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Ouyang J, Cai W, Wu P, Tong J, Gao G, Yan S, Tao F, Huang K. Association between Dietary Patterns during Pregnancy and Children's Neurodevelopment: A Birth Cohort Study. Nutrients 2024; 16:1530. [PMID: 38794768 PMCID: PMC11123670 DOI: 10.3390/nu16101530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/09/2024] [Accepted: 05/16/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Research studies have showed that maternal diet may influence fetal neurodevelopment, but most studies have only assessed single nutrients or food groups. OBJECTIVE To investigate the impact of maternal prenatal dietary patterns during pregnancy on child neurodevelopment. METHODS Study participants were obtained from the China National Birth Cohort. The Ages and Stages Questionnaire, Third Edition, was used to assess children's neurodevelopment at 36 months old. Maternal antenatal dietary data were collected over three trimesters using food frequency questionnaires. Five distinct maternal dietary patterns throughout pregnancy were identified by principal component analysis, namely protein- and micronutrient-rich dietary patterns, low-iron dietary patterns, pasta as the staple food dietary patterns, iron-rich dietary patterns, tubers, fruits, and baked food dietary patterns. Group-based trajectory modeling was performed for dietary patterns present in all three periods. Multiple linear regression models were used for statistical analysis. RESULTS Children of mothers who followed a high protein- and micronutrient-rich dietary pattern trajectory during pregnancy presented better neurodevelopment, including higher gross motor and problem-solving scores. Furthermore, it was observed that children born of women with low-iron dietary patterns had poorer neurodevelopment. In detail, children born to mothers with a low-iron dietary pattern during the first trimester had lower problem-solving scores, while to those who were exposed to a low-iron dietary pattern in the second and third trimesters had lower gross motor scores. Additionally, children with mothers who had a low-iron dietary pattern in the third trimester had lower communication scores. CONCLUSIONS A nutrition-balanced protein- and micronutrient-rich dietary pattern and adequate iron dietary pattern for mothers throughout pregnancy may be beneficial to children's neurodevelopment.
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Affiliation(s)
- Jiajun Ouyang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
| | - Wenjin Cai
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
| | - Penggui Wu
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
| | - Juan Tong
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
| | - Guopeng Gao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Maternal and Child Health Care Center of Ma’anshan, No 24 Jiashan Road, Ma’anshan 243011, China
| | - Shuangqin Yan
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Maternal and Child Health Care Center of Ma’anshan, No 24 Jiashan Road, Ma’anshan 243011, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
| | - Kun Huang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (J.O.); (W.C.); (P.W.); (J.T.); (G.G.); (S.Y.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, No 81 Meishan Road, Hefei 230032, China
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Xue H, Qin R, Xi Q, Xiao S, Chen Y, Liu Y, Xu B, Han X, Lv H, Hu H, Hu L, Jiang T, Jiang Y, Ding Y, Du J, Ma H, Lin Y, Hu Z. Maternal Dietary Cholesterol and Egg Intake during Pregnancy and Large-for-Gestational-Age Infants: A Prospective Cohort Study. J Nutr 2024:S0022-3166(24)00180-9. [PMID: 38599384 DOI: 10.1016/j.tjnut.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Cholesterol plays a vital role in fetal growth and development during pregnancy. There remains controversy over whether pregnant females should limit their cholesterol intake. OBJECTIVES The objective of this study was to investigate the association between maternal dietary cholesterol intake during pregnancy and infant birth weight in a Chinese prospective cohort study. METHODS A total of 4146 mother-child pairs were included based on the Jiangsu Birth Cohort study. Maternal dietary information was assessed with a semiquantitative food-frequency questionnaire. Birth weight z-scores and large-for-gestational-age (LGA) infants were converted by the INTERGROWTH-21st neonatal weight-for-gestational-age standard. Poisson regression and generalized estimating equations were employed to examine the relationships between LGA and maternal dietary cholesterol across the entire pregnancy and trimester-specific cholesterol intake, respectively. RESULTS The median intake of maternal total dietary cholesterol during the entire pregnancy was 671.06 mg/d, with eggs being the main source. Maternal total dietary cholesterol and egg-sourced cholesterol were associated with an increase in birth weight z-score, with per standard deviation increase in maternal total and egg-sourced dietary cholesterol being associated with an increase of 0.16 [95% confidence interval (CI): 0.07, 0.25] and 0.06 (95% CI: 0.03, 0.09) in birth weight z-score, respectively. Egg-derived cholesterol intake in the first and third trimesters was positively linked to LGA, with an adjusted relative risk of 1.11 (95% CI: 1.04, 1.18) and 1.09 (95% CI: 1.00, 1.18). Compared with mothers consuming ≤7 eggs/wk in the third trimester, the adjusted relative risk for having an LGA newborn was 1.37 (95% CI: 1.09, 1.72) for consuming 8-10 eggs/wk and 1.45 (95% CI: 1.12, 1.86) for consuming >10 eggs/wk (P-trend = 0.015). CONCLUSIONS Maternal total dietary cholesterol intake, as well as consuming over 7 eggs/wk during pregnancy, displayed significant positive relationships with the incidence of LGA, suggesting that mothers should avoid excessive cholesterol intake during pregnancy to prevent adverse birth outcomes.
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Affiliation(s)
- Huixin Xue
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rui Qin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Qi Xi
- Department of Obstetrics, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Shuxin Xiao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yiyuan Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuxin Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Haiting Hu
- Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Lingmin Hu
- Department of Reproduction, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Tao Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ye Ding
- Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
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Du J, Lin Y, Xia Y, Ma H, Jiang Y, Lu C, Wu W, Chen M, Zhao Y, Dai J, Jin G, Liu J, Sha J, Shen H, Hu Z. Cohort Profile: The Jiangsu Birth Cohort. Int J Epidemiol 2023; 52:e354-e363. [PMID: 37935835 DOI: 10.1093/ije/dyad139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 09/28/2023] [Indexed: 11/09/2023] Open
Affiliation(s)
- Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yangqian Jiang
- Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chuncheng Lu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wei Wu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Minjian Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiayin Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Jiahao Sha
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
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Li J, Tu F, Wan Y, Qian X, Mahai G, Wang A, Ma J, Yang Z, Xia W, Xu S, Zheng T, Li Y. Associations of Trimester-Specific Exposure to Perchlorate, Thiocyanate, and Nitrate with Childhood Neurodevelopment: A Birth Cohort Study in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:20480-20493. [PMID: 38015815 DOI: 10.1021/acs.est.3c06013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Studies about the impacts of maternal exposure to perchlorate, thiocyanate, and nitrate on offspring neurodevelopment are scarce. Based on a birth cohort in China, 1,028 mothers provided urine samples at three trimesters for determination of the three target analytes, and their offspring neurodevelopment was evaluated at 2 years old. Associations of maternal exposure to the three chemicals with offspring neurodevelopment were estimated using three statistical methods. Trimester-specific analyses using generalized estimating equation models showed that double increment of thiocyanate and nitrate during the first trimester was associated with 1.56 (95% CI: -2.82, -0.30) and 1.22 (-2.40, -0.03) point decreases in the offspring mental development index (MDI), respectively. Weighted quantile sum (WQS) regression analyses showed that the mixture exposure at the first and second trimesters was negatively associated with the offspring MDI (β = -2.39, 95% CI: -3.85, -0.93; β = -1.75, 95% CI: -3.04, -0.47, respectively) and thiocyanate contributed the most to the association (65.0 and 91.6%, respectively). Bayesian kernel machine regression analyses suggested an inverted U-shape relationship of maternal urinary thiocyanate with the offspring MDI. These findings suggested that prenatal exposure to the three chemicals (at current levels), especially thiocyanate and nitrate, may impair neurodevelopment. Early pregnancy seems to be the sensitive window.
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Affiliation(s)
- Juxiao Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Fengqin Tu
- Wuhan Institute for Food and Cosmetic Control, Key Laboratory of Edible Oil Quality and Safety for State Market Regulation, Wuhan 430040, China
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China
| | - Xi Qian
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Gaga Mahai
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Aizhen Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Jiaolong Ma
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | | | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Tongzhang Zheng
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island 02912, United States
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
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Toh JY, Cai S, Lim SX, Pang WW, Godfrey KM, Shek LP, Tan KH, Yap F, Lee YS, Chong YS, Eriksson JG, Broekman BFP, Rifkin-Graboi A, Chong MFF. Nutrient trajectories during infancy and their associations with childhood neurodevelopment. Eur J Nutr 2023; 62:2429-2439. [PMID: 37118033 DOI: 10.1007/s00394-023-03164-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/21/2023] [Indexed: 04/30/2023]
Abstract
PURPOSE To examine the associations between infants' dietary nutrient trajectories and subsequent neurodevelopment during childhood in the Growing Up in Singapore Towards healthy Outcomes study. METHODS One-day food records were collected at ages 6, 9 and 12 months, whilst Bayley Scales of Infant and Toddler Development-III and Kaufman Brief Intelligence Test-2 were conducted at ages 24 and 54 months respectively. Nutrient trajectories were constructed using multi-level mixed modelling and associations with neurodevelopment (24 months: n = 484; 54 months: n = 444) were examined using adjusted multivariable linear regression. RESULTS At age 24 months, higher protein intake (at 6 months) and increasing rate of intake (from 6 to 12 months) were associated with higher fine motor score [β = 0.17 SD (95% CI 0.03, 0.31) and 0.62 SD (0.10, 1.14) respectively]. Higher fat intake was associated with higher receptive language score [0.04 SD (0.003, 0.07)], but increasing rate of intake was associated with lower expressive language [- 0.20 SD (- 0.39, - 0.01)] and fine motor [- 0.29 SD (- 0.48, - 0.10)] scores. Higher carbohydrate intake was associated with lower gross motor score [- 0.07 SD (- 0.14, - 0.005)], but increasing rate of intake was associated with higher receptive language [0.44 SD (0.08, 0.81)] and fine motor [0.56 SD (0.18, 0.93)] scores. Increasing rate of dietary fibre intake was associated with higher fine motor scores [0.63 SD (0.16, 1.10)]. No significant associations were observed with neurodevelopment at 54 months. CONCLUSION Our findings provide greater understanding of how nutrition over time could have varying effects on child neurodevelopment.
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Affiliation(s)
- Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shan Xuan Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Wei Wei Pang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, UK
| | - Lynette P Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | - Fabian Yap
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
- Department of Paediatric Endocrinology, KK Women's and Children's Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Psychiatry, OLVG and Amsterdam UMC, VU University, Amsterdam, The Netherlands
| | - Anne Rifkin-Graboi
- Centre for Research in Child Development, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
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Che X, Gross SM, Wang G, Hong X, Pearson C, Bartell T, Wang X. Impact of consuming a Mediterranean-style diet during pregnancy on neurodevelopmental disabilities in offspring: results from the Boston Birth Cohort. PRECISION NUTRITION 2023; 2:e00047. [PMID: 37744413 PMCID: PMC10513021 DOI: 10.1097/pn9.0000000000000047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/18/2023] [Accepted: 06/06/2023] [Indexed: 09/26/2023]
Abstract
Background While consuming a Mediterranean-style diet (MSD) among pregnant women is expected to affect offspring neurodevelopment, the current evidence is limited. This prospective birth cohort study aimed to explore the association of maternal MSD with neurodevelopmental disabilities (NDD) in offspring, especially among children born to mothers with overweight or obesity (OWO) and/or diabetes mellitus (DM) since they have a higher risk for oxidative stress and immune/metabolic disturbances. Methods We analyzed data from a subgroup of mother-child dyads enrolled in the Boston Birth Cohort. Maternal dietary information (via food frequency questionnaires, Food frequency questionnaires [FFQ]) and sociodemographic information were obtained via in-person interviews within 24 to 72 hours postpartum. Maternal clinical information and child diagnosis of NDD including autism, attention-deficit/hyperactivity disorder (ADHD), and other developmental disabilities (DD) were extracted from medical records. A Mediterranean-style diet score (MSDS) was calculated using the FFQ. The association of maternal MSDS with NDD, autism, ADHD, and other DD was evaluated using multivariable logistic regression models adjusted for pertinent covariates. Results This study included 3153 mother-child pairs, from which we identified diagnoses of 1362 (43.2%) NDD, including 123 (3.9%) case of autism, 445 (14.1%) ADHD, and 794 (25.2%) other DD. In the overall sample, women with a higher maternal MSDS (per standard deviation increase) were less likely to have offspring with NDD (adjusted odds ratio [OR]: 0.904, 95% confidence interval [CI]: 0.817-1.000; P value: 0.049). Using MSDS quintile 1 as the reference, being in the combined group of quintiles 3-5 was associated with a 26% lower likelihood of NDD (adjusted OR: 0.738, 95% CI: 0.572-0.951; P value: 0.019). When stratified by mothers with OWO/DM vs. without OWO/DM, the association between maternal MSDS and offspring NDD was greater in children born to mothers with OWO/DM. Conclusions In this prospective birth cohort, a higher maternal MSDS was associated with a lower likelihood of NDD in the offspring. Furthermore, this association of maternal MSDS with offspring NDD was greater in children born to women with OWO/DM. More studies are needed to replicate the findings and further analyze NDD subgroups and explore underlying molecular pathways.
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Affiliation(s)
- Xiaoyu Che
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Susan M. Gross
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Guoying Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiumei Hong
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Colleen Pearson
- Developmental and Behavioral Pediatrics, Boston University Chobanian and Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Tami Bartell
- Patrick M. Magoon Institute for Healthy Communities, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA
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7
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Yu X, Zou Z. Dietary, Lifestyle, and Children Health. Nutrients 2023; 15:nu15102242. [PMID: 37242124 DOI: 10.3390/nu15102242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Childhood is a critical period for the development of a healthy lifestyle and the prevention of chronic diseases in adulthood [...].
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Affiliation(s)
- Xiaoran Yu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
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Dou L, Gu J, Pan Y, Huang D, Huang Z, Bao H, Wu W, Zhu P, Tao F, Hao J. Prenatal Healthy Dietary Patterns Are Associated with Reduced Behavioral Problems of Preschool Children in China: A Latent Class Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2214. [PMID: 36767579 PMCID: PMC9916231 DOI: 10.3390/ijerph20032214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/10/2023] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
The relation between maternal dietary patterns during pregnancy and offspring behavioral problems is less verified. Therefore, we have aimed to assess the relationship between them and have hypothesized that children of mothers with healthy dietary patterns during pregnancy have better behavior. The 1612 mother-child pairs of the China-Anhui Birth Cohort Study (C-ABCS) have been enrolled as the study population. The dietary behaviors of mothers during early and mid-pregnancy have been investigated using a semi-quantitative food frequency questionnaire. Preschool child behavioral problems have been assessed. Clusters of maternal food groups intakes have been identified using latent class analysis, and the association between maternal dietary patterns and child behavioral problems has been subsequently analyzed using logistic regression. Maternal age at inclusion is 26.56 ± 3.51 years. There has been a preponderance of boys (53.3%). Maternal food groups intakes have been classified into four groups: "High-consumed pattern (HCP)", "Southern dietary pattern (SDP)", "Northern dietary pattern (NDP)", and "Low-consumed pattern (LCP)". The offspring with maternal SDP and NDP have lower emotional symptoms compared to the offspring with maternal LCP in the first trimester (p < 0.05). It has been reported to lower conduct problems in children with maternal SDP than the children with maternal LCP in the second trimester (p < 0.05). In boys, we have detected associations between first-trimester SDP and lower emotional symptoms (p < 0.05) and between second-trimester SDP with decreased peer relationship problems (p < 0.05). In girls, total difficulty scores are lower with second-trimester SDP (p < 0.05). Maternal SDP in early and mid-pregnancy predicts reduced behavioral problems in preschool children, while maternal HCP and NDP during pregnancy may result in fewer developmental benefits.
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Affiliation(s)
- Lianjie Dou
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Jijun Gu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Ying Pan
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Dan Huang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Zhaohui Huang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
- Anhui Provincial Center for Women and Child Health, Hefei 230001, China
| | - Huihui Bao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Wanke Wu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Peng Zhu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Fangbiao Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Jiahu Hao
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 230032, China
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
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9
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Dai FC, Wang P, Li Q, Zhang L, Yu LJ, Wu L, Tao RX, Zhu P. Mediterranean diet during pregnancy and infant neurodevelopment: A prospective birth cohort study. Front Nutr 2023; 9:1078481. [PMID: 36726814 PMCID: PMC9885498 DOI: 10.3389/fnut.2022.1078481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
Background Embryonic neural development is associated with intrauterine nutritional status. However, few cohort studies estimated the relationship between maternal dietary patterns during pregnancy and offspring's early neurodevelopment. Objective To examine the impact of the Mediterranean diet (MD) during pregnancy on infant neurodevelopment, including the potential mediating role of cord blood metabolites. Methods Among 1,471 mother-child pairs in a prospective birth cohort study in Hefei, China, we investigated the associations between maternal MD score [calculated based on a validated food frequency questionnaire (FFQ)] and child neurodevelopment at infancy [assessed using Ages and Stages Questionnaires, Third Edition (ASQ-3)]. The cord blood metabolic markers (including C-peptide, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, total cholesterol, and triglycerides) were measured. Results The MD score was negatively associated with communication domain developmental delays in infants [relative risk (RR) with 95% CI: 0.34 (0.16, 0.72)]. Compared with girls, boys born from mothers with lower MD scores during pregnancy were inclined to the failure of the communication domain [RRs with 95% CI for boys: 0.34 (0.14, 0.84); for girls: 0.26 (0.06, 1.18)]. Mediation analysis showed that the association between the maternal MD score and failure of communication domain mediated by C-peptide was 19.4% in boys but not in girls. Conclusion Adhering to the MD during pregnancy was associated with a decreased risk of poor neurodevelopment, possibly mediated by lower levels of cord blood C-peptide.
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Affiliation(s)
- Fei-cai Dai
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Qiong Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Li-jun Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Lin Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Rui-xue Tao
- Department of Gynecology and Obstetrics, Hefei First People's Hospital, Hefei, China,*Correspondence: Rui-xue Tao ✉
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China,Peng Zhu ✉
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10
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Maternal obesity, gestational diabetes mellitus, and diet in association with neurodevelopment of 2-year-old children. Pediatr Res 2023:10.1038/s41390-022-02455-4. [PMID: 36596942 DOI: 10.1038/s41390-022-02455-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 11/08/2022] [Accepted: 12/21/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Maternal metabolic disturbances and diet may influence long-term infantile neurodevelopment. We investigated whether maternal gestational diabetes mellitus (GDM), obesity, and diet could affect the neurodevelopment of 2-year-old children. METHODS Neurodevelopment of children (n = 243) born to mothers with overweight or obesity was assessed with the Bayley Scales of Infant and Toddler Development-Third Edition, and the Hammersmith Infant Neurological Examination. Maternal adiposity was determined by air displacement plethysmography, and GDM with an oral glucose tolerance test. Dietary assessment included diet quality and fish consumption questionnaires, and three-day food diaries, from which dietary inflammatory index (DII®) scores were computed. RESULTS GDM was associated with weaker expressive language skills (adj.β = -1.12, 95% CI = -2.10;-0.15), and higher maternal adiposity with weaker cognitive, language, and motor skills in children (adj.p < 0.05). Maternal good dietary quality (adj.β = 0.87, 95% CI = 0.004;1.73) and higher fish consumption (adj.p = 0.02) were related to better expressive language skills. DII scores were not associated with children's neurodevelopment. CONCLUSIONS Findings suggest that GDM and higher maternal adiposity may lead to weaker neurodevelopmental skills, although still within the mean normative range in this population of children. Good dietary quality and higher fish consumption during pregnancy could benefit a child's language development. IMPACT Gestational diabetes mellitus and maternal higher adiposity may have unfavorable effects on a 2-year-old child's neurodevelopment. An overall good quality of diet and higher fish consumption during pregnancy may result in more favorable cognitive and language skills when the child is 2-year-old. Our findings reveal that women with overweight or obesity, a risk group for pregnancy complications, could benefit from dietary counseling to support their children's neurodevelopment.
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11
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The intergenerational effects of parental physical activity on offspring brain and neurocognition in humans: a scoping review. Neurosci Biobehav Rev 2022; 143:104953. [DOI: 10.1016/j.neubiorev.2022.104953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/19/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022]
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Qin R, Ding Y, Lu Q, Jiang Y, Du J, Song C, Lv H, Lv S, Tao S, Huang L, Xu X, Liu C, Jiang T, Wang Z, Ma H, Jin G, Xia Y, Hu Z, Zhang F, Lin Y. Associations of maternal dietary patterns during pregnancy and fetal intrauterine development. Front Nutr 2022; 9:985665. [PMID: 36185689 PMCID: PMC9520705 DOI: 10.3389/fnut.2022.985665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Dietary pattern is excellent in reflecting an individual's eating conditions. Longitudinal data on fetal growth can reflect the process of intrauterine growth. We aimed to evaluate the associations between maternal dietary patterns and intrauterine parameters in middle and late pregnancy. The present study was conducted within Jiangsu Birth Cohort (JBC) study. Dietary information was assessed with a food frequency questionnaire (FFQ) in the second and third trimester of gestation. B-ultrasound scans were performed to obtain fetal intrauterine parameters, including head circumference (HC), femur length (FL), abdominal circumference (AC), and estimated fetal weight (EFW). Exploratory factor analysis was used to extract dietary patterns. Multiple linear regression and linear mixed-effects model (LMM) were used to investigate the association between maternal dietary patterns and fetal growth. A total of 1,936 pregnant women were eligible for the study. We observed inverse associations of maternal “Vegetables and fish” and “Snack and less eggs” patterns during mid-pregnancy with fetal HC Z-score, respectively (“Vegetables and fish”: β = −0.09, 95% CI −0.12, −0.06; “Snack and less eggs”: β = −0.05, 95% CI −0.08, −0.02). On the contrary, “Animal internal organs, thallophyte and shellfish” pattern in the second trimester was associated with increased HC Z-scores (β = 0.04, 95% CI 0.02, 0.06). Consistently, score increase in “Vegetables and fish” pattern in the third trimester was inversely associated with the Z-scores of HC (β = −0.05, 95% CI −0.09, −0.02), while “Meat and less nuts” pattern was positively correlated with the Z-scores of HC (β = 0.04, 95% CI 0.02, 0.07). As compared to the fetus whose mothers at the lowest tertile of “Snack and less eggs” pattern in both trimesters, those whose mothers at the highest tertile demonstrated 1.08 fold (RR = 2.10, 95% CI 1.34–3.28) increased risk of small HC for gestational age (GA). No correlation was observed between maternal dietary patterns and other intrauterine parameters. Our results suggested the effects of maternal dietary patterns on fetal growth, particularly HC. These findings highlighted the adverse impact of unhealthy dietary pattern on fetal growth, might provide evidence for strategies to prevent intrauterine dysplasia and dietary guidelines during pregnancy.
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Affiliation(s)
- Rui Qin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ye Ding
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qun Lu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Ci Song
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Siyuan Lv
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology and Nutritional Science, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shiyao Tao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lei Huang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xin Xu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cong Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tao Jiang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhixu Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Feng Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Obstetrics and Gynecology Hospital, National Health Commission (NHC) Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
- Feng Zhang
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
- *Correspondence: Yuan Lin
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de Seymour JV, Beck KL, Conlon CA, Jones MB, Colombo J, Xia YY, Han TL, Qi HB, Zhang H, Baker PN. An Investigation of the Relationship Between Dietary Patterns in Early Pregnancy and Maternal/Infant Health Outcomes in a Chinese Cohort. Front Nutr 2022; 9:775557. [PMID: 35529458 PMCID: PMC9075413 DOI: 10.3389/fnut.2022.775557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background Studies assessing links between maternal diet and pregnancy outcomes have focused predominantly on individual nutrients or foods. However, nutrients are typically consumed in combinations of foods or beverages (i.e., dietary patterns). Taking into account the diet as a whole appreciates that nutrient absorption and metabolism are influenced by other nutrients and the food matrix. Objective The aim of this study was to investigate the relationship between dietary pattern consumption in early pregnancy and pregnancy/infant outcomes, including gestational diabetes mellitus, gestational weight gain, preeclampsia, placental weight, gestational age at delivery, small-for-gestational-age, large-for-gestational-age, macrosomia, measures of infant body composition, and scores on two main indices of the Bayley Scales of Infant Development [Mental Development Index (MDI) and the Psychomotor Development Index (PDI)] at 12 months. Design Our study included 1,437 participants from a mother-infant cohort in Chongqing, China. Maternal diet was assessed using a 96-item food frequency questionnaire at 11–14 weeks gestation. Dietary patterns were constructed using principal component analysis. Multivariate regressions were performed to assess associations between maternal dietary pattern scores and pregnancy and infant outcomes, adjusting for confounders. Results Two dietary patterns were derived: a pattern high in pasta, sweetened beverages, and oils and condiments (PSO-based dietary pattern) and a pattern high in fish, poultry, and vegetables (FPV-based dietary pattern). Higher scores on the PSO-based dietary pattern were associated with lower infant standardized scores on the PDI of the Bayley Scales of Infant Development, β (95% confidence interval) = −1.276 (−2.392, −0.160); lower placental weight, β (95% CI) = −6.413 (−12.352g, −0.473); and higher infant's tricep skinfold thickness at 6 weeks of age. β (95% CI) = 0.279 (0.033, 0.526). Higher scores on the FPV-based dietary pattern were associated with higher gestational weight gain between visit 1 (11–14 week's gestation) and 3 (32–34 week's gestation). β (95% CI) = 25.612 (13.255, 37.969). No significant associations were observed between dietary pattern scores and the remaining pregnancy/infant outcomes investigated or MDI scores on the Bayley Scales of Infant Development. This was the first study to investigate the association between dietary patterns in early pregnancy and infant neurocognition in a Chinese cohort.
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Affiliation(s)
- Jamie V. de Seymour
- College of Health, Massey University, Auckland, New Zealand
- *Correspondence: Jamie V. de Seymour
| | | | | | | | - John Colombo
- Department of Psychology and Schiefelbusch Institute for Life Span Studies, University of Kansas, Lawrence, KS, United States
| | - Yin-Yin Xia
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
- Yin-Yin Xia
| | - Ting-Li Han
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hong-Bo Qi
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Philip N. Baker
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
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