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Mourouti N, Mavrogianni C, Mouratidou T, Liatis S, Valve P, Rurik I, Torzsa P, Cardon G, Bazdarska Y, Iotova V, Moreno LA, Makrilakis K, Manios Y. The Association of Lifestyle Patterns with Prediabetes in Adults from Families at High Risk for Type 2 Diabetes in Europe: The Feel4Diabetes Study. Nutrients 2023; 15:3155. [PMID: 37513573 PMCID: PMC10386359 DOI: 10.3390/nu15143155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
The increasing prevalence of prediabetes globally does not bode well for the growing epidemic of type 2 diabetes (T2D) and its complications. Yet there is a lack of studies regarding lifestyle patterns (LPs) and their association with prediabetes. The present study aimed to examine the association of different LPs with the existence of prediabetes in adults from families at high risk for T2D in Europe. In total, 2759 adults (66.3% females) from six European countries were included in this cross-sectional analysis using data from the baseline assessment of the Feel4Diabetes study. Anthropometric, sociodemographic, dietary and behavioral data were assessed, and fasting blood glucose measurements were also obtained. LPs were derived via principal component analysis. Two LPs were derived, explaining 32% of the total variation. LP 1 was characterized by breakfast consumption, high consumption of fruits and berries, vegetables and nuts and seeds, and low consumption of salty snacks and soft drinks with sugar, while LP 2 was characterized by high consumption of salty and sweet snacks, soft drinks with sugar and juice with sugar and sedentary behavior. After adjusting for various confounders, LP 2 was positively associated with the existence of prediabetes (odds ratio = 1.02, 95% CI 1.01-1.04), while LP 1 was not significantly associated with prediabetes. Understanding LPs would provide necessary evidence for planning intervention and education strategies for prediabetes and T2D.
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Affiliation(s)
- Niki Mourouti
- Department of Nutrition and Dietetics, Hellenic Mediterranean University, 72300 Sitia, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre (Agro-Health), 71410 Heraklion, Greece
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece
| | - Christina Mavrogianni
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece
| | - Theodora Mouratidou
- Department of Nutrition and Dietetics, Hellenic Mediterranean University, 72300 Sitia, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre (Agro-Health), 71410 Heraklion, Greece
| | - Stavros Liatis
- First Department of Propaedeutic Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Päivi Valve
- Department of Public Health and Welfare, Finnish Institute of Health and Welfare, FI-00271 Helsinki, Finland
| | - Imre Rurik
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary
| | - Péter Torzsa
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary
| | - Greet Cardon
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Yulia Bazdarska
- Department of Pediatrics, Medical University Varna, 9002 Varna, Bulgaria
| | - Violeta Iotova
- Department of Pediatrics, Medical University Varna, 9002 Varna, Bulgaria
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, 50009 Zaragoza, Spain
| | - Konstantinos Makrilakis
- First Department of Propaedeutic Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Yannis Manios
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre (Agro-Health), 71410 Heraklion, Greece
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece
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Hashemi SJ, Karandish M, Cheraghian B, Azhdari M. Prevalence of prediabetes and associated factors in southwest iran: results from Hoveyzeh cohort study. BMC Endocr Disord 2022; 22:72. [PMID: 35305637 PMCID: PMC8933994 DOI: 10.1186/s12902-022-00990-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/15/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Increasing trend of prediabetes and diabetes is a global public health issue. On the other hand, prediabetes can increase the risk of developing some non-communicable diseases, including type 2 diabetes, cardiovascular disease, hypertension, fatty liver disease, etc. Given that there are modifiable various risk factors for prediabetes, this cross-sectional study aimed to evaluate the prevalence of prediabetes and its risk factors among adults. METHODS The present study included the baseline data from the Prospective Epidemiological Research Studies of the Iranian Adult and Neonates (PERSIAN), Hoveyzeh Cohort Study (N = 10,009). The demographic data, lifestyle habits, anthropometric data, and clinical and biochemical parameters were gathered. The odds ratio of prediabetes was assessed by logistic regression. RESULTS The final analysis was conducted on 7629 participants. The prevalence of overweight (36.7%), obesity (37.5%), prediabetes (30.29%), abnormal high density lipoprotein (35.4%), cholesterol (33.8%) and triglyceride (39.7%), and HTN (21.3%) were common. In the adjusted analysis, there were higher odds of having prediabetes for overweight (OR = 1.9, 95% CI: (1.19, 3.03), p = 0.007), obesity (OR = 3.18, 95% CI: (1.99, 5.07), p < 0.001), waist circumstance (WC) (OR = 1.024, 95% CI: (1.002, 1.03), p < 0.001), hip circumstance (HC) (OR = 1.01, 95% CI: (1.003, 1.02), p = 0.008), older age (OR = 1.04, 95% CI: (1.04, 1.05), p < 0.001), hypertension (OR = 1.38, 95% CI: (1.21, 1.57), p < 0.001),), glutamic-pyruvic transaminase (OR = 1.013, 95% CI: (1.007, 1.019), p = 0.001), glutamic-oxaloacetic transaminase (OR = 1.01, 95% CI: (1.006, 1.013), p < 0.001), triglyceride = 150-199 mg/dl (OR = 1.32, 95% CI: (1.16, 1.51), p < 0.001), triglyceride ≥ 200 mg/dl (OR = 1.64 (95% CI: 1.44, 1.86), p < 0.001), cholesterol = 200- 239 mg/dl (OR = 1.33, 95% CI: (1.18, 1.49), p < 0.001), and cholesterol ≥ 240 mg/dl (OR = 2.04, 95% CI: (1.72, 2.42), p < 0.001) in general population. CONCLUSION The prevalence of prediabetes, overweight, obesity, HTN, and dyslipidemia was common. The greater chances of prediabetes were related to aging, overweight, obesity, HTN, higher liver enzymes, HC, abnormal WC, and dyslipidemia. It seems that practical interventions are necessary to prevent prediabetes.
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Affiliation(s)
- Seyed Jalal Hashemi
- School of Medicine, Alimentary Tract Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Majid Karandish
- Nutrition and Metabolic Diseases Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahman Cheraghian
- Department of Biostatistics and Epidemiology, School of Public Health, Alimentary Tract Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Azhdari
- Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
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Wang YY, Zhang JX, Tian T, Gao MY, Zhu QR, Xie W, Fu LM, Wang SK, Dai Y. Dietary patterns in association with the risk of elevated blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province of China. Nutr Metab Cardiovasc Dis 2022; 32:69-79. [PMID: 34920942 DOI: 10.1016/j.numecd.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 07/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIMS This study aimed to identify unique dietary patterns, and to examine the correlation of dietary patterns with elevated blood pressure, lipid profile and fasting plasma glucose (FPG) among adults in Jiangsu Province of China. METHODS AND RESULTS 4951 individuals were selected in this cross-sectional study from nutrition and health survey in Jiangsu Province in 2014. Factor analysis was used to identify the dietary patterns. Higher quartile of the cereals-seafood-dairy dietary pattern was inversely associated with high low-density lipoprotein cholesterol (LDL) (composed to Q1, OR = 0.834, 95% CI: 0.700∼0.993, P < 0.05) and FPG (composed to Q1, OR = 0.725, 95% CI: 0.609-0.862, P < 0.05), while higher quartile of the traditional Jiangsu dietary pattern was positively associated with low high-density lipoprotein cholesterol (HDL) (composed to Q1, OR = 1.395, 95% CI: 1.067∼1.825, P < 0.05) and high systolic blood pressure (SBP) (composed to Q1, OR = 1.238, 95% CI: 1.020∼1.503, P < 0.05). Higher scores of the refined food-oriented dietary pattern was inversely related to high triglycerides (TG) (composed to Q1, OR = 0.665, 95% CI: 0.551∼0.802, P < 0.05), but was positively related to high TC (composed to Q1, OR = 2.179, 95% CI: 1.817∼2.614), high LDL (composed to Q1, OR = 2.431, 95% CI: 2.037∼2.902, P < 0.05) and elevated FPG (composed to Q1, OR = 1.734, 95% CI: 1.458∼2.061, P < 0.05). CONCLUSION Different structure of dietary patterns do affect the blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province, China.
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Affiliation(s)
- Yuan-Yuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Jing-Xian Zhang
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ting Tian
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Min-Yue Gao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qian-Rang Zhu
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Wei Xie
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ling-Meng Fu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shao-Kang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.
| | - Yue Dai
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China; Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
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Sharifan P, Yaghooti-Khorasani M, Asadi Z, Darroudi S, Rezaie M, Safarian M, Vatanparast H, Eslami S, Tayefi M, Pourrahim E, Mahmoudi E, Mohammadi-Bajgiran M, Khorasanchi Z, Ghazizadeh H, Bagherniya M, Ferns G, Esmaily H, Ghayour Mobarhan M. Association of dietary patterns with serum vitamin D concentration among Iranian adults with abdominal obesity. CLINICAL NUTRITION OPEN SCIENCE 2021. [DOI: 10.1016/j.nutos.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
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Pestoni G, Riedl A, Breuninger TA, Wawro N, Krieger JP, Meisinger C, Rathmann W, Thorand B, Harris C, Peters A, Rohrmann S, Linseisen J. Association between dietary patterns and prediabetes, undetected diabetes or clinically diagnosed diabetes: results from the KORA FF4 study. Eur J Nutr 2021; 60:2331-2341. [PMID: 33125578 PMCID: PMC8275503 DOI: 10.1007/s00394-020-02416-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 10/13/2020] [Indexed: 11/07/2022]
Abstract
PURPOSE Diet is one of the most important modifiable risk factors for the development of type 2 diabetes. Here, we aim to identify dietary patterns and to investigate their association with prediabetes, undetected diabetes and prevalent diabetes. METHODS The present study included 1305 participants of the cross-sectional population-based KORA FF4 study. Oral glucose tolerance test (OGTT) measurements together with a physician-confirmed diagnosis allowed for an accurate categorization of the participants according to their glucose tolerance status into normal glucose tolerance (n = 698), prediabetes (n = 459), undetected diabetes (n = 49), and prevalent diabetes (n = 99). Dietary patterns were identified through principal component analysis followed by hierarchical clustering. The association between dietary patterns and glucose tolerance status was investigated using multinomial logistic regression models. RESULTS A Prudent pattern, characterized by high consumption of vegetables, fruits, wholegrains and dairy products, and a Western pattern, characterized by high consumption of red and processed meat, alcoholic beverages, refined grains and sugar-sweetened beverages, were identified. Participants following the Western pattern had significantly higher chances of having prediabetes (odds ratio [OR] 1.92; 95% confidence interval [CI] 1.35, 2.73), undetected diabetes (OR 10.12; 95% CI 4.19, 24.43) or prevalent diabetes (OR 3.51; 95% CI 1.85, 6.67), compared to participants following the Prudent pattern. CONCLUSION To our knowledge, the present study is one of the few investigating the association between dietary patterns and prediabetes or undetected diabetes. The use of a reference group exclusively including participants with normal glucose tolerance might explain the strong associations observed in our study. These results suggest a very important role of dietary habits in the prevention of prediabetes and type 2 diabetes.
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Affiliation(s)
- Giulia Pestoni
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Anna Riedl
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Taylor A Breuninger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Nina Wawro
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Jean-Philippe Krieger
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
| | - Barbara Thorand
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Carla Harris
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Jakob Linseisen
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany.
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Falguera M, Castelblanco E, Rojo-López MI, Vilanova MB, Real J, Alcubierre N, Miró N, Molló À, Mata-Cases M, Franch-Nadal J, Granado-Casas M, Mauricio D. Mediterranean Diet and Healthy Eating in Subjects with Prediabetes from the Mollerussa Prospective Observational Cohort Study. Nutrients 2021; 13:252. [PMID: 33467197 PMCID: PMC7830064 DOI: 10.3390/nu13010252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/07/2021] [Accepted: 01/12/2021] [Indexed: 12/11/2022] Open
Abstract
We aimed to assess differences in dietary patterns (i.e., Mediterranean diet and healthy eating indexes) between participants with prediabetes and those with normal glucose tolerance. Secondarily, we analyzed factors related to prediabetes and dietary patterns. This was a cross-sectional study design. From a sample of 594 participants recruited in the Mollerussa study cohort, a total of 535 participants (216 with prediabetes and 319 with normal glucose tolerance) were included. The alternate Mediterranean Diet score (aMED) and the alternate Healthy Eating Index (aHEI) were calculated. Bivariable and multivariable analyses were performed. There was no difference in the mean aMED and aHEI scores between groups (3.2 (1.8) in the normoglycemic group and 3.4 (1.8) in the prediabetes group, p = 0.164 for the aMED and 38.6 (7.3) in the normoglycemic group and 38.7 (6.7) in the prediabetes group, p = 0.877 for the aHEI, respectively). Nevertheless, women had a higher mean of aMED and aHEI scores in the prediabetes group (3.7 (1.9), p = 0.001 and 40.5 (6.9), p < 0.001, respectively); moreover, they had a higher mean of aHEI in the group with normoglycemia (39.8 (6.6); p = 0.001). No differences were observed in daily food intake between both study groups; consistent with this finding, we did not find major differences in nutrient intake between groups. In the multivariable analyses, the aMED and aHEI were not associated with prediabetes (odds ratio (OR): 1.19, 95% confidence interval (CI): 0.75-1.87; p = 0.460 and OR: 1.32, 95% CI: 0.83-2.10; p = 0.246, respectively); however, age (OR: 1.04, 95% CI: 1.02-1.05; p < 0.001), dyslipidemia (OR: 2.02, 95% CI: 1.27-3.22; p = 0.003) and body mass index (BMI) (OR: 1.09, 95% CI: 1.05-1.14; p < 0.001) were positively associated with prediabetes. Physical activity was associated with a lower frequency of prediabetes (OR: 0.48, 95% CI: 0.31-0.72; p = 0.001). In conclusion, subjects with prediabetes did not show a different dietary pattern compared with a normal glucose tolerance group. However, further research is needed on this issue.
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Affiliation(s)
- Mireia Falguera
- Primary Health Care Centre Cervera, Gerència d’Atenció Primaria, Institut Català de la Salut, 25200 Lleida, Spain;
- Department of Medicine, Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRB Lleida, University of Lleida, 25198 Lleida, Spain; (M.B.V.); (N.A.)
| | - Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomédica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (E.C.); (M.I.R.-L.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
| | - Marina Idalia Rojo-López
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomédica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (E.C.); (M.I.R.-L.)
| | - Maria Belén Vilanova
- Department of Medicine, Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRB Lleida, University of Lleida, 25198 Lleida, Spain; (M.B.V.); (N.A.)
- Primary Health Care Centre Igualada Nord, Consorci Sanitari de l’Anoia, Institut Català de la Salut, 08700 Barcelona, Spain
| | - Jordi Real
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Nuria Alcubierre
- Department of Medicine, Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRB Lleida, University of Lleida, 25198 Lleida, Spain; (M.B.V.); (N.A.)
| | - Neus Miró
- Primary Health Care Centre Tàrrega, Gerència d’Atenció Primaria, Institut Català de la Salut, 25300 Lleida, Spain;
| | - Àngels Molló
- Primary Health Care Centre Guissona, Gerència d’Atenció Primaria, Institut Català de la Salut, 25210 Lleida, Spain;
| | - Manel Mata-Cases
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Josep Franch-Nadal
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
- Primary Health Care Centre Raval Sud, Gerència d’Atenció Primaria Barcelona, Institut Català de la Salut, 08001 Barcelona, Spain
| | - Minerva Granado-Casas
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomédica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (E.C.); (M.I.R.-L.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
- Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, 25198 Lleida, Spain
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d’Investigació Biomédica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain; (E.C.); (M.I.R.-L.)
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, 08907 Barcelona, Spain; (J.R.); (M.M.-C.); (J.F.-N.)
- Faculty of Medicine, University of Vic (UVIC/UCC), 08500 Vic, Spain
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7
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Abshirini M, Mahaki B, Bagheri F, Siassi F, Koohdani F, Qorbani M, Yavari P, Sotoudeh G. Dietary Fat Quality and Pre-diabetes: A Case-control Study. Int J Prev Med 2020; 11:160. [PMID: 33312469 PMCID: PMC7716603 DOI: 10.4103/ijpvm.ijpvm_243_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 03/06/2019] [Indexed: 11/13/2022] Open
Abstract
Background: The relationship between dietary fat quality (DFQ) indices and pre-diabetes has not been well studied. This study aimed to determine the association of DFQ indices and fatty acid intake with pre-diabetes. Methods: This case-control study included 150 subjects with normal fasting blood glucose (FBG) and 147 pre-diabetic subjects. Dietary intake was assessed by a validated food-frequency questionnaire. DFQ indices including atherogenicity (AI) and thrombogenicity (TI), the ratios of hypo- and hypercholesterolemic (h:H), polyunsaturated:saturated (P:S) and n-3:n-6 polyunsaturated fatty acids were calculated. FBG test and 2-hour oral glucose tolerance test (OGTT) were measured. Results: After adjustment for some confounding variables, a positive association was found between intake of total saturated fatty acids (SFA), myristic acid, palmitic acid, and pre-diabetes, and a negative association was observed among n-3 polyunsaturated fatty acids, eicosapentaenoic, docosahexaenoic and arachidonic acids intake and pre-diabetes. AI was found to be positively associated with pre-diabetes (OR 6.68, 95% CI 2.57-17.34). An inverse relationship was observed between n-3:n-6 (OR 0.37, 95% CI 0.14-0.93) and h:H (OR 0.20, 95% CI 0.07-0.52) ratios with pre-diabetes. Conclusions: Higher intake of dietary n-3 fatty acids was adversely, whereas SFA intake was positively related to pre-diabetes morbidity. DFQ indices may be a useful measure to investigate fat intakes and blood glucose disturbances.
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Affiliation(s)
- Maryam Abshirini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Behzad Mahaki
- Department of Epidemiology and Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fariba Bagheri
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereydoun Siassi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fariba Koohdani
- Department of Cellular, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.,Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvaneh Yavari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Gity Sotoudeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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8
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Shen XM, Huang YQ, Zhang XY, Tong XQ, Zheng PF, Shu L. Association between dietary patterns and prediabetes risk in a middle-aged Chinese population. Nutr J 2020; 19:77. [PMID: 32731880 PMCID: PMC7393887 DOI: 10.1186/s12937-020-00593-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 07/21/2020] [Indexed: 12/31/2022] Open
Abstract
Background Information regarding dietary patterns associated with prediabetes in the Chinese population is lacking. The objective of the present study was to explore the association between major dietary patterns and the risk of prediabetes in a middle-aged Chinese population. Methods A total of 1761 participants (aged 45 to 59 years) were recruited in Hangzhou city, the capital of Zhejiang Province, China from June 2015 to December 2016. Dietary information was obtained by interview using a 138-item, validated semi-quantitative food frequency questionnaire (SQFFQ). Multivariate logistic regression models were used to analyze the associations between dietary patterns and the risk of prediabetes with adjustment of potential confounding variables. Results Three dietary patterns were ascertained by factor analysis and labeled as traditional southern Chinese, Western, and grains-vegetables patterns. After controlling of the potential confounders, participants in the top quartile of the Western pattern scores had greater odds ratio (OR) for prediabetes (OR = 1.54; 95% confidence interval (CI):1.068–2.059; P = 0.025) than did those in the bottom quartile. Compared with those in the bottom quartile, participants in the top quartile of the grains-vegetables pattern scores had a lower OR for prediabetes (OR = 0.83; 95% CI:0.747–0.965; P = 0.03). Besides, no statistically significant association was observed in the association between the traditional southern Chinese pattern and prediabetes risk (P > 0.05). Conclusions The findings of this study showed that the Western pattern was associated with higher risk, and the grains-vegetables pattern was associated with lower risk of prediabetes. Future prospective studies are required to validate our findings.
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Affiliation(s)
- Xiao-Ming Shen
- Department of Endocrinology, The No.1 People's Hospital of Pinghu, Sangang Road Number 500, Danghu street, Pinghu, 314200, Zhejiang, People's Republic of China
| | - Yi-Qian Huang
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Xiao-Yan Zhang
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Xiao-Qing Tong
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Pei-Fen Zheng
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China.,Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Long Shu
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China.
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9
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Effects of nut and seed consumption on markers of glucose metabolism in adults with prediabetes: a systematic review of randomised controlled trials. Br J Nutr 2020; 122:361-375. [PMID: 31196252 DOI: 10.1017/s0007114519001338] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The primary aim was to investigate the effects of nut and seed consumption on markers of glucose metabolism in adults with prediabetes. Studies with a randomised controlled trial (RCT) design, comparing the effects of a diet containing nuts or seeds against a diet without nuts or seeds in adults with prediabetes, were considered eligible. Primary outcome measures included fasting plasma glucose (FPG), 2-h plasma glucose during oral glucose tolerance test and glycated Hb (HbA1c) concentrations. Studies were identified by searching PubMed and Scopus electronic databases and by checking full texts and reference lists of relevant records. Risk of bias was assessed using the Cochrane Collaboration's tool. We included five RCT involving 371 adults with prediabetes or at risk of diabetes; three RCT investigated the effects of whole nut consumption and two the effects of ground flaxseed consumption. Consumption of 57 g/d pistachios or mean intake of 60 g/d almonds for 4 months improved FPG and fasting plasma insulin (FPI) concentrations, insulin resistance, cellular glucose uptake in lymphocytes and β-cell function. Consumption of 56 g/d walnuts for 6 months was not found to affect FPG or HbA1c concentrations. Consumption of 13 g/d flaxseed for 3 months improved FPG and FPI concentrations and insulin resistance. In a second study, however, flaxseed consumption was not found to affect markers of glucose metabolism. The risk of bias was generally low, thus the reported results could be reliable. Further investigation of nut and seed consumption effects in the field of prediabetes is warranted.
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10
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Bibiloni MDM, Bouzas C, Abbate M, Martínez-González MA, Corella D, Salas-Salvadó J, Zomeño MD, Vioque J, Romaguera D, Martínez JA, Wärnberg J, López-Miranda J, Estruch R, Bueno-Cavanillas A, Alonso-Gómez Á, Tinahones F, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Delgado-Rodríguez M, Matía P, Ros E, Fernández-Carrión R, Garcia-Rios A, Zulet MA, Asensio A, Schröder H, Fitó M, Becerra-Tomás N, Basora J, Cenoz JC, Diez-Espino J, Toledo E, Tur JA. Nutrient adequacy and diet quality in a Mediterranean population with metabolic syndrome: A cross-sectional study. Clin Nutr 2019; 39:853-861. [PMID: 30952534 DOI: 10.1016/j.clnu.2019.03.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Revised: 02/08/2019] [Accepted: 03/14/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND & AIMS Few studies have compared micronutrient intake and fulfilment of average requirements (EAR) in non-diabetic, pre-diabetic and diabetic adults at high cardiovascular risk. We assessed these variables in a large sample of participants in the PREDIMED-PLUS randomized trial of primary cardiovascular prevention with diet and physical activity. DESIGN Baseline assessment of nutritional adequacy in n = 5792 men and women, aged 55-75 years, with overweight/obesity and some metabolic syndrome features. METHODS Participants were categorised as non-diabetic (n = 2390), pre-diabetic (n = 1322) or diabetic (n = 2080) by standard criteria. Food and nutrient intake were assessed using a validated food frequency questionnaire. Micronutrients examined were vitamins B1, B2, B3, B6, B12, A, C, D, E and folic acid; Ca, K, P, Mg, Fe, Se, Cr, Zn, and iodine. The proportion of micronutrient inadequacy was evaluated using the EAR or adequate intake (AI) cut-offs. Diet quality was also determined using a 17-item energy-restricted Mediterranean diet (MedDiet) questionnaire. RESULTS Compared to non-diabetic participants, those with pre-diabetes had lower intakes of total carbohydrates (CHO) and higher intakes of total fat and saturated fatty acids (SFA) and were more likely to be below EAR for folic, while diabetic participants had lower intakes of total CHO and higher intakes of protein, total fat, monounsaturated fatty acids, SFA and cholesterol and were less likely to be below EAR for vitamins B2, and B6, Ca, Zn and iodine. Diabetic participants disclosed higher adherence to the MedDiet than the other two groups. CONCLUSIONS Older Mediterranean individuals with metabolic syndrome and diabetes had better nutrient adequacy and adherence to the MedDiet than those with pre-diabetes or no diabetes.
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Affiliation(s)
- Maria Del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Manuela Abbate
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain; Human Nutrition Unit, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Jesús Vioque
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Ángel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Francisco Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Institute of Biomedicine (IBIOMED), University of León, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; CIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Department of Health Sciences, University of Jaen, Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Spain
| | - M Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alberto Asensio
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - Juan Carlos Cenoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Javier Diez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain.
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11
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Abshirini M, Bagheri F, Mahaki B, Siassi F, Koohdani F, Safabakhsh M, Sotoudeh G. The dietary acid load is higher in subjects with prediabetes who are at greater risk of diabetes: a case-control study. Diabetol Metab Syndr 2019; 11:52. [PMID: 31303897 PMCID: PMC6604202 DOI: 10.1186/s13098-019-0447-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 06/23/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND We aimed to examine the association of dietary acid load and prediabetes in a case-control study. METHODS This study recruited 297 subjects including 147 prediabetic subjects and 150 controls referred to diabetes screening center in Shahreza, Iran. Participants were frequency-matched by sex and age. Blood pressure, anthropometric measures and blood glucose levels were measured. Dietary intake was assessed using a validated 168-items food frequency questionnaire (FFQ). The dietary acid load scores including the potential renal acid load (PRAL) and net endogenous acid production (NEAP) were calculated based on nutrients intake. NEAP and PRAL scores were categorized by quartiles based on the distribution of controls. Logistic regression models were used to estimate multivariable odds ratio (OR) of prediabetes across the energy-adjusted and sex-specific quartiles of NEAP and PRAL scores. RESULTS Participants of control group in the higher quartiles of NEAP and PRAL tended to have higher body weight compared to the lower quartiles (P-trend < 0.04). After adjustment for multiple confounding variables, participants in the highest quartiles of NEAP and PRAL had increased OR for prediabetes (OR = 14.48 95% CI 5.64-37.19), and (OR = 25.61 95% CI 9.63-68.08) (P-trend < 0.001), respectively. CONCLUSION Our data indicated subjects with prediabetes had diets with more acid-forming potential than control group. Our findings suggest that higher dietary acid load was associated with increased prediabetes morbidity. Interventional studies are warranted to elucidate the role of acidogenic diets in the development of prediabetes.
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Affiliation(s)
- Maryam Abshirini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, KeshavarzBlv, Tehran, Iran
- Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Fariba Bagheri
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, KeshavarzBlv, Tehran, Iran
| | - Behzad Mahaki
- Department of Epidemiology and Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fereydoun Siassi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, KeshavarzBlv, Tehran, Iran
| | - Fariba Koohdani
- Department of Cellular and Molecular Nutrition, School of Nutritional Sciences and Dietetics, University of Medical Sciences, Tehran, Iran
| | - Maryam Safabakhsh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, KeshavarzBlv, Tehran, Iran
| | - Gity Sotoudeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, KeshavarzBlv, Tehran, Iran
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12
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Siddiqui S, Zainal H, Harun SN, Sheikh Ghadzi SM. Dietary assessment of pre-diabetic patients by using food frequency questionnaire. A systematic review of study quality, study outcome, study questionnaire and their relative validity and reliability. Clin Nutr ESPEN 2018; 29:213-223. [PMID: 30661689 DOI: 10.1016/j.clnesp.2018.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 10/05/2018] [Indexed: 01/26/2023]
Abstract
BACKGROUND The contribution of dietary factors in the development and progression of pre-diabetes has been increasingly recognized. However, due to high variability in dietary habits measurement of dietary intake remains one of the most challenging tasks in this population. Food frequency questionnaire (FFQ) which investigates usual dietary intake can be used to identify frequent consumption of foods such as dietary fat, fiber, grains that are linked to the risk of pre-diabetes. METHOD This systematic review was conducted to identify and describe FFQs that measure dietary intake of pre-diabetic patients and to examine their relative validity and reliability. The systematic search was done through electronic databases such as PubMed, CINAHL, PsycINFO, ProQuest and Scopus. Methodological quality of included studies and results of study outcome was also summarized in this review. RESULT The search identified 445 papers, of which 18 studies reported 15 FFQs, met inclusion criteria. Most of the FFQs (n = 12) were semi-quantitative while three were frequency measures with portion size estimation of selected food items. Test-retest reliability of FFQ was reported in 7 (38.3%) studies with the correlation coefficient of 0.33-0.92. Relative validity of FFQ was reported in 16 (88.8%) studies with the range of correlation coefficient of 0.08-0.83. Dietary patterns rich in carbohydrate, fat, animal protein and n-3 fatty acids were associated with increased risk of pre-diabetes. CONCLUSION No well-established disease-specific FFQ identified in the literature. Development of a valid, practical and reliable tool is needed for better understanding of the impact of diet in pre-diabetic population.
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Affiliation(s)
- Sania Siddiqui
- Discipline of Clinical Pharmacy, School of Pharmaceutical Science, Universiti Sains Malaysia, Malaysia
| | - Hadzliana Zainal
- Discipline of Clinical Pharmacy, School of Pharmaceutical Science, Universiti Sains Malaysia, Malaysia.
| | - Sabariah Noor Harun
- Discipline of Clinical Pharmacy, School of Pharmaceutical Science, Universiti Sains Malaysia, Malaysia
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13
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Abshirini M, Mahaki B, Bagheri F, Siassi F, Koohdani F, Sotoudeh G. Higher Intake of Phytochemical-Rich Foods is Inversely Related to Prediabetes: A Case-Control Study. Int J Prev Med 2018; 9:64. [PMID: 30147853 PMCID: PMC6085832 DOI: 10.4103/ijpvm.ijpvm_145_18] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 05/22/2018] [Indexed: 12/28/2022] Open
Abstract
Background Dietary phytochemical index (DPI) has introduced as an inexpensive method for quantifying the phytochemicals in foods. For the first time, this study was conducted to investigate the relationship between DPI and the risk of prediabetes. Methods Three hundred participants were assigned to 150 prediabetics (cases) and 150 healthy (controls) groups. Anthropometric values, fasting blood glucose, and 2-h oral glucose tolerance test (OGTT) were measured. The DPI was calculated based on data collected from 168-item validated food frequency questionnaire. Results The sex-specific energy-adjusted DPI was inversely related to fasting blood glucose (FBG) and OGTT (P < 0.001). The odds ratio (OR) of prediabetes was assessed across sex-specific energy-adjusted DPI quartiles. After adjusting for body mass index, physical activity, education, dietary intake of energy, fiber, carbohydrate (% of energy), fat (% of energy), and protein (% of energy), the OR of prediabetes across the sex-specific energy-adjusted DPI quartiles decreased significantly (P-trend < 0.001). Conclusions We found that higher DPI score is related to lower prediabetes OR. This simple method may be used for the improvement of dietary intake to prevent prediabetes.
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Affiliation(s)
- Maryam Abshirini
- Department of Community Nutrition, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Behzad Mahaki
- Department of Epidemiology and Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fariba Bagheri
- Department of Community Nutrition, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereydoun Siassi
- Department of Community Nutrition, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fariba Koohdani
- Department of Cellular, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Gity Sotoudeh
- Department of Community Nutrition, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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14
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Tayyem R. Reply to "Dietary patterns and the risk of coronary heart disease among Jordanians: A case-control study. Statistical and methodological issues". Nutr Metab Cardiovasc Dis 2018; 28:532. [PMID: 29609863 DOI: 10.1016/j.numecd.2018.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 02/02/2018] [Accepted: 02/05/2018] [Indexed: 10/17/2022]
Affiliation(s)
- R Tayyem
- Department of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman, 11942, Jordan.
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15
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Kelishadi R, Heshmat R, Mansourian M, Motlagh ME, Ziaodini H, Taheri M, Ahadi Z, Aminaee T, Goodarzi A, Mansourian M, Qorbani M, Mozafarian N. Association of dietary patterns with continuous metabolic syndrome in children and adolescents; a nationwide propensity score-matched analysis: the CASPIAN-V study. Diabetol Metab Syndr 2018; 10:52. [PMID: 29988703 PMCID: PMC6029340 DOI: 10.1186/s13098-018-0352-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 06/08/2018] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE This study aims to determine the association of dietary patterns with metabolic syndrome (MetS) and its components in children and adolescents. METHODS This nationwide study was conducted in 2015 among 4200 students aged 7-18 years, who lived in 30 provinces in Iran. The analysis was conducted based on the propensity score using a matched case-control study design. Three dietary patterns were obtained conducting a principal component analysis with a varimax rotation on 16 dietary groups. Continuous MetS score was computed by standardizing the residuals (z-scores) of MetS components by regressing them according to age and sex. The gold standard diagnosis of MetS was considered based on the International Diabetes Federation criteria. Moreover, for the purpose of data analysis, matched logistics analysis was used. RESULTS The study participants consisted of 3843 children and adolescents (response rate 91.5%) with mean (SD) age of 12.45 (3.04) years. Totally 49.4% of students were girls and 71.4% lived in urban areas. Three dietary patterns were obtained: Healthy, Western, and Sweet. Prevalence of MetS was 5% (boy 5.5 and girl 4.5%). Results of multivariate analysis show that students with Sweet dietary patterns were at higher risk for abdominal obesity (OR 1.29; 95% CI 1.01-1.66), elevated blood pressure (OR 1.35; 95% CI 1.01-1.81) and MetS (OR 1.33; 95% CI 1.02-1.74). The two other dietary patterns were not associated with MetS and its components. CONCLUSION Sweet dietary pattern increase the risk of MetS and some its components in Iranian children and adolescents. This finding provides valuable information for effective preventive strategies of MetS based on diet rather than medication to maintain healthy lifestyle habits.
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Affiliation(s)
- Roya Kelishadi
- Child Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marjan Mansourian
- School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Hasan Ziaodini
- Office of Health and Fitness, Ministry of Education, Tehran, Iran
| | - Majzoubeh Taheri
- Bureau of Population, Family and School Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Zeinab Ahadi
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Tahereh Aminaee
- Bureau of Population, Family and School Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Azam Goodarzi
- Department of Health Education and Promotion, Tarbiat Modarres University, Tehran, Iran
| | - Morteza Mansourian
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nafiseh Mozafarian
- Child Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
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Sotoudeh G, Abshirini M, Bagheri F, Siassi F, Koohdani F, Aslany Z. Higher dietary total antioxidant capacity is inversely related to prediabetes: A case-control study. Nutrition 2017; 46:20-25. [PMID: 29290350 DOI: 10.1016/j.nut.2017.08.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Revised: 07/13/2017] [Accepted: 08/06/2017] [Indexed: 01/19/2023]
Abstract
OBJECTIVES Dietary total antioxidant capacity (DTAC) has been proposed as a tool for assessing the intake of antioxidants. The relationship between DTAC and blood glucose levels has been investigated mostly in healthy people. The aim of this study was to evaluate the association between DTAC and prediabetes morbidity in a case-control study. METHODS We examined 300 individuals with and without prediabetes (n = 150/group) who attended a Diabetes Screening Center in Shahreza, Iran. The anthropometric measures, physical activity, and blood glucose levels of all participants were measured. Food intake over the previous year was determined using a semiquantitative food frequency questionnaire, and sex-specific, energy-adjusted DTAC was calculated using the U.S. Department of Agriculture's database. Logistic reg/ression was used to model the relationship between DTAC and prediabetes morbidity. RESULTS The mean DTAC was significantly lower in individuals with prediabetes than in the control group (P < 0.001). Across increasing DTAC quartiles, the participants had lower fasting blood glucose and 2-h postchallenge plasma glucose (Ptrend < 0.02). After adjustment for body mass index; physical activity; education; dietary intake of fiber, fat, energy, and coffee; participants in the fourth quartile of DTAC were less likely to experience prediabetes compared with those in the first quartile (odds ratio, 0.18; 95% confidence interval, 0.07-0.49). CONCLUSION The DTAC score appears useful when assessing the antioxidant capacity of diet and to better understand the relationship between diet and prediabetes morbidity. Future studies are needed to confirm the findings from the present study in other populations.
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Affiliation(s)
- Gity Sotoudeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Abshirini
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fariba Bagheri
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereydoun Siassi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fariba Koohdani
- Department of Cellular, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Aslany
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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