline, R. B. Principles and Practice of Structural Equation Modeling (Guilford, 2023).

  • Marshall, N. E. et al. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am. J. Obstet. Gynecol. 226, 607–632 (2022).

    Article 
    PubMed 
    MATH 

    Google Scholar 

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