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Zhu L, Shu Y, Ran J, Zhang C. Glycemic load, but not glycemic index, is associated with an increased risk of ovarian cancer: A systematic review and meta-analysis. Nutr Res 2024; 123:67-79. [PMID: 38281319 DOI: 10.1016/j.nutres.2024.01.003] [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: 08/07/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/30/2024]
Abstract
The association between glycemic index (GI),glycemic load (GL) and ovarian cancer risk remains unclear. Carbohydrate intake promotes insulin secretion, leading to cell proliferation and invasion. We hypothesized that high GI and GL intake may increase ovarian cancer risk. Therefore, we conducted a meta-analysis after systematically searching PubMed, Embase, Web of Science, and Cochrane Library from inception to December 2022. Fixed- or random-effect models calculated the pooled relative risks (RRs) and corresponding 95% confidence intervals (CIs). Subgroup, sensitivity, publication bias analysis, and dose-response analysis were performed. Nine original studies were included, involving 4716 cases and 119,960 controls. No significant association was observed between GI or GL and ovarian cancer risk (GI: RR = 1.02 [95% CI, 0.83-1.26]; GL: RR = 1.11 [95% CI, 0.84-1.47]). Subgroup analysis suggested the results were not significantly modified by any group. Sensitivity analysis identified the sources of heterogeneity. No publication bias was observed. A linear positive dose-response relationship was observed between dietary GL and ovarian cancer risk after removing heterogeneous sources (RR = 1.11 [95% CI, 1.05-1.17], I2 = 32.9%, P = .23 at 50 U/d; RR = 1.04 [95% CI, 1.02-1.07], I2 = 19.1%, P = .29 at 20 U/d). These outcomes suggest that high dietary GL, but not GI, is associated with significantly increased ovarian cancer risk. Thus, sufficient intake of a low dietary GL is important for reducing ovarian cancer risk.
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Affiliation(s)
- Lin Zhu
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei Province, China
| | - Yang Shu
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei Province, China
| | - Jing Ran
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei Province, China
| | - Chunxia Zhang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei Province, China.
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2
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The Burden of Carbohydrates in Health and Disease. Nutrients 2022; 14:nu14183809. [PMID: 36145184 PMCID: PMC9505863 DOI: 10.3390/nu14183809] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
Foods high in carbohydrates are an important part of a healthy diet, since they provide the body with glucose to support bodily functions and physical activity. However, the abusive consumption of refined, simple, and low-quality carbohydrates has a direct implication on the physical and mental pathophysiology. Then, carbohydrate consumption is postulated as a crucial factor in the development of the main Western diseases of the 21st century. We conducted this narrative critical review using MedLine (Pubmed), Cochrane (Wiley), Embase, and CinAhl databases with the MeSH-compliant keywords: carbohydrates and evolution, development, phylogenetic, GUT, microbiota, stress, metabolic health, consumption behaviors, metabolic disease, cardiovascular disease, mental disease, anxiety, depression, cancer, chronic kidney failure, allergies, and asthma in order to analyze the impact of carbohydrates on health. Evidence suggests that carbohydrates, especially fiber, are beneficial for the well-being and growth of gut microorganisms and consequently for the host in this symbiotic relationship, producing microbial alterations a negative effect on mental health and different organic systems. In addition, evidence suggests a negative impact of simple carbohydrates and refined carbohydrates on mood categories, including alertness and tiredness, reinforcing a vicious circle. Regarding physical health, sugar intake can affect the development and prognosis of metabolic disease, as an uncontrolled intake of refined carbohydrates puts individuals at risk of developing metabolic syndrome and subsequently developing metabolic disease.
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3
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Dietary glycemic index, glycemic load intake, and risk of lung cancer: A meta-analysis of observational studies. Nutrition 2022; 99-100:111676. [DOI: 10.1016/j.nut.2022.111676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/10/2022] [Accepted: 03/28/2022] [Indexed: 11/22/2022]
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Association between dietary related factors and central obesity among married women: China Health and Nutrition Survey. Appetite 2022; 168:105785. [PMID: 34728248 DOI: 10.1016/j.appet.2021.105785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 10/25/2021] [Accepted: 10/29/2021] [Indexed: 12/31/2022]
Abstract
Waist-to-height ratio (WHtR) with a cut-off value of 0.5 has been recognized as an anthropometric indicator of central obesity to predict the risk of the chronic disease. The aim of our study was to identify dietary related risk factors of central obesity based on WHtR. We used cross-sectional data from the China Health and Nutrition Survey (CHNS) in 2011 obtained from 2881 married women aged 19-55. The association of dietary related factors and central obesity was analyzed using binary logistic regression and back-propagation artificial neural network. Overall, central obesity prevalence was 48.4% (1394/2881). Compared to the population of women without central obesity, the population of women with central obesity had an older average age (41.84 ± 6.89 years vs 38.45 ± 7.91 years, P < 0.001), and meanwhile an average lower per capita annual income (13904 ± 15916 CNY vs 16753 ± 19163 CNY, P < 0.001). Our analysis indicated that the score of dietary knowledge (adjusted odds ratio (aOR), 0.956; 95% confidence interval (CI), 0.936-0.976) and the score of food preferences (aOR, 0.961; 95% CI, 0.926-0.997) were significantly associated with lower risk of central obesity; whereas fast food (aOR, 1.002; 95% CI, 1.000-1.003) was associated with higher risk of central obesity. The study showed the score of dietary knowledge (15.5%), fast foods (10.2%), and the score of food preferences (8.8%) were the most important modifiable factors for central obesity. In summary, aging, fast food intake, and lower per capita annual income were positively associated with higher prevalence of central obesity, while higher scores of dietary knowledge and food preferences were negatively correlated. More nutrition education programs should be implemented by the government to strengthen the pro-healthy dietary behaviors.
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Dreher ML, Ford NA. A Comprehensive Critical Assessment of Increased Fruit and Vegetable Intake on Weight Loss in Women. Nutrients 2020; 12:nu12071919. [PMID: 32610460 PMCID: PMC7399879 DOI: 10.3390/nu12071919] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 06/23/2020] [Accepted: 06/24/2020] [Indexed: 12/16/2022] Open
Abstract
No previous reviews or meta-analyses have specifically assessed the effects of increased fruit and vegetable (FV) intake on weight loss with a primary focus on women. Several studies show differences between men and women in how increased FV intake affects their weight loss and maintenance, risk of becoming overweight or obese, and the influence of eating speed and frequency on weight control. This analysis provides a comprehensive and visual assessment of the effects of increasing FV intake and long-term weight change from observational studies and weight loss from randomized controlled trials (RCTs) in women. Consistent evidence from prospective studies and RCTs shows that increased intake of FV is a chief contributor to weight loss in women. This effect is enhanced with concurrent dietary restriction of high energy density (ED) or high-fat foods. Yet, the type of FV differentially impacts weight loss in women. Whole FV intake may influence weight through a variety of mechanisms including a reduction in eating rate, providing a satisfying, very-low to low energy density, low glycemic load or low-fat content. Also, FV are the primary source of dietary fiber, which can provide additional support for weight loss in women when consumed at adequate levels.
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Affiliation(s)
- Mark L. Dreher
- Nutrition Science Solutions, LLC, 900 S Rainbow Ranch Rd, Wimberley, TX 78676, USA;
| | - Nikki A. Ford
- Avocado Nutrition Center, 25212 Marguerite Pkwy Ste. 250, Mission Viejo, CA 92692, USA
- Correspondence: ; Tel.: +1-949-341-3250
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Marinho AR, Severo M, Ramos E, Lopes C. Evaluating the association of free sugars intake and glycemic load on cardiometabolic outcomes: A prospective analysis throughout adolescence into early adulthood. Obes Res Clin Pract 2020; 14:142-150. [PMID: 32446617 DOI: 10.1016/j.orcp.2020.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 02/20/2020] [Accepted: 03/06/2020] [Indexed: 11/19/2022]
Abstract
PURPOSE To prospectively evaluate the relation of free sugars intake and glycemic load with adiposity and insulin resistance, from adolescence into early adulthood. METHODS Data from the population-based cohort EPITeen (Porto, Portugal) at 13 and 21 years old was used (n = 1034). At both ages, dietary assessment was obtained by food frequency questionnaires (FFQ). Added sugar of each food item was estimated based on a systematic methodology described by Louie et al. Free sugars (FS) were defined according to World Health Organization. To each food item of the FFQ, a calculated mean value of FS and glycemic index was assigned. Dietary glycemic load (GL) was determined for each participant. Sex- and age-specific body mass index z-score (BMIz) and waist-to-weight ratio (WWr) were used as measures of adiposity, and the homeostasis model assessment (HOMA-IR) as a measure of insulin resistance. A cross-lagged path analysis was performed to examine causal relationships between FS intake or dietary GL with BMIz, WWr or HOMA-IR. RESULTS No significant association was found between intake of FS and dietary GL at 13 years with BMIz, WWr or HOMA-IR at 21. A significant inverse association was found between BMIz at 13 and FS (β = -0.595,95%CI -0.830, -0.359) and dietary GL (β = -0.687,95%CI -0.937,-0.437) at 21 years. Intake of FS, dietary GL, as well as BMIz, WWr and HOMA-IR tracked from 13 to 21 years. CONCLUSION No significant association was found between consumption of FS and GL at 13 years with cardiometabolic features at 21 years. Dietary intake and cardiometabolic outcomes tracked from adolescence into early adulthood.
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Affiliation(s)
- Ana Rita Marinho
- Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; EPIUnit - Institute of Public Health, University of Porto, Rua das Taipas, nº 135, 4050-600 Porto, Portugal
| | - Milton Severo
- Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; EPIUnit - Institute of Public Health, University of Porto, Rua das Taipas, nº 135, 4050-600 Porto, Portugal
| | - Elisabete Ramos
- Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; EPIUnit - Institute of Public Health, University of Porto, Rua das Taipas, nº 135, 4050-600 Porto, Portugal
| | - Carla Lopes
- Department of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; EPIUnit - Institute of Public Health, University of Porto, Rua das Taipas, nº 135, 4050-600 Porto, Portugal.
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Melekoglu E, Goksuluk D, Akal Yildiz E. Association between Dietary Glycaemic Index and Glycaemic Load and Adiposity Indices in Polycystic Ovary Syndrome. J Am Coll Nutr 2019; 39:537-546. [PMID: 31887072 DOI: 10.1080/07315724.2019.1705200] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objective: Obesity is a key contributor to metabolic and reproductive outcomes in polycystic ovary syndrome (PCOS). The role of the dietary glycemic index (GI) and load (GL), and adiposity has been debated and studies on PCOS are scarce. We aimed to compare the dietary GI and GL and several anthropometric measurements in PCOS and control women. The association between dietary GI and GL and adiposity indices was examined in this cross-sectional study.Methods and materials: A study population consisted of 65 previously diagnosed with PCOS and 65 healthy women. All participants underwent detailed anthropometric, dietary and physical activity evaluation and categorized based on GI and GL tertiles.Results: When dietary GL was adjusted for age, physical activity level (PAL), and duration of diagnosis, there was a statistically significant inverse association between dietary GL and waist/hip ratio (WHR) (OR: 0.136; 95% CI: 0.021-0.874; p = 0.036) in women with PCOS. Both dietary GI (OR: 8.869; 95% CI: 1.194-65.910; p = 0.033 for tertile 2 in adjustment model) and GL (OR: 7.200; 95% CI: 1.635-31.712; p = 0.009 for tertile 3 in crude model; OR: 5.801; 95% CI: 1.242-27.096; p = 0.025 for tertile 3 in adjustment model) positively associated with WHR in healthy subjects. Also, positive association was observed between dietary GI and waist/height ratio (WHtR) (OR: 0.229; 95% CI: 0.063-0.826; p = 0.024 for tertile 2; OR: 0.277; 95% CI: 0.078-0.988; p = 0.048 for tertile 3) in healthy controls, however after adjustment for age and PAL, statistical significance was lost (OR: 1.051; 95% CI: 0.152-7.261; p = 0.959 for tertile 2; OR: 1.522; 95% CI: 0.225-10.297; p = 0.667 for tertile 3).Conclusion: The results of this study consistent with the literature that PCOS is associated with increased adiposity indices. There was no association between dietary GI/GL and BMI, WC, WHtR, and ABSI but dietary GL was inversely associated WHR in PCOS patients.
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Affiliation(s)
- Ebru Melekoglu
- Nutrition and Dietetics Department, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Dincer Goksuluk
- Department of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Emine Akal Yildiz
- Nutrition and Dietetics Department, Faculty of Health Sciences, Eastern Mediterranean University, Famagusta, North Cyprus, Turkey
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Suara SB, Siassi F, Saaka M, Rahimi Foroshani A, Sotoudeh G. Association between Carbohydrate Quality Index and general and abdominal obesity in women: a cross-sectional study from Ghana. BMJ Open 2019; 9:e033038. [PMID: 31874884 PMCID: PMC7008417 DOI: 10.1136/bmjopen-2019-033038] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES The relationships between carbohydrate intake and risk of obesity have been widely investigated. However, there are limited data on the associations between their relative proportions and quality contained in the same diet on risk of obesity, especially in low-income and middle-income countries. The aim of this study was to assess the relationship between an overall Carbohydrate Quality Index (CQI) and general and abdominal obesity in women. SETTING AND PARTICIPANTS In this cross-sectional study, data from 277 women in Ghana were analysed. Dietary information was obtained from 2-day 24 hours dietary recalls. CQI was calculated from the four indices dietary fibre, Glycaemic Index, whole grains/total grains ratio and solid carbohydrates/total carbohydrates ratio. OUTCOME MEASURES Body mass index, waist circumference (WC), waist-to-height ratio (WHtR) and Conicity Index were measured. RESULTS After adjusting for covariates, the chance for general obesity (OR 0.25, 95% CI 0.10 to 0.65) and abdominal obesity measured by WC (OR 0.22, 95% CI 0.08 to 0.58) were significantly lower in the topmost quintile of CQI in comparison with the lowest quintile. In addition, the OR for higher WHtR (OR 0.27, 95% CI 0.11 to 0.69) was significantly lower among participants in the fifth quintile of CQI compared with those in the first quintile. CONCLUSIONS The present study demonstrates that there is an inverse association between dietary CQI and both general and abdominal obesity. These findings suggest that CQI may be used for the improvement of dietary intake to prevent obesity.
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Affiliation(s)
- Sufyan Bakuri Suara
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, International College, Tehran University of Medical Sciences, Tehran, Iran, Tehran, Iran (the Islamic Republic of)
| | - Fereydoun Siassi
- Department of Community Nutrition, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
| | - Mahama Saaka
- Community Nutrition, University for Development Studies, Tamale, Ghana
| | - Abbas Rahimi Foroshani
- Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran, Islamic Republic of
| | - Gity Sotoudeh
- Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran, Iran (the Islamic Republic of)
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Sasaki S. Rice and Prevention of Type 2 Diabetes: Narrative Review of Epidemiologic Evidene. J Nutr Sci Vitaminol (Tokyo) 2019; 65:S38-S41. [PMID: 31619642 DOI: 10.3177/jnsv.65.s38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Inspite that rice is a main staple and heaviliy consumed in most of Asian populations, health effect of rice has been less examined in nutritional epidemiologic studies compared to those of foods such as fruits, vegetables, meats and fish. Some recent meta-analyses that collected prospective cohort studies reported the associations between rice intake and incidence of and mortality from some chronic diseases especially type 2 diabetes. Concerning type 2 diabetes, the results are remarkably different between white (polished) rice and brown (unpolished) rice: the former increased and the latter decreased the risk. This difference may partly be explained by the different types and amounts of dietary fiber and different scores of dietary glycemic index. However, the results on dietary fiber and dietary glycemic index were not necessarily consistent. Indirect effect of rice intake has been examined through the studies on association of dietary patterns and breakfast skipping to type 2 diabetes. However, most of the results were inconclusive. Simple and straightforward judgement on the effect of rice to type 2 diabete should be avoided, and more nutritional epidemiologic studies with high research quality, including basic studies on dietary assessment, are needed, especially in Asian populations.
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Affiliation(s)
- Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, the Univeristy of Tokyo
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Lightowler H, Schweitzer L, Theis S, Henry CJ. Changes in Weight and Substrate Oxidation in Overweight Adults Following Isomaltulose Intake During a 12-Week Weight Loss Intervention: A Randomized, Double-Blind, Controlled Trial. Nutrients 2019; 11:E2367. [PMID: 31590285 PMCID: PMC6836138 DOI: 10.3390/nu11102367] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 09/24/2019] [Accepted: 10/02/2019] [Indexed: 12/31/2022] Open
Abstract
Low-glycemic compared to high-glycemic diets have been shown to improve metabolic status and enhance fat oxidation. The randomized, double-blind, controlled intervention study aimed to evaluate the effects of an energy-reduced diet containing isomaltulose (ISO, Palatinose™) versus sucrose (SUC) on body weight loss. Sixty-four healthy overweight/obese adults were allocated to consume either 40g/d ISO or SUC added to an energy-reduced diet for 12 weeks. Anthropometric measurements, body composition, and energy metabolism were assessed at baseline and after 4, 8, and 12 weeks. Fifty participants (age: 40.7 ± 11.7 y; BMI: 29.4 ± 2.7 kg/m²) completed the study. During the 12 weeks, both groups significantly lost weight (p < 0.001), which was more pronounced following ISO (-3.2 ± 2.9 vs. -2.1 ± 2.6 kg; p = 0.258). Moreover, for participants in the ISO group, this was accompanied by a significant reduction in fat mass (ISO: -1.9 ± 2.5, p = 0.005; SUC: -0.9 ± 2.6%, p = 0.224). The overall decrease in energy intake was significantly higher in the ISO compared to that in the SUC group (p = 0.022). In addition, breakfast containing ISO induced a significantly lower increase in postprandial respiratory quotient (RQ) (mean incremental area under the curve (iAUC)2h for ISO vs. SUC: 4.8 ± 4.1 vs. 6.9 ± 3.1, p = 0.047). The results suggest that ISO in exchange for SUC may help to facilitate body weight reduction, lower postprandial RQ associated with higher fat oxidation, and reduce energy intake.
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Affiliation(s)
- Helen Lightowler
- Oxford Brookes Centre for Nutrition and Health, Department of Sport, Health Sciences and Social Work, Faculty of Health and Life Sciences, Oxford Brookes University, Gipsy Lane Campus, Headington, Oxford OX3 0BP, UK.
| | - Lisa Schweitzer
- BENEO-Institute, BENEO GmbH, Wormser Straße 11, 67283 Obrigheim/Pfalz, Germany.
| | - Stephan Theis
- BENEO-Institute, BENEO GmbH, Wormser Straße 11, 67283 Obrigheim/Pfalz, Germany.
| | - Christiani Jeyakumar Henry
- Clinical Nutrition Research Centre (CNRC), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR) and National University Health System, Centre for Translational Medicine, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, Singapore 117599, Singapore.
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11
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Turati F, Galeone C, Augustin LSA, La Vecchia C. Glycemic Index, Glycemic Load and Cancer Risk: An Updated Meta-Analysis. Nutrients 2019; 11:nu11102342. [PMID: 31581675 PMCID: PMC6835610 DOI: 10.3390/nu11102342] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 09/30/2019] [Indexed: 12/20/2022] Open
Abstract
Diets high in glycemic index (GI) and glycemic load (GL) have been related to an increased risk of selected cancers, but additional quantification is required. We updated a systematic review and meta-analysis published in 2015 to May 2019 to provide quantitative information on GI/GL and cancer risk. Relative risks (RR) and the corresponding 95 % confidence intervals (CI) for the highest versus the lowest categories of GI and GL were extracted from selected studies and pooled using random-effects models. Twenty reports (>22,000 cancer cases) have become available after January 2015, and 15 were added to the meta-analyses by cancer sites, which considered a total of 88 investigations. The five additional reports were reviewed, but not included in the meta-analyses, since data were inadequate to be pooled. For hormone-related cancers, summary RRs for the highest versus lowest GI and GL intakes were moderately increased. They ranged from 1.04 (breast) to 1.12 (endometrium) for GI and from 1.03 (prostate) to 1.22 (ovary) for GL, of borderline significance. High GI was associated with small increased risks of colorectal (summary RR for GI: 1.20, 95% CI, 1.07–1.34—GL: 1.09, 95% CI, 0.97–1.22, 19 studies), bladder (GI: 1.25, 95% CI, 1.11–1.41—GL: 1.10, 95% CI, 0.85–1.42, four studies) and kidney cancers (GI: 1.16, 95% CI, 1.02–1.32—GL: 1.14, 95% CI, 0.81–1.60, five studies). GL was not significantly related to those cancer sites. Stomach, prostate and lung cancers were not associated with GI and GL. The present analysis, based on an updated comprehensive evaluation of the epidemiological literature, indicates moderate unfavorable effects of high versus low GI on colorectal, and possibly bladder and kidney cancers, and a possible moderate positive association between GL and endometrial cancer.
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Affiliation(s)
- Federica Turati
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133 Milan, Italy.
| | - Carlotta Galeone
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133 Milan, Italy.
| | - Livia S A Augustin
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON M5B 1W8, Canada.
- National Cancer Institute, SSD di Epidemiologia, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", 80131 Naples, Italy.
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133 Milan, Italy.
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12
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Fu Y, Hu X, Zheng C, Sun G, Xu J, Luo S, Cao P. Intrahippocampal miR-342-3p inhibition reduces β-amyloid plaques and ameliorates learning and memory in Alzheimer's disease. Metab Brain Dis 2019; 34:1355-1363. [PMID: 31134481 DOI: 10.1007/s11011-019-00438-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 05/20/2019] [Indexed: 12/26/2022]
Abstract
Accumulation of extracellular amyloid-β (Aβ) in hippocampal subregions is a hallmark of Alzheimer's disease (AD), which promotes neuronal apoptosis, potentiates cognitive decline and play a causative role in AD pathogenesis. However, whether this process is controlled by distinct miRNAs at the posttranscriptional level remain fascinating but poorly understood. Using post mortem hippocampal samples from human AD patients and 3xTg-AD mouse, we demonstrate that miR-342-3p expression was significantly induced during the AD development. With the aid of intrahippocampal injection of miR-342-3p antagomir, we further show that in vivo miR-342-3p inhibition synergistically improved cognitive deficits in 3xTg-AD mice. The hippocampal Aβ-plaque burden in 3xTg-AD mice, as revealed by immunohistochemical analysis with 4G8 antibody, was attenuated also. Mechanistically, the upregulation of neuronal miR-342-3p is linked to an increase in the activation of the stress kinase c-Jun N-terminal kinase with the subsequent death of the neurons in Aβ-challenged HT22 hippocampal neuronal cells. These findings support the model that derangement of hippocampus signal transduction and subsequent neuronal apoptosis in AD arises as a consequence of increased Aβ burden and chronic activation of the JNK MAPK cascade in a miR-342-3p-dependent manner. Overall, we described for the first time the regulatory activity of miR-342-3p on relevant Aβ metabolism pathways in Alzheimer's disease.
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Affiliation(s)
- Yin Fu
- Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Xiaoyang Hu
- Basic Medical College of Heilongjiang University of Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Chunyu Zheng
- Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Guicai Sun
- Department of Orthopaedics, The Fourth Affiliated Hospital of Nanchang University, Jiangxi, 330003, China
| | - Jianyu Xu
- Department of Radiation Oncology, Tumor Hospital of Harbin Medical University, Harbin, 150000, China
| | - Shanshan Luo
- Department of Pharmacy, No.211 Hospital of PLA, Harbin, 50000, China
| | - Peigang Cao
- Department of Cardiology, General Hospital of Heilongjiang Agricultural Reclamation Bureau, No. 235 Hashuang Road, Harbin, 150088, Heilongjiang Province, China.
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Raczkowska E, Łoźna K, Bienkiewicz M, Jurczok K, Bronkowska M. Relation between the Recipe of Yeast Dough Dishes and Their Glycaemic Indices and Loads. Foods 2019; 8:E377. [PMID: 31480598 PMCID: PMC6769818 DOI: 10.3390/foods8090377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/25/2019] [Accepted: 08/30/2019] [Indexed: 12/12/2022] Open
Abstract
The aim of the study was to evaluate the glycaemic indices (GI) and glycaemic loads (GL) of four food dishes made from yeast dough (steamed dumplings served with yoghurt, apple pancakes sprinkled with sugar powder, rolls with cheese and waffles with sugar powder), based on their traditional and modified recipes. Modification of the yeast dough recipe consisted of replacing wheat flour (type 500) with whole-wheat flour (type 2000). Energy value and the composition of basic nutrients were assessed for every tested dish. The study was conducted on 50 people with an average age of 21.7 ± 1.1 years, and an average body mass index of 21.2 ± 2.0 kg/m2. The GI of the analysed food products depended on the total carbohydrate content, dietary fibre content, water content, and energy value. Modification of yeast food products by replacing wheat flour (type 500) with whole-wheat flour (type 2000) contributed to the reduction of their GI and GL values, respectively.
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Affiliation(s)
- Ewa Raczkowska
- Department of Human Nutrition, Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, 51-630 Wroclaw, Poland.
| | - Karolina Łoźna
- Department of Human Nutrition, Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, 51-630 Wroclaw, Poland
| | - Maciej Bienkiewicz
- Department of Human Nutrition, Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, 51-630 Wroclaw, Poland
| | - Karolina Jurczok
- Department of Human Nutrition, Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, 51-630 Wroclaw, Poland
| | - Monika Bronkowska
- Department of Human Nutrition, Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, 51-630 Wroclaw, Poland
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14
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Facchinetti F, Vijai V, Petrella E, Gambigliani Zoccoli S, Pignatti L, Di Cerbo L, Neri I. Food glycemic index changes in overweight/obese pregnant women enrolled in a lifestyle program: a randomized controlled trial. Am J Obstet Gynecol MFM 2019; 1:100030. [DOI: 10.1016/j.ajogmf.2019.100030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 11/25/2022]
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15
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Tam KW, Veerman JL. Prevalence and characteristics of energy intake under-reporting among Australian adults in 1995 and 2011 to 2012. Nutr Diet 2019; 76:546-559. [PMID: 31257717 DOI: 10.1111/1747-0080.12565] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 03/13/2019] [Accepted: 05/24/2019] [Indexed: 11/28/2022]
Abstract
AIM Misreporting of energy intake is a common source of measurement error found in dietary surveys, resulting in biased estimates and a reduction in statistical power. The present study aims to refine the conventional cut-off methods and to examine the extent to which Australian adults misreport their energy intake, and the characteristics of under-reporters between two time points. METHODS A revised Goldberg cut-off approach was used to identify those who reported implausible intake amounts in a secondary analysis of two large cross-sectional surveys. Identified low energy reporters were then used as the outcome variable in Poisson regressions to examine association with sex, age, body mass index (BMI), weight perceptions, education, relative household income, geographic remoteness and relative socioeconomic disadvantage. RESULTS The prevalence of under-reporting increased from 32% in 1995 to 41% in 2012, most of which can be attributed to an increase in men. Under-reporting has a positive association with BMI and relative socioeconomic disadvantage, but an inverse association with age, education, relative household income and residence in inner regional areas. CONCLUSIONS Under-reporting of energy intake is high in Australian adults, and appears have worsened over time in men, which could be partly explained by the upward trend in obesity. The use of conventional Goldberg method to identify under-reporters can greatly underestimate the prevalence of under-reporting, future studies should consider selecting a lower critical value to improve accuracy.
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Affiliation(s)
- King W Tam
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Jacob L Veerman
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia.,School of Medicine, Griffith University, Brisbane, Queensland, Australia.,Cancer Council NSW, Sydney, New South Wales, Australia
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16
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Narrative Review of New Methods for Assessing Food and Energy Intake. Nutrients 2018; 10:nu10081064. [PMID: 30103401 PMCID: PMC6116053 DOI: 10.3390/nu10081064] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 07/30/2018] [Accepted: 08/06/2018] [Indexed: 12/31/2022] Open
Abstract
Dietary self-report instruments are essential to nutritional analysis in dietetics practice and their use in research settings has facilitated numerous important discoveries related to nutrition, health and chronic diseases. An important example is obesity, for which measuring changes in energy intake is critical for assessing efficacy of dietary interventions. However, current methods, including counting calories, estimating portion size and using food labels to estimate human energy intake have considerable constraints; consequently, research on new methodologies/technologies has been encouraged to mitigate the present weaknesses. The use of technologies has prompted innovation in dietary analysis. In this review, the strengths and limitations of new approaches have been analyzed based on ease of use, practical limitations, and statistical evaluation of reliability and validity. Their utility is discussed through the lens of the 4Ms of Obesity Assessment and Management, which has been used to evaluate root causes of obesity and help select treatment options.
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17
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Fuseini AM, Rahimi MH, Mollahosseini M, Yekaninejad MS, Maghbooli Z, Mirzaei K. The Association Between Dietary Glycemic Index and Glycemic Load and a Body Shape and Fat Distribution Among Apparently Healthy Iranian Adults. J Am Coll Nutr 2018. [DOI: 10.1080/07315724.2017.1416312] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Abdul-Mutala Fuseini
- Department of Community Nutrition, Tehran University of Medical Sciences–International Campus, Tehran, Iran
| | | | - Mehdi Mollahosseini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Mir Saeed Yekaninejad
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Zhila Maghbooli
- Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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18
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Murakami K, Livingstone MBE. Greenhouse gas emissions of self-selected diets in the UK and their association with diet quality: is energy under-reporting a problem? Nutr J 2018; 17:27. [PMID: 29466993 PMCID: PMC5822528 DOI: 10.1186/s12937-018-0338-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 02/13/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND While the admittedly limited number of epidemiological findings on the association between diet-related greenhouse gas emissions (GHGE) and diet quality are not always consistent, potential influence of bias in the estimation of diet-related GHGE caused by misreporting of energy intake (EI) has not been investigated. This cross-sectional study evaluated diet-related GHGE in the UK and their association with diet quality, taking account of EI under-reporting. METHODS Dietary data used were from the National Diet and Nutrition Survey rolling programme 2008/2009-2013/2014, in which 4-day food diaries were collected from 3502 adults aged ≥19 years. Diet-related GHGE were estimated based on 133 food groups, using GHGE values from various secondary sources. Diet quality was assessed by the healthy diet indicator (HDI), Mediterranean diet score (MDS) and Dietary Approaches to Stop Hypertension (DASH) score. EI misreporting was assessed as reported EI divided by estimated energy requirement (EI:EER). RESULTS Mean value of daily GHGE was 5.7 kg carbon dioxide equivalents (CO2eq), which is consistent with those reported from a number of national representative samples in other European countries. Mean EI:EER was 0.74. Assuming that all the dietary variables were misreported in proportion to the misreporting of EI, the mean value of the misreporting-adjusted diet-related GHGE was 8.2 kg CO2eq/d. In the entire population, after adjustment for potential confounders (i.e., age, sex, ethnicity, socioeconomic classification, smoking status and physical activity), diet-related GHGE were inversely associated with HDI and DASH score but not with MDS. However, with further adjustment for EI:EER, diet-related GHGE showed inverse associations with all three measures of diet quality. Similar associations were observed when only under-reporters (EI:EER < 0.70; n = 1578) were analysed. Conversely, in the analysis including only plausible reporters (EI:EER 0.70-1.43; n = 1895), diet-related GHGE showed inverse associations with all diet quality measures irrespective of adjustment. CONCLUSIONS With taking account of EI under-reporting, this study showed inverse associations between diet-related GHGE and diet quality not only in the entire sample but also in the separate analyses of plausible reporters and under-reporters, as well as potential underreporting of diet-related GHGE.
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Affiliation(s)
- Kentaro Murakami
- Interfaculty Initiative in Information Studies, University of Tokyo, Tokyo, 113 0033, Japan.
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19
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Glycemic index and glycemic load of the diets of Japanese adults: the 2012 National Health and Nutrition Survey, Japan. Nutrition 2018; 46:53-61. [DOI: 10.1016/j.nut.2017.08.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 08/15/2017] [Accepted: 08/27/2017] [Indexed: 11/21/2022]
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20
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Murakami K, Sasaki S. A low–glycemic index and –glycemic load diet is associated with not only higher intakes of micronutrients but also higher intakes of saturated fat and sodium in Japanese children and adolescents: the National Health and Nutrition Survey. Nutr Res 2018; 49:37-47. [DOI: 10.1016/j.nutres.2017.10.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 10/20/2017] [Accepted: 10/20/2017] [Indexed: 10/18/2022]
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21
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Dietary Patterns in Relation to Metabolic Syndrome among Adults in Poland: A Cross-Sectional Study. Nutrients 2017; 9:nu9121366. [PMID: 29258212 PMCID: PMC5748816 DOI: 10.3390/nu9121366] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 12/09/2017] [Accepted: 12/14/2017] [Indexed: 01/06/2023] Open
Abstract
In several populations the associations between diet and the risk of metabolic syndrome have not been fully examined yet. The aim of the study is to identify the main dietary patterns among Polish adults and the evaluation of the relationships of these patterns with metabolic syndrome and its components. The study was conducted on a group of 7997 participants, aged between 37 and 66 years old. Dietary patterns were identified by factor analysis. Metabolic syndrome was defined according to the International Diabetes Federation. Three dietary patterns were identified and designated as: "Healthy", "Westernized" and "Traditional-carbohydrate". In the adjusted model, a higher score in the "Westernized" pattern aligns with a higher risk of abnormal glucose concentration (ptrend = 0.000), but with a lower risk of abnormal High-Density Lipoprotein Cholesterol HDL-cholesterol concentration (ptrend = 0.024). Higher scores in the "Traditional-carbohydrate" pattern were connected with the risk of abdominal obesity (ptrend = 0.001) and increased triglycerides concentration (ptrend = 0.050). Our results suggest that adherence to the "Traditional-carbohydrate" dietary pattern, characterized by higher intakes of refined grains, potatoes, sugar and sweets is associated with a higher risk of abdominal obesity and triglyceridemia. A "Westernized" dietary pattern on the other hand, is related to hyperglycemia. The study results can be used for community-based health promotion and intervention programs to prevent or better manage chronic diseases.
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22
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Murakami K. Nutritional quality of meals and snacks assessed by the Food Standards Agency nutrient profiling system in relation to overall diet quality, body mass index, and waist circumference in British adults. Nutr J 2017; 16:57. [PMID: 28903773 PMCID: PMC5598004 DOI: 10.1186/s12937-017-0283-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 09/06/2017] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Studies examining meal and snack eating behaviors in relation to overall diet and health markers are limited, at least partly because there is no definitive consensus about what constitutes a snack, a meal, or an eating occasion. This cross-sectional study examined how nutritional quality of meals and snacks is associated with overall diet quality, body mass index (BMI), and waist circumference. METHODS Based on 7-d weighed dietary record data, all eating occasions were divided into meals or snacks based on time (meals: 0600-1000, 1200-1500, and 1800-2100 h; snacks: others) or contribution to energy intake (EI) (meals: ≥15%; snacks: <15%) in 1451 British adults aged 19-64 years participating in the National Diet and Nutrition Survey. Nutritional quality of meals and snacks was assessed as the arithmetic EI-weighted means of the British Food Standards Agency (FSA) nutrient profiling system score of each food and beverage consumed, based on the contents of energy, saturated fatty acid, total sugar, sodium, fruits/vegetables/nuts, dietary fiber, and protein per 100 g. RESULTS Irrespective of the definition of meals and snacks, higher FSA scores (lower nutritional quality) of both meals and snacks were associated with unfavorable profiles of individual components of overall diet, including lower intakes of fruits/vegetables/nuts and higher intakes of biscuits/cakes/pastries, total fat, and saturated fatty acid. The FSA scores of meals and snacks were also inversely associated with overall diet quality assessed by the healthy diet indicator (regression coefficient (β) = -0.22 to -0.17 and -0.06 to -0.03, respectively) and Mediterranean diet score (β = -0.25 to -0.19 and -0.08 to -0.05, respectively) in both sexes (P ≤ 0.005). However, the associations were stronger for meals, mainly due to their larger contribution to total EI (64% to 84%). After adjustment for potential confounders, only the FSA score of snacks based on EI contribution was positively associated with BMI and waist circumference in women (P ≤ 0.005). CONCLUSIONS Although lower nutritional quality of both meals and snacks assessed by the FSA score was associated with adverse profiles of overall diet quality (but not necessarily adiposity measures), stronger associations were observed for nutritional quality of meals.
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Affiliation(s)
- Kentaro Murakami
- Interfaculty Initiative in Information Studies, University of Tokyo, Tokyo, 113 0033, Japan.
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23
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Wehling H, Lusher J. People with a body mass index ⩾30 under-report their dietary intake: A systematic review. J Health Psychol 2017; 24:2042-2059. [PMID: 28810493 DOI: 10.1177/1359105317714318] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Under-reporting of total energy intake is a common and well-known source of measurement error in dietary assessment, and evidence suggests that this bias is particularly significant in obese individuals. After a multi-stage selection process of eligible papers, this literature review appraised 34 papers detailing the accuracy of self-reported dietary intake in people with an obese body mass index (BMI ⩾ 30). The available literature to date shows that having a body mass index ⩾30 is associated with significant under-reporting of food intake. Future research should look into identifying effective techniques to reduce this bias in clinical practice.
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24
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Minobe N, Murakami K, Kobayashi S, Suga H, Sasaki S. Higher dietary glycemic index, but not glycemic load, is associated with a lower prevalence of depressive symptoms in a cross-sectional study of young and middle-aged Japanese women. Eur J Nutr 2017; 57:2261-2273. [DOI: 10.1007/s00394-017-1502-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 06/30/2017] [Indexed: 01/17/2023]
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25
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Kusnadi DTL, Barclay AW, Brand-Miller JC, Louie JCY. Changes in dietary glycemic index and glycemic load in Australian adults from 1995 to 2012. Am J Clin Nutr 2017; 106:189-198. [PMID: 28566308 DOI: 10.3945/ajcn.116.150516] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 04/28/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Australians have used the glycemic index (GI) since 1995; however, there are no data on changes in carbohydrate quality over time.Objectives: The aim was to compare average dietary GI and glycemic load (GL), and contributing carbohydrate foods, in the 2 most recent national dietary surveys.Design: Dietary data from adult participants of national nutrition surveys conducted in 1995 (the 1995 Australian National Nutrition Survey; n = 8703) and 2012 (the 2011-2012 National Nutrition and Physical Activity Survey; n = 6278), collected by a single 24-h recall, were analyzed. The differences in mean dietary GI and GL between surveys were compared by using 1-factor ANOVA. The main sources of dietary GL in the 2 surveys were also assessed. Multiple linear regression was performed to examine the contributions of the food groups to interindividual variations in dietary GI and GL.Results: Overall, dietary GI and GL decreased by 5% and 12%, respectively, from 1995 to 2012 (GI on glucose standard: 56.5 ± 6.2 compared with 53.9 ± 6.8, respectively; GL: 153.3 ± 62.1 compared with 135.4 ± 58.5, respectively; both P < 0.001). Breads were the main contributor to GL at both time points. Potatoes and sweetened beverages contributed less, whereas cereal-based dishes contributed more in 2012 than in 1995. The top 20 GL-contributing food groups explained less interindividual variation in dietary GI (R2: 0.376 compared with 0.290) and GL (R2: 0.825 compared with 0.770) in 2012 than in 1995.Conclusion: Although the average dietary GI and GL declined between 1995 and 2012, trends in specific carbohydrate foods suggest that Australians are avoiding potatoes and sugary beverages in favor of a greater variety of carbohydrate foods, particularly cereal products.
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Affiliation(s)
- Devina Tri Lestrai Kusnadi
- Charles Perkins Centre and School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alan W Barclay
- Private Practice, Sydney, New South Wales, Australia; and
| | - Jennie C Brand-Miller
- Charles Perkins Centre and School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jimmy Chun Yu Louie
- Charles Perkins Centre and School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camperdown, New South Wales, Australia; .,School of Biological Sciences, Faculty of Science, The University of Hong Kong, Pok Fu Lam, Hong Kong
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26
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Gibson R, Eriksen R, Lamb K, McMeel Y, Vergnaud AC, Spear J, Aresu M, Chan Q, Elliott P, Frost G. Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (The Airwave Health Monitoring Study). BMJ Open 2017; 7:e012927. [PMID: 28377391 PMCID: PMC5388011 DOI: 10.1136/bmjopen-2016-012927] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 11/02/2016] [Accepted: 12/23/2016] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES Dietary intake is a key aspect of occupational health. To capture the characteristics of dietary behaviour that is affected by occupational environment that may affect disease risk, a collection of prospective multiday dietary records is required. The aims of this paper are to: (1) collect multiday dietary data in the Airwave Health Monitoring Study, (2) describe the dietary coding procedures applied and (3) investigate the plausibility of dietary reporting in this occupational cohort. DESIGN A dietary coding protocol for this large-scale study was developed to minimise coding error rate. Participants (n 4412) who completed 7-day food records were included for cross-sectional analyses. Energy intake (EI) misreporting was estimated using the Goldberg method. Multivariate logistic regression models were applied to determine participant characteristics associated with EI misreporting. SETTING British police force employees enrolled (2007-2012) into the Airwave Health Monitoring Study. RESULTS The mean code error rate per food diary was 3.7% (SD 3.2%). The strongest predictors of EI under-reporting were body mass index (BMI) and physical activity. Compared with participants with BMI<25 kg/m2, those with BMI>30 kg/m2 had increased odds of being classified as under-reporting EI (men OR 5.20 95% CI 3.92 to 6.89; women OR 2.66 95% CI 1.85 to 3.83). Men and women in the highest physical activity category compared with the lowest were also more likely to be classified as under-reporting (men OR 3.33 95% CI 2.46 to 4.50; women OR 4.34 95% CI 2.91 to 6.55). CONCLUSIONS A reproducible dietary record coding procedure has been developed to minimise coding error in complex 7-day diet diaries. The prevalence of EI under-reporting is comparable with existing national UK cohorts and, in agreement with previous studies, classification of under-reporting was biased towards specific subgroups of participants.
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Affiliation(s)
- Rachel Gibson
- Nutrition and Dietetic Research Group, Faculty of Medicine, Imperial College, London, UK
| | - Rebeca Eriksen
- Nutrition and Dietetic Research Group, Faculty of Medicine, Imperial College, London, UK
| | - Kathryn Lamb
- Nutrition and Dietetic Research Group, Faculty of Medicine, Imperial College, London, UK
| | - Yvonne McMeel
- Nutrition and Dietetic Research Group, Faculty of Medicine, Imperial College, London, UK
| | - Anne-Claire Vergnaud
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Jeanette Spear
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Maria Aresu
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Gary Frost
- Nutrition and Dietetic Research Group, Faculty of Medicine, Imperial College, London, UK
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27
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Louie JCY, Jones M, Barclay AW, Brand-Miller JC. Dietary glycaemic index and glycaemic load among Australian adults - results from the 2011-2012 Australian Health Survey. Sci Rep 2017; 7:43882. [PMID: 28262812 PMCID: PMC5338341 DOI: 10.1038/srep43882] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 01/30/2017] [Indexed: 11/09/2022] Open
Abstract
This study aimed to determine the major food groups contributing to dietary glycaemic load (GL). Plausible food intake data collected using a multiple-pass 24 hour recall from a weighted sample of 6326 adult respondents (52% male) of the 2011-2012 Australian Health Survey dataset (AHS) were analysed. The GI of foods was estimated based on a previously published step-wise method. Descriptive statistics were calculated for dietary glycaemic index (GI), GL and contribution to GL by major food groups, stratified by age and sex. Trends across age groups were assessed using linear regression. Pearson's χ2 was used to test for differences between age groups for categorical demographics variables. The mean (SD) dietary GI and GL was 54 (7) and 135 (59) respectively and the top 3 contributors to dietary GL were breads (14.4%), cereal-based dishes (10.3%) and breakfast cereals (ready to eat) (6.6%). There were small but significant differences in the GL contribution pattern between the sexes. The findings indicate that the average dietary GI of Australian adults is similar to that of other population groups, with a large proportion of starchy and energy-dense nutrient-poor foods that contribute to a high GL.
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Affiliation(s)
- Jimmy Chun Yu Louie
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney NSW 2006, Australia.,Charles Perkins Centre, The University of Sydney NSW 2006, Australia.,School of Biological Sciences, Faculty of Science, The University of Hong Kong, Pokfulam, Hong Kong
| | - Molly Jones
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney NSW 2006, Australia
| | - Alan W Barclay
- Charles Perkins Centre, The University of Sydney NSW 2006, Australia.,Accredited Practising Dietitian, Sydney, Australia
| | - Jennie C Brand-Miller
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney NSW 2006, Australia.,Charles Perkins Centre, The University of Sydney NSW 2006, Australia.,Accredited Practising Dietitian, Sydney, Australia
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28
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Carroll HA, Betts JA, Johnson L. An investigation into the relationship between plain water intake and glycated Hb (HbA1c): a sex-stratified, cross-sectional analysis of the UK National Diet and Nutrition Survey (2008-2012). Br J Nutr 2016; 116:1-11. [PMID: 27831459 PMCID: PMC5197923 DOI: 10.1017/s0007114516003688] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 08/29/2016] [Accepted: 09/23/2016] [Indexed: 12/18/2022]
Abstract
The aim of this study was to analyse the association between plain water intake and glycated Hb (HbA1c) in the National Diet and Nutrition Survey (2008-2012) rolling survey. These data included diet (4-d diaries) and HbA1c (fasted blood sample) measures of 456 men and 579 women aged 44 (sd 18) years with full information on covariates of interest (age, ethnicity, BMI, smoking status, education, other beverage intake, energy intake and fibre). Data were analysed using sex-stratified linear and logistic regressions modelling the associations of cups per d (240 ml) of plain water with HbA1c, and odds of HbA1c≥5·5 %, respectively. Substitution analyses modelled the replacement of sugar-sweetened beverages, fruit juice and artificially sweetened beverages with plain water. After adjustment, 1 cup/d of plain water was associated with a -0·04 % lower HbA1c (95 % CI -0·07, -0·02) in men. In logistic regression, men had a 22 % (95 % CI 10, 32 %) reduced odds of HbA1c≥5·5 %/cup per d of plain water. There was no evidence of an association with either HbA1c or odds of HbA1c≥5·5 % in women. None of the substitution models was associated with a change in odds of HbA1c≥5·5 %. Plain water intake was associated with lower HbA1c in men but not in women. Substituting water for specific beverages was not associated with a reduced odds of HbA1c≥5·5 %, suggesting that the addition of water is the more pertinent factor. Future trials should test whether the relationships between water intake and HbA1c is causal as this could be a cost-effective and simple health intervention.
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Affiliation(s)
- Harriet A. Carroll
- Department for Health, University of Bath,
Claverton Down, BathBA2 7AY, UK
| | - James A. Betts
- Department for Health, University of Bath,
Claverton Down, BathBA2 7AY, UK
| | - Laura Johnson
- School for Policy Studies, University of
Bristol, 8 Priory Road, BristolBS8 1TZ, UK
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29
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A Japanese diet with low glycaemic index and glycaemic load is associated with both favourable and unfavourable aspects of dietary intake patterns in three generations of women. Public Health Nutr 2016; 20:649-659. [DOI: 10.1017/s1368980016002810] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
AbstractObjectiveWestern studies have suggested cultural differences in food and nutrient intake patterns associated with dietary glycaemic index (GI) and glycaemic load (GL). Here, we conducted a cross-sectional study to examine the GI and GL of Japanese diets in relation to food and nutrient intakes.DesignDietary intake was assessed using a validated, self-administered, diet history questionnaire.SettingA total of thirty-five of forty-seven prefectures in Japan.SubjectsYoung (age 18 years), middle-aged (mean age 48 years) and older (mean age 74 years) Japanese women (n 3961, 3800 and 2202, respectively).ResultsIrrespective of age, a positive association with dietary GI was seen for white rice only, which contributed most (37–42 %) to the variation in dietary GI. Conversely, all other food groups (such as fruit and vegetable juice, dairy products, noodles and fruit) were negative predictors of dietary GI. For dietary GL, 95–96 % of variation was explained by carbohydrate-rich food groups, all of which were positive predictors of GL. After adjustment for potential confounding factors, only carbohydrate intake was positively associated with dietary GI and GL, irrespective of age. Conversely, dietary GI and GL were inversely associated with intakes of all other nutrients examined (including SFA and Na).ConclusionsA low-GI and -GL diet, which was characterized principally by a low intake of white rice, was associated with both favourable (higher intakes of dietary fibre and key vitamins and minerals) and unfavourable (higher intakes of SFA and Na) aspects of dietary intake patterns in three generations of Japanese women.
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Energy density of meals and snacks in the British diet in relation to overall diet quality, BMI and waist circumference: findings from the National Diet and Nutrition Survey. Br J Nutr 2016; 116:1479-1489. [PMID: 27751190 DOI: 10.1017/s0007114516003573] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This cross-sectional study examined how energy density (ED) in meals and snacks is associated with overall diet quality, BMI and waist circumference (WC). On the basis of the data from 7-d weighed dietary record, all eating occasions were divided into meals or snacks based on time (meals: 06.00-10.00, 12.00-15.00 and 18.00-21.00 hours; snacks: others) or contribution to energy intake (EI) (meals: ≥15; snacks: <15%) in 1451 British adults aged 19-64 years. Irrespective of the definition of meals and snacks, both meal ED and snack ED (kJ/g; calculated on the basis of solid food only) were inversely associated with overall diet quality assessed by the healthy diet indicator (regression coefficient (β)=-0·29 to -0·21 and -0·07 to -0·04, respectively) and Mediterranean diet score (β=-0·43 to -0·30 and -0·13 to -0·06, respectively) in both sexes (P≤0·002), although the associations were stronger for meal ED. After adjustment for potential confounders, in both men and women, meal ED based on EI contribution showed positive associations with BMI (β=0·34; 95% CI 0·06, 0·62 and β=0·31; 95% CI 0·01, 0·61, respectively) and WC (β=0·96; 95% CI 0·27, 1·66 and β=0·67; 95% CI 0·04, 1·30, respectively). In addition, meal ED based on time was positively associated with WC in men (β=0·59; 95% CI 0·07, 1·10) and snack ED based on time was positively associated with BMI in women (β=0·15; 95% CI 0·04, 0·27). In analyses in which only acceptable EI reporters were included, similar results were obtained. In conclusion, the findings suggest stronger associations of meal ED with overall diet quality, BMI and WC compared with snack ED.
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Scott WR, Zhang W, Loh M, Tan ST, Lehne B, Afzal U, Peralta J, Saxena R, Ralhan S, Wander GS, Bozaoglu K, Sanghera DK, Elliott P, Scott J, Chambers JC, Kooner JS. Investigation of Genetic Variation Underlying Central Obesity amongst South Asians. PLoS One 2016; 11:e0155478. [PMID: 27195708 PMCID: PMC4873263 DOI: 10.1371/journal.pone.0155478] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 04/29/2016] [Indexed: 12/19/2022] Open
Abstract
South Asians are 1/4 of the world's population and have increased susceptibility to central obesity and related cardiometabolic disease. Knowledge of genetic variants affecting risk of central obesity is largely based on genome-wide association studies of common SNPs in Europeans. To evaluate the contribution of DNA sequence variation to the higher levels of central obesity (defined as waist hip ratio adjusted for body mass index, WHR) among South Asians compared to Europeans we carried out: i) a genome-wide association analysis of >6M genetic variants in 10,318 South Asians with focused analysis of population-specific SNPs; ii) an exome-wide association analysis of ~250K SNPs in protein-coding regions in 2,637 South Asians; iii) a comparison of risk allele frequencies and effect sizes of 48 known WHR SNPs in 12,240 South Asians compared to Europeans. In genome-wide analyses, we found no novel associations between common genetic variants and WHR in South Asians at P<5x10-8; variants showing equivocal association with WHR (P<1x10-5) did not replicate at P<0.05 in an independent cohort of South Asians (N = 1,922) or in published, predominantly European meta-analysis data. In the targeted analyses of 122,391 population-specific SNPs we also found no associations with WHR in South Asians at P<0.05 after multiple testing correction. Exome-wide analyses showed no new associations between genetic variants and WHR in South Asians, either individually at P<1.5x10-6 or grouped by gene locus at P<2.5x10-6. At known WHR loci, risk allele frequencies were not higher in South Asians compared to Europeans (P = 0.77), while effect sizes were unexpectedly smaller in South Asians than Europeans (P<5.0x10-8). Our findings argue against an important contribution for population-specific or cosmopolitan genetic variants underlying the increased risk of central obesity in South Asians compared to Europeans.
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Affiliation(s)
- William R. Scott
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom
- * E-mail:
| | - Weihua Zhang
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
- Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Marie Loh
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
| | - Sian-Tsung Tan
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom
- Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Benjamin Lehne
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
| | - Uzma Afzal
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
| | - Juan Peralta
- Genomics Computer Centre, South Texas Diabetes and Obesity Institute, University of Texas at the Rio Grande Valley, Brownsville, Texas, United States of America
| | - Richa Saxena
- Broad Institute of Massachusetts Institute of Technology and Harvard, Massachusetts General Hospital, Cambridge, MA, United States of America
| | - Sarju Ralhan
- Hero DMC Heart Institute, Ludhiana, Punjab, India
| | | | - Kiymet Bozaoglu
- Genomics and Systems Biology, Baker IDI Heart and Diabetes Institute, Melbourne, VIC Australia
| | - Dharambir K. Sanghera
- Department of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Paul Elliott
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
- MRC-PHE Centre for Environment and Health, Imperial College London, Norfolk Place, London, United Kingdom
| | - James Scott
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom
- Imperial College Healthcare NHS Trust, Du Cane Road, London, United Kingdom
| | - John C. Chambers
- Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
- Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- MRC-PHE Centre for Environment and Health, Imperial College London, Norfolk Place, London, United Kingdom
| | - Jaspal S. Kooner
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom
- Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, Du Cane Road, London, United Kingdom
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Zhang X, Zhu Y, Cai L, Ma L, Jing J, Guo L, Jin Y, Ma Y, Chen Y. Dietary glycemic index and glycemic load and their relationship to cardiovascular risk factors in Chinese children. Appl Physiol Nutr Metab 2016; 41:391-6. [PMID: 26944225 DOI: 10.1139/apnm-2015-0432] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The purpose of this study was to examine the cross-sectional associations between dietary glycemic index (GI) and glycemic load (GL) and cardiovascular disease (CVD) risk factors in Chinese children. A total of 234 Chinese schoolchildren aged 8-11 years in Guangdong participated in the study. Dietary intake was assessed via a 3-day dietary record. Seven established cardiovascular indicators were analyzed in this study: fasting plasma glucose (FPG), fasting triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure, and diastolic blood pressure. Higher dietary GI was significantly associated with higher TG levels (P = 0.037) and lower HDL-C levels (P = 0.005) after adjusting for age, sex, nutritional intake, physical activity, and body mass index z score. LDL-C was found to differ across tertiles of dietary GL. The middle tertile tended to show the highest level of LDL-C. TC, FPG, and blood pressure were independent of both dietary GI and GL. Our findings suggest that higher dietary GI is differentially associated with some CVD risk factors, including lower HDL-C and higher TG, in school-aged children from south China.
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Affiliation(s)
- Xinyu Zhang
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Yanna Zhu
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Li Cai
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Lu Ma
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Jin Jing
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Li Guo
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Yu Jin
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
| | - Yinghua Ma
- b Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Yajun Chen
- a Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou 510080, Guangdong, China
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Juanola-Falgarona M, Salas-Salvadó J, Buil-Cosiales P, Corella D, Estruch R, Ros E, Fitó M, Recondo J, Gómez-Gracia E, Fiol M, Lapetra J, Lamuela-Raventós RM, Serra-Majem L, Pintó X, Muñoz MA, Ruiz-Gutiérrez V, Alfredo Martínez J, Castro-Quezada I, Bulló M. Dietary Glycemic Index and Glycemic Load Are Positively Associated with Risk of Developing Metabolic Syndrome in Middle-Aged and Elderly Adults. J Am Geriatr Soc 2016; 63:1991-2000. [PMID: 26480969 DOI: 10.1111/jgs.13668] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To evaluate how glycemic index (GI) and glycemic load (GL) are associated with the metabolic syndrome (MetS) and its features in middle-aged and elderly adults at high cardiovascular risk. DESIGN Prospective, longitudinal, population-based cohort. SETTING PREvención con DIeta MEDiterránea study. PARTICIPANTS Men and women (N = 6,606) divided into three age groups (<65, 65-74, ≥75). MEASUREMENTS Energy and nutrient intake was evaluated using a validated 137-item food frequency questionnaire. MetS and its features were defined in accordance with the criteria of the American Heart Association and National Heart, Lung, and Blood Institute. RESULTS A positive association was observed between GI and MetS prevalence in the youngest and middle age groups for participants without diabetes mellitus, but no relationship was found for those with diabetes mellitus. During the median follow-up of 4.8 years, higher GI and GL were related to greater risk of MetS in the middle age group, independent of the presence of diabetes mellitus. Changes in dietary GI were associated with risk of developing the high fasting glucose component of the MetS in the oldest age category, and changes in dietary GL were associated with risk of developing abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol, and high blood pressure in the youngest age category. CONCLUSION Dietary GI and GL have a potential role in the development of MetS and associated clinical features, with particular age-dependent considerations.
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Affiliation(s)
- Martí Juanola-Falgarona
- Human Nutrition Unit, Hospital Universitari de Sant Joan de Reus, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Hospital Universitari de Sant Joan de Reus, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Primary Health Care, Servicio Navarro de Salud, Health Care Centre of Azpilagaña, Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomediques August Pi Sunyer, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomediques August Pi Sunyer, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Cardiovascular Risk and Nutrition Research Group (Regicor Study Group), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Javier Recondo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Cardiology, University Hospital Txagorritxu, Vitoria, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Malaga, Malaga, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Institute of Health Sciences, University of the Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Family Medicine, Primary Care Division of Sevilla, San Pablo Health Center, Sevilla, Spain
| | - Rosa M Lamuela-Raventós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Nutrition and Food Safety Research Institute, University of Barcelona, Barcelona, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel A Muñoz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Primary Health Care Division and Research, Institut d'Investigacions Biomediques August Pi Sunyer, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Valentina Ruiz-Gutiérrez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Instituto de la Grasa, Consejo Superior de Investigaciones Cientificas, Sevilla, Spain
| | - José Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Nutrition and Food Sciences, Physiology and Toxicology, University of Navarra, Pamplona, Spain
| | - Itandehui Castro-Quezada
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain.,Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Mònica Bulló
- Human Nutrition Unit, Hospital Universitari de Sant Joan de Reus, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
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Associations between energy density of meals and snacks and overall diet quality in British adults. Proc Nutr Soc 2016. [DOI: 10.1017/s0029665116002378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Associations between meal and snack frequency and diet quality and adiposity measures in British adults: findings from the National Diet and Nutrition Survey. Public Health Nutr 2015; 19:1624-34. [DOI: 10.1017/s1368980015002979] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractObjectiveTo examine how different definitions of meals and snacks can affect the associations of meal frequency (MF) and snack frequency (SF) with dietary intake and adiposity measures.DesignBased on 7 d weighed dietary record data, all eating occasions providing ≥210 kJ of energy were divided into meals or snacks based on contribution to energy intake (≥15 % or <15 %) or time (06.00–10.00, 12.00–15.00 and 18.00–21.00 hours; other). Diet quality was assessed using the Healthy Diet Indicator (HDI) and Mediterranean Diet Score (MDS).SettingGreat Britain.SubjectsBritish adults aged 19–64 years (n 1487).ResultsMF based on energy contribution was associated with higher intake of dietary fibre, lower intakes of non-milk extrinsic sugars and alcohol, and higher HDI (only men) and MDS. MF based on time was associated with higher HDI and MDS in women only. Conversely, irrespective of the definition of snacks, SF was associated with higher intakes of confectionery and alcohol, lower intakes of cereals, protein, fat and dietary fibre, and lower HDI (except for SF based on energy contribution in women) and MDS. After adjustment for potential confounders, MF based on time, but not MF based on energy contribution, was positively associated with BMI and waist circumference in men only. SF was positively associated with BMI and waist circumference, irrespective of the definition of snacks.ConclusionsHigher SF was consistently associated with lower diet quality and higher adiposity measures, while associations with MF varied depending on the definition of meals and sex.
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Augustin LSA, Kendall CWC, Jenkins DJA, Willett WC, Astrup A, Barclay AW, Björck I, Brand-Miller JC, Brighenti F, Buyken AE, Ceriello A, La Vecchia C, Livesey G, Liu S, Riccardi G, Rizkalla SW, Sievenpiper JL, Trichopoulou A, Wolever TMS, Baer-Sinnott S, Poli A. Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Nutr Metab Cardiovasc Dis 2015; 25:795-815. [PMID: 26160327 DOI: 10.1016/j.numecd.2015.05.005] [Citation(s) in RCA: 387] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Revised: 05/08/2015] [Accepted: 05/08/2015] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS The positive and negative health effects of dietary carbohydrates are of interest to both researchers and consumers. METHODS International experts on carbohydrate research held a scientific summit in Stresa, Italy, in June 2013 to discuss controversies surrounding the utility of the glycemic index (GI), glycemic load (GL) and glycemic response (GR). RESULTS The outcome was a scientific consensus statement which recognized the importance of postprandial glycemia in overall health, and the GI as a valid and reproducible method of classifying carbohydrate foods for this purpose. There was consensus that diets low in GI and GL were relevant to the prevention and management of diabetes and coronary heart disease, and probably obesity. Moderate to weak associations were observed for selected cancers. The group affirmed that diets low in GI and GL should always be considered in the context of diets otherwise understood as healthy, complementing additional ways of characterizing carbohydrate foods, such as fiber and whole grain content. Diets of low GI and GL were considered particularly important in individuals with insulin resistance. CONCLUSIONS Given the high prevalence of diabetes and pre-diabetes worldwide and the consistency of the scientific evidence reviewed, the expert panel confirmed an urgent need to communicate information on GI and GL to the general public and health professionals, through channels such as national dietary guidelines, food composition tables and food labels.
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Affiliation(s)
- L S A Augustin
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada.
| | - C W C Kendall
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada; University of Saskatchewan, Saskatoon, Canada
| | - D J A Jenkins
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada
| | - W C Willett
- Department of Nutrition, Harvard School of Public Health, Boston, USA
| | - A Astrup
- Department of Nutrition, Exercise and Sports (NEXS), Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - A W Barclay
- Glycemic Index Foundation, Sydney, Australia
| | - I Björck
- Food for Health Science Centre, Lund University, Lund, Sweden
| | - J C Brand-Miller
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
| | - F Brighenti
- Department of Food Sciences, University of Parma, Parma, Italy
| | - A E Buyken
- Department of Nutritional Epidemiology, University of Bonn, Bonn, Germany
| | - A Ceriello
- Institut d' Investigación Biomédiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Barcelona, Spain
| | - C La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - G Livesey
- Independent Nutrition Logic, Wymondham, UK
| | - S Liu
- Department of Epidemiology and Medicine, Brown University, Providence, USA
| | - G Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - S W Rizkalla
- Institute Cardiometabolism and Nutrition (ICAN), University Pierre et Marie Curie, Pitié Salpêtrière Hospital, Paris, France; National Institute of Health and Medical Research (INSERM), University Pierre et Marie Curie and Pitié Salpêtrière Hospital, Paris, France
| | - J L Sievenpiper
- Department of Nutritional Science, University of Toronto, Toronto, Canada
| | - A Trichopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - T M S Wolever
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada
| | | | - A Poli
- Nutrition Foundation of Italy, Milan, Italy
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Abstract
Using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2012, we investigated the prevalence and characteristics of under-reporting and over-reporting of energy intake (EI) among 19 693 US adults ≥20 years of age. For the assessment of EI, two 24-h dietary recalls were conducted using the US Department of Agriculture Automated Multiple-Pass Method. Under-reporters, acceptable reporters and over-reporters of EI were identified by two methods based on the 95 % confidence limits: (1) for agreement between the ratio of EI to BMR and a physical activity level for sedentary lifestyle (1·55) and (2) of the expected ratio of EI to estimated energy requirement (EER) of 1·0. BMR was calculated using Schofield's equations. EER was calculated using equations from the US Dietary Reference Intakes, assuming 'low active' level of physical activity. The risk of being an under-reporter or over-reporter compared with an acceptable reporter was analysed using multiple logistic regression. Percentages of under-reporters, acceptable reporters and over-reporters were 25·1, 73·5 and 1·4 %, respectively, based on EI:BMR, and 25·7, 71·8 and 2·5 %, respectively, based on EI:EER. Under-reporting was associated with female sex, older age, non-Hispanic blacks (compared with non-Hispanic whites), lower education, lower family poverty income ratio and overweight and obesity. Over-reporting was associated with male sex, younger age, lower family poverty income ratio, current smoking (compared with never smoking) and underweight. Similar findings were obtained when analysing only the first 24-h recall data from NHANES 1999-2012 (n 28 794). In conclusion, we found that misreporting of EI, particularly under-reporting, remains prevalent and differential in US adults.
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de la Fuente-Arrillaga C, Martinez-Gonzalez MA, Zazpe I, Vazquez-Ruiz Z, Benito-Corchon S, Bes-Rastrollo M. Glycemic load, glycemic index, bread and incidence of overweight/obesity in a Mediterranean cohort: the SUN project. BMC Public Health 2014; 14:1091. [PMID: 25335643 PMCID: PMC4213465 DOI: 10.1186/1471-2458-14-1091] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Accepted: 10/13/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To evaluate prospectively the relationship between white, or whole grain bread, and glycemic index, or glycemic load from diet and weight change in a Mediterranean cohort. METHODS We followed-up 9 267 Spanish university graduates for a mean period of 5 years. Dietary habits at baseline were assessed using a semi-quantitative 136-item food-frequency questionnaire. Average yearly weight change was evaluated according to quintiles of baseline glycemic index, glycemic load, and categories of bread consumption. We also assessed the association between bread consumption, glycemic index, or glycemic load, and the incidence of overweight/obesity. RESULTS White bread and whole-grain bread were not associated with higher weight gain. No association between glycemic index, glycemic load and weight change was found.White bread consumption was directly associated with a higher risk of becoming overweight/obese (adjusted OR (≥2 portions/day) versus (≤1 portion/week): 1.40; 95% CI: 1.08-1.81; p for trend: 0.008). However, no statistically significant association was observed between whole-grain bread, glycemic index or glycemic load and overweight/obesity. CONCLUSIONS Consumption of white bread (≥2 portions/day) showed a significant direct association with the risk of becoming overweight/obese.
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Affiliation(s)
| | | | | | | | | | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Irunlarrea 1, 31080 Pamplona, Navarra, Spain.
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D'Alessandro A, De Pergola G. Mediterranean diet pyramid: a proposal for Italian people. Nutrients 2014; 6:4302-16. [PMID: 25325250 PMCID: PMC4210917 DOI: 10.3390/nu6104302] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2014] [Revised: 08/28/2014] [Accepted: 09/19/2014] [Indexed: 12/25/2022] Open
Abstract
Bread was a staple in the traditional Mediterranean diet of the early 1960s, as well as nowadays; however, it was a stone ground sourdough bread in Nicotera and probably in the Greek cohorts of the Seven Countries Study. In the present review, the nutritional characteristics of this food are analyzed in relation to its protective effects on coronary heart disease, metabolic diseases and cancer. According to our traditions, cultural heritage and scientific evidence, we propose that only cereal foods with low glycemic index (GI) and rich in fiber have to be placed at the base of the Mediterranean diet pyramid, whereas refined grains and high GI starchy foods have to be sited at the top.
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Affiliation(s)
- Annunziata D'Alessandro
- Endocrinologist, General Practitioner. General Medicine ASL BA/4 D.S.S. 8, viale Japigia 38/G, Bari 70126, Italy.
| | - Giovanni De Pergola
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine and Oncology, University of Bari "Aldo Moro", School of Medicine, Policlinico, Piazza Giulio Cesare 11, Bari 70124, Italy.
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The role of glycemic index and glycemic load in cardiovascular disease and its risk factors: a review of the recent literature. Curr Atheroscler Rep 2014; 16:381. [PMID: 24271882 DOI: 10.1007/s11883-013-0381-1] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
A number of meta-analyses of cohort studies have assessed the impact of glycemic load (GL) and glycemic index (GI) on cardiovascular outcomes. The picture that emerges is that for women, a significant association appears to exist between the consumption of high GL/GI diets and increased cardiovascular disease (CVD) risk. This association appears to be stronger in those with greater adiposity and possibly in those with diabetes, although these findings are not uniform. There is also an indication that raised CRP levels may be reduced, which has special implications for women whose CRP levels, as an emerging CVD risk factor, may be higher than men. For men, the situation is not as clear-cut. Although some studies show association, the meta-analyses have not demonstrated a significant direct association with CVD, despite current evidence that risk factors, including LDL-C, may be reduced on low-GI diets. Moreover, in a recent meta-analysis, increases in dietary GL have been associated with increased risk of diabetes, another CVD risk factor, in both men and women. Studies in men expressing relative risk of CVD in relation to GL and GI, with corresponding confidence intervals, are needed to provide the necessary power for future meta-analyses on this topic.
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Murakami K, Livingstone MBE. Eating frequency in relation to body mass index and waist circumference in British adults. Int J Obes (Lond) 2014; 38:1200-6. [PMID: 24406480 DOI: 10.1038/ijo.2014.1] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Revised: 12/09/2013] [Accepted: 01/01/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND Inconsistent associations between eating frequency (EF) and adiposity may be mainly due to measurement errors of EF. OBJECTIVE This cross-sectional study examined the association of EF with body mass index (BMI) and waist circumference (WC), by focusing on the confounding of energy misreporting and the effect of exclusion of underreporters (URs). DESIGN Dietary intake was assessed using a 7-day weighed dietary record in 1487 British adults aged 19-64 years. EF was calculated based on all eating occasions (EF(all)), after excluding those providing no energy (EF(energy)), and after excluding those providing <210 kJ of energy (EF(⩾210 kJ)). Energy misreporting was assessed as reported energy intake divided by estimated energy requirement (EI:EER). RESULTS The mean values (1st and 99th percentiles) of EF(all), EF(energy) and EF(⩾210 kJ) were, respectively, 7.8 (3.1, 15.3), 7.2 (2.9, 12.7), and 5.6 (2.3, 10.7) times/day in men and 7.6 (3.0, 13.9), 6.7 (2.7, 12.1), and 4.8 (1.9, 9.1) times/day in women. In the univariate analyses of the entire male population, EF(⩾210 kJ), but not EF(all) and EF(energy), was inversely associated with BMI and WC. After full adjustment (including EI:EER), all three measures of EF were positively associated with BMI and WC. In the univariate analyses of the entire female population, all three measures of EF were inversely associated with BMI and WC. After full adjustment, EF(⩾210 kJ) was positively associated with BMI and WC while EF(all) and EF(energy) showed null associations. When URs (EI:EER <0.665) were excluded, the multivariate analyses showed that EF(all) and EF(energy) were positively associated with BMI in men while EF(⩾210 kJ) was positively associated with BMI and WC in both sexes. CONCLUSIONS We showed positive associations of EF with BMI and WC. Adjustment for EI:EER and the exclusion of URs, as well as definitions of EF, radically affected the results of the analysis.
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Affiliation(s)
- K Murakami
- 1] Northern Ireland Centre for Food and Health (NICHE), University of Ulster, Coleraine, UK [2] JSPS Postdoctoral Fellow for Research Abroad, Japan Society for the Promotion of Science, Tokyo, Japan
| | - M B E Livingstone
- Northern Ireland Centre for Food and Health (NICHE), University of Ulster, Coleraine, UK
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Murray AE, McMorrow AM, O'Connor E, Kiely C, Mac Ananey O, O'Shea D, Egaña M, Lithander FE. Dietary quality in a sample of adults with type 2 diabetes mellitus in Ireland; a cross-sectional case control study. Nutr J 2013; 12:110. [PMID: 23915093 PMCID: PMC3750542 DOI: 10.1186/1475-2891-12-110] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Accepted: 07/26/2013] [Indexed: 01/04/2023] Open
Abstract
Background A number of dietary quality indices (DQIs) have been developed to assess the quality of dietary intake. Analysis of the intake of individual nutrients does not reflect the complexity of dietary behaviours and their association with health and disease. The aim of this study was to determine the dietary quality of individuals with type 2 diabetes mellitus (T2DM) using a variety of validated DQIs. Methods In this cross-sectional analysis of 111 Caucasian adults, 65 cases with T2DM were recruited from the Diabetes Day Care Services of St. Columcille’s and St. Vincent’s Hospitals, Dublin, Ireland. Forty-six controls did not have T2DM and were recruited from the general population. Data from 3-day estimated diet diaries were used to calculate 4 DQIs. Results Participants with T2DM had a significantly lower score for consumption of a Mediterranean dietary pattern compared to the control group, measured using the Mediterranean Diet Score (Range 0–9) and the Alternate Mediterranean Diet Score (Range 0–9) (mean ± SD) (3.4 ± 1.3 vs 4.8 ± 1.8, P < 0.001 and 3.3 ± 1.5 vs 4.2 ± 1.8, P = 0.02 respectively). Participants with T2DM also had lower dietary quality than the control population as assessed by the Healthy Diet Indicator (Range 0–9) (T2DM; 2.6 ± 2.3, control; 3.3 ± 1.1, P = 0.001). No differences between the two groups were found when dietary quality was assessed using the Alternate Healthy Eating Index. Micronutrient intake was assessed using the Micronutrient Adequacy Score (Range 0–8) and participants with T2DM had a significantly lower score than the control group (T2DM; 1.6 ± 1.4, control; 2.3 ± 1.4, P = 0.009). When individual nutrient intakes were assessed, no significant differences were observed in macronutrient intake. Conclusion Overall, these findings demonstrate that T2DM was associated with a lower score when dietary quality was assessed using a number of validated indices.
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Affiliation(s)
- Alison E Murray
- Department of Clinical Medicine, Trinity College Dublin, Trinity Centre for Health Sciences, St James's Hospital, Dublin 8, Ireland
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