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Mavroeidi I, Manta A, Asimakopoulou A, Syrigos A, Paschou SA, Vlachaki E, Nastos C, Kalantaridou S, Peppa M. The Role of the Glycemic Index and Glycemic Load in the Dietary Approach of Gestational Diabetes Mellitus. Nutrients 2024; 16:399. [PMID: 38337683 PMCID: PMC10857473 DOI: 10.3390/nu16030399] [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: 12/14/2023] [Revised: 01/19/2024] [Accepted: 01/20/2024] [Indexed: 02/12/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder that often develops during pregnancy, characterized by glucose intolerance and insulin resistance (IR). To ensure the well-being of both the mother and the fetus, the body undergoes multiple metabolic and immunological changes that result in peripheral IR and, under certain hereditary or acquired abnormalities, GDM in predisposed women. The adverse short- and long-term effects of GDM impact both the mother and the fetus. Nutrition seems to play an important role to prevent GDM or improve its evolution. An emphasis has been given to the proportion of carbohydrates (CHO) relative to protein and lipids, as well as dietary patterns, in GDM. The effects of CHO on postprandial glucose concentrations are reflected in the glycemic index (GI) and glycemic load (GL). Diets rich in GI and GL may induce or exacerbate IR, whereas diets low in GI and GL appear to enhance insulin sensitivity and improve glycemic control. These positive outcomes may be attributed to direct interactions with insulin and glucose homeostasis or indirect effects through improved body composition and weight management. This comprehensive narrative review aims to explore the significance of nutrition, with a focus on the critical evaluation of GI and GL in the dietary management of women with GDM.
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Affiliation(s)
- Ioanna Mavroeidi
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Aspasia Manta
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Athina Asimakopoulou
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Alexandros Syrigos
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Center, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Efthimia Vlachaki
- Hematological Laboratory, 2nd Department of Internal Medicine, Hippokrateion Hospital, Aristotle University, 54640 Thessaloniki, Greece
| | - Constantinos Nastos
- 3rd Department of Surgery, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Sophia Kalantaridou
- Department of Obstetrics and Gynecology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Melpomeni Peppa
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
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Haghighatdoost F, Mahdavi A, Mohammadifard N, Hassannejad R, Najafi F, Farshidi H, Lotfizadeh M, Kazemi T, Karimi S, Roohafza H, Silveira EA, Sarrafzadegan N, de Oliveira C. The relationship between a plant-based diet and mental health: Evidence from a cross-sectional multicentric community trial (LIPOKAP study). PLoS One 2023; 18:e0284446. [PMID: 37256886 DOI: 10.1371/journal.pone.0284446] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 03/28/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Dietary patterns emphasizing plant foods might be neuroprotective and exert health benefits on mental health. However, there is a paucity of evidence on the association between a plant-based dietary index and mental health measures. OBJECTIVE This study sought to examine the association between plant-based dietary indices, depression and anxiety in a large multicentric sample of Iranian adults. METHODS This cross-sectional study was performed in a sample of 2,033 participants. A validated food frequency questionnaire was used to evaluate dietary intakes of participants. Three versions of PDI including an overall PDI, a healthy PDI (hPDI), and an unhealthy PDI (uPDI) were created. The presence of anxiety and depression was examined via a validated Iranian version of the Hospital Anxiety and Depression Scale (HADS). RESULTS PDI and hPDI were not associated to depression and anxiety after adjustment for potential covariates (age, sex, energy, marital status, physical activity level and smoking). However, in the crude model, the highest consumption of uPDI approximately doubled the risk of depression (OR= 2.07, 95% CI: 1.49, 2.87; P<0.0001) and increased the risk of anxiety by almost 50% (OR= 1.56, 95% CI: 1.14, 2.14; P= 0.001). Adjustment for potential confounders just slightly changed the associations (OR for depression in the fourth quartile= 1.96; 95% CI: 1.34, 2.85, and OR for anxiety in the fourth quartile= 1.53; 95% CI: 1.07, 2.19). CONCLUSIONS An unhealthy plant-based dietary index is associated with a higher risk of depression and anxiety, while plant-based dietary index and healthy plant-based dietary index were not associated to depression and anxiety.
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Affiliation(s)
- Fahimeh Haghighatdoost
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Atena Mahdavi
- Food Security Research Center and Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Noushin Mohammadifard
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Razieh Hassannejad
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farid Najafi
- Research Center for Environmental determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hossein Farshidi
- Hormozgan Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandarabbas, Iran
| | - Masoud Lotfizadeh
- Social Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Tooba Kazemi
- Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Simin Karimi
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Erika Aparecida Silveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
- Postgraduate Program in Health Sciences, Faculty of Medicine, Federal University of Goiás, Goiânia, Brazil
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Cesar de Oliveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
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Jardine IR, Christie HE, Oetsch K, Sabag A, Kennedy M, Meyer BJ, Francois ME. Physical Activity, but Not Glycaemic Load, Is Associated with Lower Real-Time Glycaemic Control in Free-Living Women with Gestational Diabetes Mellitus. Nutrients 2023; 15:nu15081974. [PMID: 37111193 PMCID: PMC10142701 DOI: 10.3390/nu15081974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/29/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
Maintaining blood glucose within the target range is the primary treatment goal for women with gestational diabetes mellitus (GDM). Foods with low glycaemic loads are recommended in clinical practice; however, the relative importance of other key lifestyle variables is unexplored. This pilot study explored the associations of glycaemic load, carbohydrates and physical activity parameters on blood glucose concentrations in free-living women with GDM. Twenty-nine women (28-30 weeks gestation, 34 ± 4 years) with GDM were enrolled. Continuous glucose monitoring, physical activity (ActivPAL inclinometer) and dietary intake and dietary quality were measured concurrently for 3 days. Pearson correlation analyses determined the association between glucose levels and lifestyle variables. Despite all receiving the same nutrition education, only 55% of women were following a low glycaemic load diet with a large range of carbohydrate intakes (97-267 g/day). However, the glycaemic load did not correlate with 3-hr postprandial glucose (r2 = 0.021, p = 0.56) or 24-h glucose iAUC (r2 = 0.021, p = 0.58). A significant relationship between total stepping time and lower 24-h glucose iAUC (r2 = 0.308, p = 0.02) and nocturnal glucose (r2 = 0.224, p = 0.05) was found. In free-living women with diet-controlled GDM, more physical activity, i.e., steps accumulated across the day, may be a simple and effective strategy for improving maternal blood glucose concentrations.
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Affiliation(s)
- Isabelle R Jardine
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
| | - Hannah E Christie
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
| | - Kate Oetsch
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
| | - Angelo Sabag
- NICM Health Research Institute, Western Sydney University, Westmead, NSW 2145, Australia
| | - Meredith Kennedy
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
- Illawarra Shoalhaven Local Health District, Diabetes Service, Wollongong, NSW 2500, Australia
| | - Barbara J Meyer
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
- Molecular Horizons, University of Wollongong, Wollongong, NSW 2522, Australia
| | - Monique E Francois
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health University of Wollongong, Wollongong, NSW 2522, Australia
- Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
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Hajihashemi P, Haghighatdoost F, Mohammadifard N, Maghroun M, Sajjadi F, Najafi F, Farshidi H, Lotfizadeh M, Solati K, Kazemi T, Karimi S, Roohafza H, Sabri M, de Oliveira C, Silveira EA, Sarrafzadegan N. The association of dietary macronutrient quality indices with depression and anxiety symptoms and quality of life in Iranian adults: The LipoKAP study. J Affect Disord 2022; 317:409-416. [PMID: 36037992 DOI: 10.1016/j.jad.2022.08.046] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 07/27/2022] [Accepted: 08/20/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Macronutrients' quality may impact differently on mental health and quality of life (QOL). This study aimed to investigate the potential relationship between the carbohydrate quality index (CQI), fat quality index (FQI), protein quality index (PQI), the affective mental symptoms and QOL among Iranian adults. METHODS The LipoKAP is a cross-sectional study, conducted with 2456 adults in Iran. A validated food frequency questionnaire was used to evaluate usual dietary intakes. A validated Iranian version of the Hospital Anxiety and Depression Scale was used to assess the severity of anxiety and depression. QOL was assessed by EQ-5D. RESULT In the fully adjusted model, participants in the highest tertile of CQI had lower QOL than those in the lowest tertile (OR = 1.35; 95 % CI: 1.06, 1.73). Individuals in the top tertile of FQI (OR = 0.71; 95 % CI: 0.55, 0.91) and PQI (OR = 0.78; 95 % CI: 0.60; 1.01) were less likely to report lower QOL than those in the bottom tertile. An inverse association was found between PQI and depressive symptoms (OR = 0.72, 95 % CI: 0.55, 0.95), but not for CQI and FQI. LIMITATIONS The cross-sectional design of the study and the use of a memory-based dietary tool may limit the generalizability of our findings. CONCLUSION Higher PQI was associated with lower risk of depressive symptoms and having a low-quality life. Although CQI and FQI were not related to depressive and anxiety symptoms, higher values of FQI were associated with better QOL, while CQI showed an inverse association.
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Affiliation(s)
- Parisa Hajihashemi
- Isfahan Gastroenterology and Hepatology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Maryam Maghroun
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Firouzeh Sajjadi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farid Najafi
- Research Center for Environmental determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hossein Farshidi
- Hormozgan Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandarabbas, Iran
| | - Masoud Lotfizadeh
- Social Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Kamal Solati
- Department of Psychiatry, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Tooba Kazemi
- Birjand Cardiovascular Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Simin Karimi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammadreza Sabri
- Prdiatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Cesar de Oliveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, UK
| | - Erika Aparecida Silveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, UK; Postgraduate Program in Health Sciences, Faculty of Medicine, Federal University of Goiás, Brazil
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran; Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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5
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Sun P, Huang L, Shuai P, Wan Z, Liu Y, Xue J, Liu Y. Effect of a High Protein, Low Glycemic Index Dietary Intervention on Metabolic Dysfunction-Associated Fatty Liver Disease: A Randomized Controlled Trial. Front Nutr 2022; 9:863834. [PMID: 35571881 PMCID: PMC9097015 DOI: 10.3389/fnut.2022.863834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) affects people at an increasingly younger age. The primary treatment for patients with MAFLD is diet-induced weight loss; however, excessive dieting is poorly effective. Objectives The aim of this trial was to evaluate whether a high protein and low glycemic index (HPLG) dietary intervention would result in improvement of controlled attenuation parameter (CAP) and related metabolic markers in MAFLD. Methods A 12-week controlled, parallel-group, randomized intervention trial was performed. A number of 63 participants with MAFLD were enrolled and randomized between the HPLG dietary group and the balanced diet control group. Both diets had the same hypocaloric level and were prescribed ad libitum within food limit lists. The primary outcome was CAP. The main secondary outcomes were weight loss and improvement of metabolism-related indexes at week 12 after the program initiation. Results A total of 59 participants completed the intervention and were included in the final analysis. The mean age was 39.3 ± 8.9 years and 66.1% were men. In this trial, protein and carbohydrate intakes were significantly higher and lower, respectively, in the HPLG group compared to controls (p < 0.001). At week 12, CAP was significantly reduced in both groups (p < 0.001). However, a significantly greater reduction in liver fat was observed in the HPLG group compared to the control group (p = 0.011), with mean relative reductions of 30.90 dB/m (95% CI, 21.53 to 40.26, p < 0.001) and 15.43 dB/m (95% CI, 7.57 to 23.30, p < 0.001), respectively. From baseline to week 12, a significantly greater loss in bodyweight was recorded in participants in the HPLG group (6.52 kg; 95% CI, 5.50 to 7.54, p < 0.001) compared to control subjects (2.00 kg; 95% CI, 0.89 to 3.11, p = 0.001). Moreover, body fat percentage in the HPLG group was significantly reduced compared with the control group (p = 0.002). Within-group improvements in visceral fat, blood pressure, cardiovascular risk factors, and blood glucose-related indicators were detected in patients with MAFLD assigned to the HPLG diet (p < 0.05), but not in those prescribed the control diet (p > 0.05). Conclusion Under our experimental conditions, and compared to the traditional balanced diet, an HPLG diet led to a significant CAP remission, bodyweight or fat reduction, and improvement of metabolic markers in patients with MAFLD. Clinical Trial Registration ClinicalTrials.gov, identifier: NCT03972631.
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Affiliation(s)
- Ping Sun
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Liping Huang
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ping Shuai
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Zhengwei Wan
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Yingying Liu
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Jianqiang Xue
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Yuping Liu
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
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6
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Higher carbohydrate quality index is associated with better adequate micronutrient consumption in Brazilian women. NUTR HOSP 2022; 39:594-602. [DOI: 10.20960/nh.03662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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7
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Balanced carbohydrate ratios are associated with improved diet quality in Australia: A nationally representative cross-sectional study. PLoS One 2021; 16:e0253582. [PMID: 34242252 PMCID: PMC8270120 DOI: 10.1371/journal.pone.0253582] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/09/2021] [Indexed: 12/30/2022] Open
Abstract
Background Carbohydrate quality influences major health outcomes; however, the best criteria to assess carbohydrate quality remain unknown. Objective The objectives were to: i) evaluate whether a diet that meets a carbohydrate ratio (simple, modified or dual ratio) is associated with higher nutrient intakes and diet quality, and ii) model the impact of substituting carbohydrate foods that meet the proposed ratios in place of foods that do not, on nutrient intakes. Design A secondary analysis of cross-sectional data from the 2011–12 Australian National Nutrition and Physical Activity Survey. Participants/Setting National data from participants aged 2 years and older (n = 12,153). Main outcome measures Ratios were defined as (i) simple ratio, 10:1 (10g carbohydrate:≥1g dietary fiber); (ii) modified ratio, 10:1:2 (10g carbohydrate:≥1g dietary fiber:≤2g free sugars); and (iii) dual ratio, 10:1 & 1:2 (10g carbohydrate:≥1g dietary fiber & ≤2g free sugars per 1g dietary fiber). Ratios were compared to nutrient intakes obtained via automated multiple-pass 24-hour dietary recall and diet quality calculated using the Australian Healthy Eating Index. Statistical analyses performed Substitution dietary modelling was performed. Data were analyzed using paired and independent sample t-tests. Results Ratio adherence was highest for simple (50.2% adults; 28.6% children), followed by dual (40.6% adults; 21.7% children), then modified (32.7% adults; 18.6% children) ratios. Participants who met any ratio reported higher nutrient intake and diet quality compared to those who failed to meet the respective ratio (P < .001 for all), with the greatest nutrient intakes found for those who met modified or dual ratios. Dietary modelling improved nutrient intakes for all ratios, with the greatest improvement found for the dual ratio. Conclusions All carbohydrate ratios were associated with higher diet quality, with a free sugars constraint in the dual ratio providing the greatest improvements.
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Zhang Y, Zhang T, Yang W, Chen H, Geng X, Li G, Chen H, Wang Y, Li L, Sun B. Beneficial Diets and Pancreatic Cancer: Molecular Mechanisms and Clinical Practice. Front Oncol 2021; 11:630972. [PMID: 34123787 PMCID: PMC8193730 DOI: 10.3389/fonc.2021.630972] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 04/19/2021] [Indexed: 01/02/2023] Open
Abstract
Pancreatic cancer (PC) is a malignant tumor with high invasiveness, easy metastatic ability, and chemoresistance. Patients with PC have an extremely low survival rate due to the difficulty in early diagnosis. It is estimated that nearly 90% of PC cases are caused by environmental risk factors. Approximately 50% of PC cases are induced by an unhealthy diet, which can be avoided. Given this large attribution to diet, numerous studies have assessed the relationship between various dietary factors and PC. This article reviews three beneficial diets: a ketogenic diet (KD), a Mediterranean diet (MD), and a low-sugar diet. Their composition and impact mechanism are summarized and discussed. The associations between these three diets and PC were analyzed, and we aimed to provide more help and new insights for the prevention and treatment of PC.
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Affiliation(s)
- Yang Zhang
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tao Zhang
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Wenbo Yang
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hongze Chen
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinglong Geng
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guanqun Li
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hua Chen
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yongwei Wang
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Le Li
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Harbin, China
| | - Bei Sun
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Harbin, China
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He F, Chen C, Li F, Qi Y, Lin X, Liang P, Ren M, Yan L. An optimal glycemic load range is better for reducing obesity and diabetes risk among middle-aged and elderly adults. Nutr Metab (Lond) 2021; 18:31. [PMID: 33752703 PMCID: PMC7983372 DOI: 10.1186/s12986-020-00504-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 09/16/2020] [Indexed: 01/19/2023] Open
Abstract
Background Due to the lack of evidence, advice pertaining to glycemic load (GL) can be misleading. Does the excessive restriction of GL, mostly through an extreme reduction in carbohydrate intake, result in a relatively high intake of fat and protein and result in overweight and obesity? This study was performed to initially explore the optimal GL range. Methods A cross-sectional study involving 2029 participants aged 40 years or older in Guangzhou, China was conducted. Participants were divided into four groups according to cluster analysis. Dietary data were assessed using a previously validated 3-day food record. Results Instead of participants with the highest [cluster 1, median (interquartile ranges) GL was 112(107–119)/1000 kcal] and the lowest GL intake [cluster 4, 90(82–96)/1000 kcal], those with moderate GL intakes [clusters 2 and 3, 93(85–102) and 93(85–99)/1000 kcal, respectively] had a lower prevalence of overweight, obesity and diabetes. In addition, clusters 2 and 3 were more consistent with the macronutrient intake reference with adequate micronutrient intake. Therefore, the optimal GL range was determined to be (85–100)/1000 kcal, rather than “lower is better”. Conclusions Reducing the GL intake to prevent diabetes deserves more attention in the context of a balanced diet. An appropriate GL may be better than excessive restriction.
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Affiliation(s)
- Fengyi He
- Department of Clinical Nutrition, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Chaogang Chen
- Department of Clinical Nutrition, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Feng Li
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Yiqin Qi
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Xiuhong Lin
- Department of Clinical Nutrition, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Ping Liang
- Department of Clinical Nutrition, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510120, China.
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Meloncelli N, Wilkinson SA, de Jersey S. Searching for Utopia, the Challenge of Standardized Medical Nutrition Therapy Prescription in Gestational Diabetes Mellitus Management: A Critical Review. Semin Reprod Med 2021; 38:389-397. [PMID: 33429445 DOI: 10.1055/s-0040-1722316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Gestational diabetes mellitus (GDM) is a common pregnancy disorder and the incidence is increasing worldwide. GDM is associated with adverse maternal outcomes which may be reduced with proper management. Lifestyle modification in the form of medical nutrition therapy and physical activity, as well as self-monitoring of blood glucose levels, is the cornerstone of GDM management. Inevitably, the search for the "ultimate" diet prescription has been ongoing. Identifying the amount and type of carbohydrate to maintain blood glucose levels below targets while balancing the nutritional requirements of pregnancy and achieving gestational weight gain within recommendations is challenging. Recent developments in the area of the gut microbiota and its impact on glycemic response add another layer of complexity to the success of medical nutrition therapy. This review critically explores the challenges to dietary prescription for GDM and why utopia may never be found.
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Affiliation(s)
- Nina Meloncelli
- Nutrition and Dietetics, Sunshine Coast University Hospital, Birtinya, Australia.,Centre for Clinical Research and Perinatal Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Shelley A Wilkinson
- School of Human Movements and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia.,Mater Research Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Susan de Jersey
- Centre for Clinical Research and Perinatal Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia
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11
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Meroni A, Muirhead RP, Atkinson FS, Fogelholm M, Raben A, Brand-Miller JC. Is a Higher Protein-Lower Glycemic Index Diet More Nutritious Than a Conventional Diet? A PREVIEW Sub-study. Front Nutr 2020; 7:603801. [PMID: 33365325 PMCID: PMC7750310 DOI: 10.3389/fnut.2020.603801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/16/2020] [Indexed: 12/27/2022] Open
Abstract
High protein diets and low glycemic index (GI) diets have been associated with improved diet quality. We compared the changes in nutrient intakes of individuals at high risk of developing type-2 diabetes over 3 y who followed either a higher protein-lower GI diet (HPLG) or a conventional moderate protein-moderate GI diet (MPMG). This post hoc analysis included 161 participants with overweight and pre-diabetes from the Australian cohort of the PREVIEW study (clinical trial registered in https://www.clinicaltrials.gov/ct2/show/NCT01777893?term=NCT01777893&draw=2&rank=1) who were randomly assigned to a HPLG diet (25% energy from protein, dietary GI ≤ 50, n = 85) or a MPMG diet (15% energy from protein, dietary GI ≥ 56, n = 76). Food records were collected at 0-mo (baseline) and at 6-, 12-, 24-, and 36-mo (dietary intervention period). Linear mixed models were used to compare the differences in total energy, macro- and micronutrients, dietary GI, glycemic load (GL) and body weight between the two diet groups at the 4 dietary intervention time points. At 3 y, 74% participants from the HPLG diet and 74% participants from the MPMG diet completed the trial. The HPLG group showed significantly higher protein intake and lower dietary GI and GL than the MPMG group (group fixed effect P < 0.001 for all three parameters). By 6-, 12-, 24-, and 36-mo there was a 3.0, 2.7, 2.2, and 1.4% point difference in protein intake and 6.2, 4.1, 4.8, and 3.9 GI unit difference between the groups. The intake of energy and saturated fat decreased (mostly in the first 6-mo), while the intake of dietary fiber increased (from mo-0 to mo-12 only) in both diets, with no significant differences between the diets. The dietary intakes of zinc (group fixed effect P = 0.05), selenium (P = 0.01), niacin (P = 0.01), vitamin B12 (P = 0.01) and dietary cholesterol (group by time fixed effect P = 0.001) were higher in the HPLG group than in the MPMG group. Despite both diets being designed to be nutritionally complete, a HPLG diet was found to be more nutritious in relation to some micronutrients, but not cholesterol, than a MPMG diet.
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Affiliation(s)
- Alice Meroni
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Roslyn P Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Fiona S Atkinson
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Mikael Fogelholm
- Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Anne Raben
- Department of Nutrition, Exercise, and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Jennie C Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
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12
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Wan CS, Teede H, Nankervis A, Aroni R. Ethnic Differences in Dietary Management of Gestational Diabetes Mellitus: A Mixed Methods Study Comparing Ethnic Chinese Immigrants and Australian Women. J Acad Nutr Diet 2019; 120:86-102. [PMID: 31718911 DOI: 10.1016/j.jand.2019.08.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 08/14/2019] [Indexed: 12/25/2022]
Abstract
BACKGROUND Dietary modification is the primary intervention strategy for management of gestational diabetes mellitus (GDM), which usually occurs in the third trimester of pregnancy when women have extra nutritional needs. There is a high migration rate of ethnic Chinese people to Western countries, and those women present a high-risk group for GDM. Little is known about diet, dietary self-management, and nutritional supplementation use among ethnic Chinese migrant women with GDM compared with members of the host population with GDM. OBJECTIVE This study aimed to compare the perceptions and experiences of dietary self-management and nutritional needs of ethnic Chinese migrants with those of Australian-born white women with GDM in Australia. DESIGN A predominantly qualitative mixed methods approach with a quantitative component was used. Data collection involved in-depth, semistructured interviews, and 3-day 24-hour recall diaries collected concurrently. Data analysis and management relied on NVivo (QSR International Pty Ltd), FoodWorks (FoodWorks Professional 2017, Xyris Software), and SPSS (SPSS Inc). Pearson χ2 test, independent-samples t test, and Mann-Whitney U test were used to compare nutrient intakes between groups. The Pearson correlation was used to determine the relationship between dietary patterns and nutrient intake. PARTICIPANTS A total of 44 ethnic Chinese and 39 Australian-born white participants with GDM were recruited from two large Australian maternity services located in tertiary hospitals. RESULTS Ethnic differences in satisfaction with GDM education influenced GDM self-management. Ethnic Chinese women with GDM perceived dietary advice received from health professionals to be lacking in cultural relevance and detail and responded by restricting their dietary intake and relying on nutritional supplementation. The perceived benefits of specific supplements produced ethnic differences in the patterns of supplement use. Cultural dietary patterns influenced dietary adequacy in pregnancy. CONCLUSIONS This study suggests the need for provision of more concrete, prescriptive, and culturally relevant dietary and supplementation advice for ethnic Chinese women with GDM.
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Hasbullah FY, Mohd Yusof BN, Shariff ZM, Rejali Z, Yong HY, Mitri J. Factors associated with dietary glycemic index and glycemic load in pregnant women and risk for gestational diabetes mellitus. Int J Food Sci Nutr 2019; 71:516-524. [PMID: 31686557 DOI: 10.1080/09637486.2019.1686752] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The risk of gestational diabetes mellitus (GDM) increases during the second trimester of pregnancy. However, the role of dietary glycemic index (GI) and glycemic load (GL) on GDM risk is controversial. We aimed to determine the association of established risk factors of GDM with GI and GL among healthy pregnant women, and whether GI and GL were subsequently related to GDM risk. Dietary GI and GL were assessed in healthy pregnant women from the Seremban Cohort Study using a food frequency questionnaire. After adjusting for energy intake, high GI was significantly associated with lower household income, shorter stature, higher proportion of carbohydrate intake, lower sugar proportion and lower fibre intake. High GL was significantly associated with younger maternal age, higher carbohydrate proportion and lower fibre intake. GI and GL intakes were not significantly associated with GDM risk. However, they were associated with a few established risk factors of GDM.
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Affiliation(s)
- Farah Yasmin Hasbullah
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Barakatun Nisak Mohd Yusof
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.,Research Centre of Excellence, Nutrition and Non-Communicable Diseases (NNCD), Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Zalilah Mohd Shariff
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Zulida Rejali
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Heng Yaw Yong
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Joanna Mitri
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
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14
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Wan CS, Nankervis A, Teede H, Aroni R. Dietary intervention strategies for ethnic Chinese women with gestational diabetes mellitus: A systematic review and meta-analysis. Nutr Diet 2019; 76:211-232. [PMID: 30938046 PMCID: PMC6850048 DOI: 10.1111/1747-0080.12524] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 02/01/2019] [Accepted: 02/06/2019] [Indexed: 12/19/2022]
Abstract
AIM Ethnic Chinese women are one of the populations at high risk of gestational diabetes mellitus (GDM) internationally. This systematic review aimed to determine which dietary intervention strategies were found to be effective in improving glycaemic control and pregnancy outcomes among ethnic Chinese women with GDM. METHODS The review protocol was registered with PROSPERO (CRD42016043585). Eight English and four Chinese language databases were searched for randomised controlled trials and cohort studies of dietary intervention among ethnic Chinese women with GDM. Review Manager 5.3 and GRADE criteria were used in meta-analysis and assessment of quality of evidence. RESULTS Included studies comprised 3944 women in 29 eligible studies. Compared to standard treatment, low glycaemic index (GI) diets, low glycaemic load (GL) diets and fibre-enriched diets were associated with a reduction in fasting plasma glucose, 2-hour plasma glucose and HbA1c, and improved neonatal outcomes. Low GL diets were associated with reduced caesarean section risk. CONCLUSIONS In ethnic Chinese women with GDM, low GI diets, low GL diets and fibre-enriched diets were associated with improved glycaemic control and pregnancy outcomes. Given the lack of direct comparison of these three diets, future direct comparison trials are necessary to determine optimal dietary intervention strategies.
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Affiliation(s)
- Ching S. Wan
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive MedicineMonash UniversityClaytonVictoriaAustralia
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health SciencesMonash UniversityClaytonVictoriaAustralia
| | - Alison Nankervis
- Department of Medicine, University of MelbourneClaytonVictoriaAustralia
- Departments of Diabetes and EndocrinologyThe Royal Melbourne and Royal Women's HospitalsClaytonVictoriaAustralia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive MedicineMonash UniversityClaytonVictoriaAustralia
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health SciencesMonash UniversityClaytonVictoriaAustralia
- Department of Endocrinology and DiabetesMonash HealthClaytonVictoriaAustralia
| | - Rosalie Aroni
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health SciencesMonash UniversityClaytonVictoriaAustralia
- Medical School, College of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
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15
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Misra S, Wai Yew Y, Seok Shin T. Maternal dietary patterns, diet quality and micronutrient status in gestational diabetes mellitus across different economies: A review. AIMS MEDICAL SCIENCE 2019. [DOI: 10.3934/medsci.2019.1.76] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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16
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Food intake of women with gestational diabetes mellitus, in accordance with two methods of dietary guidance: a randomised controlled clinical trial. Br J Nutr 2018; 121:82-92. [PMID: 30392472 DOI: 10.1017/s0007114518001484] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The aim of the study was to evaluate the food intake of pregnant women with gestational diabetes mellitus (GDM) according to two methods of dietary guidance. A randomised controlled clinical trial was conducted by appointment with a nutritionist and by using data from hospital records (2011-2014). The study population comprised adult women diagnosed with GDM treated in a public maternity hospital in Rio de Janeiro, Brazil. The control group (CG) received nutritional advice by the traditional method and the intervention group (IG) were instructed on carbohydrate counting. The analysis of food intake and the consumption of processed foods (PF) and ultra-processed foods (UPF) were evaluated in the second and third trimester. A total of 286 pregnant women were initially assessed (145 in the CG and 141 in the IG). It was observed that 89/120 (74·2 %) and 183/229 (79·9 %) consumed PF daily in the second and third trimesters, respectively, whereas 117/120 (97·5 %) and 225/231 (97·4 %) consumed UPF daily in the second and third trimesters, respectively. When analysing the intake of macronutrients (%) by quartiles, women who had fat intake in the third quartile had the highest average postprandial blood glucose compared with those who consumed fat in the second quartile (P=0·02). The consumption of PF and UPF was high and dietary intake was similar in both groups, regardless of dietary guidance method deployed, suggesting that both methods tested in the study can be used for monitoring the nutritional status of pregnant women with GDM.
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17
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Vestgaard M, Christensen AS, Viggers L, Lauszus FF. Birth weight and its relation with medical nutrition therapy in gestational diabetes. Arch Gynecol Obstet 2017; 296:35-41. [PMID: 28510096 DOI: 10.1007/s00404-017-4396-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 05/09/2017] [Indexed: 01/22/2023]
Abstract
PURPOSE The cornerstone in treatment of gestational diabetes mellitus (GDM) is medical nutrition therapy (MNT), but the effect on birth weight is disputed. The birth weight was evaluated with respect to length of MNT and adherence to diet. METHODS We performed a cohort study on 436 women with GDM and 254 non-diabetic women. Women with a normal oral glucose tolerance test were included as controls as they had similar background predisposition as the women with GDM. The GDM women were subdivided according to MNT and the nutritional status was further stratified according to adherence to the current dietary guidelines. RESULTS Birth weight above 4 kg was more prevalent in the non-diabetic women compared to the diet-treated GDM women (27 vs. 18%, p = 0.012) but similar to the GDM women who had no MNT (24%). Lower birth weight was associated with longer duration of MNT (r = -0.13, p = 0.021). The birth weight was 1.2 g lower per day of treatment. CONCLUSIONS Medical nutrition therapy was associated with reduction of the fetal weight in women with GDM and the weight decreases with length of treatment. Birth weight above 4 kg was as prominent in the non-diabetic women as in the women with GDM without MNT.
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Affiliation(s)
- Marianne Vestgaard
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark
| | | | - Lone Viggers
- Department of Nutrition, Herning Hospital, Herning, Denmark
| | - Finn Friis Lauszus
- Department of Gynecology and Obstetrics, Herning Hospital, Gl. Landevej 61, 7400, Herning, Denmark.
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18
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Azadbakht L, Mohammadifard N, Akhavanzanjani M, Taheri M, Golshahi J, Haghighatdoost F. The association between dietary glycemic index, glycemic load and diet quality indices in Iranian adults: results from Isfahan Healthy Heart Program. Int J Food Sci Nutr 2016; 67:161-9. [DOI: 10.3109/09637486.2015.1134443] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Leila Azadbakht
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohsen Akhavanzanjani
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Taheri
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jafar Golshahi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
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19
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Haghighatdoost F, Azadbakht L, Keshteli AH, Feinle-Bisset C, Daghaghzadeh H, Afshar H, Feizi A, Esmaillzadeh A, Adibi P. Glycemic index, glycemic load, and common psychological disorders. Am J Clin Nutr 2016; 103:201-9. [PMID: 26607943 DOI: 10.3945/ajcn.114.105445] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2014] [Accepted: 10/09/2015] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Potential associations between dietary glycemic index (GI) and glycemic load (GL) with psychological disorders remain uncertain. OBJECTIVE We investigated the relations of dietary GI and GL with psychological distress, anxiety, and depression. DESIGN A total of 3363 nonacademic members of the staff of Isfahan University of Medical Sciences were included in this cross-sectional study. GI and GL were assessed by using a validated, self-administered, dish-based, semiquantitative food-frequency questionnaire. Validated Iranian versions of the Hospital Anxiety and Depression Scale and General Health Questionnaire-12 were used to assess anxiety, depression, and psychological distress. RESULTS After control for potential confounders, individuals in the top tertile of GI had greater odds of depression (OR: 1.44; 95% CI: 1.03, 2.02; P-trend = 0.03) and a trend for greater odds of anxiety (OR: 1.52; 95% CI: 0.97, 2.38; P trend = 0.06) compared with those in the first tertile. Higher GL values were linked to lower odds for mental disorders (OR: 0.66; 95% CI: 0.49, 0.90; P-trend = 0.009), depression (OR: 0.69; 95% CI: 0.51, 0.93; P-trend = 0.02), and psychological distress (OR: 0.67; 95% CI: 0.48, 0.92; P-trend = 0.01). Significant interactions were observed between GI and sex for depression (P = 0.01) and psychological distress (P = 0.046) in the crude model. In stratified analyses by sex, after control for potential confounders, a greater GI was linked to a higher odds of depression (OR: 1.52; 95% CI: 1.20, 1.94; P-trend = 0.001) and psychological distress (OR: 1.66; 95% CI: 1.28, 2.14; P-trend = 0.001) in women but not in men. CONCLUSION Our findings support a direct link between the odds of depression and dietary GI but inverse associations between GL and mental disorders, depression, and psychological distress. This trial was registered at clinicaltrials.gov as NCT02362113.
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Affiliation(s)
- Fahimeh Haghighatdoost
- Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science
| | - Leila Azadbakht
- Food Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran;
| | | | - Christine Feinle-Bisset
- University of Adelaide Discipline of Medicine and National Health and Medical Research Council Centre of Research Excellence of Translating Nutritional Science to Good Health, Adelaide, Australia
| | | | - Hamid Afshar
- Integrative Functional Gastroenterology Research Center, and
| | - Awat Feizi
- Biostatistics and Epidemiology Department, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Peyman Adibi
- Integrative Functional Gastroenterology Research Center, and
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20
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Shin MK, Kim YS, Kim JH, Kim SH, Kim Y. Dietary Patterns and Their Associations with the Diet Quality Index-International (DQI-I) in Korean Women with Gestational Diabetes Mellitus. Clin Nutr Res 2015; 4:216-24. [PMID: 26566516 PMCID: PMC4641983 DOI: 10.7762/cnr.2015.4.4.216] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 09/06/2015] [Accepted: 09/25/2015] [Indexed: 12/21/2022] Open
Abstract
The aim of this study was to examine dietary pattern, nutritional intake, and diet quality of Korean pregnant women with gestational diabetes mellitus (GDM). Between October 2008 and May 2012, 166 pregnant women diagnosed with GDM completed a questionnaire and dietary intake was assessed using a 3-day food record. Blood pressure, fasting plasma glucose, and glycated hemoglobin (HbA1c) concentrations were measured and oral glucose tolerance test (OGTT) was performed. Two major dietary patterns ("carbohydrate and vegetable" and "western" patterns) were identified through factor analysis. Dietary pattern scores for each dietary pattern were categorized into tertiles. The dietary quality index-international (DQI-I) was used to measure overall diet quality. Subjects with higher carbohydrate and vegetable pattern scores reported less physical activity (p < 0.05) and have higher diastolic blood pressure levels (p = 0.05). After adjusting for age and energy intake, higher carbohydrate and vegetable pattern scores were associated with higher sodium intakes (p = 0.02), but lower intakes of fat (p = 0.002) and other micronutrients. On the other hand, higher western pattern scores were associated with higher fat intake (p = 0.0001), but lower intakes of sodium (p = 0.01) and other micronutrients. Higher scores for both dietary patterns were associated with lower scores in the moderation category of the DQI-I (p < 0.0001). HbA1c and fasting plasma glucose levels were significantly lower among participants with high DQI-I than those with low DQI-I (p < 0.05). The study findings suggest that many Korean women with GDM do not consume nutritionally adequate or balanced diets, regardless of dietary pattern.
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Affiliation(s)
- Moon-Kyung Shin
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
| | - Yoo-Sun Kim
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
| | - Jung-Hyun Kim
- Department of Physical Education, Chung-Ang University, Seoul 06974, Korea
| | - Sung-Hoon Kim
- Department of Medicine, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, Seoul 04619, Korea
| | - Yuri Kim
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea
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21
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Goletzke J, Buyken AE, Louie JCY, Moses RG, Brand-Miller JC. Dietary micronutrient intake during pregnancy is a function of carbohydrate quality. Am J Clin Nutr 2015; 102:626-32. [PMID: 26178724 DOI: 10.3945/ajcn.114.104836] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 06/15/2015] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Despite normal gestational weight gain, dietary studies in pregnant women show intakes below the recommendations for energy and micronutrients. OBJECTIVE This study compared changes in dietary intake from the second to third trimester with emphasis on energy intake and carbohydrate quality. DESIGN These post hoc analyses were based on 566 women participating in the Pregnancy and Glycemic Index Outcomes study, a randomized controlled trial comparing the effect of low-glycemic index (GI) dietary advice with healthy eating advice on selected pregnancy outcomes. With the use of multilevel mixed-regression analysis, changes in total energy intake, starch, sugar, fiber intake, GI, and glycemic load (GL) were correlated with intake of different micronutrients. RESULTS Energy intake decreased in the third trimester, and most women did not meet the national recommended amounts for iron, folate, and dietary fiber from food sources alone. After adjustment for age, ethnicity, prepregnancy body mass index, and intervention group, change in energy intake was positively related to change in intake of all micronutrients (P < 0.001). GI, GL, and starch intake were inversely related to micronutrient intake (P < 0.001), whereas higher total sugars predicted higher intake (P < 0.001). Associations with dietary fiber were inconsistent. CONCLUSIONS Normal pregnancy can be associated with a decline in energy and micronutrient intake from diet. Low dietary GI and GL were the best predictors of a favorable micronutrient profile. This trial was registered at www.anzctr.org.au as ACTRN12610000174088.
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Affiliation(s)
- Janina Goletzke
- IEL-Nutritional Epidemiology, University of Bonn, DONALD Study at the Research Institute of Child Nutrition, Dortmund, Germany; School of Molecular Bioscience and
| | - Anette E Buyken
- IEL-Nutritional Epidemiology, University of Bonn, DONALD Study at the Research Institute of Child Nutrition, Dortmund, Germany
| | | | - Robert G Moses
- Illawarra Shoalhaven Local Health District Wollongong, Wollongong, Australia
| | - Jennie C Brand-Miller
- School of Molecular Bioscience and Charles Perkins Centre, University of Sydney, Sydney, Australia; and
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22
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Sánchez-Tainta A, Zazpe I, Bes-Rastrollo M, Salas-Salvadó J, Bullo M, Sorlí JV, Corella D, Covas MI, Arós F, Gutierrez-Bedmar M, Fiol M, de la Corte FG, Serra-Majem L, Pinto X, Schröeder H, Ros E, López-Sabater MC, Estruch R, Martínez-González MA. Nutritional adequacy according to carbohydrates and fat quality. Eur J Nutr 2015; 55:93-106. [PMID: 25616935 DOI: 10.1007/s00394-014-0828-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Accepted: 12/23/2014] [Indexed: 11/26/2022]
Abstract
PURPOSE To investigate the association between carbohydrate quality, fat quality or adherence to the Mediterranean diet and intake adequacy of 19 micronutrients in the PREDIMED (PREvención con DIeta MEDiterránea) trial, a multicenter, randomized, controlled, parallel group and primary prevention trial conducted in Spain. METHODS We assessed baseline dietary intake of 6,542 elderly subjects at high cardiovascular risk through a validated food frequency questionnaire (FFQ) and a validated 14-item Mediterranean diet (Med-diet) score. We used a multidimensional carbohydrate quality index (CQI) using four criteria and a fat quality index (FQI) according to the ratio (MUFA + PUFA)/(SFA + TFA). The probability of intake adequacy was calculated comparing the intakes to DRI, and also using the probabilistic approach. Absolute and adjusted probability of having inadequate intake for either ≥6 DRI or ≥8 DRI were estimated to assess nutritional adequacy according to quintiles of each index. RESULTS The lowest prevalence of inadequate micronutrient intake (≥8 DRI) was found in the highest quintile of CQI or Med-diet score, and in the lowest quintile of FQI (adjusted fold risk: 1.4, 3.4 and 10.2 respectively in comparison with the lowest quintile). P for trend <0.001 in three multivariable models. A higher CQI or Med-Diet score and a lower FQI were significantly associated with a lower fold risk of unmet EAR values. CONCLUSIONS A multidimensional assessment of CQI can be a useful tool to evaluate the quality of carbohydrates. This score and a 14-item Med-diet score were positively related to overall micronutrient adequacy in elderly participants.
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Affiliation(s)
- Ana Sánchez-Tainta
- Department of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain.
| | - Itziar Zazpe
- Department of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain.
- Department of Nutrition and Food Sciences, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain.
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain.
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
| | - Jordi Salas-Salvadó
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Human Nutrition Unit, Sant Joan Hospital, IISPV, Universitat Rovira i Virgili, Reus, Spain.
| | - Mónica Bullo
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Human Nutrition Department, University Rovira i Virgili, Reus, Spain.
| | - José Vicente Sorlí
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
- Primary Care Division, Valencia Institute of Health and Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Dolores Corella
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, Valencia, Spain.
| | - M Isabel Covas
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Cardiovascular Epidemiology Unit, Municipal Institute for Medical Research (IMIM), Barcelona, Spain.
| | - Fernando Arós
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Department of Cardiology, University Hospital Txagorritxu-University Hospital of Alava, Vitoria, Spain.
| | - Mario Gutierrez-Bedmar
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Málaga, Málaga, Spain.
| | - Miquel Fiol
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Instituto de Investigación Sanitaria de Palma (IdISPa), Hospital Son Espases, Palma de Mallorca, Spain.
| | - F García de la Corte
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Primary Care Division of Sevilla, Department of Family Medicine, San Pablo Health Center, Sevilla, Spain.
| | - Lluis Serra-Majem
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
| | - Xavier Pinto
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain.
| | - Helmut Schröeder
- IMIM-Hospital del Mar Medical Research Institute and CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
- Instituto de Salud Carlos III, Madrid, Spain.
| | - Emilio Ros
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Lipid Clinic, Department of Endocrinology and Nutrition, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
| | - M Carmen López-Sabater
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Barcelona, Barcelona, Spain.
| | - Ramón Estruch
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
- Department of Internal Medicine, Hospital Clinic, IDIBAPS, University of Barcelona, Barcelona, Spain.
| | - Miguel Angel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain.
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
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Association between dietary carbohydrate intake quality and micronutrient intake adequacy in a Mediterranean cohort: the SUN (Seguimiento Universidad de Navarra) Project. Br J Nutr 2014; 111:2000-9. [DOI: 10.1017/s0007114513004364] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Epidemiological research confirms that the prevalence of suboptimal micronutrient intakes across Europe is an emerging concern in terms of public health. The aim of the present study was to investigate the association between a new index of carbohydrate (CHO) quality and micronutrient intake adequacy in the ‘Seguimiento Universidad de Navarra (SUN)’ cohort. The baseline assessment extended from 1999 to March 2012. We assessed 16 841 participants who completed a validated 136-item semi-quantitative FFQ at baseline. We created a new index to evaluate CHO quality for the following four criteria: dietary fibre intake; glycaemic index; whole grains:total grains ratio; solid CHO:total CHO ratio. The subjects were classified into quintiles according to this index. We evaluated the intakes of Zn, I, Se, Fe, Ca, K, P, Mg, Cr and vitamins B1, B2, B3, B6, B12, C, A, D, E and folic acid. The probability of intake adequacy was evaluated using the estimated average requirement cut-point approach and the probabilistic approach. Logistic regression analysis was used to assess the nutritional adequacy according to the CHO quality index (CQI). Participants in the highest quintile of CQI were found to have the lowest prevalence of inadequacy. A higher quality of CHO intake was found to be associated with a lower risk of nutritional inadequacy in comparison with the lowest quintile of CQI (adjusted OR 0·06, 95 % CI 0·02, 0·16;Pfor trend < 0·001). A higher CQI was found to be strongly associated with better micronutrient intake adequacy in the young Mediterranean cohort, stressing the importance of focusing nutritional education not only on CHO quantity, but also on quality.
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Affiliation(s)
- Jimmy Chun Yu Louie
- Faculty of Science, Medicine and Health, The University of Wollongong, New South Wales, Australia (JCYL)
- School of Molecular Bioscience and Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, The University of Sydney, New South Wales, Australia (JCBM)
| | - Jennie C. Brand-Miller
- Faculty of Science, Medicine and Health, The University of Wollongong, New South Wales, Australia (JCYL)
- School of Molecular Bioscience and Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, The University of Sydney, New South Wales, Australia (JCBM)
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25
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Mohd Yusof BN, Firouzi S, Mohd Shariff Z, Mustafa N, Mohamed Ismail NA, Kamaruddin NA. Weighing the evidence of low glycemic index dietary intervention for the management of gestational diabetes mellitus: an Asian perspective. Int J Food Sci Nutr 2014; 65:144-50. [DOI: 10.3109/09637486.2013.845652] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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