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Svensson K, Gennings C, Hagenäs L, Wolk A, Håkansson N, Wikström S, Bornehag CG. Maternal nutrition during mid-pregnancy and children's body composition at 7 years of age in the SELMA study. Br J Nutr 2023; 130:1982-1992. [PMID: 37232113 PMCID: PMC10632724 DOI: 10.1017/s0007114523000983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/24/2023] [Accepted: 04/12/2023] [Indexed: 05/27/2023]
Abstract
Optimal nutrition during pregnancy is vital for both maternal and child health. Our objective was to explore if prenatal diet is associated with children's height and body fat. Nutrient intake was assessed through a FFQ from 808 pregnant women and summarised to a nutrition index, 'My Nutrition Index' (MNI). The association with children's height and body fat (bioimpedance) was assessed with linear regression models. Secondary analysis was performed with BMI, trunk fat and skinfolds. Overall, higher MNI score was associated with greater height (β = 0·47; (95 % CI 0·00, 0·94), among both sexes. Among boys, higher MNI was associated with 0·15 higher BMI z-scores, 0·12 body fat z-scores, 0·11 trunk fat z-scores, and larger triceps, and triceps + subscapular skinfolds (β = 0·05 and β = 0·06; on the log2 scale) (P-value < 0·05). Among girls, the opposite associations were found with 0·12 lower trunk fat z-scores, and smaller subscapular and suprailiac skinfolds (β = -0·07 and β = -0·10; on the log2 scale) (P-value < 0·05). For skinfold measures, this would represent a ± 1·0 millimetres difference. Unexpectedly, a prenatal diet in line with recommended nutrient intake was associated with higher measures of body fat for boys and opposite to girls at a pre-pubertal stage of development.
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Affiliation(s)
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lars Hagenäs
- Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sverre Wikström
- Department of Health Sciences, Karlstad University, Karlstad, Sweden
- Centre for Clinical Research and Education, County Council of Värmland, Värmland County, Sweden
| | - Carl-Gustaf Bornehag
- Department of Health Sciences, Karlstad University, Karlstad, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, USA
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Delahunt A, Conway MC, Callaghan SL, Brien EC, Geraghty AA, Reilly SL, McDonnell CM, Mehegan J, McAuliffe FM. Maternal dietary quality during pregnancy and child appetitive traits at 5-years-old: Findings from the ROLO longitudinal birth cohort study. Appetite 2022; 179:106291. [DOI: 10.1016/j.appet.2022.106291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/16/2022] [Accepted: 08/26/2022] [Indexed: 11/02/2022]
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Gete DG, Waller M, Mishra GD. Pre-Pregnancy Diet Quality Is Associated with Lowering the Risk of Offspring Obesity and Underweight: Finding from a Prospective Cohort Study. Nutrients 2021; 13:1044. [PMID: 33804865 DOI: 10.3390/nu13041044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/11/2021] [Accepted: 03/20/2021] [Indexed: 12/16/2022] Open
Abstract
Maternal diet plays a critical role in epigenetic changes and the establishment of the gut microbiome in the fetus, which has been associated with weight outcomes in offspring. This study examined the association between maternal diet quality before pregnancy and childhood body mass index (BMI) in offspring. There were 1936 mothers with 3391 children included from the Australian Longitudinal Study on Women’s Health (ALSWH) and the Mothers and their Children’s Health (MatCH) study. Maternal dietary intakes were assessed using a semi-quantitative and validated 101-item food-frequency questionnaire (FFQ). The healthy eating index (HEI-2015) score was used to explore preconception diet quality. Childhood BMI was categorized as underweight, normal, overweight, and obese based on sex and age-specific BMI classifications for children. Multinomial logistic regression with cluster-robust standard errors was used for analyses. Greater adherence to maternal diet quality before pregnancy was associated with a lower risk of offspring being underweight after adjustment for potential confounders, highest vs. lowest quartile (relative risk ratio (RRR) = 0.68, 95% confidence interval (CI): 0.49, 0.96). Higher adherence to preconception diet quality was also inversely linked with the risk of childhood obesity (RRR = 0.49, 95% CI: 0.24, 0.98). This association was, however, no longer significant after adjusting for pre-pregnancy BMI. Sodium intake was significantly associated with decreased risk of childhood overweight and obesity (RRR = 0.18, 95% CI: 0.14, 0.23) and (RRR = 0.21, 95% CI: 0.17, 0.26), respectively. No significant association was detected between preconception diet quality and offspring being overweight. This study suggests that better adherence to maternal diet quality before pregnancy is associated with a reduced risk of childhood underweight and obesity.
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Boutté AK, Turner-McGrievy GM, Eberth JM, Wilcox S, Liu J, Kaczynski AT. Healthy Food Density is Not Associated With Diet Quality Among Pregnant Women With Overweight/Obesity in South Carolina. J Nutr Educ Behav 2021; 53:120-129. [PMID: 33573765 PMCID: PMC7888703 DOI: 10.1016/j.jneb.2020.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/17/2020] [Accepted: 11/22/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Examine the association and moderating effect of residential location (urban/rural) on the relationship between neighborhood healthy food density and diet quality. DESIGN Cross-sectional analysis of baseline data from the Health in Pregnancy and Postpartum study, a randomized trial designed to prevent excessive gestational weight gain. PARTICIPANTS Pregnant women in South Carolina with prepregnancy overweight/obesity (n = 228). MAIN OUTCOME MEASURES Healthy Eating Index-2015 (HEI) was used to measure diet quality from 2 24-hour dietary recalls. The HEI total scores and 11 binary HEI components (those that met the standard for maximum component score vs those that did not) were calculated as dependent variables. ANALYSIS Multiple linear and logistic regression models were used to examine the association between healthy food density and HEI total scores and meeting the standards for maximum component scores. Healthy food density × residential location tested for moderation. P < 0.05 indicated significance. RESULTS Participants' diet quality was suboptimal (mean, 52.0; SD, 11.7; range, 27-85). Healthy food density was not significantly related to HEI total scores or components, and residential location was not a moderator. CONCLUSIONS AND IMPLICATIONS Diet quality was suboptimal, and there was no relationship between healthy food density and diet quality among Health in Pregnancy and Postpartum study participants. These data support examining behavioral factors that could influence diet quality.
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Affiliation(s)
- Alycia K Boutté
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC; Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC.
| | - Gabrielle M Turner-McGrievy
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Jan M Eberth
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC; South Carolina Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Sara Wilcox
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC; Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Andrew T Kaczynski
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC; Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC
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Xavier S, Gili J, McGowan P, Younesi S, Wright PFA, Walker DW, Spencer SJ, Sominsky L. High Maternal Omega-3 Supplementation Dysregulates Body Weight and Leptin in Newborn Male and Female Rats: Implications for Hypothalamic Developmental Programming. Nutrients 2020; 13:E89. [PMID: 33396616 DOI: 10.3390/nu13010089] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 12/22/2020] [Accepted: 12/25/2020] [Indexed: 12/20/2022] Open
Abstract
Maternal diet is critical for offspring development and long-term health. Here we investigated the effects of a poor maternal diet pre-conception and during pregnancy on metabolic outcomes and the developing hypothalamus in male and female offspring at birth. We hypothesised that offspring born to dams fed a diet high in fat and sugar (HFSD) peri-pregnancy will have disrupted metabolic outcomes. We also determined if these HFSD-related effects could be reversed by a shift to a healthier diet post-conception, in particular to a diet high in omega-3 polyunsaturated fatty acids (ω3 PUFAs), since ω3 PUFAs are considered essential for normal neurodevelopment. Unexpectedly, our data show that there are minimal negative effects of maternal HFSD on newborn pups. On the other hand, consumption of an ω3-replete diet during pregnancy altered several developmental parameters. As such, pups born to high-ω3-fed dams weighed less for their length, had reduced circulating leptin, and also displayed sex-specific disruption in the expression of hypothalamic neuropeptides. Collectively, our study shows that maternal intake of a diet rich in ω3 PUFAs during pregnancy may be detrimental for some metabolic developmental outcomes in the offspring. These data indicate the importance of a balanced dietary intake in pregnancy and highlight the need for further research into the impact of maternal ω3 intake on offspring development and long-term health.
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Litvak J, Parekh N, Deierlein A. Prenatal dietary exposures and offspring body size from 6 months to 18 years: A systematic review. Paediatr Perinat Epidemiol 2020; 34:171-189. [PMID: 32011754 DOI: 10.1111/ppe.12629] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 10/28/2019] [Accepted: 11/03/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND In utero dietary exposures may influence childhood obesity. OBJECTIVES To evaluate the relationship between prenatal dietary exposures and offspring body size from 6 months to 18 years. DATA SOURCES Articles were identified in PubMed and Web of Science (January 2010-March 2018) using the PRISMA guidelines. Additional studies were identified through a reference review of articles that met the inclusion criteria and related reviews. STUDY SELECTION Prospective cohort studies that assessed dietary patterns, foods, macronutrients, or beverages during healthy pregnancy and offspring body size. The extraction of articles was done using predefined data fields. SYNTHESIS One author extracted all information and evaluated bias with the NHLBI's Quality Assessment Tool. RESULTS A total of 851 research articles were evaluated. Twenty-one studies assessing dietary patterns, macronutrients, foods, and beverages met inclusion criteria. Consumption of a Mediterranean dietary pattern during pregnancy was associated with reduced body size, while refined carbohydrates were associated with offspring obesity. No association was observed between data-driven dietary patterns and offspring body size, as well as a pro-inflammatory diet pattern and offspring body size. Mixed and null findings were observed for the relationship between total carbohydrates, n-3 polyunsaturated fatty acids, protein, sugar-sweetened beverages, and artificially sweetened beverages and offspring body size. CONCLUSIONS Adhering to a Mediterranean diet and limiting refined carbohydrates during pregnancy may influence offspring body size between 6 months and 18 years. The diverging results that exist between studies highlight the complexity of this topic.
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Affiliation(s)
- Jacqueline Litvak
- Department of Epidemiology, College of Global Public Health, New York University, New York, NY, USA
| | - Niyati Parekh
- Department of Epidemiology, College of Global Public Health, New York University, New York, NY, USA.,Department of Population Health Sciences, School of Medicine, New York University, New York, NY, USA
| | - Andrea Deierlein
- Department of Epidemiology, College of Global Public Health, New York University, New York, NY, USA.,Department of Population Health Sciences, School of Medicine, New York University, New York, NY, USA
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Flynn AC, Thompson JMD, Dalrymple KV, Wall C, Begum S, Johny JP, Cutfield WS, North R, McCowan LME, Godfrey KM, Mitchell EA, Poston L. Childhood dietary patterns and body composition at age 6 years: the Children of SCOPE study. Br J Nutr 2020; 124:1-21. [PMID: 32098635 PMCID: PMC7116586 DOI: 10.1017/s0007114520000628] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Dietary patterns describe the quantity, variety, or combination of different foods and beverages in a diet and the frequency of habitual consumption. Better understanding of childhood dietary patterns and antenatal influences could inform intervention strategies to prevent childhood obesity. We derived empirical dietary patterns in 1142 children (average age 6.0 (0.2) years) in Auckland, New Zealand whose mothers had participated in the Screening for Pregnancy Endpoints (SCOPE) cohort study and explored associations with measures of body composition. Participants (Children of SCOPE) had their diet assessed by food frequency questionnaire (FFQ) and empirical dietary patterns were extracted using factor analysis. Three distinct dietary patterns were identified; 'Healthy', 'Traditional' and 'Junk'. Associations between dietary patterns and measures of childhood body composition (waist, hip, arm circumferences, body mass index (BMI), bioelectrical impedance analysis (BIA) derived body fat percentage, and sum of skinfold thicknesses (SST)) were assessed by linear regression, with adjustment for maternal influences. Children who had higher 'Junk' dietary pattern scores had 0.24cm greater arm (0.08 SD (95%CI 0.04, 0.13)) and 0.44cm hip (0.05 SD (95% CI 0.01, 0.10)) circumferences, 1.13cm greater SST (0.07 SD (95%CI 0.03, 0.12)) and were more likely to be obese (OR=1.74 (95%CI 1.07, 2.82)); those with higher 'Healthy' pattern scores were less likely to be obese (OR=0.62 (95%CI 0.39, 1.00)). In a large mother-child cohort, a dietary pattern characterised by high sugar and fat foods was associated with greater adiposity and obesity risk in children aged 6 years, while a 'Healthy' dietary pattern offered some protection against obesity. Targeting unhealthy dietary patterns could inform public health strategies to reduce the prevalence of childhood obesity.
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Affiliation(s)
- Angela C Flynn
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, UK
| | - John M D Thompson
- Department of Paediatrics, Child & Youth Health, Faculty of Medical and health Sciences, University of Auckland, New Zealand
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, University of Auckland, New Zealand
| | - Kathryn V Dalrymple
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, UK
| | - Clare Wall
- Department of Nutrition, School of Medical Sciences, University of Auckland, New Zealand
| | - Shahina Begum
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, UK
| | - Jaijus Pallippadan Johny
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, University of Auckland, New Zealand
| | | | - Robyn North
- Department of General Medicine, Auckland City Hospital, Auckland New Zealand
| | - Lesley M E McCowan
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, University of Auckland, New Zealand
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - Edwin A Mitchell
- Department of Paediatrics, Child & Youth Health, Faculty of Medical and health Sciences, University of Auckland, New Zealand
| | - Lucilla Poston
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, UK
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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: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Mejia-Lancheros C, Mehegan J, Murrin CM, Kelleher CC; Lifeways Cross-Generation Cohort Study Group. Smoking habit from the paternal line and grand-child's overweight or obesity status in early childhood: prospective findings from the lifeways cross-generation cohort study. Int J Obes (Lond) 2018; 42:1853-70. [PMID: 29535453 DOI: 10.1038/s41366-018-0039-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND/OBJECTIVES The role of smoking from the paternal line during the pre-conception period on grand-child's overweight/obesity and associated underlying pathways are uncertain. We examined whether the smoking status from the paternal line was associated with the grand-child's higher weight at birth, and overweight or obesity at 5 and 9 years of age. The grandparental smoking effect from the maternal line was also explored. SUBJECTS/METHODS Participants were fathers and grandparents and grand-children from the Lifeways Cross Generational Cohort (N = 1021 for the analysis at birth; N = 562 and N = 284 for the analysis at 5 and 9 years, respectively). Paternal and grandparental smoking was defined as smoking versus non-smoking. Children's weight categories compared were high versus normal weight at birth, and overweight/obesity versus normal weight (based on BMI and waist circumference) at age of five and nine years. Logistic regression models were used to estimate the crude and adjusted associations. RESULTS After adjustment for several child and parental factors, at age five there was an association between paternal smoking and offspring's overweight/obesity based on BMI (Adjusted Odds Ratio (AOR), and 95%CI: 1.76, 1.14-2.71, p-value: 0.010), most marked for boys (AOR: 2.05, 1.06-3.96, p-value: 0.032). These associations remained when confined to the children sample with biological fathers only (overall sample, AOR: 1.92, 1.22-3.02, p-value: 0.005; son, AOR: 2.09, 1.06-4.11, p-value: 0.033). At age 9, the paternal grandmothers' smoking was positively associated with their grandchild's overweight/obesity status based on waist circumference (AOR: 3.29, 1.29-8.37), and especially with that of her granddaughter (AOR: 3.44, 1.11-10.69). These associations remained when analysing only the children sample with biological fathers (overall sample, AOR: 3.22,1.25-8.29, p-value: 0.016; granddaughter, AOR: 3.55, 1.13-11.15, p-value: 0.030). CONCLUSION The smoking habit from the paternal line is associated with grand-children's adiposity measures during their early childhood, which might be epigenetically transmitted through male-germline cells.
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Chen LW, Aris IM, Bernard JY, Tint MT, Chia A, Colega M, Gluckman PD, Shek LPC, Saw SM, Chong YS, Yap F, Godfrey KM, van Dam RM, Chong MFF, Lee YS. Associations of Maternal Dietary Patterns during Pregnancy with Offspring Adiposity from Birth Until 54 Months of Age. Nutrients 2016; 9:nu9010002. [PMID: 28025503 PMCID: PMC5295046 DOI: 10.3390/nu9010002] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 12/13/2016] [Accepted: 12/16/2016] [Indexed: 02/07/2023] Open
Abstract
Most studies linking maternal diet with offspring adiposity have focused on single nutrients or foods, but a dietary pattern approach is more representative of the overall diet. We thus aimed to investigate the relations between maternal dietary patterns and offspring adiposity in a multi-ethnic Asian mother–offspring cohort in Singapore. We derived maternal dietary patterns using maternal dietary intake information at 26–28 weeks of gestation, of which associations with offspring body mass index (BMI), abdominal circumference (AC), subscapular skinfold (SS), and triceps skinfold (TS) were assessed using longitudinal data analysis (linear mixed effects (LME)) and multiple linear regression at ages 0, 3, 6, 9, 12, 15, 18, 24, 36, 48, and 54 months. Three dietary patterns were derived: (1) vegetables-fruit-and-white rice (VFR); (2) seafood-and-noodles (SfN); and (3) pasta-cheese-and-bread (PCB). In the LME model adjusting for potential confounders, each standard deviation (SD) increase in maternal VFR pattern score was associated with 0.09 mm lower offspring TS. Individual time-point analysis additionally revealed that higher VFR score was generally associated with lower postnatal offspring BMI z-score, TS, SS, and sum of skinfolds (SS + TS) at ages 18 months and older. Maternal adherence to a dietary pattern characterized by higher intakes of fruit and vegetables and lower intakes of fast food was associated with lower offspring adiposity.
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Affiliation(s)
- Ling-Wei Chen
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
| | - Mya-Thway Tint
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
| | - Airu Chia
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
| | - Marjorelee Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand.
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore.
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
| | - Fabian Yap
- Department of Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore 229899, Singapore.
- Duke-NUS Graduate Medical School, Lee Kong Chian School of Medicine, Singapore 169857, Singapore.
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore.
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA.
| | - Mary Foong-Fong Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore.
- Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore 117599, Singapore.
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore.
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore 119228, Singapore.
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Nugent AP. Hot topics in nutrition research in Ireland. NUTR BULL 2016. [DOI: 10.1111/nbu.12203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- A. P. Nugent
- UCD School of Agriculture and Food Science and Institute of Food and Health; University College Dublin; Dublin Ireland
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