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Yin X, Zhang F, Bi C, Liu Y, Guo Y, Sun P, Hong J. Association between soybean product consumption and executive function in Chinese Tibetan children and adolescents. Front Nutr 2024; 11:1348918. [PMID: 38487627 PMCID: PMC10937359 DOI: 10.3389/fnut.2024.1348918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 01/15/2024] [Indexed: 03/17/2024] Open
Abstract
Objective This sought to explore the association between soybean product consumption and executive function (EF) in Chinese Tibetan adolescents in high-altitude areas. Methods A total of 1,184 Tibetan children and adolescents were tested on demographic variables, soybean product consumption, and executive function in Lhasa and Nagchu regions of Tibet, China, using stratified whole population sampling. One-way ANOVA, linear regression analysis, and logistic regression analysis were used to analyze the associations existing between soybean product consumption and executive function. Results The proportions of Hardly ever, Occasionally, and Often in Soy Consumption among Tibetan children and adolescents in high altitude areas of Tibet, China were 21.7, 50.3, and 28.0%, respectively. The difference in 2 back reaction time among Tibetan children and adolescents with different soybean product consumption was statistically significant (F = 6.374, p = 0.002). The difference in conversion function reaction time was also statistically significant (F = 8.129, p < 0.001). Taking the soybean product consumption ≥6 t/w group as the reference group, after adjusting the relevant factors, those with soybean product consumption ≤1 t/w showed a statistically significant increase in Inhibit Function Dysfunction (OR = 1.844, 95% CI: 1.152, 2.951) and Conversion Function Dysfunction (OR = 2.008, 95% CI: 1.106, 3.646) had an increased risk of Conversion Function Dysfunction (OR = 2.008, 95% CI: 1.106, 3.646), which was significantly different (p < 0.05). Conclusion There is an association between soybean product consumption and inhibitory control and translational flexibility of brain executive functions in Chinese Tibetan children and children and adolescents at high altitude.
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Affiliation(s)
- Xiaojian Yin
- Department of Physical Education, Shanghai Institute of Technology, Shanghai, China
| | - Feng Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, China
- College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Cunjian Bi
- Sports Health Promotion Center, Chizhou University, Chizhou, China
| | - Yuan Liu
- Physical Education College of Shanghai University, Shanghai, China
| | - Yaru Guo
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, China
- College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Pengwei Sun
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, China
- College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Jun Hong
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, China
- College of Physical Education and Health, East China Normal University, Shanghai, China
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Lampignano L, Tatoli R, Donghia R, Bortone I, Castellana F, Zupo R, Lozupone M, Panza F, Conte C, Sardone R. Nutritional patterns as machine learning predictors of liver health in a population of elderly subjects. Nutr Metab Cardiovasc Dis 2023; 33:2233-2241. [PMID: 37541928 DOI: 10.1016/j.numecd.2023.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/14/2023] [Accepted: 07/07/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND AND AIMS Non-alcoholic hepatic steatosis affects 25% of adults worldwide and its prevalence increases with age. There is currently no definitive treatment for NAFLD but international guidelines recommend a lifestyle-based approach, including a healthy diet. The aim of this study was to investigate the interactions between eating habits and the risk of steatosis and/or hepatic fibrosis, using a machine learning approach, in a non-institutionalized elderly population. METHODS AND RESULTS We recruited 1929 subjects, mean age 74 years, from the population-based Salus in Apulia Study. Dietary habits and the risk of steatosis and hepatic fibrosis were evaluated with a validated food frequency questionnaire, the Fatty Liver Index (FLI) and the FIB-4 score, respectively. Two dietary patterns associated with the risk of steatosis and hepatic fibrosis have been identified. They are both similar to a "western" diet, defined by a greater consumption of refined foods, with a rich content of sugars and saturated fats, and alcoholic and non-alcoholic calorie drinks. CONCLUSION This study further supports the concept of diet as a factor that significantly influences the development of the most widespread liver diseases. However, longitudinal studies are needed to better understand the causal effect of the consumption of particular foods on fat accumulation in the liver.
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Affiliation(s)
| | - Rossella Tatoli
- National Institute of Gastroenterology IRCCS "Saverio de Bellis", Research Hospital, Castellana Grotte, Italy
| | - Rossella Donghia
- National Institute of Gastroenterology IRCCS "Saverio de Bellis", Research Hospital, Castellana Grotte, Italy
| | - Ilaria Bortone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari Aldo Moro, Bari, Italy
| | | | - Roberta Zupo
- Department of Interdisciplinary Medicine, University "Aldo Moro", Bari, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari Aldo Moro, Bari, Italy
| | - Francesco Panza
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Caterina Conte
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy; Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Milan, Italy
| | - Rodolfo Sardone
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
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3
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Tatoli R, Lampignano L, Donghia R, Niro A, Castellana F, Bortone I, Zupo R, Tirelli S, Lozupone M, Panza F, Alessio G, Boscia F, Sborgia G, Sardone R. Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5108. [PMID: 36982016 PMCID: PMC10049576 DOI: 10.3390/ijerph20065108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Like other parts of the body, the retina and its neurovascular system are also affected by age-related changes. The rising age of populations worldwide makes it important to study the pathologies related to age and their potential risk factors, such as diet and eating habits. The aim of this study was to investigate the predictive power of food groups versus retinal features among noninstitutionalized older adults from Southern Italy using a machine learning approach. METHODS We recruited 530 subjects, with a mean age of 74 years, who were drawn from the large population of the Salus in Apulia Study. In the present cross-sectional study, eating habits were assessed with a validated food frequency questionnaire. For the visual assessment, a complete ophthalmic examination and optical coherence tomography-angiography analyses were performed. RESULTS The analyses identified 13 out of the 28 food groups as predictors of all our retinal variables: grains, legumes, olives-vegetable oil, fruiting vegetables, other vegetables, fruits, sweets, fish, dairy, low-fat dairy, red meat, white meat, and processed meat. CONCLUSIONS Eating habits and food consumption may be important risk factors for age-related retinal changes. A diet that provides the optimal intake of specific nutrients with antioxidant and anti-inflammatory powers, including carotenoids and omega-3 fatty acids, could have beneficial effects.
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Affiliation(s)
- Rossella Tatoli
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Luisa Lampignano
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Rossella Donghia
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Alfredo Niro
- Eye Clinic, Hospital “SS. Annunziata”, ASL Taranto, 74100 Taranto, Italy
| | - Fabio Castellana
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Ilaria Bortone
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Roberta Zupo
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Sarah Tirelli
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Francesco Panza
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Giovanni Alessio
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Francesco Boscia
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Giancarlo Sborgia
- Department of Translational Biomedicine and Neuroscience “DiBraiN”, University of Bari Aldo Moro, 70121 Bari, Italy
| | | | - Rodolfo Sardone
- National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy
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Liver Fibrosis and Hearing Loss in an Older Mediterranean Population: Results from the Salus in Apulia Study. J Clin Med 2022; 11:jcm11237213. [PMID: 36498787 PMCID: PMC9736605 DOI: 10.3390/jcm11237213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/23/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Aging is the main negative prognostic factor for various chronic diseases, such as liver fibrosis, and clinical disorders such as hearing loss. This study aimed to investigate the association between age-related hearing loss (ARHL) and age-related central auditory processing disorder (CAPD), and the risk for liver fibrosis in a cross-sectional study on an aging population. Methods: Liver fibrosis risk was judged on the fibrosis-4 (FIB-4) score. Peripheral ARHL was evaluated with pure tone audiometry using a calibrated audiometer. The pure tone average (PTA), calculated as a threshold ≤ 40 dB (HL) in the better ear, was measured at the frequencies 0.5−4 kHz. For age-related CAPD assessment, we employed the Synthetic Sentence Identification with an Ipsilateral Competitive Message test (SSI-ICM). General linear Logistic regression models were used to estimate the association. Results: The increase in the PTA 0.5−2 kHz (coefficient: 0.02, SE: 0.01, CI 95%: 0.01 to 0.03) was directly associated with a higher risk of liver fibrosis (FIB-4 ≥ 2.67). Moreover, the reduction in SSI (coefficient: −0.02, SE: 0.01, CI 95%: −0.03 to −0.01) was inversely associated with FIB-4 values < 2.67. Conclusion: Our results show an association between liver fibrosis and both ARHL and CAPD, linked by the typical consequence of aging. We also assume a role of inflammatory responses and oxidative stress.
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Bellastella G, Scappaticcio L, Caiazzo F, Tomasuolo M, Carotenuto R, Caputo M, Arena S, Caruso P, Maiorino MI, Esposito K. Mediterranean Diet and Thyroid: An Interesting Alliance. Nutrients 2022; 14:nu14194130. [PMID: 36235782 PMCID: PMC9571437 DOI: 10.3390/nu14194130] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/26/2022] [Accepted: 09/29/2022] [Indexed: 11/30/2022] Open
Abstract
The Mediterranean diet, recognized as being cultural heritage by UNESCO, is mostly plant-based and includes a high consumption of whole-grain, fruit, and vegetables with a moderate consumption of alcohol during meals. Thus, it provides a small amount of saturated fatty acids and a high quantity of antioxidants and fiber. For this reason, it has been considered to have an important role in preventing cardiovascular diseases, chronic kidney diseases, type 2 diabetes mellitus, and cancer, but its relationship with thyroid function and diseases is still under debate. The aim of this review was to search for the possible correlation between the Mediterranean diet and thyroid function, and to critically evaluate the pathophysiological link between selected food intake and thyroid disorders.
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Affiliation(s)
- Giuseppe Bellastella
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
- Correspondence: ; Tel.: +39-0815665289
| | - Lorenzo Scappaticcio
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Francesco Caiazzo
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Maria Tomasuolo
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Raffaela Carotenuto
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Mariangela Caputo
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Stefania Arena
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Paola Caruso
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Maria Ida Maiorino
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Katherine Esposito
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
- Unit of Endocrinology and Metabolic Diseases, University Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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6
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Tatoli R, Lampignano L, Donghia R, Castellana F, Zupo R, Bortone I, De Nucci S, Campanile G, Lofù D, Vimercati L, Lozupone M, De Pergola G, Panza F, Giannelli G, Di Noia T, Boeing H, Sardone R. Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach. Front Nutr 2022; 9:811076. [PMID: 35340551 PMCID: PMC8942783 DOI: 10.3389/fnut.2022.811076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/10/2022] [Indexed: 12/20/2022] Open
Abstract
Background Diet and social determinants influence the state of human health. In older adults, the presence of social, physical and psychological barriers increases the probability of deprivation. This study investigated the relationship between social deprivation and eating habits in non-institutionalized older adults from Southern Italy, and identified foods and dietary habits associated with social deprivation. Methods We recruited 1,002 subjects, mean age 74 years, from the large population based Salus in Apulia Study. In this cross-sectional study, eating habits and the level of deprivation were assessed with FFQ and DiPCare-Q, respectively. Results Deprived subjects (n = 441) included slightly more females, who were slightly older and with a lower level of education. They consumed less fish (23 vs. 26 g), fruiting vegetables (87 vs. 102 g), nuts (6 vs. 9 g) and less “ready to eat” dishes (29 vs. 33 g). A Random Forest (RF) model was used to identify a dietary pattern associated with social deprivation. This pattern included an increased consumption of low-fat dairy products and white meat, and a decreased consumption of wine, leafy vegetables, seafood/shellfish, processed meat, red meat, dairy products, and eggs. Conclusion The present study showed that social factors also define diet and eating habits. Subjects with higher levels of deprivation consume cheaper and more readily available food.
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Affiliation(s)
- Rossella Tatoli
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Luisa Lampignano
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Rossella Donghia
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Fabio Castellana
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Roberta Zupo
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Ilaria Bortone
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Sara De Nucci
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Giuseppe Campanile
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Domenico Lofù
- Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
| | - Luigi Vimercati
- Interdisciplinary Department of Medicine, Section of Occupational Medicine B. Ramazzini, School of Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Madia Lozupone
- Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Giovanni De Pergola
- Unit of Internal Medicine and Geriatrics, National Institute of Gastroenterology "S. de Bellis" Research Hospital, Castellana Grotte, Italy.,Department of Biomedical Science and Human Oncology, School of Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Francesco Panza
- Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Gianluigi Giannelli
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
| | - Tommaso Di Noia
- Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
| | - Heiner Boeing
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy.,Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Rodolfo Sardone
- Unit of Digital Health and Health Technology Assessment for "Salus in Apulia Study," National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte, Italy
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7
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Tatoli R, Lampignano L, Bortone I, Donghia R, Castellana F, Zupo R, Tirelli S, De Nucci S, Sila A, Natuzzi A, Lozupone M, Griseta C, Sciarra S, Aresta S, De Pergola G, Sorino P, Lofù D, Panza F, Di Noia T, Sardone R. Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach. SENSORS 2022; 22:s22062193. [PMID: 35336365 PMCID: PMC8949084 DOI: 10.3390/s22062193] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/04/2022] [Accepted: 03/08/2022] [Indexed: 01/27/2023]
Abstract
Dietary behaviour is a core element in diabetes self-management. There are no remarkable differences between nutritional guidelines for people with type 2 diabetes and healthy eating recommendations for the general public. This study aimed to evaluate dietary differences between subjects with and without diabetes and to describe any emerging dietary patterns characterizing diabetic subjects. In this cross-sectional study conducted on older adults from Southern Italy, eating habits in the “Diabetic” and “Not Diabetic” groups were assessed with FFQ, and dietary patterns were derived using an unsupervised learning algorithm: principal component analysis. Diabetic subjects (n = 187) were more likely to be male, slightly older, and with a slightly lower level of education than subjects without diabetes. The diet of diabetic subjects reflected a high-frequency intake of dairy products, eggs, vegetables and greens, fresh fruit and nuts, and olive oil. On the other hand, the consumption of sweets and sugary foods was reduced compared to non-diabetics (23.74 ± 35.81 vs. 16.52 ± 22.87; 11.08 ± 21.85 vs. 7.22 ± 15.96). The subjects without diabetes had a higher consumption of red meat, processed meat, ready-to-eat dishes, alcoholic drinks, and lower vegetable consumption. The present study demonstrated that, in areas around the Mediterranean Sea, older subjects with diabetes had a healthier diet than their non-diabetic counterparts.
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Affiliation(s)
- Rossella Tatoli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
- Correspondence: (L.L.); (I.B.)
| | - Ilaria Bortone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
- Correspondence: (L.L.); (I.B.)
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Sarah Tirelli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Annamaria Sila
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Annalidia Natuzzi
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (M.L.); (F.P.)
| | - Chiara Griseta
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Sabrina Sciarra
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Simona Aresta
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
| | - Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy;
| | - Paolo Sorino
- Department of Electrical and Information Engineering, Polytechnic of Bari, 70125 Bari, Italy; (P.S.); (D.L.); (T.D.N.)
| | - Domenico Lofù
- Department of Electrical and Information Engineering, Polytechnic of Bari, 70125 Bari, Italy; (P.S.); (D.L.); (T.D.N.)
| | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (M.L.); (F.P.)
| | - Tommaso Di Noia
- Department of Electrical and Information Engineering, Polytechnic of Bari, 70125 Bari, Italy; (P.S.); (D.L.); (T.D.N.)
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (R.T.); (R.D.); (F.C.); (R.Z.); (S.T.); (S.D.N.); (A.S.); (A.N.); (C.G.); (S.S.); (S.A.); (R.S.)
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8
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Lampignano L, Donghia R, Sila A, Bortone I, Tatoli R, De Nucci S, Castellana F, Zupo R, Tirelli S, Giannoccaro V, Guerra V, Panza F, Lozupone M, Mastronardi M, De Pergola G, Giannelli G, Sardone R. Mediterranean Diet and Fatty Liver Risk in a Population of Overweight Older Italians: A Propensity Score-Matched Case-Cohort Study. Nutrients 2022; 14:nu14020258. [PMID: 35057439 PMCID: PMC8779579 DOI: 10.3390/nu14020258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 12/31/2021] [Accepted: 01/05/2022] [Indexed: 12/21/2022] Open
Abstract
Hepatic steatosis, often known as fatty liver, is the most common hepatic disease in Western countries. The latest guidelines for the treatment of nonalcoholic fatty liver disease emphasize lifestyle measures, such as changing unhealthy eating patterns. Using a propensity score-matching approach, this study investigated the effect of adhering to a Mediterranean diet (MedDiet) on fatty liver risk in an older population (≥65 years) from Southern Italy. We recruited 1.403 subjects (53.6% men, ≥65 years) who completed a food frequency questionnaire (FFQ) and underwent clinical assessment between 2015 and 2018. For the assessment of the liver fat content, we applied the Fatty Liver Index (FLI). To evaluate the treatment effect of the MedDiet, propensity score matching was performed on patients with and without FLI > 60. After propensity score-matching with the MedDiet pattern as treatment, we found a higher consumption of red meat (p = 0.04) and wine (p = 0.04) in subjects with FLI > 60. Based on the FLI, the inverse association shown between adherence to the MedDiet and the risk of hepatic steatosis shows that the MedDiet can help to prevent hepatic steatosis. Consuming less red and processed meat, as well as alcoholic beverages, may be part of these healthy lifestyle recommendations.
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Affiliation(s)
- Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Annamaria Sila
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Ilaria Bortone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Rossella Tatoli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Sarah Tirelli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | | | - Vito Guerra
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
| | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (F.P.); (M.L.)
| | - Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 11, 70125 Bari, Italy; (F.P.); (M.L.)
| | - Mauro Mastronardi
- Inflammatory Bowel Disease Unit, National Institute of Gastroenterology, “Saverio De Bellis” Research Hospital, 70013 Bari, Italy;
| | - Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy;
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology, “Saverio De Bellis” Research Hospital, 70013 Bari, Italy;
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, 70013 Bari, Italy; (L.L.); (R.D.); (A.S.); (I.B.); (R.T.); (S.D.N.); (F.C.); (R.Z.); (S.T.); (V.G.)
- Correspondence:
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9
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Zupo R, Castellana F, Panza F, Lampignano L, Murro I, Di Noia C, Triggiani V, Giannelli G, Sardone R, De Pergola G. Adherence to a Mediterranean Diet and Thyroid Function in Obesity: A Cross-Sectional Apulian Survey. Nutrients 2020; 12:E3173. [PMID: 33081337 PMCID: PMC7603040 DOI: 10.3390/nu12103173] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/13/2020] [Accepted: 10/15/2020] [Indexed: 12/12/2022] Open
Abstract
Much research suggests that Mediterranean eating habits and lifestyle contribute to counteract the risk of chronic diseases while promoting longevity, but little information is available on the effects of the Mediterranean diet (Med-Diet) on thyroid function, particularly among overweight/obese subjects. Nevertheless, consistent data reported a slight increase in serum levels of the thyroid-stimulating hormone (TSH) and a higher rate of conversion of thyroxine (T4) to triiodothyronine (T3) in obesity. This cross-sectional study was aimed at investigating the relationship between adherence to the Med-Diet and circulating thyroid hormones in a cohort of overweight/obese subjects from Apulia (Southern Italy). Methods: We studied 324 consecutive outpatient subjects (228 women and 96 men, age range 14-72 years) taking no drug therapy and showing normal levels of thyroid hormones, but complicated by overweight and obesity (body mass index (BMI) ≥ 25 Kg/m2). The PREDIMED (PREvención con DIeta MEDiterránea) questionnaire was cross-sectionally administered to assess the adherence to the Med-Diet, and hormonal, metabolic, and routine laboratory parameters were collected. Results: Higher adherence to Med-Diet was found to be inversely related to free T3 (p < 0.01) and T4 (p < 0.01) serum levels. Considering each item in the PREDIMED questionnaire, people consuming at least four spoonfuls of extra-virgin olive oil (EVOO) per day, as well as those consuming at least two servings of vegetables per day, had lower free T3 levels (p 0.033 and p 0.021, respectively). Furthermore, consuming at least four spoonfuls of EVOO per day was found to be associated to lower free T4 serum concentrations (p 0.011). Multinomial logistic regression models, performed on tertiles of thyroid hormones to further investigate the relationship with Med-Diet, corroborated the significance only for free T4. Conclusion: Increased adherence to the Med-Diet was independently associated to a slightly reduced thyroid function, but still within the reference range for free T3 and T4 serum levels. This first finding in this field opens up a research line on any underlying biological interplay.
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Affiliation(s)
- Roberta Zupo
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
| | - Fabio Castellana
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
| | - Francesco Panza
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Luisa Lampignano
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
| | - Isanna Murro
- Department of Biomedical Science and Human Oncology, School of Medicine, Policlinico, University of Bari, 70124 Bari, Italy; (I.M.); (C.D.N.)
| | - Carmen Di Noia
- Department of Biomedical Science and Human Oncology, School of Medicine, Policlinico, University of Bari, 70124 Bari, Italy; (I.M.); (C.D.N.)
| | - Vincenzo Triggiani
- Section of Internal Medicine, Geriatrics, Endocrinology and Rare Disease, Interdisciplinary Department of Medicine, School of Medicine, University of Bari, 70124 Bari, Italy;
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy;
| | - Rodolfo Sardone
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
| | - Giovanni De Pergola
- Population Health Unit—“Salus in Apulia Study”—National Institute of Gastroenterology—Research Hospital, IRCCS “S. De Bellis”, Castellana Grotte, 70013 Bari, Italy; (F.C.); (F.P.); (L.L.); (R.S.); (G.D.P.)
- Department of Biomedical Science and Human Oncology, School of Medicine, Policlinico, University of Bari, 70124 Bari, Italy; (I.M.); (C.D.N.)
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