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Fotouhi Ardakani A, Anjom-Shoae J, Sadeghi O, Marathe CS, Feinle-Bisset C, Horowitz M. Association between total, animal, and plant protein intake and type 2 diabetes risk in adults: A systematic review and dose-response meta-analysis of prospective cohort studies. Clin Nutr 2024; 43:1941-1955. [PMID: 39032197 DOI: 10.1016/j.clnu.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 06/04/2024] [Accepted: 07/03/2024] [Indexed: 07/22/2024]
Abstract
BACKGROUND AND AIMS While clinical studies indicate that dietary protein may benefit glucose homeostasis in type 2 diabetes (T2D), the impact of dietary protein, including whether the protein is of animal or plant origin, on the risk of T2D is uncertain. We conducted a systematic review and meta-analysis to evaluate the associations of total, animal, and plant protein intakes with the risk of T2D. METHODS A systematic search was performed using multiple data sources, including PubMed/Medline, ISI Web of Science, Scopus, and Google Scholar, with the data cut-off in May 2023. Our selection criteria focused on prospective cohort studies that reported risk estimates for the association between protein intake and T2D risk. For data synthesis, we calculated summary relative risks and 95% confidence intervals for the highest versus lowest categories of protein intake using random-effects models. Furthermore, we conducted both linear and non-linear dose-response analyses to assess the dose-response associations between protein intake and T2D risk. RESULTS Sixteen prospective cohort studies, involving 615,125 participants and 52,342 T2D cases, were identified, of which eleven studies reported data on intake of both animal and plant protein. Intakes of total (pooled effect size: 1.14, 95% CI: 1.04-1.24) and animal (pooled effect size: 1.18, 95% CI: 1.09-1.27) protein were associated with an increased risk of T2D. These effects were dose-related - each 20-g increase in total or animal protein intake increased the risk of T2D by ∼3% and ∼7%, respectively. In contrast, there was no association between intake of plant protein and T2D risk (pooled effect size: 0.98, 95% CI: 0.89-1.08), while replacing animal with plant protein intake (per each 20 g) was associated with a reduced risk of T2D (pooled effect size: 0.80, 95% CI: 0.76-0.84). CONCLUSIONS Our findings indicate that long-term consumption of animal, but not plant, protein is associated with a significant and dose-dependent increase in the risk of T2D, with the implication that replacement of animal with plant protein intake may lower the risk of T2D.
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Affiliation(s)
- Amirmahdi Fotouhi Ardakani
- Student Research Committee, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran; Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Javad Anjom-Shoae
- Adelaide Medical School, University of Adelaide, Adelaide, Australia; Centre of Research Excellence in Translating Nutritional Sciences to Good Health, University of Adelaide, Adelaide, Australia
| | - Omid Sadeghi
- Nutrition and Food Security Research Centre and Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Chinmay S Marathe
- Adelaide Medical School, University of Adelaide, Adelaide, Australia; Centre of Research Excellence in Translating Nutritional Sciences to Good Health, University of Adelaide, Adelaide, Australia; Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, Australia.
| | - Christine Feinle-Bisset
- Adelaide Medical School, University of Adelaide, Adelaide, Australia; Centre of Research Excellence in Translating Nutritional Sciences to Good Health, University of Adelaide, Adelaide, Australia
| | - Michael Horowitz
- Adelaide Medical School, University of Adelaide, Adelaide, Australia; Centre of Research Excellence in Translating Nutritional Sciences to Good Health, University of Adelaide, Adelaide, Australia; Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, Australia
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Shan X, Peng C, Zou H, Pan Y, Wu M, Xie Q, Lin Q. Association of Vegetables-Fruits Dietary Patterns with Gestational Diabetes Mellitus: Mediating Effects of Gut Microbiota. Nutrients 2024; 16:2300. [PMID: 39064743 PMCID: PMC11279562 DOI: 10.3390/nu16142300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Introduction: Previous studies have found that diet can change gut microbiota, thereby affecting metabolic health. However, research on gestational diabetes mellitus (GDM) is still limited. Our study aimed to explore the mediating role of gut microbiota in the relationship between dietary patterns and GDM. (2) Methods: In this case-control study, 107 women with GDM at 24-28 weeks of gestation and 78 healthy pregnant women were enrolled. A semi-quantitative food frequency questionnaire (FFQ) was used to assess dietary intake over the previous month. Mediation analysis was performed to explore the link between dietary patterns, gut microbiota, and GDM. (3) Results: Among the five dietary patterns extracted, the high group (factor scores ≥ -0.07) of the vegetables-fruits dietary pattern had a 67% lower risk of developing GDM compared to the low group (factor scores < -0.07) (OR: 0.33; 95% CI: 0.15-0.74). In addition, a significant alteration was observed in gut microbiota composition among GDM pregnant women. Mediation analysis showed that the Lachnospiraceae family, Blautia, and Ruminococcus genus partially mediated the effect of vegetables-fruits dietary pattern on GDM, explaining 45.81%, 44.33%, and 31.53% of the association, respectively. (4) Conclusions: Adherence to vegetables-fruits dietary patterns during pregnancy may reduce the risk of GDM by altering gut microbiota composition.
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Affiliation(s)
| | | | | | | | | | | | - Qian Lin
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha 410006, China; (X.S.); (C.P.); (H.Z.); (Y.P.); (M.W.); (Q.X.)
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Stennett RN, Gerstein HC, Bangdiwala SI, Rafiq T, Teo KK, Morrison KM, Atkinson SA, Anand SS, de Souza RJ. The association of red and processed meat with gestational diabetes mellitus: Results from 2 Canadian birth cohort studies. PLoS One 2024; 19:e0302208. [PMID: 38814912 PMCID: PMC11139301 DOI: 10.1371/journal.pone.0302208] [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: 08/05/2022] [Accepted: 03/30/2024] [Indexed: 06/01/2024] Open
Abstract
OBJECTIVE Red and processed meat is considered risk factors of gestational diabetes mellitus (GDM), but the evidence is inconclusive. We aimed to examine the association between red and processed meat intake and odds of GDM among South Asian and White European women living in Canada. METHODS This is a cross-sectional analysis of pregnant women from two birth cohorts: SouTh Asian biRth cohorT (START; n = 976) and Family Atherosclerosis Monitoring In earLY life (FAMILY; n = 581). Dietary intake was assessed using a validated 169-item semi-quantitative food-frequency questionnaire (FFQ). Multivariate logistic regression models were used to examine the associations between gestational diabetes and: 1) total red and processed meat; 2) unprocessed red meat; 3) processed meat and GDM after adjustment for potential confounders. RESULTS There were 241 GDM cases in START and 91 in FAMILY. The median total red and processed meat intake were 1.5 g/d (START) and 52.8 g/d (FAMILY). In START, the multivariable-adjusted odds ratio (OR) showed neither lower nor higher intakes of unprocessed red meat (p-trend = 0.68), processed meat (p-trend = 0.90), or total red and processed meat (p-trend = 0.44), were associated with increased odds of GDM, when compared with medium intake. Similar results were observed in FAMILY except for processed meat intake [OR = 0.94 (95% CI 0.47-1.91), for medium versus low and OR = 1.51 (95% CI 0.77-2.29) for medium versus high; p-trend = 0.18] after adjusting for additional dietary factors such as the diet quality score, total fiber, saturated fat and glycemic load. CONCLUSION Medium compared with low or high red and processed meat intake is not associated with GDM in White Europeans and South Asians living in Canada.
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Affiliation(s)
- Rosain N. Stennett
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
| | - Hertzel C. Gerstein
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Shrikant I. Bangdiwala
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Talha Rafiq
- Faculty of Health Sciences, Medical Sciences Graduate Program, McMaster University, Hamilton, ON, Canada
| | - Koon K. Teo
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Katherine M. Morrison
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
- McMaster Children’s Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Stephanie A. Atkinson
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
- McMaster Children’s Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Sonia S. Anand
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Russell J. de Souza
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
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Wei X, Zou H, Zhang T, Huo Y, Yang J, Wang Z, Li Y, Zhao J. Gestational Diabetes Mellitus: What Can Medical Nutrition Therapy Do? Nutrients 2024; 16:1217. [PMID: 38674907 PMCID: PMC11055016 DOI: 10.3390/nu16081217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/12/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is one of the common complications during pregnancy. Numerous studies have shown that GDM is associated with a series of adverse effects on both mothers and offspring. Due to the particularity of pregnancy, medical nutrition treatment is considered to be the first choice for the treatment of GDM. This contribution reviews the research progress of medical nutrition treatment in GDM, summarizes the international recommendations on the intake of various nutrients and the influence of nutrients on the prevalence of GDM, and the improvement effect of nutritional intervention on it, in order to provide references for research in related fields of GDM and the targeted development of enteral nutrition.
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Affiliation(s)
- Xiaoyi Wei
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
| | - Hong Zou
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
| | - Tingting Zhang
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
| | - Yanling Huo
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
| | - Jianzhong Yang
- Sunline Research Laboratories, Jiangsu Sunline Deep Sea Fishery Co., Ltd., Lianyungang 222042, China; (J.Y.); (Z.W.)
| | - Zhi Wang
- Sunline Research Laboratories, Jiangsu Sunline Deep Sea Fishery Co., Ltd., Lianyungang 222042, China; (J.Y.); (Z.W.)
| | - Yu Li
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
| | - Jiuxiang Zhao
- CAS Engineering Laboratory for Nutrition, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; (X.W.); (H.Z.); (T.Z.); (Y.H.); (Y.L.)
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Zhao R, Wang X, Liu H, Wang S, Zhou L, Cui N, Guo S, Xiong G, Yang X, Xiong T, Hao L. Effect of Dietary Protein Intake from Different Sources on Maternal and Umbilical Cord Plasma Amino Acid Levels. Mol Nutr Food Res 2024; 68:e2200891. [PMID: 38327156 DOI: 10.1002/mnfr.202200891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 11/25/2023] [Indexed: 02/09/2024]
Abstract
SCOPE To assess the associations of dietary protein intake from different sources during pregnancy with maternal and umbilical cord plasma amino acid levels. METHODS AND RESULTS The study includes 216 pregnant women and 39 newborns from the Tongji Birth Cohort in Wuhan, China. The study examines the levels of 21 amino acids in maternal and cord plasma samples using ultra-performance liquid chromatography with tandem mass spectrometry. A significant positive relationship is observed between dietary protein intake from refined grains and maternal plasma cysteine levels. Dietary protein intake from dairy products is positively associated with maternal plasma levels of sulfur amino acid (mainly cystine), but negatively associated with maternal plasma levels of glutamic acid. In addition, the study observes that pre-pregnancy body mass index and parity may be potential determinants of maternal plasma amino acid levels, whereas a history of passive smoking during pregnancy is an important factor influencing cord plasma amino acid levels. CONCLUSIONS These findings suggest that dietary protein intakes from specific sources during pregnancy may affect maternal plasma levels of amino acids.
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Affiliation(s)
- Rui Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Department of Clinical Nutrition, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, 250014, China
| | - Xinzheng Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Hongjuan Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shanshan Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Leilei Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Ningning Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shu Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Wuhan, Hubei, 430014, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, 511436, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
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Chen X, Zhang Y, Lin L, Huang L, Zhong C, Li Q, Tan T, Wang W, Zhang H, Liu J, Sun G, Yi N, Yang X, Hao L, Yang H, Yang N. A Healthy, Low-Carbohydrate Diet During Pregnancy Is Associated With a Reduced Risk of Gestational Diabetes Mellitus. J Clin Endocrinol Metab 2024; 109:e956-e964. [PMID: 38057161 DOI: 10.1210/clinem/dgad705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/10/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023]
Abstract
CONTEXT Evidence on the associations of low-carbohydrate diet (LCD) during pregnancy with gestational diabetes mellitus (GDM) has been limited and inconsistent. OBJECTIVE We aimed to prospectively evaluate the risk of GDM associated with the LCD considering the quality of macronutrients. METHODS All participants were from a prospective cohort in Wuhan, China. The overall, healthy LCD (emphasizing low-quality carbohydrates, plant protein, and unsaturated fat), and unhealthy LCD (emphasizing high-quality carbohydrates, animal protein, and saturated fat) scores were calculated according to the percentage of energy intake from carbohydrates, protein, and fat. GDM was screened by a 75-g oral glucose tolerance test between 24 and 28 weeks. Poisson regression models were used to calculate relative risks (RRs) and 95% CIs. RESULTS Of 2337 pregnant women, 257 (11.0%) were diagnosed with GDM. Overall LCD score was not associated with risk of GDM, but the healthy and unhealthy LCD scores were associated with the risk of GDM. The multivariable-adjusted RRs (95% CI) were 0.68 (0.49-0.94) and 1.52 (1.11-2.08) for healthy and unhealthy LCD scores comparing the highest with the lowest quartile. Substituting high-quality carbohydrates for low-quality carbohydrates and animal protein, and substituting unsaturated fat for saturated fat, were associated with a 13% to 29% lower risk of GDM. CONCLUSION A healthy LCD during pregnancy characterized by high-quality carbohydrates, plant protein, and unsaturated fat was associated with a lower risk of GDM, whereas an unhealthy LCD consisting of low-quality carbohydrates, animal protein, and saturated fat was associated with a higher risk of GDM.
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Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Yuhao Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Guoqiang Sun
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, PR China
| | - Nianhua Yi
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, PR China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430030, PR China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
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7
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Luo T, Chen H, Wei H, Yang Y, Wei F, Chen W. Dietary protein in early pregnancy and gestational diabetes mellitus: a prospective cohort study. Endocrine 2024; 83:357-367. [PMID: 37721649 DOI: 10.1007/s12020-023-03517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/30/2023] [Indexed: 09/19/2023]
Abstract
PURPOSE The relationship between dietary protein intake and the risk of gestational diabetes mellitus (GDM) remains inconsistent and unclear. Here, we examined the correlation between the various sources of protein intake among Chinese pregnant women and GDM. METHODS This prospective cohort study included 1060 pregnant women at 6-13+6 weeks of gestation from Guangdong Provincial Hospital for Women and Children, South China. The participants' intake of dietary protein was assessed using a validated quantitative food frequency questionnaire during the early trimester. GDM was diagnosed via an oral glucose tolerance test performed at 24-28 gestational weeks. Logistic regression analysis was used to evaluate the association between dietary protein intake during pregnancy and GDM. Furthermore, we applied restricted cubic splines to determine their linear relationship. RESULTS About 26.3% (n = 279) of pregnant women were diagnosed with GDM. Animal protein intake was revealed to have a positive correlation with GDM risk (Q4 vs. Q1: OR, 2.78; 95% CI, 1.46-5.34; P = 0.015), whereas high intake levels of dietary plant protein were linked to reduced GDM risk (Q4 vs. Q1: OR, 0.43; 95% CI, 0.25-0.73). In stratified analysis, the relationship between protein and GDM was stronger during early pregnancy in women with obesity. However, total protein intake did not show a significant association with GDM. CONCLUSIONS Our study findings suggest that a plant protein-based diet was associated with reduced GDM risk, whereas the dietary intake of animal protein was positively associated with GDM risk among Chinese women during early pregnancy.
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Affiliation(s)
- Tingyu Luo
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510000, China
| | - Hongyan Chen
- Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, 518000, China
| | - Huixin Wei
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510000, China
| | - Yiling Yang
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510000, China
| | - Fengxiang Wei
- Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, 518000, China
| | - Weiqiang Chen
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, 510000, China.
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8
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Hajhashemy Z, Bagherniya M, Sadeghi O, Askari G. The relation of dietary protein intake before and during the pregnancy with gestational diabetes mellitus (GDM): A GRADE-assessed systematic review and dose-response meta-analysis of epidemiologic studies. Clin Nutr 2024; 43:505-518. [PMID: 38215681 DOI: 10.1016/j.clnu.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND Although previous studies investigated the relation of protein intake and gestational diabetes mellitus (GDM), their findings were controversial. Therefore, we aimed to summarize this association, through a comprehensive systematic review and dose-response meta-analysis. METHODS Electronic databases including MEDLINE (PubMed), ISI Web of Science, Scopus and motor engineering of Google Scholar were systematically searched up to April 2023. Observational studies which investigated odds of GDM in relation to protein intake were included. RESULTS A total of 31,005 participants with 3451 cases of GDM from 13 eligible investigations were included in the systematic review and meta-analysis. Comparing the highest and lowest intakes of total, animal, and plant proteins revealed the summary RRs of 1.82 (95% CI: 1.42, 2.33), 1.79 (95% CI: 1.50, 2.14), and 0.98 (95% CI: 0.81, 1.20), respectively, indicating a significant positive association between total and animal protein intake and GDM. In the dose-response analyses, each 5% increment in energy intake from total protein during pregnancy was related to 20% increased odds of GDM (RR = 1.20; 95% CI: 1.09, 1.33). In the non-linear dose-response analyses, we found a non-linear association for animal protein intake during pregnancy (P for non-linearity <0.001); so that, a risk increase was seen from zero to 10% of energy intake from animal proteins, however, a risk reduction was seen after 10% of energy intake. However, there was not any significant non-linear trend between plant protein intake during pregnancy and risk of GDM. Based on the GRADE assessment, the quality of evidence for total, animal and plant protein was rated as "moderate", "moderate" and "very low", respectively. CONCLUSION We found a significant positive association between total protein intake and GDM; however, the associations of animal and plant protein intake with GDM were dose-dependent.
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Affiliation(s)
- Zahra Hajhashemy
- Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran; Nutrition and Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Bagherniya
- Nutrition and Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Omid Sadeghi
- Nutrition and Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Gholamreza Askari
- Nutrition and Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
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Lizárraga D, Gómez-Gil B, García-Gasca T, Ávalos-Soriano A, Casarini L, Salazar-Oroz A, García-Gasca A. Gestational diabetes mellitus: genetic factors, epigenetic alterations, and microbial composition. Acta Diabetol 2024; 61:1-17. [PMID: 37660305 DOI: 10.1007/s00592-023-02176-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/18/2023] [Indexed: 09/05/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder, usually diagnosed during the third trimester of pregnancy that usually disappears after delivery. In GDM, the excess of glucose, fatty acids, and amino acids results in foetuses large for gestational age. Hyperglycaemia and insulin resistance accelerate the metabolism, raising the oxygen demand, and creating chronic hypoxia and inflammation. Women who experienced GDM and their offspring are at risk of developing type-2 diabetes, obesity, and other metabolic or cardiovascular conditions later in life. Genetic factors may predispose the development of GDM; however, they do not account for all GDM cases; lifestyle and diet also play important roles in GDM development by modulating epigenetic signatures and the body's microbial composition; therefore, this is a condition with a complex, multifactorial aetiology. In this context, we revised published reports describing GDM-associated single-nucleotide polymorphisms (SNPs), DNA methylation and microRNA expression in different tissues (such as placenta, umbilical cord, adipose tissue, and peripheral blood), and microbial composition in the gut, oral cavity, and vagina from pregnant women with GDM, as well as the bacterial composition of the offspring. Altogether, these reports indicate that a number of SNPs are associated to GDM phenotypes and may predispose the development of the disease. However, extrinsic factors (lifestyle, nutrition) modulate, through epigenetic mechanisms, the risk of developing the disease, and some association exists between the microbial composition with GDM in an organ-specific manner. Genes, epigenetic signatures, and microbiota could be transferred to the offspring, increasing the possibility of developing chronic degenerative conditions through postnatal life.
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Affiliation(s)
- Dennise Lizárraga
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Bruno Gómez-Gil
- Laboratory of Microbial Genomics, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Teresa García-Gasca
- Laboratory of Molecular and Cellular Biology, Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias s/n, 76230, Juriquilla, Querétaro, Mexico
| | - Anaguiven Ávalos-Soriano
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Livio Casarini
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125, Modena, Italy
| | - Azucena Salazar-Oroz
- Maternal-Fetal Department, Instituto Vidalia, Hospital Sharp Mazatlán, Avenida Rafael Buelna y Dr. Jesús Kumate s/n, 82126, Mazatlán, Sinaloa, Mexico
| | - Alejandra García-Gasca
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico.
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Gong K, Xie L, Cao Y, Yu X, Qiang W, Fan T, Zhu T, Liu J, Tao F, Zhu B. Joint Association of Dietary Protein Intake and Eating Habits with the Risk of Gestational Diabetes Mellitus: A Case-Control Study. Nutrients 2023; 15:4332. [PMID: 37892408 PMCID: PMC10610363 DOI: 10.3390/nu15204332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/04/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
Because the associations between different dietary protein sources and the risks of gestational diabetes mellitus (GDM) are inconsistent, and those of eating habits with GDM have rarely been explored, we aimed to investigate the independent and joint association of major dietary protein sources and eating habits with GDM in a case-control study including 353 GDM cases and 718 controls in China. Dietary protein intake and eating habits prior to GDM diagnosis were collected through questionnaires at 24~28 gestational weeks. Multivariate logistic regression was used to evaluate the independent and joint associations of dietary protein intake and eating habits with GDM. The Anderson model was used assess if there is an additive interaction between them. Animal protein, red meat protein and dairy products protein intake were significantly and positively associated with GDM. Among the eating habits, preferences for hot food, firm food and soft food were significantly associated with higher odds of GDM. Individuals with unhealthy eating habits and high dietary protein simultaneously had the highest odds of GDM, and the ORs were 2.06 (1.25, 3.41) for the total protein, 2.97 (1.78, 4.96) for animal meat, 3.98 (2.41, 6.57) for the red meat protein and 2.82 (1.81, 4.41) for the dairy protein; the p values for the trend were all significant (p < 0.001). However, no additive interaction was detected. In conclusion, our study found that dietary protein intake and eating habits prior to GDM diagnosis were both independently and jointly associated with the odds of GDM.
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Affiliation(s)
- Kexin Gong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Lanci Xie
- Ma’anshan Maternal and Child Health Care Hospital, Ma’anshan 243011, China;
| | - Yidan Cao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Xiayan Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Wenjing Qiang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Tuyan Fan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Tianli Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Jingjing Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
| | - Beibei Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China; (K.G.); (Y.C.); (X.Y.); (W.Q.); (T.F.); (T.Z.); (J.L.); (F.T.)
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, No 81 Meishan Road, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, China
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Kim SY, Kim M. What is on plates for school meals: focusing on animal- vs. plant-based protein foods. Nutr Res Pract 2023; 17:1028-1041. [PMID: 37780218 PMCID: PMC10522810 DOI: 10.4162/nrp.2023.17.5.1028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/29/2023] [Accepted: 07/26/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND/OBJECTIVES This study aimed to analyze the potential of school meals in South Korea as a sustainable tool to reduce carbon emissions by focusing on animal- vs. plant-based protein foods. MATERIALS/METHODS By using a stratified proportional allocation method, 536 out of the 11,082 schools nationwide were selected including 21 kindergartens, 287 elementary-, 120 middle- and 108 high schools. A total of 2,680 meals served for 5 consecutive days (June 21-25, 2021) were collected. We analyzed the average serving amounts of protein foods (animal- vs. plant-based) per meal and then, calculated the estimated average amounts of carbon emission equivalents per meal by applying the conversion coefficients. The t-test and analysis of variance were used for statistical analyses (α = 0.05). RESULTS The average serving amount of animal-based protein foods per meal was 12.5 g, which was approximately 3 times higher than that of plant-based ones (3.8 g) (P < 0.001); the Meat-group had the highest average amount of 17.0 g, followed by Egg-group (9.6 g), Fish-group (7.6 g), and Beans-and-Nuts-group (3.8 g) (P < 0.05). Specifically, pork (25.1 g) was ranked first, followed by poultry (19.6 g), processed meat products (18.0 g). The estimated average amount of carbon emission equivalents of animal-based protein foods per meal was 80.1 g CO2e, which was approximately 31 times higher than that of plant-based ones (2.6 g CO2e) (P < 0.001); the Meat-group had the highest average amount of 120.3 g CO2e, followed by Fish-group (44.5 g CO2e), Egg-group (25.9 g CO2e), and Beans-and-Nuts-group (2.6 g CO2e) (P < 0.05). Specifically, processed meat products (270.8 g CO2e) were ranked first, followed by pork (91.7 g CO2e), and processed fish products (86.6 g CO2e). CONCLUSIONS The results implied that school meals with plant-based alternatives could be a sustainable tool to improve carbon footprint.
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Affiliation(s)
- So-Young Kim
- Department of Food Science and Nutrition, Soonchunhyang University, Asan 31538, Korea
| | - Meeyoung Kim
- Department of Food and Nutrition, Kongju National University, Yesan 32439, Korea
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Jovandaric MZ, Babic S, Raus M, Medjo B. The Importance of Metabolic and Environmental Factors in the Occurrence of Oxidative Stress during Pregnancy. Int J Mol Sci 2023; 24:11964. [PMID: 37569340 PMCID: PMC10418910 DOI: 10.3390/ijms241511964] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/16/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Metabolic changes in pregnant women begin in the first weeks after conception under the influence of placental hormones that affect the metabolism of all nutrients. An increased concentration of total lipids accompanies pregnancy and an increased accumulation of triglycerides in low-density lipoproteins (LDL) particles. Lipids in small dense LDL particles are more susceptible to oxidative modification than normal-density LDL particles. Unlike LDL high-density lipoproteins (HDL), lipoprotein particles have an atheroprotective role in lipid metabolism. The very growth of the fetus depends on the nutrition of both parents, so obesity is not only in the mother but also in the father. Nutritional programming of the offspring occurs through changes in lipid metabolism and leads to an increased risk for cardiometabolic diseases. Pregnancy is accompanied by an increased need for oxygen in the mitochondria of the placenta and a tendency to develop oxidative stress. Oxidative stress represents a disturbance in the balance of oxidation-reduction processes in the body that occurs due to the excessive production of free oxygen radicals that cellular homeostatic mechanisms are unable to neutralize. When the balance with the antioxidant system is disturbed, which happens when free oxygen radicals are in high concentrations, serious damage to biological molecules occurs, resulting in a series of pathophysiological and pathological changes, including cell death. Therefore, oxidative stress plays a significant role in the pathogenesis of many complications that can occur during pregnancy. The oxidative status of pregnant women is also influenced by socioeconomic living conditions, lifestyle habits, diet, smoking, and exposure to environmental air pollution. During a healthy pregnancy, the altered lipid profile and oxidative stress create an increased risk for premature birth and pregnancy-related diseases, and a predisposition to adult diseases.
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Affiliation(s)
- Miljana Z. Jovandaric
- Department of Neonatology, Clinic for Gynecology and Obstetrics, University Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Sandra Babic
- Department of Gynecology and Obstetrics, Clinic for Gynecology and Obstetrics, University Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Misela Raus
- Department of Neonatology, University Children’s Hospital, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Biljana Medjo
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
- Department Pediatrics and Neonatal Intensive Care, University Children’s Hospital, 11000 Belgrade, Serbia
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Tranidou A, Dagklis T, Magriplis E, Apostolopoulou A, Tsakiridis I, Chroni V, Tsekitsidi E, Kalaitzopoulou I, Pazaras N, Chourdakis M. Pre-Pregnancy Adherence to Mediterranean Diet and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study in Greece. Nutrients 2023; 15:nu15040848. [PMID: 36839206 PMCID: PMC9967881 DOI: 10.3390/nu15040848] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM) is a growing epidemic affecting pregnant women and their offspring. This study aimed to identify the relationship between adherence to a Mediterranean diet (MD) before conception and the risk of GDM in a contemporary Greek pregnant cohort. A prospective cohort of pregnant women was recruited at the routine first trimester visit. Nutritional intake was evaluated using a population specific validated food frequency questionnaire (FFQ). Pre-pregnancy adherence to MD was derived using two different scoring systems, the Mediterranean diet index score (MDS), and a modified version. Adjusted odds ratios (aOR) were computed using multiple logistic regression models for each score derived. Of 743 participating women, 112 (15.1%) developed GDM. The MDS index showed that scoring 5-9 points (high adherence) was associated with a lower GDM incidence (aOR: 0.57 95% CI (0.32, 0.90), p = 0.02), while the modified MDS index showed no significant association for any level of adherence. Pre-pregnancy consumption of "meat and derivatives" and "fatty meat and processed meat" was associated with a higher risk of GDM, with both scoring systems (p = 0.008, p = 0.004, respectively). A higher adherence to a MD pre-pregnancy, especially with less meat consumption, may have a protective effect on the occurrence of GDM.
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Affiliation(s)
- Antigoni Tranidou
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
| | - Themistoklis Dagklis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
- Correspondence:
| | - Emmanuella Magriplis
- Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Aikaterini Apostolopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Ioannis Tsakiridis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
| | - Violeta Chroni
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Eirini Tsekitsidi
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Ioustini Kalaitzopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Nikolaos Pazaras
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Michail Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Benefits and Risks Associated with Meat Consumption during Key Life Processes and in Relation to the Risk of Chronic Diseases. Foods 2022; 11:foods11142063. [PMID: 35885304 PMCID: PMC9318327 DOI: 10.3390/foods11142063] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/13/2022] [Accepted: 07/04/2022] [Indexed: 02/06/2023] Open
Abstract
Red meat has been an important part of the diet throughout human evolution. Overall, when included as part of a healthy and varied diet, red meat can provide a rich source of bioavailable essential nutrients and high biological value protein. The present paper discusses the dietary role/impact of red and processed meat, with some reference to the relative effect of white meat, in a range of chronic conditions including iron-deficiency anaemia, cardiovascular diseases (CVD), cancer and dementia. The role of red meat in relation to key physiological conditions such as maintaining skeletal muscle and bone health and during pregnancy is also discussed. The inclusion of lean red meat in a healthy, varied diet may be beneficial during these critical conditions. There is however increasing evidence that red meat and especially processed meat are associated with increased risks of CVD, cancer and dementia whereas white meat is neutral or associated with a lower risk. There now seems little doubt that processed and unprocessed meat should have separate public dietary guidance.
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Zhao R, Zhou L, Lei G, Wang S, Li Y, Yang X, Xiong G, Hao L. Dietary Acid Load Is Positively Associated With Risk of Gestational Diabetes Mellitus in a Prospective Cohort of Chinese Pregnant Women. Front Nutr 2022; 9:892698. [PMID: 35694169 PMCID: PMC9184257 DOI: 10.3389/fnut.2022.892698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Growing evidence suggests that dietary acid load plays an important role in the development of type 2 diabetes. However, prospective studies on the relationship between dietary acid load and gestational diabetes mellitus (GDM) are limited in the pregnant population. This study aimed to investigate the effect of dietary acid load during early pregnancy on the risk of GDM in Chinese pregnant women. Methods A total of 1,327 pregnant women were enrolled from an ongoing prospective study of the Tongji Birth cohort (TJBC) in Wuhan, China. Dietary intake was assessed before 20 weeks using a 74-item semiquantitative food frequency questionnaire (FFQ). The dietary acid load was estimated using potential renal acid load (PRAL), net endogenous acid production (NEAP), and animal protein to potassium ratio (A:P ratio). A 75g 2-h oral glucose tolerance test (OGTT) was performed at 24-28 gestational weeks to diagnose GDM. Results The mean (standard deviation) values for PRAL score, NEAP score, and A:P ratio were 0.8 ± 11.3 mEq/day, 45.3 ± 16.5 mEq/day, and 9.8 ± 6.0, respectively. There was a significant positive correlation of dietary acid load with the intake of red meat, poultry, fish, and eggs, and a negative correlation with the intake of vegetables, fruits, nuts, and legumes (all P < 0.05). Compared to the lowest tertile, the highest tertile of dietary acid load, including PRAL score (odds ratio [OR]: 2.26, 95% confidence interval [CI] = 1.38–3.71, P-trend = 0.002), NEAP score (OR: 2.02, 95% CI = 1.25–3.27, P-trend = 0.009), and A:P ratio (2.08, 95% CI = 1.30–3.31, P-trend = 0.005), significantly increased the risk of GDM. In addition, the dietary acid load was also significantly associated with an increase in 1-h and 2-h post-load blood glucose concentrations (all P-trend < 0.05). Conclusion We found a significant positive association between dietary acid load during early pregnancy and the risk of GDM in a Chinese population, suggesting that the reduction of food sources of dietary acid load may be an effective strategy for preventing the risk of GDM.
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Affiliation(s)
- Rui Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Leilei Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Lei
- The Central Hospital of Wuhan, Wuhan, China
| | - Shanshan Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Wuhan, China
- *Correspondence: Guoping Xiong,
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Liping Hao,
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Wu W, Tang N, Zeng J, Jing J, Cai L. Dietary Protein Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women. Nutrients 2022; 14:nu14081623. [PMID: 35458185 PMCID: PMC9026337 DOI: 10.3390/nu14081623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 04/08/2022] [Accepted: 04/11/2022] [Indexed: 11/16/2022] Open
Abstract
Controversies around the association between dietary protein intake and gestational diabetes mellitus (GDM) persist. To the best of our knowledge, this association has not previously been reported from the perspective of dietary protein patterns. We aimed to investigate the relationship between dietary protein patterns and GDM risk in pregnant women, and 1014 pregnant women (20–28 weeks of gestation) were recruited in Guangzhou, China, during 2017–2018. Maternal dietary information was collected by a validated food frequency questionnaire, which covered the most common foods consumed in Guangzhou, China. GDM was identified by a 75g oral glucose tolerance test. A K-means cluster analysis was conducted to aggregate individuals into three groups, which were determined by the major sources of protein. Logistic regression was employed to explore the relationship between dietary protein patterns and the risk of GDM. Among the 1014 participants, 191 (18.84%) were diagnosed with GDM. In the total population, when comparing the highest quartile with the lowest, we found that total protein and animal protein intake increased the risk of GDM with the adjusted odds ratios (95%CI) being 6.27, 5.43 (1.71–23.03, 1.71–17.22), respectively. Pregnant women were further divided into three dietary protein patterns, namely, white meat, plant–dairy–eggs, and red meat protein patterns. Compared to women with the plant–dairy–eggs protein pattern, those with the red meat protein pattern (OR: 1.80; 95%CI: 1.06–3.07) or white meat protein pattern (OR: 1.83; 95%CI: 1.04–3.24) had an increased risk of GDM. Higher dietary intakes of total or animal protein during mid-pregnancy were related to an increased risk of GDM. Furthermore, we first found that, compared to women with the plant–dairy–eggs protein pattern, women with the red meat or white meat protein patterns had a higher risk of GDM.
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Affiliation(s)
- Weijia Wu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (W.W.); (J.J.)
- Department of Scientific Research, Hainan Women and Children’s Medical Center, Haikou 570206, China
| | - Nu Tang
- Department of Health Care, Foshan Women and Children Hospital, Foshan 528000, China;
| | - Jingjing Zeng
- Evidence-Based Medicine Centre, Office of Academic Research, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China;
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (W.W.); (J.J.)
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (W.W.); (J.J.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- Correspondence: ; Tel.: +86-20-87334956
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17
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Todorović J, Dugalić S, Macura M, Gutić B, Milinčić M, Božić D, Stojiljković M, Sbutega-Filipović O, Gojnić M. Nutrition in pregnancy with diabetes mellitus. SANAMED 2022. [DOI: 10.5937/sanamed0-40169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The nutritional needs of diabetic pregnancies are different from normal pregnancies. Differences in nutritional recommendations can also be seen between pregnant women who are using and who are not using insulin therapy. In this literature review, recommendations for different meal proportions of carbohydrates, proteins, and fats in the diets of pregnant women with diabetes mellitus are listed. Different meal plans were also addressed in this group of patients. The role of exercise in the management of diabetes in pregnancy is undeniable and different approaches found in the literature are presented.
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18
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A low-carbohydrate dietary pattern characterised by high animal fat and protein during the first trimester is associated with an increased risk of gestational diabetes mellitus in Chinese women: a prospective cohort study. Br J Nutr 2021; 126:1872-1880. [PMID: 33597060 DOI: 10.1017/s0007114521000611] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
We aimed to examine the association between low-carbohydrate diet (LCD) scores during the first trimester and gestational diabetes mellitus (GDM) risk in a Chinese population. A total of 1455 women were included in 2017. Dietary information during the first trimester was collected by 24-h dietary recalls for 3 d. The overall, animal and plant LCD scores, which indicated adherence to different low-carbohydrate dietary patterns, were calculated. GDM was diagnosed based on the results of a 75-g, 2-h oral glucose tolerance test at 24-28 weeks gestation. Log-binomial models were used to estimate relative risks (RR) and 95 % CI. The results showed that the multivariable-adjusted RR of GDM from the lowest to the highest quartiles of the overall LCD score were 1·00 (reference), 1·15 (95 % CI 0·92, 1·42), 1·30 (95 % CI 1·06, 1·60) and 1·24 (95 % CI 1·01, 1·52) (P = 0·026 for trend). Multivariable-adjusted RR (95 % CI) of GDM from the lowest to the highest quartiles of the animal LCD score were 1·00 (reference), 1·20 (95 % CI 0·96, 1·50), 1·41 (95 % CI 1·14, 1·73) and 1·29 (95 % CI 1·04, 1·59) (P = 0·002 for trend). After additional adjustment for gestational weight gain before GDM diagnosis, the association of the overall LCD score with GDM risk was non-significant, while the association of animal LCD score with GDM risk remained significant. In conclusion, a low-carbohydrate dietary pattern characterised by high animal fat and protein during the first trimester is associated with an increased risk of GDM in Chinese women.
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19
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Yong HY, Mohd Shariff Z, Mohd Yusof BN, Rejali Z, Tee YYS, Bindels J, van der Beek EM. Higher Animal Protein Intake During the Second Trimester of Pregnancy Is Associated With Risk of GDM. Front Nutr 2021; 8:718792. [PMID: 34869515 PMCID: PMC8634888 DOI: 10.3389/fnut.2021.718792] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Aims: This study aimed to examine the associations between the total protein intake as well as types and sources of proteins with the gestational diabetes mellitus (GDM) risk. Method and Results: This was a prospective cohort study of the pregnant women in Malaysia. In this study, the total, animal, and plant protein intakes were assessed using a semi-quantitative food frequency questionnaire. Of the 452 women, 48 (10.62%) were diagnosed with GDM. From pre-pregnancy to second trimester, most of the women had 10-20% of energy intake from protein (88.9-90.3%) and ≥75% of recommended protein intake (74.6-86.5%). The women in the highest tertile (T3) of total animal protein intake [adjusted odds ratio (AOR) = 2.76, 95% CI = 1.27-6.04] and red meat protein (AOR = 2.69, 95% CI = 1.27-5.70), specifically in the second trimester, had significantly higher GDM risk compared with the women in the middle tertile of intake (T2). Interestingly, the women in the T3 of egg protein in the second trimester were significantly at lower GDM risk (AOR = 0.43, 95% CI = 0.18-0.91) compared with those in T2. Conclusion: The highest tertile of animal protein (≥42.15 g/day) intake, particularly red meat protein in the second trimester was positively associated with the GDM risk, whereas the highest tertile of egg protein was inversely associated with the GDM risk. Protein intake before or during early pregnancy was not associated with the GDM risk. These findings underscore the importance of sources and types of protein intake, particularly after the first trimester of pregnancy, in relation to GDM risk.
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Affiliation(s)
- Heng Yaw Yong
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Zalilah Mohd Shariff
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Barakatun Nisak Mohd Yusof
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Zulida Rejali
- Department of Obstetrics and Gynaecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | | | | | - Eline M van der Beek
- Nutricia Research Foundation, Nieuwvee, Netherlands.,Department of Pediatrics, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
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20
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A healthy dietary pattern with a low inflammatory potential reduces the risk of gestational diabetes mellitus. Eur J Nutr 2021; 61:1477-1490. [PMID: 34846602 PMCID: PMC8921111 DOI: 10.1007/s00394-021-02749-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/16/2021] [Indexed: 11/29/2022]
Abstract
Purpose An optimal diet for lowering the risk of gestational diabetes mellitus (GDM) is still to be defined, but may comprise of nutrient intakes, dietary patterns, diet quality, and eating frequency. This study was designed to investigate the contribution of diet in developing GDM in a comprehensive way. Methods The dietary intake of overweight or obese women, a risk group for GDM (n = 351), was assessed using 3-day food diaries and diet quality questionnaires in early pregnancy. Eating frequency and nutrient intakes were calculated, and dietary patterns identified using principal component analysis. The inflammatory potential of the diet was determined by calculating the dietary inflammatory index (DII®) and energy-adjusted DII (E-DII™). GDM was diagnosed with an oral glucose tolerance test at 24–28 gestational weeks. Results Higher adherence to ‘healthier dietary pattern’ characterized by consumptions of vegetables and rye bread associated with a reduced risk of GDM (adjusted OR 0.27, 95% CI 0.11–0.70). Higher E-DII score, indicating pro-inflammatory diet, was associated with a 27% higher risk of GDM (adjusted OR 1.27; 95% CI 1.08–1.49) for each E-DII point. In the evaluation of nutrient intakes, total fat, saturated fatty acids (SFAs), and trans fatty acids were higher and fiber lower in women developing GDM compared to women not developing GDM (all p < 0.05). Intakes of total fat, SFAs, and trans fatty acids were also significant predictors for GDM (all p < 0.05). Conclusions The results emphasize the importance of an overall healthy diet and limitation of foods with SFAs, and other nutrients with a high inflammatory potential in reducing the risk of GDM. Trial registration ClinicalTrials.gov Identifier: NCT01922791, August 14, 2013. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02749-z.
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21
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Popova PV, Pustozerov EA, Tkachuk AS, Grineva EN. Improving nutrition for the prevention of gestational diabetes: Current status and perspectives. World J Diabetes 2021; 12:1494-1506. [PMID: 34630902 PMCID: PMC8472503 DOI: 10.4239/wjd.v12.i9.1494] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/20/2021] [Accepted: 08/16/2021] [Indexed: 02/06/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a common complication of pregnancy and a serious public health problem. It carries significant risks of short-term and long-term adverse health effects for both mothers and their children. Risk factors, especially modifiable risk factors, must be considered to prevent GDM and its consequences. Observational studies have identified several nutritional and lifestyle factors associated with the risk of GDM. The results of intervention studies examining the effects of diet and lifestyle on the prevention of GDM are contradictory. Differences in the study populations, types and intensity of intervention, time frame of the intervention, and diagnostic criteria for GDM may explain the heterogeneity in the results of intervention studies. This review provides an overview of new diets and other factors that may help prevent GDM. The main results of epidemiological studies assessing the risk factors for GDM, as well as the results and methodological problems of intervention studies on the prevention of GDM and their meta-analyses, are discussed. In addition, the evidence that gene and lifestyle interactions influence the development of GDM, as well as prospects for increasing the effectiveness of interventions designed to prevent GDM, including new data on the possible uses of personalized diet therapy, are highlighted.
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Affiliation(s)
- Polina V Popova
- Institute of Endocrinology, Almazov National Medical Research Centre, Saint Petersburg 194156, Russia
- Department of Faculty Therapy, Saint Petersburg Pavlov State Medical University, Saint Petersburg 197022, Russia
| | - Evgenii A Pustozerov
- Institute of Endocrinology, Almazov National Medical Research Centre, Saint Petersburg 194156, Russia
- Department of Biomedical Engineering, Saint Petersburg State Electrotechnical University, Saint Petersburg 197341, Russia
| | - Aleksandra S Tkachuk
- Institute of Endocrinology, Almazov National Medical Research Centre, Saint Petersburg 194156, Russia
| | - Elena N Grineva
- Institute of Endocrinology, Almazov National Medical Research Centre, Saint Petersburg 194156, Russia
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22
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Montagnoli C, Santoro CB, Buzzi T, Bortolus R. Maternal periconceptional nutrition matters. A scoping review of the current literature. J Matern Fetal Neonatal Med 2021; 35:8123-8140. [PMID: 34392783 DOI: 10.1080/14767058.2021.1962843] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The importance of nutrition in reproductive health is widely acknowledged with special emphasis given to periconceptional maternal diet and its implications on embryo-fetal development, pregnancy complications, and the health of the offspring. METHODS Following the PRISMA guidelines, we searched for literature in PubMed, CINAHL, and WoS to gather newer information on how diet composition influences the concepts from the very early stages of pregnancy and how maternal health may be affected as well. Fifty-six studies published up to June 2020 met the inclusion criteria. RESULTS With its proportioned and diversified macronutrient composition, the Mediterranean Diet prevents congenital anomalies, preterm birth, hypertensive disorders, and gestational diabetes. Similar dietary patterns rich in vegetables, nuts, fish, and cereals increase the likelihood of conception and have a protective action, mediated by their antioxidant properties, against orofacial clefts, congenital heart and limb defects in the progeny. Conversely, the pro-inflammatory features of western diets, rich in processed foods and low in fruit content, diminish fertility, increase miscarriage rates, and enhance the risk of neural tube defects regardless of folate supplementation. CONCLUSIONS It may be concluded that within the multiple dietary options, some of them are soundly associated with beneficial effects for the mother and the newborn.Implications for practiceAn appropriate counseling must be offered to the woman of fertile age to make her aware of how periconceptional nutrition may help fulfill her reproductive expectations.
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Affiliation(s)
- Caterina Montagnoli
- Department of Midwifery, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts of Western Switzerland, Geneva, Switzerland
| | | | | | - Renata Bortolus
- Office for Research Promotion, Verona University Hospital, Verona, Italy
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23
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Roustazadeh A, Mir H, Jafarirad S, Mogharab F, Hosseini SA, Abdoli A, Erfanian S. A dietary pattern rich in fruits and dairy products is inversely associated to gestational diabetes: a case-control study in Iran. BMC Endocr Disord 2021; 21:41. [PMID: 33663466 PMCID: PMC7934474 DOI: 10.1186/s12902-021-00707-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 02/23/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) causes many problems for mother and her neonate. A healthy diet plays an important role in preventing GDM. This study aimed to investigate the relationship between major dietary patterns and the GDM. METHODS 386 healthy and 306 GDM pregnant women (total 693) completed this case-control study. Basic information and anthropometric indices were recorded, and a food frequency questionnaire was completed. For extracting major dietary patterns, the principal component analysis was performed. Multivariable logistic regression models were used to examine whether specific dietary patterns are associated to the GDM. RESULTS Four dietary patterns were identified: "fruits and dairy products", "red meat and plant-based foods", "snacks and high-fat foods" and "carbohydrate-rich foods". Among these major extracted dietary patterns, "fruits and dairy products" showed an inverse association to the GDM (odds ratio adjusted for confounders: 0.50, confidence interval: 0.284-0.882, p-trend = 0.019, for highest vs. lowest quartile). CONCLUSIONS It seems using a healthy dietary pattern such as "fruits and dairy products" may decrease GDM risk.
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Affiliation(s)
- Abazar Roustazadeh
- Department of Biochemistry, School of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran
- Department of Advanced Medical Sciences and Technologies, School of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Hamed Mir
- Nutrition and Metabolic Diseases Research Center, Clinical Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Research Center for Non-communicable Diseases, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Sima Jafarirad
- Nutrition and Metabolic Diseases Research Center, Clinical Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Farideh Mogharab
- Department of Advanced Medical Sciences and Technologies, School of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran
- Department of Obstetrics and Gynecology, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Seyed Ahmad Hosseini
- Nutrition and Metabolic Diseases Research Center, Clinical Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Amir Abdoli
- Department of Advanced Medical Sciences and Technologies, School of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Saiedeh Erfanian
- Department of Advanced Medical Sciences and Technologies, School of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran
- Research Center for Non-communicable Diseases, Jahrom University of Medical Sciences, Jahrom, Iran
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24
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Qiao T, Chen Y, Duan R, Chen M, Xue H, Tian G, Liang Y, Zhang J, He F, Yang D, Gong Y, Zhou R, Cheng G. Beyond protein intake: does dietary fat intake in the year preceding pregnancy and during pregnancy have an impact on gestational diabetes mellitus? Eur J Nutr 2021; 60:3461-3472. [PMID: 33661377 PMCID: PMC8354989 DOI: 10.1007/s00394-021-02525-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 02/19/2021] [Indexed: 01/16/2023]
Abstract
Purpose Studies regarding the association between dietary fat intake and gestational diabetes mellitus (GDM) are limited and provide conflicting findings. Thus, the study aims to examine the association of dietary fat intake in the year preceding pregnancy and during pregnancy with the risk of GDM, taking the relevance of dietary protein intake on GDM into consideration. Methods A prospective study was conducted in 6299 singleton pregnancies, using the data from the Nutrition in Pregnancy and Growth in Southwest China (NPGSC). A validated food frequency questionnaire was used to assess dietary fat intake in the year preceding pregnancy and during the first and second trimesters of pregnancy. Logistic regression analysis was used to assess the prospective associations of dietary fat intake and the type and source of dietary fats in different time windows with GDM risk. Results Higher intake of total fat [OR (95% CI): 2.21 (1.19–4.20), P = 0.02] during 12–22 weeks of gestation was associated with higher GDM risk. However, adjustment for animal protein intake greatly attenuated this association [OR (95% CI): 1.81 (0.93, 3.64), P = 0.11]. Total fat intake neither in the year preceding pregnancy nor during the early pregnancy was associated with GDM risk. Moreover, insignificant associations were observed between intakes of vegetable fat, animal fat, cholesterol, saturated fatty acid, monounsaturated fatty acid and polyunsaturated fatty acid one year before pregnancy and during the first and second trimesters and GDM risk. Conclusion Our study indicated that dietary fat intake one year before pregnancy and across the two pregnancy trimesters preceding the diagnosis of GDM has no relevance on GDM risk among Chinese women, particularly those with normal BMI, low, or normal calorie intake.
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Affiliation(s)
- Tian Qiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Yue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Ruonan Duan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Mengxue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Hongmei Xue
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,College of Public Health, Hebei University, Baoding, People's Republic of China
| | - Guo Tian
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China
| | - Yi Liang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,Department of Clinical Nutrition, Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, People's Republic of China
| | - Jieyi Zhang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,Sichuan Provincial Center for Disease Control and Prevention, No. 6 Middle School Road, Chengdu, People's Republic of China
| | - Fang He
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China
| | - Dagang Yang
- Department of Clinical Nutrition, Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, People's Republic of China
| | - Yunhui Gong
- West China Second University Hospital and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Rong Zhou
- West China Second University Hospital and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Guo Cheng
- Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
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25
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Quan W, Zeng M, Jiao Y, Li Y, Xue C, Liu G, Wang Z, Qin F, He Z, Chen J. Western Dietary Patterns, Foods, and Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Adv Nutr 2021; 12:1353-1364. [PMID: 33578428 PMCID: PMC8321835 DOI: 10.1093/advances/nmaa184] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/16/2020] [Accepted: 12/29/2020] [Indexed: 12/12/2022] Open
Abstract
An increasing number of epidemiological studies suggest that adherence to Western dietary patterns (WDPs) is associated with risk of gestational diabetes mellitus (GDM), but results remain inconsistent. Therefore, we conducted a systematic review and meta-analysis of the effect of WDPs and typical Western dietary foods on GDM. A literature search was performed in PubMed, Embase, Web of Knowledge, and the Cochrane Library up to December 2019. Cohort studies investigating the combined associations of WDPs with incidence of GDM were included. Reviewers were paired, and they independently reviewed and assessed studies, extracted data, and evaluated study quality. Pooled HRs were calculated using random-effects models. Heterogeneity and publication bias tests were also conducted. Twenty-one prospective cohort studies with 191,589 participants, including 12,331 women with GDM, were included in our analysis. The pooled risk ratio (RR) of WDPs was 1.52 (95% CI: 1.21, 1.91), indicating a significant association with GDM risk in Western countries. Potatoes (pooled RR: 1.12; 95% CI: 0.93, 1.35) showed a nonsignificant (P > 0.05) relation to GDM risk. However, consumption of animal meat (pooled RR: 1.35; 95% CI: 1.16, 1.57) and fast food (pooled RR: 1.75; 95% CI: 1.41, 2.19) showed a positive association with the risk of developing GDM. Subgroup analysis demonstrated that the consumption of red meat and processed red meat increased the risk of GDM more than either poultry or fish intake. Our study provides further evidence for understanding the relation between dietary factors and increased GDM risk and contributes to reducing the incidence of GDM through healthy diets.
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Affiliation(s)
- Wei Quan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Maomao Zeng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Ye Jiao
- School of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Yong Li
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Chaoyi Xue
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Guoping Liu
- Wuxi People's Hospital, Nanjing Medical University, Wuxi, China
| | - Zhaojun Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Fang Qin
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | | | - Jie Chen
- Address correspondence to JC (e-mail: )
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26
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Janiszewska J, Ostrowska J, Szostak-Węgierek D. Milk and Dairy Products and Their Impact on Carbohydrate Metabolism and Fertility-A Potential Role in the Diet of Women with Polycystic Ovary Syndrome. Nutrients 2020; 12:E3491. [PMID: 33202986 PMCID: PMC7696580 DOI: 10.3390/nu12113491] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 02/06/2023] Open
Abstract
Milk and dairy products are considered an important component of healthy and balanced diet and are deemed to exert a positive effect on human health. They appear to play a role in the prevention and treatment of carbohydrate balance disturbances. The products include numerous valuable components with a potential hypoglycemic activity, such as calcium, vitamin D, magnesium and probiotics. Multiple authors suggested that the consumption of dairy products was negatively associated with the risk of type 2 diabetes mellitus, insulin resistance and ovulation disorders. However, there are still numerous ambiguities concerning both the presumed protective role of dairy products in carbohydrate metabolism disorders, and the advantage of consuming low-fat dairy products over high-fat ones, especially in women with the risk of ovulation disorders. Therefore, this literature review aims at the presentation of the current state of knowledge concerning the relationship between dairy product consumption and the risk of insulin resistance, type 2 diabetes mellitus in women, and the potential effect on the course of polycystic ovary syndrome.
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Affiliation(s)
| | - Joanna Ostrowska
- Department of Clinical Dietetics, Faculty of Health Sciences, Medical University of Warsaw, E Ciołka Str. 27, 01-445 Warsaw, Poland; (J.J.); (D.S.-W.)
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27
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Zhang X, Gong Y, Chen Y, Corte KD, Duan R, Tian G, Liang Y, Xue H, Zhang J, Li M, He F, Yang D, Zhou R, Cheng G. Nutrition in Pregnancy and Growth in Southwest China (NPGSC) cohort: Design, implementation, and characteristics. Paediatr Perinat Epidemiol 2020; 34:724-733. [PMID: 32597516 PMCID: PMC7689862 DOI: 10.1111/ppe.12704] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 04/16/2020] [Accepted: 05/18/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Pregnancy and birth cohorts addressing maternal nutrition and its impact on health outcomes have been rare in China, especially in Southwest China. OBJECTIVES To describe the design, implementation, baseline characteristics, and initial results of the Nutrition in Pregnancy and Growth in Southwest China (NPGSC) cohort. POPULATION Pregnant women with their children in Southwest China. DESIGN NPGSC participants have been prospectively recruited since 2014. Pregnant women were invited to participate in the study at their first routine ultrasound examination in gestational weeks 9-11. Data were assessed three times during pregnancy (9-11, 20-22, and 33-35 gestation weeks), and eight times in infants and toddlers. METHODS Pre-pregnancy body weight and height were self-reported; gestational weight gain was measured at regular intervals. Both food frequency questionnaires (FFQ) and 24-hour dietary recalls were used to collect dietary intakes during pregnancy, and FFQ for diet before pregnancy. Information on pregnancy outcomes was extracted from the medical birth registry. Anthropometry of children in the first 3 years of life was measured by trained investigators. Other child outcomes, including feeding practices (self-reported by mothers) and cognitive development (assessed by the Chinese version of Ages and Stages Questionnaire), were recorded. PRELIMINARY RESULTS Between 2014 and 2018, 12 989 pregnant women were enrolled, and 2296 children completed the 3 years follow-up. Among them, 115 pregnancies ended in stillbirth. Mean maternal pre-pregnancy BMI was 21.1 kg/m2 and mean gestational weight gain was 13.5 kg 18.6% of mothers developed gestational diabetes and 1.5% of mothers were diagnosed with preeclampsia. Mean birthweight and birth length of children were, respectively, 3329 g and 49.4 cm. CONCLUSION We built a prospective cohort in Southwest China, which can provide valuable data to investigate the relevance of nutrition for the health of mothers and children.
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Affiliation(s)
- Xiao Zhang
- West China School of Public Health and West China Fourth HospitalSichuan UniversityChengduChina
| | - Yunhui Gong
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
| | - Yue Chen
- West China School of Public Health and West China Fourth HospitalSichuan UniversityChengduChina
| | - Karen Della Corte
- Nutrition, Consumption and HealthFaculty of Natural SciencesUniversity PaderbornPaderbornGermany
| | - Ruonan Duan
- West China School of Public Health and West China Fourth HospitalSichuan UniversityChengduChina
| | - Guo Tian
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
| | - Yi Liang
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina,Department of Clinical NutritionAffiliated Hospital of Guizhou Medical UniversityGuizhou Medical UniversityGuiyangChina
| | - Hongmei Xue
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina,College of Public HealthHebei UniversityBaodingChina
| | - Jieyi Zhang
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina,Sichuan Provincial Centre for Disease Control and PreventionChengduChina
| | - Ming Li
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
| | - Fang He
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
| | - Dagang Yang
- Department of Clinical NutritionAffiliated Hospital of Guizhou Medical UniversityGuizhou Medical UniversityGuiyangChina
| | - Rong Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
| | - Guo Cheng
- Laboratory of Molecular Translational MedicineCentre for Translational MedicineKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University)Ministry of EducationWest China Second University HospitalSichuan UniversityChengduChina
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Dietary habits contribute to define the risk of type 2 diabetes in humans. Clin Nutr ESPEN 2019; 34:8-17. [DOI: 10.1016/j.clnesp.2019.08.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 08/02/2019] [Indexed: 12/25/2022]
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Obesity Status Affects the Relationship Between Protein Intake and Insulin Sensitivity in Late Pregnancy. Nutrients 2019; 11:nu11092190. [PMID: 31514469 PMCID: PMC6769608 DOI: 10.3390/nu11092190] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/01/2019] [Accepted: 09/06/2019] [Indexed: 01/09/2023] Open
Abstract
The purpose of this study was to determine the associations between amount and type of dietary protein intake and insulin sensitivity in late pregnancy, in normal weight and overweight women (29.8 ± 0.2 weeks gestation, n = 173). A 100-g oral glucose tolerance test (OGTT) was administered following an overnight fast to estimate the metabolic clearance rate of glucose (MCR, mg·kg−1·min−1) using four different equations accounting for the availability of blood samples. Total (TP), animal (AP), and plant (PP) protein intakes were assessed using a 3-day food record. Two linear models with MCR as the response variable were fitted to the data to estimate the relationship of protein intake to insulin sensitivity either unadjusted or adjusted for early pregnancy body mass index (BMI) because of the potential of BMI to influence this relationship. There was a positive association between TP (β = 1.37, p = 0.002) and PP (β = 4.44, p < 0.001) intake in the last trimester of pregnancy and insulin sensitivity that weakened when accounting for early pregnancy BMI. However, there was no relationship between AP intake and insulin sensitivity (β = 0.95, p = 0.08). Therefore, early pregnancy BMI may be a better predictor of insulin sensitivity than dietary protein intake in late pregnancy.
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Allman BR, Andres A, Børsheim E. The Association of Maternal Protein Intake during Pregnancy in Humans with Maternal and Offspring Insulin Sensitivity Measures. Curr Dev Nutr 2019; 3:nzz055. [PMID: 31139768 PMCID: PMC6533362 DOI: 10.1093/cdn/nzz055] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 04/16/2019] [Accepted: 04/18/2019] [Indexed: 12/15/2022] Open
Abstract
The purpose of this review is to critically evaluate the studies assessing the relations between protein intake during human pregnancy and insulin sensitivity measures in the mother and offspring, and to get a better understanding of the knowledge gaps that still exist. Overall, there is insufficient evidence to conclude about implications of higher amounts of protein intake during pregnancy on maternal or offspring insulin sensitivity. However, studies show a relation between protein quality and insulin sensitivity, such that animal protein may be associated with negative outcomes and plant protein may be associated with positive insulin sensitivity outcomes. There is an urgent need for standardized studies using comparable terminology to evaluate any potential relations between insulin sensitivity in mothers and offspring and truly low and high maternal protein intake while maintaining eucaloric balance to better inform about optimal protein dosage and quality during this period.
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Affiliation(s)
- Brittany R Allman
- Arkansas Children's Nutrition Center, Little Rock, AR, USA
- Arkansas Children's Research Institute, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Aline Andres
- Arkansas Children's Nutrition Center, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Elisabet Børsheim
- Arkansas Children's Nutrition Center, Little Rock, AR, USA
- Arkansas Children's Research Institute, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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