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Maestre-Miquel C, López-de-Andrés A, Perez-Farinos N, Jimenez-Sierra A, Benavente-Marin JC, López-González Á, Viñuela-Sanchez A, Jiménez-Garcia R. Prevalence and Factors Related to Physical Activity in Spanish Adults with Obesity and Overweight: Analysis of the European Health Surveys for the Years 2014 and 2020. Healthcare (Basel) 2024; 12:1382. [PMID: 39057525 PMCID: PMC11276508 DOI: 10.3390/healthcare12141382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Background: To analyze the prevalence of physical activity (PA) according to the presence of overweight or obesity and other sociodemographic factors in the Spanish adult population. (2) Methods: Cross-sectional study using the European Health Interview Surveys for Spain from 2014 and 2020. (3) Results: In overweight and obese people, the percentage of those who reported not performing any type of PA remained constant between 2014 and 2020, while a statistically significant increase was observed in the percentage of people who walked for 10 min a day and exercised at least 2 days a week. The probability of being obese with respect to normal weight was higher in individuals who reported not engaging in PA during leisure time (OR 1.42; 95% CI 1.31-1.53), those who did not walk 10 min a day at least 2 days a week (OR 1.25; 95% CI 1.15-1.35), and those who did not exercise at least 2 days a week (OR 1.42; 95% CI 1.32-1.53). The probability of being overweight was higher in individuals who reported not performing PA during leisure time (OR 1.07; 95% CI 1.02-1.15) and in those who did not exercise at least 2 days per week (OR 1.15; 95% CI 1.09-1.22). (4) Conclusions: Small increases in PA have been observed in both overweight and obese individuals from 2014 to 2020.
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Affiliation(s)
- Clara Maestre-Miquel
- Departamento de Enfermería, Fisioterapia y Terapia Ocupacional, Universidad de Castilla-la Mancha, 13001 Ciudad Real, Spain; (C.M.-M.); (Á.L.-G.); (A.V.-S.)
| | - Ana López-de-Andrés
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Napoleón Perez-Farinos
- EpiPHAAN Research Group, Universidad de Málaga–Instituto de Investigación Biomédica de Málaga (IBIMA), 29590 Málaga, Spain; (N.P.-F.); (J.C.B.-M.)
| | | | - Juan Carlos Benavente-Marin
- EpiPHAAN Research Group, Universidad de Málaga–Instituto de Investigación Biomédica de Málaga (IBIMA), 29590 Málaga, Spain; (N.P.-F.); (J.C.B.-M.)
| | - Ángel López-González
- Departamento de Enfermería, Fisioterapia y Terapia Ocupacional, Universidad de Castilla-la Mancha, 13001 Ciudad Real, Spain; (C.M.-M.); (Á.L.-G.); (A.V.-S.)
| | - Antonio Viñuela-Sanchez
- Departamento de Enfermería, Fisioterapia y Terapia Ocupacional, Universidad de Castilla-la Mancha, 13001 Ciudad Real, Spain; (C.M.-M.); (Á.L.-G.); (A.V.-S.)
| | - Rodrigo Jiménez-Garcia
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain;
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Gómez-Sánchez L, Gómez-Sánchez M, Tamayo-Morales O, Lugones-Sánchez C, González-Sánchez S, Martí-Lluch R, Rodríguez-Sánchez E, García-Ortiz L, Gómez-Marcos MA. Relationship between the Mediterranean Diet and Metabolic Syndrome and Each of the Components That Form It in Caucasian Subjects: A Cross-Sectional Trial. Nutrients 2024; 16:1948. [PMID: 38931300 PMCID: PMC11207079 DOI: 10.3390/nu16121948] [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: 05/21/2024] [Revised: 06/07/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
The main objective of this work is to investigate the relationship between the Mediterranean diet (MD) and metabolic syndrome (MetS) and its components in Caucasian subjects between 35 and 74 years. The secondary objective is to analyze sex differences. METHODS A cross-sectional trial. This study utilized data from the EVA, MARK, and EVIDENT studies, and a total of 3417 subjects with a mean age ± SD of 60.14 ± 9.14 years (57% men) were included. We followed the five criteria established in the National Cholesterol Education Program III to define MetS. The MD was assessed with the 14-item Mediterranean diet adherence screener (MEDAS) used in the PREDIMED study. Good adherence was considered when the MD value was higher than the median value. RESULTS The mean ± SD value of the MEDAS questionnaire was 5.83 ± 2.04 (men 5.66 ± 2.06 and women 6.04 ± 1.99; p < 0.001). Adherence to the MD was observed by 38.6% (34.3% men and 40.3% women; p < 0.001). MetS was observed in 41.6% (39.0% men and 45.2% women; p < 0.001). In the multiple regression analysis, after adjusting for possible confounders, the mean MD value showed a negative association with the number of MetS components per subject (β = -0.336), and with the different components of MetS: systolic blood pressure (β = -0.011), diastolic blood pressure (β = -0.029), glycemia (β = -0.009), triglycerides (β = -0.004), and waist circumference (β = -0.026), except with the HDL-cholesterol value which showed a positive association (β = 0.021); p < 0.001 in all cases. In the logistic regression analysis performed, we found that an increase in MD adherence was associated with a decrease in the probability of MetS (OR = 0.56) and its components: blood pressure levels ≥ 130/85 mmHg (OR = 0.63), fasting plasma glucose ≥ 100 mg/dL (OR = 0.62), triglyceride levels ≥ 150 mg/dL (OR = 0.65), waist circumference levels ≥ 88 cm in women and ≥102 cm in men (OR = 0.74), and increased high-density lipoprotein cholesterol < 40 mg/dL in men and <50 mg/dL in women (OR = 1.70); p < 0.001 in all cases. The results by sex were similar, both in multiple regression and logistic regression. CONCLUSIONS The results found in our work indicate that the greater the adherence to the MD, the lower the probability of presenting MetS. This result is repeated in the study by sex. More studies are needed to clarify that these results can be extended to the rest of the Mediterranean countries, and to other countries outside the Mediterranean basin.
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Affiliation(s)
- Leticia Gómez-Sánchez
- Emergency Service, University Hospital of La Paz P. of Castellana, 261, 28046 Madrid, Spain
| | - Marta Gómez-Sánchez
- Home Hospitalization Service, Marqués of Valdecilla University Hospital, s/n, 39008 Santander, Spain;
| | - Olaya Tamayo-Morales
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
| | - Cristina Lugones-Sánchez
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
| | - Susana González-Sánchez
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
| | - Ruth Martí-Lluch
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
- Vascular Health Research Group, Instituto Universitario para la Investigación en Atención Primaria de Salud Jordi Gol i Gurina (IDIAPJGol), 08007 Girona, Spain
- Girona Biomedical Research Institute (IDIBGI), Doctor Trueta University Hospital, 17190 Girona, Spain
- Department of Medical Science, Faculty of Medicine, University of Girona (UdG), 17003 Girona, Spain
| | - Emiliano Rodríguez-Sánchez
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
- Department of Medicine, University of Salamanca, 28046 Salamanca, Spain
| | - Luis García-Ortiz
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
- Department of Biomedical and Diagnostic Sciences, University of Salamanca, 37007 Salamanca, Spain
| | - Manuel A. Gómez-Marcos
- Primary Care Research Unit of Salamanca (APISAL), Salamanca Primary Care Management, Institute of Biomedical Research of Salamanca (IBSAL), 37005 Salamanca, Spain; (O.T.-M.); (C.L.-S.); (S.G.-S.); (E.R.-S.); (L.G.-O.)
- Castilla and León Health Service-SACYL, Regional Health Management, 37005 Salamanca, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 37005 Salamanca, Spain;
- Department of Medicine, University of Salamanca, 28046 Salamanca, Spain
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Brown RCC, Coombes JS, Conley MM, Webb L, Mayr HL, Isbel NM, Jegatheesan DK, Macdonald GA, Burton NW, Kelly JT, Hickman IJ, Keating SE. Evaluating the Potential of a Novel Metabolic Syndrome Severity Score to Inform Exercise Interventions for People with Complex Chronic Conditions. Metab Syndr Relat Disord 2024. [PMID: 38801006 DOI: 10.1089/met.2024.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
Aims: Exercise interventions positively affect numerous cardiometabolic risk factors. To better evaluate the health effects of exercise training, it may be more appropriate to evaluate risk factors together. The Metabolic Syndrome Severity Score (MetSSS) is a composite score representing cardiometabolic risk. Purpose: To evaluate the relationships between physical activity, neuromuscular fitness, exercise capacity, and the MetSSS in a heterogenous sample of people with complex chronic disease. Material and Methods: Fifty-three people with kidney or liver disease and at least one feature of the metabolic syndrome (MetS) were included. Pearson correlations were conducted between physical activity, neuromuscular fitness, exercise capacity, and the MetSSS. Linear regressions were performed for multi-level categorical variables. Independent variables with an association with MetSSS (P ≤ 0.2) were included in a multiple regression analysis. Results: The 6-minute walk test (6MWT) distance was inversely and independently associated with MetSSS [standardized beta coefficient (β) = -0.31, P = 0.04]. No relationship was found between MetSSS and physical activity or neuromuscular fitness. Mean 6MWT in the highest tertile was 550 m (range: 505-620 m) and 346 m (range: 233-408 m) in the lowest. The analysis showed a medium-large between-group effect for the difference in MetSSS for the lowest and highest tertile of 6MWT [Eta squared (η2) = 0.16, P = 0.01]. Conclusions: Exercise capacity was inversely and independently associated with MetSSS in people with complex chronic disease. Clinical trials with exercise interventions are needed to further investigate if improvements in exercise capacity result in clinically significant changes in the MetSSS.
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Affiliation(s)
- Riley C C Brown
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
- Centre for Research on Exercise, Physical Activity & Health, The University of Queensland, Brisbane, Australia
| | - Jeff S Coombes
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
- Centre for Research on Exercise, Physical Activity & Health, The University of Queensland, Brisbane, Australia
| | - Marguerite M Conley
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, Australia
| | - Lindsey Webb
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, Australia
| | - Hannah L Mayr
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Centre for Functioning and Health Research, Metro South Health, Brisbane, Australia
| | - Nicole M Isbel
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Nephrology, Princess Alexandra Hospital, Brisbane, Australia
| | - Dev K Jegatheesan
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Nephrology, Princess Alexandra Hospital, Brisbane, Australia
| | - Graeme A Macdonald
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Translational Research Institute, Brisbane, Australia
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Australia
| | - Nicola W Burton
- School of Applied Psychology, Griffith University, Brisbane, Australia
- Menzies Health Institute Queensland, Griffith University, Queensland, Australia
- Centre for Mental Health, Griffith University, Brisbane, Australia
| | - Jaimon T Kelly
- Centre for Online Health, The University of Queensland, Brisbane, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Australia
| | - Ingrid J Hickman
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Shelley E Keating
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
- Centre for Research on Exercise, Physical Activity & Health, The University of Queensland, Brisbane, Australia
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Monserrat-Mesquida M, Quetglas-Llabrés MM, Bouzas C, García S, Mateos D, Ugarriza L, Gómez C, Tur JA, Sureda A. Effects of Regular Exercise on the Biochemical, Oxidative, and Inflammatory Profiles and Quality of Life in Older Spaniards with Metabolic Syndrome. Antioxidants (Basel) 2024; 13:450. [PMID: 38671898 PMCID: PMC11047339 DOI: 10.3390/antiox13040450] [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: 03/23/2024] [Revised: 04/05/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Metabolic syndrome increases the risk of developing diabetes and cardiovascular disease. The regular practice of physical activity is a crucial factor for healthy aging and for controlling and preventing chronic diseases. To assess the effects of regular physical activity on the biochemical and inflammatory profiles, as well as the quality of life of older adults diagnosed with metabolic syndrome. Participants (aged 55-70 years; living in the Balearic Islands, Spain) were divided into two groups (n = 50 each) according to the degree of physical activity measured by metabolic equivalents of task (METs). Anthropometric parameters, blood pressure, biochemical and hematological parameters, and inflammatory biomarkers were measured. Beck Depression Inventory and adherence to the Mediterranean diet questionnaires, as well as the Dietary Inflammatory Index, chair test, health-related quality of life (HRQoL), and Rapid Assessment of Physical Activity, were also determined. The characterization of the patients was similar in both groups, showing a homogeneous sample. The group with the highest METs experienced a decrease in depression and an increase in the intensity of physical activity. Adherence to the Mediterranean diet and HRQoL physical dimensions increased in participants with the highest METs, also showing a decrease in glycemia and glycosylated hemoglobin values. Inflammatory biomarkers, including tumor necrosis factor alpha, interleukin-6, interleukin-1β, and osteoprotegerin, decreased in patients practicing more physical activity. High levels of physical activity are related to a healthier lifestyle, characterized by high adherence to the Mediterranean diet, decreased depressive behavior, oxidative stress, and inflammatory status in older people with metabolic syndrome.
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Affiliation(s)
- Margalida Monserrat-Mesquida
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria Magdalena Quetglas-Llabrés
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Silvia García
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - David Mateos
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Lucía Ugarriza
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- C.S. Camp Redó, IBSalut, 07010 Palma de Mallorca, Spain
| | - Cristina Gómez
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Clinical Analysis Service, University Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Antoni Sureda
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.)
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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5
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Lin JJ, Dai PY, Zhang J, Guan YQ, Gong WW, Yu M, Fang L, Hu RY, He QF, Li N, Wang LX, Liang MB, Zhong JM. Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults. Front Endocrinol (Lausanne) 2024; 15:1341546. [PMID: 38654930 PMCID: PMC11036864 DOI: 10.3389/fendo.2024.1341546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Objective This study aimed to quantify the severity of metabolic syndrome(MetS) and investigate its association with cardiovascular disease(CVD) risk on Chinese adults. Methods 13,500 participants from the Zhejiang Adult Chronic Disease Study were followed up between 2010 and 2021. A continuous MetS severity score derived from the five components of MetS was used to quantify MetS severity, and the association between MetS severity and the risk of incident CVD was assessed using Cox proportional hazard and restricted cubic spline regression. Results Both the presence and severity of MetS were strongly associated with CVD risk. MetS was related to an increased risk of CVD (hazard ratio(HR):1.700, 95% confidence interval(CI): 1.380-2.094). Compared with the hazard ratio for CVD in the lowest quartile of the MetS severity score, that in the second, third, and highest quartiles were 1.812 (1.329-2.470), 1.746 (1.265-2.410), and 2.817 (2.015-3.938), respectively. A linear and positive dose-response relationship was observed between the MetS severity and CVD risk (P for non-linearity = 0.437). Similar results were found in various sensitivity analyses. Conclusion The MetS severity score was significantly associated with CVD risk. Assessing MetS severity and further ensuring intervention measures according to the different severities of MetS may be more useful in preventing CVD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Jie-ming Zhong
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Ramírez Gallegos I, Marina Arroyo M, López-González ÁA, Vicente-Herrero MT, Vallejos D, Sastre-Alzamora T, Ramírez-Manent JI. The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers. Nutrients 2024; 16:1082. [PMID: 38613115 PMCID: PMC11013770 DOI: 10.3390/nu16071082] [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: 03/14/2024] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Cardiovascular and metabolic diseases include a large group of pathologies and constitute one of the most serious chronic health problems facing the 21st century, with high rates of morbidity and mortality worldwide. Unhealthy diets influence the development of these pathologies. The Mediterranean diet can be an important part in the treatment of these diseases. The objective of this study was to assess the effect of a program that aims to increase adherence to the Mediterranean diet on the improvement of different cardiometabolic risk parameters. METHODS A prospective intervention study was carried out on 7034 Spanish workers. Prior to the intervention, 22 cardiometabolic risk scales were evaluated. Participants in this study were informed both orally and in writing of the characteristics and benefits of the Mediterranean diet and were given the website of the Ministry of Health, Consumption and Social Welfare of Spain, which provides advice on nutrition. Adherence to the Mediterranean diet was reinforced by sending a monthly SMS to their mobile phones. After six months of follow-up, the 22 risk scales were re-evaluated to assess changes. Means and standard deviations were calculated using Student's t test to analyse quantitative variables. Prevalence was calculated using the Chi-square test when the variables were qualitative. RESULTS All the cardiometabolic risk scales studied decreased after implementing a program to improve and enhance adherence to the Mediterranean diet. The number of losses in the sample was very low, standing at 4.31%. CONCLUSIONS The Mediterranean diet is effective in reducing all cardiovascular risk scales evaluated. The mean values and prevalence of high values of the different cardiometabolic risk scales analysed led to lower values after the implementation of the program to increase adherence to the Mediterranean diet. We observed a significant positive difference in metabolic age in both sexes. We have obtained a significant improvement in the insulin resistance index, especially in the SPISE-IR index, data that we have not found in previous publications. Easy access to the Internet and new information and communication technologies facilitate adherence to a diet and can reduce the number of losses.
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Affiliation(s)
- Ignacio Ramírez Gallegos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Marta Marina Arroyo
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Ángel Arturo López-González
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Faculty of Dentistry, University School ADEMA, 07010 Palma, Balearic Islands, Spain
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
| | - Maria Teófila Vicente-Herrero
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Daniela Vallejos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Tomás Sastre-Alzamora
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - José Ignacio Ramírez-Manent
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
- Faculty of Medicine, University of the Balearic Islands, 07010 Palma, Balearic Islands, Spain
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Sun YD, Zhang H, Li YM, Han JJ. Abnormal metabolism in hepatic stellate cells: Pandora's box of MAFLD related hepatocellular carcinoma. Biochim Biophys Acta Rev Cancer 2024; 1879:189086. [PMID: 38342420 DOI: 10.1016/j.bbcan.2024.189086] [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: 09/25/2023] [Revised: 12/25/2023] [Accepted: 02/06/2024] [Indexed: 02/13/2024]
Abstract
Metabolic associated fatty liver disease (MAFLD) is a significant risk factor for the development of hepatocellular carcinoma (HCC). Hepatic stellate cells (HSCs), as key mediators in liver injury response, are believed to play a crucial role in the repair process of liver injury. However, in MAFLD patients, the normal metabolic and immunoregulatory mechanisms of HSCs become disrupted, leading to disturbances in the local microenvironment. Abnormally activated HSCs are heavily involved in the initiation and progression of HCC. The metabolic disorders and abnormal activation of HSCs not only initiate liver fibrosis but also contribute to carcinogenesis. In this review, we provide an overview of recent research progress on the relationship between the abnormal metabolism of HSCs and the local immune system in the liver, elucidating the mechanisms of immune imbalance caused by abnormally activated HSCs in MAFLD patients. Based on this understanding, we discuss the potential and challenges of metabolic-based and immunology-based mechanisms in the treatment of MAFLD-related HCC, with a specific focus on the role of HSCs in HCC progression and their potential as targets for anti-cancer therapy. This review aims to enhance researchers' understanding of the importance of HSCs in maintaining normal liver function and highlights the significance of HSCs in the progression of MAFLD-related HCC.
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Affiliation(s)
- Yuan-Dong Sun
- Department of Interventional Radiology, Shandong Cancer Hospital and Institute Affiliated Shandong First Medical University, Shandong Academy of Medical Sciences, China
| | - Hao Zhang
- Department of Interventional Radiology, Shandong Cancer Hospital and Institute Affiliated Shandong First Medical University, Shandong Academy of Medical Sciences, China
| | - Yuan-Min Li
- NHC Key Laboratory of Transplant Engineering and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital of Sichuan University, China
| | - Jian-Jun Han
- Department of Interventional Radiology, Shandong Cancer Hospital and Institute Affiliated Shandong First Medical University, Shandong Academy of Medical Sciences, China.
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8
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Filardo S, Roberto M, Di Risola D, Mosca L, Di Pietro M, Sessa R. Olea europaea L-derived secoiridoids: Beneficial health effects and potential therapeutic approaches. Pharmacol Ther 2024; 254:108595. [PMID: 38301769 DOI: 10.1016/j.pharmthera.2024.108595] [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: 10/02/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
Over the years, health challenges have become increasingly complex and global and, at the beginning of the 21st century, chronic diseases, including cardiovascular, neurological, and chronic respiratory diseases, as well as cancer and diabetes, have been identified by World Health Organization as one of the biggest threats to human health. Recently, antimicrobial resistance has also emerged as a growing problem of public health for the management of infectious diseases. In this scenario, the exploration of natural products as supplementation or alternative therapeutic options is acquiring great importance, and, among them, the olive tree, Olea europaea L, specifically leaves, fruits, and oil, has been increasingly investigated for its health promoting properties. Traditionally, these properties have been largely attributed to the high concentration of monounsaturated fatty acids, although, in recent years, beneficial effects have also been associated to other components, particularly polyphenols. Among them, the most interesting group is represented by Olea europaea L secoiridoids, comprising oleuropein, oleocanthal, oleacein, and ligstroside, which display anti-inflammatory, antioxidant, cardioprotective, neuroprotective and anticancer activities. This review provides an overview of the multiple health beneficial effects, the molecular mechanisms, and the potential applications of secoiridoids from Olea europaea L.
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Affiliation(s)
- Simone Filardo
- Department of Public Health and Infectious Diseases, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy
| | - Mattioli Roberto
- Department of Biochemical Sciences, Faculty of Pharmacy and Medicine, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy
| | - Daniel Di Risola
- Department of Biochemical Sciences, Faculty of Pharmacy and Medicine, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy
| | - Luciana Mosca
- Department of Biochemical Sciences, Faculty of Pharmacy and Medicine, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy
| | - Marisa Di Pietro
- Department of Public Health and Infectious Diseases, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy
| | - Rosa Sessa
- Department of Public Health and Infectious Diseases, Sapienza University, p.le Aldo Moro, 5, 00185 Rome, Italy.
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9
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Semnani-Azad Z, Toledo E, Babio N, Ruiz-Canela M, Wittenbecher C, Razquin C, Wang F, Dennis C, Deik A, Clish CB, Corella D, Fitó M, Estruch R, Arós F, Ros E, García-Gavilan J, Liang L, Salas-Salvadó J, Martínez-González MA, Hu FB, Guasch-Ferré M. Plasma metabolite predictors of metabolic syndrome incidence and reversion. Metabolism 2024; 151:155742. [PMID: 38007148 PMCID: PMC10872312 DOI: 10.1016/j.metabol.2023.155742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/19/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Metabolic Syndrome (MetS) is a progressive pathophysiological state defined by a cluster of cardiometabolic traits. However, little is known about metabolites that may be predictors of MetS incidence or reversion. Our objective was to identify plasma metabolites associated with MetS incidence or MetS reversion. METHODS The study included 1468 participants without cardiovascular disease (CVD) but at high CVD risk at enrollment from two case-cohort studies nested within the PREvención con DIeta MEDiterránea (PREDIMED) study with baseline metabolomics data. MetS was defined in accordance with the harmonized International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute criteria, which include meeting 3 or more thresholds for waist circumference, triglyceride, HDL cholesterol, blood pressure, and fasting blood glucose. MetS incidence was defined by not having MetS at baseline but meeting the MetS criteria at a follow-up visit. MetS reversion was defined by MetS at baseline but not meeting MetS criteria at a follow-up visit. Plasma metabolome was profiled by LC-MS. Multivariable-adjusted Cox regression models and elastic net regularized regressions were used to assess the association of 385 annotated metabolites with MetS incidence and MetS reversion after adjusting for potential risk factors. RESULTS Of the 603 participants without baseline MetS, 298 developed MetS over the median 4.8-year follow-up. Of the 865 participants with baseline MetS, 285 experienced MetS reversion. A total of 103 and 88 individual metabolites were associated with MetS incidence and MetS reversion, respectively, after adjusting for confounders and false discovery rate correction. A metabolomic signature comprised of 77 metabolites was robustly associated with MetS incidence (HR: 1.56 (95 % CI: 1.33-1.83)), and a metabolomic signature of 83 metabolites associated with MetS reversion (HR: 1.44 (95 % CI: 1.25-1.67)), both p < 0.001. The MetS incidence and reversion signatures included several lipids (mainly glycerolipids and glycerophospholipids) and branched-chain amino acids. CONCLUSION We identified unique metabolomic signatures, primarily comprised of lipids (including glycolipids and glycerophospholipids) and branched-chain amino acids robustly associated with MetS incidence; and several amino acids and glycerophospholipids associated with MetS reversion. These signatures provide novel insights on potential distinct mechanisms underlying the conditions leading to the incidence or reversion of MetS.
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Affiliation(s)
- Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Nancy Babio
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain.
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Clemens Wittenbecher
- Division of Food and Nutrition Sciences, Department of Biology, Chalmers University of Technology, Gothenburg, Sweden.
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Courtney Dennis
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Amy Deik
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain.
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; IMIM Hospital del Mar Medical Research Institute, Grup de Risc Cardiovascular i Nutrició, Barcelona, Spain.
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
| | - Fernando Arós
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain.
| | - Emilio Ros
- Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
| | - Jesús García-Gavilan
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain.
| | - Miguel A Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), University of Copenhagen, Copenhagen, Denmark.
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10
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Xu Z, Lei X, Chu W, Weng L, Chen C, Ye R. Oxidative balance score was negatively associated with the risk of metabolic syndrome, metabolic syndrome severity, and all-cause mortality of patients with metabolic syndrome. Front Endocrinol (Lausanne) 2024; 14:1233145. [PMID: 38283746 PMCID: PMC10811064 DOI: 10.3389/fendo.2023.1233145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 12/18/2023] [Indexed: 01/30/2024] Open
Abstract
Background The oxidative balance score (OBS), an encompassing scoring mechanism for assessing oxidative stress, is formulated based on nutritional and lifestyle components. The emergence of metabolic syndrome (MetS) is intricately linked to oxidative stress. Nonetheless, the correlation between OBS and MetS displays variability within distinct cohorts. Objective We worked on the relationships between OBS and the risk of MetS, MetS severity, and all-cause mortality of MetS patients. Methods A total of 11,171 adult participants were collected from the U.S. National Health Examination Survey (NHANES) 2007-2018. Employing survey-weighted logistic models, we evaluated the relationship between OBS and MetS risk. Furthermore, survey-weighted linear models were utilized to investigate the connection between OBS and MetS severity. Among the participants, 3,621 individuals had their survival status recorded, allowing us to employ Cox proportional hazards regression models in order to ascertain the association between OBS and the all-cause mortality within the subset of individuals with MetS. The OBS (where a higher OBS signified an increased prevalence of anti- or pro-oxidant exposures) weighed the 20 factors, while the MetS severity score weighed the five factors. Results After multivariable adjustment, individuals with elevated OBS were found to exhibit a decreased susceptibility to MetS [odds ratio (OR) 0.95; 95% CI 0.94-0.96]. The adjusted OR was 0.42 (95% CI 0.33-0.53) for MetS risk in the fourth OBS quartile compared with those in the first OBS quartile (P for trend < 0.001). A one-unit increase in OBS was linked to a 3% reduction in MetS severity score by 3% (mean difference, -0.03; 95% CI, -0.04 to -0.03). Moreover, increased OBS correlated with decreased hazard of all-cause mortality risk among MetS subjects (adjusted hazard ratio, 0.95; 95% CI, 0.93-0.98). These associations retained their strength even subsequent to the introduction of sensitivity analyses. There existed a statistically significant negative correlation between diet/lifestyle OBS and both MetS risk as well as MetS severity. Conclusions An inverse correlation was observed between OBS and the susceptibility to MetS, MetS severity, and all-cause mortality of MetS patients. Health outcomes for MetS patients were positively related to antioxidant diets and lifestyles.
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Affiliation(s)
- Zhixiao Xu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiong Lei
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Weiwei Chu
- Department of Pulmonary and Critical Care Medicine, The Lu ‘an People’s Hospital of Anhui Province, The Lu ‘an Hospital Affiliated to Anhui Medical University, Lu ‘an, China
| | - Luoqi Weng
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chengshui Chen
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, China
| | - Ran Ye
- Department of Ultrasonography, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
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11
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Perez-Diaz C, Uriz-Martínez M, Ortega-Rico C, Leno-Duran E, Barrios-Rodríguez R, Salcedo-Bellido I, Arrebola JP, Requena P. Phthalate exposure and risk of metabolic syndrome components: A systematic review. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 340:122714. [PMID: 37844863 DOI: 10.1016/j.envpol.2023.122714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/13/2023] [Accepted: 10/07/2023] [Indexed: 10/18/2023]
Abstract
Metabolic syndrome is a cluster of conditions that increase the risk of cardiovascular disease, i.e. obesity, insulin resistance, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-c) levels and arterial hypertension. Phthalates are environmental chemicals which might influence the risk of the aforementioned disturbances, although the evidence is still controversial. The objective of this work was to synthesize the evidence on the association between human phthalate exposure and metabolic syndrome or any of its components. In this systematic review, the PRISMA guidelines were followed and the literature was search in PubMed, Web of Science and Scopus. Longitudinal and cross-sectional studies were included, the later only if a subclinical marker of disease was evaluated. The methodological quality was assessed with the Newcastle Ottawa Scale and a checklist for Analytical Cross-Sectional Studies developed in the Joanna Briggs Institute. A total of 58 articles were identified that showed high heterogenicity in the specific phthalates assessed, time-window of exposure and duration of follow-up. The quality of the studies was evaluated as high (n = 46, score >7 points) or medium (n = 12, score 4-6). The most frequently studied phthalates were DEHP-MEHP, MBzP and MEP. The evidence revealed a positive association between prenatal (in utero) exposure to most phthalates and markers of obesity in the offspring, but contradictory results when postnatal exposure and obesity were assessed. Moreover, postnatal phthalate exposure showed positive and very consistent associations with markers of diabetes and, to a lesser extent, with triglyceride levels. However, fewer evidence and contradictory results were found for HDL-c levels and markers of hypertension. The suggested mechanisms for these metabolic effects include transcription factor PPAR activation, antagonism of thyroid hormone function, antiandrogenic effects, oxidative stress and inflammation, and epigenetic changes. Nevertheless, as the inconsistency of some results could be related to differences in the study design, future research should aim to standardise the exposure assessment.
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Affiliation(s)
- Celia Perez-Diaz
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain; Instituto de Investigación Biosanitaria (ibs.GRANADA). Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2(a) Planta, 18012, Granada, Spain
| | - Maialen Uriz-Martínez
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain
| | - Carmen Ortega-Rico
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain
| | - Ester Leno-Duran
- Universidad de Granada. Department of Obstetrics and Gynaecology, Medicine School. Parque Tecnologico de La Salud, Av. de La Investigación, 11, 18016, Granada, Spain.
| | - Rocío Barrios-Rodríguez
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain; Instituto de Investigación Biosanitaria (ibs.GRANADA). Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2(a) Planta, 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11. Planta 0, 28029 Madrid, Spain
| | - Inmaculada Salcedo-Bellido
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain; Instituto de Investigación Biosanitaria (ibs.GRANADA). Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2(a) Planta, 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11. Planta 0, 28029 Madrid, Spain
| | - Juan Pedro Arrebola
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain; Instituto de Investigación Biosanitaria (ibs.GRANADA). Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2(a) Planta, 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11. Planta 0, 28029 Madrid, Spain
| | - Pilar Requena
- Universidad de Granada. Department of Preventive Medicine and Public Health, Pharmacy School. Campus de Cartuja S/n, 18071, Granada, Spain; Instituto de Investigación Biosanitaria (ibs.GRANADA). Avda. de Madrid, 15. Pabellón de Consultas Externas 2, 2(a) Planta, 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11. Planta 0, 28029 Madrid, Spain
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12
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Delolmo-Romero S, Correa-Rodríguez M, Sánchez-Martínez MC, Gil-Gutiérrez R, Ortego-Centeno N, Rueda-Medina B. Social Health and Its Influence on Metabolic Health Among a Rural Population: A Cross-Sectional Study. Clin Nurs Res 2024; 33:9-18. [PMID: 37382362 DOI: 10.1177/10547738231184935] [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] [Indexed: 06/30/2023]
Abstract
The aim of this study was to estimate the prevalence of metabolic syndrome (MetS) in a Spanish rural population and assess differences in prevalence according to loneliness level, social isolation, and social support. This is a cross-sectional study of 310 patients. MetS was defined by National Cholesterol Education Program-Third Adult Treatment Panel. The UCLA (University of California, Los Angeles) Loneliness Scale, Multidimensional Scale of Social Support, and Lubben Social Network Scale were used to assess loneliness, perceived social support, and social isolation. Almost half of the participants fulfilled MetS diagnosis criteria. Subjects with MetS showed significantly higher levels of loneliness, less social support, and greater social isolation. Systolic blood pressure was significantly higher in socially isolated rural adults. Environmental factors may play a key role in the prevalence of MetS, so specific screening and prevention programs could help health professionals prevent the increasing rates of MetS in rural populations under these socially specific conditions of vulnerability.
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Affiliation(s)
- Sara Delolmo-Romero
- Department of Nursing, Faculty of Health Sciences, University of Granada, Spain
- Instituto de Investigación Biosanitaria IBS GRANADA, Spain
| | - María Correa-Rodríguez
- Department of Nursing, Faculty of Health Sciences, University of Granada, Spain
- Instituto de Investigación Biosanitaria IBS GRANADA, Spain
| | | | - Rocío Gil-Gutiérrez
- Department of Nursing, Faculty of Health Sciences, University of Granada, Spain
- Instituto de Investigación Biosanitaria IBS GRANADA, Spain
| | - Norberto Ortego-Centeno
- Department of Nursing, Faculty of Health Sciences, University of Granada, Spain
- Department of Medicine, Faculty of Medicine, University of Granada, Spain
| | - Blanca Rueda-Medina
- Department of Nursing, Faculty of Health Sciences, University of Granada, Spain
- Instituto de Investigación Biosanitaria IBS GRANADA, Spain
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13
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Chen D, Zhang H, Wu J, Xue E, Guo P, Tang L, Shao J, Cui N, Wang X, Chen L, Ye Z. Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study. J Med Internet Res 2023; 25:e49257. [PMID: 38019579 PMCID: PMC10720605 DOI: 10.2196/49257] [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: 05/23/2023] [Revised: 09/10/2023] [Accepted: 10/10/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a common public health challenge. Health-promoting behaviors such as diet and physical activity are central to preventing and controlling MetS. However, the adoption of diet and physical activity behaviors has always been challenging. An individualized mobile health (mHealth)-based intervention using the Behavior Change Wheel is promising in promoting health behavior change and reducing atherosclerotic cardiovascular disease (ASCVD) risk. However, the effects of this intervention are not well understood among people with MetS in mainland China. OBJECTIVE We aimed to evaluate the effects of the individualized mHealth-based intervention using the Behavior Change Wheel on behavior change and ASCVD risk in people with MetS. METHODS We conducted a quasi-experimental, nonrandomized study. Individuals with MetS were recruited from the health promotion center of a tertiary hospital in Zhejiang province, China. The study involved 138 adults with MetS, comprising a control group of 69 participants and an intervention group of 69 participants. All participants received health education regarding diet and physical activity. The intervention group additionally received a 12-week individualized intervention through a WeChat mini program and a telephone follow-up in the sixth week of the intervention. Primary outcomes included diet, physical activity behaviors, and ASCVD risk. Secondary outcomes included diet self-efficacy, physical activity self-efficacy, knowledge of MetS, quality of life, and the quality and efficiency of health management services. The Mann-Whitney U test and Wilcoxon signed rank test were primarily used for data analysis. Data analysis was conducted based on the intention-to-treat principle using SPSS (version 25.0; IBM Corp). RESULTS Baseline characteristics did not differ between the 2 groups. Compared with the control group, participants in the intervention group showed statistically significant improvements in diet behavior, physical activity behavior, diet self-efficacy, physical activity self-efficacy, knowledge of MetS, physical health, and mental health after a 12-week intervention (P=.04, P=.001, P=.04, P=.04, P=.001, P=.04, P=.04, and P<.05). The intervention group demonstrated a statistically significant improvement in outcomes from pre- to postintervention evaluations (P<.001, P=.03, P<.001, P=.04, P<.001, P<.001, and P<.001). The intervention also led to enhanced health management services and quality. CONCLUSIONS The individualized mHealth-based intervention using the Behavior Change Wheel was effective in promoting diet and physical activity behaviors in patients with MetS. Nurses and other health care professionals may incorporate the intervention into their health promotion programs.
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Affiliation(s)
- Dandan Chen
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Zhang
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, China
| | - Jingjie Wu
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Erxu Xue
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Pingping Guo
- Nursing Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Leiwen Tang
- Institute of Nursing Research, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Shao
- Institute of Nursing Research, Department of Nursing of the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Nianqi Cui
- School of Nursing, Kunming Medical University, Kunming, China
| | - Xiyi Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Liying Chen
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhihong Ye
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Lu L, Li Y, Chen C, Zhang Y, Guo W, Zhang S, Kahe K. Associations of cadmium exposure with risk of metabolic syndrome and its individual components: a meta-analysis. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:846-854. [PMID: 35585250 DOI: 10.1038/s41370-022-00444-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 04/17/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Data directly associating cadmium (Cd) with metabolic syndrome (MetS) are sparse and inconsistent. We aimed to quantitatively assess the association of Cd exposure with risk of MetS and its individual components. Literature searching was performed in PubMed, EMBASE, and MEDLINE-OVID through September, 2021. Weighted odds ratios (ORs) for MetS and its components were pooled by comparing the highest to the lowest category of Cd exposure using random-effects models. Eleven (10 from Asia and 1 from the US) cross-sectional studies (33,887 participants and 7176 cases) were identified. Overall, Cd exposure was not associated with risk of MetS [OR: 1.08, 95% confidence interval (CI): 0.92, 1.28]. However, the association became significant when pooling Asian studies (OR: 1.18, 95% CI: 1.02, 1.35), and it was more pronounced with Cd measured in blood (OR: 1.24, 95% CI: 1.05, 1.45). Additionally, Cd exposure was significantly associated with reduced HDL-cholesterol (OR: 1.27, 95% CI: 1.05, 1.54) and elevated triglyceride (OR: 1.17, 95% CI: 1.05, 1.30), but not other components. This meta-analysis indicates that Cd exposure is associated with risk of MetS among Asian populations, which is mainly explained by Cd's association with dyslipidemia. Further studies are needed to better understand the mechanism of action.
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Affiliation(s)
- Liping Lu
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Yuexia Li
- Department of Intensive Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Cheng Chen
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Yijia Zhang
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Wenzhi Guo
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shuijun Zhang
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ka Kahe
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
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15
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Chen D, Shao J, Zhang H, Wu J, Xue E, Guo P, Tang L, Cui N, Wang X, Chen L, Ye Z. Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome. Ann Med 2023; 55:2267587. [PMID: 37898907 PMCID: PMC10836251 DOI: 10.1080/07853890.2023.2267587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/22/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Metabolic Syndrome (MetS) is a serious public health issue. Dietary changes form the core of MetS treatment. The adherence to dietary recommendations is critical for reducing the severity of MetS components and preventing complications. However, the adherence to dietary recommendations was not adequate among adults with MetS. This study utilizes the Behaviour Change Wheel (BCW) to develop an individualized WeChat mini program-based behavioural change intervention aimed at strengthening adherence to dietary recommendations in people with MetS. METHODS The BCW theory was used to design an individualized WeChat mini program-based behavioural change intervention. A descriptive qualitative study was conducted to identify the determinants of adherence to dietary recommendations in individuals with MetS. The study was conducted at the health promotion centre of a prominent general university hospital in Zhejiang, China. Subsequently, the intervention functions (IFs) and policy categories were selected following the identified determinants. Afterwards, behaviour change techniques (BCTs) were chosen to translate into potential intervention strategies, and the delivery mode was determined. RESULTS Our study identified fifteen barriers to improve the adherence to dietary recommendations in this population. These were linked with six IFs: education, training, persuasion, enablement, modelling, and environmental restructuring. Then, twelve BCTs were linked with the IFs and fifteen barriers. The delivery mode was a WeChat mini program. After these actions, an individualized WeChat mini program-based behavioural change intervention was developed to enhance adherence to dietary recommendations for individuals with MetS. CONCLUSIONS The BCW theory helped scientifically and systematically develop an individualized WeChat mini program-based behavioural change intervention for individuals with MetS. In the future, our research team will refine and upgrade the WeChat mini program and then test the usability and effectiveness of the individualized WeChat mini program-based behavioural change intervention program.
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Affiliation(s)
- Dandan Chen
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Shao
- School of Nursing, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Zhang
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China
| | - Jingjie Wu
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Erxu Xue
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Pingping Guo
- Nursing Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Leiwen Tang
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Nianqi Cui
- School of Nursing, Kunming Medical University, Kunming, China
| | - Xiyi Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Liying Chen
- Department of General Practice, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhihong Ye
- Nursing Department, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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16
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Monserrat-Mesquida M, Quetglas-Llabrés MM, Bouzas C, Pastor O, Ugarriza L, Llompart I, Cevallos-Ibarra K, Sureda A, Tur JA. Plasma Fatty Acid Composition, Oxidative and Inflammatory Status, and Adherence to the Mediterranean Diet of Patients with Non-Alcoholic Fatty Liver Disease. Antioxidants (Basel) 2023; 12:1554. [PMID: 37627549 PMCID: PMC10451635 DOI: 10.3390/antiox12081554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a complex and increasingly prevalent cardiometabolic disorder worldwide. As of today, NAFLD is a pathology without specific pharmacological treatment, with the Mediterranean diet (MedDiet) being the most widely used approach for its management. The objective of this study is to assess the effects of adherence to the Mediterranean diet on fatty acid plasma levels, as well as on the oxidative and inflammatory status of NAFLD patients. A total of 100 adult patients (40-60 years old) diagnosed with NAFLD and from the Balearic Islands, Spain, were classified into three groups according to their adherence to the MedDiet. Consumption was assessed using a validated 143-item semiquantitative Food Frequency Questionnaire. Food items (g/day) were categorised according to their processing using the NOVA system. Anthropometrics, blood pressure, aminotransferases, Dietary Inflammatory Index (DII), inflammatory biomarkers, and fatty acid levels were measured in the plasma of NAFLD patients. High adherence to the MedDiet is associated to a highly plant-based diet, low ultra-processed food (UPF) consumption, low intake of dietary lipids, low intake of animal fats, high intake of monounsaturated fatty acid (MUFA; mainly palmitoleic acid), low intake of saturated fatty acids (SFAs; practically all dietary SFAs), low intake of trans-fatty acids, high intake of omega-3 fatty acids (mainly eicosapentaenoic acid), a higher n-6:n-3 in ratio, low intake of omega-6 fatty acids, and a low level of interleukin-6 (IL-6). High adherence to the MedDiet is related to a better fatty acid profile in the plasma, fewer SFAs and more MUFA and polyunsaturated fatty acids (PUFAs), a plasma biochemical profile, better proinflammatory status, and decreased ultra-processed food consumption of NAFLD patients.
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Affiliation(s)
- Margalida Monserrat-Mesquida
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Maria Magdalena Quetglas-Llabrés
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Oscar Pastor
- Service of Clinical Biochemistry, Hospital Universitario Ramon y Cajal-IRYCIS, E-28023 Madrid, Spain (K.C.-I.)
| | - Lucía Ugarriza
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
- C.S. Camp Redó, IBSalut, E-07010 Palma de Mallorca, Spain
| | - Isabel Llompart
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
- Clinical Analysis Service, University Hospital Son Espases, E-07198 Palma de Mallorca, Spain
| | - Karla Cevallos-Ibarra
- Service of Clinical Biochemistry, Hospital Universitario Ramon y Cajal-IRYCIS, E-28023 Madrid, Spain (K.C.-I.)
| | - Antoni Sureda
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
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Basciani S, Nordio M, Dinicola S, Unfer V, Gnessi L. Diet Plus Inositols, α-Lactalbumin and Gymnema sylvestre: The Successful Combo to Restore Body Weight and Metabolic Profile in Obese and Dysmetabolic Patients. Nutrients 2023; 15:3142. [PMID: 37513560 PMCID: PMC10385591 DOI: 10.3390/nu15143142] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The primary control of dysmetabolic patients is extremely challenging worldwide, with inadequate dietary habits and sporadic physical activity among the key risk factors for metabolic syndrome onset. Nowadays, there is no exclusive treatment for this condition, and considering that preventive measures usually fail, new therapeutic approaches need to be proposed and investigated. This present pilot study compared the effects of diet alone and in association with a combination of myo-inositol and d-chiro-inositol in their 40:1 ratio, α-lactalbumin, and Gymnema sylvestre on different metabolic parameters in obese dysmetabolic patients. To this purpose, 37 patients with BMI between 30 and 40 and fasting blood glucose between 100 and 125 mg/dL were divided into two groups: (i) the control group followed a hypocaloric Mediterranean diet, (ii) while the study group was also supplemented with a daily dosage of two sachets, each one containing 1950 mg myo-inositol, 50 mg d-chiro-inositol, 50 mg α-lactalbumin, and 250 mg Gymnema Sylvestre. After a 6-month treatment, all parameters improved in both groups. Nevertheless, the treated group experienced a greater improvement, especially concerning the variation from the baseline of HOMA index, triglycerides, BMI, body weight, and waist circumference. These findings support the supplementation with myo-inositol and d-chiro-inositol in the 40:1 ratio, α-lactalbumin, and Gymnema sylvestre as a therapeutical strategy to potentiate the beneficial effects induced via dietary programs in dysmetabolic patients.
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Affiliation(s)
- Sabrina Basciani
- Section of Medical Pathophysiology, Food Science and Endocrinology, Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Maurizio Nordio
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy
| | - Simona Dinicola
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy
- R&D Department, Lo.Li. Pharma, 00156 Rome, Italy
| | - Vittorio Unfer
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy
- UniCamillus-Saint Camillus International University of Health Sciences, 00131 Rome, Italy
| | - Lucio Gnessi
- Section of Medical Pathophysiology, Food Science and Endocrinology, Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
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18
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García S, Pastor R, Monserrat-Mesquida M, Álvarez-Álvarez L, Rubín-García M, 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, Pintó X, Gaforio JJ, Matía P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayón-Orea C, Guillem-Saiz P, Valle-Hita C, Cabanes R, Abete I, Goicolea-Güemez L, Gómez-Gracia E, Tercero-Maciá C, Colom A, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Cenoz JC, Barragán R, Khoury N, Castañer O, Zulet MÁ, Vaquero-Luna J, Bes-Rastrollo M, de Las Heras-Delgado S, Ciurana R, Martín-Sánchez V, Tur JA, Bouzas C. Metabolic syndrome criteria and severity and carbon dioxide (CO 2) emissions in an adult population. Global Health 2023; 19:50. [PMID: 37443076 DOI: 10.1186/s12992-023-00948-3] [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: 01/09/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. AIMS To assess the association between MetS severity and amount of carbon dioxide (CO2) emitted in an adult population. DESIGN Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). METHODS Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. RESULTS Higher glycaemia levels were found in people with higher CO2 emissions. The risk of having high severe MetS was related to high CO2 emissions. CONCLUSIONS Low CO2 emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. TRIAL REGISTRATION ISRCTN, ISRCTN89898870 . Registered 05 September 2013.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Laura Álvarez-Álvarez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - María Rubín-García
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
- Departament of Medicine, Universitat Autònoma de Barcelona, Barcelona, 08003, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, 28049, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, 29071, Spain
| | - Jesús Vioque
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, 03550, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Córdoba, 14004, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, 29010, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, 41013, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, 35016, Spain
| | - Blanca Riquelme-Gallego
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Department of Preventive Medicine, University of Granada, Granada, 18071, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, 08907, Spain
| | - José J Gaforio
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, Jaen, 23071, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, 28040, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Clotilde Vázquez
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, 28040, Spain
| | - Lidia Daimiel
- Precision Nutrition and Obesity Program.IMDEA Food, Nutritional Control of the Epigenome Group, CEI UAM + CSIC, Madrid, 28049, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, 08036, Spain
| | - Carmen Sayón-Orea
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Navarra Institute of Public Health. Regional Health Service of Navarra, Pamplona, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Cristina Valle-Hita
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Robert Cabanes
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Public Health and Psychiatry, School of Medicine, Biomedical Research Institute of Malaga (IBIMA), University of Malaga, Málaga, 29010, Spain
| | - Cristina Tercero-Maciá
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, 03550, Spain
- Centro Salud Raval, Elche-Alicante, 03203, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Córdoba, 14004, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - José C Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, 29010, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, 41013, Spain
| | - Juan Carlos Cenoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Navarra Regional Health Service, Primary Health Care Services, Pamplona, Spain
| | - Rocío Barragán
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Nadine Khoury
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - María Ángeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Jessica Vaquero-Luna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Maira Bes-Rastrollo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Sara de Las Heras-Delgado
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Ramon Ciurana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain.
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
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19
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Zeng K, Wang S, Zhang L, Zhang Y, Ma J. Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients. Ann Gen Psychiatry 2023; 22:25. [PMID: 37381041 DOI: 10.1186/s12991-023-00455-0] [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: 04/05/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Metabolic syndromes (MetS) are clinical syndromes involving multiple pathological states with distinct gender-specific clinical patterns. As a serious disorder associated with psychiatric conditions, the prevalence of MetS is significantly higher in the population with schizophrenia (Sch). The aim of this paper is to report gender differences in the prevalence, associated factors and severity-related factors of MetS in first-treatment and drug-naïve (FTDN) patients with Sch. METHODS A total of 668 patients with FTDN Sch were included in this study. We collected socio-demographic and general clinical information on the target population, measured and evaluated common metabolic parameters and routine biochemical indicators, and assessed the severity of psychiatric symptoms using Positive and Negative Symptom Scale (PANSS). RESULTS In the target group, the prevalence of MetS was significantly higher in women (13.44%, 57/424) than in men (6.56%, 16/244). In the males, waist circumference (WC), fasting blood glucose (FBG), diastolic blood pressure (DBP), and triglycerides (TG) were risk factors for MetS, while systolic blood pressure (SBP), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and platelet (PLT) were risk factors for the females. More importantly, for the females, we found that age, LDL-C, PANSS scores and blood creatinine (CRE) were risk factors for higher MetS scores, while onset age and hemoglobin (HGB) were protective factors. CONCLUSION There are significant gender differences in the prevalence of MetS and its factors among patients with FTDN Sch. The prevalence of MetS is higher and the factors that influence MetS are more numerous and extensive in females. The mechanisms of this difference need further research and clinical intervention strategies should be formulated with gender differences.
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Affiliation(s)
- Kuan Zeng
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Shuo Wang
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Lin Zhang
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China
- Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Yanting Zhang
- Department of Psychiatry, Suzhou Guangji Hospital, No. 11, Guangqian Road, Suzhou, Jiangsu, China.
| | - Jun Ma
- Department of Psychiatry, Wuhan Mental Health Center, No. 89, Gongnongbing Road, Wuhan, Hubei, China.
- Wuhan Hospital for Psychotherapy, Wuhan, China.
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, China.
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20
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Clemente-Suárez VJ, Martín-Rodríguez A, Redondo-Flórez L, López-Mora C, Yáñez-Sepúlveda R, Tornero-Aguilera JF. New Insights and Potential Therapeutic Interventions in Metabolic Diseases. Int J Mol Sci 2023; 24:10672. [PMID: 37445852 DOI: 10.3390/ijms241310672] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/13/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Endocrine homeostasis and metabolic diseases have been the subject of extensive research in recent years. The development of new techniques and insights has led to a deeper understanding of the mechanisms underlying these conditions and opened up new avenues for diagnosis and treatment. In this review, we discussed the rise of metabolic diseases, especially in Western countries, the genetical, psychological, and behavioral basis of metabolic diseases, the role of nutrition and physical activity in the development of metabolic diseases, the role of single-cell transcriptomics, gut microbiota, epigenetics, advanced imaging techniques, and cell-based therapies in metabolic diseases. Finally, practical applications derived from this information are made.
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Affiliation(s)
- Vicente Javier Clemente-Suárez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain
- Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, Barranquilla 080002, Colombia
| | | | - Laura Redondo-Flórez
- Department of Health Sciences, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Tajo Street s/n, 28670 Villaviciosa de Odon, Spain
| | - Clara López-Mora
- Facultad de Ciencias Biomédicas y de la Salud, Universidad Europea de Valencia, Pg. de l'Albereda, 7, 46010 València, Spain
| | - Rodrigo Yáñez-Sepúlveda
- Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar 2520000, Chile
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Luksiene D, Jasiukaitiene V, Radisauskas R, Tamosiunas A, Bobak M. Prognostic Implications of Physical Activity on Mortality from Ischaemic Heart Disease: Longitudinal Cohort Study Data. J Clin Med 2023; 12:4218. [PMID: 37445253 DOI: 10.3390/jcm12134218] [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: 04/26/2023] [Revised: 05/29/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND The prevalence of physical inactivity has been rising in many countries in recent years, adding to the burden of non-communicable diseases and affecting overall health worldwide. The aim of this study was to determine the comprehensive assessment of the prognostic value of physical activity in leisure time on mortality from ischemic heart disease (IHD) by gender separately for those respondents who were diagnosed with IHD and for those who were not diagnosed with IHD in their baseline health survey. METHODS In the baseline survey (2006-2008), 7100 men and women ages 45-72 were examined within the framework of the international study Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE). A total of 6770 participants were available for statistical analysis (after excluding 330 respondents due to missing information on study variables). Physical activity was determined by leisure-time physical activities (hours/week). All participants in the baseline survey were followed up for IHD mortality events until 31 December 2018. RESULTS Using multivariate Cox regression analysis, it was found that moderate and higher levels of physical activity significantly reduced the risk of IHD mortality (HR = 0.54, p = 0.016 and HR = 0.60, p = 0.031, respectively) in men who were not diagnosed with IHD at baseline compared with physically inactive subjects. It was found that among men and women who were diagnosed with IHD at baseline, physical activity reduced the risk of mortality from IHD compared with those who were physically inactive (HR = 0.54, p = 0.021 and HR = 0.41, p = 0.025, respectively). Using mediation analysis, it was found that physical activity directly predicted statistically lower IHD mortality (p < 0.05) in men and women. CONCLUSION High physical activity was a significant factor that directly predicted statistically lower IHD mortality in men, regardless of whether subjects had IHD at baseline or not. However, only moderate physical activity was a significant factor that directly predicted statistically lower IHD mortality in the women group with IHD at baseline.
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Affiliation(s)
- Dalia Luksiene
- Laboratory of Population Studies of Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania
| | - Vilma Jasiukaitiene
- Laboratory of Population Studies of Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania
| | - Ricardas Radisauskas
- Laboratory of Population Studies of Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania
| | - Abdonas Tamosiunas
- Laboratory of Population Studies of Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK
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Masenga SK, Kabwe LS, Chakulya M, Kirabo A. Mechanisms of Oxidative Stress in Metabolic Syndrome. Int J Mol Sci 2023; 24:7898. [PMID: 37175603 PMCID: PMC10178199 DOI: 10.3390/ijms24097898] [Citation(s) in RCA: 58] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Metabolic syndrome is a cluster of conditions associated with the risk of diabetes mellitus type 2 and cardiovascular diseases (CVDs). Metabolic syndrome is closely related to obesity. Increased adiposity promotes inflammation and oxidative stress, which are precursors of various complications involving metabolic syndrome components, namely insulin resistance, hypertension, and hyperlipidemia. An increasing number of studies confirm the importance of oxidative stress and chronic inflammation in the etiology of metabolic syndrome. However, few studies have reviewed the mechanisms underlying the role of oxidative stress in contributing to metabolic syndrome. In this review, we highlight mechanisms by which reactive oxygen species (ROS) increase mitochondrial dysfunction, protein damage, lipid peroxidation, and impair antioxidant function in metabolic syndrome. Biomarkers of oxidative stress can be used in disease diagnosis and evaluation of severity.
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Affiliation(s)
- Sepiso K. Masenga
- HAND Research Group, School of Medicine and Health Sciences, Mulungushi University, Livingstone Campus, Livingstone P.O. Box 60009, Zambia
- Department of Medicine, Room 536 Robinson Research Building, Vanderbilt University Medical Centre, Nashville, TN 37232-6602, USA
| | - Lombe S. Kabwe
- HAND Research Group, School of Medicine and Health Sciences, Mulungushi University, Livingstone Campus, Livingstone P.O. Box 60009, Zambia
| | - Martin Chakulya
- HAND Research Group, School of Medicine and Health Sciences, Mulungushi University, Livingstone Campus, Livingstone P.O. Box 60009, Zambia
| | - Annet Kirabo
- Department of Medicine, Room 536 Robinson Research Building, Vanderbilt University Medical Centre, Nashville, TN 37232-6602, USA
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Popiolek-Kalisz J, Glibowski P. Apple Peel Supplementation Potential in Metabolic Syndrome Prevention. Life (Basel) 2023; 13:life13030753. [PMID: 36983908 PMCID: PMC10056680 DOI: 10.3390/life13030753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023] Open
Abstract
(1) Introduction: Apples are a source of bioactive substances, e.g., anthocyanidins and flavonols, and dietary fiber. Their highest concentrations are observed in the skin. Metabolic syndrome (MetS) is a set of conditions originally associated with obesity. Excessive adipose tissue accompanying obesity leads to chronic inflammation and metabolic disorders, which result in the development of dyslipidemia, elevated blood pressure, and glucose levels. Thus, supplementation of apple peels, a source of antioxidant substances and fiber, could potentially be a method supporting the prevention of MetS. This paper summarizes the results of available research on the potential impact of apple peel supplementation on the components of MetS. (2) Results: The results from in vitro and animal model studies indicate a positive effect of apple peel supplementation on lipid profile, glucose levels, and blood pressure regulation mediators. Only one human study was performed, and it showed that the consumption of apple peels had an effect on endothelial function but not on other clinical parameters. At the moment, there are no results from observations on large groups of people available. (3) Conclusions: The results of in vitro and animal-model studies indicate the potential of apple peel supplementation in MetS prevention, but it has not been clinically confirmed in human studies. Conducting large human studies could allow a definite clarification of the role of apple peel supplementation in MetS prevention.
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Affiliation(s)
- Joanna Popiolek-Kalisz
- Clinical Dietetics Unit, Department of Bioanalytics, Medical University of Lublin, 20-093 Lublin, Poland
- Department of Biotechnology, Microbiology and Human Nutrition, University of Life Sciences in Lublin, 20-704 Lublin, Poland
- Department of Cardiology, Cardinal Wyszynski Hospital in Lublin, 20-718 Lublin, Poland
- Correspondence:
| | - Paweł Glibowski
- Department of Biotechnology, Microbiology and Human Nutrition, University of Life Sciences in Lublin, 20-704 Lublin, Poland
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1239] [Impact Index Per Article: 1239.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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25
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Soleimani M, Barone S, Luo H, Zahedi K. Pathogenesis of Hypertension in Metabolic Syndrome: The Role of Fructose and Salt. Int J Mol Sci 2023; 24:4294. [PMID: 36901725 PMCID: PMC10002086 DOI: 10.3390/ijms24054294] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Metabolic syndrome is manifested by visceral obesity, hypertension, glucose intolerance, hyperinsulinism, and dyslipidemia. According to the CDC, metabolic syndrome in the US has increased drastically since the 1960s leading to chronic diseases and rising healthcare costs. Hypertension is a key component of metabolic syndrome and is associated with an increase in morbidity and mortality due to stroke, cardiovascular ailments, and kidney disease. The pathogenesis of hypertension in metabolic syndrome, however, remains poorly understood. Metabolic syndrome results primarily from increased caloric intake and decreased physical activity. Epidemiologic studies show that an enhanced consumption of sugars, in the form of fructose and sucrose, correlates with the amplified prevalence of metabolic syndrome. Diets with a high fat content, in conjunction with elevated fructose and salt intake, accelerate the development of metabolic syndrome. This review article discusses the latest literature in the pathogenesis of hypertension in metabolic syndrome, with a specific emphasis on the role of fructose and its stimulatory effect on salt absorption in the small intestine and kidney tubules.
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Affiliation(s)
- Manoocher Soleimani
- Research Services, New Mexico Veterans Health Care Medical Center, Albuquerque, NM 87108, USA
- Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Sharon Barone
- Research Services, New Mexico Veterans Health Care Medical Center, Albuquerque, NM 87108, USA
- Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Henry Luo
- Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Kamyar Zahedi
- Research Services, New Mexico Veterans Health Care Medical Center, Albuquerque, NM 87108, USA
- Department of Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
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26
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DAYI TAYGUN, OZGOREN MURAT. Effects of the Mediterranean diet on the components of metabolic syndrome. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2022; 63:E56-E64. [PMID: 36479500 PMCID: PMC9710414 DOI: 10.15167/2421-4248/jpmh2022.63.2s3.2747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Metabolic syndrome, also as known as Syndrome X or Insulin Resistance Syndrome, is a complex health problem featuring visceral obesity (the main diagnostic criterion), insulin resistance, dyslipidemia and high blood pressure. Currently, this health condition has gained a momentum globally while raising concerns among health-related communities. The World Health Organization, American Heart Association and International Diabetes Federation have formulated diagnostic criteria for metabolic syndrome. Diet and nutrition can influence this syndrome: for example, the Western diet is associated with increased risk of metabolic syndrome, whereas the Nordic and Mediterranean diets and the Dietary Approach to Stop Hypertension are potentially beneficial. The Mediterranean diet can affect the components of metabolic syndrome due to its high dietary fiber, omega 3 and 9 fatty acids, complex carbohydrates, antioxidants, minerals, vitamins and bioactive substances, such as polyphenols. These nutrients and bioactive substances can combat obesity, dyslipidemia, hypertension and diabetes mellitus. The mechanisms by which they do so are generally related to oxidative stress, inflammation (the most common risk factors for metabolic syndrome) and gastrointestinal function. The literature also shows examples of positive effects of the Mediterranean diet on the metabolic syndrome. In this review of the literature, we shed light on the effects, mechanisms and dynamic relationship between the Mediterranean diet and metabolic syndrome.
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Affiliation(s)
- TAYGUN DAYI
- Near East University, Faculty of Health Sciences, Department of Nutrition and Dietetics, Cyprus
- Correspondence: Taygun Dayi, Near East University, Faculty of Health Sciences, Department of Nutrition and Dietetics, Cyprus 99138. E-mail: ; Murat Ozgoren, Near East University, Faculty of Medicine, Department of Biophysics, Cyprus 99138. E-mail:
| | - MURAT OZGOREN
- Near East University, Faculty of Medicine, Department of Biophysics, Cyprus
- Correspondence: Taygun Dayi, Near East University, Faculty of Health Sciences, Department of Nutrition and Dietetics, Cyprus 99138. E-mail: ; Murat Ozgoren, Near East University, Faculty of Medicine, Department of Biophysics, Cyprus 99138. E-mail:
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Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022; 22:1740. [PMID: 36104817 PMCID: PMC9471053 DOI: 10.1186/s12889-022-14129-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/23/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Adherence to physical activity is inadequate in adults with metabolic syndrome. Adherence to physical activity recommendations is crucial and can result in improved health outcomes and reduced medical burdens. A comprehensive behavior change intervention, including identifying determinants of adherence to physical activity recommendations, intervention options, intervention content and implementation options, was imperative for enhancing physical activity adherence. The aim of the study is to develop an intervention to increase physical activity adherence among individuals with metabolic syndrome.
Methods
The study followed the eight steps of the Behavior Change Wheel guide, including defining the problem in behavioral terms (Step 1), selecting target behavior (Step 2), specifying target behavior (Step 3), identifying what needs to change (Step 4), identifying intervention functions (Step 5), identifying policy categories (Step 6), identifying behavior change techniques (Step 7), and determining model of delivery (Step 8). The semi-structured, in-depth interviews were employed to identify the determinants of adherence to physical activity among twenty-eight individuals with metabolic syndrome based on capability, opportunity, motivation and behavior model. Next, the intervention functions and policy categories were chosen to address these determinants. Finally, behavior change techniques were selected to assist in the delivery of the intervention functions and be translated into intervention content.
Results
Our study identified eighteen facilitators and fifteen barriers to physical activity adherence. It resulted in the selection of seven intervention functions and nineteen behavior change techniques for the intervention program. Then, the current study identified an app as the delivery mode. Finally, a behavioral change intervention was generated for individuals with metabolic syndrome to increase physical activity recommendation adherence.
Conclusions
The Behavior Change Wheel provided a systematic approach to designing a behavior change intervention, which helped improve the health outcomes and reduce medical burdens and economic burdens among individuals with metabolic syndrome. The findings suggested that potential intervention should pay special attention to increasing knowledge in metabolic syndrome, imparting skills of physical activity, offering a supportive environment, and providing suggestions on regular physical activity using the appropriate behavior change techniques. A feasibility study will be undertaken to assess the acceptability and effectiveness of the intervention program in the future.
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Ruedlinger J, Cid-Ossandón V, Huidobro A, Van De Wyngard V, Vargas C, Ferreccio C. Processed meat consumption and associated factors in Chile: A cross-sectional study nested in the MAUCO cohort. Front Public Health 2022; 10:960997. [PMID: 36062116 PMCID: PMC9436317 DOI: 10.3389/fpubh.2022.960997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/01/2022] [Indexed: 01/24/2023] Open
Abstract
Processed meat consumption is increasing in Latin America. While in developed countries processed meat consumption has been associated with cardiovascular diseases and cancer, our region lacks data associated to its consumption and health impact. We characterized processed meat intake and associated factors in a population-based cohort of a Chilean agricultural county, MAUCO. We analyzed baseline dietary data of 7,841 participants, 4,358 women and 3,483 men (38-77 years), who answered an adapted Mediterranean index food frequency questionnaire. Eight percent of the participants presented high processed meat consumption (≥5 times per week). We explored associations of processed meat consumption with participant characteristics using multinomial logistic regression models. Main factors associated with higher consumption were being men, younger and currently employed, and having a high intake (>4 times per week) of red meat (Odds ratio, 2.71, 95% CI 2.10-3.48), butter/cream (1.96, 1.60-2.41), whole-fat dairy products (1.32, 1.04-1.67) and a high intake (≥1 time per day) of sugary snacks/sweets (2.49, 2.04-3.03) and sugary drinks (1.97, 1.63-2.38). Processed meat consumption associated to chronic diseases, particularly cardiovascular disease (Prevalence ratio, 2.28, 95% CI 1.58-3.29). Obesity mediated this association in a proportion of 5.0%, whereas for diabetes the proportion was 13.9%. In this population, processed meat was associated with other unhealthy dietary and lifestyle factors, as well as with chronic diseases, particularly cardiovascular disease.
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Affiliation(s)
- Jenny Ruedlinger
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Vicente Cid-Ossandón
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Andrea Huidobro
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
- Facultad de Medicina, School of Medicine, Universidad Católica del Maule, Talca, Chile
| | - Vanessa Van De Wyngard
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudio Vargas
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
- Departamento de Matemáticas y Ciencias de la Computación, Facultad de Ciencias, Universidad de Santiago de Chile, Santiago, Chile
| | - Catterina Ferreccio
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
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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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The Association between Ultra-Processed Foods, Quality of Life and Insomnia among Adolescent Girls in Northeastern Iran. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19106338. [PMID: 35627875 PMCID: PMC9141842 DOI: 10.3390/ijerph19106338] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/09/2022] [Accepted: 05/16/2022] [Indexed: 01/01/2023]
Abstract
Ultra-processed foods have been associated with increased risk of chronic disease, poor overall health and psychological outcomes. This study explored the association of ultra-processed foods with quality of life in adolescent girls from northeastern Iran. In an interdisciplinary cross-sectional study, n = 733 adolescent girls were recruited by random cluster sampling. Assessments were completed for demographics, physical activity, anthropometric and biochemical parameters, psychological health and dietary intake. The participants were categorized into quartiles of ultra-processed food intake, and multivariable logistic regression was used in several models to investigate the association between ultra-processed food intake and psychological health. The mean age of the participants was 14 years. There were no significant differences in participant demographics for the quartiles of ultra-processed food intake including weight, waist-hip ratio, waist circumference, depression, insomnia and cardiometabolic markers related to cardiovascular disease risk. Adjusted logistic regression showed participants in the highest category of ultra-processed food consumption had an increased likelihood of reduced quality of life (OR: 1.87, 95% CI: 1.13-3.11), with a greater chance for insomnia (OR: 4.04, 95% CI: 1.83-8.94) across all models. However, no significant associations were observed between consumption of ultra-processed foods and daytime sleepiness. We highlight the association between ultra-processed food consumption and poor quality of life and insomnia amongst adolescent girls. Large longitudinal integrated public health studies in different ethnicities are needed to confirm these associations and evaluate their possible impact for optimizing health promotion programs.
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Inflammatory and Oxidative Stress Markers Related to Adherence to the Mediterranean Diet in Patients with Metabolic Syndrome. Antioxidants (Basel) 2022; 11:antiox11050901. [PMID: 35624765 PMCID: PMC9137637 DOI: 10.3390/antiox11050901] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 12/28/2022] Open
Abstract
Metabolic syndrome (MetS) is characterized by increased pro-oxidative stress and a pro-inflammatory state. Several studies emphasized the protective effect of the Mediterranean dietary pattern (MDP). To assess the oxidative and inflammatory state according to the adherence to MDP using biomarkers in patients with MetS. Antioxidant and pro-inflammatory biomarkers were determined in plasma, peripheral blood mononuclear cells (PBMCs), and neutrophils of adults (aged 55–75 years old; 60% women) with MetS living in Mallorca (Spain). Anthropometrics, dietary intake by a validated semi-quantitative 143-item food frequency questionnaire, and a Dietary Inflammatory Index were measured. Patients with low adherence to MDP showed higher levels of glycated haemoglobin A1c and triglycerides, and lower levels of HDL cholesterol. Plasma levels of interleukin-1β, IL-6, IL-15, tumour necrosis factor α, xanthine oxidase, and ghrelin, and activities of superoxide dismutase, and myeloperoxidase were higher in subjects with low adherence to the MDP. Reactive oxygen species production in PBMCs and neutrophils stimulated with lipopolysaccharide was higher in participants with low adherence to the MDP. Patients with MetS and higher adherence to the MDP showed less altered anthropometric parameters, blood biochemical profile, and better oxidative and inflammatory status.
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Mascaró CM, Bouzas C, Montemayor S, Casares M, Gómez C, Ugarriza L, Borràs PA, Martínez JA, Tur JA. Association between Stages of Hepatic Steatosis and Physical Activity Performance in Adults with Metabolic Syndrome: A Cross-Sectional Analysis in FLIPAN Study. Nutrients 2022; 14:nu14091790. [PMID: 35565758 PMCID: PMC9105320 DOI: 10.3390/nu14091790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/16/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease. The best treatment now is a healthy lifestyle with a Mediterranean diet and physical activity (PA). Objective: To assess the association between stages of hepatic steatosis and physical activity performance in adults with metabolic syndrome. Design: Cross-sectional study in 155 participants (40–60 years old) with MetS, a diagnosis of NAFLD by magnetic resonance imaging and BMI (body mass index) between 27 and 40 kg/m2. Methods: Stages of hepatic steatosis were assessed and defined according to the percentage of intrahepatic fat contents: stage 0 ≤ 6.4% (control group); stage 1 = 6.4–17.4%; stage 2 ≥ 17.4%. Fitness was assessed through ALPHA-FIT test battery for adults, aerobic capacity by Chester-step test and PA by accelerometry and Minnesota questionnaire. Results: Participants without NAFLD reported more years of education and major socioeconomic status than participants with NAFLD. A higher percentage of people in the most advanced stage of NAFLD were no smokers and no alcohol consumers. They also had higher stages of steatosis, lower sitting handgrip, standing handgrip, Chester step test values, sleep efficiency, and energy expenditure, and higher intensity of light and moderate physical activity, and self-reported physical activity. Conclusions: NAFLD patients showed lower fitness status, aerobic capacity, sleep efficiency and energy expenditure than non-NAFLD participants.
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Affiliation(s)
- Catalina M. Mascaró
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Sofía Montemayor
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
| | - Miguel Casares
- Radiodiagnosis Service, Red Asistencial Juaneda, 07011 Palma de Mallorca, Spain;
| | - Cristina Gómez
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- Clinical Analysis Service, University Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - Lucía Ugarriza
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- Camp Redó Primary Health Care Center, 07010 Palma de Mallorca, Spain
| | - Pere-Antoni Borràs
- Area of Physical Education and Sports, Department of Pedagogy and Specific Didactics, University of the Balearic Islands, 07122 Palma de Mallorca, Spain;
| | - J. Alfredo Martínez
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM-CSIC, 28049 Madrid, Spain;
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, 31008 Pamplona, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (C.M.M.); (C.B.); (S.M.); (C.G.); (L.U.)
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-971-1731; Fax: +34-971-173184
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Li H, Wang Q, Ke J, Lin W, Luo Y, Yao J, Zhang W, Zhang L, Duan S, Dong Z, Chen X. Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China. Nutrients 2022; 14:nu14071334. [PMID: 35405947 PMCID: PMC9002364 DOI: 10.3390/nu14071334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/16/2022] [Accepted: 03/20/2022] [Indexed: 12/10/2022] Open
Abstract
Existing obesity- and lipid-related indices are inconsistent with metabolic syndrome (MetS) in chronic kidney disease (CKD) patients. We compared seven indicators, including waist circumference (WC), body mass index (BMI), visceral fat area (VFA), subcutaneous fat area (SFA), visceral adiposity index (VAI), Chinese VAI and lipid accumulation product (LAP), to evaluate their ability to predict MetS in CKD patients with and without Type 2 diabetes mellitus (T2DM) under various criteria. Multivariate logistic regression analysis was used to investigate the independent associations between the indices and metabolic syndrome among 547 non-dialysis CKD patients, aged ≥18 years. The predictive power of these indices was assessed using receiver operating characteristic (ROC) curve analysis. After adjusting for potential confounders, the correlation between VAI and MetS was strongest based on the optimal cut-off value of 1.51 (sensitivity 86.84%, specificity 91.18%) and 2.35 (sensitivity 83.54%, specificity 86.08%), with OR values of 40.585 (8.683–189.695) and 5.076 (1.247–20.657) for males and females with CKD and T2DM. In CKD patients without T2DM, based on the optimal cut-off values of 1.806 (sensitivity 98.11%, specificity 72.73%) and 3.11 (sensitivity 84.62%, specificity 83.82%), the OR values were 7.514 (3.757–15.027) and 3.008 (1.789–5.056) for males and females, respectively. The area under ROC curve (AUC) and Youden index of VAI were the highest among the seven indexes, indicating its superiority in predicting MetS in both male and female CKD patients, especially those with T2DM.
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Affiliation(s)
- Hangtian Li
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Qian Wang
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
| | - Jianghua Ke
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Wenwen Lin
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Yayong Luo
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Jin Yao
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Weiguang Zhang
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
| | - Li Zhang
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
| | - Shuwei Duan
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
| | - Zheyi Dong
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- Correspondence: (Z.D.); (X.C.)
| | - Xiangmei Chen
- National Clinical Research Center for Kidney Diseases, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People’s Liberation Army, Beijing 100853, China; (H.L.); (Q.W.); (J.K.); (W.L.); (Y.L.); (J.Y.); (W.Z.); (L.Z.); (S.D.)
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Correspondence: (Z.D.); (X.C.)
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Ono H, Akahoshi K, Kai M. Change in waist circumference and lifestyle habit factors as a predictor of metabolic risk among middle-aged and elderly Japanese people: population-based retrospective 10-year follow-up study from 2008 to 2017. Arch Public Health 2022; 80:75. [PMID: 35264230 PMCID: PMC8905753 DOI: 10.1186/s13690-022-00836-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background Waist circumference (WC) increases more than body mass index (BMI) over time. This study investigated the change in WC among middle-aged and elderly Japanese people for 10 years, and its relationship with lifestyle and lipid metabolism factor. Methods Health checkup data and lifestyle habits of a retrospective cohort of 745 people aged 40–65 years who underwent health checkups at least three times between 2008 and 2017 were analyzed. Information of Lifestyle habits about smoking history, regular exercise, alcohol intake skipping breakfast was collected using a self-administered questionnaire. Participants who were taking medications for diabetes, hyperlipidemia, or hypertension were excluded from analyses. Longitudinal associations between the change in WC and lifestyle habit factors with adjustments for sex, age, and WC at the start of health checkups were assessed using generalized linear models. Results Regardless of lifestyle, body weight (BW) decreased 0.8 kg (p < 0.001) for women, 0.9 kg (p = 0.003) for men, WC increased 0.8 cm (p = 0.007) for women, 0.2 cm (p = 0.657) for men. In addition, serum triglycerides and high- and low-density lipoprotein levels estimated 10 years later revealed that increased WC ratios also exacerbated the respective blood sample data. Conclusion Both men and women showed an increase in WC regardless of BW changes, and the increase in WC worsened lipid metabolism. For the middle-aged and elderly, whose WC increases over time, it will be more important to take notice of their WC than BW or BMI for effective health checkups.
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Affiliation(s)
- Haruko Ono
- Department of Community Health Nursing, Oita University of Nursing and Health Sciences, 2944-9 Megusuno, 870-1201, Oita, Japan.
| | - Kotomi Akahoshi
- Department of Community Health Nursing, Oita University of Nursing and Health Sciences, 2944-9 Megusuno, 870-1201, Oita, Japan
| | - Michiaki Kai
- Oita University of Nursing and Health sciences, Oita, Japan
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2459] [Impact Index Per Article: 1229.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Association between Non-Alcoholic Fatty Liver Disease and Mediterranean Lifestyle: A Systematic Review. Nutrients 2021; 14:nu14010049. [PMID: 35010923 PMCID: PMC8746321 DOI: 10.3390/nu14010049] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 12/16/2021] [Accepted: 12/21/2021] [Indexed: 02/07/2023] Open
Abstract
Background and Aims: Non-alcoholic fatty liver disease (NAFLD) is an excessive accumulation of fat in the liver without alcohol abuse. It is linked to metabolic syndrome (MetS) and no pharmacological treatment exists. This systematic review aims to assess evidence about the effect of Mediterranean lifestyle on the prevention and reversion of NAFLD. Methods: A systematic literature search was performed in MEDLINE via Pubmed. MeSH terms used were: non-alcoholic fatty liver disease [MeSH Major Topic] AND metabolic syndrome [MeSH Term] AND (Diet, Mediterranean [MeSH Term]) OR (Exercise [MeSH Term]). (PROSPERO ID: 2021 CRD42021289495). Results: Thirteen articles were selected and divided into two categories (four focused on Mediterranean diet and NAFLD and nine focused on Mediterranean diet, physical activity, and NAFLD). Information of clinical endpoints was based on NAFLD, as well as MetS, body mass index, fasting glycemia, obesity, cholesterol, triglycerides, transaminases, albuminuria, and hepatic steatosis, among others. All studies found beneficial associations between the clinical parameters of NAFLD/MetS and following a Mediterranean diet and regular physical activity. Conclusions: An effective treatment that prevents, and even reverses, NAFLD is to adapt lifestyle to the Mediterranean one, based on a Mediterranean diet and regular physical activity.
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Gallardo-Alfaro L, Bibiloni MDM, Bouzas C, Mascaró CM, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Micó RM, Pintó X, Gaforio JJ, Ortíz-Ramos M, Altés-Boronat A, Luca BL, Daimiel L, Ros E, Sayon-Orea C, Becerra-Tomás N, Gimenez-Alba IM, Castañer O, Abete I, Tojal-Sierra L, Pérez-López J, Torres-Collado L, Colom A, Garcia-Rios A, Castro-Barquero S, Bernal R, Santos-Lozano JM, Fernandez-Lazaro CI, Hernández-Alonso P, Saiz C, Zomeño MD, Zulet MA, Belló-Mora MC, Basterra-Gortari FJ, Canudas S, Goday A, Tur JA. Physical activity and metabolic syndrome severity among older adults at cardiovascular risk: 1-Year trends. Nutr Metab Cardiovasc Dis 2021; 31:2870-2886. [PMID: 34366176 DOI: 10.1016/j.numecd.2021.06.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/08/2021] [Accepted: 06/21/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND AIMS Modifiable lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease metabolic syndrome (MetS). The aim was to assess 1-year changes of leisure-time physical activity (LTPA), sedentary behavior, and diet quality according to MetS severity in older population at high cardiovascular risk. METHODS AND RESULTS Prospective analysis of 55-75-year-old 4359 overweight/obese participants with MetS (PREDIMED-Plus trial) categorized in tertiles according to 1-year changes of a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, triglycerides and glucose index, dietary nutrient intake, biochemical marker levels, dietary inflammatory index, and depression symptoms were measured. Diet quality was assessed by 17-item MD questionnaire. PAs were self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire and 30-s chair stand test. Sedentary behaviors were measured using the Spanish version of the Nurses' Health Study questionnaire. After 1-year follow-up, decreasing MetSSS was associated with an anti-inflammatory dietary pattern, high intake of vegetables, fruits, legumes, nuts, whole grain cereals, white fish, and bluefish and low intake of refined cereals, red and processed meat, cookies/sweets, and snacks/ready-to-eat-meals. It resulted in high intake of polyunsaturated fatty acids, omega-3 fatty acids, protein, fiber, vitamins B1, B6, B9, C, D, potassium, magnesium, and phosphorus and low glycemic index and saturated fatty acid, trans fatty acid, and carbohydrates intake. Regarding PA and sedentary behavior, decreasing MetSSS was associated with increased moderate-to-vigorous LTPA, chair stand test, and decreased sedentary and TV-viewing time. CONCLUSION Decreasing MetSSS was associated with an anti-inflammatory dietary pattern, high LTPA, high MD adherence, low sedentary time, and low depression risk.
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Affiliation(s)
- Laura Gallardo-Alfaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 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; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Catalina M Mascaró
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Cardiometabolics 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
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; 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; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, 46020 Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; 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; Virgen de la Victoria Hospital, Department of Endocrinology, 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; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - Rafael M Micó
- CIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, 24071 Leon, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071 Jaen, Spain
| | - María Ortíz-Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040 Madrid, Spain
| | - Andreu Altés-Boronat
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Bogdana L Luca
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program.IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Carmen Sayon-Orea
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Servicio Navarro de Salud, Osasunbidea, 31003, Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; 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; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, 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; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Laura Torres-Collado
- Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, 46020 Alicante, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Rosa Bernal
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, 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; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Cesar I Fernandez-Lazaro
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain
| | - Pablo Hernández-Alonso
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; 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; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Maria C Belló-Mora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - F Javier Basterra-Gortari
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Servicio Navarro de Salud, Osasunbidea, 31003, Pamplona, Spain
| | - Silvia Canudas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; 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; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
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Aryannejad A, Eghtesad S, Rahimi Z, Mohammadi Z, Malihi R, Danehchin L, Paridar Y, Abolnezhadian F, Cheraghian B, Mard A, Gholami B, Zakeri AM, Tabary M, Masoudi S, Naderian MR, Shayesteh AA, Poustchi H. Metabolic syndrome and lifestyle-associated factors in the ethnically diverse population of Khuzestan, Iran: a cross-sectional study. J Diabetes Metab Disord 2021; 20:747-756. [PMID: 34222089 DOI: 10.1007/s40200-021-00811-5] [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: 12/03/2020] [Accepted: 04/27/2021] [Indexed: 12/01/2022]
Abstract
Purpose Metabolic syndrome (MetS) is a cluster of risk factors, mainly central obesity, insulin resistance, and dyslipidemia, leading to life-threatening cardiovascular diseases. The prevalence of MetS can vary based on different ethnicities and many cultural and lifestyle factors. Aims We aimed to evaluate the prevalence of MetS and possible correlations with lifestyle-associated factors among different ethnicities in Khuzestan, Iran. Methods This cross-sectional study was conducted in Khuzestan province of Iran, among 30,504 participants aged 20-65 years, between October 2016 and November 2019. Data was collected through questionnaires along with anthropometric and biological measurements. The National Cholesterol Education Program Adult Treatment Panel III definition was used to estimate MetS prevalence. Results Overall, 31.9% (95% CI 31.4-32.4) had MetS (34.2% [95% CI 33.3-35.1] among males; 30.7% [95% CI 30.0-31.3] among females [p < 0.001]). Central obesity, elevated fasting blood sugar levels, and dyslipidemia were the most common abnormalities among those with MetS. The risk of MetS was estimated to increase by age, male gender, residing in urban regions, lower educational levels, lower physical activity levels, lower sleep time, and a positive family history of diabetes mellitus (p < 0.001). Individuals of the Arab and Bakhtiary ethnicities had the highest and lowest risk of MetS, respectively. Conclusion MetS prevalence varied among different ethnicities. Aging and some lifestyle-associated factors such as physical activity and sleep time were related to the risk of MetS. Raising awareness about risk factors of MetS would be of great value in setting new health policies to manage the rising trend of MetS.
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Affiliation(s)
- Armin Aryannejad
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sareh Eghtesad
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Rahimi
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Zahra Mohammadi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Malihi
- Abadan Faculty of Medical Sciences, Abadan, Iran
| | | | - Yousef Paridar
- School of Medicine, Dezful University of Medical Science, Dezful, Iran
| | - Farhad Abolnezhadian
- Shoshtar Faculty of Medical Sciences, Shoshtar, Iran.,Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahman Cheraghian
- Alimentary Tract Research Center, Imam Khomeini Hospital, Clinical Research Development Unit, Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ali Mard
- Alimentary Tract Research Center, Imam Khomeini Hospital, Clinical Research Development Unit, the School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahareh Gholami
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Mohammad Zakeri
- School of Medicine, Islamic Azad University Tehran Medical Sciences, Tehran, Iran
| | - Mohammadreza Tabary
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Masoudi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Naderian
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Akbar Shayesteh
- Alimentary Tract Research Center, Imam Khomeini Hospital, Clinical Research Development Unit, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.,Digestive Diseases Research Institute, Shariati Hospital, North Karegar St., 1411713135 Tehran, Iran
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.,Digestive Diseases Research Institute, Shariati Hospital, North Karegar St., 1411713135 Tehran, Iran
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39
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The Role of Lifestyle, Eating Habits and Social Environment in the Prevention and Treatment of Type 2 Diabetes and Hypertension. Nutrients 2021; 13:nu13051460. [PMID: 33922994 PMCID: PMC8146863 DOI: 10.3390/nu13051460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 04/22/2021] [Indexed: 12/05/2022] Open
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40
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Pérez Unanua MP, Alonso Fernández M, López Simarro F, Soriano Llora T, Peral Martínez I, Mancera Romero J. [Adherence to healthy lifestyle behaviours in patients with type 2 diabetes in Spain]. Semergen 2020; 47:161-169. [PMID: 33160855 DOI: 10.1016/j.semerg.2020.08.009] [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: 06/14/2020] [Revised: 08/03/2020] [Accepted: 08/09/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES The aim of this study was to report on the main lifestyle components and related factors in adults with diabetes type 2 treated in Primary Care clinics in Spain. MATERIAL AND METHODS A cross-sectional and multicentre study was performed on a consecutive sample of patients with type 2 diabetes attending 25 Primary Care clinics between April 2018 and April 2019. Data were collected by auditing the computerised medical records, and an interview. An analysis was carried out on adherence to 4 healthy lifestyle trends (Mediterranean diet, regular exercise, not smoking, and emotional well-being). RESULTS A total of 412 patients were included in the analysis (mean age 69 (SD 8.65) years; 50.2% men). Only a minority was highly adherent to the Mediterranean diet, 92 (22.3%). Regular physical activity was carried out by 189 (45.8%). A total of 361 (87.6%) were non-smoking, and 259 (62.8%) felt emotional well-being. A small number (9, 2.1%) of patients had not followed any of the healthy lifestyle recommendations, with 87 (21.1%) following one, 145 (35.1%) two, 128 (31%) three, and 43 (10.4%) all 4 healthy habits: diet, exercise, not smoking, and emotional well-being. Healthy lifestyle adherence was related to gender. Obesity is poorly associated with adherence to diet and physical activity. The results for age, time with the disease, socioeconomic status, and treatment regimen were not consistent. CONCLUSIONS This study suggest that adherence to a healthy lifestyle pattern in DM2 is low. Less than a quarter follow a healthy diet, and less than a half practice regular exercise. Gender is the variable that most influences a healthy lifestyle in DM2, but not age, time with the disease, or treatment regimen.
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Affiliation(s)
| | | | - F López Simarro
- Área Básica de Salud Martorell, Martorell, Barcelona, España
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41
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Shih DP, Wen CT, Kuo HW, Liang WM, Liu LF, Su CT, Wang JY. Spousal Concordance in Dietary Behaviors and Metabolic Components, and Their Association: A Cross-Sectional Study. Nutrients 2020; 12:nu12113332. [PMID: 33138145 PMCID: PMC7692615 DOI: 10.3390/nu12113332] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/20/2020] [Accepted: 10/27/2020] [Indexed: 12/17/2022] Open
Abstract
This study aims to investigate spousal concordance in dietary behaviors, spousal concordance in metabolic components (MCs), and their association. A cross-sectional survey was conducted in Taiwan from November 2014 to May 2015. Matched-pair analysis, McNemar’s test, logistic regression analysis, and stratified analysis were performed. A total of 901 pairs of spouses (1802 participants) were analyzed. Husbands were less likely to report intakes of high-fiber food (ORMP (matched pairs odds ratio) = 0.30, p < 0.0001), fish (ORMP = 0.74, p = 0.0128), biscuits or cakes (ORMP = 0.60, p < 0.0001), and fast food (ORMP = 0.65, p = 0.01) compared with their wives. Husbands had significantly higher odds of being overweight (ORMP = 2.34, p < 0.0001); and of having hypertension (ORMP = 2.14, p < 0.0001), hypercholesterolemia (ORMP = 1.75, p = 0.0007), hyperlipidemia (ORMP = 2.96, p < 0.0001), and one or more metabolic components (composite MCs) (ORMP = 2.50, p < 0.0001) compared with their wives. After adjusting for age and education, the spousal concordance in high-fiber food intake was inversely associated with the spousal concordance in composite MCs (aOR = 0.62, 95% CI = 0.44–0.88, p = 0.0074), whereas the spousal concordance in processed food intake was positively associated with the concordance in composite MCs (aOR (adjusted odds ratio) = 1.56, 95% CI (Confidence Interval) = 1.03–2.36, p = 0.034). An intervention study for couples with intakes of different fiber foods and/or processed foods is critical for future study, in order to test what kinds of fiber foods/processed foods are associated with the development of the spousal concordance of metabolic components.
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Affiliation(s)
- Dann-Pyng Shih
- Department of Public Health, China Medical University, Taichung City 406040, Taiwan;
- Center for Teaching Excellence, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Chu-Ting Wen
- Strategy Planning Office, Cheng Ching Hospital, Taichung 40764, Taiwan;
| | - Hsien-Wen Kuo
- Institute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei 11221, Taiwan;
- National Defense Medical Center, School of Public Health, Taipei 11490, Taiwan
| | - Wen-Miin Liang
- Department of Health Services Administration, China Medical University, Taichung City 406040, Taiwan;
| | - Li-Fan Liu
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan;
| | - Chien-Tien Su
- Department of Family Medicine, Taipei Medical University Hospital, Taipei 110301, Taiwan;
- School of Public Health, College of Public Health, Taipei Medical University, Taipei 110301, Taiwan
| | - Jong-Yi Wang
- Department of Health Services Administration, China Medical University, Taichung City 406040, Taiwan;
- Correspondence: ; Tel.: +886-4-2205-3366 (ext. 6313)
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