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岳 芷, 韩 娜, 鲍 筝, 吕 瑾, 周 天, 计 岳, 王 辉, 刘 珏, 王 海. [A prospective cohort study of association between early childhood body mass index trajectories and the risk of overweight]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2024; 56:390-396. [PMID: 38864122 PMCID: PMC11167537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To compare the association between body mass index (BMI) trajectories determined by different methods and the risk of overweight in early childhood in a prospective cohort study, and to identify children with higher risk of obesity during critical growth windows of early childhood. METHODS A total of 1 330 children from Peking University Birth Cohort in Tongzhou (PKUBC-T) were included in this study. The children were followed up at birth, 1, 3, 6, 9, 12, 18, and 24 months and 3 years of age to obtain their height/length and weight data, and calculate BMI Z-score. Latent class growth mixture modeling (GMM) and longitudinal data-based k-means clustering algorithm (KML) were used to determine the grouping of early childhood BMI trajectories from birth to 24 mouths. Linear regression was used to compare the association between early childhood BMI trajectories determined by different methods and BMI Z-score at 3 years of age. The predictive performance of early childhood BMI trajectories determined by different methods in predicting the risk of overweight (BMI Z-score > 1) at 3 years was compared using the average area under the curve (AUC) of 5-fold cross-validation in Logistic regression models. RESULTS In the study population included in this research, the three-category trajectories determined using GMM were classified as low, medium, and high, accounting for 39.7%, 54.1%, and 6.2% of the participants, respectively. The two-category trajectories determined using the KML method were classified as low and high, representing 50. 3% and 49. 7% of the participants, respectively. The three-category trajectories determined using the KML method were classified as low, medium, and high, accounting for 31.1%, 47.4%, and 21.5% of the participants, respectively. There were certain differences in the growth patterns reflected by the early childhood BMI trajectories determined using different methods. Linear regression analysis found that after adjusting for maternal ethnicity, educational level, delivery mode, parity, maternal age at delivery, gestational week at delivery, children' s gender, and breastfeeding at 1 month of age, the association between the high trajectory group in the three-category trajectories determined by the KML method (manifested by a slightly higher BMI at birth, followed by rapid growth during infancy and a stable-high BMI until 24 months) and BMI Z-scores at 3 years was the strongest. Logistic regression analysis revealed that the three-category trajectory grouping determined by the KML method had the best predictive performance for the risk of overweight at 3 years. The results were basically consistent after additional adjustment for the high bound score of the child' s diet balanced index, average daily physical activity time, and screen time. CONCLUSION This study used different methods to identify early childhood BMI trajectories with varying characteristics, and found that the high trajectory group determined by the KML method was better able to identify children with a higher risk of overweight in early childhood. This provides scientific evidence for selecting appropriate methods to define early childhood BMI trajectories.
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Affiliation(s)
- 芷涵 岳
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - 娜 韩
- 北京市通州区妇幼保健院,北京 101101Tongzhou Maternal and Child Health Hospital of Beijing, Beijing 101101, China
| | - 筝 鲍
- 北京市通州区妇幼保健院,北京 101101Tongzhou Maternal and Child Health Hospital of Beijing, Beijing 101101, China
| | - 瑾莨 吕
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - 天一 周
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - 岳龙 计
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - 辉 王
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - 珏 刘
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 海俊 王
- 北京大学公共卫生学院妇幼卫生学系,北京 100191Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
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Foster SF, Rundle AG, Tsai I, Genkinger JM, Burns NR, Hoepner LA, Abrego MR, Dube S, Nichols AR, Ramirez-Carvey J, Oberfield SE, Hassoun A, Perera F, Widen EM. Postpartum Obesity Is Associated With Increases in Child Adiposity in Midchildhood in a Cohort of Black and Dominican Youth. Curr Dev Nutr 2024; 8:103770. [PMID: 38948110 PMCID: PMC11214177 DOI: 10.1016/j.cdnut.2024.103770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 04/18/2024] [Accepted: 05/07/2024] [Indexed: 07/02/2024] Open
Abstract
Background Obesity disproportionately affects marginalized and low-income populations. Birth parent obesity from the prenatal period and childhood has been associated with child obesity. It is unknown whether prenatal or postnatal birth parent obesity has differential effects on subsequent changes in adiposity and metabolic health in children. Objectives We evaluated how birth parent obesity 7 y after delivery was associated with child body composition changes and cardiometabolic health in midchildhood and further assessed the influence of the perinatal and postpartum period on associations. Methods Black and Dominican pregnant individuals were enrolled, and dyads (n = 319) were followed up at child age 7 and 9 y. Measures included, height, weight, waist circumference (WC), and percent body fat (BF%). Multiple linear regression was used to relate postpartum weight status with child outcomes accounting for attrition, and a series of secondary analyses were conducted with additional adjustment for perinatal weight status, gestational weight gain (GWG), and/or long-term weight retention to evaluate how these factors influenced associations. Results Almost one-quarter (23%) of birth parents and 24.1% children were classified with obesity at child age 7 y, while at 9 y, 30% of children had obesity. Birth parent obesity at child age 7 y was associated with greater changes, from ages 7 to 9 y, in child BMI z-score (β: 0.13; 95% CI: 0.02, 0.24) and BF% (β: 1.15; 95% CI: 0.22, 2.09) but not obesity at age 9 y. All observed associations crossed the null after additional adjustment for prenatal factors. Conclusions Birth parent obesity at 7-y postpartum is associated with greater gains in child BMI z-score and BF% in midchildhood. These associations diminish after accounting for prenatal size, suggesting a lasting impact of the perinatal environment and that interventions supporting families from the prenatal period through childhood are needed.
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Affiliation(s)
- Saralyn F Foster
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, United States
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
| | - Irene Tsai
- School of Medicine, Stony Brook University, Stony Brook, NY, United States
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
| | - Natalie R Burns
- Department of Statistics, University of Florida, Gainesville, FL, United States
| | - Lori A Hoepner
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Department of Environmental and Occupational Health Sciences, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
| | - Marcela R Abrego
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, United States
| | - Sara Dube
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, United States
| | - Amy R Nichols
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, United States
| | - Judyth Ramirez-Carvey
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
| | - Sharon E Oberfield
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Division of Pediatric Endocrinology, Department of Pediatrics, Columbia University College of Physicians and Surgeons, New York, NY, United States
| | - Abeer Hassoun
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
- Division of Pediatric Endocrinology, Department of Pediatrics, Columbia University College of Physicians and Surgeons, New York, NY, United States
| | - Frederica Perera
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
| | - Elizabeth M Widen
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, United States
- Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University Medical Center, New York, NY, United States
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Hull HR, Brown A, Gajewski B, Sullivan DK, Carlson SE. The Effect of Prenatal Docosahexaenoic Acid Supplementation on Offspring Fat Mass and Distribution at 24 Months Old. Curr Dev Nutr 2024; 8:103771. [PMID: 38948108 PMCID: PMC11214179 DOI: 10.1016/j.cdnut.2024.103771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 07/02/2024] Open
Abstract
Background Excessive gestational weight gain (GWG) is related to increased offspring fat accrual, and increased fat mass (FM) is related to obesity development. Prenatal DHA supplementation has been linked to lower levels of offspring FM; however, conflicting data exist. Objectives This study aimed to determine if there is a protective effect of prenatal DHA supplementation on offspring fat accrual and adipose tissue deposition at 24 mo in offspring born to females who gain excessive weight compared with nonexcessive weight during pregnancy. We also explored if the effect of DHA dose on FM differed by offspring sex. Methods Infants born to females who participated in the Assessment of DHA on Reducing Early Preterm Birth randomized controlled trial (ADORE) were recruited. In ADORE, females were randomly assigned to either a high or low prenatal DHA supplement. Offspring body composition and adipose tissue distribution were measured using dual-energy x-ray absorptiometry (DXA). GWG was categorized as excessive or not excessive based on clinical guidelines. Results For total FM, there was a significant main effect for the DHA dose (P = 0.03); however, the dose by GWG status was nonsignificant (P = 0.44). Therefore, a higher prenatal DHA dose was related to greater offspring FM (622.9 g greater) and unrelated to GWG status. When investigating a DHA dose by sex effect, a significant main effect for DHA dose (P = 0.01) was detected for central FM. However, no interaction was detected (P = 0.98), meaning that both boys and girls had greater central FM if their mother was assigned to the higher DHA dose. Conclusions Greater prenatal DHA supplementation was associated with greater offspring FM and adipose tissue distribution at 24 mo. It will be important to understand if these effects persist into childhood.This trial was registered at clinicaltrials.gov as NCT03310983.
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Affiliation(s)
- Holly R Hull
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS, United States
| | - Alexandra Brown
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, United States
| | - Byron Gajewski
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, United States
| | - Debra K Sullivan
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS, United States
| | - Susan E Carlson
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS, United States
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Deng R, Li WQ, Li XX, Wei LM, Hu J, Leng JH, Dong B. Maternal weight and its association with risk of overweight in offspring: a trajectory analysis from a birth cohort in China. World J Pediatr 2024; 20:496-505. [PMID: 37389783 DOI: 10.1007/s12519-023-00736-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/21/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Most studies on the association of maternal pregnancy weight with offspring weight trajectory have a short follow-up time. This study aimed to explore the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) with childhood weight trajectories in a 7-year birth cohort. METHODS A total of 946 mother-child pairs (467 boys and 479 girls) from a longitudinal birth cohort in Tianjin City, China, were included in this study, ranging from pregnancy to offspring at 7 years. The outcome variable was defined as overweight or not overweight in offspring at the last round. A group-based trajectory model was applied to identify childhood BMI trajectory groups. RESULTS Five discrete BMI trajectory groups were identified and characterized as constant underweight (25.2%), constant normal weight (42.8%), and high or increasing trajectory [at risk of overweight (16.9%), progressive overweight (11.0%) and progressive obesity (4.1%)]. Maternal prepregnancy overweight was associated with 1.72 (95% CI 1.14-2.60, P = 0.01) to 4.02 (95% CI 1.94-8.36, P < 0.001) times the risk of all high or increasing trajectory groups, and excessive GWG was related to groups at risk of overweight [relative risk ratio (RRR) 2.09, 95% CI 1.27-3.46, P = 0.004] and progressive obesity (RRR 3.33, 95% CI 1.13-9.79, P = 0.029). Children in all high or increasing trajectory groups were associated with greater overweight risk at the last round [risk ratios (RRs) ranged from 3.54 (95% CI 2.53-4.95, P < 0.001) to 6.18 (95% CI 4.05-9.42, P < 0.001)]. CONCLUSION Maternal prepregnancy overweight and excessive gestational weight gain were associated with increasing or high-level childhood body mass index trajectories as well as a greater risk of overweight at 7 years.
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Affiliation(s)
- Rui Deng
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Wei-Qin Li
- Tianjin Women and Children's Health Center, No. 96 Guizhou Rd, Heping District, Tianjin, 300070, China
| | - Xing-Xiu Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Liu-Mei Wei
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China
| | - Jie Hu
- Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia
| | - Jun-Hong Leng
- Tianjin Women and Children's Health Center, No. 96 Guizhou Rd, Heping District, Tianjin, 300070, China.
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
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Baqueiro MDN, Simino LADP, Costa JP, Panzarin C, Reginato A, Torsoni MA, Ignácio-Souza L, Milanski M, Ross MG, Coca KP, Desai M, Torsoni AS. Sex-Dependent Variations in Hypothalamic Fatty Acid Profile and Neuropeptides in Offspring Exposed to Maternal Obesity and High-Fat Diet. Nutrients 2024; 16:340. [PMID: 38337626 PMCID: PMC10857148 DOI: 10.3390/nu16030340] [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: 11/28/2023] [Revised: 01/03/2024] [Accepted: 01/17/2024] [Indexed: 02/12/2024] Open
Abstract
Maternal obesity and/or high-fat diet (HF) consumption can disrupt appetite regulation in their offspring, contributing to transgenerational obesity and metabolic diseases. As fatty acids (FAs) play a role in appetite regulation, we investigated the maternal and fetal levels of FAs as potential contributors to programmed hyperphagia observed in the offspring of obese dams. Female mice were fed either a control diet (CT) or HF prior to mating, and fetal and maternal blood and tissues were collected at 19 days of gestation. Elevated levels of linoleic acid were observed in the serum of HF dams as well as in the serum of their fetuses. An increased concentration of eicosadienoic acid was also detected in the hypothalamus of female HF-O fetuses. HF-O male fetuses showed increased hypothalamic neuropeptide Y (Npy) gene expression, while HF-O female fetuses showed decreased hypothalamic pro-opiomelanocortin (POMC) protein content. Both male and female fetuses exhibited reduced hypothalamic neurogenin 3 (NGN-3) gene expression. In vitro experiments confirmed that LA contributed to the decreased gene expression of Pomc and Ngn-3 in neuronal cells. During lactation, HF female offspring consumed more milk and had a higher body weight compared to CT. In summary, this study demonstrated that exposure to HF prior to and during gestation alters the FA composition in maternal serum and fetal serum and hypothalamus, particularly increasing n-6, which may play a role in the switch from POMC to NPY neurons, leading to increased weight gain in the offspring during lactation.
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Affiliation(s)
- Mayara da Nóbrega Baqueiro
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Laís Angélica de Paula Simino
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - João Paulo Costa
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Carolina Panzarin
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Andressa Reginato
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Marcio Alberto Torsoni
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Letícia Ignácio-Souza
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Marciane Milanski
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
| | - Michael G. Ross
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA; (M.G.R.); (M.D.)
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles at Harbor-UCLA, Torrance, CA 90502, USA
| | - Kelly Pereira Coca
- Ana Abrao Breastfeeding Center, Escola Paulista de Enfermagem, Universidade Federal São Paulo, UNIFESP, São Paulo 04037-001, São Paulo, Brazil;
| | - Mina Desai
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA; (M.G.R.); (M.D.)
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles at Harbor-UCLA, Torrance, CA 90502, USA
| | - Adriana Souza Torsoni
- Faculdade de Ciências Aplicadas, Universidade de Campinas, UNICAMP, Limeira 13484-350, São Paulo, Brazil; (M.d.N.B.); (L.A.d.P.S.); (J.P.C.); (C.P.); (A.R.); (M.A.T.); (L.I.-S.); (M.M.)
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Hockett CW, Harrall KK, Glueck DH, Dabelea DM. Exposure to Gestational Diabetes and BMI Trajectories Through Adolescence: The Exploring Perinatal Outcomes Among Children Study. J Clin Endocrinol Metab 2023; 108:2898-2906. [PMID: 37200149 PMCID: PMC10583996 DOI: 10.1210/clinem/dgad278] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/24/2023] [Accepted: 05/16/2023] [Indexed: 05/20/2023]
Abstract
CONTEXT Previous studies have shown that exposure to maternal gestational diabetes mellitus (GDM) is associated with increased offspring body mass index (BMI) and risk for overweight or obesity. OBJECTIVE This study aimed to explore differences in BMI trajectories among youth exposed or not exposed to maternal GDM and understand whether these associations differ across life stages. METHODS Data from 403 mother/child dyads (76 exposed; 327 not exposed) participating in the longitudinal Exploring Perinatal Outcomes among Children (EPOCH) study in Colorado were used. Participants who had 2 or more longitudinal height measurements from 27 months to a maximum of 19 years were included in the analysis. Life stages were defined using puberty related timepoints: early childhood (27 months to pre-adolescent dip [PAD, average age 5.5 years]), middle childhood (from PAD to age at peak height velocity [APHV, average age 12.2 years]), and adolescence (from APHV to 19 years). Separate general linear mixed models, stratified by life stage, were used to assess associations between GDM exposure and offspring BMI. RESULTS There was not a significant association between exposure to GDM and BMI trajectories during early childhood (P = .27). In middle childhood, participants exposed to GDM had higher BMI trajectories compared to those not exposed (males: P = .005, females: P = .002) and adolescent (P = .02) periods. CONCLUSION Our study indicates that children who are exposed to GDM may experience higher BMI trajectories during middle childhood and adolescence, but not during early childhood. These data suggest that efforts to prevent childhood obesity among those exposed in utero to maternal GDM should start before pubertal onset.
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Affiliation(s)
- Christine W Hockett
- Avera Research Institute, Sioux Falls, SD 57108, USA
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD 57105, USA
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Dana M Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
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Rudd KL, Zhao Q, Lisha NE, Graff JC, Norona-Zhou A, Roubinov DS, Barrett ES, Juarez P, Carroll KN, Karr CJ, Sathyanarayana S, Mason WA, LeWinn KZ, Bush NR. The role of prenatal violence exposure in the development of disparities in children's adiposity from birth to middle childhood. Obesity (Silver Spring) 2023; 31:2119-2128. [PMID: 37394870 PMCID: PMC10523867 DOI: 10.1002/oby.23794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 07/04/2023]
Abstract
OBJECTIVE This study examined whether women's exposure to multiple types of violence during childhood and pregnancy was associated with children's BMI trajectories and whether parenting quality moderated those associations. METHODS A cohort of 1288 women who gave birth between 2006 and 2011 self-reported their exposure to childhood traumatic events, intimate partner violence (IPV), and residential address (linked to geocoded index of violent crime) during pregnancy. Children's length/height and weight at birth and at age 1, 2, 3, 4 to 6, and 8 years were converted to BMI z scores. Observed mother-child interactions were behaviorally coded during a dyadic teaching task. RESULTS Covariate-adjusted growth mixture models identified three trajectories of children's BMI from birth to 8 years old: Low-Stable (17%), Moderate-Stable (59%), and High-Rising (22%). Children whose mothers experienced more types of IPV during pregnancy were more likely to be in the High-Rising than the Low-Stable (odds ratio [OR] = 2.62; 95% CI: 1.27-5.41) trajectory. Children whose mothers lived in higher crime neighborhoods were more likely to be in the High-Rising than the Low-Stable (OR = 1.11; 95% CI:1.03-1.17) or Moderate-Stable trajectories (OR = 1.08; CI: 1.03-1.13). Main effects of childhood traumatic events and moderation by parenting were not detected. CONCLUSIONS Maternal experiences of violence during pregnancy increase children's risk for developing overweight, highlighting intergenerational transmission of social adversity in children's health.
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Affiliation(s)
- Kristen L Rudd
- Department of Psychology, University of Colorado, Colorado Springs, Colorado Springs, Colorado, USA
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Nadra E Lisha
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - J Carolyn Graff
- College of Nursing, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Amanda Norona-Zhou
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Danielle S Roubinov
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, New Jersey, USA
| | - Paul Juarez
- Family and Community Medicine, Meharry Medical College, Nashville, Tennessee, USA
| | - Kecia N Carroll
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Catherine J Karr
- Department of Pediatrics, University of Washington Medicine, Seattle, Washington, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington Medicine, Seattle, Washington, USA
- Seattle Children's Research Institute, Seattle, Washington, USA
| | - W Alex Mason
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Weill Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
- Department of Pediatrics, School of Medicine, University of California, San Francisco, San Francisco, California, USA
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8
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Diaz-Thomas AM, Golden SH, Dabelea DM, Grimberg A, Magge SN, Safer JD, Shumer DE, Stanford FC. Endocrine Health and Health Care Disparities in the Pediatric and Sexual and Gender Minority Populations: An Endocrine Society Scientific Statement. J Clin Endocrinol Metab 2023; 108:1533-1584. [PMID: 37191578 PMCID: PMC10653187 DOI: 10.1210/clinem/dgad124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Indexed: 05/17/2023]
Abstract
Endocrine care of pediatric and adult patients continues to be plagued by health and health care disparities that are perpetuated by the basic structures of our health systems and research modalities, as well as policies that impact access to care and social determinants of health. This scientific statement expands the Society's 2012 statement by focusing on endocrine disease disparities in the pediatric population and sexual and gender minority populations. These include pediatric and adult lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA) persons. The writing group focused on highly prevalent conditions-growth disorders, puberty, metabolic bone disease, type 1 (T1D) and type 2 (T2D) diabetes mellitus, prediabetes, and obesity. Several important findings emerged. Compared with females and non-White children, non-Hispanic White males are more likely to come to medical attention for short stature. Racially and ethnically diverse populations and males are underrepresented in studies of pubertal development and attainment of peak bone mass, with current norms based on European populations. Like adults, racial and ethnic minority youth suffer a higher burden of disease from obesity, T1D and T2D, and have less access to diabetes treatment technologies and bariatric surgery. LGBTQIA youth and adults also face discrimination and multiple barriers to endocrine care due to pathologizing sexual orientation and gender identity, lack of culturally competent care providers, and policies. Multilevel interventions to address these disparities are required. Inclusion of racial, ethnic, and LGBTQIA populations in longitudinal life course studies is needed to assess growth, puberty, and attainment of peak bone mass. Growth and development charts may need to be adapted to non-European populations. In addition, extension of these studies will be required to understand the clinical and physiologic consequences of interventions to address abnormal development in these populations. Health policies should be recrafted to remove barriers in care for children with obesity and/or diabetes and for LGBTQIA children and adults to facilitate comprehensive access to care, therapeutics, and technological advances. Public health interventions encompassing collection of accurate demographic and social needs data, including the intersection of social determinants of health with health outcomes, and enactment of population health level interventions will be essential tools.
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Affiliation(s)
- Alicia M Diaz-Thomas
- Department of Pediatrics, Division of Endocrinology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Sherita Hill Golden
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Dana M Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Adda Grimberg
- Department of Pediatrics, Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sheela N Magge
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Joshua D Safer
- Department of Medicine, Division of Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10001, USA
| | - Daniel E Shumer
- Department of Pediatric Endocrinology, C.S. Mott Children's Hospital, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Fatima Cody Stanford
- Massachusetts General Hospital, Department of Medicine-Division of Endocrinology-Neuroendocrine, Department of Pediatrics-Division of Endocrinology, Nutrition Obesity Research Center at Harvard (NORCH), Boston, MA 02114, USA
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9
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Jayasinghe IU, Agampodi TC, Dissanayake AK, Agampodi SB. Early pregnancy metabolic syndrome and risk for adverse pregnancy outcomes: findings from Rajarata Pregnancy Cohort (RaPCo) in Sri Lanka. BMC Pregnancy Childbirth 2023; 23:231. [PMID: 37020187 PMCID: PMC10074348 DOI: 10.1186/s12884-023-05548-y] [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: 10/27/2022] [Accepted: 03/25/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Despite the intergenerational effects of metabolic disorders, evidence is greatly lacking on early pregnancy metabolic syndrome (MetS) and its effects on pregnancy outcomes from low- and middle-income countries. Thus, this prospective cohort of South Asian pregnant women aimed to evaluate how early pregnancy MetS would affect pregnancy outcomes. METHODS A prospective cohort study was conducted among first-trimester (T1) pregnant women of Anuradhapura district, Sri Lanka recruited to the Rajarata Pregnancy Cohort in 2019. MetS was diagnosed by the Joint Interim Statement criteria before 13 weeks of gestational age (GA). Participants were followed up until their delivery, and the major outcomes measured were large for gestational age (LGA), small for gestational age (SGA), preterm birth (PTB) and miscarriage (MC). Gestational weight gain, gestational age at delivery and neonatal birth weight were used as measurements to define the outcomes. Additionally, outcome measures were re-assessed with adjusting fasting plasma glucose (FPG) thresholds of MetS to be compatible with hyperglycemia in pregnancy (Revised MetS). RESULTS 2326 T1 pregnant women with a mean age of 28.1 years (SD-5.4), and a median GA of 8.0 weeks (IQR-2) were included. Baseline MetS prevalence was 5.9% (n = 137, 95%CI-5.0-6.9). Only 2027 (87.1%) women from baseline, had a live singleton birth, while 221(9.5%) had MC and 14(0.6%) had other pregnancy losses. Additionally, 64(2.8%) were lost to follow-up. A higher cumulative incidence of LGA, PTB, and MC was noted among the T1-MetS women. T1-MetS carried significant risk (RR-2.59, 95%CI-1.65-3.93) for LGA, but reduced the risk for SGA (RR-0.41, 95%CI-0.29-0.78). Revised MetS moderately increased the risk for PTB (RR-1.54, 95%CI-1.04-2.21). T1-MetS was not associated (p = 0.48) with MC. Lowered FPG thresholds were significantly associated with risk for all major pregnancy outcomes. After adjusting for sociodemographic and anthropometric confounders, revised MetS remained the only significant risk predictor for LGA. CONCLUSION Pregnant women with T1 MetS in this population are at an increased risk for LGA and PTB and a reduced risk for SGA. We observed that a revised MetS definition with lower threshold for FPG compatible with GDM would provide a better estimation of MetS in pregnancy in relation to predicting LGA.
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Affiliation(s)
- Imasha Upulini Jayasinghe
- Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka.
| | - Thilini Chanchala Agampodi
- Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka
| | - Ajith Kumara Dissanayake
- Department of Gynaecology and Obstetrics, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka
| | - Suneth Buddhika Agampodi
- Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka
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10
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Xie J, Han Y, Peng L, Zhang J, Gong X, Du Y, Ren X, Zhou L, Li Y, Zeng P, Shao J. BMI growth trajectory from birth to 5 years and its sex-specific association with prepregnant BMI and gestational weight gain. Front Nutr 2023; 10:1101158. [PMID: 36866049 PMCID: PMC9971005 DOI: 10.3389/fnut.2023.1101158] [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: 11/17/2022] [Accepted: 01/18/2023] [Indexed: 02/16/2023] Open
Abstract
Objective The purpose of the study was to identify the latent body mass index (BMI) z-score trajectories of children from birth to 5 years of age and evaluate their sex-specific association with prepregnant BMI and gestational weight gain (GWG). Methods This was a retrospective longitudinal cohort study performed in China. In total, three distinct BMI-z trajectories from birth to 5 years of age were determined for both genders using the latent class growth modeling. The logistic regression model was used to assess the associations of maternal prepregnant BMI and GWG with childhood BMI-z growth trajectories. Results Excessive GWG increased the risks of children falling into high-BMI-z trajectory relative to adequate GWG (OR = 2.04, 95% CI: 1.29, 3.20) in boys; girls born to mothers with prepregnancy underweight had a higher risk of low-BMI-z trajectory than girls born to mothers with prepregnancy adequate weight (OR = 1.85, 95% CI: 1.22, 2.79). Conclusion BMI-z growth trajectories of children from 0 to 5 years of age have population heterogeneity. Prepregnant BMI and GWG are associated with child BMI-z trajectories. It is necessary to monitor weight status before and during pregnancy to promote maternal and child health.
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Affiliation(s)
- Jinting Xie
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yan Han
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Lei Peng
- Xuzhou Maternal and Child Health Family Planning Service Center, Xuzhou, Jiangsu, China
| | - Jingjing Zhang
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiangjun Gong
- Xuzhou Maternal and Child Health Family Planning Service Center, Xuzhou, Jiangsu, China
| | - Yan Du
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiangmei Ren
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Li Zhou
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yuanhong Li
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ping Zeng
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jihong Shao
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,*Correspondence: Jihong Shao,
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11
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Yoshinaga M, Takahashi H, Ito Y, Aoki M, Miyazaki A, Kubo T, Shinomiya M, Horigome H, Tokuda M, Lin L, Ogata H, Nagashima M. Developmental trajectories at a high risk for childhood overweight/obesity. Pediatr Int 2023; 65:e15425. [PMID: 36416571 DOI: 10.1111/ped.15425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 08/24/2022] [Accepted: 10/12/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The associations between developmental patterns (trajectories) in children and maternal factors have been widely investigated, but paternal effects on these trajectories are unclear. This study aimed to determine child and parental factors involved in developmental trajectories at high risk for causing adverse cardiovascular (CV) profiles in children. METHODS We analyzed longitudinal anthropometric data from birth to the present and CV profiles of 1,832 healthy volunteers (51% girls) aged 3-15 years who participated in a nationwide study between July 2012 and January 2014. Six trajectory latent class growth models were developed using body mass index z- scores. Predictors for being in developmental trajectories at high risk for causing adverse CV profiles were determined by multivariate regression analysis. RESULTS The mean±standard deviation number of anthropometric data points was 12±3 for both boys and girls. Among the six trajectories, the infantile onset and continual increase groups had significantly worse levels of many CV profiles than those in the remaining groups. Paternal overweight/obesity was an independent predictor for boys being in the infantile onset group and for girls being in the continual increase group. Additionally, maternal pre-pregnancy overweight/obesity in boys and maternal excessive gestational weight gain in girls were independent predictors for being in the infantile onset group. Having no sibling in boys and an older maternal age were independent predictors for being in the continual increase group. CONCLUSIONS Interventions to prevent childhood obesity should include strategies that focus on fathers and mothers as well as those that focus on children with certain types of familial background.
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Affiliation(s)
- Masao Yoshinaga
- Department of Pediatrics, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.,Orange Medical and Welfare Center for Severe Motor and Intellectual Disabilities, Kirishima, Japan
| | | | - Yoshiya Ito
- Clinical Medicine Area, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
| | - Machiko Aoki
- Department of Pediatrics, Aoki Internal Medicine and Cardiovascular and Pediatrics Clinic, Fukuoka, Japan
| | - Ayumi Miyazaki
- Department of Pediatrics, Japan Community Health Care Organization Takaoka Fushiki Hospital, Takaoka, Japan
| | - Toshihide Kubo
- Department of Pediatrics, National Hospital Organization Okayama Medical Center, Okayama, Japan
| | - Masaki Shinomiya
- Department of Internal Medicine, Nishifuna Naika, Funabashi, Japan
| | - Hitoshi Horigome
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | | | - Lisheng Lin
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Hiromitsu Ogata
- Epidemiology and Biostatistics, Kagawa Nutrition University, Sakado, Japan
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12
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Clavenna A, Morabito E, Cartabia M, Campi R, Pandolfini CL, Bonati M. National, longitudinal NASCITA birth cohort study: prevalence of overweight at 12 months of age in children born healthy. BMJ Paediatr Open 2023; 7:10.1136/bmjpo-2022-001622. [PMID: 36625429 PMCID: PMC9814999 DOI: 10.1136/bmjpo-2022-001622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/11/2022] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE To estimate the prevalence of overweight at 12 months in an Italian birth cohort and to identify factors related to an increased likelihood of being overweight. METHODS The Italian NASCITA birth cohort was analysed. Infants were classified as underweight (<5th), normal weight (5-84th) and overweight (≥85th centile) at 12 months of age according to the WHO percentiles of body mass index (BMI) and the prevalence of overweight was estimated. To test the association between the chance of being overweight and parental and newborn characteristics, and infant feeding, healthy newborns (no preterm/low birth weight and with no malformations), with appropriate-for-gestational-age birth weight were selected, and univariate and multivariate analyses were performed. RESULTS The prevalence of overweight was 23.5% (95% CI 22.2% to 24.8%) in all cohort members with 12-month data (N=4270), and 23.1% in the appropriate-for-gestational age subsample (N=2835).A big infant appetite (OR 3.92, 95% CI 2.40 to 6.40) and living in southern Italy (OR 1.58, 95% CI 1.29 to 1.94) were the main variables associated with a greater likelihood of being overweight. Breastfeeding practice did not influence the chance of being overweight, but was associated with an increase (exclusive breast feeding for at least 6 months) or a decrease (breast feeding for at least 12 months) in BMI z score at 12 months. CONCLUSIONS The sociodemographic factors (eg, area of residence, maternal employment status) seem to be the most relevant determinants influencing the chance of being overweight at 12 months. Early interventions, with particular attention to vulnerable families, may be helpful in preventing childhood and adult obesity.
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Affiliation(s)
- Antonio Clavenna
- Laboratory of Pharmacoepidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Eleonora Morabito
- Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Massimo Cartabia
- Laboratory of Pharmacoepidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Rita Campi
- Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Chiara Liz Pandolfini
- Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Maurizio Bonati
- Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
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13
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Hu Z, Han L, Liu J, Fowke JH, Han JC, Kakhniashvili D, LeWinn KZ, Bush NR, Mason WA, Zhao Q. Prenatal metabolomic profiles mediate the effect of maternal obesity on early childhood growth trajectories and obesity risk: the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study. Am J Clin Nutr 2022; 116:1343-1353. [PMID: 36055779 PMCID: PMC9630879 DOI: 10.1093/ajcn/nqac244] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/26/2022] [Accepted: 08/30/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Maternal prepregnancy obesity is an important risk factor for offspring obesity, which may partially operate through prenatal programming mechanisms. OBJECTIVES The study aimed to systematically identify prenatal metabolomic profiles mediating the intergenerational transmission of obesity. METHODS We included 450 African-American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study pregnancy cohort. LC-MS was used to conduct metabolomic profiling on maternal plasma samples of the second trimester. The childhood growth outcomes of interest included BMI trajectories from birth to age 4 y (rising-high-, moderate-, and low-BMI trajectories) as well as overweight/obesity (OWO) risk at age 4 y. Mediation analysis was conducted to identify metabolite mediators linking maternal OWO and childhood growth outcomes. The potential causal effects of maternal OWO on metabolite mediators were examined using the Mendelian randomization (MR) method. RESULTS Among the 880 metabolites detected in the maternal plasma during pregnancy, 14 and 11 metabolites significantly mediated the effects of maternal prepregnancy OWO on childhood BMI trajectories and the OWO risk at age 4 y, respectively, and 5 mediated both outcomes. The MR analysis suggested 6 of the 20 prenatal metabolite mediators might be causally influenced by maternal prepregnancy OWO, most of which are from the pathways related to the metabolism of amino acids (hydroxyasparagine, glutamate, and homocitrulline), sterols (campesterol), and nucleotides (N2,N2-dimethylguanosine). CONCLUSIONS Our study provides further evidence that prenatal metabolomic profiles might mediate the effect of maternal OWO on early childhood growth trajectories and OWO risk in offspring. The metabolic pathways, including identified metabolite mediators, might provide novel intervention targets for preventing the intrauterine development of obesity in the offspring of mothers with obesity.
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Affiliation(s)
- Zunsong Hu
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Luhang Han
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jiawang Liu
- Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joan C Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, TN, USA; Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, New York, NY, USA
| | - David Kakhniashvili
- Proteomics and Metabolomics Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - W Alex Mason
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
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14
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Łoniewska B, Michalczyk K, Podsiadło K, Adamek K, Michalczyk B, Tousty P, Kaczmarczyk M, Łoniewski I. Analysis of the Influence of Pre-Pregnancy BMI and Weight Gain during Pregnancy on the Weight of Healthy Children during the First 2 Years of Life: A Prospective Study. CHILDREN 2022; 9:children9101431. [PMID: 36291367 PMCID: PMC9600872 DOI: 10.3390/children9101431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/18/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022]
Abstract
Background: Increased pre-pregnancy maternal BMI (pBMI) and gestational weight gain (GWG) have been found to increase infants’ birthweight and result in the programming of child weight and impact its later weight gain. Aim: To assess the impact of pBMI and GWG on the weight of children from birth to 2 years of age and over the duration of breastfeeding. Methods: Single Centre observational prospective longitudinal cohort study. Data were collected from medical records, and medical history. The analysis of multiple linear and mixed models was involved. Findings: 20% of females were overweight, while 13% were obese before the pregnancy. An overall model, including gender and smoking, indicated a significant impact of pBMI category on a child’s birth mass (p = 0.01). The GWG category affected a child’s birth weight (p = 0.018, Effect size 0.41). pBMI did not affect the breastfeeding duration. Conclusion: pBMI and GWG correlate with birth weight and weight in neonatal period, however they become insignificant in later childhood. Weight assessment methods among children aged up to two years of age require standardization. Maternal weight before the pregnancy nor the weight gain during the pregnancy do not influence the length of breastfeeding. The biggest limitation was the small sample size and the failure to account for weight gain per trimester of pregnancy. Further research on a larger population should be continued.
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Affiliation(s)
- Beata Łoniewska
- Department of Neonatology and Intensive Neonatal Care, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Kaja Michalczyk
- Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
- Correspondence:
| | - Konrad Podsiadło
- Department of Clinical and Molecular Biochemistry, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Karolina Adamek
- Department of Neonatology and Intensive Neonatal Care, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Barbara Michalczyk
- Department of Neonatology and Intensive Neonatal Care, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Piotr Tousty
- Department of Obstetrics and Gynecology, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Mariusz Kaczmarczyk
- Department of Clinical and Molecular Biochemistry, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Igor Łoniewski
- Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, 71-460 Szczecin, Poland
- Department of Biochemical Sciences, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
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15
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Associations of Gestational Diabetes Mellitus and Excessive Gestational Weight Gain with Offspring Obesity Risk. Curr Med Sci 2022; 42:520-529. [PMID: 35486298 DOI: 10.1007/s11596-022-2547-y] [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: 11/18/2020] [Accepted: 05/10/2021] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) and gestational weight gain (GWG) are important risk factors that are known to affect offspring growth, but these outcomes are inconsistent and it remains unknown if both risk factors have a synergetic effect on early childhood growth. The present study aimed to conduct offspring body mass index-for-age Z-scores (BMIZ) trajectories and to evaluate the independent and interactive effect of the status of GDM and excessive GWG on the risks of overweight/obesity from birth to 24 months of age. METHODS A total of 7949 mother-child pairs were enrolled in this study. The weight and length of children were measured at birth, 6, 12, and 24 months of age to calculate BMIZ. RESULTS The status of GDM was positively associated with offspring BMIZ and risk of macrosomia at birth but was not associated with offspring BMIZ or the risks of overweight/obesity at 6, 12, and 24 months of age. In contrast, excessive GWG was positively linked to offspring BMIZ, the stable high BMIZ trajectory pattern, and risks of overweight/obesity in the first 24 months of age. These two risk factors also had a significant synergistic effect on macrosomia at birth, but the interactive effect was only significant in boys during the follow-up years in the sex-stratified analyses. CONCLUSION The maternal GWG was a more pronounced predictor than GDM with relation to BMIZ and risk of overweight/obesity in early childhood. The interactive effect between these risk factors on offspring overweight/obesity may vary by sex.
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16
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Chang R, Mei H, Zhang Y, Xu K, Yang S, Zhang J. Early childhood body mass index trajectory and overweight/obesity risk differed by maternal weight status. Eur J Clin Nutr 2022; 76:450-455. [PMID: 34535773 DOI: 10.1038/s41430-021-00975-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 06/11/2021] [Accepted: 06/23/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVES To evaluate the associations of maternal prepregnancy body mass index (pp-BMI) and gestational weight gain (GWG) with the childhood BMI z-score (BMI-z) trajectories from birth to 2 years old and the risk of overweight/obesity (OWO) at 2 years of age. SUBJECTS/METHODS Mother-child dyads (23,617) were involved in the analysis. They were followed up from early pregnancy to 2 years postpartum with their healthcare data recorded in the Wuhan Maternal and Child Health Management Information System (WMCHMIS). The OWO in children was defined as BMI-z > 1. Linear mixed models (LMM) and unconditional logistic regression were used to evaluate the independent and joint associations of pp-BMI and GWG with the BMI-z trajectory of children per their anthropometric measurements at 0, 1, 3, 6, 9, 12, 18, and 24 months old and the risk of OWO at 2 years of age. RESULTS Maternal overweight/obesity and excessive GWG independently and jointly increased the risks of their offspring falling into high BMI-z trajectories of birth to 2 years (p < 0.001). In addition, the children whose mothers were overweight/obese before pregnancy and gained excessive weight during pregnancy independently and jointly increased the OWO risk in children at age 2, with adjusted odds ratios (adjOR) of 1.36 (95% CI, 1.22-1.53), 1.28 (95% CI, 1.18-1.39), and 1.76 (95% CI: 1.52-2.03), respectively. CONCLUSIONS Maternal prepregnancy overweight/obesity and excessive GWG can independently and jointly increase the risks of their children falling into high BMI-z trajectories from birth to 2 years of age and becoming overweight/obese at age 2. Maternal overweight/obesity and excessive gestational weight should be the prime targets for early obese prevention efforts.
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Affiliation(s)
- Ruixia Chang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hong Mei
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Zhang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ke Xu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shaoping Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Jianduan Zhang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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17
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Hufnagel A, Fernandez-Twinn DS, Blackmore HL, Ashmore TJ, Heaton RA, Jenkins B, Koulman A, Hargreaves IP, Aiken CE, Ozanne SE. Maternal but not fetoplacental health can be improved by metformin in a murine diet-induced model of maternal obesity and glucose intolerance. J Physiol 2022; 600:903-919. [PMID: 34505282 PMCID: PMC7612651 DOI: 10.1113/jp281902] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/26/2021] [Indexed: 12/19/2022] Open
Abstract
Maternal obesity is a global problem that increases the risk of short- and long-term adverse outcomes for mother and child, many of which are linked to gestational diabetes mellitus. Effective treatments are essential to prevent the transmission of poor metabolic health from mother to child. Metformin is an effective glucose lowering drug commonly used to treat gestational diabetes mellitus; however, its wider effects on maternal and fetal health are poorly explored. In this study we used a mouse (C57Bl6/J) model of diet-induced (high sugar/high fat) maternal obesity to explore the impact of metformin on maternal and feto-placental health. Metformin (300 mg kg-1 day-1 ) was given to obese females via the diet and was shown to achieve clinically relevant concentrations in maternal serum (1669 ± 568 nM in late pregnancy). Obese dams developed glucose intolerance during pregnancy and had reduced uterine artery compliance. Metformin treatment of obese dams improved maternal glucose tolerance, reduced maternal fat mass and restored uterine artery function. Placental efficiency was reduced in obese dams, with increased calcification and reduced labyrinthine area. Consequently, fetuses from obese dams weighed less (P < 0.001) at the end of gestation. Despite normalisation of maternal parameters, metformin did not correct placental structure or fetal growth restriction. Metformin levels were substantial in the placenta and fetal circulation (109.7 ± 125.4 nmol g-1 in the placenta and 2063 ± 2327 nM in fetal plasma). These findings reveal the distinct effects of metformin administration during pregnancy on mother and fetus and highlight the complex balance of risk vs. benefits that are weighed in obstetric medical treatments. KEY POINTS: Maternal obesity and gestational diabetes mellitus have detrimental short- and long-term effects for mother and child. Metformin is commonly used to treat gestational diabetes mellitus in many populations worldwide but the effects on fetus and placenta are unknown. In a mouse model of diet-induced obesity and glucose intolerance in pregnancy we show reduced uterine artery compliance, placental structural changes and reduced fetal growth. Metformin treatment improved maternal metabolic health and uterine artery compliance but did not rescue obesity-induced changes in the fetus or placenta. Metformin crossed the placenta into the fetal circulation and entered fetal tissue. Metformin has beneficial effects on maternal health beyond glycaemic control. However, despite improvements in maternal physiology, metformin did not prevent fetal growth restriction or placental ageing. The high uptake of metformin into the placental and fetal circulation highlights the potential for direct immediate effects of metformin on the fetus with possible long-term consequences postnatally.
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Affiliation(s)
- Antonia Hufnagel
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Denise S Fernandez-Twinn
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Heather L Blackmore
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Thomas J Ashmore
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Robert A Heaton
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Benjamin Jenkins
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Albert Koulman
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
| | - Iain P Hargreaves
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Catherine E Aiken
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, University of Cambridge, United Kingdom
| | - Susan E Ozanne
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Level 4, Addenbrooke’s Hospital, Cambridge, Cambridgeshire, United Kingdom, CB22 0QQ
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18
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Sangu PV, Balakrishna N, Challapalli B, Ravikanti K. Mini Female Health Program for detection of non-communicable diseases in Women – In a urban teaching hospital in India. WOMEN'S HEALTH 2022; 18:17455057221135493. [DOI: 10.1177/17455057221135493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background: Prevalence of non-communicable diseases (NCDs) is increasing with women affected at an early age. The Mini Female Health Program (MFHP) is a simple screening package to detect NCDs in women. Objective: Determine the prevalence of selected NCDs in a hospital-based outpatient setting using MFHP. Methods: A cross-sectional observational study was conducted in an urban teaching hospital in India. MFHP included medical history, physical examination and investigations. NCDS of interest included anaemia, thyroid disorders, hypertension, diabetes, and obesity. Analysis was performed on groups stratified by age groups (18–30, 31–40 and > 41 years). Between group comparison and association of hypertension with other variables was undertaken. Results: Final analysis included 468 women, of whom 49.8%, 29.9%, and 20.3% were between 18–30, 31–40, and >41 years, respectively. Central obesity was most common NCD (waist to height ratio (WHR) > 0.5 (72.7%), waist circumference (WC) > 80 cm (62.7%)) followed by generalized obesity (body mass index (BMI) > 25 kg/m2 (52.4%)), anaemia (52.6%), thyroid disorders (27.4%), hypertension (14.1%) and diabetes (5.1%). Half of the women between 18 and 30 years were either overweight (BMI: 23–25 kg/m2) or obese. Increasing age was associated with a significant increase in the prevalence of hypertension, diabetes, thyroid disorders and obesity, but not anaemia. Only 9.8% of women were without an NCD with 17.3% having one NCD and 72.8% reporting multiple NCDs. Hypertension was strongly associated with age and WHR in multivariate regression analysis. Conclusion: The MFHP has highlighted the high prevalence of NCDs in women, particularly in young women demonstrating the value of simple screening programme in routine clinical care.
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19
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Li S, Qiu Y, Yuan X, Zhang Q, Kilby MD, Saffery R, Baker PN, Wen L, Tong C, Qi H. Impact of maternal gestational weight gain in twin pregnancies on early childhood obesity risk: A longitudinal birth cohort study. Front Pediatr 2022; 10:906086. [PMID: 35983080 PMCID: PMC9378839 DOI: 10.3389/fped.2022.906086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To investigate the impact of gestational weight gain (GWG) on the body mass index-for-age z score (BAZ) and obesity risk among twin offspring. METHODS This study included 263 women who were pregnant with twins and their offspring. Maternal GWG was measured in each trimester, and infant weight and length were measured at 6, 12, and 24 months. RESULTS Total GWG was positively correlated with offspring birthweight and BAZ at 6, 12 and 24 months [adjusted β 0.013 (95% CI: 0.008-0.019), 0.028 (95% CI: 0.005-0.050), 0.033 (95% CI: 0.010-0.056) and 0.025 (95% CI: 0.004-0.047), respectively]. Excessive total GWG was related to an increased relative risk (RR) of large for gestational age (LGA) and overweight at 6 and 12 months. Only the second trimester gestational weight gain rate (GWGR) was positively correlated with birthweight (adjusted β 0.380, 95% CI: 0.256-0.504), and RRs of 6.818 (95% CI: 1.568-29.642) and 2.852 (95% CI: 1.466-5.548) were found for LGA and overweight at 12 months, respectively. CONCLUSIONS Total GWG and the second trimester GWGR were correlated with BAZ and overweight/obesity risk in twin offspring; the impact was obvious in the first year of life and gradually disappeared over time. CLINICAL TRIAL REGISTRATION ChiCTR-OOC-16008203, Registered on 1 April 2016 at the Chinese Clinical Trial Registry.
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Affiliation(s)
- Sisi Li
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuhan Qiu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xi Yuan
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qin Zhang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mark D Kilby
- Birmingham Women's and Children's Foundation Trust, Fetal Medicine Centre, Birmingham, United Kingdom.,Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Richard Saffery
- Molecular Immunity, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia.,Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
| | - Li Wen
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chao Tong
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Chongqing Women and Children's Health Center, Chongqing, China
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20
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Zhu BB, Gao H, Geng ML, Wu X, Tong J, Deng F, Zhang SY, Wu LH, Huang K, Wu XY, Gan H, Zhu P, Tao FB. Sex Discrepancy Observed for Gestational Metabolic Syndrome Parameters and Polygenic Risk Associated With Preschoolers' BMI Growth Trajectory: The Ma'anshan Birth Cohort Study. Front Endocrinol (Lausanne) 2022; 13:857711. [PMID: 35846310 PMCID: PMC9283700 DOI: 10.3389/fendo.2022.857711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Few studies have investigated the associations of childhood growth trajectories with the prenatal metabolic risks of mothers and their interaction with children's genetic susceptibility. OBJECTIVE To investigate the effects of gestational metabolic syndrome (GMS) risks and children's polygenic risk scores (PRSs), and their interaction effect on the BMI trajectory and obesity risk of offspring from birth to 6 years of age. METHODS A total of 2,603 mother-child pairs were recruited from the Ma'anshan birth cohort (Anhui Province of China) study. Data on maternal prepregnancy obesity, gestational weight gain (GWG), gestational diabetes mellitus (GDM), and hypertensive disorders of pregnancy (HDP) were used to evaluate maternal GMS risk. In addition, 1,482 cord blood samples were used to genotype 11 candidate single-nucleotide polymorphisms (SNPs) to calculate children's PRSs. The latent class growth model using the longitudinal BMI-for-age z scores (BMIz) was applied to validly capture the BMIz growth trajectory. RESULTS Maternal GMS status was associated with higher BMIz scores and with an increased risk of overweight/obesity. Positive relationships were revealed between PRS and the risk of overweight/obesity among girls. Additionally, maternal GMS significantly interacted with the child's PRS on BMIz scores and the risk of overweight/obesity among girls. Hierarchical BMI trajectory graphs by different exposure groups showed consistent findings, and both boys' and girls' BMIz trajectories were divided into three groups. Among girls, the higher the GMS risk or PRS they had, the higher the probability of being in the high BMIz trajectory group. CONCLUSIONS Maternal GMS status increased BMIz scores and the risk of obesity in both boys and girls and elevated the child's BMI trajectory from birth to 6 years of age among girls. PRSs were significantly associated with children's BMI trajectory and the risk of obesity and modified the associations between maternal GMS status and obesity biomarkers only among girls. Thus, regarding childhood obesity, steps should be taken to decrease maternal metabolic risks before and during pregnancy, and sex discrepancies should be noted to identify high-risk populations after birth to hierarchically manage them.
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Affiliation(s)
- Bei-bei Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Hui Gao
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, (Anhui Medical University), National Health Commission of the People’s Republic China, Hefei, China
| | - Meng-long Geng
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiulong Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Juan Tong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Fen Deng
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Si-ying Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Li-hong Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Kun Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiao-yan Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Fang-biao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- *Correspondence: Fang-biao Tao,
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21
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Krukowski R, Johnson B, Kim H, Sen S, Homsi R. A Pragmatic Intervention Using Financial Incentives for Pregnancy Weight Management: Feasibility Randomized Controlled Trial. JMIR Form Res 2021; 5:e30578. [PMID: 34951594 PMCID: PMC8742213 DOI: 10.2196/30578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/29/2021] [Accepted: 11/17/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Excessive gestational weight gain (GWG) is common and can result in maternal and child health complications. Pragmatic behavioral interventions that can be incorporated into standard obstetric care are needed, and financial incentives are a promising approach. OBJECTIVE The aim of this study is to evaluate the feasibility of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, in a behavioral program. The program provided small incentives for meeting behavioral goals of self-weighing and physical activity as well as larger outcome incentives for meeting GWG goals. METHODS We recruited 40 adult women in their first trimester of pregnancy from February 2019 to September 2019 at an obstetric clinic. Participants were randomized to 3 intervention components using a 2×2×2 factorial design: daily incentives for self-weighing (lottery vs certain loss), incentives for adhering to the Institute of Medicine's GWG guidelines based on BMI category (monthly vs overall), and incentives for reaching physical activity goals (yes vs no). Participants were asked to complete daily weigh-ins using the Withings Body wireless scale provided by the study, as well as wear a physical activity tracker (Fitbit Flex 2). Feasibility outcomes of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, were assessed. Weight assessments were conducted at baseline, 32-week gestation, and 36-week gestation. RESULTS Participants were enrolled at, on average, 9.6 (SD 1.8) weeks' gestation. Of the 39 participants who were oriented to their condition and received the intervention, 24 (62%) were Black or African American, 30 (77%) were not married, and 29 (74%) had an annual household income of less than US $50,000. Of the 39 participants, 35 (90%) completed the follow-up data collection visit. Participants were generally quite positive about the intervention components, with a particular emphasis on the helpfulness of, and the enjoyment of using, the e-scale in both the quantitative and qualitative feedback. Participants who received the loss incentive, on average, had 2.86 times as many days of self-weighing as those who received the lottery incentive. Participants had a relatively low level of activity, with no difference between those who received a physical activity incentive and those who did not. CONCLUSIONS A financial incentive-based pragmatic intervention was feasible and acceptable for pregnant women for promoting self-weighing, physical activity, and healthy GWG. Participants were successfully recruited early in their first trimester of pregnancy and retained for follow-up data collection in the third trimester. Participants demonstrated promising engagement in self-weighing, particularly with loss-based incentives, and reported finding the self-weighing especially helpful. This study supports further investigation of pragmatic, clinic-based financial incentive-based interventions for healthy GWG behaviors. TRIAL REGISTRATION ClinicalTrials.gov NCT03834194; https://clinicaltrials.gov/ct2/show/NCT03834194.
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Affiliation(s)
- Rebecca Krukowski
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.,Department of Public Health Science, University of Virginia, Charlottesville, VA, United States
| | - Brandi Johnson
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Hyeonju Kim
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Saunak Sen
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Riad Homsi
- Just For Women Obstetric Clinic, Memphis, TN, United States
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22
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Maternal body mass index, offspring body mass index, and blood pressure at 18 years: a causal mediation analysis. Int J Obes (Lond) 2021; 45:2532-2538. [PMID: 34341469 DOI: 10.1038/s41366-021-00930-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/14/2021] [Accepted: 07/26/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Understanding the natural history of hypertension is key to identifying prevention strategies. Previous work suggests that in utero exposures and offspring anthropometrics may play a role. This study examined the relationship between maternal pre-pregnancy body mass index (BMI) and the mediating role of childhood and adolescent BMI on offspring blood pressure at 18 years. METHODS We performed multivariable regression and causal mediation analyses within 3217 mother - offspring pairs from the Avon Longitudinal Study of Parents and Children prospective birth cohort. The main exposure was maternal pre-pregnancy BMI, and the outcome was offspring blood pressure at 18 years of age categorized as normal or elevated. Latent trajectory analysis was used to quantify the mediator, offspring BMI trajectories, derived from multiple measurements throughout childhood and adolescence. Mediation analyses were repeated using current offspring BMI at 18 years as a continuous variable. RESULTS Multivariable logistic regression revealed that for every 1 unit increase in maternal BMI, the risk of elevated blood pressure at 18 years of age increased by 5% (aOR: 1.05, 95% CI: 1.03-1.07; p < 0.001). The strength of this association was reduced after adjusting for offspring BMI trajectory (aOR: 1.03, 95% CI: 1.00-1.05; p = 0.017) and eliminated after adjusting for offspring BMI at 18 years (aOR: 1.00; 95% CI: 0.98-1.03; p = 0.70). Causal mediation analysis confirmed offspring BMI at 18 years as a mediator, where BMI trajectory accounted for 46% of the total effect of maternal BMI on elevated offspring blood pressure and current BMI account for nearly the entire effect. CONCLUSIONS Maternal pre-pregnancy BMI is associated with an increased risk of elevated blood pressure in offspring at 18 years of age although it appears to be entirely mediated by offspring BMI.
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Bandres-Meriz J, Majali-Martinez A, Hoch D, Morante M, Glasner A, van Poppel MNM, Desoye G, Herrera E. Maternal C-Peptide and Insulin Sensitivity, but Not BMI, Associate with Fatty Acids in the First Trimester of Pregnancy. Int J Mol Sci 2021; 22:10422. [PMID: 34638763 PMCID: PMC8508886 DOI: 10.3390/ijms221910422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/19/2021] [Accepted: 09/24/2021] [Indexed: 12/19/2022] Open
Abstract
Maternal obesity in pregnancy is a pro-inflammatory condition exposing the fetus to an adverse environment. Here, we tested associations of maternal obesity (primary exposures: BMI, leptin) and metabolic parameters (secondary exposures: glucose, C-peptide, and insulin sensitivity) with total serum concentrations of fatty acids in the first trimester of human pregnancy. This cross-sectional study included 123 non-smoking women with singleton pregnancy. In maternal serum, cotinine, leptin, and C-peptide (ELISA), glucose (hexokinase-based test) and fatty acids (gas chromatography) were quantified, and the insulin sensitivity index (ISHOMA) was calculated. Concentrations of fatty acid classes and total fatty acids did not differ between BMI or leptin categories. However, n-3 polyunsaturated fatty acids (PUFA) were decreased in the category with the highest C-peptide concentration (n-3 PUFA: CI -35.82--6.28, p < 0.006) and in the lowest ISHOMA category (n-3 PUFA: CI -36.48--5.61, p < 0.008). In a subcohort, in which fetal sex was determined (RT-qPCR of placental tissue), C-peptide was significantly associated with docosahexaenoic acid (DHA) in mothers bearing a female (n = 46), but not male (n = 37) fetus. In conclusion, pregnant women with high fasting C-peptide and low ISHOMA had decreased n-3 PUFA, and DHA was lower with higher C-peptide only in mothers bearing a female fetus.
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Affiliation(s)
- Julia Bandres-Meriz
- Department of Obstetrics and Gynaecology, Medical University of Graz, 8036 Graz, Austria; (A.M.-M.); (D.H.)
| | - Alejandro Majali-Martinez
- Department of Obstetrics and Gynaecology, Medical University of Graz, 8036 Graz, Austria; (A.M.-M.); (D.H.)
| | - Denise Hoch
- Department of Obstetrics and Gynaecology, Medical University of Graz, 8036 Graz, Austria; (A.M.-M.); (D.H.)
| | - Milagros Morante
- Faculty of Pharmacy, Universidad San Pablo CEU, 28668 Madrid, Spain; (M.M.); (E.H.)
| | | | | | - Gernot Desoye
- Department of Obstetrics and Gynaecology, Medical University of Graz, 8036 Graz, Austria; (A.M.-M.); (D.H.)
| | - Emilio Herrera
- Faculty of Pharmacy, Universidad San Pablo CEU, 28668 Madrid, Spain; (M.M.); (E.H.)
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Jin H, Shan T, Li S, Fan X, Zhao Y, Li J, Tang X, Saffery R, Tong C, Wen L, Qi H, Kilby MD, Baker PN. Association of infant feeding patterns with body fat mass and obesity in the first 2 years of life: a longitudinal twin birth cohort study. Int J Food Sci Nutr 2021; 73:263-273. [PMID: 34412548 DOI: 10.1080/09637486.2021.1968357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Childhood obesity is a major public health problem with no effective intervention. We explored the influence of feeding patterns on infants' growth indices within the first 2 years in a twin birth cohort. Dietary intake at 12 months was recorded with a food frequency questionnaire, and dietary patterns were identified by principal component analysis. Milk feeding methods in first 6 months were categorised as breastfeeding or exclusive formula feeding. Correlations between feeding patterns and infants' growth indices were examined via generalised estimating equations. Two dietary patterns were identified and neither of which was related to growth indices. Breastfed infants had a higher body fat mass (BFM) percentage at 12 months, a higher body mass index (BMI) increment from birth to 6 months and a lower BMI increment from 6 to 12 months. Breastfed infants were likely positively correlated with BFM at 12 months; as complementary food was added, the effect of breastfeeding on growth gradually decreased.
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Affiliation(s)
- Huili Jin
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tengfei Shan
- Department of Obstetrics and Gynecology, The First People's Hospital of Yuhang District, Hangzhou, China
| | - Sisi Li
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Fan
- Department of Child Healthcare, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yan Zhao
- Department of Child Healthcare, Chongqing Health Center for Women and Children, Chongqing, China
| | - Jie Li
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiqin Tang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Richard Saffery
- Cancer, Disease and Developmental Epigenetics, Murdoch Children's Research Institute, Parkville, Australia
| | - Chao Tong
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Wen
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mark D Kilby
- Institute of Metabolism & Systems Research, University of Birmingham, Birmingham, UK
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, UK
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25
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Franzago M, Fraticelli F, Marchioni M, Di Nicola M, Di Sebastiano F, Liberati M, Stuppia L, Vitacolonna E. Fat mass and obesity-associated (FTO) gene epigenetic modifications in gestational diabetes: new insights and possible pathophysiological connections. Acta Diabetol 2021; 58:997-1007. [PMID: 33743080 PMCID: PMC8272710 DOI: 10.1007/s00592-020-01668-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/26/2020] [Indexed: 12/16/2022]
Abstract
AIMS Gestational diabetes mellitus (GDM) can lead to short- and long-term complications for the child. Epigenetic alterations could contribute to explaining the metabolic disturbances associated with foetal programming. Although the role of the FTO gene remains unclear, it affects metabolic phenotypes probably mediated by epigenetic mechanisms. The aim of this study was to assess whether placental DNA epigenetic modifications at FTO promoter-associated cysteine-phosphate-guanine (CpG) sites are correlated with GDM. A secondary aim was to evaluate the association between the placental FTO DNA methylation and the maternal metabolic traits in women with and without GDM. METHODS Socio-demographic characteristics, clinical parameters at the third trimester of pregnancy, Mediterranean diet adherence, and physical activity were assessed in 33 GDM women and 27 controls. Clinical information about the newborns was registered at birth. The FTO rs9939609 (T > A) was genotyped. RESULTS No association between FTO DNA methylation and GDM was found. DNA methylation on the maternal side at the CpG1 was associated with maternal smoking in GDM (p = 0.034), and DNA methylation at the CpG3 was correlated with smoking or former smoking in controls (p = 0.023). A higher level of TGs was correlated with higher foetal placental DNA methylation at the CpG2 (p = 0.036) in GDM. An inverse association between HDL-C and maternal placental DNA methylation at the CpG3 in controls (p = 0.045) was found. An association between FTO rs9939609 and neonatal birthweight (p = 0.033) was detected. CONCLUSIONS In the awareness that the obesity pathophysiology is complex, the study adds a piece to this intricate mosaic.
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Affiliation(s)
- Marica Franzago
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Via dei Vestini, 66100, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Federica Fraticelli
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Via dei Vestini, 66100, Chieti, Italy
| | - Michele Marchioni
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G.D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Marta Di Nicola
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G.D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Francesca Di Sebastiano
- Department of Obstetric and Gynaecology, SS. Annunziata Hospital, "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Marco Liberati
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Via dei Vestini, 66100, Chieti, Italy
| | - Liborio Stuppia
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
- Department of Psychological, Health and Territorial Sciences, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Ester Vitacolonna
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Via dei Vestini, 66100, Chieti, Italy.
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy.
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26
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Zhao Q, Hu Z, Kocak M, Liu J, Fowke JH, Han JC, Kakhniashvili D, Lewinn KZ, Bush NR, Mason WA, Tylavsky FA. Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study. Int J Obes (Lond) 2021; 45:1439-1447. [PMID: 33824402 PMCID: PMC8496965 DOI: 10.1038/s41366-021-00808-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 02/17/2021] [Accepted: 03/22/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Prenatal metabolomics profiles, providing measures of in utero nutritional and environmental exposures, may improve the prediction of childhood outcomes. We aimed to identify prenatal plasma metabolites associated with early childhood body mass index (BMI) trajectories and overweight/obesity risk in offspring. METHODS This study included 450 African American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood Study. An untargeted metabolomics analysis was performed on the mothers' plasma samples collected during the second trimester. The children's BMI-z-score trajectories from birth to age 4 [rising-high- (9.8%), moderate- (68.2%), and low-BMI (22.0%)] and overweight/obesity status at age 4 were the main outcomes. The least absolute shrinkage and selection operator (LASSO) was used to select the prenatal metabolites associated with childhood outcomes. RESULTS The mothers were 24.5 years old on average at recruitment, 76.4% having education less than 12 years and 80.0% with Medicaid or Medicare. In LASSO, seven and five prenatal metabolites were associated with the BMI-z-score trajectories and overweight/obese at age 4, respectively. These metabolites are mainly from/relevant to the pathways of steroid biosynthesis, amino acid metabolism, vitamin B complex, and xenobiotics metabolism (e.g., caffeine and nicotine). The odds ratios (95% CI) associated with a one SD increase in the prenatal metabolite risk scores (MRSs) constructed from the LASSO-selected metabolites were 2.97 (1.95-4.54) and 2.03 (1.54-2.67) for children being in the rising-high-BMI trajectory group and overweight/obesity at age 4, respectively. The MRSs significantly improved the risk prediction for childhood outcomes beyond traditional prenatal risk factors. The increase (95% CI) in the area under the receiver operating characteristic curves were 0.10 (0.03-0.18) and 0.07 (0.02-0.12) for the rising-high-BMI trajectory (P = 0.005) and overweight/obesity at age 4 (P = 0.007), respectively. CONCLUSIONS Prenatal metabolomics profiles advanced prediction of early childhood growth trajectories and obesity risk in offspring.
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Affiliation(s)
- Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
| | - Zunsong Hu
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mehmet Kocak
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jiawang Liu
- Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
- Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joan C Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - David Kakhniashvili
- Proteomics and Metabolomics Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kaja Z Lewinn
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Bush
- Departments of Pediatrics and Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - W Alex Mason
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Frances A Tylavsky
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
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27
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Casasnovas J, Damron CL, Jarrell J, Orr KS, Bone RN, Archer-Hartmann S, Azadi P, Kua KL. Offspring of Obese Dams Exhibit Sex-Differences in Pancreatic Heparan Sulfate Glycosaminoglycans and Islet Insulin Secretion. Front Endocrinol (Lausanne) 2021; 12:658439. [PMID: 34108935 PMCID: PMC8181410 DOI: 10.3389/fendo.2021.658439] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/20/2021] [Indexed: 12/12/2022] Open
Abstract
Offspring of obese mothers suffer higher risks of type 2 diabetes due to increased adiposity and decreased β cell function. To date, the sex-differences in offspring islet insulin secretion during early life has not been evaluated extensively, particularly prior to weaning at postnatal day 21 (P21). To determine the role of maternal obesity on offspring islet insulin secretion, C57BL/6J female dams were fed chow or western diet from 4 weeks prior to mating to induce maternal obesity. First, offspring of chow-fed and obese dams were evaluated on postnatal day 21 (P21) prior to weaning for body composition, glucose and insulin tolerance, and islet phasic insulin-secretion. Compared to same-sex controls, both male and female P21 offspring born to obese dams (MatOb) had higher body adiposity and exhibited sex-specific differences in glucose tolerance and insulin secretion. The male MatOb offspring developed the highest extent of glucose intolerance and lowest glucose-induced insulin secretion. In contrast, P21 female offspring of obese dams had unimpaired insulin secretion. Using SAX-HPLC, we found that male MatOb had a decrease in pancreatic heparan sulfate glycosaminoglycan, which is a macromolecule critical for islet health. Notably, 8-weeks-old offspring of obese dams continued to exhibit a similar pattern of sex-differences in glucose intolerance and decreased islet insulin secretion. Overall, our study suggests that maternal obesity induces sex-specific changes to pancreatic HSG in offspring and a lasting effect on offspring insulin secretion, leading to the sex-differences in glucose intolerance.
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Affiliation(s)
- Jose Casasnovas
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Christopher Luke Damron
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - James Jarrell
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Kara S. Orr
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Robert N. Bone
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | - Parastoo Azadi
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, United States
| | - Kok Lim Kua
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
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28
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Diet-induced dysbiosis of the maternal gut microbiome in early life programming of neurodevelopmental disorders. Neurosci Res 2021; 168:3-19. [PMID: 33992660 DOI: 10.1016/j.neures.2021.05.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/10/2021] [Accepted: 05/10/2021] [Indexed: 12/12/2022]
Abstract
The maternal gut microbiome plays a critical role in fetal and early postnatal development, shaping fundamental processes including immune maturation and brain development, among others. Consequently, it also contributes to fetal programming of health and disease. Over the last decade, epidemiological studies and work in preclinical animal models have begun to uncover a link between dysbiosis of the maternal gut microbiome and neurodevelopmental disorders in offspring. Neurodevelopmental disorders are caused by both genetic and environmental factors, and their interactions; however, clinical heterogeneity, phenotypic variability, and comorbidities make identification of underlying mechanisms difficult. Among environmental factors, exposure to maternal obesity in utero confers a significant increase in risk for neurodevelopmental disorders. Obesogenic diets in humans, non-human primates, and rodents induce functional modifications in maternal gut microbiome composition, which animal studies suggest are causally related to adverse mental health outcomes in offspring. Here, we review evidence linking maternal diet-induced gut dysbiosis to neurodevelopmental disorders and discuss how it could affect pre- and early postnatal brain development. We are hopeful that this burgeoning field of research will revolutionize antenatal care by leading to accessible prophylactic strategies, such as prenatal probiotics, to improve mental health outcomes in children affected by maternal diet-induced obesity.
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29
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Breastfeeding and growth trajectory from birth to 5 years among children exposed and unexposed to gestational diabetes mellitus in utero. J Perinatol 2021; 41:1033-1042. [PMID: 33510423 DOI: 10.1038/s41372-021-00932-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 11/09/2020] [Accepted: 01/15/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVES This study aims to evaluate the association between exposure to gestational diabetes mellitus and growth trajectory from birth to 5 years and to test whether breastfeeding influences this association among children exposed and unexposed to gestational diabetes. STUDY DESIGN Weight at 0, 6, 12, and 18 months and 2, 3, 4, and 5 years were retrospectively collected for 103 children exposed and 63 children unexposed to gestational diabetes. Weight-for-age z-score was calculated. Mixed linear model for repeated measurements were computed to test whether breastfeeding was associated differently with weight-for-age z-score of children exposed or unexposed to diabetes. RESULTS Children exposed to gestational diabetes had greater z-score values at 6 months and 4 and 5 years (p < 0.10). Breastfeeding duration was not associated with weight-for-age z-score trajectory in any children. CONCLUSION Children exposed to gestational diabetes had a different growth trajectory in early life, but breastfeeding duration did not seem to influence this association.
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30
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Toftemo I, Jenum AK, Sletner L. Body mass index trajectories up to preschool age in a multi-ethnic population; relations with maternal gestational diabetes, BMI and gestational weight gain. Acta Paediatr 2021; 110:1239-1248. [PMID: 33098684 DOI: 10.1111/apa.15637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/08/2020] [Accepted: 10/21/2020] [Indexed: 12/16/2022]
Abstract
AIM Independent effects of gestational diabetes (GDM), maternal prepregnant obesity and gestational weight gain on offspring BMI and obesity are scarcely documented. We examined associations between GDM and children's BMI trajectories from birth to 4-5 years age, and effects of prepregnant obesity and gestational weight gain not mediated through GDM. METHODS We included 734 children from a population-based, multi-ethnic cohort of women and their offspring followed from early pregnancy. All women were screened for GDM. Using linear mixed models, we explored associations between maternal factors and children's BMI development through seven serial measurements. RESULTS At birth and age 4-5 years, BMI of children exposed to GDM was similar to those not exposed. However, they had slower BMI growth (B = -0.1 BMI units/month (95% CI: -0.17, -0.04)) during first 6 months, and faster BMI growth from 6 months to 4-5 years. Maternal prepregnant obesity was associated with higher child BMI at birth, and thereafter persistently higher BMI. High gestational weight gain was associated with faster BMI growth from 6 months to 4-5 years. CONCLUSION Effects of maternal GDM, prepregnant obesity, and gestational weight gain on children's BMI and BMI trajectories from birth to preschool age differed in relation to effect size, timing and direction.
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Affiliation(s)
- Ingun Toftemo
- General Practice Research Unit (AFE) Department of General Practice Faculty of Medicine Institute of Health and Society University of Oslo Oslo Norway
| | - Anne Karen Jenum
- General Practice Research Unit (AFE) Department of General Practice Faculty of Medicine Institute of Health and Society University of Oslo Oslo Norway
| | - Line Sletner
- Akershus University Hospital Lørenskog Norway
- Department of Clinical Medicine University of Oslo Oslo Norway
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31
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Cattane N, Räikkönen K, Anniverno R, Mencacci C, Riva MA, Pariante CM, Cattaneo A. Depression, obesity and their comorbidity during pregnancy: effects on the offspring's mental and physical health. Mol Psychiatry 2021; 26:462-481. [PMID: 32632208 PMCID: PMC7850968 DOI: 10.1038/s41380-020-0813-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 05/20/2020] [Accepted: 06/05/2020] [Indexed: 02/08/2023]
Abstract
Depression and obesity represent two of the most common complications during pregnancy and are associated with severe health risks for both the mother and the child. Although several studies have analysed the individual effects of depression or obesity on the mothers and their children, the effects associated with the co-occurrence of both disorders have so far been poorly investigated. The relationship between depression and obesity is very complex and it is still unclear whether maternal depression leads to obesity or vice versa. It is well known that the intrauterine environment plays an important role in mediating the effects of both depression and obesity in the mother on the fetal programming, increasing the child's risk to develop negative outcomes.
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Affiliation(s)
- Nadia Cattane
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Roberta Anniverno
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Claudio Mencacci
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Marco A Riva
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Carmine M Pariante
- Stress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Annamaria Cattaneo
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
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32
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Janoschek R, Hoffmann T, Morcos YAT, Sengle G, Dötsch J, Hucklenbruch-Rother E. Asprosin in pregnancy and childhood. Mol Cell Pediatr 2020; 7:18. [PMID: 33354737 PMCID: PMC7755955 DOI: 10.1186/s40348-020-00110-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/09/2020] [Indexed: 12/21/2022] Open
Affiliation(s)
- Ruth Janoschek
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
| | - Thorben Hoffmann
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
| | - Yousef Ashraf Tawfik Morcos
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gerhard Sengle
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Cologne Center for Musculoskeletal Biomechanics (CCMB), Cologne, Germany
| | - Jörg Dötsch
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Eva Hucklenbruch-Rother
- Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
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33
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Goker A, Kosova F, Koken Durgun S, Demirtas Z. The effect of postpartum period back massage on serum ghrelin, leptin, adiponectin and visfatin levels. Complement Ther Clin Pract 2020; 42:101284. [PMID: 33338885 DOI: 10.1016/j.ctcp.2020.101284] [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: 07/24/2020] [Revised: 11/17/2020] [Accepted: 12/05/2020] [Indexed: 11/27/2022]
Abstract
In addition to the initiation and continuity of lactation, hormones transferred from mother plasma to milk during breastfeeding are also important. The aim of this study was to determine the effect of back massage on maternal serum ghrelin, leptin, adiponectin and visfatin levels in women giving birth. A total of 60 mothers, participated in this experimental study. Massage was applied in the first 3-4 h after birth. Blood sample was taken in the postnatal routine. It was determined that the intervention group did not make a statistically significant difference in ghrelin (1.37 ± 0.7, 1.00 ± 0.2), leptin (0.76 ± 0.5, 0.70 ± 0.1), adiponectin (3.55 ± 0.8, 3.05 ± 0.5) levels compared to the control group (p > 0.05). However, visfatin (10.53 ± 2.4, 9.97 ± 2.0) levels were statistically higher than the control group (p < 0.05). Back massage was found to be beneficial in terms of increased growth factors in breast milk production and content.
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Affiliation(s)
- Asli Goker
- Manisa Celal Bayar University Faculty of Medicine Department of Obstetrics and Gynecology Manisa, Turkey.
| | - Funda Kosova
- Manisa Celal Bayar University Vocation School of Health Services, Medical Biochemistry Manisa, Turkey
| | - Secil Koken Durgun
- Manisa Celal Bayar University School of Health Department of Midwifery Manisa, Turkey
| | - Zuhal Demirtas
- Manisa Celal Bayar University School of Health Department of Midwifery Manisa, Turkey
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34
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Lindholm A, Bergman S, Alm B, Bremander A, Dahlgren J, Roswall J, Staland-Nyman C, Almquist-Tangen G. Nutrition- and feeding practice-related risk factors for rapid weight gain during the first year of life: a population-based birth cohort study. BMC Pediatr 2020; 20:507. [PMID: 33148198 PMCID: PMC7643358 DOI: 10.1186/s12887-020-02391-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 10/14/2020] [Indexed: 11/23/2022] Open
Abstract
Background Rapid weight gain (RWG) during infancy increases the risk of excess weight later in life. Nutrition- and feeding practices associated with RWG need to be further examined. The present study aimed to examine nutrition- and feeding practice-related risk factors for RWG during the first year of life. Methods A population-based longitudinal birth cohort study of 1780 infants, classified as having RWG or non-RWG during 0–3-4, 0–6 and 6–12 months. RWG was defined as a change > 0.67 in weight standard deviation scores. Associations between nutrition- and feeding practice-related factors and RWG were examined with logistic regression models. Results Of the participating infants, 47% had RWG during 0–3-4 months, 46% during 0–6 months and 8% during 6–12 months. In the fully adjusted models, bottle-feeding at birth and at 3–4 months and nighttime meals containing formula milk were positively associated with RWG during 0–3-4 months (p < 0.05 for all). Breastfeeding at 3–4 months and nighttime meals containing breast milk were negatively associated with RWG during this period (p < 0.001). Bottle-feeding at birth, 3–4 and 6 months and nighttime meals containing formula milk at 3–4 months were positively associated with RWG during 0–6 months (p < 0.01 for all). Breastfeeding at 3–4 and 6 months was negatively associated with RWG (p < 0.01). During 6–12 months, only bottle-feeding at 3–4 months was positively associated with RWG (p < 0.05). Conclusions RWG was more common during the first 6 months of life and bottle-feeding and formula milk given at night were risk factors for RWG during this period. Supplementary information Supplementary information accompanies this paper at 10.1186/s12887-020-02391-4.
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Affiliation(s)
- Annelie Lindholm
- School of Health and Welfare, Halmstad University, Kristian IV:s väg 3, 301 18, Halmstad, Sweden. .,Research and Development Center Spenshult, Halmstad, Sweden.
| | - Stefan Bergman
- Research and Development Center Spenshult, Halmstad, Sweden.,Primary Health Care Unit, Department of Public Health and Community Medicine, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bernt Alm
- Department of Pediatrics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ann Bremander
- Research and Development Center Spenshult, Halmstad, Sweden.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Jovanna Dahlgren
- Department of Pediatrics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Josefine Roswall
- Department of Pediatrics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Pediatrics, Halland Hospital, Halmstad, Sweden
| | - Carin Staland-Nyman
- School of Health and Welfare, Halmstad University, Kristian IV:s väg 3, 301 18, Halmstad, Sweden
| | - Gerd Almquist-Tangen
- Department of Pediatrics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Child Health Care Unit, Region Halland, Halmstad, Sweden
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Maternal resistance to diet-induced obesity partially protects newborn and post-weaning male mice offspring from metabolic disturbances. J Dev Orig Health Dis 2020; 12:660-670. [PMID: 33023711 DOI: 10.1017/s204017442000094x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The rising rate of childhood overweight follows the increase in maternal obesity, since perinatal events impact offspring in a diversity of metabolic disorders. Despite many studies that have linked dietary consumption, overnutrition, or maternal obesity as the mediators of fetal metabolic programming, there are gaps regarding the knowledge about the contribution of different maternal phenotypes to the development of metabolic disturbances in offspring. This study aimed to investigate whether maternal high-fat diet (HFD) consumption without the development of the obese phenotype would protect offspring from metabolic disturbances. Female mice were fed standard chow diet or a HFD for 4 weeks before mating. HFD females were classified into obesity-resistant (OR) or obesity-prone (OP), according to weight gain. OP females presented with higher adiposity, fasting serum glucose and insulin, cholesterol and non-esterified fatty acid (NEFA). Newborn offspring from OP dams showed higher serum glucose and insulin and alteration in hepatic gene expression that may have contributed to the rise in hepatic fat content and decline of glycogen levels in the liver. Despite offspring from OR and OP females having showed similar growth after the day of delivery, offspring from OP females had higher caloric intake, fasting glucose, serum triglycerides and altered hepatic gene expression, as well as glucose and pyruvate intolerance and lower insulin sensitivity at d28 compared with offspring from OR females. Maternal pre-pregnancy serum glucose, insulin, and NEFA positively correlated with serum glucose and fat liver content and negatively correlated with hepatic glycogen in offspring. In conclusion, our results show that maternal resistance to diet-induced obesity partially protects offspring from early metabolic disturbances.
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Rubin MB, Miller CM, Bauer SC, Ariza AJ, Binns HJ. Identifying characteristics and outcomes in youth with obesity and developmental disabilities. Disabil Health J 2020; 14:100988. [PMID: 32980288 DOI: 10.1016/j.dhjo.2020.100988] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/20/2020] [Accepted: 08/27/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Youth with developmental disability are at increased risk of obesity; literature focusing on the two is rare. OBJECTIVE To identify characteristics and outcomes of youth presenting for obesity care having a disability as compared to without. METHODS A medical record review of youth aged 2-18 years initiating obesity care 2013-2015 at a tertiary care obesity management program. Youth were grouped by disability status to identify differences in presenting characteristics and factors associated with a reduction in body mass index (BMI) percent of the 95th BMI percentile (BMIp95) over 12 months. Logistic regression (LR) models examined associations with BMIp95 drop (<5-points versus ≥5-points) for each disability group. RESULTS Of 887 subjects, 253 (28.5%) had a disability. At presentation, youth with disability were more often (p < 0.01) male (58.5% versus 47.9%), had birth weight <2500 g (14.1% versus 8.4%), had a father who was not obese (61.6% versus 47.4%), and were on weight influencing medications. Overall, 182 subjects (20.5%) completed 12-month follow-up. At follow-up, the with disability group (n = 63) had mean -2.3 (SD 10.7) BMIp95 change (p = 0.679); youth having a motor disability less often had ≥5-point BMIp95 drop (odds ratio 0.15, 95% confidence interval 0.04-0.59). At follow-up, the no disability group (n = 119) had mean -2.9 (SD 8.5) BMIp95 change; youth identified as having initial severe obesity status and not having a parent with diabetes more often had ≥5-point BMIp95 drop. CONCLUSION Youth with developmental disabilities were as successful in obesity care as those without disabilities. Predictors of success differed between the groups.
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Affiliation(s)
| | | | - Sarah C Bauer
- Advocate Children's Hospital and the Pediatric Developmental Center at Advocate Illinois Masonic Medical Center, Chicago, IL, USA
| | - Adolfo J Ariza
- Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA; Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Helen J Binns
- Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA; Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
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Zhou B, Yuan Y, Wang K, Niu W, Zhang Z. Interaction effects of significant risk factors on overweight or obesity among 7222 preschool-aged children from Beijing. Aging (Albany NY) 2020; 12:15462-15477. [PMID: 32741774 PMCID: PMC7467379 DOI: 10.18632/aging.103701] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 07/06/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES We aimed to identify potential risk factors, both individually and interactively, associated with overweight and obesity among preschool-aged children, and further to create a risk prediction nomogram model. RESULTS After graded multivariable adjustment, maternal body mass index (BMI) (odds ratio, 95% confidence interval, P under China criteria: 1.07, 1.05 to 1.10, <0.001), maternal pre-pregnancy BMI (1.08, 1.05 to 1.10, <0.001), breastfeeding duration (0.86, 0.76 to 0.98, 0.019), and sleep duration (0.95, 0.90 to 1.00, 0.042) were found to be independently and consistently associated with the significant risk of childhood overweight or obesity under three different growth criteria. Further analyses revealed the four significant factors acted in an additive manner, especially for the interaction between maternal obesity, sleep duration, and breastfeeding. Finally, a risk prediction nomogram model was created for childhood overweight or obesity based on significant and conventional attributes under each criterion. CONCLUSIONS Our findings provide evidence that the four significant factors are associated with the risk of childhood overweight or obesity in an additive manner. METHODS Using a stratified cluster random sampling strategy, 7222 preschool-aged children were analyzed. Childhood overweight and obesity are defined according to the China criteria and two widely-used international growth criteria.
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Affiliation(s)
- Bo Zhou
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China–Japan Friendship Hospital, Beijing, China
| | - Yuan Yuan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China–Japan Friendship Hospital, Beijing, China
| | - Kundi Wang
- Department of Pediatrics, China–Japan Friendship Hospital, Beijing, China
| | - Wenquan Niu
- Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, China
| | - Zhixin Zhang
- International Medical Services, China–Japan Friendship Hospital, Beijing, China
- Department of Pediatrics, China–Japan Friendship Hospital, Beijing, China
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Relationship of prenatal maternal obesity and diabetes to offspring neurodevelopmental and psychiatric disorders: a narrative review. Int J Obes (Lond) 2020; 44:1981-2000. [PMID: 32494038 PMCID: PMC7508672 DOI: 10.1038/s41366-020-0609-4] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 04/20/2020] [Accepted: 05/20/2020] [Indexed: 02/08/2023]
Abstract
Obesity and diabetes is a worldwide public health problem among women of reproductive age. This narrative review highlights recent epidemiological studies regarding associations of maternal obesity and diabetes with neurodevelopmental and psychiatric disorders in offspring, and provides an overview of plausible underlying mechanisms and challenges for future human studies. A comprehensive search strategy selected terms that corresponded to the domains of interest (maternal obesity, different types of diabetes, offspring cognitive functions and neuropsychiatric disorders). The databases searched for articles published between January 2010 and April 2019 were PubMed, Web of Science and CINAHL. Evidence from epidemiological studies strongly suggests that maternal pre-pregnancy obesity is associated with increased risks for autism spectrum disorder, attention-deficit hyperactivity disorder and cognitive dysfunction with modest effect sizes, and that maternal diabetes is associated with the risk of the former two disorders. The influence of maternal obesity on other psychiatric disorders is less well studied, but there are reports of associations with increased risks for offspring depression, anxiety, schizophrenia and eating disorders, at modest effect sizes. It remains unclear whether these associations are due to intrauterine mechanisms or explained by confounding family-based sociodemographic, lifestyle and genetic factors. The plausible underlying mechanisms have been explored primarily in animal models, and are yet to be further investigated in human studies.
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Wirth A. Schwangere müssen aufs Gewicht achten. MMW Fortschr Med 2020; 162:33. [PMID: 32124356 DOI: 10.1007/s15006-020-0207-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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40
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Hu Z, Tylavsky FA, Kocak M, Fowke JH, Han JC, Davis RL, LeWinn KZ, Bush NR, Sathyanarayana S, Karr CJ, Zhao Q. Effects of Maternal Dietary Patterns during Pregnancy on Early Childhood Growth Trajectories and Obesity Risk: The CANDLE Study. Nutrients 2020; 12:E465. [PMID: 32069778 PMCID: PMC7071328 DOI: 10.3390/nu12020465] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/07/2020] [Accepted: 02/10/2020] [Indexed: 01/01/2023] Open
Abstract
We investigated the associations between maternal dietary patterns during pregnancy and early childhood growth trajectories and overweight/obesity risk in offspring. Maternal diet was assessed using a food frequency questionnaire during the second trimester, and dietary patterns were derived by reduced rank regression. The associations between maternal dietary pattern scores and body mass index (BMI) trajectories from birth to age four (rising-high, moderate, and low BMI trajectories) as well as overweight/obesity risk at age four were analyzed (n = 1257). Two maternal dietary patterns were identified. The fast food pattern included a higher intake of fried chicken and fish, fruit juices, mayonnaise, and sugar-sweetened beverages, while the processed food pattern included a higher intake of dairy, salad dressing, processed meat, and cold breakfast cereal. Women with greater adherence to the fast food pattern were more likely to have children in the rising-high BMI trajectory group [OR (95% CI) = 1.32 (1.07-1.62); p = 0.008] or having overweight/obesity at age four [OR (95% CI) = 1.31 (1.11-1.54); p = 0.001]. The processed food pattern was not associated with these outcomes. The maternal dietary pattern during pregnancy represented by fried foods and sugar-sweetened beverages may contribute to rapid early childhood growth and increased risk for obesity in offspring.
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Affiliation(s)
- Zunsong Hu
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (Z.H.); (F.A.T.); (M.K.); (J.H.F.)
| | - Frances A. Tylavsky
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (Z.H.); (F.A.T.); (M.K.); (J.H.F.)
| | - Mehmet Kocak
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (Z.H.); (F.A.T.); (M.K.); (J.H.F.)
| | - Jay H. Fowke
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (Z.H.); (F.A.T.); (M.K.); (J.H.F.)
| | - Joan C. Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children’s Foundation Research Institute, Le Bonheur Children’s Hospital, Memphis, TN 38103, USA;
| | - Robert L. Davis
- Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38103, USA;
| | - Kaja Z. LeWinn
- Department of Psychiatry, University of California San Francisco, San Francisco, CA 94118, USA;
| | - Nicole R. Bush
- Departments of Pediatrics and Psychiatry, University of California San Francisco, San Francisco, CA 94118, USA;
| | - Sheela Sathyanarayana
- Seattle Children’s Research Institute, Center for Child Health, Behavior, and Development, Seattle, WA 98121, USA;
- Department of Pediatrics, University of Washington, Seattle, WA 98121, USA;
| | - Catherine J. Karr
- Department of Pediatrics, University of Washington, Seattle, WA 98121, USA;
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (Z.H.); (F.A.T.); (M.K.); (J.H.F.)
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Zhang L, Huang L, Zhao Z, Ding R, Liu H, Qu W, Jia X. Associations Between Delivery Mode and Early Childhood Body Mass Index Z-Score Trajectories: A Retrospective Analysis of 2,685 Children From Mothers Aged 18 to 35 Years at Delivery. Front Pediatr 2020; 8:598016. [PMID: 33392117 PMCID: PMC7774081 DOI: 10.3389/fped.2020.598016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 11/16/2020] [Indexed: 12/14/2022] Open
Abstract
Objective: To investigate the association between cesarean delivery (CD) and trajectory patterns of age- and sex-specific body mass index (BMI) z-score in early childhood. Methods: A retrospective cohort study was conducted among 2,685 children whose maternal age at the time of birth was between 18 and 35 years, and birth data and anthropometric measurement data during their ages 3-60 months were collected. A group-based trajectory modeling approach was used to identify distinct BMI z-score trajectories, and multinomial logistic regressions were applied to estimate the associations among CD (both elective and non-elective combined), elective and non-selective CD, and BMI z-score trajectory classes. Results: Of the 2,685 participants, 46.5% (N = 1,248) were born by vaginal delivery (VD), 20.7% (N = 556) by elective CD, and 32.8% (N = 881) by non-elective CD. Five BMI z-score trajectory patterns were identified, and they were "increasing from moderate to high" (10.1%, n = 270), "increasing from mild to moderate" (34.2%, n = 919), "increasing from low to high" (10.5%, n = 283), "stable mild" (30.1%, n = 808), and "stable low" (15.1%, n = 405) groups. Compared with children delivered by VD, those who delivered by CD (both elective and non-elective combined), elective CD, and non-elective CD were associated with the "increasing from moderate to high" trajectory [odds ratio (OR) = 1.61, 95% confidence interval (CI): 1.13-2.29; OR = 1.64, 95%CI: 1.06-2.54; and OR = 1.59, 95%CI: 1.05-2.39, respectively] and were also associated with the "increasing from low to high" trajectory (OR = 1.60, 95%CI: 1.17-2.19, OR = 1.75, 95%CI: 1.16-2.63; and OR = 1.53, 95%CI: 1.00-2.34, respectively). Conclusion: Both elective and non-elective CD were associated with the risk of accelerated weight gain in early childhood.
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Affiliation(s)
- Lihong Zhang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Shandong Maternal and Child Health Development Research Center, Maternal and Child Health Care Hospital, Shandong University, Jinan, China
| | - Liuxia Huang
- Department of Pediatrics, The Huangdao Maternal and Child Health Care Hospital, Qingdao, China
| | - Zhiyuan Zhao
- Department of Pharmacy, The Binhai Central Health Center of Huangdao, Qingdao, China
| | - Renjuan Ding
- Department of Pharmacy, The Huangdao Maternal and Child Health Care Hospital, Qingdao, China
| | - Hongnian Liu
- Department of Orthopedic, The Binhai Central Health Center of Huangdao, Qingdao, China
| | - Wenchao Qu
- Department of Pediatrics, The Huangdao Maternal and Child Health Care Hospital, Qingdao, China
| | - Xiao Jia
- Department of Traditional Chinese Medicine, The Huangdao Maternal and Child Health Care Hospital, Qingdao, China
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Cerdó T, Diéguez E, Campoy C. Early nutrition and gut microbiome: interrelationship between bacterial metabolism, immune system, brain structure, and neurodevelopment. Am J Physiol Endocrinol Metab 2019; 317:E617-E630. [PMID: 31361544 DOI: 10.1152/ajpendo.00188.2019] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Disturbances of diet during pregnancy and early postnatal life may impact colonization of gut microbiota during early life, which could influence infant health, leading to potential long-lasting consequences later in life. This is a nonsystematic review that explores the recent scientific literature to provide a general perspective of this broad topic. Several studies have shown that gut microbiota composition is related to changes in metabolism, energy balance, and immune system disturbances through interaction between microbiota metabolites and host receptors by the gut-brain axis. Moreover, recent clinical studies suggest that an intestinal dysbiosis in gut microbiota may result in cognitive disorders and behavioral problems. Furthermore, recent research in the field of brain imaging focused on the study of the relationship between gut microbial ecology and large-scale brain networks, which will help to decipher the influence of the microbiome on brain function and potentially will serve to identify multiple mediators of the gut-brain axis. Thus, knowledge about optimal nutrition by modulating gut microbiota-brain axis activity will allow a better understanding of the molecular mechanisms involved in the crosstalk between gut microbiota and the developing brain during critical windows. In addition, this knowledge will open new avenues for developing novel microbiota-modulating based diet interventions during pregnancy and early life to prevent metabolic disorders, as well as neurodevelopmental deficits and brain functional disorders.
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Affiliation(s)
- Tomás Cerdó
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
- BioHealth Research Institute (Ibs-Granada), Health Sciences Technological Park, Granada, Spain
- Neurosciences Institute, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Estefanía Diéguez
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Cristina Campoy
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
- BioHealth Research Institute (Ibs-Granada), Health Sciences Technological Park, Granada, Spain
- Neurosciences Institute, Biomedical Research Centre, University of Granada, Granada, Spain
- Spanish Network of Biomedical Research in Epidemiology and Public Health (CIBERESP), Granada's node, Carlos III Health Institute of Health Carlos III, Madrid, Spain
- Brain, Behavior and Health Excellence Research Unit (SC2). University of Granada, Granada, Spain
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