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Hui L. Quantitative evaluation of the role of aging and non-aging factors for predicting threats from major chronic diseases and developing control strategies. Heliyon 2024; 10:e34224. [PMID: 39092255 PMCID: PMC11292258 DOI: 10.1016/j.heliyon.2024.e34224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 06/22/2024] [Accepted: 07/05/2024] [Indexed: 08/04/2024] Open
Abstract
Various indicators exist to assess the threat of chronic diseases. This paper presents new ones to evaluate the role of aging and non-aging factors for predicting threats from major chronic diseases. Age at zero mortality (AM0) and age at average mortality (AMa) can be calculated by regressing age and mortality (the intercept indicates AM0, the slope indicates the observed slope and r indicates random non-aging factors). A regression equation can be created using AMa at the age of 72 and mortality at the age of 82; thus, the expected slope can be obtained for the aging factor without considering non-aging factors. It is possible to distinguish between aging and non-aging factors using the observed and expected slopes, which should be multiplied by r to produce an index of aging (IA). The lower the AM0, AMa or IA of a disease is, the greater the threat it poses to a population. The AM0 and IA were calculated using data from China (2004 and 2019) for various diseases [cancer, heart disease (HD), cerebrovascular disease (CVD), and chronic obstructive pulmonary disease (COPD)]. We found the severity of threat was highest for cancer, CVD, other chronic diseases, HD and COPD in descending order in 2019. The results suggest that changes in threats may be related to socioeconomic development. Cancer was found to be the greatest threat to younger age groups, with IA<0.5, suggesting that non-aging risk factors may play an important role in cancers. Conversely, aging may play an important role in other chronic diseases, including HD, CVD, and COPD. Compared to 2004, the AM0 of cancer showed the greatest change. In conclusions, the different indicators explain different aspects of the problem and it would be beneficial to conduct in-depth research on the theoretical basis for the association of threats of disease with socioeconomic development in order to develop prevention and control strategies.
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Affiliation(s)
- Liu Hui
- College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China
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Lee Y, Park D, Kim S, Shin C, Suh S. Association of nightmares with cardio-cerebrovascular disease, hypertension and hyperlipidemia in older adults: A population-based cross-sectional study. J Psychosom Res 2024; 182:111669. [PMID: 38788282 DOI: 10.1016/j.jpsychores.2024.111669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/04/2024] [Accepted: 04/13/2024] [Indexed: 05/26/2024]
Abstract
OBJECTIVE This cross-sectional study investigated the relationship of nightmares with cardio-cerebrovascular disease (CVD), hypertension and hyperlipidemia which are major preceding diseases of CVD in older adults. METHODS Participants (n = 2824; mean age 63.6 ± 6.6 years, females 49.3%) completed the Disturbing Dream and Nightmare Severity Index (DDNSI), which was used to divide the sample into either the Nightmare or Non-Nightmare group (cut-off score ≥ 10). Demographic information, history of CVD (cerebrovascular disease, myocardial infarction, congestive heart failure, coronary artery disease, and arrhythmia), hypertension, hyperlipidemia, and self-report questionnaires about stress (Perceived Stress Scale), depression (Beck Depression Inventory), sleep quality (Pittsburgh Sleep Quality Index), and insomnia symptoms were also collected. RESULTS Among the sample, 379 participants (13.4%) reported experiencing nightmares more than once a year, and 73 participants (2.6%) were classified as having nightmare disorder based on DDNSI scores (≥10). 11.3% of participants (n = 319) reported having more than one CVD. Approximately half of the participants reported a history of hypertension (52.1%, n = 1471) and hyperlipidemia (47.7%, n = 1346). Logistic regression analysis indicated the Nightmare group was 2.04 times at higher risk for hyperlipidemia (OR = 2.04, 95% CI 1.22-3.40, p = .006) after controlling for covariates compared to the Non-Nightmare group. Although non-significant, there was a trend toward a higher risk of hypertension in the Nightmare group (OR = 1.67, 95% CI 0.99-2.84, p = .056). CONCLUSIONS Results of this study indicate frequent nightmares in older adults may be associated with hyperlipidemia, which are risk factors for CVD. Further studies are needed to explore nightmares' directionality and health consequences in an aging population.
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Affiliation(s)
- Youjin Lee
- Department of Psychology, Sungshin Women's University, Seoul, Republic of Korea
| | - Dasom Park
- Department of Psychology, Sungshin Women's University, Seoul, Republic of Korea
| | - Soriul Kim
- Institute of Human Genomic Study, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, College of Medicine, Korea University, Seoul, Republic of Korea; Biomedical Research Center, Korea University Ansan Hospital, Ansan, Gyeonggi, Republic of Korea.
| | - Sooyeon Suh
- Department of Psychology, Sungshin Women's University, Seoul, Republic of Korea.
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Hui L. Changes in threats from chronic obstructive pulmonary disorder and lung cancer with environmental improvements in China: Quantitative evaluation and prediction based on a model with age as a probe. Heliyon 2024; 10:e28977. [PMID: 38601596 PMCID: PMC11004806 DOI: 10.1016/j.heliyon.2024.e28977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/27/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Various indicators can be used to assess threats from chronic diseases. This study presented new indicators of quantitative evaluation and prediction of threats from chronic obstructive pulmonary disorder (COPD) and lung cancer and assessed relevant changes in these indicators occurring with environmental improvements. Age at zero mortality (AM0) and age at average mortality (AMa) values were calculated based on the regression of the linear relationship of age with mortality for COPD or lung cancer. The lower the AM0 or AMa of a chronic disease, the greater the threats from the disease to a population were considered to be. AM0 values of both diseases were higher in 2019 than in 2004. Moreover, AM0 was lower for lung cancer than for COPD (0.365 vs. 41.643); however, lung cancer and COPD demonstrated almost identical values for age-standardized mortality. AMa values of both the diseases in 2004 and 2019 were within the range of the median age group (70-74 years). In recent years, the overall mortality risk for lung cancer and COPD has decreased with environmental improvement, and aging has played a major role in lung cancer and COPD development. AM0 and AMa values may be used as a theoretical basis for further research on chronic diseases, particularly lung cancer and COPD.
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Affiliation(s)
- Liu Hui
- College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China
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Palumbo F, Ciaccioni S, Guidotti F, Forte R, Galea E, Sacripanti A, Lampe N, Lampe Š, Jelušić T, Bradić S, Lascau ML, Rodica-Borza A, Pérez RC, Rodríguez-Montero FD, Kapan M, Gezeker K, Capranica L, Tessitore A. Educational Needs for Coaching Judo in Older Adults: The EdJCO Focus Groups. Sports (Basel) 2023; 11:143. [PMID: 37624123 PMCID: PMC10458867 DOI: 10.3390/sports11080143] [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: 05/31/2023] [Revised: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
Judo coaches are urged to develop specific competencies and skills for addressing the special needs of older practitioners. Thus, the purpose of this study was to investigate the experts' opinions on judo training in late adulthood to develop sound educational programs for coaches of older judo practitioners. Overall, eighty-eight experts from an international consortium of judo and educational partners participated in national focus groups. During the focus groups, experts discussed five themes and generated statements pertinent to educate coaches to support older judo practitioners (e.g., benefits; necessary knowledge; risks; training groups definition; tools; and tests for monitoring training plans). The initial list of 262 statements was synthesized, validated, analyzed, and organized into a final list of 55 statements and six macro-areas: aging process (n = 10); safety and first aid (n = 6); physiology and fitness (n = 12); psychology and mental health (n = 11); organization and environment (n = 5); adapted judo teaching and training (n = 11). The present international eminence-based study, harmonizing diverse intercultural perspectives, highlighted the specific needs of older judo practitioners. The results of this study will contribute to the structure of a sound educational program for coaches of older judo practitioners to enhance the quality of older adults' sports experiences by linking safety, enjoyment, social interactions, and learning principles.
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Affiliation(s)
- Federico Palumbo
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
| | - Simone Ciaccioni
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
| | - Flavia Guidotti
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
| | - Roberta Forte
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
| | - Envic Galea
- International Judo Federation Academy Foundation, XBX 1421 Ta’ Xbiex, Malta; (E.G.); (A.S.)
| | - Attilio Sacripanti
- International Judo Federation Academy Foundation, XBX 1421 Ta’ Xbiex, Malta; (E.G.); (A.S.)
| | - Nuša Lampe
- Judo Club Golovec, 1000 Ljubljana, Slovenia; (N.L.); (Š.L.)
| | - Špela Lampe
- Judo Club Golovec, 1000 Ljubljana, Slovenia; (N.L.); (Š.L.)
| | - Toma Jelušić
- Zajednica Sportskih Udruga Grada Rijeke “Riječki Sportski Savez”, 51000 Rijeka, Croatia; (T.J.); (S.B.)
| | - Slaviŝa Bradić
- Zajednica Sportskih Udruga Grada Rijeke “Riječki Sportski Savez”, 51000 Rijeka, Croatia; (T.J.); (S.B.)
| | | | | | - Raúl Camacho Pérez
- Club de Judo Newton, 28609 Sevilla La Nueva, Spain; (R.C.P.); (F.D.R.-M.)
| | | | - Mesut Kapan
- Izmir Alsancak Gymnastics Specialized Sports Club, İzmir 35210, Türkiye; (M.K.); (K.G.)
| | - Kaya Gezeker
- Izmir Alsancak Gymnastics Specialized Sports Club, İzmir 35210, Türkiye; (M.K.); (K.G.)
| | - Laura Capranica
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
| | - Antonio Tessitore
- Department of Movement, Human and Health Sciences, Italian University of Sport and Movement “Foro Italico”, 00135 Rome, Italy; (F.P.); (S.C.); (R.F.); (L.C.); (A.T.)
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ADEBAJO SB, ADEBIYI R, CHAMA J, BELLO S, ONONAKU U, AKA A, LAI S, BARAL SD, DYER TV, CROWELL TA, NOWAK RG, CHARURAT M. Depression and Sexual Stigma Are Associated With Cardiometabolic Risk Among Sexual and Gender Minorities Living With HIV in Nigeria. J Acquir Immune Defic Syndr 2023; 92:50-58. [PMID: 36150037 PMCID: PMC9742173 DOI: 10.1097/qai.0000000000003096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 09/06/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND People living with HIV are vulnerable to cardiometabolic diseases. We assessed the prevalence of cardiometabolic risk factors (CMRF) and associations with sexual stigma and depression among sexual and gender minorities (SGM) in Abuja and Lagos, Nigeria. METHODS The TRUST/RV368 study enrolled SGM between March 2013 and February 2020. Participants were assessed for depression, sexual stigma, and CMRF. Robust multinomial logistic regression was used to estimate adjusted odds ratio (aORs) and 95% confidence intervals (CIs) for associations of depression, sexual stigma, and other factors with increasing numbers of CMRF. RESULTS Among 761 SGM, the mean age was 25.0 ± 6.0 years; 580 (76%) identified as cisgender men, 641 (84%) had ≥1 CMRF, 355 (47%) had mild-severe depression, and 405 (53%) reported moderate-high sexual stigma. Compared with individuals without depression, those with mild (aOR 8.28; 95% CI: 4.18 to 16.40) or moderate-severe depression (aOR 41.69; 95% CI: 9.60 to 181.04) were more likely to have 3-5 CMRF. Individuals with medium (aOR 3.17; 95% CI: 1.79 to 5.61) and high sexual stigma (aOR 14.42; 95% CI: 2.88 to 72.29) compared with those with low sexual stigma were more likely to have 3-5 CMRF. Participants age 25-34 years were less likely to have 3-5 CMRF (aOR 0.41; 95% CI: 0.23 to 0.73) compared with participants age younger than 25 years. CONCLUSION CMRF increased with severity of depression and sexual stigma, potentially predisposing SGM living with HIV to cardiometabolic diseases. Integrating interventions that address depression and sexual stigma in HIV care programs for SGM may improve cardiometabolic outcomes.
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Affiliation(s)
- Sylvia B ADEBAJO
- Center for International Health Education Biosecurity – University of Maryland Baltimore, Abuja, Nigeria
| | - Ruxton ADEBIYI
- Center for International Health Education Biosecurity – University of Maryland Baltimore, Abuja, Nigeria
| | - John CHAMA
- Center for International Health Education Biosecurity – University of Maryland Baltimore, Abuja, Nigeria
| | - Segun BELLO
- Center for International Health Education Biosecurity – University of Maryland Baltimore, Abuja, Nigeria
| | | | - Abayomi AKA
- International Centre for Advocacy on Right to Health - ICARH, Abuja, Nigeria
| | - Shenghan LAI
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stefan D. BARAL
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Typhanye V. DYER
- University of Maryland School of Public Health, College Park, MD, USA
| | - Trevor A. CROWELL
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Rebecca G. NOWAK
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Man CHARURAT
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
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Fitipaldi H, Franks PW. Ethnic, gender and other sociodemographic biases in genome-wide association studies for the most burdensome non-communicable diseases: 2005-2022. Hum Mol Genet 2022; 32:520-532. [PMID: 36190496 PMCID: PMC9851743 DOI: 10.1093/hmg/ddac245] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 08/08/2022] [Accepted: 09/26/2022] [Indexed: 01/24/2023] Open
Abstract
INTRODUCTION Since 2005, disease-related human genetic diversity has been intensively characterized using genome-wide association studies (GWAS). Understanding how and by whom this work was performed may yield valuable insights into the generalizability of GWAS discoveries to global populations and how high-impact genetics research can be equitably sustained in the future. MATERIALS AND METHODS We mined the NHGRI-EBI GWAS Catalog (2005-2022) for the most burdensome non-communicable causes of death worldwide. We then compared (i) the geographic, ethnic and socioeconomic characteristics of study populations; (ii) the geographic and socioeconomic characteristics of the regions within which researchers were located and (iii) the extent to which male and female investigators undertook and led the research. RESULTS The research institutions leading the work are often US-based (37%), while the origin of samples is more diverse, with the Nordic countries having contributed as much data to GWAS as the United States (~17% of data). The majority of first (60%), senior (75%) and all (66%) authors are male; although proportions vary by disease and leadership level, male co-authors are the ubiquitous majority. The vast majority (91%) of complex trait GWAS has been performed in European ancestry populations, with cohorts and scientists predominantly located in medium-to-high socioeconomically ranked countries; apart from East Asians (~5%), other ethnicities rarely feature in published GWAS. See: https://hugofitipaldi.shinyapps.io/gwas_results/ to browse all results. CONCLUSION Most GWAS cohorts are of European ancestry residing outside the United States, with a smaller yet meaningful proportion of East Asian ancestry. Papers describing GWAS research are predominantly authored by male scientists based in medium-to-high income countries.
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Affiliation(s)
- Hugo Fitipaldi
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Lund University, 21428 Malmo, Sweden
| | - Paul W Franks
- To whom correspondence should be addressed at: Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Lund University, Hus 91 plan 12, Jan Waldenströms gata 35, 214 28 Malmö, Sweden. Tel/Fax: +45 20 63 23 50;
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Bouzas C, Bibiloni MDM, Garcia S, Mateos D, Martínez-González MÁ, Salas-Salvadó J, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía P, Vidal J, Vázquez C, Daimiel L, Ros E, Pascual-Roquet-Jalmar E, Babio N, Gonzalez-Monge I, Castañer O, Abete I, Sorto-Sánchez C, Carlos Benavente-Marín J, Torres-Collado L, Martin M, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Fernandez-Lazaro CI, Salas-Huetos A, Guillem-Saiz P, Zomeño MD, Ángeles Zulet M, Goikoetxea-Bahon A, Gea A, Nishi SK, Schröder H, Tur JA. Desired weight loss and its association with health, health behaviors and perceptions in an adult population with weight excess: One-year follow-up. Front Nutr 2022; 9:848055. [PMID: 35938116 PMCID: PMC9355147 DOI: 10.3389/fnut.2022.848055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 06/27/2022] [Indexed: 01/10/2023] Open
Abstract
BackgroundMetabolic syndrome (MetS) worsens quality of life and increases mortality. Dissatisfaction with weight in patients with MetS may modify the effect of lifestyle interventions to achieve changes in health-related behaviors.ObjectiveTo assess 1-year changes in cardiovascular risk scores, self-perceived general health and health-related behaviors according to observed changes in desired weight loss during the first year of intervention in a large cardiovascular prevention trial.DesignProspective analysis of the PREDIMED-PLUS trial, including 5,499 adults (55–75 years old) with overweight or obesity at baseline.MethodsThe desired weight loss was the difference between ideal and measured weight. Tertiles of change in desired weight loss (1 year vs. baseline) were defined by the following cut-off points: ≥0.0 kg (T1, n = 1,638); 0.0 to −4.0 kg (T2, n = 1,903); ≤−4.0 kg (T3, n = 1,958). A food frequency questionnaire assessed diet and the Minnesota-REGICOR questionnaire assessed physical activity. The Framingham equation assessed cardiovascular risks. The changes in the severity of MetS were also assessed. The Beck Depression Inventory assessed depressive symptoms and the SF-36 assessed health-related quality of life. Data were analyzed using general linear models.ResultsBMI decreased at T2 and T3 (T1: 0.3, T2: −0.7, T3: −1.9). The most significant improvement in diet quality was observed at T3. Cardiovascular risk decreased at T2 and T3. Mean reductions in MetS severity score were: −0.02 at T1, −0.39 at T2 and −0.78 at T3. The perception of physical health increases in successive tertiles.ConclusionsIn older adults with MetS, more ambitious desired weight loss goals were associated with improvements in diet, cardiovascular health and perceived physical health during the first year of a healthy lifestyle intervention programme. Weight dissatisfaction needs to be considered by health professionals.Clinical trial registrationhttp://www.isrctn.com/ISRCTN89898870, identifier 89898870.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Maria del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Silvia Garcia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - David Mateos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Tarragona, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiometabolics Precision Nutrition Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Campus Excelencia Internacional (CEI UAM + CSIC), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- Department of Medicine, University of the Basque Country, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Vicente Martín-Sánchez
- CIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - José J. Gaforio
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Fundación Para la Investigación Biomedica de El Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, Campus Excelencia Internacional (CEI UAM + CSIC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Elena Pascual-Roquet-Jalmar
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Atención Primaria, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Tarragona, Spain
| | | | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
| | - Carolina Sorto-Sánchez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- Department of Medicine, University of the Basque Country, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Juan Carlos Benavente-Marín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marian Martin
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Jose C. Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Cesar I. Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
| | - Albert Salas-Huetos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Tarragona, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - María Dolores Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Maria Ángeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
| | - Amaia Goikoetxea-Bahon
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- Department of Medicine, University of the Basque Country, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IDISNA), University of Navarra, Pamplona, Spain
| | - Stephanie K. Nishi
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Tarragona, 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), Madrid, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- *Correspondence: Josep A. Tur
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Type 2 Diabetes Mellitus and Cancer: Epidemiology, Physiopathology and Prevention. Biomedicines 2021; 9:biomedicines9101429. [PMID: 34680546 PMCID: PMC8533606 DOI: 10.3390/biomedicines9101429] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 09/29/2021] [Accepted: 10/05/2021] [Indexed: 01/01/2023] Open
Abstract
Individuals with type 2 diabetes mellitus are at greater risk of developing cancer and of dying from it. Both diseases are age-related, contributing to the impact of population aging on the long-term sustainability of health care systems in European Union countries. The purpose of this narrative review was to describe, from epidemiological, pathophysiological and preventive perspectives, the links between type 2 diabetes mellitus and the most prevalent cancers in these patients. Multiple metabolic abnormalities that may occur in type 2 diabetes mellitus, particularly obesity, could explain the increased cancer risk. In addition, the effectiveness of drugs commonly used to treat type 2 diabetes mellitus (e.g., metformin and thiazolidinediones) has been broadly evaluated in cancer prevention. Thus, a better understanding of the links between type 2 diabetes mellitus and cancer will help to identify the contributing factors and the pathophysiological pathways and to design personalized preventive strategies. The final goal is to facilitate healthy aging and the prevention of cancer and other diseases related with type 2 diabetes mellitus, which are among the main sources of disability and death in the European Union and worldwide.
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Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial. Nutrients 2020; 12:nu12103023. [PMID: 33023132 PMCID: PMC7600377 DOI: 10.3390/nu12103023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 09/27/2020] [Accepted: 09/30/2020] [Indexed: 02/07/2023] Open
Abstract
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible to improve significantly their dietary quality, assessed by adherence to Mediterranean diet, DII and both healthful and unhealthful provegetarian patterns. People at maximum weight are the most benefitted in the short term by a weight management program. Long term weight loss efforts may also reduce the effect of a weight management program.
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Guang Y, Yuzhong L, Hui L. A grading system from health to death using routine experimental indicators based on the pre-chronic disease status theory. BMC Geriatr 2020; 20:250. [PMID: 32689964 PMCID: PMC7372797 DOI: 10.1186/s12877-020-01653-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 07/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To establish a system for assessing pre-chronic disease status (PCDS) whereby changes in biomolecule levels occur before the appearance of physical damage to body organs. We based our study on the common biomarkers of aging, disease and end-of-life processes. METHODS The red blood cell count as well as levels of albumin, creatinine and aspartate aminotransferase were used as indicators for measurement. The basic premise for determining PCDS was that the measured value was outside the reference range for a healthy individual. A binary outcome was determined according to reference range given by the laboratory undertaking the measurements. The Biological Age Index (BAI) was used to ascertain PCDS. RESULTS The four indictors that we chose were sensitive for end-of-life and aging. The BAI score for each age group increased significantly with increasing age. The BAI score of patients with cardiac disease, cerebrovascular disease, cancer or chronic obstructive pulmonary disease were mostly higher than those in healthy age-matched people. CONCLUSION A system for assessing PCDS centered on biomolecular detection and independent of the pathologic diagnosis could be effective.
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Affiliation(s)
- Yang Guang
- College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China
| | - Li Yuzhong
- College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China
| | - Liu Hui
- College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
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11
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Bouzas C, Bibiloni MDM, Julibert A, Ruiz-Canela M, Salas-Salvadó J, Corella D, Zomeño MD, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, García Ríos A, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Fernandez-Lázaro CI, Becerra-Tomás N, Gimenez-Alba IM, Muñoz J, Morey M, Oncina-Canovas A, Tojal-Sierra L, Pérez-López J, Abete I, Casañas-Quintana T, Castro-Barquero S, Bernal-López MR, Santos-Lozano JM, Galera A, Angullo-Martinez E, Basterra-Gortari FJ, Basora J, Saiz C, Castañer O, Martín M, Notario-Barandiarán L, Belló-Mora MC, Sayón-Orea C, García-Gavilán J, Goday A, Tur JA. Adherence to the Mediterranean Lifestyle and Desired Body Weight Loss in a Mediterranean Adult Population with Overweight: A PREDIMED-Plus Study. Nutrients 2020; 12:nu12072114. [PMID: 32708828 PMCID: PMC7400596 DOI: 10.3390/nu12072114] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/03/2020] [Accepted: 07/09/2020] [Indexed: 01/02/2023] Open
Abstract
Background. Body weight dissatisfaction is a hindrance to following a healthy lifestyle and it has been associated with weight concerns. Objectives. The aim of this study was to assess the association between the adherence to the Mediterranean lifestyle (diet and exercise) and the desired body weight loss in an adult Mediterranean population with overweight. Methods. Cross-sectional analysis in 6355 participants (3268 men; 3087 women) with metabolic syndrome and BMI (Body mass index) between 27.0 and 40.0 kg/m2 (55–75 years old) from the PREDIMED-Plus trial. Desired weight loss was the percentage of weight that participants wished to lose. It was categorized into four cut-offs of this percentage (Q1: <10%, n = 1495; Q2: 10–15%, n = 1804; Q3: <15–20%, n = 1470; Q4: ≥20%, n = 1589). Diet was assessed using a validated food frequency questionnaire and a 17-item Mediterranean diet questionnaire. Physical activity was assessed by the validated Minnesota-REGICOR and the validated Spanish version of the Nurses’ Health Study questionnaire. Results. Participants reporting higher percentages of desired weight loss (Q3 and Q4) were younger, had higher real and perceived BMI and were more likely to have abdominal obesity. Desired weight loss correlated inversely to physical activity (Q1: 2106 MET min/week; Q4: 1585 MET min/week. p < 0.001) and adherence to Mediterranean diet (Q1: 8.7; Q4: 8.3. p < 0.001). Conclusions. In older Mediterranean individuals with weight excess, desired weight loss was inversely associated with Mediterranean lifestyle adherence. Deeply rooted aspects of the MedDiet remained similar across groups. Longitudinal research is advised to be able to establish causality.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Alicia Julibert
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Maria Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08022 Barcelona, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Antonio García Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Health Sciences, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, University of Jaen, 23071 Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Vicente Martín-Sánchez
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Cesar Ignacio Fernandez-Lázaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Julia Muñoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Marga Morey
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Alejandro Oncina-Canovas
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Lucas Tojal-Sierra
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Tamara Casañas-Quintana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - M. Rosa Bernal-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Ana Galera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Escarlata Angullo-Martinez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Escola Graduada Primary Health Care Center, IBSalut, 07002 Palma de Mallorca, Spain
| | - F. Javier Basterra-Gortari
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea, 31071 Pamplona, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Marian Martín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Leyre Notario-Barandiarán
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - María C. Belló-Mora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Carmen Sayón-Orea
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea, 31071 Pamplona, Spain
| | - Jesús García-Gavilán
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Correspondence: ; Tel.: +34-971-1731; Fax: +34-971-173184
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Shojaei E, Wong A, Rexachs D, Epelde F, Luque E. A Method for Projections of the Emergency Department Behaviour by Non-Communicable Diseases From 2019 to 2039. IEEE J Biomed Health Inform 2020; 24:2490-2498. [PMID: 32396109 DOI: 10.1109/jbhi.2020.2990343] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In this paper, a new method for prediction of future performance and demand on emergency department (ED) in Spain is presented. Increased life expediency and population aging in Spain, along with their corresponding health conditions such as non-communicable diseases (NCDs), have been suggested to contribute to higher demands on ED. These lead to inferior performance of the department and cause longer ED length of stay (LoS). Prediction and quantification of behavior of ED is, however, challenging as ED is one of the most complex parts of hospitals. Using detailed computational approaches integrated with clinical data behavior of Spain's ED in future years was predicted. First, statistical models were developed to predict how the population and age distribution of patients with non-communicable diseases change in Spain in future years. Then, an agent-based modeling approach was used for simulation of the emergency department to predict impacts of the changes in population and age distribution of patients with NCDs on the performance of ED, reflected in ED LoS, between years 2019 and 2039. Results from different projection scenarios indicated that Spain would experience a continuous increase in total ED LoS from 5.7 million hours in 2019 to 6.2 million hours in 2039 if same human and physical resources, as well as same ED configuration, are used. The results from this study can provide health care provider with quantitative information on required staff and physical resources in the future and allow health care policymakers to improve modifiable factors contributing to the demand and performance of ED.
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Hui L. Two Time Point Analysis of the Change in Risk and Aging Factors for Major Cancers: A 10-Year Longitudinal Study in China. BIOMED RESEARCH INTERNATIONAL 2020; 2020:9043012. [PMID: 32462031 PMCID: PMC7229547 DOI: 10.1155/2020/9043012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 04/17/2020] [Accepted: 04/23/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To quantify the change in risk and aging factors with a two time point analysis for major cancers to assess supportive strategies. METHODS The 2004 and 2015 mortality statistics in China were accessed. The standardized mortality rates of the two periods were used to calculate the ratio of change (RC) value to assess the risk of death associated with time (social development with time) for cancers. The role of age in mortality with time was evaluated by the interaction between time and age using a Poisson regression. RESULTS In ascending order of RC, the factors were uterus; other malignant neoplasms; esophagus; stomach; skin; liver; leukemia; "lip, oral cavity, and pharynx"; bladder; "colon and rectum"; breast; prostate; lung; ovary; pancreas; "lymphoid, hematopoietic, and related tissue"; and cervix cancers. According to their location on the scatter diagram, the 17 neoplasms could be divided into three groups, comprising undeveloped cancers (including four cancers), developed cancers (including three cancers), and cancers insensitive to social development. Unexpectedly, about 60% (as assessed by type of cancer) and two-thirds (as assessed by constituent ratio of death from all cancers) of cancers did not change with time. CONCLUSIONS Most cancers may be insensitive to social development. Internal factors, including aging, may be a key factor for the occurrence of cancer.
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Affiliation(s)
- Liu Hui
- Department of Clinical Immunology, Dalian Medical University, Dalian 116044, China
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Heredity Indexes for Estimating Heritability Using Known and Unknown Family Data Based on the Model of Polygenic Inheritance. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2020; 2020:7243976. [PMID: 32300373 PMCID: PMC7142385 DOI: 10.1155/2020/7243976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/05/2020] [Indexed: 01/18/2023]
Abstract
Objective To establish a model for estimating genetic risk using known and unknown family data. Methods Four simulated datasets were generated for four paternal and maternal chromosomes. The simulated data for children were generated from the parental data according to the Mendelian law. The correlation coefficient between the children's and paternal data was calculated, and 2R was defined as the heredity index for continuous data (HIC). The simulated continuous data were transformed into binary data according to the gene accumulation threshold (incidence); the incidences of children in the parental no-disease group and the disease onset group were obtained; the correlation coefficient (R) was calculated as expected R (Re). The ratio of observed R (Ro) and Re was defined as the Heredity index for binary data (HIB). Results Different actual pedigree data (lunula and holding a hammer in the right or left hand) were successfully used to verify the accuracy of the model. The genetic risk was estimated according to the incidence in a population using a lookup table. Conclusion Our findings indicate the reliability of the model based on the fact that the multigene effect constitutes the normal distribution. Thus, this model can be used for comprehensive analysis of the influence of genetic and nongenetic factors on the genetic phenotype and to estimate genetic risk using known and unknown family data.
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Bouzas C, Bibiloni MDM, Tur JA. Relationship between Body Image and Body Weight Control in Overweight ≥55-Year-Old Adults: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091622. [PMID: 31075869 PMCID: PMC6540116 DOI: 10.3390/ijerph16091622] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 04/27/2019] [Accepted: 05/07/2019] [Indexed: 12/15/2022]
Abstract
Objective: To assess the scientific evidence on the relationship between body image and body weight control in overweight ≥55-year-old adults. Methods: The literature search was conducted on MEDLINE database via PubMed, using terms related to body image, weight control and body composition. Inclusion criteria were scientific papers, written in English or Spanish, made on older adults. Exclusion criteria were eating and psychological disorders, low sample size, cancer, severe diseases, physiological disorders other than metabolic syndrome, and bariatric surgery. Results: Fifty-seven studies were included. Only thirteen were conducted exclusively among ≥55-year-old adults or performed analysis adjusted by age. Overweight perception was related to spontaneous weight management, which usually concerned dieting and exercising. More men than women showed over-perception of body image. Ethnics showed different satisfaction level with body weight. As age increases, conformism with body shape, as well as expectations concerning body weight decrease. Misperception and dissatisfaction with body weight are risk factors for participating in an unhealthy lifestyle and make it harder to follow a healthier lifestyle. Body image disturbance also made it more likely to underreport calorie intake. Conclusions: Aging is associated with a decrease in weight concerns and lower overweight perception, especially in women. However, when designing a program to improve body image in overweight ≥55-year-old adults, three items ought to be considered: physical activity, dietary and behavioral treatments.
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Affiliation(s)
- Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
| | - Maria Del Mar Bibiloni
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
| | - Josep A Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
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Braicu C, Zimta AA, Gulei D, Olariu A, Berindan-Neagoe I. Comprehensive analysis of circular RNAs in pathological states: biogenesis, cellular regulation, and therapeutic relevance. Cell Mol Life Sci 2019; 76:1559-1577. [PMID: 30805658 PMCID: PMC11105679 DOI: 10.1007/s00018-019-03016-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 11/14/2018] [Accepted: 01/15/2019] [Indexed: 02/06/2023]
Abstract
Circular RNAs (circRNAs) are members of the non-coding transcriptome; however, some of them are translated into proteins. These transcripts have important roles in both physiological and pathological mechanisms due to their ability to directly influence cellular signaling pathways. Specifically, circRNAs are regulators of transcription, translation, protein interaction, and signal transduction. An increased knowledge within their area is observed over the last few years, concomitant with the development of next-generation sequencing techniques. circRNAs are mostly tissue and disease specific with the ability of specifically changing the biological behavior of cells. The altered expression profile is currently investigated as novel minimally invasive diagnosis/prognosis tool and also therapeutic target in human disease. The diagnosis approach is based on their level modification within pathological states, especially cancer, where circRNAs' therapies are intensively explored in anti-aging strategies, diabetes, cardiovascular diseases, and malignant pathologies, and are relying on the restoration of homeostatic profiles.
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Affiliation(s)
- Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania.
| | - Andreea-Alina Zimta
- MEDFUTURE-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania
| | - Diana Gulei
- MEDFUTURE-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania
| | - Andrei Olariu
- Nordlogic Software, 10-12, Rene Descartes Street, 400486, Cluj-Napoca, Romania
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania.
- MEDFUTURE-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 23 Marinescu Street, 400337, Cluj-Napoca, Romania.
- Department of Functional Genomics and Experimental Pathology, "Prof. Dr. Ion Chiricuta" The Oncology Institute, 34-36 Republicii Street, 400015, Cluj-Napoca, Romania.
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Hui L. Quantifying the effects of aging and urbanization on major gastrointestinal diseases to guide preventative strategies. BMC Gastroenterol 2018; 18:145. [PMID: 30285652 PMCID: PMC6171196 DOI: 10.1186/s12876-018-0872-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 09/25/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND This study aimed to quantify the effects of aging and urbanization on major gastrointestinal disease (liver cirrhosis, hepatitis B, diarrhea, liver cancer, stomach cancer, pancreas cancer, hepatitis C, esophagus cancer, colon/rectum cancer, gastrointestinal ulcers, diabetes, and appendicitis). METHODS We accessed 2004 and 2011 mortality statistics from the most developed cities and least developed rural areas in China using a retrospective design. The relative risk of death associated with urbanization and age was quantified using Generalized linear model (the exp.(B) from model is interpreted as the risk ratio; the greater the B, the greater the impact of urbanized factors or aging factor or effect of aging factor with urbanization). The interaction between region (cities and rural areas) and age was considered as indicator to assess role of age in mortality with urbanization. RESULTS Greater risk of disease with urbanization were, in ascending order, for diabetes, colon/rectum cancer, hepatitis C and pancreas cancer. Stronger the effect of aging with urbanization were, in ascending order, for stomach cancer, ulcer, liver cancer, colon/rectum cancer, pancreas cancer, diabetes, hepatitis C, appendicitis and diarrhea. When the effects of aging and urbanization on diseases were taken together as the dividing value, we were able to further divide the 12 gastrointestinal diseases into three groups to guide the development of medical strategies. CONCLUSIONS It was suggested that mortality rate for most gastrointestinal diseases was sensitive to urbanization and control of external risk factors could lead to the conversion of most gastrointestinal disease.
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Affiliation(s)
- Liu Hui
- Department of Clinical Immunology, Dalian Medical University, Dalian, 116044, People's Republic of China.
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