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Bullón-Vela V, Martínez-Tabar A, Etxezarreta-Uranga M, Martínez-González MÁ, Basterra-Gortari FJ, Bes-Rastrollo M. Pre-Pregnancy Provegetarian Food Pattern and the Risk of Developing Gestational Diabetes Mellitus: The Seguimiento Universidad de Navarra (SUN) Cohort Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1881. [PMID: 39597066 PMCID: PMC11596851 DOI: 10.3390/medicina60111881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/11/2024] [Accepted: 11/14/2024] [Indexed: 11/29/2024]
Abstract
Background and Objectives: Gestational diabetes mellitus (GDM) is one of the most common medical conditions in pregnancy, with adverse effects on maternal and neonatal outcomes. Evidence suggests a beneficial effect of plant-based dietary patterns, rich in foods derived from plant sources and low in animal foods, on type 2 diabetes; however, their effects on GDM remain unclear. We aimed to investigate the association between pre-pregnancy provegetarian food patterns and the incidence of GDM in a Spanish cohort. Materials and Methods: This subsample of the Seguimiento Universidad de Navarra (SUN) cohort analyzed 3589 Spanish university graduate pregnant women with a mean (standard deviation) age of 28 (±4.3) who were initially free of pre-existing diabetes at baseline. Dietary food consumption was evaluated through a validated, 136-item semi-quantitative food frequency questionnaire. The pre-pregnancy provegetarian food pattern was obtained by assigning positive scores to plant-based food groups and reverse scores to animal food groups. Energy-adjusted quintiles were applied to allocate points to construct the provegetarian food pattern, ranging from 12 to 60 points. Logistic regression models were performed to estimate the odds ratios (OR) of GDM across quintiles of a pre-pregnancy provegetarian food pattern, using the lowest quintile as the reference category. Results: We identified 178 incidence cases of GDM. Women in the highest quintile (Q5) of provegetarian food pattern before pregnancy exhibited a 42% relative reduction in the odds of GDM [adjusted OR (95% CI) Q5 vs. Q1: 0.58 (0.35, 0.97); p-trend = 0.109]. Higher consumption of meat and dairy before pregnancy was associated with a significantly increased risk of GDM [adjusted OR (95% CI) Q5 vs. Q1: 1.94 (1.19, 3.16); p-trend = 0.005] and [adjusted OR (95% CI) Q5 vs. Q1: 1.77 (1.07, 2.94); p-trend = 0.082], respectively. Conclusions: Higher pre-pregnancy consumption of a provegetarian food pattern was associated with a lower risk of developing GDM in Spanish women. Further studies are needed to confirm these findings.
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Grants
- the Spanish Government-Instituto de Salud Carlos III, the European Regional Development Fund (FEDER) (RD 06/0045, CIBEROBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564,PI21/01332 and G03/140), the Spanish Government-Instituto de Salud Carlos III, the European Regional Development Fund (FEDER), CIBEROBN, the Navarra Regional Government, the National Plan on Drugs, and the University of Navarra.
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Affiliation(s)
- Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ainara Martínez-Tabar
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Maddi Etxezarreta-Uranga
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- CIBER Fisiopatología de La Obesidad y Nutrición, 28029 Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francisco Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, Universidad Pública de Navarra, 31008 Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- CIBER Fisiopatología de La Obesidad y Nutrición, 28029 Madrid, Spain
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Talebi S, Ghoreishy SM, Ghavami A, Sikaroudi MK, Nielsen SM, Talebi A, Mohammadi H. Dose-response association between animal protein sources and risk of gestational diabetes mellitus: a systematic review and meta-analysis. Nutr Rev 2024; 82:1460-1472. [PMID: 38086331 DOI: 10.1093/nutrit/nuad144] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2024] Open
Abstract
CONTEXT There are contradictory findings about the relationship between various animal protein sources and the risk of gestational diabetes mellitus (GDM). OBJECTIVE The purpose of our study was to understand better the associations between total protein, animal protein, and animal protein sources and the risk of developing GDM. DATA SOURCES A systematic literature search was conducted in PubMed, Scopus, and Web of Science encompassing the literature up until August 2022. A random-effects model was used to combine the data. For estimating the dose-response curves, a one-stage linear mixed-effects meta-analysis was conducted. DATA EXTRACTION Data related to the association between animal protein consumption and the risk of GDM in the general population was extracted from prospective cohort studies. DATA ANALYSIS It was determined that 17 prospective cohort studies with a total of 49 120 participants met the eligibility criteria. It was concluded with high certainty of evidence that there was a significant association between dietary animal protein intake and GDM risk (1.94, 95% CI 1.42 to 2.65, n = 6). Moreover, a higher intake of total protein, total meat, and red meat was positively and significantly associated with an increased risk of GDM. The pooled relative risks of GDM were 1.50 (95% CI: 1.16, 1.94; n = 3) for a 30 g/d increment in processed meat, 1.68 (95% CI: 1.25, 2.24; n = 2) and 1.94 (95% CI: 1.41, 2.67; n = 4) for a 100 g/d increment in total and red meat, and 1.21 (95% CI: 1.10, 1.33; n = 4) and 1.32 (95% CI: 1.15, 1.52; n = 3) for a 5% increment in total protein and animal protein, respectively. GDM had a positive linear association with total protein, animal protein, total meat consumption, and red meat consumption, based on non-linear dose-response analysis. CONCLUSION Overall, consuming more animal protein-rich foods can increase the risk of GDM. The results from the current study need to be validated by other, well-designed prospective studies. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42022352303.
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Affiliation(s)
- Sepide Talebi
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Abed Ghavami
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Khalighi Sikaroudi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sabrina Mai Nielsen
- Section for Biostatistics and Evidence-Based Research, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Ali Talebi
- Clinical Pharmacy Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Bazshahi E, Pourreza S, Jayedi A, Mirmohammadkhani M, Emadi A, Shab-Bidar S. Adherence to plant-based diet during pregnancy and risk of gestational diabetes: a prospective birth cohort study. BMC Nutr 2024; 10:139. [PMID: 39425217 PMCID: PMC11488182 DOI: 10.1186/s40795-024-00949-4] [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: 03/31/2024] [Accepted: 10/11/2024] [Indexed: 10/21/2024] Open
Abstract
BACKGROUND Studies have shown that plant-based foods have a protective effect against gestational diabetes (GDM). We examined the association between plant-based dietary patterns and the risk of GDM in a sample of Iranian adults. METHODS We enrolled 635 pregnant women for the present study. Dietary intakes were evaluated by using a 90-item food frequency questionnaire during the first trimester of pregnancy. Three plant-based including plant-based (PDI), unhealthy (uPDI) and healthy (hPDI) were calculated. Cox proportional hazard model were fitted to estimate hazard ratio (HR) and 95% confidence interval (CI) of GDM across categories of the plan-based dietary indices, while controlling for age, educational level, physical activity, family income, prepregnancy body mass index, gestational weight gain, and total energy intake. RESULTS A total of 635 mothers were included, of whom 79 participants were diagnosed with GDM. Those in the third tertile of the PDI (HR: 0.55, 95% CI: 0.30, 0.98) and hPDI (HR: 0.43, 95% CI: 0.24, 0.78) had a lower risk of developing GDM during their current pregnancy as compared to the first tertile. There was no association between uPDI and risk of GDM. CONCLUSIONS We found that higher adherence to a plant-based diet during early pregnancy may be associated with a lower GDM risk among Iranian women. Confirmation of this finding is necessary in larger cohort studies, taking into account other pregnancy outcomes such as birth weight.
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Affiliation(s)
- Elham Bazshahi
- Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran
| | - Sanaz Pourreza
- Department of Community Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences (TUMS), No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, P. O. Box 14155/6117, Tehran, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Majid Mirmohammadkhani
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Alireza Emadi
- Food Safety Research Center (salt), Semnan University of Medical Sciences, Semnan, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences (TUMS), No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, P. O. Box 14155/6117, Tehran, Iran.
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Zhu Y, Zheng Q, Huang L, Jiang X, Gao X, Li J, Liu R. The effects of plant-based dietary patterns on the risk of developing gestational diabetes mellitus: A systematic review and meta-analysis. PLoS One 2023; 18:e0291732. [PMID: 37792722 PMCID: PMC10550137 DOI: 10.1371/journal.pone.0291732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/25/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The worldwide prevention of gestational diabetes mellitus (GDM) is a significant health challenge. Plant-based dietary patterns are a series dietary habits that emphasized foods derived from plant sources more and from animal foods less. Now, no consensus exists on the effects of plant-based dietary patterns on the incident of GDM. OBJECTIVE This study aimed to estimate the effects of plant-based dietary patterns on the risk of developing GDM. METHODS This systematic review was conducted following the checklist of PRISMA. Six electronic databases including PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Wangfang, and Chinese Scientific Journals Database were searched from inception to November 20, 2022. A fixed or random effect model was used to synthesize results of included studies. Then, subgroup analysis, meta-regression and sensitivity analysis were performed to assure the reliability and stability of the results. RESULTS Ten studies including 32,006 participants were identified. The results of this study showed that the better adherence to the plant-based dietary patterns was related to the lower risk of developing GDM (RR = 0.88[0.81 to 0.96], I2 = 14.8%). The slightly stronger association between plant-based diets and the risk of developing GDM was found when healthy plant-based dietary pattern index was included in pooled estimate (RR = 0.86[0.79 to 0.94], I2 = 8.3%), compared with that unhealthy one was included (RR = 0.90[0.82 to 0.98], I2 = 8.3%). CONCLUSION The plant-based dietary patterns are associated with a lower risk of developing GDM. Furthermore, healthy plant-based dietary patterns are more recommended than unhealthy one. It is significant to help medical staff to guide pregnant women to choose reasonable diets.
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Affiliation(s)
- Yu Zhu
- The School of Nursing, Fujian Medical University, Fuzhou City, Fujian Province, China
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou City, Fujian Province, China
| | - QingXiang Zheng
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou City, Fujian Province, China
- Fujian Obstetrics and Gynecology Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou City, Fujian Province, China
| | - Ling Huang
- Fujian University of Traditional Chinese Medicine, Fuzhou City, Fujian Province, China
| | - XiuMin Jiang
- The School of Nursing, Fujian Medical University, Fuzhou City, Fujian Province, China
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou City, Fujian Province, China
| | - XiaoXia Gao
- The School of Nursing, Fujian Medical University, Fuzhou City, Fujian Province, China
| | - JiaNing Li
- The School of Nursing, Fujian Medical University, Fuzhou City, Fujian Province, China
| | - RuLin Liu
- The School of Nursing, Fujian Medical University, Fuzhou City, Fujian Province, China
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Lambert V, Muñoz SE, Gil C, Román MD. Maternal dietary components in the development of gestational diabetes mellitus: a systematic review of observational studies to timely promotion of health. Nutr J 2023; 22:15. [PMID: 36879315 PMCID: PMC9990275 DOI: 10.1186/s12937-023-00846-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND There is ample evidence that considers diet as an important factor in the prevention of gestational diabetes mellitus (GDM). The aim of this review is to synthesise the existing evidence on the relationship between GDM and maternal dietary components. METHODS We performed a systematic bibliographic search in Medline, Latin American and Caribbean Health Sciences Literature (Lilacs) and the Latin American Nutrition Archive (ALAN) of regional and local literature, limiting the searches to observational studies published between 2016 and 2022. Search terms related to nutrients, foods, dietary patterns and the relationship to GDM risk were used. The review included 44 articles, 12 of which were from America. The articles considered different topics about maternal dietary components as follows: 14 are about nutrient intake, 8 about food intake, 4 combined nutrient and food analysis and 18 about dietary patterns. RESULTS Iron, processed meat and a low carbohydrate diet were positively associated with GDM. Antioxidant nutrients, folic acid, fruits, vegetables, legumes and eggs were negatively associated with GDM. Generally, western dietary patterns increase GDM risk, and prudent dietary patterns or plant-based diets decrease the risk. CONCLUSIONS Diet is considered one of the causes of GDM. However, there is no homogeneity in how people eat nor in how researchers assess diet in different contextual conditions of the world.
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Affiliation(s)
- Victoria Lambert
- Instituto de Investigaciones en Ciencias de la Salud, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Sonia Edith Muñoz
- Instituto de Investigaciones en Ciencias de la Salud, Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Carla Gil
- Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - María Dolores Román
- Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
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Zhang Y, Meng Y, Wang J. Higher Adherence to Plant-Based Diet Lowers Type 2 Diabetes Risk among High and Non-High Cardiovascular Risk Populations: A Cross-Sectional Study in Shanxi, China. Nutrients 2023; 15:786. [PMID: 36771492 PMCID: PMC9920686 DOI: 10.3390/nu15030786] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/23/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
This study aimed to investigate the association between the plant-based diet index (PDI) score and T2D risk among residents of Shanxi Province, China, and explore whether the association was influenced by different levels of cardiovascular risk. A total of 50,694 participants aged 35-75 years were recruited between 2017 and 2019, and they were further divided into the high cardiovascular risk population (HCRP; n = 17,255) and the non-high cardiovascular risk population (non-HCRP; n = 33,439). The PDI was calculated based on food frequency from a food frequency questionnaire (FFQ). Incident T2D was defined based on elevated plasma glucose (≥7 mmol/L) or hypoglycemic medicine use. We investigated the association of the PDI andT2D risk using a two-level generalized estimating equation and restricted cubic splines model. The results showed that quartile 4 of the PDI indicated significantly reduced T2D risk in the total population (OR: 0.83; 95% CI: 0.75-0.92), HCRP (OR: 0.80; 95% CI: 0.71-0.91), and non-HCRP (OR: 0.80; 95% CI: 0.74-0.87) compared with corresponding quartile 1 (OR = 1). In stratified analysis, the negative associations between PDI and T2D risk were stronger in the total population with the elderly (age > 60 years), BMI < 24, and men, and in the non-HCRP with men and BMI 24-28, and in the HCRP with the elderly and BMI < 24 than those with corresponding subgroups (pinteraction < 0.05). Linear curves were observed for the total population and non-HCRP, but an L-shaped association was observed for the HCRP. Therefore, our results suggest that higher PDI scores may effectively attenuate the T2D risk in the Chinese population and non-HCRP, and a beneficial association of PDI with T2D risk was observed in the HCRP at a certain threshold level. Longitudinal studies and intervention trials are required to validate our study findings.
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Affiliation(s)
- Ying Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - Yaqing Meng
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - Junbo Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China
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Gao X, Zheng Q, Jiang X, Chen X, Liao Y, Pan Y. The effect of diet quality on the risk of developing gestational diabetes mellitus: A systematic review and meta-analysis. Front Public Health 2023; 10:1062304. [PMID: 36699870 PMCID: PMC9868748 DOI: 10.3389/fpubh.2022.1062304] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
Objective To examine the effect of diet quality on the risk of gestational diabetes mellitus. Methods This review included cohort and case-control studies reporting an association between diet quality and gestational diabetes mellitus. We searched PubMed, Cochrane Library, Web of Science, Embase, PsycINFO, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for studies published from inception to November 18, 2022. The Newcastle-Ottawa Scale was used for quality assessment, and the overall quality of evidence was assessed using the GRADEpro GDT. Results A total of 19 studies (15 cohort, four case-control) with 108,084 participants were included. We found that better higher diet quality before or during pregnancy reduced the risk of developing gestational diabetes mellitus, including a higher Mediterranean diet (OR: 0.51; 95% CI: 0.30-0.86), dietary approaches to stop hypertension (OR: 0.66; 95% CI: 0.44-0.97), Alternate Healthy Eating Index (OR: 0.61; 95% CI: 0.44-0.83), overall plant-based diet index (OR: 0.57; 95% CI: 0.41-0.78), and adherence to national dietary guidelines (OR: 0.39; 95% CI:0.31-0.48). However, poorer diet quality increased the risk of gestational diabetes mellitus, including a higher dietary inflammatory index (OR: 1.37; 95% CI: 1.21-1.57) and overall low-carbohydrate diets (OR: 1.41; 95% CI: 1.22-1.64). After meta-regression, subgroup, and sensitivity analyses, the results remained statistically significant. Conclusions Before and during pregnancy, higher diet quality reduced the risk of developing gestational diabetes mellitus, whereas poorer diet quality increased this risk. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022372488.
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Affiliation(s)
- Xiaoxia Gao
- School of Nursing, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China
| | - Qingxiang Zheng
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Xiumin Jiang
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China,*Correspondence: Xiumin Jiang ✉
| | - Xiaoqian Chen
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yanping Liao
- School of Nursing, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China
| | - Yuqing Pan
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
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Hong Y, Yang C, Zhong J, Hou Y, Xie K, Wang L. Dietary Plant Protein Intake Can Reduce Maternal Insulin Resistance during Pregnancy. Nutrients 2022; 14:nu14235039. [PMID: 36501068 PMCID: PMC9740834 DOI: 10.3390/nu14235039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
Evidence suggests that the source of dietary protein may have an impact on insulin resistance, but no studies have explored it in pregnant populations. In this study, we combined a population study and an animal experiment to explore this effect. The population study was conducted with data from NHANES. Multiple linear regression was used to observe the association of protein intake with outcomes, including fasting glucose (GLU), insulin (INS), and HOMA-IR. In the animal experiment, 36 pregnant SD rats in three groups were orally administered 100% animal protein, 50% animal protein and 50% plant protein, or 100% plant protein, respectively. The intervention continued throughout the whole pregnancy. On day 19.5, maternal plasma was collected after overnight fasting, and metabolomics was performed using UPLC-MS. We found plant protein intake was negatively correlated with INS and HOMA-IR in the whole population. During the third trimester, a similar correlation was also observed. The animal experiment also presented the same result. In metabolomic analysis, changes in various metabolites and related pathways including FoxO and mTOR signaling pathways were observed. In conclusion, we found a negative association between dietary plant protein intake and maternal insulin resistance during pregnancy. Changes in some active substances and related metabolic pathways may play an important role.
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Affiliation(s)
- Yuting Hong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Chen Yang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jinjing Zhong
- Ausnutria Hyproca Nutrition Co., Ltd., Changsha 410000, China
| | - Yanmei Hou
- Ausnutria Hyproca Nutrition Co., Ltd., Changsha 410000, China
| | - Kui Xie
- Ausnutria Hyproca Nutrition Co., Ltd., Changsha 410000, China
| | - Linlin Wang
- Ausnutria Hyproca Nutrition Co., Ltd., Changsha 410000, China
- Correspondence:
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Zhong C, Chen R, Zhou X, Zhang Y, Liu C, Huang L, Li Q, Xu S, Chen X, Xiong T, Wang W, Gao Q, Zhang H, Wu Y, Hong M, Wu J, Cui W, Li X, Wang W, Lin L, Wang H, Gao D, Li N, Li D, Zhang G, Wang X, Zhang X, Wu M, Yang S, Cao X, Tan T, Tu M, Guo J, Hu W, Zhu W, Xiao D, Gong L, Zhang H, Liu J, Yang S, Wei S, Xiao M, Sun G, Xiong G, Ni Z, Wang J, Jin Z, Yang X, Hao L, Yang H, Yang N. Cohort Profile: The Tongji Maternal and Child Health Cohort (TMCHC). Int J Epidemiol 2022; 52:e152-e161. [PMID: 36343093 DOI: 10.1093/ije/dyac209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Weiye Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Hongmin Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jiangyue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Duan Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Nan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - De Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Guofu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jingrong Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenqi Hu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenwen Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Lin Gong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Mei Xiao
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
- Department of Integrated Traditional and Western Medicine, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Guoqiang Sun
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
- Department of Integrated Traditional and Western Medicine, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan , Wuhan, China
| | - Zemin Ni
- Jiang'an Maternal and Child Health Hospital , Wuhan, China
| | - Jing Wang
- Jiang'an Maternal and Child Health Hospital , Wuhan, China
| | - Zhichun Jin
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention , Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
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10
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Gadgil MD, Ingram KH, Appiah D, Rudd J, Whitaker KM, Bennett WL, Shikany JM, Jacobs DR, Lewis CE, Gunderson EP. Prepregnancy Protein Source and BCAA Intake Are Associated with Gestational Diabetes Mellitus in the CARDIA Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192114142. [PMID: 36361016 PMCID: PMC9658365 DOI: 10.3390/ijerph192114142] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 06/03/2023]
Abstract
Diet quality and protein source are associated with type 2 diabetes, however relationships with GDM are less clear. This study aimed to determine whether prepregnancy diet quality and protein source are associated with gestational diabetes mellitus (GDM). Participants were 1314 Black and White women without diabetes, who had at least one birth during 25 years of follow-up in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. The CARDIA A Priori Diet Quality Score (APDQS) was assessed in the overall cohort at enrollment and again at Year 7. Protein source and branched-chain amino acid (BCAA) intake were assessed only at the Year 7 exam (n = 565). Logistic regression analysis was used to determine associations between prepregnancy dietary factors and GDM. Women who developed GDM (n = 161) were more likely to have prepregnancy obesity and a family history of diabetes (p < 0.05). GDM was not associated with prepregnancy diet quality at enrollment (Year 0) (odds ratio [OR]: 1.01; 95% confidence interval [CI] 0.99, 1.02) or Year 7 (odds ratio [OR]: 0.97; 95% confidence interval [CI] 0.94, 1.00) in an adjusted model. Conversely, BCAA intake (OR:1.59, 95% CI 1.03, 2.43) and animal protein intake (OR: 1.06, 95% CI 1.02, 1.10) as a proportion of total protein intake, were associated with increased odds of GDM, while proportion of plant protein was associated with decreased odds of GDM (OR: 0.95, 95% CI 0.91, 0.99). In conclusion, GDM is strongly associated with source of prepregnancy dietary protein intake but not APDQS in the CARDIA study.
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Affiliation(s)
- Meghana D. Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Katherine H. Ingram
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center of Statistics and Analytical Sciences, Lubbock, TX 79409, USA
| | - Jessica Rudd
- Department of Statistics and Analytical Sciences, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, Department of Epidemiology, University of Iowa, Iowa City, IA 52242, USA
| | - Wendy L. Bennett
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, USA
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11
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Messina M, Duncan A, Messina V, Lynch H, Kiel J, Erdman JW. The health effects of soy: A reference guide for health professionals. Front Nutr 2022; 9:970364. [PMID: 36034914 PMCID: PMC9410752 DOI: 10.3389/fnut.2022.970364] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/25/2022] [Indexed: 11/22/2022] Open
Abstract
Soy is a hotly debated and widely discussed topic in the field of nutrition. However, health practitioners may be ill-equipped to counsel clients and patients about the use of soyfoods because of the enormous, and often contradictory, amount of research that has been published over the past 30 years. As interest in plant-based diets increases, there will be increased pressure for practitioners to gain a working knowledge of this area. The purpose of this review is to provide concise literature summaries (400-500 words) along with a short perspective on the current state of knowledge of a wide range of topics related to soy, from the cholesterol-lowering effects of soy protein to the impact of isoflavones on breast cancer risk. In addition to the literature summaries, general background information on soyfoods, soy protein, and isoflavones is provided. This analysis can serve as a tool for health professionals to be used when discussing soyfoods with their clients and patients.
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Affiliation(s)
- Mark Messina
- Soy Nutrition Institute Global, Washington, DC, United States
| | - Alison Duncan
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | | | - Heidi Lynch
- Kinesiology Department, Point Loma Nazarene University, San Diego, CA, United States
| | - Jessica Kiel
- Scientific and Clinical Affairs, Medifast Inc., Baltimore, MD, United States
| | - John W. Erdman
- Division of Nutritional Sciences and Beckman Institute, Department of Food Science and Human Nutrition, University of Illinois at Urbana/Champaign, Urbana, IL, United States
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