1
|
Ortiz-Valladares M, Pedraza-Medina R, Rosales-Herrera S, Guzmán-Muñiz J. Maternal aerobic exercise decreases the effects of a perinatal Western diet on the short and long-term memory of CD1 mouse progeny. Neurosci Lett 2024; 824:137669. [PMID: 38360145 DOI: 10.1016/j.neulet.2024.137669] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 02/17/2024]
Abstract
Maternal nutrition and physical activity during pregnancy and lactation can modify offspring development. Here, we investigated the effects of maternal aerobic exercise (AE) and Western diet (WD) on brain development, cognitive flexibility, and memory of progenies. Sixteen adult female mice were assigned to AE or sedentary groups (SED) and fed a balanced diet (BD) or WD. Offspring were categorized into four groups: WD + AE, WD + SED, BD + AE, and BD + SED. The AE group showed enhanced spontaneous alternation in the T-maze test, suggesting an improvement in working memory and tasks related to cognitive flexibility. The novel object recognition (NOR) test showed that the BD + AE pups improved their absolute discrimination and discrimination index at 24 h, which suggests a delay in memory consolidation without affecting evocation. WD + SED showed poorer discrimination and recognition memory. The pups of AE mothers had better efficiency in short-term memory, whereas WD offspring showed low performance in long-term memory. Interestingly, exercise improved tasks related to cognitive flexibility, regardless of the diet. These findings indicate that maternal diet and physical activity modify offspring development and suggest that maternal AE during pregnancy could be a beneficial intervention to counteract the adverse effects of WD by improving spatial memory and cognitive flexibility in offspring.
Collapse
Affiliation(s)
| | - Ricardo Pedraza-Medina
- Laboratory of Neuroscience, School of Psychology, University of Colima, Colima 28040, Mexico
| | - Salma Rosales-Herrera
- Laboratory of Neuroscience, School of Psychology, University of Colima, Colima 28040, Mexico
| | - Jorge Guzmán-Muñiz
- Laboratory of Neuroscience, School of Psychology, University of Colima, Colima 28040, Mexico
| |
Collapse
|
2
|
Conrey SC, Burrell AR, Staat MA, Washington DM, Taft DH, Nommsen-Rivers L, Morrow AL. Obesity and Prenatal Intention as Predictors of Meeting Breastfeeding Recommendations in an Urban Birth Cohort. Breastfeed Med 2024; 19:98-108. [PMID: 38271575 DOI: 10.1089/bfm.2023.0207] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Background and Objectives: Few U.S. women meet the public health recommendations to exclusively breastfeed for 6 months and continue breastfeeding for at least 1-2 years. We compared prenatally collected demographic, health, and breastfeeding support/intention variables to examine how these factors intersect to predict meeting breastfeeding recommendations. Methods: PREVAIL, a CDC-funded birth cohort in Cincinnati, OH, was approved by the IRB at CDC, Cincinnati Children's Hospital, and the hospitals where enrollment (third trimester, 2017-2018) occurred. The prenatal questionnaire captured sociodemographics, pre-pregnancy weight and height, breastfeeding environment, and breastfeeding intention, while health factors were obtained from obstetrical records. Body mass index (BMI) (kg/m2) was categorized as healthy (18.5-24.9), overweight (25-29.9), obesity 1 (30-34.9), and obesity 2+ (≥35). Mothers self-reported date of exclusive and any breastfeeding cessation through quarterly postnatal questionnaires. Random forest was used for variable selection, cross-validated in multivariable logistic models. Results: Analysis included n = 237 mothers with BMI ≥18.5. Random forest identified BMI category, prenatal intention, and insurance type as the most important predictors of meeting breastfeeding recommendations. The resulting logistic models explained >40% of the variance with an area under the curve of ≥0.89 for both recommendations. More than 73% of the risk of not meeting breastfeeding recommendations was attributable to having an elevated BMI or lacking strong breastfeeding intention. Conclusions: In PREVAIL, maternal BMI and prenatal intention explained most risks of not meeting breastfeeding exclusivity and duration recommendations. Our findings suggest efforts to improve breastfeeding exclusivity and duration should focus on strengthening prenatal breastfeeding intention and identifying effective interventions for supporting breastfeeding among mothers with higher BMI.
Collapse
Affiliation(s)
- Shannon C Conrey
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Allison R Burrell
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Infectious Disease, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Mary A Staat
- Division of Infectious Disease, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Dorcas M Washington
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Diana H Taft
- Department of Nutrition, University of Florida, Gainesville, Florida, USA
| | - Laurie Nommsen-Rivers
- Department of Rehabilitation, Exercise and Nutrition Sciences, University of Cincinnati College of Allied Health Sciences, Cincinnati, Ohio, USA
| | - Ardythe L Morrow
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| |
Collapse
|
3
|
Cohen CC, Harrall KK, Hu H, Glueck DH, Perng W, Shankar K, Dabelea D. Associations of infant feeding practices with abdominal and hepatic fat measures in childhood in the longitudinal Healthy Start Study. Am J Clin Nutr 2024; 119:560-568. [PMID: 38000661 PMCID: PMC10884608 DOI: 10.1016/j.ajcnut.2023.11.011] [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: 09/01/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Infant feeding patterns have been linked with obesity risk in childhood, but associations with precise measures of body fat distribution are unclear. OBJECTIVE We examined associations of infant feeding practices with abdominal fat and hepatic fat trajectories in childhood. METHODS This study included 356 children in the Healthy Start Study, a prospective prebirth cohort in Colorado. Infant feeding practices were assessed by postnatal interviews and categorized as any human milk <6 mo compared with ≥6 mo; complementary foods introduced ≤4 mo compared with >4 mo; soda introduced ≤18 mo compared with >18 mo. Abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) areas and hepatic fat (%) were assessed by magnetic resonance imaging in early and middle childhood (median 5 and 9 y old, respectively). We examined associations of infant feeding with adiposity trajectories across childhood using linear mixed models. RESULTS In the sample of children, 67% consumed human milk ≥6 mo, 75% were introduced to complementary foods at >4 mo, and 81% were introduced to soda at >18 mo. We did not find any associations between duration of any human milk consumption and childhood adiposity trajectories. Early introduction to complementary foods (≤4 mo) was associated with faster rates of change for SAT and VAT during childhood (Slope [95% CI]: 15.1 [10.7,19.4] cm2/y for SAT; 2.5 [1.9,2.9] cm2/y for VAT), compared with introduction at >4 mo (5.5 [3.0,8.0] cm2/y and 1.6 [1.3,1.9] cm2/y, respectively). Similarly, early introduction to soda (≤18 mo) was associated with faster rates of change for all 3 outcomes during childhood (Slope [95% CI]: 20.6 [15.0,26.1] cm2/y for SAT, 2.7 [2.0,3.3] cm2/y for VAT, 0.3 [0.1,0.5] %/year for hepatic fat) compared with delayed introduction (5.4 [2.8,8.0] cm2/y, 1.7 [1.3, 2.0] cm2/y, -0.1 [-0.2,0.0] %/y, respectively). CONCLUSIONS The timing of introduction and quality of complementary foods in infancy was associated with rates of abdominal and hepatic fat accrual during childhood. Experimental studies are needed to assess underlying mechanisms.
Collapse
Affiliation(s)
- Catherine C Cohen
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Houchun Hu
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kartik Shankar
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| |
Collapse
|
4
|
Lipsky L, Cummings J, Siega-Riz AM, Nansel T. Relationships of pregnancy and postpartum diet quality with offspring birth weight and weight status through 12 months. Obesity (Silver Spring) 2023; 31:3008-3015. [PMID: 37731285 PMCID: PMC10872787 DOI: 10.1002/oby.23891] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE This study examined relationships of maternal pregnancy and postpartum diet quality with infant birth size and weight status indicators through 12 months and tested whether breastfeeding duration modifies these associations. METHODS In the Pregnancy Eating Attributes Study (PEAS), dietary intake was assessed six times in 458 mothers who were followed from early pregnancy through 12 months postpartum (2014-2018). Logistic and linear mixed models estimated relationships of pregnancy and postpartum diet quality (Healthy Eating Index [HEI]) with offspring who were large-for-gestational-age (LGA) at birth, as well as BMI z score (BMIz) and weight-for-length z score (WFLz) at birth, 6 weeks, 6 months, and 12 months. RESULTS Pregnancy HEI was inversely related to LGA (odds ratio [OR] = 0.95, 95% CI: 0.92 to 0.98); HEI was also inversely related to WFLz (β = -0.01, 95% CI: -0.02 to -0.002) and BMIz (β = -0.009, 95% CI: -0.02 to -0.0009) from birth through 12 months. Postpartum HEI was inversely related to WFLz (β = -0.01, 95% CI: -0.02 to -0.0009) and BMIz (β = -0.008, 95% CI: -0.02 to 0.0007) in infants who were breastfed for at least 6 months, but not in those who were breastfed for a shorter duration. CONCLUSIONS Maternal diet quality during pregnancy (and during postpartum in mothers who breastfed for a longer duration) was inversely related to LGA and weight status indicators from birth through 12 months. Increasing maternal diet quality may have use for promoting healthy infant weight development.
Collapse
Affiliation(s)
- Leah Lipsky
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda MD
| | - Jenna Cummings
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda MD
- Current: Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Anna Maria Siega-Riz
- Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC; current: Departments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Tonja Nansel
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda MD
| |
Collapse
|
5
|
Buck KE, Dhaliwal SK, Dabelea D, Perng W. Association of maternal psychosocial stress with newborn body composition in the Healthy Start study. J Dev Orig Health Dis 2023; 14:576-583. [PMID: 37694587 DOI: 10.1017/s2040174423000223] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Maternal psychosocial stress is associated with delivery of both small- and large-for-gestational-age newborns. Prior studies have relied on methods that do not capture fat mass (FM) vs. fat-free mass (FFM). We aimed to assess the relationship of maternal psychosocial stress, using the Edinburgh Postnatal Depression Scale (EPDS) and Cohen's Perceived Stress Scale (PSS), with newborn body composition. The sample included 604 mother/newborn pairs in the Healthy Start study. We used linear regression to examine associations of EPDS (>6.5 vs. ≤6.5) and PSS (>21 vs. ≤21) with newborn adiposity (FM and %FM measured by air displacement plethysmography [ADP], BMI-for-age, weight-for-length, and weight-for-age z-scores) and lean mass (FFM and length-for-age z-score). Average age of the women was 29.2 ± 6 y. Fifty-five percent of the women were white, 26.2% Hispanic, and 12.1% Black. Twenty-four percent of women had EPDS >6.5 and 18.1% had PSS >21. Mean ± SD birthweight was 3136 ± 437 g. After adjustment for confounders, EPDS >6.5 vs. ≤6.5 corresponded with 35.3 (95% CI: 6.6, 64.0) g lower offspring FM and 0.18 (-0.03, 0.39) units shorter length z-score. PSS was not associated with any neonatal outcomes. Maternal psychosocial stress is associated with delivery of shorter newborns with less FM.
Collapse
Affiliation(s)
- Kaitlin E Buck
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Endocrinology, Metabolism, and Diabetes, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Infectious Disease Clinic, Public Health Institute at Denver Health, Denver Health and Hospital Authority, Denver, CO, USA
| | - Satvinder K Dhaliwal
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
6
|
Sauder KA, Gamalski K, DeRoeck J, Vasquez FP, Dabelea D, Glueck DH, Catenacci VA, Fabbri S, Ritchie ND. A pre-conception clinical trial to reduce intergenerational obesity and diabetes risks: The NDPP-NextGen trial protocol. Contemp Clin Trials 2023; 133:107305. [PMID: 37516162 PMCID: PMC11044980 DOI: 10.1016/j.cct.2023.107305] [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: 04/14/2023] [Revised: 06/28/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Intrauterine exposure to maternal overweight/obesity or diabetes transmits risks to offspring, perpetuating a disease cycle across generations. Prenatal interventions to reduce maternal weight or dysglycemia have limited impact, while postpartum interventions can alter the intrauterine environment only if child-bearing continues. Efficacious preconception interventions are needed, especially for underserved populations, and with the potential to be scaled up sustainably. Research is also needed to assess intervention effects at conception, throughout pregnancy, and among offspring. METHODS This two-arm, parallel randomized clinical trial will include 360 biological females with overweight/obesity and moderate-to-high likelihood of pregnancy within 24 months. Participants will be randomized 1:1 to a yearlong pre-conception lifestyle intervention based on the National Diabetes Prevention Program (NDPP-NextGen) or usual care. Data collection will occur at enrollment (before conception), post-conception (<8 weeks gestation), late pregnancy (28-32 weeks gestation), and delivery (before discharge) for participants who become pregnant within 24 months of enrollment. Main outcomes are post-conception body mass index (<8 weeks gestation; primary outcome), post-conception fasting glucose (<8 weeks gestation; secondary outcome), and neonatal adiposity (<2 days post-birth). Additional clinical, behavioral, perinatal and offspring data will be collected, and biospecimens (blood, urine, stool, cord blood) will be banked for future ancillary studies. CONCLUSION This clinical trial will evaluate an intervention model (NDPP-NextGen) with potential to improve maternal health among the >50% of US females with overweight/obesity or diabetes risks in pregnancy. If successful, it can be scaled among >1800 organizations delivering NDPP in the United States to benefit the health of future generations.
Collapse
Affiliation(s)
- Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, 1890 N Revere Court F426, Aurora, CO 80045, USA; Department of Pediatrics, University of Colorado School of Medicine, 12348 E Montview Blvd C263, Aurora, CO 80045, USA; Department of Epidemiology, Colorado School of Public Health, 13001 E 17th Pl B119, Aurora, CO 80045, USA.
| | - Katharine Gamalski
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, 1890 N Revere Court F426, Aurora, CO 80045, USA.
| | - Jayna DeRoeck
- Office of Research, Denver Health and Hospital Authority, 777 Bannock Street, Denver, CO 80204, USA.
| | - Fatima Pacheco Vasquez
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, 1890 N Revere Court F426, Aurora, CO 80045, USA.
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, 1890 N Revere Court F426, Aurora, CO 80045, USA; Department of Pediatrics, University of Colorado School of Medicine, 12348 E Montview Blvd C263, Aurora, CO 80045, USA; Department of Epidemiology, Colorado School of Public Health, 13001 E 17th Pl B119, Aurora, CO 80045, USA.
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, 1890 N Revere Court F426, Aurora, CO 80045, USA; Department of Pediatrics, University of Colorado School of Medicine, 12348 E Montview Blvd C263, Aurora, CO 80045, USA.
| | - Victoria A Catenacci
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12348 E Montview Blvd C263, Aurora, CO 80045, USA.
| | - Stefka Fabbri
- Department of Obstetrics and Gynecology, Denver Health and Hospital Authority, 777 Bannock Street, Denver, CO 80204, USA.
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, 777 Bannock Street, Denver, CO 80204, USA.
| |
Collapse
|
7
|
Shriver LH, Eagleton SG, Hosseinzadeh M, Buehler C, Wideman L, Leerkes EM. Associations among eating behaviors, food security status, and dietary intake during pregnancy. Appetite 2023; 191:107062. [PMID: 37742786 PMCID: PMC10957504 DOI: 10.1016/j.appet.2023.107062] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 09/26/2023]
Abstract
Dietary intake of certain food groups and/or nutrients during pregnancy has been associated with maternal and infant pregnancy-related outcomes. Few studies have examined how behavioral and environmental factors interact to influence prenatal diet. We examined associations between eating behaviors (dietary restraint, emotional eating, external eating) and food security status regarding dietary intake of selected nutrients/food groups during pregnancy. Participants (N = 299; 29% Non-Hispanic Black; 16% ≤ high school education; 21% food insecure) completed validated questionnaires to assess estimated daily intake of food groups/nutrients during pregnancy [e.g., added sugars from sugar-sweetened beverages (SSBs), % of energy from fat, fruit and vegetable (FV) intake] via National Cancer Institute Dietary Screener Questionnaires); eating behaviors (Dutch Eating Behavior Questionnaire); and food security status (6-item USDA Food security Module). Separate hierarchical multiple regressions for each dietary outcome were conducted controlling for maternal age, education, income-to-needs, race/ethnicity, pre-pregnancy BMI, and gestational diabetes. A significant interaction was found between dietary restraint and food security status on added sugar intake from SSBs (β = -0.15, p = 0.02). The negative association between restraint and added sugar from SSBs was stronger among food insecure participants (β = -0.47, p < 0.001 vs. β = -0.15, p = 0.03). Higher external eating (β = 0.21, p < 0.01) and lower restraint (β = -0.13, p = 0.03) were associated with higher % of energy from fat and living in a food insecure household (β = -0.15, p = 0.01) was associated with lower FV intake. Understanding dietary intake during pregnancy requires consideration of the broader context in which eating behaviors occur.
Collapse
Affiliation(s)
- Lenka H Shriver
- Nutrition, UNC Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA.
| | - Sally G Eagleton
- Clinical and Translational Science Institute, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Mali Hosseinzadeh
- Nutrition, UNC Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA.
| | - Cheryl Buehler
- Human Development and Family Studies, UNC Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA.
| | - Laurie Wideman
- Kinesiology, UNC Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA.
| | - Esther M Leerkes
- Human Development and Family Studies, UNC Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA.
| |
Collapse
|
8
|
Stevens DR, Starling AP, Bommarito PA, Keil AP, Nakiwala D, Calafat AM, Adgate JL, Dabelea D, Ferguson KK. Midpregnancy Phthalate and Phenol Biomarkers in Relation to Infant Body Composition: The Healthy Start Prospective Cohort. Environ Health Perspect 2023; 131:87017. [PMID: 37616158 PMCID: PMC10449008 DOI: 10.1289/ehp12500] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND Gestational phthalate and phenol exposure disrupts adipogenesis, contributing to obesity in mice. Whether gestational phthalate or phenol exposure is associated with infant body composition has not been investigated in humans. OBJECTIVE We examined associations between biomarkers of phthalate and phenol exposure in midpregnancy and infant size and body composition at birth and at 5 months of age. METHODS Analyses were conducted among 438 infants from the Healthy Start prospective pregnancy cohort. Sixteen phthalate and phenol biomarkers were quantified in spot urine samples collected at 24-28 wk of gestation. Infant outcomes measured at birth and at 5 months of age included size [weight (in grams)] and body composition [fat and lean masses (in grams); percentage fat mass]. Single- (linear) and multipollutant (quantile g-computation) models were used to estimate associations of phthalate and phenol biomarkers with infant outcomes at birth and at 5 months of age. Models were adjusted for sociodemographics, sample collection timing, and lifestyle factors and used to examine for effect modification by infant sex. RESULTS In single-pollutant models, mono-benzyl phthalate and di-n -butyl phthalate were inversely associated with percentage fat mass [β : - 0.49 (95% CI: - 0.91 , - 0.08 ) and - 0.51 (95% CI: - 1.02 , 0.01), respectively] in male but not female infants at birth. Similar, but less precise, associations were observed at 5 months of age. In multipollutant models, a 1-quartile increase in the phthalate and phenol biomarker mixture was inversely associated with percentage fat mass at birth [- 1.06 (95% CI: - 2.21 , 0.1)] and at 5 months of age [- 2.14 (95% CI: - 3.88 , - 0.39 )] among males, but associations were null among females [0.48 (95% CI: - 0.78 , 1.75) and - 0.64 (95% CI: - 2.68 , 1.41), respectively]. Similar associations were observed with infant weight. CONCLUSION In this U.S.-based prospective cohort, gestational phthalate and phenol biomarkers were inversely associated with infant weight and fat mass, particularly in males. https://doi.org/10.1289/EHP12500.
Collapse
Affiliation(s)
- Danielle R. Stevens
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Anne P. Starling
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paige A. Bommarito
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Alexander P. Keil
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Dorothy Nakiwala
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John L. Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Public Health Campus, Aurora, Colorado, USA
| | - Dana Dabelea
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| |
Collapse
|
9
|
Grech AM, Kizirian N, Lal R, Zankl A, Birkner K, Nasir R, Muirhead R, Sau-Harvey R, Haghighi MM, Collins C, Holmes A, Skilton M, Simpson S, Gordon A. Cohort profile: the BABY1000 pilot prospective longitudinal birth cohort study based in Sydney, Australia. BMJ Open 2023; 13:e068275. [PMID: 37290940 PMCID: PMC10255277 DOI: 10.1136/bmjopen-2022-068275] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 05/23/2023] [Indexed: 06/10/2023] Open
Abstract
PURPOSE The health of parents prior to conception, a woman's health during pregnancy and the infant's environment across their first months and years collectively have profound effects on the child's health across the lifespan. Since there are very few cohort studies in early pregnancy, gaps remain in our understanding of the mechanisms underpinning these relationships, and how health may be optimised. 'BABY1000', a pilot prospective longitudinal birth cohort study, aims to (1) identify factors before and during pregnancy and early life that impact longer-term health and (2) assess the feasibility and acceptability of study design to inform future research. PARTICIPANTS Participants were based in Sydney, Australia. Women were recruited at preconception or 12 weeks' gestation, and data were collected from them throughout pregnancy and postpartum, their children until the age of 2 years, and dietary information from a partner (if able) at the last study visit. The pilot aimed to recruit 250 women. However, recruitment ceased earlier than planned secondary to limitations from the COVID-19 pandemic and the final number of subjects was 225. FINDINGS TO DATE Biosamples, clinical measurements and sociodemographic/psychosocial measures were collected using validated tools and questionnaires. Data analysis and 24-month follow-up assessments for children are ongoing. Key early findings presented include participant demographics and dietary adequacy during pregnancy. The COVID-19 pandemic and associated public health and research restrictions affected recruitment of participants, follow-up assessments and data completeness. FUTURE PLANS The BABY1000 study will provide further insight into the developmental origins of health and disease and inform design and implementation of future cohort and intervention studies in the field. Since the BABY1000 pilot was conducted across the COVID-19 pandemic, it also provides unique insight into the early impacts of the pandemic on families, which may have effects on health across the lifespan.
Collapse
Affiliation(s)
- Allison Marie Grech
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Nathalie Kizirian
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Ravin Lal
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Angelika Zankl
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Karin Birkner
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Reeja Nasir
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Roslyn Muirhead
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Rachelle Sau-Harvey
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Marjan Mosalman Haghighi
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Clare Collins
- The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, The University of Newcastle, New Lambton, New South Wales, Australia
| | - Andrew Holmes
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Michael Skilton
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Stephen Simpson
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Adrienne Gordon
- Faculty of Medicine and Health, Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Sydney, New South Wales, Australia
| |
Collapse
|
10
|
Demuth A, Ratajczak J, Czerniak U, Antosiak-Cyrak K. Is Health Education among the Decisive Factors for the Diet Quality of Pregnant Women in Poland? Nutrients 2023; 15:nu15112627. [PMID: 37299590 DOI: 10.3390/nu15112627] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/12/2023] Open
Abstract
Health education (HE), an educational process that leads to increased nutritional awareness and improved health, is one of the factors influencing diet quality (DQ) during pregnancy. The aim was to evaluate the DQ of pregnant women and its determinants considering their HE. The study included 122 pregnant women aged 20-40 years. DQ was assessed using the Kom-PAN® questionnaire and the Pro-Healthy Diet Index (pHDI). Data collected included dietary habits, socio-demographic data, education level, place of residence, and maternal lifestyle-related characteristics, namely, pre-pregnancy weight, trimester of pregnancy, and pre-pregnancy and pregnancy physical activity (PA). Weekly energy expenditure was determined using the Polish version of the PPAQ questionnaire. HE at school more than tripled the odds of a higher DQ. Women in their second trimester were 54% more likely to have a higher DQ than women in their third trimester of pregnancy. Undertaking pre-pregnancy PA increased the odds of a higher DQ 2.5 times. Comparative analyses performed in a group of women with HE (HEG, n = 33) and without HE (nHEG, n = 89) showed better DQ in the former, but this was still unsatisfactory in health-promoting properties. The results obtained showed that the HE and trimester of pregnancy and pre-pregnancy Pa influenced DQ in pregnant women.
Collapse
Affiliation(s)
- Anna Demuth
- Department of Anthropology and Biometry, Faculty of Sport Science, Poznan University of Physical Education, 61-871 Poznań, Poland
| | - Joanna Ratajczak
- Department of Anthropology and Biometry, Faculty of Sport Science, Poznan University of Physical Education, 61-871 Poznań, Poland
| | - Urszula Czerniak
- Department of Anthropology and Biometry, Faculty of Sport Science, Poznan University of Physical Education, 61-871 Poznań, Poland
| | - Katarzyna Antosiak-Cyrak
- Department of Swimming and Water Rescue, Poznan University of Physical Education, 61-871 Poznań, Poland
| |
Collapse
|
11
|
Fossee E, Zamora AN, Peterson KE, Cantoral A, Perng W, Téllez-Rojo MM, Torres-Olascoaga LA, Jansen EC. Prenatal dietary patterns in relation to adolescent offspring adiposity and adipokines in a Mexico City cohort. J Dev Orig Health Dis 2023; 14:371-380. [PMID: 36655507 PMCID: PMC10202837 DOI: 10.1017/s2040174422000678] [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] [Indexed: 01/20/2023]
Abstract
Maternal diet during pregnancy has been associated with obesity among offspring. The extent to which trimester-specific dietary patterns are associated with markers of adiposity during adolescence remains unclear. We examined associations between prenatal diet patterns with adolescent offspring measures of adiposity and adipokines in 384 mother-adolescent dyads from the Mexico City ELEMENT cohort. Trimester-specific diet patterns were derived from principal component analysis of food frequency questionnaire data. Adolescent anthropometry and serum leptin and adiponectin were measured at 10-17 years. Three maternal diet patterns were identified: Prudent Diet (PD), high in fish and vegetables, the High Meat and Fat Diet (HMFD), high in pork and processed meats, and the Transitioning Mexican Diet (TMD), high in corn tortillas and sugar-sweetened beverages. Multiple linear regression was used to estimate sex-stratified associations among quartiles of diet patterns with adiposity and adipokines, adjusting for maternal marital status, education, and parity. First trimester TMD was associated with greater anthropometric measures and higher leptin in females, while third trimester HMFD was associated higher body fat percentage, triceps thickness, waist circumference, and leptin, but lower adiponectin among males. Contrary to expectation, there were positive associations between the trimester 1 PD pattern and anthropometric measurements in females, and for trimester 2 HMFD and TMD patterns with adipokines among males. Findings suggest maternal diet patterns may influence offspring adiposity markers during adolescence in a sex-specific manner.
Collapse
Affiliation(s)
- Erica Fossee
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Astrid N. Zamora
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karen E. Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Martha M. Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Libni A. Torres-Olascoaga
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Erica C. Jansen
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| |
Collapse
|
12
|
Rhodes A, Pimprikar A, Baum A, Smith AD, Llewellyn CH. Using the Person-Based Approach to Develop a Digital Intervention Targeting Diet and Physical Activity in Pregnancy: Development Study. JMIR Form Res 2023; 7:e44082. [PMID: 37234026 PMCID: PMC10257111 DOI: 10.2196/44082] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/19/2023] [Accepted: 04/26/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND In pregnancy, eating well, keeping active, and avoiding excessive weight gain are associated with better maternal and fetal health outcomes. Dietary and physical activity (PA) interventions can be effective in changing behaviors and managing weight gain. The comparatively lower cost and greater accessibility of digital interventions make them an attractive alternative to in-person interventions. Baby Buddy is a free pregnancy and parenting app from the charity Best Beginnings. Designed to support parents, improve health outcomes, and reduce inequalities, the app is actively used within the UK National Health Service. It offers an ideal platform for delivering and evaluating a new prenatal dietary and PA intervention. OBJECTIVE The aim of this study was to create a theory-based intervention within Baby Buddy to empower, encourage, and support expectant parents to develop healthier dietary and PA habits for pregnancy and parenthood. METHODS The intervention's development process was guided by the Behavior Change Wheel, with the person-based approach used to create and test its design. Three stages of qualitative research with pregnant and recently pregnant parents guided the intervention design. Study 1 (n=30), comprising 4 web-based focus groups and 12 telephone interviews, gauged response to the rudimentary concept and generated ideas for its development. Results were analyzed thematically. At this stage, the guiding principles for the intervention development were established, and regular team meetings ensured that the intervention design remained aligned with Best Beginnings' objectives, evidence-based approach, and feasibility criteria. Study 2 (n=29), comprising web-based individual and couple interviews, explored design ideas using wireframes and scripts and generated iterative feedback on the intervention content, branding, and tone. A table of changes analysis tracked design amendments. Study 3 (n=19) tested an app prototype using think-aloud interviews with current Baby Buddy users. A patient and public involvement and engagement activity (n=18) and other expert contributors (n=14) provided ad hoc input into the research process and design development. RESULTS Study 1 confirmed the appeal and relevance of the intervention concept and its novel approach of including partners. The identified themes underpinned the development of the intervention design. Iterative feedback from study 2, in conjunction with patient and public involvement and engagement and expert contributor input, helped refine the intervention design and ensure its relevance and appeal to a diverse target user group. Study 3 highlighted functionality, content, and design issues with the app prototype and identified ways of improving the user experience. CONCLUSIONS This study illustrates the value of combining a theoretical method for intervention development with the person-based approach to create a theory-based intervention that is also user-friendly, appealing, and engaging for its target audience. Further research is needed to evaluate the effectiveness of the intervention in improving diet, PA, and weight management in pregnancy.
Collapse
Affiliation(s)
- Alexandra Rhodes
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom
| | - Arya Pimprikar
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom
| | | | - Andrea D Smith
- Medical Research Council Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Clare H Llewellyn
- Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom
| |
Collapse
|
13
|
von Ash T, Sanapo L, Bublitz MH, Bourjeily G, Salisbury A, Petrillo S, Risica PM. A Systematic Review of Studies Examining Associations between Sleep Characteristics with Dietary Intake and Eating Behaviors during Pregnancy. Nutrients 2023; 15:2166. [PMID: 37432287 PMCID: PMC10180733 DOI: 10.3390/nu15092166] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/22/2023] [Accepted: 04/28/2023] [Indexed: 07/12/2023] Open
Abstract
Little is known about the association between sleep and diet in pregnancy, despite both behaviors impacting maternal and fetal health. We aimed to perform a systematic review of the available literature on associations between sleep characteristics and dietary intake and eating behaviors during pregnancy, reporting on both maternal and fetal outcomes. We followed the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and conducted our search on 27 May 2021 in the PubMed, EMBASE, and CINAHL databases. The search yielded 6785 unique articles, of which 25 met our eligibility criteria. The studies, mostly observational, published 1993-2021, include data from 168,665 participants. Studies included examinations of associations between various maternal sleep measures with a diverse set of diet-related measures, including energy or nutrient intake (N = 12), dietary patterns (N = 9), and eating behaviors (N = 11). Associations of maternal exposures with fetal/infant outcomes were also examined (N = 5). We observed considerable heterogeneity across studies precluding our ability to perform a meta-analysis or form strong conclusions; however, several studies did report significant findings. Results from this systematic review demonstrate the need for consistency in methods across studies to better understand relationships between diet and sleep characteristics during pregnancy.
Collapse
Affiliation(s)
- Tayla von Ash
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI 02903, USA
| | - Laura Sanapo
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Margaret H. Bublitz
- Department of Psychiatry and Human Behavior, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Ghada Bourjeily
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Amy Salisbury
- School of Nursing, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Sophia Petrillo
- School of Public Health, Brown University, Providence, RI 02903, USA
| | - Patricia Markham Risica
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- School of Public Health, Brown University, Providence, RI 02903, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02903, USA
| |
Collapse
|
14
|
Roumi Z, Djazayery A, Keshavarz SA. Association Between Infants Anthropometric Outcomes With Maternal AHEI-P and DII Scores. Clin Nutr Res 2023; 12:116-125. [PMID: 37214783 PMCID: PMC10193441 DOI: 10.7762/cnr.2023.12.2.116] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/29/2023] [Accepted: 05/03/2023] [Indexed: 05/24/2023] Open
Abstract
The present study sought to examine the association between an infant's anthropometric outcomes with maternal Dietary Inflammatory Index (DII) and Alternate Healthy Eating Index for Pregnancy (AHEI-P) scores during the third trimester of pregnancy. This prospective cohort study was applying 130 pregnant women, at the pregnancy training center in west Tehran, Iran (November 2020 to July 2021). The maternal dietary intake, and body mass index (BMI), and social economic level were evaluated. The data about birth weight, birth height, head circumference, and, gestational age at birth were extracted from each child's health records. The ultimate sample included 122 (93.8%) pairs of women/newborn children. The participants, mean age was 28.13 ± 4.66 years with gestational age between 28 to 40 weeks and the mean of BMI was 24.62 ± 3.51. Our outcomes, after adjustment for confounding factors, suggested that those newborn infants in the highest quartile of maternal DII score had a significantly lower weight (p < 0.001) and height (p = 0.05), in comparison to those in the lowest quartile, but not head circumference (p = 0.18). Moreover, after adjustment for confounding factors, results suggested that those newborn infants in the First quartile of maternal AHEI-P score had a significantly lower weight (p = 0.018) and, in comparison to those in the higher quartile. It appears that newborn infants with lower maternal DII and higher AHEI-P scores may have a better anthropometric outcome. Further longitudinal and in-depth qualitative and quantitative studies, with a longer-term follow-up, is warranted to support the integrity of our outcomes.
Collapse
Affiliation(s)
- Zahra Roumi
- Department of Nutrition, Electronic Health and Statistics Surveillance Research Center, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | - Abolghassem Djazayery
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | - Seyed Ali Keshavarz
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran 1416643931, Iran
| |
Collapse
|
15
|
Cohen CC, Perng W, Sauder KA, Shapiro ALB, Starling AP, Friedman C, Felix JF, Küpers LK, Moore BF, Hébert JR, Shivappa N, Scherzinger A, Sundaram SS, Shankar K, Dabelea D. Maternal Diet Quality During Pregnancy and Offspring Hepatic Fat in Early Childhood: The Healthy Start Study. J Nutr 2023; 153:1122-1132. [PMID: 36796482 PMCID: PMC10196613 DOI: 10.1016/j.tjnut.2023.01.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 08/19/2022] [Revised: 01/24/2023] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Overnutrition in utero may increase offspring risk of nonalcoholic fatty liver disease (NAFLD), but the specific contribution of maternal diet quality during pregnancy to this association remains understudied in humans. OBJECTIVES This study aimed to examine the associations of maternal diet quality during pregnancy with offspring hepatic fat in early childhood (median: 5 y old, range: 4-8 y old). METHODS Data were from 278 mother-child pairs in the longitudinal, Colorado-based Healthy Start Study. Multiple 24-h recalls were collected from mothers during pregnancy on a monthly basis (median: 3 recalls, range: 1-8 recalls starting after enrollment), and used to estimate maternal usual nutrient intakes and dietary pattern scores [Healthy Eating Index-2010 (HEI-2010), Dietary Inflammatory Index (DII), and Relative Mediterranean Diet Score (rMED)]. Offspring hepatic fat was measured in early childhood by MRI. Associations of maternal dietary predictors during pregnancy with offspring log-transformed hepatic fat were assessed using linear regression models adjusted for offspring demographics, maternal/perinatal confounders, and maternal total energy intake. RESULTS Higher maternal fiber intake and rMED scores during pregnancy were associated with lower offspring hepatic fat in early childhood in fully adjusted models [Back-transformed β (95% CI): 0.82 (0.72, 0.94) per 5 g/1000 kcal fiber; 0.93 (0.88, 0.99) per 1 SD for rMED]. In contrast, higher maternal total sugar and added sugar intakes, and DII scores were associated with higher offspring hepatic fat [Back-transformed β (95% CI): 1.18 (1.05, 1.32) per 5% kcal/d added sugar; 1.08 (0.99, 1.18) per 1 SD for DII]. Analyses of dietary pattern subcomponents also revealed that lower maternal intakes of green vegetables and legumes and higher intake of "empty calories" were associated with higher offspring hepatic fat in early childhood. CONCLUSIONS Poorer maternal diet quality during pregnancy was associated with greater offspring susceptibility to hepatic fat in early childhood. Our findings provide insights into potential perinatal targets for the primordial prevention of pediatric NAFLD.
Collapse
Affiliation(s)
- Catherine C Cohen
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Allison L B Shapiro
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Chloe Friedman
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Leanne K Küpers
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Brianna F Moore
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - James R Hébert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Nitin Shivappa
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Ann Scherzinger
- Department of Radiology, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Shikha S Sundaram
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kartik Shankar
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
16
|
Perng W, Aris IM, Slopen N, Younoszai N, Swanson V, Mueller NT, Sauder KA, Dabelea D. Application of Life's Essential 8 to assess cardiovascular health during early childhood. Ann Epidemiol 2023; 80:16-24. [PMID: 36773850 PMCID: PMC10040436 DOI: 10.1016/j.annepidem.2023.02.004] [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: 12/21/2022] [Revised: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023]
Abstract
PURPOSE Assess cardiovascular health (CVH) during early childhood using the American Heart Association's recently updated construct, Life's Essential 8 (LE8); examine concordance in CVH status per LE8 versus Life's Simple 7 (LS7); and identify perinatal correlates of high CVH per LE8. METHODS We applied LE8 and LS7 to data from 305 children aged 4-7 years in Denver, CO; estimated % low, moderate, high, and optimal CVH; assessed concordance in CVH status based on LE8 and LS7 using contingency tables; and used multivariable logistic regression to identify early-life correlates of high CVH per LE8. RESULTS Average age of children was 4.7 ± 0.6 years, 44.6% were female. No participants had low or optimal CVH, 43.9% had high, and 56.1% had moderate CVH per LE8, whereas 33.4% had high and 66.6% had moderate CVH per LS7. Twenty-two percent had high CVH based on both constructs. Correlates of high CVH were maternal prenatal diet quality (odds ratioHealthy Eating Index score>vs. ≤57 = 1.90 [1.12, 3.21]) and child age (odds ratioper 1 year = 1.58 [1.04. 2.42]). CONCLUSIONS LE8 yielded higher prevalence of high CVH than LS7 during early childhood, though there is modest concordance between the two constructs. Maternal diet is a potential modifiable target to optimize early-life CVH.
Collapse
Affiliation(s)
- Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Natalie Slopen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Nolan Younoszai
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Valerie Swanson
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Noel T Mueller
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, CO
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, CO
| |
Collapse
|
17
|
Newman TM, Clear KYJ, Wilson AS, Soto-Pantoja DR, Ochs-Balcom HM, Cook KL. Early-life dietary exposures mediate persistent shifts in the gut microbiome and visceral fat metabolism. Am J Physiol Cell Physiol 2023; 324:C644-C657. [PMID: 35848617 PMCID: PMC9970661 DOI: 10.1152/ajpcell.00380.2021] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
In utero dietary exposures are linked to the development of metabolic syndrome in adult offspring. These dietary exposures can potentially impact gut microbial composition and offspring metabolic health. Female BALB/c mice were administered a lard, lard + flaxseed oil, high sugar, or control diet 4 wk before mating, throughout mating, pregnancy, and lactation. Female offspring were offered low-fat control diet at weaning. Fecal 16S sequencing was performed. Untargeted metabolomics was performed on visceral adipose tissue (VAT) of adult female offspring. Immunohistochemistry was used to determine adipocyte size, VAT collagen deposition, and macrophage content. Hippurate was administered via weekly intraperitoneal injections to low-fat and high-fat diet-fed female mice and VAT fibrosis and collagen 1A (COL1A) were assessed by immunohistochemistry. Lard diet exposure was associated with elevated body and VAT weight and dysregulated glucose metabolism. Lard + flaxseed oil attenuated these effects. Lard diet exposures were associated with increased adipocyte diameter and VAT macrophage count. Lard + flaxseed oil reduced adipocyte diameter and fibrosis compared with the lard diet. Hippurate-associated bacteria were influenced by lard versus lard + flax exposures that persisted to adulthood. VAT hippurate was increased in lard + flaxseed oil compared with lard diet. Hippurate supplementation mitigated VAT fibrosis pathology. Maternal high-fat lard diet consumption resulted in long-term metabolic and gut microbiome programming in offspring, impacting VAT inflammation and fibrosis, and was associated with reduced VAT hippurate content. These traits were not observed in maternal high-fat lard + flaxseed oil diet-exposed offspring. Hippurate supplementation reduced VAT fibrosis. These data suggest that detrimental effects of early-life high-fat lard diet exposure can be attenuated by dietary omega-3 polyunsaturated fatty acid supplementation.
Collapse
Affiliation(s)
- Tiffany M. Newman
- 1Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina,2Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kenysha Y. J. Clear
- 2Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Adam S. Wilson
- 2Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - David R. Soto-Pantoja
- 1Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina,2Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina,3Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Heather M. Ochs-Balcom
- 4Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
| | - Katherine L. Cook
- 1Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina,2Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina,3Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, North Carolina
| |
Collapse
|
18
|
Kowalski K, Auerbach J, Martenies SE, Starling AP, Moore B, Dabelea D, Magzamen S. Neighborhood Walkability, Historical Redlining, and Childhood Obesity in Denver, Colorado. J Urban Health 2023; 100:103-117. [PMID: 36622547 PMCID: PMC9918655 DOI: 10.1007/s11524-022-00703-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/01/2022] [Indexed: 01/10/2023]
Abstract
Childhood obesity is a precursor to future health complications. In adults, neighborhood walkability is inversely associated with obesity prevalence. Recently, it has been shown that current urban walkability has been influenced by historical discriminatory neighborhood disinvestment. However, the relationship between this systemic racism and obesity has not been extensively studied. The objective of this study was to evaluate the association of neighborhood walkability and redlining, a historical practice of denying home loans to communities of color, with childhood obesity. We evaluated neighborhood walkability and walkable destinations for 250 participants of the Healthy Start cohort, based in the Denver metropolitan region. Eligible participants attended an examination between ages 4 and 8. Walkable destinations and redlining geolocations were determined based on residential addresses, and a weighting system for destination types was developed. Sidewalks and trails in Denver were included in the network analyst tool in ArcMap to calculate the precise walkable environment for each child. We implemented linear regression models to estimate associations between neighborhood characteristics and child body mass index (BMI) z-scores and fat mass percent. There was a significant association between child BMI and redlining (β: 1.36, 95% CI: 0.106, 2.620). We did not find an association between walkability measures and childhood obesity outcomes. We propose that cities such as Denver pursue built environment policies, such as inclusionary zoning and direct investments in neighborhoods that have been historically neglected, to reduce the childhood health impacts of segregated poverty, and suggest further studies on the influences that redlining and urban built environment factors have on childhood obesity.
Collapse
Affiliation(s)
- Katharina Kowalski
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
| | - Jeremy Auerbach
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
- Department of Community Health and Kinesiology, University of Illinois Urbana-Champaign, IL, Champaign, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Brianna Moore
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA.
| |
Collapse
|
19
|
van der Pligt PF, Ellery SJ, de Guingand DL, Abbott G, Della Gatta PA, Daly RM. Maternal plasma vitamin D levels across pregnancy are not associated with neonatal birthweight: findings from an Australian cohort study of low-risk pregnant women. BMC Pregnancy Childbirth 2023; 23:67. [PMID: 36703113 PMCID: PMC9878969 DOI: 10.1186/s12884-022-05336-0] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/26/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND In utero environments can be highly influential in contributing to the development of offspring obesity. Specifically, vitamin D deficiency during pregnancy is associated with adverse maternal and child health outcomes, however its relationship with offspring obesity remains unclear. We assessed maternal vitamin D status across pregnancy, change in plasma vitamin D concentrations and associations with neonatal birthweight, macrosomia and large for gestational age. METHODS Women (n = 221) aged 18-40 years with singleton (low-risk) pregnancies, attending antenatal clinics at a tertiary-level maternity hospital were recruited at 10-20 weeks gestation. Medical history, maternal weight and blood samples at three antenatal clinic visits were assessed; early (15 ± 3 weeks), mid (27 ± 2 weeks) and late (36 ± 1 weeks) gestation. Maternal 25(OH)D was analysed from stored plasma samples via liquid chromatography-tandem mass spectrometry (LC/MS/MS). Neonatal growth parameters were collected at birth. Unadjusted and adjusted linear and logistic regression assessed associations of maternal vitamin D with birthweight, macrosomia and large for gestational age. RESULTS Mean plasma 25(OH)D increased from early (83.8 ± 22.6 nmol/L) to mid (96.5 ± 28.9 nmol/L) and late (100.8 ± 30.8 nmol/L) gestation. Overall 98% of women were taking vitamin D-containing supplements throughout their pregnancy. Prevalence of vitamin D deficiency (25(OH)D < 50 nmol/L) was 6.5%, 6.3% and 6.8% at early, mid and late pregnancy respectively. No statistically significant association was found between 25(OH)D or vitamin D deficiency at any timepoint with neonatal birthweight, macrosomia or large for gestational age. CONCLUSIONS Prevalence of vitamin D deficiency was low in this cohort of pregnant women and likely related to the high proportion of women taking vitamin D supplements during pregnancy. Maternal 25(OH)D did not impact offspring birth weight or birth size. Future studies in high-risk pregnant populations are needed to further assess maternal vitamin D status and factors in utero which promote early life obesity.
Collapse
Affiliation(s)
- Paige F. van der Pligt
- grid.1021.20000 0001 0526 7079Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia ,Department of Nutrition, Western Health, Footscray, VIC Australia
| | - Stacey J. Ellery
- grid.452824.dThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC Australia ,grid.1002.30000 0004 1936 7857Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC Australia
| | - Deborah L. de Guingand
- grid.452824.dThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC Australia ,grid.1002.30000 0004 1936 7857Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC Australia
| | - Gavin Abbott
- grid.1021.20000 0001 0526 7079Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Paul A. Della Gatta
- grid.1021.20000 0001 0526 7079Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Robin M. Daly
- grid.1021.20000 0001 0526 7079Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| |
Collapse
|
20
|
Venter C, Palumbo MP, Glueck DH, Sauder KA, Perng W, O'Mahony L, Pickett K, Greenhawt M, Fleischer DM, Dabelea D. Comparing the Diagnostic Accuracy of Measures of Maternal Diet During Pregnancy for Offspring Allergy Outcomes: The Healthy Start Study. J Allergy Clin Immunol Pract 2023; 11:255-263.e1. [PMID: 36150675 PMCID: PMC10898920 DOI: 10.1016/j.jaip.2022.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 03/13/2022] [Revised: 08/18/2022] [Accepted: 09/07/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Allergic diseases in children are increasing. Although maternal diet quality in pregnancy may be protective, it is unclear which measure of maternal diet best predicts offspring diseases. OBJECTIVE To examine the associations between multiple diet measures and allergy outcomes, and to compare the diagnostic accuracy of the measures for the prediction of allergy outcomes. METHODS Maternal diet during pregnancy was measured using a validated instrument, and scored using 5 measures: the maternal diet index (MDI), Healthy Eating Index, total diet diversity, healthy diet diversity, and unhealthy diet diversity. Unadjusted and adjusted logistic regression models assessed associations between maternal diet measures and offspring allergy outcomes up to age 4 years. The diagnostic accuracy of the diet measures was compared. RESULTS There were significant associations between MDI (odds ratio [OR], 0.78; 95% CI, 0.70-0.87), Healthy Eating Index (OR, 0.98; 95% CI, 0.97-0.99), and healthy diet diversity scores (OR, 0.91; 95% CI, 0.85-0.98) during pregnancy and the primary combined outcome "any allergy excluding wheeze" in children up to age 4 years. Neither maternal total diet diversity (OR, 0.99; 95% CI, 0.95-1.03) nor unhealthy diet diversity scores (OR, 1.05; 95% CI, 0.98-1.13) were associated with the "any allergy excluding wheeze" outcome. For all outcomes studied, except for food allergy, there was a significant difference in the diagnostic accuracy between the 5 measures of maternal diet. The area under the curve for MDI was highest for every disease outcome, although not always significantly higher. CONCLUSIONS Better quality and higher diversity of a woman's diet during pregnancy, measured in various ways, is associated with offspring allergy outcomes, with healthy foods associated with decreased risk, and unhealthy foods associated with a higher risk. The MDI, which appropriately weighted both healthy and unhealthy foods, best predicted childhood allergic disease.
Collapse
Affiliation(s)
- Carina Venter
- Section of Allergy & Immunology, Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado; Children's Hospital Colorado, Aurora, Colo.
| | - Michaela P Palumbo
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colo
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colo; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colo
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colo; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colo
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colo; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Mich
| | - Liam O'Mahony
- Department of Medicine and School of Microbiology, APC Microbiome, APC Microbiome Ireland, National University of Ireland, Cork, Ireland
| | - Kaci Pickett
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colo
| | - Matthew Greenhawt
- Section of Allergy & Immunology, Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado; Children's Hospital Colorado, Aurora, Colo
| | - David M Fleischer
- Section of Allergy & Immunology, Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado; Children's Hospital Colorado, Aurora, Colo
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colo; Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colo; Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colo
| |
Collapse
|
21
|
Moore BF, Kreitner KJ, Starling AP, Martenies SE, Magzamen S, Clark M, Dabelea D. Early-life exposure to tobacco and childhood adiposity: Identifying windows of susceptibility. Pediatr Obes 2022; 17:e12967. [PMID: 36350199 PMCID: PMC10035041 DOI: 10.1111/ijpo.12967] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early-life exposure to tobacco is associated with obesity, but the most susceptible developmental periods are unknown. OBJECTIVE To explore windows of susceptibility in a cohort of 568 mother-child pairs. METHODS We measured seven measures of tobacco exposure (five self-reported and two biomarkers) spanning from pre-conception to age 5 years. Mothers self-reported active smoking (pre-conception, 17 weeks, and delivery) and household smokers (5 and 18 months postnatally). Cotinine was measured in maternal urine (27 weeks) and child urine (5 years). Adiposity (fat mass percentage) was measured at birth and 5 years via air displacement plethysmography. Using a multiple informant approach, we tested whether adiposity (5 years) and changes in adiposity (from birth to 5 years) differed by the seven measures of tobacco exposure. RESULTS The associations may depend on timing. For example, only pre-conception (β = 3.1%; 95% CI: 1.0-5.1) and late gestation (β = 4.0%; 95% CI: 0.4-7.6) exposures influenced adiposity accretion from birth to 5 years (p for interaction = 0.01). Early infancy exposure was also associated with 1.7% higher adiposity at 5 years (95% CI: 0.1-3.2). Mid-pregnancy and early childhood exposures did not influence adiposity. CONCLUSIONS Pre-conception, late gestation, and early infancy exposures to tobacco may have the greatest impact on childhood adiposity.
Collapse
Affiliation(s)
- Brianna F. Moore
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Kimberly J. Kreitner
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Maggie Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| |
Collapse
|
22
|
Robertson OC, Marceau K, Moding KJ, Knopik VS. Developmental pathways linking obesity risk and early puberty: The thrifty phenotype and fetal overnutrition hypotheses. Developmental Review 2022. [DOI: 10.1016/j.dr.2022.101048] [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] [Indexed: 11/26/2022]
|
23
|
Martenies SE, Hoskovec L, Wilson A, Moore BF, Starling AP, Allshouse WB, Adgate JL, Dabelea D, Magzamen S. Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort. Environ Health 2022; 21:111. [PMID: 36401268 PMCID: PMC9675112 DOI: 10.1186/s12940-022-00934-z] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/30/2022] [Indexed: 06/09/2023]
Abstract
BACKGROUND Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborhood-level environmental and social exposures were driving associations with birth weight and adiposity at birth in the Healthy Start cohort. METHODS Exposures were assessed at the census tract level and included air pollution, built environment characteristics, and socioeconomic status. Prenatal exposures were assigned based on address at enrollment. Birth weight was measured at delivery and adiposity was measured using air displacement plethysmography within three days. We used non-parametric Bayes shrinkage (NPB) to identify exposures that were associated with our outcomes of interest. NPB models were compared to single-predictor linear regression. We also included generalized additive models (GAM) to assess nonlinear relationships. All regression models were adjusted for individual-level covariates, including maternal age, pre-pregnancy BMI, and smoking. RESULTS Results from NPB models showed most exposures were negatively associated with birth weight, though credible intervals were wide and generally contained zero. However, the NPB model identified an interaction between ozone and temperature on birth weight, and the GAM suggested potential non-linear relationships. For associations between ozone or temperature with birth weight, we observed effect modification by maternal race/ethnicity, where effects were stronger for mothers who identified as a race or ethnicity other than non-Hispanic White. No associations with adiposity at birth were observed. CONCLUSIONS NPB identified prenatal exposures to ozone and temperature as predictors of birth weight, and mothers who identify as a race or ethnicity other than non-Hispanic White might be disproportionately impacted. However, NPB models may have limited applicability when non-linear effects are present. Future work should consider a two-stage approach where NPB is used to reduce dimensionality and alternative approaches examine non-linear effects.
Collapse
Affiliation(s)
- Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 906 S Goodwin Ave, M/C 052, Urbana, IL, 61801, USA.
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Lauren Hoskovec
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Brianna F Moore
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
24
|
Martin K, Radler DR, Sackey J, Zhang C, Shrestha K, Shrestha A, Shrestha A, Barrett ES, Rawal S. Association between 1 st trimester diet quality & gestational weight gain rate among pregnant women in Dhulikhel, Nepal. BMC Nutr 2022; 8:129. [PMID: 36369060 PMCID: PMC9650875 DOI: 10.1186/s40795-022-00623-7] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Despite promising data from high-income countries, the impact of diet quality on gestational weight gain (GWG) has not been investigated in the context of many low-income countries including Nepal. METHODS We prospectively examined the association between 1st trimester diet quality and GWG rate among a cohort of singleton pregnant women (n = 101; age 25.9 ± 4.1 years) from a community-based periurban hospital in Dhulikhel, Nepal. Diet quality was assessed from the adapted Nepali version of the 21-item PrimeScreen questionnaire in the 1st trimester. The diet quality score is based on consumption frequency of 21 food group components (score ranging 0-42), categorized as healthy (12 groups) versus unhealthy (9 groups), with higher scores indicative of better overall diet quality. The GWG rate was calculated as the measured weight at early-to-mid 3rd trimester (28-35 wks) minus the weight at 2nd trimester (13-25 wks), divided by the number of weeks in between. Linear regression estimated the association between diet quality and GWG rate, adjusting for a priori covariates (i.e. age, education, ethnicity, pre-pregnancy BMI, and nausea/vomiting.) RESULTS: The mean GWG rate in mid-to-late pregnancy was 0.46 ± 0.2 kg/wk and the mean diet quality score was 23.6 ± 2.5. Based on pre-pregnancy BMI, 49.4% of women had excessive GWG rate, while nearly equal numbers had either adequate GWG or inadequate GWG rate. There was no significant association between diet quality and GWG rate [adjusted β (95% CI) = -0.02 (-0.05, 0.01); p = 0.14]. The mean GWG rate was marginally higher (0.57 vs. 0.44 kg/wk; p = 0.06) among those with high versus low (2 + servings vs. 0-1 serving/wk) intake of red meat; similar findings were seen when comparing red meat intake between women with excessive versus adequate GWG (Cramer's V = 0.2; p = 0.06). CONCLUSIONS While 1st trimester diet quality is not related to GWG among Nepali women, a high intake of red meat may be a potential risk factor for excessive GWG in this population.
Collapse
Affiliation(s)
- Kelly Martin
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers the State University of New Jersey, 65 Bergen Street. Room 157, Newark, NJ, 07107, USA
- Department of Human Ecology, SUNY Oneonta, Oneonta, NY, USA
| | - Diane Rigassio Radler
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers the State University of New Jersey, 65 Bergen Street. Room 157, Newark, NJ, 07107, USA
| | - Joachim Sackey
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers the State University of New Jersey, 65 Bergen Street. Room 157, Newark, NJ, 07107, USA
| | - Cuilin Zhang
- Eunice Kennedy Shriver National Institute of Child Health and Development, Bethesda, MD, USA
| | - Kusum Shrestha
- Department of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Abha Shrestha
- Department of Obstetrics and Gynecology, Dhulikhel Hospital, Dhulikhel, Nepal
| | - Archana Shrestha
- Department of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
- Department of Chronic Disease and Epidemiology, Center of Methods for Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA
- Institute for Implementation Science and Health, Kathmandu, Nepal
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Rutgers the State University of New Jersey, Piscataway, NJ, USA
| | - Shristi Rawal
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers the State University of New Jersey, 65 Bergen Street. Room 157, Newark, NJ, 07107, USA.
| |
Collapse
|
25
|
Cohen CC, Harrall KK, Gilley SP, Perng W, Sauder KA, Scherzinger A, Shankar K, Sundaram SS, Glueck DH, Dabelea D. Body composition trajectories from birth to 5 years and hepatic fat in early childhood. Am J Clin Nutr 2022; 116:1010-1018. [PMID: 36055960 PMCID: PMC9535524 DOI: 10.1093/ajcn/nqac168] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 03/07/2022] [Revised: 04/28/2022] [Accepted: 06/08/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Adiposity is an established risk factor for pediatric nonalcoholic fatty liver disease (NAFLD), but little is known about the influence of body composition patterns earlier in life on NAFLD risk. OBJECTIVES We aimed to examine associations of body composition at birth and body composition trajectories from birth to early childhood with hepatic fat in early childhood. METHODS Data were from the longitudinal Healthy Start Study in Colorado. Fat-free mass index (FFMI), fat mass index (FMI), percentage body fat (BF%), and BMI were assessed at birth and/or ∼5 y in >1200 children by air displacement plethysmography and anthropometrics. In a subset (n = 285), hepatic fat was also assessed at ∼5 y by MRI. We used a 2-stage modeling approach: first, we fit body composition trajectories from birth to early childhood using mixed models with participant-specific intercepts and linear slopes (i.e., individual deviations from the population average at birth and rate of change per year, respectively); second, associations of participant-specific trajectory deviations with hepatic fat were assessed by multivariable-adjusted linear regression. RESULTS Participant-specific intercepts at birth for FFMI, FMI, BF%, and BMI were inversely associated with log-hepatic fat in early childhood in models adjusted for offspring demographics and maternal/prenatal variables [back-transformed β (95% CI) per 1 SD: 0.93 (0.88, 0.99), 0.94 (0.88, 0.99), 0.94 (0.89, 0.99), and 0.90 (0.85, 0.96), respectively]. Whereas, faster velocities for BF% and BMI from birth to ∼5 y were positively associated with log-hepatic fat [back-transformed β (95% CI) per 1 SD: 1.08 (1.01, 1.15) and 1.08 (1.02, 1.15), respectively]. These latter associations of BF% and BMI velocities with childhood hepatic fat were attenuated to the null when adjusted for participant-specific intercepts at birth. CONCLUSIONS Our findings suggest that a smaller birth weight, combined with faster adiposity accretion in the first 5 y, predicts higher hepatic fat in early childhood. Strategies aiming to promote healthy body composition early in life may be critical for pediatric NAFLD prevention.This study was registered voluntarily at clinicaltrials.gov as NCT02273297.
Collapse
Affiliation(s)
- Catherine C Cohen
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephanie P Gilley
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Katherine A Sauder
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ann Scherzinger
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kartik Shankar
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Shikha S Sundaram
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
26
|
Hoyt AT, Wilkinson AV, Langlois PH, Galeener CE, Ranjit N, Sauder KA, Dabelea DM, Moore BF. Prenatal exposure to tobacco and adverse birth outcomes: effect modification by folate intake during pregnancy. Matern Health Neonatol Perinatol 2022; 8:6. [PMID: 36096906 PMCID: PMC9465971 DOI: 10.1186/s40748-022-00141-1] [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] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/01/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Fetal exposure to tobacco increases the risk for many adverse birth outcomes, but whether diet mitigates these risks has yet to be explored. Here, we examined whether maternal folate intake (from foods and supplements) during pregnancy modified the association between prenatal exposure to tobacco and with preterm delivery, small-for-gestational age (SGA) births, or neonatal adiposity. METHODS Mother-child pairs (n = 701) from Healthy Start were included in this analysis. Urinary cotinine was measured at ~ 27 weeks gestation. Diet was assessed using repeated 24-h dietary recalls. Neonatal adiposity (fat mass percentage) was measured via air displacement plethysmography. Interaction was assessed by including a product term between cotinine (< / ≥ limit of detection [LOD]) and folate (< / ≥ 25th percentile [1077 µg/day]) in separate logistic or linear regression models, adjusting for maternal age, race, ethnicity, education, pre-pregnancy body mass index, and infant sex. RESULTS Approximately 26% of women had detectable levels of cotinine. Folate intake was significantly lower among women with cotinine ≥ LOD as compared to those with cotinine < LOD (1293 µg/day vs. 1418 µg/day; p = 0.01). Folate modified the association between fetal exposure to tobacco with neonatal adiposity (p for interaction = 0.07) and SGA (p for interaction = 0.07). Among those with lower folate intake, fetal exposure to tobacco was associated with lower neonatal adiposity (mean difference: -2.09%; 95% CI: -3.44, -0.74) and increased SGA risk (OR: 4.99; 95% CI: 1.55, 16.14). Conversely, among those with higher folate intake, there was no difference in neonatal adiposity (mean difference: -0.17%; 95% CI: -1.13, 0.79) or SGA risk (OR: 1.15; 95% CI: 0.57, 2.31). CONCLUSIONS Increased folate intake during pregnancy (from foods and/or supplements) may mitigate the risk of fetal growth restriction among those who are unable to quit smoking or cannot avoid secondhand smoke during pregnancy.
Collapse
Affiliation(s)
- Adrienne T Hoyt
- Department of Health Promotion and Behavioral Sciences, UTHealth School of Public Health - Austin Regional Campus, Austin, TX, USA
| | - Anna V Wilkinson
- Department of Epidemiology, UTHealth School of Public Health - Austin Regional Campus, Human Genetics, and Environmental Sciences, Austin, TX, USA
| | - Peter H Langlois
- Department of Epidemiology, UTHealth School of Public Health - Austin Regional Campus, Human Genetics, and Environmental Sciences, Austin, TX, USA
| | - Carol E Galeener
- Department of Management, Policy and Community Health, UTHealth School of Public Health- Houston Regional Campus, Fleming Center Health for Care Management, Houston, TX, USA
| | - Nalini Ranjit
- Department of Health Promotion and Behavioral Sciences, UTHealth School of Public Health - Austin Regional Campus, Austin, TX, USA
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterDepartment of PediatricsSchool of Medicine, Colorado School of Public Health, University of Colorado, Denver, USA
| | - Dana M Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Department of Pediatrics, Department of Epidemiology, University of Colorado School of Medicine, Colorado School of Public Health, Aurora, CO, USA
| | - Brianna F Moore
- Department of Epidemiology, UTHealth School of Public Health - Austin Regional Campus, Human Genetics, and Environmental Sciences, Austin, TX, USA.
| |
Collapse
|
27
|
Aubert AM, Chen LW, Shivappa N, Cooper C, Crozier SR, Duijts L, Forhan A, Hanke W, Harvey NC, Jankowska A, Kelleher CC, de Lauzon-Guillain B, McAuliffe FM, Mensink-Bout SM, Polanska K, Relton CL, Suderman M, Hebert JR, Phillips CM, Bernard JY, Heude B. Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium. Clin Nutr 2022; 41:1991-2002. [PMID: 35964423 DOI: 10.1016/j.clnu.2022.06.042] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 02/23/2022] [Revised: 06/10/2022] [Accepted: 06/30/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND & AIMS Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe. METHODS We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy. RESULTS DASH and E-DII scores were moderately correlated: from -0.63 (95% CI: -0.66, -0.59) to -0.48 (95% CI: -0.49, -0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range. CONCLUSIONS The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.
Collapse
Affiliation(s)
- Adrien M Aubert
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Ling-Wei Chen
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), 117609, Singapore.
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX1 2JD, UK.
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, Southampton SO16 7NP, UK.
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands; Department of Pediatrics, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands.
| | - Anne Forhan
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Wojciech Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
| | - Agnieszka Jankowska
- Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Cecily C Kelleher
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Blandine de Lauzon-Guillain
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin 2, Ireland.
| | - Sara M Mensink-Bout
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands.
| | - Kinga Polanska
- Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
| | - James R Hebert
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
| | - Catherine M Phillips
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Jonathan Y Bernard
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), 117609, Singapore.
| | - Barbara Heude
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| |
Collapse
|
28
|
Dhaliwal SK, Dabelea D, Lee-Winn AE, Glueck DH, Wilkening G, Perng W. Characterization of Maternal Psychosocial Stress During Pregnancy: The Healthy Start Study. Women's Health Reports 2022; 3:698-708. [PMID: 36147836 PMCID: PMC9436384 DOI: 10.1089/whr.2022.0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 05/19/2022] [Indexed: 11/12/2022]
Abstract
Objective: To capture multidimensional maternal psychosocial stress using responses from the Edinburgh Postnatal Depression Scale (EPDS) and Cohen's Perceived Stress Scale (PSS) administered during pregnancy, and to identify sociodemographic, biological, and health behavioral correlates of the stress domains. Methods: Using data from 1,079 pregnant women, we implemented principal component analysis on EPDS and PSS responses and retained factors based on the Scree plot and Eigenvalues >1. We then used linear regression to identify perinatal correlates of each domain. Results: We identified three stress domains: “Feeling Overwhelmed,” “Anhedonia,” and “Lack of Control,” which accounted for 10.6% of variance in questionnaire responses. In multivariable analyses, household income ≤$70,000 (β = 0.21 confidence interval [95% CI: 0.05–0.39]), primiparity (0.36 [0.02–0.71]), inadequate (0.21 [0.04–0.39]) or excessive gestational weight gain (0.27 [0.11–0.42]), and Healthy Eating Index (HEI) score ≤57 (0.14 [0.00–0.28]) were associated with Feeling Overwhelmed. Older age (0.02 [0.00–0.03] per 1-year), Hispanic ethnicity (0.19 [0.00–0.38]), and HEI score ≤57 (0.15 [0.02–0.28]) were associated with Anhedonia. Non-Hispanic Black race/ethnicity (0.37 [0.10–0.63]), not having graduated from college (0.16 [−0.02 to 0.35]), having a partner born outside the United States (0.17 [−0.02 to 0.37]), household size of ≥5 persons (0.21 [−0.02 to 0.37]), receiving public assistance (0.18 [−0.02 to 0.37]), and prenatal smoking (0.32 [0.05–0.59]) were associated with Lack of Control. Conclusions: Three domains of maternal psychosocial stress during pregnancy (Feeling Overwhelmed, Anhedonia, and Lack of Control) were differentially related to sociodemographic, biological, and health behavioral characteristics that may be targets for interventions to ameliorate stress in pregnant women. Clinical Trial Registry : The Healthy Start study is registered as an observational study at clinicaltrials.gov (NCT #002273297).
Collapse
Affiliation(s)
- Satvinder K. Dhaliwal
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Angela E. Lee-Winn
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Deborah H. Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Greta Wilkening
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department or Neuropsychology, Colorado Children's Hospital, Aurora, Colorado, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| |
Collapse
|
29
|
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]
|
30
|
Cohen CC, Francis EC, Perng W, Sauder KA, Scherzinger A, Sundaram SS, Shankar K, Dabelea D. Exposure to maternal fuels during pregnancy and offspring hepatic fat in early childhood: The healthy start study. Pediatr Obes 2022; 17:e12902. [PMID: 35122420 PMCID: PMC9177565 DOI: 10.1111/ijpo.12902] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 10/28/2021] [Revised: 01/07/2022] [Accepted: 01/20/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Intrauterine overnutrition has been associated with paediatric nonalcoholic fatty liver disease (NAFLD), but the exact mechanisms involved remain unclear. OBJECTIVE To examine whether maternal fuels and metabolic markers during pregnancy are associated with offspring hepatic fat in childhood. METHODS This analysis included 286 mother-child pairs from the Healthy Start Study, a longitudinal pre-birth cohort in Colorado. Fasting blood draws were collected in early pregnancy (~17 weeks) and mid-pregnancy (~27 weeks). Offspring hepatic fat was assessed by magnetic resonance imaging (MRI) at ~5 years. RESULTS In early pregnancy, maternal triglycerides (TGs) and free fatty acids (FFAs) were positively associated with offspring hepatic fat [Back-transformed β (95% CI): 1.15 (1.05, 1.27) per 1 standard deviation (SD) TGs; 1.14 (1.05, 1.23) per 1 SD FFAs]. Maternal total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) were also associated with offspring hepatic fat, but only among boys [1.22 (1.08, 1.37) per 1 SD TC; 1.21 (1.07, 1.37) per 1 SD LDL-C]. In mid-pregnancy, only maternal TGs remained associated with offspring hepatic fat. Adjusting for potential confounders or mediators did not affect associations. CONCLUSIONS Maternal lipid concentrations, especially in early pregnancy, are associated with higher offspring hepatic fat, and may, therefore, be targeted in future interventions among pregnant women.
Collapse
Affiliation(s)
- Catherine C. Cohen
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ellen C. Francis
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Katherine A. Sauder
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ann Scherzinger
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Shikha S. Sundaram
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kartik Shankar
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
31
|
Petersen JM, Naimi AI, Kirkpatrick SI, Bodnar LM. Equal Weighting of the Healthy Eating Index-2010 Components May Not be Appropriate for Pregnancy. J Nutr 2022; 152:1886-1894. [PMID: 35641231 PMCID: PMC9361739 DOI: 10.1093/jn/nxac120] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/18/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Adherence to the Dietary Guidelines for Americans is often assessed using the Healthy Eating Index (HEI). The HEI total score reflects overall diet quality, with all aspects equally important. Using the traditional weighting scheme for the HEI, all components are generally weighted equally in the total score. However, there is limited empirical basis for applying the traditional weighting for pregnancy specifically. OBJECTIVES We aimed to assess associations between the 12 HEI-2010 component scores and select pregnancy outcomes. METHODS The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be was a prospective pregnancy cohort (US multicenter, 2010-2013). Participants enrolled in the study between 6 and 13 weeks of gestation. An FFQ assessed usual dietary intake 3 months prior to pregnancy (n = 7880). Scores for the HEI-2010 components were assigned using prespecified standards based on densities (standard units per 1000 kcal) of relevant food groups for most components, a ratio (PUFAs and MUFAs to SFAs) for fatty acids, and the contribution to total energy for empty calories. Using binomial regression, we estimated risk differences between each component score and cases of small-for-gestational age (SGA) birth, preterm birth, preeclampsia, and gestational diabetes, controlling for total energy and scores for the other HEI-2010 components. RESULTS Higher scores for greens and beans and total vegetables were associated with fewer cases of SGA birth, preterm birth, and preeclampsia. For instance, every 1-unit increase in the greens and beans score was associated with 1.2 fewer SGA infants (95% CI, 0.7-1.7), 0.7 fewer preterm births (95% CI, 0.3-1.1), and 0.7 fewer preeclampsia cases (95% CI, 0.2-1.1) per 100 deliveries. For gestational diabetes, the associations were null. CONCLUSIONS Vegetable-rich diets were associated with fewer cases of SGA birth, preterm birth, and preeclampsia, controlling for overall diet quality. Examination of the equal weighting of the HEI components (and underlying guidance) is needed for pregnancy.
Collapse
Affiliation(s)
| | - Ashley I Naimi
- Department of Epidemiology, Emory University, Rollins School of Public Health, Atlanta, GA, USA
| | | | - Lisa M Bodnar
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| |
Collapse
|
32
|
Marshall NE, Abrams B, Barbour LA, Catalano P, Christian P, Friedman JE, Hay WW Jr, Hernandez TL, Krebs NF, Oken E, Purnell JQ, Roberts JM, Soltani H, Wallace J, Thornburg KL. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol 2022; 226:607-32. [PMID: 34968458 DOI: 10.1016/j.ajog.2021.12.035] [Citation(s) in RCA: 110] [Impact Index Per Article: 55.0] [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: 01/19/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 11/25/2022]
Abstract
Most women in the United States do not meet the recommendations for healthful nutrition and weight before and during pregnancy. Women and providers often ask what a healthy diet for a pregnant woman should look like. The message should be “eat better, not more.” This can be achieved by basing diet on a variety of nutrient-dense, whole foods, including fruits, vegetables, legumes, whole grains, healthy fats with omega-3 fatty acids that include nuts and seeds, and fish, in place of poorer quality highly processed foods. Such a diet embodies nutritional density and is less likely to be accompanied by excessive energy intake than the standard American diet consisting of increased intakes of processed foods, fatty red meat, and sweetened foods and beverages. Women who report “prudent” or “health-conscious” eating patterns before and/or during pregnancy may have fewer pregnancy complications and adverse child health outcomes. Comprehensive nutritional supplementation (multiple micronutrients plus balanced protein energy) among women with inadequate nutrition has been associated with improved birth outcomes, including decreased rates of low birthweight. A diet that severely restricts any macronutrient class should be avoided, specifically the ketogenic diet that lacks carbohydrates, the Paleo diet because of dairy restriction, and any diet characterized by excess saturated fats. User-friendly tools to facilitate a quick evaluation of dietary patterns with clear guidance on how to address dietary inadequacies and embedded support from trained healthcare providers are urgently needed. Recent evidence has shown that although excessive gestational weight gain predicts adverse perinatal outcomes among women with normal weight, the degree of prepregnancy obesity predicts adverse perinatal outcomes to a greater degree than gestational weight gain among women with obesity. Furthermore, low body mass index and insufficient gestational weight gain are associated with poor perinatal outcomes. Observational data have shown that first-trimester gain is the strongest predictor of adverse outcomes. Interventions beginning in early pregnancy or preconception are needed to prevent downstream complications for mothers and their children. For neonates, human milk provides personalized nutrition and is associated with short- and long-term health benefits for infants and mothers. Eating a healthy diet is a way for lactating mothers to support optimal health for themselves and their infants.
Collapse
|
33
|
Whyte K, Contento I, Wolf R, Guerra L, Martinez E, Pi-Sunyer X, Gallagher D. A secondary analysis of maternal ultra-processed food intake in women with overweight or obesity and associations with gestational weight gain and neonatal body composition outcomes. J Mother Child 2022; 25:244-259. [PMID: 35325513 PMCID: PMC9444195 DOI: 10.34763/jmotherandchild.20212504.d-21-00025] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/05/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND This study is an observational secondary analysis of the Lifestyle Intervention for Two (LIFT) randomised controlled trial data. There is a paucity of data related to mechanisms of health effects and dietary intake of ultra-processed foods (UPF). Earlier studies demonstrate associations between greater UPF intake and weight gain. The purpose of the study was to describe associations among maternal UPF intake with gestational weight gain (GWG) and neonatal body composition. MATERIAL AND METHODS Women with overweight or obesity (n=156) and offspring (n=126) with complete energy intake, anthropometrics and body composition measures were selected. Maternal weights and diet recalls (Automated Self-Administered 24) were measured at weeks 14 and 35 gestational age (GA). Body composition was assessed by infant quantitative magnetic resonance (infant-QMR) and air displacement plethysmography (ADP) at birth. Dependent variables were GWG and neonatal fat mass, fat-free mass, and lean mass at birth; covariates were dietary, socioeconomic and biological. Stepwise linear regressions were used to test associations. RESULTS Highest quartile of percentage of energy intake from UPF (PEI-UPF) was not significantly correlated with maternal GWG (p=0.215), infant QMR fat (p=0.816) and lean mass (p=0.423) or ADP fat (p=0.482) or fat-free mass (p=0.835). CONCLUSIONS While no significant associations with UPF were observed in this smaller size cohort, further investigations would be justified in larger cohorts on the relationships of maternal UPF intake and GWG and offspring outcomes. Clinical Trial NCT01616147.
Collapse
Affiliation(s)
- Kathryn Whyte
- New York Nutrition Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America, E-mail:
| | - Isobel Contento
- Program of Nutrition, Department of Health and Behavior Studies, Teachers College Columbia University New York, New York, New YorkUnited States of America
| | - Randi Wolf
- Program of Nutrition, Department of Health and Behavior Studies, Teachers College Columbia University New York, New York, New YorkUnited States of America
| | - Laura Guerra
- Program of Nutrition, Department of Health and Behavior Studies, Teachers College Columbia University New York, New York, New YorkUnited States of America
| | - Euridice Martinez
- Department of Nutrition, School of Public Health, University of Sao Paolo, Sao Paolo, Brazil
| | - Xavier Pi-Sunyer
- New York Nutrition Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America,Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University New York, New York, United States of America
| | - Dympna Gallagher
- New York Nutrition Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America,Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University New York, New York, United States of America
| |
Collapse
|
34
|
Schwedhelm C, Lipsky LM, Temmen CD, Nansel TR. Eating Patterns during Pregnancy and Postpartum and Their Association with Diet Quality and Energy Intake. Nutrients 2022; 14:1167. [PMID: 35334823 DOI: 10.3390/nu14061167] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 01/25/2022] [Revised: 03/02/2022] [Accepted: 03/08/2022] [Indexed: 02/05/2023] Open
Abstract
This study investigates the relationship between meal-specific eating patterns during pregnancy and postpartum with maternal diet quality and energy intake. Participants in a prospective cohort study completed 24-h dietary recalls three times throughout both pregnancy and 1 year postpartum (n = 420). Linear regressions estimated the associations of eating frequency (number of daily main meals and eating occasions), meal and energy regularity (meal skipping and variation of daily energy intake), and intake timing patterns (distribution of energy intake throughout the day, derived using principal component analysis) with daily energy intake and diet quality (Healthy Eating Index-2015, calculated daily and overall, across both pregnancy and postpartum). Eating frequency was positively associated with energy intake and daily diet quality. Irregular meals were associated with lower energy intake in pregnancy but not postpartum and with lower pregnancy and postpartum diet quality. Energy irregularity was not associated with energy intake or diet quality. Higher postpartum diet quality was associated with a morning energy intake pattern (versus late morning/early afternoon or evening). Differences in these associations between pregnancy and postpartum suggest that efforts to support optimal energy intake and diet quality by modifying eating patterns may require specific strategies for pregnancy and postpartum.
Collapse
|
35
|
Mikeš O, Brantsæter AL, Knutsen HK, Torheim LE, Bienertová Vašků J, Pruša T, Čupr P, Janák K, Dušek L, Klánová J. Dietary patterns and birth outcomes in the ELSPAC pregnancy cohort. J Epidemiol Community Health 2021; 76:613-619. [PMID: 34921058 DOI: 10.1136/jech-2020-215716] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/29/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES The aim of this study was to identify dietary patterns in a Czech pregnancy cohort established in the early postcommunist era and investigate associations between dietary patterns, maternal characteristics and birth outcomes. METHODS Pregnant women were recruited for the Czech part of the European Longitudinal Study of Pregnancy and Childhood. A self-reported questionnaire answered in late pregnancy was used to assess information about the weekly intake of 43 food items. Information about birth outcomes (birth weight, height, ponderal index, head circumference, cephalisation index, gestational length and Apgar score) was obtained from the National Registry of Newborns. Complete details on diet and birth outcomes were available for 4320 mother-infant pairs. RESULTS AND CONCLUSION The food items were aggregated into 28 variables and used for extraction of two dietary patterns by principal component factor analysis. The patterns were denoted 'unhealthy' and 'healthy/traditional' based on the food items with the highest factor loadings on each pattern. The 'unhealthy' pattern had high positive loadings on meat, processed food and confectionaries. In contrast, the 'healthy/traditional' pattern had high positive loadings on vegetables, dairy, fruits and wholemeal bread. Following adjustment for covariates, we found that high adherence to the unhealthy pattern (expressed as beta for 1 unit increase in pattern score), that is, the higher consumption of less healthy foods, was associated with lower birth weight: -23.8 g (95% CI -44.4 to -3.2) and length: -0.10 cm (95% CI -0.19 to -0.01) and increased cephalisation index: 0.91 μm/g (95% CI 0.23 to 1.60). The 'healthy/traditional' pattern was not associated with any birth outcomes. This study supports the recommendation to eat a healthy and balanced diet during pregnancy.
Collapse
Affiliation(s)
- Ondřej Mikeš
- RECETOX, Masaryk University Faculty of Science, Brno, Czech Republic
| | - Anne Lise Brantsæter
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Helle Katrine Knutsen
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Liv Elin Torheim
- Department of Nursing and Health Promotion, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Tomáš Pruša
- RECETOX, Masaryk University Faculty of Science, Brno, Czech Republic.,Department of Public Health, Masaryk University Faculty of Medicine, Brno, Czech Republic
| | - Pavel Čupr
- RECETOX, Masaryk University Faculty of Science, Brno, Czech Republic
| | - Karel Janák
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ladislav Dušek
- RECETOX, Masaryk University Faculty of Science, Brno, Czech Republic.,Institute of Biostatistics and Analyses, Masaryk University Faculty of Medicine, Brno, Czech Republic
| | - Jana Klánová
- RECETOX, Masaryk University Faculty of Science, Brno, Czech Republic
| |
Collapse
|
36
|
Hinkle SN, Li M, Grewal J, Yisahak SF, Grobman WA, Newman RB, Wing DA, Grantz KL, Zhang C. Changes in Diet and Exercise in Pregnant Women after Diagnosis with Gestational Diabetes: Findings from a Longitudinal Prospective Cohort Study. J Acad Nutr Diet 2021; 121:2419-2428.e4. [PMID: 34023277 PMCID: PMC8599498 DOI: 10.1016/j.jand.2021.04.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 06/15/2020] [Revised: 04/06/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Lifestyle changes are recommended for women diagnosed with gestational diabetes mellitus (GDM), yet there are few data available documenting whether women change their diet and exercise after GDM diagnosis. OBJECTIVE The aim of this study was to assess whether, and to what extent, pregnant women receiving usual prenatal care change their diet and exercise after a GDM diagnosis. DESIGN This study was a post-hoc secondary analysis using data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singletons (2009-2013), a prospective pregnancy cohort study. PARTICIPANTS/SETTING Pregnant US women without major chronic medical conditions were enrolled from 12 participating hospital centers at 8 to 13 weeks' gestation. Diet analyses were based on 5,194 dietary recalls from 1,371 women. Exercise analyses were based on 6,440 physical activity assessments from 1,875 women. GDM was ascertained from medical records according to Carpenter and Coustan criteria. Women completed 24-hour dietary recalls and exercise assessments at weeks 16 to 22, 24 to 29, 30 to 33, 34 to 37, and 38 to 41 (exercise only). MAIN OUTCOME MEASURES The main outcome was the diet and exercise change from before to after GDM diagnosis or screening. STATISTICAL ANALYSES Diet and exercise changes with 95% CIs from before to after GDM diagnosis or screening for women with and without GDM were estimated using weighted multivariable linear mixed models. RESULTS Women with GDM (n = 72) significantly reduced their total energy intake (-184 kcal/d; 95% CI -358 to -10 kcal/d) and carbohydrate intake (-47.6 g/d; 95% CI -71.4 to -23.7 g/d) from before to after GDM diagnosis; these changes were unique to women with GDM and not observed among women without GDM (n = 1,299). Women with GDM decreased intakes of juice (-0.4 cups/d; 95% CI -0.7 to -0.2 cups/d) and added sugar (-3.2 teaspoons/d; 95% CI -5.5 to -0.5 teaspoons/d) and increased cheese (0.3 cups/d; 95% CI 0.1 to 0.6 cups/d) and artificially sweetened beverages (0.2 cups/d; 95% CI 0.0 to 0.3 cups/d). Women with GDM (n = 84) did not change their exercise duration after diagnosis; women without GDM (n = 1,791) significantly decreased moderate (-19.5 min/wk; 95% CI -24.7 to -14.3 min/wk) and vigorous exercise (-8.8 min/wk; 05% CI -10.6 to -6.9 min/wk) after GDM screening. CONCLUSIONS Women with GDM made modest dietary improvements and maintained their prediagnosis exercise routine, yet opportunities remain to further improve dietary intake and exercise after a diagnosis of GDM.
Collapse
Affiliation(s)
- Stefanie N Hinkle
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
| | - Mengying Li
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Jagteshwar Grewal
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Samrawit F Yisahak
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - William A Grobman
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Roger B Newman
- Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC
| | - Deborah A Wing
- Korn Ferry, Los Angeles, CA; Department of Obstetrics-Gynecology, University of California, Irvine, School of Medicine, Orange, CA; Miller Children' s and Women's Hospital Long Beach/Long Beach Memorial Medical Center, Long Beach, CA
| | - Katherine L Grantz
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Cuilin Zhang
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
| |
Collapse
|
37
|
Ventura AK, Phelan S, Silva Garcia K. Maternal Diet During Pregnancy and Lactation and Child Food Preferences, Dietary Patterns, and Weight Outcomes: a Review of Recent Research. Curr Nutr Rep 2021; 10:413-426. [PMID: 34383279 DOI: 10.1007/s13668-021-00366-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW Efforts to promote children's preferences for healthy foods hold much potential for improving diet quality and preventing obesity. The purpose of this review was to summarize recent evidence for associations between maternal diet during pregnancy and lactation and child food preferences, dietary patterns, and weight outcomes. RECENT FINDINGS Recent research illustrates greater maternal vegetable intakes during pregnancy and lactation predict greater child preferences for and intakes of vegetables. Recent randomized clinical trials to improve maternal weight outcomes during the perinatal period via behavioral lifestyle interventions that included dietary components have yielded mixed findings for effects on child weight outcomes. There is strong evidence that maternal diet during pregnancy and lactation shapes flavor preferences during infancy; more research is needed to understand factors that facilitate versus hinder the translation of these preferences to later dietary patterns and weight outcomes.
Collapse
Affiliation(s)
- Alison K Ventura
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA.
| | - Suzanne Phelan
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA
| | - Karina Silva Garcia
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA
| |
Collapse
|
38
|
Francis EC, Dabelea D, Boyle KE, Jansson T, Perng W. Maternal Diet Quality Is Associated with Placental Proteins in the Placental Insulin/Growth Factor, Environmental Stress, Inflammation, and mTOR Signaling Pathways: The Healthy Start ECHO Cohort. J Nutr 2021; 152:816-825. [PMID: 34850052 PMCID: PMC8891174 DOI: 10.1093/jn/nxab403] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/19/2021] [Accepted: 11/23/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Maternal nutritional status affects placental function, which may underlie the intrauterine origins of obesity and diabetes. The extent to which diet quality is associated with placental signaling and which specific pathways are impacted is unknown. OBJECTIVES To examine sex-specific associations of maternal diet quality according to the Healthy Eating Index (HEI)-developed to align with recommendations from the Dietary Guidelines for Americans-with placental proteins involved in metabolism and mediators of environmental stress, inflammation, and growth factors. METHODS Among 108 women from the Healthy Start cohort with a mean ± SD age of 29.0 ± 6.1 y and a prepregnancy BMI (in kg/m2) of 24.8 ± 5.3, we conducted multivariable linear regression analysis stratified by offspring sex. We adjusted for maternal race or ethnicity, age, education, prenatal smoking habits, and physical activity and tested for an association of maternal HEI >57 compared with ≤57 and the abundance and phosphorylation of key proteins involved in insulin/growth factor signaling; mediators of environmental stress, inflammation, and growth factors; mechanistic target of rapamycin signaling proteins; and energy sensing in placental villus samples. HEI >57 was chosen given its prior relevance among Healthy Start mother-child dyads. RESULTS In adjusted models, HEI >57 was associated with greater abundance of insulin receptor β (0.80; 95% CI: 0.11, 1.49) in placentas of females. In males, maternal HEI >57 was associated with greater activation and abundance of select placental nutrient-sensing proteins and environmental stress, inflammation, and growth factor proteins (S6K1Thr389/S6K1: 0.81; 95% CI: 0.21, 1.41; JNK1Thr183/Tyr185/JNK1: 0.82; 95% CI: 0.27, 1.37; JNK2Thr183/Tyr185/JNK2: 0.57; 95% CI: 0.02, 1.11). CONCLUSIONS Higher-quality diet had sex-specific associations with placental protein abundance/phosphorylation. Given that these proteins have been correlated with neonatal anthropometry, our findings provide insight into modifiable factors and placental pathways that should be examined in future studies as potential links between maternal diet and offspring metabolic health. This trial was registered at clinicaltrials.gov as NCT02273297.
Collapse
Affiliation(s)
| | - Dana Dabelea
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA,Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA,Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Kristen E Boyle
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA,Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Thomas Jansson
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA,Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Deptartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| |
Collapse
|
39
|
Francis EC, Dabelea D, Shankar K, Perng W. Maternal diet quality during pregnancy is associated with biomarkers of metabolic risk among male offspring. Diabetologia 2021; 64:2478-2490. [PMID: 34370046 PMCID: PMC8499858 DOI: 10.1007/s00125-021-05533-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 05/25/2021] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS Limited data exist on the association between maternal diet quality during pregnancy and metabolic traits in offspring during early childhood, which is a sensitive period for risk of obesity-related disorders later in life. We aimed to examine the association of maternal diet quality, as indicated by the Healthy Eating Index-2010 (HEI), in pregnancy with offspring metabolic biomarkers and body composition at age 4-7 years. METHODS We used data from 761 mother-offspring pairs from the Healthy Start study to examine sex-specific associations of HEI >57 vs ≤57 with offspring fasting glucose, leptin, cholesterol, HDL, LDL, percentage fat mass, BMI z score and log-transformed insulin, 1/insulin, HOMA-IR, adiponectin, triacylglycerols, triacylglycerols:HDL, fat mass, and sum of skinfolds. Multivariable linear regression models accounted for maternal race/ethnicity, age, education, smoking habits during pregnancy and physical activity, and child's age. RESULTS During pregnancy, mean (SD) HEI score was 55.0 (13.3), and 43.0% had an HEI score >57. Among boys, there was an inverse association of maternal HEI with offspring glucose, insulin, HOMA-IR and adiponectin. For instance, maternal HEI >57 was associated with lower fasting glucose (-0.11; 95% CI -0.20, -0.02 mmol/l), and lower concentrations of: insulin by 15.3% (95% CI -24.6, -5.0), HOMA-IR by 16.3% (95% CI -25.7, -5.6) and adiponectin by 9.3% (95% CI -16.1, -2.0). Among girls, there was an inverse association of maternal HEI with insulin and a positive association with LDL. However, following covariate adjustment, all estimates among girls were attenuated to the null. CONCLUSIONS/INTERPRETATION Greater compliance with the USA Dietary Guidelines via the HEI may improve the maternal-fetal milieu and decrease susceptibility for poor metabolic health among offspring, particularly boys. Future studies are warranted to confirm these associations and determine the underlying mechanisms.
Collapse
Affiliation(s)
- Ellen C Francis
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Kartik Shankar
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Nutritional Sciences, University of Michigan SPH, Ann Arbor, MI, USA
| |
Collapse
|
40
|
Cohen CC, Perng W, Sundaram SS, Scherzinger A, Shankar K, Dabelea D. Hepatic Fat in Early Childhood Is Independently Associated With Estimated Insulin Resistance: The Healthy Start Study. J Clin Endocrinol Metab 2021; 106:3140-3150. [PMID: 34289064 PMCID: PMC8530740 DOI: 10.1210/clinem/dgab541] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Fatty liver disease is a common metabolic abnormality in adolescents with obesity but remains understudied in early childhood. OBJECTIVES To describe hepatic fat deposition in prepubertal children and examine cross-sectional associations with metabolic markers and body composition. METHODS Data were from 286 children ages 4 to 8 years old in the Healthy Start Study, a longitudinal prebirth cohort in Colorado (USA). Assessments included magnetic resonance imaging to quantify hepatic and abdominal fats, fasting blood draws to measure metabolic markers, and air displacement plethysmography to measure body composition (fat mass and fat-free mass). RESULTS The median (interquartile range) for hepatic fat was 1.65% (1.24%, 2.11%). Log-transformed hepatic fat was higher in Hispanic [mean (95% CI): 0.63 (0.52, 0.74)] vs non-Hispanic white children [0.46 (0.38, 0.53), P = 0.01] and children with overweight/obesity [0.64 (0.49, 0.79)] vs normal-weight [0.47 (0.40, 0.53), P = 0.02]. Higher log-hepatic fat was associated with higher insulin [β (95% CI): 1.47 (0.61, 2.33) uIU/mL, P = 0.001] and estimated insulin resistance (homeostatic model assessment) [0.40 (0.20, 0.60), P < 0.001] in the full sample and glucose [5.53 (2.84, 8.21) mg/dL, P < 0.001] and triglycerides [10.92 (2.92,18.91) mg/dL, P = 0.008] in boys, in linear regression models adjusted for sociodemographics, maternal/perinatal confounders, and percentage body fat. Log-hepatic fat was also associated with abdominal subcutaneous adipose tissue [SAT; 7.37 (1.12,13.60) mm2, P = 0.02] in unadjusted models, but this was attenuated and insignificant after adjusting for confounders. CONCLUSIONS While hepatic fat was low in children 4 to 8 years old, it was independently associated with estimated insulin resistance and exhibited sex-specific associations with glucose and triglycerides, suggesting hepatic fat may be an early indicator of metabolic dysfunction in youth.
Collapse
Affiliation(s)
- Catherine C Cohen
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Shikha S Sundaram
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Ann Scherzinger
- Department of Radiology, University of Colorado, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Kartik Shankar
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Correspondence: Dana Dabelea, MD, PhD, 13001 East 17th Ave, Box B119, Room W3110, Aurora, CO 80045, USA.
| |
Collapse
|
41
|
Cui Y, Liao M, Xu A, Chen G, Liu J, Yu X, Li S, Ke X, Tan S, Luo Z, Wang Q, Liu Y, Wang D, Zeng F. Association of maternal pre-pregnancy dietary intake with adverse maternal and neonatal outcomes: A systematic review and meta-analysis of prospective studies. Crit Rev Food Sci Nutr 2021:1-22. [PMID: 34666569 DOI: 10.1080/10408398.2021.1989658] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This study aimed to summarize the evidence regarding the effects of dietary intake before conception on pregnancy outcomes by performing a systematic review and meta-analysis of prospective studies. Electronic databases were searched from inception up to August 2021. Overall, 65 studies involving 831 798 participants were included and 38 studies were quantitatively pooled. With regard to maternal outcomes, pre-pregnancy intake of fried food, fast food, red and processed meat, heme iron and a low-carbohydrate dietary pattern was positively associated with the risk of gestational diabetes mellitus (GDM) (all P < 0.05). However, a high dietary fiber intake and folic acid supplementation were negatively associated with GDM risk (both P < 0.05). With regard to neonatal outcomes, maternal caffeine intake before pregnancy significantly increased the risk of spontaneous abortion, while folic acid supplementation had protective effects on total adverse neonatal outcomes, preterm birth, and small-for-gestational age (SGA, all P < 0.05). However, no significant associations were found between adverse pregnancy outcomes (i.e., GDM and SGA) and the pre-pregnancy dietary intake of sugar-sweetened beverages, potato, fish, and carbohydrates and the Healthy Eating Index. Our study suggests that maintaining a healthy diet before conception has significant beneficial effects on pregnancy outcomes.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.1989658.
Collapse
Affiliation(s)
- Yunfeng Cui
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Minqi Liao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Aihua Xu
- Department of Gynaecology and Obstetrics, Ganzhou Maternal and Child Health Hospital, Ganzhou, China
| | - Gengdong Chen
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Jun Liu
- Department of Preventive Medicine Laboratory, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Xiaoxuan Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Shuna Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xingyao Ke
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Sixian Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zeyan Luo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Qian Wang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yanhua Liu
- Department of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Donghong Wang
- Department of Gynaecology and Obstetrics, Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| |
Collapse
|
42
|
Ruebel ML, Gilley SP, Sims CR, Zhong Y, Turner D, Chintapalli SV, Piccolo BD, Andres A, Shankar K. Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy. Nutrients 2021; 13:3295. [PMID: 34579172 PMCID: PMC8468685 DOI: 10.3390/nu13093295] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 08/27/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 12/22/2022] Open
Abstract
Maternal body composition, gestational weight gain (GWG) and diet quality influence offspring obesity risk. While the gut microbiome is thought to play a crucial role, it is understudied in pregnancy. Using a longitudinal pregnancy cohort, maternal anthropometrics, body composition, fecal microbiome and dietary intake were assessed at 12, 24 and 36 weeks of gestation. Fecal samples (n = 101, 98 and 107, at each trimester, respectively) were utilized for microbiome analysis via 16S rRNA amplicon sequencing. Data analysis included alpha- and beta-diversity measures and assessment of compositional changes using MaAsLin2. Correlation analyses of serum metabolic and anthropometric markers were performed against bacterial abundance and predicted functional pathways. α-diversity was unaltered by pregnancy stage or maternal obesity status. Actinobacteria, Lachnospiraceae, Akkermansia, Bifidobacterium, Streptococcus and Anaerotuncus abundances were associated with gestation stage. Maternal obesity status was associated with increased abundance of Lachnospiraceae, Bilophila, Dialister and Roseburia. Maternal BMI, fat mass, triglyceride and insulin levels were positively associated with Bilophila. Correlations of bacterial abundance with diet intake showed that Ruminococcus and Paraprevotella were associated with total fat and unsaturated fatty acid intake, while Collinsella and Anaerostipes were associated with protein intake. While causal relationships remain unclear, collectively, these findings indicate pregnancy- and maternal obesity-dependent interactions between dietary factors and the maternal gut microbiome.
Collapse
Affiliation(s)
- Meghan L. Ruebel
- Department of Pediatrics, Section of Nutrition, Anschutz Medical Campus, School of Medicine, University of Colorado, Aurora, CO 80045, USA; (M.L.R.); (S.P.G.)
| | - Stephanie P. Gilley
- Department of Pediatrics, Section of Nutrition, Anschutz Medical Campus, School of Medicine, University of Colorado, Aurora, CO 80045, USA; (M.L.R.); (S.P.G.)
| | - Clark R. Sims
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
- Department of Pediatrics, Section of Developmental Nutrition, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Ying Zhong
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
| | - Donald Turner
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
| | - Sree V. Chintapalli
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
- Department of Pediatrics, Section of Developmental Nutrition, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Brian D. Piccolo
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
- Department of Pediatrics, Section of Developmental Nutrition, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Aline Andres
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA; (C.R.S.); (Y.Z.); (D.T.); (S.V.C.); (B.D.P.); (A.A.)
- Department of Pediatrics, Section of Developmental Nutrition, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Kartik Shankar
- Department of Pediatrics, Section of Nutrition, Anschutz Medical Campus, School of Medicine, University of Colorado, Aurora, CO 80045, USA; (M.L.R.); (S.P.G.)
| |
Collapse
|
43
|
Lecorguillé M, Teo S, Phillips CM. Maternal Dietary Quality and Dietary Inflammation Associations with Offspring Growth, Placental Development, and DNA Methylation. Nutrients 2021; 13:3130. [PMID: 34579008 DOI: 10.3390/nu13093130] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/31/2021] [Accepted: 09/04/2021] [Indexed: 12/14/2022] Open
Abstract
The ‘Developmental Origins of Health and Diseases’ hypothesis posits that prenatal maternal diet influences offspring growth and later life health outcomes. Dietary assessment has focused on selected nutrients. However, this approach does not consider the complex interactions between foods and nutrients. To provide a more comprehensive approach to public health, dietary indices have been developed to assess dietary quality, dietary inflammation and risk factors for non-communicable diseases. Thus far, their use in the context of placental development is limited and associations with offspring outcomes have been inconsistent. Although epidemiological studies have focused on the role of maternal diet on foetal programming, the underlying mechanisms are still poorly understood. Some evidence suggests these associations may be driven by placental and epigenetic changes. In this narrative review, we examine the current literature regarding relationships between key validated diet quality scores (Dietary Inflammatory Index [DII], Mediterranean diet [MD], Healthy Eating Index [HEI], Alternative Healthy Eating Index [AHEI], Dietary Approaches to Stop Hypertension [DASH], Glycaemic Index [GI] and Glycaemic Load [GL]) in pregnancy and birth and long-term offspring outcomes. We summarise findings, discuss potential underlying placental and epigenetic mechanisms, in particular DNA methylation, and highlight the need for further research and public health strategies that incorporate diet quality and epigenetics.
Collapse
|
44
|
Tabasso C, Mallardi D, Corti Y, Perrone M, Piemontese P, Liotto N, Menis C, Roggero P, Mosca F. Adherence to the Mediterranean diet and body composition of breast-feeding mothers: the potential role of unsaturated fatty acids. J Nutr Sci 2021; 10:e63. [PMID: 34457245 DOI: 10.1017/jns.2021.60] [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: 04/14/2021] [Revised: 07/19/2021] [Accepted: 07/22/2021] [Indexed: 01/23/2023] Open
Abstract
A paucity of evidence is available regarding the impact of diet's quality during pregnancy and lactation on the body composition of breast-feeding mothers. The purpose of the present study was to evaluate the association between maternal degree of adherence to the Mediterranean diet (MD) and body composition measures specifically those relating to body fat, in the lactation period. A cross-sectional study on healthy mothers of full-term babies has been conducted. At 30 ± 10 d after delivery, anthropometric measurements and body composition were assessed. A food frequency questionnaire was performed to compute the Italian Mediterranean Index (IMI) score as an index of adherence to the MD. Data related to pregnancy such as pre-pregnancy weight, gestational weight gain and morbidities were also collected. The 147 mothers included were categorised in IMI-1 (IMI score < 5; n 92) and IMI-2 (IMI score ≥ 5; n 55) groups. IMI-2 mothers showed higher daily energy, total carbohydrates, starch and fibre intakes than IMI-1. The dietary habits of IMI-2 mothers reflect the typical characteristics of MD: they consumed higher quantities of proteins and lipids of vegetal origin, higher amounts of monounsaturated and polyunsaturated fatty acids (PUFAs) and lower saturated to PUFAs ratio. The IMI-2 group showed lower absolute fat mass and fat mass index compared to IMI-1 [(20⋅2 ± 5⋅9) v. (22⋅9 ± 8⋅4) kg; P 0⋅036 and (7⋅5 ± 2⋅2) v. (8⋅5 ± 3⋅1) kg/m2; P 0⋅036, respectively], whereas body weight [(61⋅1 ± 8⋅0) v. (63⋅3 ± 9⋅2) kg] and body mass index [(22⋅4 ± 2⋅6) v. (23⋅3 ± 3⋅5) kg/m2] were similar. The degree of adherence to the MD during pregnancy and lactation is positively associated with lower maternal fat deposition in the breast-feeding period. The higher quality of dietary lipids, probably in synergy with the assumption of starchy carbohydrates and fibre, could influence maternal body fat.
Collapse
|
45
|
Hardy I, Lloyd A, Morisset AS, Camirand Lemyre F, Baillargeon JP, Fraser WD. Healthy for My Baby Research Protocol- a Randomized Controlled Trial Assessing a Preconception Intervention to Improve the Lifestyle of Overweight Women and Their Partners. Front Public Health 2021; 9:670304. [PMID: 34414154 PMCID: PMC8369366 DOI: 10.3389/fpubh.2021.670304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 07/05/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Preconception lifestyle interventions appear promising to reduce pregnancy complications, prevent adult cardiometabolic diseases, and prevent childhood obesity. These interventions have almost exclusively been studied in populations of obese infertile women. The development of preconception lifestyle interventions targeting a broader population of overweight and obese women without a history infertility and their partners is needed. Methods: This study is a multicenter open label parallel group randomized controlled trial. Sixty-eight non-infertile women with overweight or obesity in the preconception period and their partners will be recruited from the Sherbrooke and Quebec City regions. The couples will be randomized in a 1:1 ratio to receive the Healthy for my Baby intervention or standard care in the preconception period and pregnancy. Women and their partners will be invited to take part in this lifestyle intervention which includes motivational interviews and daily self-monitoring of lifestyle goals through a mobile phone application. The primary endpoint of this study is the diet quality of women during the preconception period, which will be evaluated using the C-HEI 2007 score at baseline, 2, 4- and 6-months following study enrolment. Women's dietary quality will also be evaluated through the measure of urinary biomarkers of habitual dietary intake at baseline and 2 months in preconception, and 24–26 weeks in pregnancy. Additional indicators of women's lifestyle as well as anthropometric measures will be documented in preconception and pregnancy. For the pregnancy period, the main secondary endpoint is the pattern of gestational weight gain. Pregnancy and neonatal complications will also be evaluated. For partners, diet quality, other lifestyle habits, and anthropometric measures will be documented in the preconception and pregnancy periods. Discussion: This study will evaluate the effectiveness of a low-cost intervention designed to improve diet and other lifestyle characteristics of women in the preconception period who are overweight or obese. If the Healthy for my Baby intervention is efficacious regarding dietary measures, larger trials will be needed to evaluate the impact of this intervention on the rates of pregnancy complications, childhood obesity, and adult cardiometabolic disease. Clinical Trial Registration:clinicaltrials.gov (NCT04242069).
Collapse
Affiliation(s)
- Isabelle Hardy
- Department of Obstetrics and Gynecology, University of Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, Canada
| | - Amanda Lloyd
- Institute of Biological, Environmental, and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Anne-Sophie Morisset
- School of Nutrition, Faculty of Agricultural and Food Science, Laval University, Laval, QC, Canada
| | - Felix Camirand Lemyre
- Department of Mathematics, University of Sherbrooke and CRCHUS, Sherbrooke, QC, Canada
| | - Jean-Patrice Baillargeon
- Endocrine Division, Department of Medicine, University of Sherbrooke and CRCHUS, Sherbrooke, QC, Canada
| | - William D Fraser
- Department of Obstetrics and Gynecology, University of Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, Canada
| |
Collapse
|
46
|
Miller CB, Benny P, Riel J, Boushey C, Perez R, Khadka V, Qin Y, Maunakea AK, Lee MJ. Adherence to Mediterranean diet impacts gastrointestinal microbial diversity throughout pregnancy. BMC Pregnancy Childbirth 2021; 21:558. [PMID: 34399704 PMCID: PMC8369757 DOI: 10.1186/s12884-021-04033-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/03/2021] [Indexed: 12/15/2022] Open
Abstract
Background Consumption of a diet with high adherence to a Mediterranean diet pattern (MDP) has been associated with a favorable gastrointestinal tract (GIT) microbiome. A healthy GIT microbiome in pregnancy, as defined by increased alpha diversity, is associated with lower chance of adverse perinatal outcomes. This study aimed to evaluate the impact of adherence to an MDP on GIT microbial diversity longitudinally throughout pregnancy. Methods Adherence to MDP was scored by the Alternate Mediterranean (aMED) Diet Quality Score, after being applied to a validated Food Frequency Questionnaire. Association of aMED Scores with GIT alpha diversity profiles were compared linearly and across time using a linear mixed model, including covariates of age, body mass index (BMI), ethnicity, and parity. Results Forty-one participants of Filipino, Japanese, Native Hawaiian, and Non-Hispanic White descent provided dietary information and microbiome samples during each trimester of pregnancy. Alpha diversity profiles changed over gestation, with decreased microbial diversity in the third trimester. aMED scores positively correlated with Chao1 Index and Observed Species Number (r = 0.244, p = 0.017, and r = 0.233, p = 0.023, respectively). The strongest association was detected in the third trimester (Chao 1: r = 0.43, p = 0.020, Observed Species Number: r = 0.41, p = 0.026). Participants with higher aMED scores had higher relative abundance of Acidaminoacaeae at the family level (p = 0.0169), as well as higher abundance of several species known to increase production of short chain fatty acids within the GIT. Conclusions Adherence to MDP pattern is associated with increased maternal GIT microbial diversity, and promotes the abundance of bacteria that produce short chain fatty acids. Increased consumption of fruits, vegetables and legumes with low red meat consumption were key components driving this association. The effect of nutrition however, was less of an effect than pregnancy itself. Further studies are needed to determine if adherence to a Mediterranean diet translates not only into microbial health, but also into reduced risk of adverse pregnancy outcomes. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-04033-8.
Collapse
Affiliation(s)
- Corrie B Miller
- John A Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, USA. .,John A. Burns School of Medicine, Department of Obstetrics, Gynecology and Women's Health, 1319 Punahou Street, Suite 824, Honolulu, HI, 96826, USA.
| | - Paula Benny
- John A Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, USA.,John A. Burns School of Medicine, Department of Obstetrics, Gynecology and Women's Health, 1319 Punahou Street, Suite 824, Honolulu, HI, 96826, USA
| | - Jonathan Riel
- John A Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, USA.,John A. Burns School of Medicine, Department of Obstetrics, Gynecology and Women's Health, 1319 Punahou Street, Suite 824, Honolulu, HI, 96826, USA
| | - Carol Boushey
- University of Hawai'i Cancer Center, Epidemiology Program, 701 Ilalo Street Room 525, Honolulu, HI, 96813, USA
| | - Rafael Perez
- Epigenomics Research Program, BSB-222K (office)/BSB-228 (lab), 651 Ilalo Street, Honolulu, HI, 96813, USA
| | - Vedbar Khadka
- John A. Burns School of Medicine Department of Quantitative Health Sciences, 651 Ilalo Street, Medical Education Building Suite 411, Honolulu, HI, 96813, USA
| | - Yujia Qin
- John A. Burns School of Medicine Department of Quantitative Health Sciences, 651 Ilalo Street, Medical Education Building Suite 411, Honolulu, HI, 96813, USA
| | - Alika K Maunakea
- Epigenomics Research Program, BSB-222K (office)/BSB-228 (lab), 651 Ilalo Street, Honolulu, HI, 96813, USA
| | - Men-Jean Lee
- John A Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, USA.,John A. Burns School of Medicine, Department of Obstetrics, Gynecology and Women's Health, 1319 Punahou Street, Suite 824, Honolulu, HI, 96826, USA
| |
Collapse
|
47
|
Nagel EM, Jacobs D, Johnson KE, Foster L, Duncan K, Kharbanda EO, Gregg B, Harnack L, Fields DA, Demerath EW. Maternal Dietary Intake of Total Fat, Saturated Fat, and Added Sugar Is Associated with Infant Adiposity and Weight Status at 6 mo of Age. J Nutr 2021; 151:2353-2360. [PMID: 33982119 PMCID: PMC8435996 DOI: 10.1093/jn/nxab101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 01/26/2021] [Revised: 02/25/2021] [Accepted: 03/16/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Whether current dietary guidelines are appropriate for pregnancy and lactation has not been well studied. Many women of reproductive age are not meeting recommendations for dietary components such as fat, added sugar, and fiber. OBJECTIVES To assess associations between maternal dietary components during pregnancy and lactation and infant growth and adiposity at 6 mo of age. METHODS Mother-infant dyads (n = 349) from the prospective, observational Mothers and Infants Linked for Healthy Growth study were included (100% fully breastfed for 1 mo; 75% to 6 mo). Daily intake of fat, fiber, and added sugar was obtained using the National Cancer Institute Diet History Questionnaire II during the third trimester of pregnancy and at 1 and 3 mo postpartum. Furthermore, intakes were categorized as meeting/exceeding 2015-2020 Dietary Guidelines for Americans. Multiple linear regression models adjusted for numerous potential confounders tested relations between dietary components and infant adiposity (via DXA) and growth parameters. Regression coefficients (β) for continuous variables were expressed per SD to allow for comparison of effect sizes. RESULTS Maternal intake of total fat and saturated fat was positively associated with infant percent body fat (%BF) (β: 0.84 per SD, P = 0.04; β: 0.96 per SD, P = 0.01, respectively). Added sugar intake was positively associated with infant weight-for-length z score (β: 0.16 per SD, P = 0.02), and excessive added sugar intake was positively associated with %BF at 6 mo (β: 0.75 per SD, P = 0.05). CONCLUSIONS In a predominantly fully breastfeeding cohort of women, maternal intake of fat and added sugar during pregnancy and lactation were associated with small increases in infant adiposity and relative weight at 6 mo. Additional research is needed to determine if these relations persist later in infancy and if such elevations in adiposity are important for long-term obesity risk.
Collapse
Affiliation(s)
- Emily M Nagel
- School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| | - David Jacobs
- School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| | - Kelsey E Johnson
- Department of Genetics, Cell Biology, and Development, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| | - Laurie Foster
- School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| | - Katy Duncan
- Department of Pediatrics, University of Oklahoma College of Medicine, Oklahoma City, OK, USA
| | | | - Brigid Gregg
- Division of Pediatric Endocrinology, University of Michigan, Ann Arbor, MI, USA
| | - Lisa Harnack
- School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| | - David A Fields
- Department of Pediatrics, University of Oklahoma College of Medicine, Oklahoma City, OK, USA
| | - Ellen W Demerath
- School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN, USA
| |
Collapse
|
48
|
Schwedhelm C, Lipsky LM, Shearrer GE, Betts GM, Liu A, Iqbal K, Faith MS, Nansel TR. Using food network analysis to understand meal patterns in pregnant women with high and low diet quality. Int J Behav Nutr Phys Act 2021; 18:101. [PMID: 34301273 PMCID: PMC8306349 DOI: 10.1186/s12966-021-01172-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 12/22/2020] [Accepted: 07/13/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyzed at the meal level. This study investigated food networks across meals in pregnant women and explored differences by overall diet quality classification. METHODS Women were asked to complete three 24-h dietary recalls throughout pregnancy (n = 365) within a prospective cohort study in the US. Pregnancy diet quality was evaluated using the Healthy Eating Index-2015 (HEI, range 0-100), calculated across pregnancy. Networks from 40 food groups were derived for women in the highest and lowest HEI tertiles at each participant-labeled meal (i.e., breakfast, lunch, dinner, snacks) using Gaussian graphical models. Network composition was qualitatively compared across meals and between HEI tertiles. RESULTS In both HEI tertiles, breakfast food combinations comprised ready-to-eat cereals with milk, quick breads with sweets (e.g., pancakes with syrup), and bread with cheese and meat. Vegetables were consumed at breakfast among women in the high HEI tertile only. Combinations at lunch and dinner were more varied, including vegetables with oils (e.g., salads) in the high tertile and sugary foods with nuts, fruits, and milk in the low tertile at lunch; and cooked grains with fats (e.g., pasta with oil) in the high tertile and potatoes with vegetables and meat in the low tertile at dinner. Fried potatoes, sugar-sweetened beverages, and sandwiches were consumed together at all main meals in the low tertile only. Foods were consumed individually at snacks in both tertiles; the most commonly consumed food were fruits in the high HEI tertile and cakes & cookies in the low tertile. CONCLUSIONS In this cohort of pregnant women, food network analysis indicated that food combinations differed by meal and between HEI tertiles. Meal-specific patterns that differed between diet quality tertiles suggest potential targets to improve food choices at meals; the impact of meal-based dietary modifications on intake of correlated foods and on overall diet quality should be investigated in simulations and intervention studies. TRIAL REGISTRATION PEAS was registered with number NCT02217462 in Clinicaltrials.gov on August 13, 2014.
Collapse
Affiliation(s)
- Carolina Schwedhelm
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
- Present address: Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Robert-Rössle-Straße 10, 13125, Berlin, Germany.
| | - Leah M Lipsky
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Grace E Shearrer
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Grace M Betts
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Aiyi Liu
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Khalid Iqbal
- Department of Human Nutrition, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Myles S Faith
- Department of Counseling, School and Educational Psychology, University at Buffalo Graduate School of Education, Buffalo, NY, USA
| | - Tonja R Nansel
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| |
Collapse
|
49
|
Perng W, Francis EC, Schuldt C, Barbosa G, Dabelea D, Sauder KA. Pre- and Perinatal Correlates of Ideal Cardiovascular Health during Early Childhood: A Prospective Analysis in the Healthy Start Study. J Pediatr 2021; 234:187-194. [PMID: 33741366 PMCID: PMC8238850 DOI: 10.1016/j.jpeds.2021.03.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/05/2021] [Accepted: 03/10/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To characterize prevalence of ideal cardiovascular health (ICVH) during early childhood (4-7 years of age), and to identify pre- and perinatal biological, sociodemographic, metabolic, and behavioral correlates of ICVH. STUDY DESIGN Among 350 mother-child pairs in the Healthy Start Study, we defined ICVH as no exposure to second hand smoke; ≥1 hour/day of moderate-to-vigorous physical activity; body mass index ≤85th percentile; systolic and diastolic blood pressure <90th percentile; cholesterol <170 mg/dL, fasting glucose <100 mg/dL; and healthy diet, per the American Heart Association. Pre- and perinatal characteristics were obtained from questionnaires, medical records, and in-person visits. Because of low prevalence of ICVH, we focused on prevalence of meeting ≥6 metrics in the analysis. We examined bivariate associations of each characteristic with % meeting ≥6 metrics and included those that were significant (P < .05) in a multivariable logistic regression model. RESULTS ICVH prevalence at mean ± SD age 4.7±0.6 years was 6.9%; boys had twice the prevalence as girls (9% vs 4.4%). Most (>85%) children met criteria for second hand smoke, body mass index, blood pressure, cholesterol, and glucose, and only one-third met criteria for physical activity (31.4%) and diet (35.1%). In multivariable analyses, key correlates of ICVH were maternal weight status (ORoverweight/obese vs nonoverweight/obese = 0.41 [0.23, 0.73]) and offspring sex (ORmale vs female = 2.14 [1.22, 3.65]). CONCLUSIONS At age 4-7 years, ICVH prevalence is already low, with diet and adequate physical activity being the limiting factors. Healthy maternal weight prior to pregnancy and male sex are potential determinants of childhood ICVH. Additional work is required to explore associations of early-life ICVH with future health outcomes.
Collapse
Affiliation(s)
- Wei Perng
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO.
| | - Ellen C Francis
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
| | - Caylor Schuldt
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
| | - Gregory Barbosa
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
| | - Dana Dabelea
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO; Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
| | - Katherine A Sauder
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO; Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO
| |
Collapse
|
50
|
Betts GM, Lipsky LM, Temmen CD, Siega-Riz AM, Faith MS, Nansel TR. Poorer mental health and sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum: an observational cohort study. Int J Behav Nutr Phys Act 2021; 18:58. [PMID: 33933087 PMCID: PMC8088672 DOI: 10.1186/s12966-021-01124-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 04/19/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Depression, stress, and poor-quality sleep are common during pregnancy and postpartum, but the relationship of these factors with reward-related eating is not well understood. This observational cohort study examines associations of depression, stress, and sleep quality with self-reported reward-related eating in pregnancy and postpartum. METHODS Participants were enrolled at < 12 weeks gestation and followed through 1 year postpartum. Self-reported measures obtained at baseline and 23-31 weeks postpartum included the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Pittsburgh Sleep Quality Index; reward-related eating measures included the Power of Food Scale (assessing hedonic hunger), modified Yale Food Addiction Scale (assessing addictive-like eating), and frequency and intensity of cravings. Linear and logistic regression models estimated associations of depressive symptoms, stress, and sleep quality with reward-related eating during pregnancy and postpartum, as well as change in each predictor with change in outcome. RESULTS During pregnancy, greater depressive symptoms (β ± SE = 0.03 ± 0.01, p < .01), higher stress (0.03 ± 0.01, p < .01), and worse sleep quality (0.03 ± 0.01, p = 0.03) were associated with greater hedonic hunger. Similarly, greater depressive symptoms (OR = 1.08, 95% CI: 1.02, 1.14, p = .01), higher stress (OR = 1.09, 95% CI: 1.04, 1.14, p = <.01), and worse sleep quality (OR = 1.09, 95% CI: 1.00, 1.18, p = .04) were associated with greater odds of addictive-like eating. These associations were also significant in postpartum except that sleep quality was not associated with hedonic hunger. Greater depressive symptoms (β ± SE = 0.06 ± 0.02, p < .01; 0.08 ± 0.02, p = <.01), higher stress (0.04 ± 0.01, p < .01; 0.06 ± 0.02, p < .01), and worse sleep quality (0.11 ± 0.03, p < .01; 0.13 ± 0.03, p < .01) during pregnancy were associated with stronger and more frequent cravings, respectively. Increased depressive symptoms from pregnancy to postpartum was associated with increased hedonic hunger (β ± SE = 1.17 ± 0.57, p = 0.01) and addictive-like eating (0.88 ± 0.33, p = 0.01), and increased stress was associated with increased hedonic hunger (1.71 ± 0.76, p = 0.02). Change in stress was not associated with change in addictive-like eating and change in sleep quality was not associated with change in either hedonic hunger or addictive-like eating. CONCLUSIONS Greater depressive symptoms, perceived stress, and poorer sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum, suggesting that efforts to improve diet during and after pregnancy may benefit from addressing mental health and sleep. TRIAL REGISTRATION Clinicaltrials.gov Registration ID - NCT02217462 . Date of registration - August 13, 2014.
Collapse
Affiliation(s)
- Grace M Betts
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, 20892, USA
| | - Leah M Lipsky
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, 20892, USA.
| | - Chelsie D Temmen
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, 20892, USA
| | - Anna Maria Siega-Riz
- Departments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, 109 Arnold House, 715 Pleasant St, Amherst, MA, 01003-9303, USA
| | - Myles S Faith
- Department of Counseling, School, and Educational Psychology, Graduate School of Education, 420 Baldy Hall, University at Buffalo - SUNY, Buffalo, NY, 14250-1000, USA
| | - Tonja R Nansel
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, 20892, USA
| |
Collapse
|