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Call CC, Jouppi RJ, Emery Tavernier RL, Grace JL, Sweeney GM, Conlon RPK, Ferguson EA, Levine MD. Pregnancy Eating Attitudes-Questionnaire (PEA-Q): Exploratory factor analysis and psychometric performance in a pregnant community sample with body mass index ≥ 25. Appetite 2024; 206:107828. [PMID: 39694418 DOI: 10.1016/j.appet.2024.107828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 12/12/2024] [Accepted: 12/16/2024] [Indexed: 12/20/2024]
Abstract
Pregnancy is characterized by biopsychosocial changes that impact appetite, eating and weight. Understanding pregnant individuals' attitudes toward eating and weight can provide insight into prenatal health behavior. Accordingly, we developed and performed initial psychometric testing of a self-report measure, the Pregnancy Eating Attitudes-Questionnaire (PEA-Q), among individuals with pre-pregnancy BMI≥25. Pregnant participants with pre-pregnancy BMI≥25 (N = 213), who predominantly identified as racially minoritized (51% Black/African American) and lower income (66% ≤$30,000/year), enrolled in a longitudinal study. Participants completed 25 candidate PEA-Q items and eating- and weight-related measures. We conducted exploratory factor analysis to determine PEA-Q factor structure, calculated internal consistency coefficients of the extracted factors, and assessed convergent and discriminant validity. An 11-item, three-factor solution produced excellent model fit. Factors were interpreted as Permissive Eating and Weight Attitudes (e.g., "Pregnancy is a 'free pass' to eat any type of food that I want; " α = .82), Intentional Eating Changes (e.g., "I need to eat more food each day because I am pregnant; " α = .81), and Lack of Worry about Eating and Weight (e.g., "I am not concerned about eating too much now that I am pregnant; " α = .83). Each factor showed small-to-moderate correlations with measures of gestational weight gain and/or dietary intake and was not correlated with eating pathology measures, demonstrating adequate convergent and discriminant validity, respectively. This novel self-report measure seems to adequately capture pregnancy-related attitudes toward eating and weight among pregnant individuals with BMI≥25. Further testing is required to confirm these preliminary findings and determine generalizability.
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Affiliation(s)
- Christine C Call
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.
| | - Riley J Jouppi
- University of Pittsburgh, Department of Psychology, 210 South Bouquet Street, Pittsburgh, PA, 15260, USA
| | - Rebecca L Emery Tavernier
- Weitzman Institute, Moses Weitzman Health System, 1575 I St NW, Washington DC, 20005, USA; University of Minnesota Medical School, Department of Family Medicine and Biobehavioral Health, 141 Smed, 1035 University Drive, Duluth, MN, 55812-3031, USA
| | - Jennifer L Grace
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Gina M Sweeney
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Rachel P K Conlon
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Emma A Ferguson
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Michele D Levine
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA; University of Pittsburgh, Department of Psychology, 210 South Bouquet Street, Pittsburgh, PA, 15260, USA
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Sparks JR, Myers CA, Phelan S, Newton RL, Yang S, Redman LM. Influence of Food Security Status and Diet Quality on Maternal Gestational Weight Gain. J Midwifery Womens Health 2024; 69:394-402. [PMID: 38553830 PMCID: PMC11150105 DOI: 10.1111/jmwh.13622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 12/07/2023] [Indexed: 04/07/2024]
Abstract
BACKGROUND Recommended gestational weight gain (GWG) is crucial for health of women and their offspring. Food security status is hypothesized to influence diet quality and GWG. Therefore, we examined the relationship between diet quality and GWG by food security status. METHODS Participants (n = 679) were enrolled in the Initial Vanguard Study of the National Children's Study. GWG was calculated as third trimester weight minus prepregnancy weight. Food security status and diet quality (Healthy Eating Index [HEI]-2015) were assessed using the Household Food Security Survey and a Diet History Questionnaire, respectively. General linear models evaluated the relationship between GWG and HEI-2015 by food security status. RESULTS A greater proportion of women experienced food security (81.3%) compared with food insecurity (18.7%). In women with food security, GWG was negatively associated with HEI-2015 in women having overweight (r = -0.421, P = .003) and positively associated with HEI-2015 in women with inadequate GWG (r = 0.224, P = .019). Conversely, no significant relationships were found between GWG and HEI-2015 in women with food insecurity. DISCUSSION Improved diet quality potentially lowers GWG in women with food security. However, in vulnerable populations, including women with food insecurity, improvements in diet quality may not effectively enhance GWG.
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Affiliation(s)
- Joshua R Sparks
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Candice A Myers
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Suzanne Phelan
- Kinesiology and Public Health Department, California Polytechnic State University, San Luis Obispo, California
| | - Robert L Newton
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Shengping Yang
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Leanne M Redman
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
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Darling AM, Wang D, Perumal N, Liu E, Wang M, Ahmed T, Christian P, Dewey KG, Kac G, Kennedy SH, Subramoney V, Briggs B, Fawzi WW. Risk factors for inadequate and excessive gestational weight gain in 25 low- and middle-income countries: An individual-level participant meta-analysis. PLoS Med 2023; 20:e1004236. [PMID: 37486938 PMCID: PMC10406332 DOI: 10.1371/journal.pmed.1004236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/07/2023] [Accepted: 04/21/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Many women experience suboptimal gestational weight gain (GWG) in low- and middle-income countries (LMICs), but our understanding of risk factors associated with GWG in these settings is limited. We investigated the relationships between demographic, anthropometric, lifestyle, and clinical factors and GWG in prospectively collected data from LMICs. METHODS AND FINDINGS We conducted an individual participant-level meta-analysis of risk factors for GWG outcomes among 138,286 pregnant women with singleton pregnancies in 55 studies (27 randomized controlled trials and 28 prospective cohorts from 25 LMICs). Data sources were identified through PubMed, Embase, and Web of Science searches for articles published from January 2000 to March 2019. Titles and abstracts of articles identified in all databases were independently screened by 2 team members according to the following eligibility criteria: following inclusion criteria: (1) GWG data collection took place in an LMIC; (2) the study was a prospective cohort or randomized trial; (3) study participants were pregnant; and (4) the study was not conducted exclusively among human immunodeficiency virus (HIV)-infected women or women with other health conditions that could limit the generalizability of the results. The Institute of Medicine (IOM) body mass index (BMI)-specific guidelines were used to determine the adequacy of GWG, which we calculated as the ratio of the total observed weight gain over the mean recommended weight gain. Study outcomes included severely inadequate GWG (percent adequacy of GWG <70), inadequate GWG (percent adequacy of GWG <90, inclusive of severely inadequate), and excessive GWG (percent adequacy of GWG >125). Multivariable estimates from each study were pooled using fixed-effects meta-analysis. Study-specific regression models for each risk factor included all other demographic risk factors measured in a particular study as potential confounders, as well as BMI, maternal height, pre-pregnancy smoking, and chronic hypertension. Risk factors occurring during pregnancy were further adjusted for receipt of study intervention (if any) and 3-month calendar period. The INTERGROWTH-21st standard was used to define high and low GWG among normal weight women in a sensitivity analysis. The prevalence of inadequate GWG was 54%, while the prevalence of excessive weight gain was 22%. In multivariable models, factors that were associated with a higher risk of inadequate GWG included short maternal stature (<145 cm), tobacco smoking, and HIV infection. A mid-upper arm circumference (MUAC) of ≥28.1 cm was associated with the largest increase in risk for excessive GWG (risk ratio (RR) 3.02, 95% confidence interval (CI) [2.86, 3.19]). The estimated pooled difference in absolute risk between those with MUAC of ≥28.1 cm compared to those with a MUAC of 24 to 28.09 cm was 5.8% (95% CI 3.1% to 8.4%). Higher levels of education and age <20 years were also associated with an increased risk of excessive GWG. Results using the INTERGROWTH-21st standard among normal weight women were similar but attenuated compared to the results using the IOM guidelines among normal weight women. Limitations of the study's methodology include differences in the availability of risk factors and potential confounders measured in each individual dataset; not all risk factors or potential confounders of interest were available across datasets and data on potential confounders collected across studies. CONCLUSIONS Inadequate GWG is a significant public health concern in LMICs. We identified diverse nutritional, behavioral, and clinical risk factors for inadequate GWG, highlighting the need for integrated approaches to optimizing GWG in LMICs. The prevalence of excessive GWG suggests that attention to the emerging burden of excessive GWG in LMICs is also warranted.
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Affiliation(s)
- Anne Marie Darling
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Dongqing Wang
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Department of Global and Community Health, College of Health and Human Services, George Mason University, Fairfax, Virginia, United States of America
| | - Nandita Perumal
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Enju Liu
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, Massachusetts, United States of America
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Tahmeed Ahmed
- Nutrition & Clinical Services, International Centre for Diarrheal Disease Research, Bangladesh
| | - Parul Christian
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Kathryn G. Dewey
- Department of Nutrition, University of California, Davis, Davis, California, United States of America
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Stephen H. Kennedy
- Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | | | - Brittany Briggs
- Certara USA, Inc. on behalf of the Bill & Melinda Gates Foundation, Seattle, Washington, United States of America
| | - Wafaie W. Fawzi
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
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Dempsey K, Mottola MF, Atkinson SA. Comparative Assessment of Diet Quality and Adherence to a Structured Nutrition and Exercise Intervention Compared with Usual Care in Pregnancy in a Randomized Trial. Curr Dev Nutr 2023; 7:100097. [PMID: 37441683 PMCID: PMC10334218 DOI: 10.1016/j.cdnut.2023.100097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/05/2023] [Accepted: 05/07/2023] [Indexed: 07/15/2023] Open
Abstract
Background In trials testing the efficacy of diet and exercise modifications during pregnancy on health outcomes, assessment of participant adherence to interventions of diet and exercise is rarely reported, with few standard methods existing to measure adherence. Objective We aimed to assess the maternal diet quality and create an algorithm to evaluate adherence to an intervention of high protein/dairy nutrition and walking exercise from early pregnancy to birth. Methods In Be Healthy in Pregnancy randomized trial (NCT01693510), diet quality was measured using scores from an adapted PrimeScreen food frequency questionnaire, nutrient intake assessed by 3-day diet records, and physical activity using accelerometry at 14-17 (early), 26-28 (middle), and 36-38 (late) weeks' gestation. A novel adherence score was derived by combining data for compliance with prescribed protein and energy intakes and daily step counts in the intervention group. Between-group diet quality scores and changes in adherence scores in the intervention group across pregnancy were analyzed using generalized estimating equations adjusted for prepregnancy body mass index and study site. Results Diet scores were similar for intervention (n = 55) and control (n = 56) groups at baseline but only the intervention group significantly improved and maintained their scores from early to middle (18.7 ± 7.6 vs. 22.9 ± 6.1; P < 0.001) and late (22.5 ± 6.9; P < 0.008) pregnancy. Protein intake was significantly (P < 0.001) higher but energy intakes were similar in the intervention group compared with those in the control group. Adherence scores for the intervention increased significantly (P < 0.01) from early (1.52 ± 0.70) to midpregnancy (1.89 ± 0.82) but declined from midpregnancy to late (1.55 ± 0.78; P < 0.0005) pregnancy primarily owing to lower step counts. Conclusions Adherence to an intervention may decline toward the end of pregnancy, particularly in maintaining physical activity. Creation of adherence scores is a feasible approach to measure combined intervention compliance for diet and physical activity and may increase transparency in interpreting results of randomized trials in pregnancy.This trial was registered at clinicaltrials.gov as NCT01689961 (https://clinicaltrials.gov/ct2/show/NCT01689961?cond=NCT01689961&rank=1; registered on 21 September 2012).
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Affiliation(s)
- Kendra Dempsey
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Michelle F. Mottola
- School of Kinesiology, The University of Western Ontario, London, Ontario, Canada
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Lindsay KL, Most J, Buehler K, Kebbe M, Altazan AD, Redman LM. Maternal mindful eating as a target for improving metabolic outcomes in pregnant women with obesity. FRONT BIOSCI-LANDMRK 2021; 26:1548-1558. [PMID: 34994169 PMCID: PMC9048853 DOI: 10.52586/5048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 10/07/2021] [Accepted: 10/25/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND Maternal diet and eating behaviors have the potential to influence the metabolic milieu in pregnancies complicated by obesity, with implications for the developmental programming of offspring obesity. Emerging evidence suggests that mindfulness during eating may influence metabolic health in non-pregnant populations, but its effects in the context of pregnancy is less well understood. This study explored the individual and combined effects of mindful eating and diet quality on metabolic outcomes among pregnant women with obesity. METHODS In 46 pregnant women (body mas index >30 kg/m2) enrolled in the MomEE observational study, mindful eating (Mindful Eating Questionnaire, MEQ) and energy-adjusted dietary inflammatory index (DII, from 7 days of food photography) was assessed at two time points and the mean pregnancy values computed. Rate of gestational weight gain (GWG) and fat mass gain per week were determined from measured weight and body composition using a three-compartment method, respectively, at each assessment. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and ghrelin concentrations were determined from fasting blood samples in late gestation (35-37 weeks). Linear regression was used to examine the association of the MEQ and its subscales (where higher values indicate more mindful eating) with metabolic outcomes, adjusting for covariates: maternal age, pregravid body mass index, race, parity, DII. The effects of the MEQ*DII interaction was also tested. RESULTS Total MEQ scores were not associated with rate of weight or fat mass gain, although greater distracted eating behavior was associated with greater adiposity gain (weight and fat mass). Mindful eating was inversely associated with insulin resistance, although this was attenuated to non-significance after additional adjustment for GWG. Total MEQ and the external eating subscale was significantly inversely associated with fasted ghrelin, such that less tendency to eat under the influence of external cues was associated with lower ghrelin concentrations. After false discovery rate adjustment for multiple testing, only the association of the total MEQ and external eating subscale with ghrelin levels trended towards significance. The DII was not associated with MEQ scores or outcome variables, nor did it moderate the effect of MEQ on any of the outcomes. CONCLUSION This study generates early evidence to suggest that mindful eating holds potential as a tool to improve metabolic health outcomes in pregnant women with obesity, although further research is required on this topic. Prenatal lifestyle interventions should consider including mindfulness during eating to determine its efficacy for reducing adverse pregnancy and offspring health outcomes associated with maternal obesity.
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Affiliation(s)
- Karen L Lindsay
- Susan Samueli Integrative Health Institute, University of California Irvine, Costa Mesa, CA 92696, USA
- Department of Pediatrics, Susan and Henry Samueli College of Health Sciences, University of California Irvine, Irvine, CA 92697, USA
| | - Jasper Most
- Zuyderland Medical Center, Sittard/Geleen, 6162 BG, The Netherlands
- Reproductive Endocrinology and Women’s Health Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Kerrie Buehler
- Department of Medicine, Susan and Henry Samueli College of Health Sciences, University of California Irvine, Irvine, CA 92697, USA
| | - Maryam Kebbe
- Reproductive Endocrinology and Women’s Health Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Abby D Altazan
- Reproductive Endocrinology and Women’s Health Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Leanne M Redman
- Reproductive Endocrinology and Women’s Health Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
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Flanagan EW, Most J, Altazan AD, Boyle KE, Redman LM. A role for the early pregnancy maternal milieu in the intergenerational transmission of obesity. Obesity (Silver Spring) 2021; 29:1780-1786. [PMID: 34734494 PMCID: PMC9208317 DOI: 10.1002/oby.23283] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/14/2021] [Accepted: 08/11/2021] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Maternal obesity increases the risks for adverse pregnancy and offspring outcomes but with large heterogeneity. This study examined changes to the maternal metabolic milieu across pregnancy in women with obesity. It identified differences between a metabolically unhealthy obesity (MUO) phenotype and a metabolically healthy obesity (MHO) phenotype, as well as the differences in offspring adiposity between the two metabolic phenotypes. METHODS In early pregnancy, women were classified with MHO (n = 13) or MUO (n = 9) based on the presence of zero or ≥2 risk factors for metabolic syndrome, respectively (systolic blood pressure > 130 mm Hg or diastolic blood pressure > 85 mm Hg, HDL cholesterol < 50 mg/dL, LDL cholesterol ≥ 100 mg/dL, triglycerides ≥ 150 mg/dL, and glucose ≥ 100 mg/dL). Area under the pregnancy concentration curve for glucose and triglycerides measured at early (13-16 weeks), mid- (24-27 weeks), and late (35-37 weeks) pregnancy, gestational weight gain (GWG), energy expenditure, maternal fat accretion, and infant body composition were compared. RESULTS Maternal BMI, GWG, and fat accretion did not differ between MUO and MHO. Women with MUO had a greater area under the pregnancy concentration curve for glucose (+2,170 [382] mg/dL·day, p < 0.001) and triglycerides (+12,211 [3,916] mg/dL·day, p < 0.001). There were no differences in late-pregnancy total daily energy expenditure, but activity energy expenditure was significantly lower in MUO (-403 [144] kcal). MUO offspring had greater weight (+621 [205] g, p = 0.01) and adiposity (+5.8% [2.1%], p = 0.02) at 1 week of life but showed no differences in fat-free mass. CONCLUSIONS Independent of GWG, MUO resulted in heightened exposure of fetal fat-promoting substrates. Differing metabolic phenotypes may explain heterogeneity of offspring adiposity born to women with obesity.
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Affiliation(s)
| | - Jasper Most
- Zuyderland Medical Center, Sittard/Geleen, the Netherlands
| | - Abby D. Altazan
- Pennington Biomedical Research Center, Baton Rouge, Louisana, USA
| | - Kristen E. Boyle
- University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Leanne M. Redman
- Pennington Biomedical Research Center, Baton Rouge, Louisana, USA
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Kebbe M, Flanagan EW, Sparks JR, Redman LM. Eating Behaviors and Dietary Patterns of Women during Pregnancy: Optimizing the Universal 'Teachable Moment'. Nutrients 2021; 13:3298. [PMID: 34579175 PMCID: PMC8471126 DOI: 10.3390/nu13093298] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 01/13/2023] Open
Abstract
Understanding women's perceptions of eating behaviors and dietary patterns can inform the 'teachable moment' model of pregnancy. Our objectives were to describe eating behaviors and dietary patterns in pregnancy. This was a cross-sectional, national electronic survey. Women were ≥18 years of age, living in the United States, currently pregnant or less than two years postpartum, and had internet access. Age, education, race, and marriage were included as covariates in ordinal and binary logistic regressions (significance p < 0.05). Women (n = 587 eligible) made positive or negative changes to their diets, while others maintained pre-existing eating behaviors. The majority of women did not try (84.9 to 95.1% across diets) and were unwilling to try (66.6 to 81%) specific dietary patterns during pregnancy. Concerns included not eating a balanced diet (60.1 to 65.9%), difficulty in implementation without family (63.2 to 64.8%), and expense (58.7 to 60.1%). Helpful strategies included being provided all meals and snacks (88.1 to 90.6%) and periodic consultations with a dietitian or nutritionist (85 to 86.7%). Responses differed across subgroups of parity, body mass index, and trimester, notably in women with obesity who reported healthier changes to their diet (p < 0.05). Our study underscores the importance of tailoring care early to individual needs, characteristics, and circumstances.
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Affiliation(s)
| | | | | | - Leanne M. Redman
- Reproductive Endocrinology and Women’s Health Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (M.K.); (E.W.F.); (J.R.S.)
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Leonard KS, Oravecz Z, Symons Downs D. Low Resting Energy Expenditure Is Associated with High Gestational Weight Gain Only When Resting Energy Expenditure Fluctuates. Reprod Sci 2021; 28:2582-2591. [PMID: 33730361 PMCID: PMC10489300 DOI: 10.1007/s43032-021-00544-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/09/2021] [Indexed: 11/28/2022]
Abstract
Resting energy expenditure (REE) may be useful for individualizing energy intake (EI) and physical activity (PA) goals, and in turn, regulating gestational weight gain (GWG). Limited research, however, has examined the association between REE and GWG. This study examined (1) change in REE from 14 to 28 gestation, (2) time-varying associations between REE and GWG, and (3) EI and PA patterns during the weeks when REE and GWG were significantly associated. Pregnant women with overweight/obesity (N = 27) participating in the Healthy Mom Zone study completed weekly point estimates of EI (back-calculation), PA (wrist-worn activity monitor), REE (mobile metabolism device), and weight (Wi-Fi scale) from 14 to 28 weeks gestation. Analyses included descriptives and time-varying effect modeling. REE fluctuated, increasing on average from 14 to 28 weeks gestation, but decreased at gestational weeks 17, 20, 21, 23, 26, and 28. Most women increased in REE; however there was large between-person variability in the amount of change. Associations between REE and GWG were small but time-varying; low REE was associated with high GWG between gestational weeks 25 to 28 when there was observably larger fluctuation in REE. Moreover, over half of the women were categorized as having excessive EI and most as low active during this time. EI needs may be overestimated and PA needs may be underestimated when REE is fluctuating, which may increase the risk for high second trimester GWG. Researchers should consider the role of REE to inform EI and PA goals to regulate GWG.
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Affiliation(s)
- Krista S Leonard
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA
| | - Zita Oravecz
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - Danielle Symons Downs
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University & Department of Obstetrics and Gynecology, Penn State College of Medicine, Hershey, PA, USA.
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Heslehurst N, Flynn AC, Ngongalah L, McParlin C, Dalrymple KV, Best KE, Rankin J, McColl E. Diet, Physical Activity and Gestational Weight Gain Patterns among Pregnant Women Living with Obesity in the North East of England: The GLOWING Pilot Trial. Nutrients 2021; 13:1981. [PMID: 34207613 PMCID: PMC8227571 DOI: 10.3390/nu13061981] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/26/2021] [Accepted: 06/04/2021] [Indexed: 02/04/2023] Open
Abstract
Maternal diet, physical activity (PA) behaviours, and gestational weight gain (GWG) are important for optimum health of women and their babies. This secondary analysis of the GLOWING pilot cluster trial explored these among women living with obesity in high deprivation. Pregnant women completed food frequency, PA and psychosocial questionnaires. Weights were retrieved from medical records and measured during routine appointments with midwives. Descriptive and regression analyses were stratified by obesity class. A total of 163 women were recruited; 54.0% had class 1 obesity, 25.8% class 2, 20.2% class 3, and 76.1% lived in the two most deprived quintiles. Women had suboptimal dietary intake, particularly for oily fish, fruit and vegetables. PA was predominantly light intensity, from household, care and occupational activities. Most women gained weight outside of Institute of Medicine (IOM) guideline recommendations (87.8%); women in class 3 obesity were most likely to have inadequate GWG below IOM recommendations (58.3%, p < 0.01) and reduced odds of excessive GWG compared with class 1 (AOR 0.13, 95% 0.04-0.45). Deprived women with obesity have a double inequality as both increase pregnancy risks. This population requires support to meet guideline recommendations for diet, PA and GWG. Further research exploring obesity classes would inform policies and care to achieve the best pregnancy outcomes.
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Affiliation(s)
- Nicola Heslehurst
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Angela C. Flynn
- Department of Women and Children’s Health, Kings College London, Strand, London WC2R 2LS, UK; (A.C.F.); (K.V.D.)
| | - Lem Ngongalah
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Catherine McParlin
- Faculty of Health and Life Sciences, Northumbria University, Sutherland Building, Newcastle upon Tyne NE1 8ST, UK;
| | - Kathryn V. Dalrymple
- Department of Women and Children’s Health, Kings College London, Strand, London WC2R 2LS, UK; (A.C.F.); (K.V.D.)
| | - Kate E. Best
- Leeds Institute of Health Sciences, University of Leeds, Woodhouse, Leeds LS2 9JT, UK;
| | - Judith Rankin
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Elaine McColl
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
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Predicting the Quality of Life Based on Health-promoting and Mindfulness Lifestyle in Pregnant Women With Obesity Referring to Comprehensive Health Centers in Arak City, Iran. PREVENTIVE CARE IN NURSING AND MIDWIFERY JOURNAL 2021. [DOI: 10.52547/pcnm.11.1.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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11
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Flanagan EW, Most J, Broskey NT, Altazan AD, Beyl RA, Keadle SK, Drews KL, Singh P, Redman LM. Identification of changes in sleep across pregnancy and the impact on cardiometabolic health and energy intake in women with obesity. Sleep Med 2021; 77:120-127. [PMID: 33352456 PMCID: PMC7887073 DOI: 10.1016/j.sleep.2020.11.031] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/24/2020] [Accepted: 11/29/2020] [Indexed: 10/22/2022]
Abstract
This prospective, observational study investigated changes in sleep and the effect on energy intake, gestational weight gain, and cardiometabolic health across pregnancy in 52 healthy pregnant women with obesity. Habitual sleep was assessed by wrist-worn actigraphy (time spent in bed; TIB, total sleep time; TST, and sleep efficiency) in early (130-156 weeks) and late (350-366) pregnancy. A change to habitual sleep was defined as change of one-half of the standard deviation of TIB and TST across six consecutive nights from early pregnancy. Energy intake and changes in weight, fasting glucose, insulin, and lipids across pregnancy were compared between women who changed sleep. During early pregnancy, TIB was 9:24 ± 0:08 h and varied by 1:37 ± 0:07 h across the six nights. TST and sleep efficiency significantly declined from early to late pregnancy (7:03 ± 0:08 h to 6:28 ± 0:09 h, p < 0.001) and (76 ± 0.1% to 71 ± 0.2%, p < 0.001), respectively. For women who increased TIB (n = 11), fasting glucose decreased (-11.6 ± 4.3%, p < 0.01) across pregnancy and they had a trend towards decreased insulin (-57.8 ± 33.5%; p = 0.09) and HOMA-IR (-72.4 ± 37.3%; p = 0.06) compared to women who decreased TIB (n = 13). Women who increased TIB had a significantly lower daily energy intake across pregnancy (-540 ± 163 kcal; p < 0.01) and tended to have less gestational weight gain (-147 ± 88 g/week; p = 0.10). Changes in TST did not affect plasma markers, energy intake or weight gain. The positive relationship between sleep and cardiometabolic health during pregnancy is explained in part by lower energy intake. We hypothesize lower energy intake is due to a prolonged overnight fast and a decrease in the time available for eating.
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Affiliation(s)
- Emily W Flanagan
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Jasper Most
- Zuyderland Medical Center, Sittard/Geleen, 6162, BG, the Netherlands
| | - Nicholas T Broskey
- Department of Kinesiology, East Carolina University, Greenville, NC, USA
| | - Abby D Altazan
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Robbie A Beyl
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Sarah K Keadle
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, USA
| | - Kimberly L Drews
- Biostatistics Center, George Washington University, Rockville, MD, USA
| | - Prachi Singh
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Leanne M Redman
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
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Comstock SS. Time to change weight gain recommendations for pregnant women with obesity. J Clin Invest 2020; 129:4567-4569. [PMID: 31545296 DOI: 10.1172/jci131932] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Obesity during pregnancy is a major health problem in the United States. In this issue of the JCI, Most et al. fill an important gap in our understanding of energy homeostasis in pregnancy. The researchers measured energy intake, energy expenditure, and body composition in obese pregnant women. They demonstrated that energy intake need not increase in order for obese women to gain the recommended amounts of weight during pregnancy. Additionally, all of the gestational weight gain scenarios (inadequate, recommended, or excess) resulted in similar maternal and fetal perinatal outcomes. This evidence should guide new recommendations on this important topic.
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Most J, Altazan AD, St. Amant M, Beyl RA, Ravussin E, Redman LM. Increased Energy Intake After Pregnancy Determines Postpartum Weight Retention in Women With Obesity. J Clin Endocrinol Metab 2020; 105:5697304. [PMID: 31905403 PMCID: PMC7077954 DOI: 10.1210/clinem/dgz330] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 01/02/2020] [Indexed: 12/17/2022]
Abstract
CONTEXT This study was designed to understand causes and critical periods for postpartum weight retention by characterizing changes in body composition, energy intake, energy expenditure and physical activity in women with obesity during pregnancy and postpartum. DESIGN In this prospective, observational cohort study, body composition (plethysmography), energy expenditure (doubly labeled water, whole-body room calorimetry), physical activity (accelerometry), metabolic biomarkers, and eating behaviors were measured. Energy intake was calculated by the intake-balance method for pregnancy, and for 2 postpartum periods (0 to 6 months and 6 to 12 months). RESULTS During the 18-month observation period, weight loss occurred in 16 (43%) women (mean ± SEM, -4.9 ± 1.6 kg) and weight retention occurred in 21 (57%) women (+8.6 ± 1.4 kg). Comparing women with postpartum weight loss and weight retention, changes in body weight were not different during pregnancy (6.9 ± 1.0 vs 9.5 ± 0.9 kg, P = 0.06). After pregnancy, women with postpartum weight loss lost -3.6 ± 1.8 kg fat mass whereas women with weight retention gained 6.2 ± 1.7 kg fat mass (P < 0.001). Women with postpartum weight loss reduced energy intake during the postpartum period (compared with during pregnancy) by 300 kcal/d (1255 kJ/d), while women with weight retention increased energy intake by 250 kcal/d (1046 kJ/d, P < 0.005). There were no differences in the duration of breastfeeding, eating behavior, or metabolic biomarkers. CONCLUSIONS Postpartum weight gain was the result of increased energy intake after pregnancy rather than decreased energy expenditure. Dietary intake recommendations are needed for women with obesity during the postpartum period, and women should be educated on the risk of overeating after pregnancy.
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Affiliation(s)
- Jasper Most
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, LA
- Current Affiliation: Jasper Most is now with the Dept of Nutrition and Movement Sciences, Maastricht University Medical Center+, the Netherlands
| | - Abby D Altazan
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, LA
| | | | - Robbie A Beyl
- Clinical Sciences, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Eric Ravussin
- Clinical Sciences, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Leanne M Redman
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, LA
- Correspondence and Reprint Requests: Leanne M. Redman, PhD, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808. E-mail:
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Pereira LCR, Elliott SA, McCargar LJ, Bell RC, Robson PJ, Prado CM. Associations of appetite sensations and metabolic characteristics with weight retention in postpartum women. Appl Physiol Nutr Metab 2020; 45:875-885. [PMID: 32073907 DOI: 10.1139/apnm-2019-0809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Postpartum weight retention (PPWR) is an important risk factor for long-term obesity. Appetite may be a key factor regulating PPWR. The objectives of this study were to determine the associations between (i) PPWR and appetite; and (ii) appetite, lactation, and metabolic characteristics. Data from 49 women at 9 months postpartum contributed to this cross-sectional analysis. Energy expenditure was assessed in a whole-body calorimetry unit for 24 h. Appetite sensations were rated using visual analogue scales. Lactation (min/day) was measured using a 3-day breastfeeding diary. PPWR was negatively associated with fullness (β ± SE; R2 = -2.97 ± 0.72; 0.661; P < 0.001), and satiety (-2.75 ± 0.81; 0.617; P = 0.002), and was positively associated with hunger (2.19 ± 1.02; 0.548; P = 0.039), prospective food consumption (PFC; 2.19 ± 0.91; 0.562; P = 0.021), and composite appetite score (CAS; 0.34 ± 0.09; 0.632; P = 0.001). Lactation was associated with higher CAS (39.68 ± 15.56; 0.365; P = 0.015), hunger (3.56 ± 1.61; 0.308; P = 0.033), and PFC (4.22 ± 1.78; 0.314; P = 0.023), and with reduced sensations of fullness (-4.18 ± 1.94; 0.358; P = 0.038) and satiety (-3.83 ± 1.87; 0.295; P = 0.048). Lactation was associated with appetite, which in turn was related to PPWR. Appetite control should be explored to support postpartum weight management strategies. Novelty Postpartum weight retention was associated with appetite sensations, which were assessed throughout the day under conditions in which energy intake and expenditure were precisely matched. Lactation and other maternal metabolic factors, including carbohydrate oxidation and physical activity level may play a role in controlling appetite during the postpartum period.
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Affiliation(s)
- Leticia C R Pereira
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Sarah A Elliott
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Linda J McCargar
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Rhonda C Bell
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Paula J Robson
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada.,CancerControl Alberta, Alberta Health Services, Edmonton, AB T5J 3E4, Canada
| | - Carla M Prado
- Department of Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, 2-004 Li Ka Shing Center for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada
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Most J, Altazan AD, Hsia DS, Beyl RA, Redman LM. Body Composition During Pregnancy Differs by Obesity Class. Obesity (Silver Spring) 2020; 28:268-276. [PMID: 31891231 PMCID: PMC6981013 DOI: 10.1002/oby.22699] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 10/08/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The aim of this study is to characterize changes in body composition during pregnancy in women with obesity. METHODS Fifty-four healthy women with obesity (class 1, 30-34.9 kg/m2 : n = 25; class 2, 35-39.9 kg/m2 : n = 21; class 3, ≥ 40.0 kg/m2 : n = 8) expecting a singleton pregnancy were studied. Body composition was measured in early pregnancy (13-16 weeks), midpregnancy (24-27 weeks), and late pregnancy (35-37 weeks) using air displacement plethysmography, stable isotopes, and skinfold thickness measurements. Fasting glucose, insulin, and leptin were measured. RESULTS The gain in fat-free mass was lower in the second trimester compared with the third (2.7 ± 0.2 to 5.3 ± 0.2 kg; P < 0.001), whereas fat mass accumulation declined over time (0.6 ± 0.3 to -0.7 ± 0.4 kg; P = 0.005). Women with class 1 and 2 obesity gained 1.1 ± 0.7 kg of fat mass during pregnancy, while women with class 3 obesity lost 4.1 ± 0.6 kg (both P < 0.001). The difference in fat accumulation between obesity classes was observed only in the second trimester (P = 0.02). Gestational weight gain was associated positively with changes in plasma concentrations of insulin, leptin, and insulin resistance (all P < 0.01). CONCLUSIONS Gestational weight gain in pregnancy differs by obesity class and trimester. Women with class 3 obesity gain less body weight and fat mass. Fat mass gain is most likely preventable in the second trimester.
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Affiliation(s)
- Jasper Most
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Abby D Altazan
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Robbie A Beyl
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Leanne M Redman
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Gilmore LA, Redman LM. Application of mathematical models in the management of obesity during pregnancy and the postpartum period in reproductive age women. Nutr Res 2019; 70:7-10. [PMID: 31101532 PMCID: PMC6903398 DOI: 10.1016/j.nutres.2019.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 02/26/2019] [Accepted: 03/21/2019] [Indexed: 12/01/2022]
Abstract
Obesity is a complex pandemic, and its effective management involves addressing many different factors. This complexity has given rise to novel analytic methods, integrating intensive computational, engineering, and statistical techniques. Mathematical models are currently applied to inform clinical practice. At the 2017 The Korean Nutrition Society 50th Anniversary International Conference, the development of such models and their application to improve data accuracy and patient care during the pregnancy and postpartum periods were discussed.
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Affiliation(s)
- L. Anne Gilmore
- Pennington Biomedical Research Center 6400 Perkins Road, Louisiana 70808, United States
| | - Leanne M. Redman
- Pennington Biomedical Research Center 6400 Perkins Road, Louisiana 70808, United States
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17
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Most J, Dervis S, Haman F, Adamo KB, Redman LM. Energy Intake Requirements in Pregnancy. Nutrients 2019; 11:nu11081812. [PMID: 31390778 PMCID: PMC6723706 DOI: 10.3390/nu11081812] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/02/2019] [Accepted: 04/08/2019] [Indexed: 12/21/2022] Open
Abstract
Energy intake requirements in pregnancy match the demands of resting metabolism, physical activity, and tissue growth. Energy balance in pregnancy is, therefore, defined as energy intake equal to energy expenditure plus energy storage. A detailed understanding of these components and their changes throughout gestation can inform energy intake recommendations for minimizing the risk of poor pregnancy outcomes. Energy expenditure is the sum of resting and physical activity-related expenditure. Resting metabolic rate increases during pregnancy as a result of increased body mass, pregnancy-associated physiological changes, i.e., cardiac output, and the growing fetus. Physical activity is extremely variable between women and may change over the course of pregnancy. The requirement for energy storage depends on maternal pregravid body size. For optimal pregnancy outcomes, women with low body weight require more fat mass accumulation than women with obesity, who do not require to accumulate fat mass at all. Given the high energy density of fat mass, these differences affect energy intake requirements for a healthy pregnancy greatly. In contrast, the energy stored in fetal and placental tissues is comparable between all women and have small impact on energy requirements. Different prediction equations have been developed to quantify energy intake requirements and we provide a brief review of the strengths and weaknesses and discuss their application for healthy management of weight gain in pregnant women.
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Affiliation(s)
- Jasper Most
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Sheila Dervis
- School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Francois Haman
- School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Kristi B Adamo
- School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Leanne M Redman
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
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Purcell SA, Elliott SA, Walter PJ, Preston T, Cai H, Skipworth RJE, Sawyer MB, Prado CM. Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations. Am J Clin Nutr 2019; 110:367-376. [PMID: 31225583 PMCID: PMC6669058 DOI: 10.1093/ajcn/nqz112] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 05/06/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Total energy expenditure (TEE) data in patients with early-stage cancer are scarce, precluding an understanding of energy requirements. OBJECTIVE The objective was to cross-sectionally characterize TEE in patients with colorectal cancer (CRC) and to compare measured TEE with energy recommendations. It was hypothesized that TEE would differ according to body mass, body composition, and physical activity level (PAL) and current energy recommendations would have poor individual-level accuracy. METHODS Patients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect calorimetry and TEE by doubly labeled water. Hypermetabolism was defined as REE > 110% of that predicted from the Mifflin St.-Jeor equation. Body composition was assessed via DXA. Physical activity was determined as the ratio of TEE to REE (TEE:REE) (PAL) and residual activity energy expenditure (RAEE). TEE was compared with energy recommendations of 25-30 kcal/d and Dietary Reference Intakes (DRIs) using Bland-Altman analyses. Patients were stratified according to median BMI, PAL, and sex-specific ratio of fat mass (FM) to fat-free mass (FFM). RESULTS Twenty-one patients (M:F 14:7; mean ± SD BMI: 28.3 ± 4.9 kg/m2, age: 57 ± 12 y) were included. Most (n = 20) had stage II-III disease; 1 had stage IV. Approximately half (n = 11) were hypermetabolic; TEE was not different in those with hypermetabolism and REE as a percentage of predicted was not correlated with TEE. Mean ± SD TEE was 2473 ± 499 kcal/d (range: 1562-3622 kcal/d), or 29.7 ± 6.3 kcal/kg body weight (range: 20.4-48.5 kcal/kg body weight). Mean ± SD PAL was 1.43 ± 0.27. The energy recommendation of 25 kcal/kg underestimated TEE (-12.6% ± 16.5%, P = 0.002); all energy recommendations had wide limits of agreement (the smallest was DRI with measured PAL: -21.2% to 29.3%). Patients with higher BMI and FM:FFM had higher bias using kilocalories per kilogram recommendations; bias from several recommendations was frequently lower (i.e. underestimation) in patients with higher PAL and RAEE. CONCLUSIONS TEE variability was not reflected in energy recommendations and error was related to body weight, body composition, and physical activity. This trial was registered at clinicaltrials.gov as NCT03131921.
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Affiliation(s)
- Sarah A Purcell
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Sarah A Elliott
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Peter J Walter
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tom Preston
- Stable Isotope Biochemistry Laboratory, Scottish Universities Environmental Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Hongyi Cai
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Michael B Sawyer
- Department of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Carla M Prado
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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Most J, Amant MS, Hsia DS, Altazan AD, Thomas DM, Gilmore LA, Vallo PM, Beyl RA, Ravussin E, Redman LM. Evidence-based recommendations for energy intake in pregnant women with obesity. J Clin Invest 2019; 129:4682-4690. [PMID: 31369400 PMCID: PMC6819141 DOI: 10.1172/jci130341] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 07/23/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In women with obesity, excess gestational weight gain (≥270 g/week) occurs in two out of three pregnancies and contributes to metabolic impairments in both mother and baby. To improve obstetrical care, objectively assessed information on energy balance is urgently needed. The objective of this study was to characterize determinants of gestational weight gain in women with obesity. METHODS This was a prospective, observational study of pregnant women with obesity. The primary outcome was energy intake calculated by the energy intake-balance method. Energy expenditure was measured by doubly-labeled water and whole-room indirect calorimetry and body composition as 3-compartment model by air displacement plethysmography and isotope dilution in early (13-16 weeks) and late pregnancy (35-37 weeks). RESULTS In pregnant women with obesity (n=54), recommended weight gain (n=8, 15%) during the second and third trimesters was achieved when energy intake was 125±52 kcal/d less than energy expenditure. In contrast, women with excess weight gain (67%) consumed 186±29 kcal/d more than they expended (P<0.001). Energy balance affected maternal adiposity (recommended: -2.5±0.8 kg fat mass, excess: +2.2±0.5, inadequate: -4.5±0.5, P<0.001), but not fetal growth. Weight gain was not related to demographics, activity, metabolic biomarkers, or diet quality. We estimated that energy intake requirements for recommended weight gain during the second and third trimesters were not increased as compared to energy requirements early in pregnancy (34±53 kcal/d, P=0.83). CONCLUSIONS We here provide the first evidence-based recommendations for energy intake in pregnant women with obesity. Contrary to current recommendations, energy intake should not exceed energy expenditure. FUNDING This study was funded by the National Institutes of Health (R01DK099175; Redman, U54GM104940 and P30DK072476; Core support). TRIAL REGISTRATION clinicaltrials.gov: NCT01954342.
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Affiliation(s)
- Jasper Most
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Marshall St Amant
- Maternal and Fetal Medicine, Woman’s Hospital, Baton Rouge, Louisiana, USA
| | - Daniel S. Hsia
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Abby D. Altazan
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | | | - L. Anne Gilmore
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Porsha M. Vallo
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Robbie A. Beyl
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Eric Ravussin
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Leanne M. Redman
- Reproductive Endocrinology and Women’s Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Most J, Adamo KB, Redman LM. Accelerometry does not measure energy expenditure. Scand J Med Sci Sports 2019; 29:1263-1264. [PMID: 31059150 DOI: 10.1111/sms.13458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Accepted: 04/30/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Jasper Most
- Reproductive Endocrinology and Women's Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Kristi B Adamo
- School of Human Kinetics, University of Ottawa, Ottawa, Ontario, Canada
| | - Leanne M Redman
- Reproductive Endocrinology and Women's Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana
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Response Letter to: "Next Steps for Measures of Physical Activity in Pregnancy". Matern Child Health J 2019; 23:570-571. [PMID: 30949933 DOI: 10.1007/s10995-019-02737-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Gestational weight gain counselling gaps as perceived by pregnant women and new mothers: Findings from the electronic maternal health survey. Women Birth 2019; 33:e88-e94. [PMID: 30852187 DOI: 10.1016/j.wombi.2019.02.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 02/06/2023]
Abstract
PROBLEM Too much or too little gestational weight gain (GWG) can negatively impact maternal and fetal health, according to Institute of Medicine Guidelines. BACKGROUND Health care providers are key players in providing reliable evidence-informed prenatal advice related to appropriate GWG. However, there appears to be inconsistent GWG communication among healthcare providers during prenatal care. AIM To determine pregnant women and new mothers' perceptions of healthcare provider GWG and dietary counselling during the pregnancy period. METHODS A reliable and validated cross-sectional electronic survey was administered to currently pregnant women and women who had recently given birth. The web-based questionnaire was self-administered and took 10-25min. FINDINGS A total of 1507 eligible women participated in the survey. More than half (57%) reported that their healthcare provider talked to them about personal weight gain limits. Of these participants, about a third (34%) of participants were counselled regularly at each or most visits. Among the women that were not counselled on personal GWG limits, over half (56%) reported that healthcare provider guidance would have been helpful to achieve their target weight. Less than half (45%) of participants reported that their healthcare providers discussed dietary requirements or changes in pregnancy. DISCUSSION These findings highlight areas for improvement in prenatal dialogue, which can support better outcomes for both mother and baby. CONCLUSION A better understanding of pregnant and mothers' perceptions about weight and diet counselling is needed to understand what may need greater attention and clarification and to improve such dialogue.
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Does energy expenditure influence body fat accumulation in pregnancy? Am J Obstet Gynecol 2019; 220:119-120. [PMID: 30171842 DOI: 10.1016/j.ajog.2018.08.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 08/23/2018] [Indexed: 11/20/2022]
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