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Luján-Barroso L, Margara-Escudero HJ, Crous-Bou M, Huerta JM, Chirlaque MD, Molina-Montes E, Sánchez MJ, Guevara M, Moreno-Iribas C, Amiano P, Mokoroa O, González S, Agudo A, Quirós JR, Jakszyn P. Chrono-Nutrition, Chrono-Type, and the Prevalence of Type 2 Diabetes Mellitus in a Cross-Sectional Study from the EuroPean Prospective Investigation into Cancer and Nutrition (EPIC) Study. Nutrients 2024; 16:2598. [PMID: 39203735 PMCID: PMC11357269 DOI: 10.3390/nu16162598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 09/03/2024] Open
Abstract
Background: Previous studies have shown that meal timing, poor sleep quality, and chronotype may play a relevant role in the development of type 2 diabetes mellitus (T2DM). However, its relationship with macronutrients by eating occasions has not been explored deeply. Objective: Our aim was to estimate the association between chrono-nutrition, sleep quality, chronotype, and the prevalence of T2DM. Methods: This cross-sectional study included a subset of 3465 middle-aged Caucasian adults (2068 women) from the European Prospective Investigation into Cancer and Nutrition (EPIC) Spain cohort study. In the 2017-18 follow-up, we assessed chronotype, sleep quality, diet, and sociodemographic data using validated questionnaires. Further, we used blood samples to determine serum levels of glucose. We defined a case of T2DM when serum glucose concentration was ≥126 mg/dL or when participants self-reported diabetes. Results: A higher prevalence of T2DM was associated with poor sleep quality (ORpoorvsgood = 2.90, 95% CI = 1.30, 6.28). Carbohydrate intake at breakfast was inversely associated with the prevalence of T2DM (OR = 0.75, 95% CI = 0.66, 0.85). Finally, lipid intake at breakfast was associated with a 13% higher prevalence of T2DM (OR = 1.13, 95% CI = 1.01, 1.26) for each 1 standard deviation (1-SD) increase. Conclusions: This study concludes that a higher content of carbohydrates at breakfast is correlated with a reduced prevalence of T2DM, while higher lipids intake at breakfast is associated with a higher prevalence of T2DM. Furthermore, poor sleep quality is a potential factor associated with an elevated prevalence of T2DM. Our results emphasize the need for prospective studies to validate and strengthen these observed associations.
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Affiliation(s)
- Leila Luján-Barroso
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (L.L.-B.); (H.J.M.-E.); (M.C.-B.); (A.A.)
- Department of Public Health, Mental Health and Maternal and Child Health Nursing, Faculty of Nursing, University of Barcelona, 08907 Barcelona, Spain
| | - Hernando J. Margara-Escudero
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (L.L.-B.); (H.J.M.-E.); (M.C.-B.); (A.A.)
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (L.L.-B.); (H.J.M.-E.); (M.C.-B.); (A.A.)
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council-IMIB, 30120 Murcia, Spain; (J.M.H.); (M.-D.C.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
| | - María-Dolores Chirlaque
- Department of Epidemiology, Murcia Regional Health Council-IMIB, 30120 Murcia, Spain; (J.M.H.); (M.-D.C.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
- Sociohealth Sciences Department, Murcia University, 30100 Murcia, Spain
| | - Esther Molina-Montes
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
- Department of Nutrition and Food Science, University of Granada, 18071 Granada, Spain
- Institute of Nutrition and Food Technology (INYTA) ‘José Mataix’, Biomedical Research Centre, University of Granada, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
| | - María José Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain
| | - Marcela Guevara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
- Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Conchi Moreno-Iribas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.-M.); (M.J.S.); (M.G.); (C.M.-I.)
- Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Pilar Amiano
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, 20010 San Sebastian, Spain; (P.A.); (O.M.)
- Epidemiology of Chronic and Communicable Diseases Group, BioGipuzkoa (BioDonostia) Health Research Institute, 20014 San Sebastian, Spain
| | - Olatz Mokoroa
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, 20010 San Sebastian, Spain; (P.A.); (O.M.)
- Epidemiology of Chronic and Communicable Diseases Group, BioGipuzkoa (BioDonostia) Health Research Institute, 20014 San Sebastian, Spain
| | - Sonia González
- Department of Functional Biology, University of Oviedo, 33007 Asturias, Spain; (S.G.); (J.R.Q.)
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (L.L.-B.); (H.J.M.-E.); (M.C.-B.); (A.A.)
| | - José Ramón Quirós
- Department of Functional Biology, University of Oviedo, 33007 Asturias, Spain; (S.G.); (J.R.Q.)
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (L.L.-B.); (H.J.M.-E.); (M.C.-B.); (A.A.)
- Blanquerna School of Health Sciences, Ramon Llull University, 08022 Barcelona, Spain
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Wiśniewska-Ślepaczuk K, Żak-Kowalska K, Moskal A, Kowalski S, Al-Wathinani AM, Alhajlah M, Goniewicz K, Goniewicz M. Nutritional Profiles and Their Links to Insulin Resistance and Anthropometric Variables in a Female Cohort. Metabolites 2024; 14:252. [PMID: 38786729 PMCID: PMC11122850 DOI: 10.3390/metabo14050252] [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: 04/03/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
This study investigates the relationship between dietary habits and metabolic health among women, emphasizing the role of anthropometric parameters as proxies for insulin resistance. We analyzed data from 443 women categorized into two groups based on the presence or absence of clinically diagnosed insulin resistance. Our assessments included dietary quality, socio-demographic characteristics, and a series of anthropometric measurements such as body weight, Body Mass Index (BMI), Waist-Hip Ratio (WHR), Abdominal Volume Index (AVI), and Body Adiposity Index (BAI). The results indicated significant disparities in these parameters, with the insulin-resistant group exhibiting higher average body weight (78.92 kg vs. 65.04 kg, p < 0.001), BMI (28.45 kg/m2 vs. 23.17 kg/m2, p < 0.001), and other related measures, suggesting a strong influence of dietary patterns on body composition and metabolic risk. The study underscores the importance of dietary management in addressing insulin resistance, advocating for personalized dietary strategies to improve metabolic health outcomes in women. This approach highlights the need for integrating dietary changes with lifestyle modifications and socio-demographic considerations to combat metabolic risks effectively.
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Affiliation(s)
| | - Karolina Żak-Kowalska
- New Medical Techniques Specialist Hospital of the Holy Family, 36-060 Rudna Mała, Poland;
| | - Adrian Moskal
- Hospital Emergency Department, Voivodship Hospital in Krosno, 38-400 Krosno, Poland;
| | - Sebastian Kowalski
- Department of Emergency Medicine, Medical University of Lublin, 20-081 Lublin, Poland;
| | - Ahmed M. Al-Wathinani
- Department of Emergency Medical Services, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mousa Alhajlah
- Applied of Computer Science College, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Krzysztof Goniewicz
- Department of Security Studies, Polish Air Force University, 08-521 Deblin, Poland;
| | - Mariusz Goniewicz
- Department of Emergency Medicine, Medical University of Lublin, 20-081 Lublin, Poland;
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Carbone S, Pozzilli P. Chrononutrition in cardiometabolic diseases: Current evidence and future perspectives. Diabetes Metab Res Rev 2024; 40:e3779. [PMID: 38349068 DOI: 10.1002/dmrr.3779] [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] [Indexed: 02/15/2024]
Abstract
Chrononutrition is the field of nutritional science that investigates the relationship between food intake, timing of food intake, and their effects and influence on circadian rhythms and overall health. By aligning eating patterns with body's internal clock, optimisation of metabolic processes, improvements of various aspects of health can be achieved. Cardiovascular (CV) and metabolic diseases remain the leading cause of morbidity and mortality worldwide. Notably, in the US alone, approximately half of all cardiometabolic deaths are attributed to modifiable dietary factors, suggesting that dietary changes could result in dramatic increases in lifespan and its related quality of life. Social media have also a great impact on chrononutrition and their role cannot be neglected. The impact of social media on chrononutrition can be multifaceted: information dissemination, influence on eating habits, digital detox challenges, cultural influence and social jet lag. This special issue will provide novel insights and clarifications on chrononutrition, but also on additional controversial topics. The articles we selected should promote future preclinical and clinical studies to ultimately identify the most appropriate approaches to reduce the unacceptable high burden of CV and metabolic diseases.
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Affiliation(s)
- Salvatore Carbone
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, Virginia, USA
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Paolo Pozzilli
- Fondazione Campus Bio-Medico, Campus Bio-Medico University of Rome, Rome, Italy
- Centre of Immunobiology, Blizard Institute, Barts and the London School of Medicine, London, UK
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