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Wu D, Li Y, Chen L, Klein M, Franke B, Chen J, Buitelaar J. Maternal gestational weight gain and offspring's neurodevelopmental outcomes: A systematic review and meta-analysis. Neurosci Biobehav Rev 2023; 153:105360. [PMID: 37573899 DOI: 10.1016/j.neubiorev.2023.105360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
Abnormal gestational weight gain (GWG) has been increasing globally, up to 47% of all pregnancies. Multiple studies have focused on the association between GWG and adverse neurodevelopmental outcomes in the offspring, however with inconsistent results. We performed a systematic review and meta-analysis to evaluate associations between excessive or insufficient GWG and offspring's neurodevelopmental outcomes. Meta-analysis of these 23 studies using a random-effects model revealed associations between excessive GWG and neurodevelopmental disorders (ASD & ID & ADHD together: OR=1.12 [95% CI 1.06-1.19]), ASD (OR=1.18 [95% CI 1.08-1.29]), ADHD (OR=1.08 [95% CI 1.02-1.14]), ASD with ID (OR=1.15 [95% CI 1.01-1.32]), and ASD without ID (OR=1.12 [95% CI 1.06-1.19]). Insufficient GWG was associated with higher risk for ID (OR=1.14 [95% CI 1.03-1.26]). These results emphasize the significant impact, though of small effect size, of GWG across multiple neurodevelopmental disorders. It is important to note that these results do not establish causality. Other factors such as genetic factors, gene-environment interactions may confound the relationship between GWG and neurodevelopmental outcomes. To better understand the role of GWG in neurodevelopmental disorders, future studies should consider using genetically sensitive designs that can account for these potential confounders.
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Affiliation(s)
- Dan Wu
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Yicheng Li
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China
| | - Lingyan Chen
- Department of Occupational Therapy Sciences, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki-city, 852-8520, Japan
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Jinjin Chen
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China.
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Centre, 6525 GA Nijmegen, the Netherlands
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de Lauzon-Guillain B, Marques C, Kadawathagedara M, Bernard JY, Tafflet M, Lioret S, Charles MA. Maternal diet during pregnancy and child neurodevelopment up to age 3.5 years: the nationwide Étude Longitudinale Française depuis l'Enfance (ELFE) birth cohort. Am J Clin Nutr 2022; 116:1101-1111. [PMID: 35918250 DOI: 10.1093/ajcn/nqac206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 07/26/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Dietary guidelines available to pregnant women are made to improve maternal health and fetal development. But their adequacy to sustain offspring neurodevelopment has remained understudied. OBJECTIVES We assessed the association between compliance with nutritional guidelines during pregnancy and neurodevelopment in preschool children. METHODS The analyses were based on data for 6780 to 11,278 children from the Étude Longitudinale Française depuis l'Enfance (ELFE) study, a nationwide birth cohort. Maternal diet during the last 3 mo of pregnancy was evaluated at delivery by using a validated 125-item FFQ. From this FFQ, food group consumption, a diet quality score (adapted National Health and Nutrition Program Guideline Score), and a nutrient intake score (Probability of Adequate Nutrient intake based Diet quality index) were calculated and dietary patterns were derived by principal component analysis. Child neurodevelopment was reported by parents at 1 and 3.5 y with the Child Development Inventory (CDI-1, CDI-3.5) and at 2 y with the MacArthur-Bates Communicative Development Inventories (MB-2), and assessed by a trained investigator at 3.5 y with the Picture Similarities test (British Ability Scales, PS-3.5). Associations between maternal diet and child neurodevelopment were assessed by multivariable linear regression models on standardized variables. RESULTS Higher nutrient intake score was associated with higher neurodevelopmental scores from 1 to 3.5 y (β = 0.04; 95% CI: 0.02, 0.06 for CDI-1; β = 0.03; 95% CI: 0.01, 0.05 for MB-2; and β = 0.03; 95% CI: 0.01, 0.05 for CDI-3.5). Higher fruit and vegetables or fish intake and lower pork-meat products intake were related to higher CDI-3.5 scores (β = 0.03; 95% CI: 0.01, 0.05 for fruit and vegetables; β = 0.03; 95% CI: 0.01, 0.05 for fish; and β = -0.02; 95% CI: -0.04, 0.00 for pork-meat products). A higher score on the processed food pattern was associated with poorer neurodevelopmental score at 1 y (β = -0.05; 95% CI: -0.06, -0.03). CONCLUSIONS Higher diet quality during pregnancy was associated with higher parent-reported neurodevelopmental scores in early childhood. The negative association of pork-meat products consumption with early neurodevelopmental scores needs to be further confirmed.
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Affiliation(s)
| | - Chloé Marques
- Université Paris Cité, CRESS, Inserm, INRAE, Paris, France
| | | | - Jonathan Y Bernard
- Université Paris Cité, CRESS, Inserm, INRAE, Paris, France.,Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Muriel Tafflet
- Université Paris Cité, CRESS, Inserm, INRAE, Paris, France
| | | | - Marie Aline Charles
- Université Paris Cité, CRESS, Inserm, INRAE, Paris, France.,Unité mixte Inserm-Ined-EFS ELFE, Ined, Aubervilliers, France
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Parker SE, Carlson JM, Kebede N, Werler MM, Janulewicz PA. Pre-pregnancy body mass index and parent and teacher-reported behavioral outcomes among offspring in childhood. Neurotoxicol Teratol 2022; 89:107049. [PMID: 34780987 PMCID: PMC8819681 DOI: 10.1016/j.ntt.2021.107049] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 10/15/2021] [Accepted: 11/09/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Pre-pregnancy obesity has been linked to childhood neurodevelopmental outcomes, including autism and attention-deficit hyperactivity disorder. The aim of our study was to examine the association between pre-pregnancy body mass index (BMI) and scores on behavioral scales according to both mother and teacher report. METHODS We conducted a longitudinal study of 469 mother-child pairs. Information on pre-pregnancy body mass index (BMI) was collected from standardized maternal interviews conducted after delivery and assessment of childhood behavioral problems was measured at 5-12 years of age according to maternal-report using the Child Behavior Checklist (CBCL) and teacher-report using the Teacher Report Form (TRF). Using normal pre-pregnancy BMI (18.5-24.9 kg/m2) as the reference (n = 305), we calculated adjusted mean differences (MD) for t-scores on broadband and syndrome scales of behavior for children of mothers with pre-pregnancy overweight (n = 101) or obese (n = 63) BMI. We also examined associations with scores in the clinical range using risk ratios (RR) and compared results across informants. To account for loss to follow-up between the initial interview and the childhood behavioral assessment, we weighted models using stabilized inverse probability weights. RESULTS Pre-pregnancy obesity was associated with a mean increase in child's total behavior problem t-scores according to both mother and teacher report, after adjustment for confounders and weighted for loss to follow-up (MD: 0.7, 95% CI: -2.2, 3.6 on CBCL; MD: 3.1, 95% CI: 0.5, 5.7 on TRF), indicating poorer behavioral outcomes. Comparing the magnitude of associations between mother and teacher-report, mean differences for pre-pregnancy obesity and most behavioral problem scales were larger for teacher-reported outcomes than mother-reported outcomes. Pre-pregnancy obesity was associated with increased risks of externalizing behaviors in the clinical range regardless of informant (CBCL RR: 1.6, 95% CI: 0.8, 3.2 and TRF RR: 1.7, 95% CI: 0.8, 3.5). Pre-pregnancy obesity was also associated with increased risks of internalizing behaviors according to teacher-report (TRF RR: 2.6, 95% CI:1.5, 4.6). CONCLUSIONS Pre-pregnancy obesity, compared to pre-pregnancy normal weight, is associated with generally higher scores on both mother and teacher reported childhood behavioral assessments, indicating an increased likelihood of behavioral problems.
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Affiliation(s)
- Samantha E. Parker
- Department of Epidemiology, Boston University School of
Public Health, Boston, MA 02118
| | - Jeffrey M. Carlson
- Department of Environmental Health, Boston University
School of Public Health, Boston, MA 02118
| | - Nehemiah Kebede
- Department of Epidemiology, Boston University School of
Public Health, Boston, MA 02118
| | - Martha M. Werler
- Department of Epidemiology, Boston University School of
Public Health, Boston, MA 02118
| | - Patricia A. Janulewicz
- Department of Environmental Health, Boston University
School of Public Health, Boston, MA 02118
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Bodnar LM, Cartus AR, Parisi SM, Abrams B, Himes KP, Eckhardt CL, Braxter B, Hutcheon JA. Pregnancy weight gain in twin gestations and maternal and child health outcomes at 5 years. Int J Obes (Lond) 2021; 45:1382-1391. [PMID: 33658683 PMCID: PMC8238784 DOI: 10.1038/s41366-021-00792-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 01/05/2021] [Accepted: 02/11/2021] [Indexed: 11/09/2022]
Abstract
Objective: Current guidelines for maternal weight gain in twin pregnancy were established in the absence of evidence on its longer-term consequences for maternal and child health. We evaluated the association between weight gain in twin pregnancies and the risk of excess maternal postpartum weight increase, childhood obesity, and child cognitive ability. Methods: We used 5-year follow-up data from 1000 twins born to 450 mothers in the Early Childhood Longitudinal Study – Birth Cohort, a nationally representative U.S. cohort of births in 2001. Pregnancy weight gain was standardized into gestational age- and prepregnancy body mass index (BMI)-specific z-scores. Excess postpartum weight increase was defined as ≥10 kg increase from prepregnancy weight. We defined child overweight/obesity as BMI ≥ 85th percentile, and low reading and math achievement as scores one standard deviation below the mean. We used survey-weighted multivariable modified Poisson models with a log link to relate gestational weight gain z-score with each outcome. Results: Excess postpartum weight increase occurred in 40% of mothers. Approximately 28% of twins were affected by overweight/obesity, and 16% and 14% had low reading and low math scores. There was a positive linear relationship between pregnancy weight gain and both excess postpartum weight increase and childhood overweight/obesity. Compared with a gestational weight gain z-score 0 SD (equivalent to 20 kg at 37 weeks gestation), a weight gain z-score of +1 SD (27 kg) was associated with 6.3 (0.71, 12) cases of excess weight increase per 1000 women and 4.5 (0.81, 8.2) excess cases of child overweight/obesity per 100 twins. Gestational weight gain was not related to kindergarten academic readiness. Conclusions: The high prevalence of excess postpartum weight increase and childhood overweight/obesity within the recommended ranges of gestational weight gain for twin pregnancies suggests that these guidelines could be inadvertently contributing to longer-term maternal and child obesity.
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Affiliation(s)
- Lisa M Bodnar
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA. .,Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. .,Magee-Womens Research Institute, Pittsburgh, PA, USA.
| | - Abigail R Cartus
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sara M Parisi
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Barbara Abrams
- Division of Epidemiology and Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Katherine P Himes
- Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Cara L Eckhardt
- Oregon Health Sciences University-Portland State University School of Public Health, Portland, OR, USA
| | - Betty Braxter
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC, Canada
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Gestational weight gain and offspring's cognitive skills: a systematic review and meta-analysis. BMC Pediatr 2020; 20:533. [PMID: 33243183 PMCID: PMC7690030 DOI: 10.1186/s12887-020-02429-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 11/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Gestational weight gain has been associated with some adverse perinatal outcomes, but few studies have examined the association between gestational weight gain and offspring's cognition and their conclusions are inconsistent. Our systematic review and meta-analysis aimed to synthesize the evidence regarding the association between gestational weight gain and offspring's cognitive skills. METHODS In this systematic review and meta-analysis (PROSPERO number, CRD42017073266), we systematically searched MEDLINE, EMBASE, Web of Science and the Cochrane Library for studies examining association between gestational weight gain and offspring's cognitive skills, without restriction in study design or language. Two reviewers extracted in an independent way the data. The Quality of Reporting of Observational Longitudinal Research scale was used to assess the quality of included studies. Effect size (ES) for adjusted models and their corresponding 95% confidence intervals were calculated for (i) intelligence quotient, (ii) language related skills and (iii) mathematic related skills comparing offspring's cognitive skills when gestational weight gain was within recommendations (as reference) with those from mothers whose gestational weight gain was above or below the recommendations. RESULTS Thirteen studies were included. There was a positive trend that associated gestational weight gain above recommendations with better offspring's intelligence quotient, although not statistically significant (ES 0.02, 95% CI -0.00, 0.05; I2 = 0.00%). CONCLUSIONS There is a not significant positive association between gestational weight gain above recommendations and intelligence quotient and some studies reported associations between gestational weight gain and offspring's cognitive skills. Our analyses confirm a wide variability in the results of studies published so far and highlights the need for conducting studies including specific samples of pregnant women by pre-pregnancy body mass index and trimester of pregnancy.
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