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      Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms

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          Abstract

          Objective

          We aimed to identify dietary patterns (DPs) of Portuguese adults, to assess their socioeconomic, demographic, lifestyle determinants, and to identify their impact on health.

          Design

          EpiDoC 2 study included 10,153 Portuguese adults from the EpiDoC Cohort, a population-based study. In this study, trained research assistants using computer-assisted telephone interview collected socioeconomic, demographic, dietary, lifestyles, and health information from March 2013 to July 2015. Cluster analysis was performed, based on questions regarding the number of meals, weekly frequency of soup consumption, vegetables, fruit, meat, fish, dairy products, and daily water intake. Factors associated with DP were identified through logistic regression models.

          Results

          Two DPs were identified: the “meat dietary pattern” and the “fruit & vegetables dietary pattern.” After multivariable adjustment, women (OR = 0.52; p < 0.001), older adults (OR = 0.97; p < 0.001), and individuals with more years of education (OR = 0.96; p = 0.025) were less likely to adopt the “meat dietary pattern,” while individuals in a situation of job insecurity/unemployment (OR = 1.49; p = 0.013), Azores island residents (OR = 1.40; p = 0.026), current smoking (OR = 1.58; p = 0.001), daily alcohol intake (OR = 1.46; p = 0.023), and physically inactive (OR = 1.86; p < 0.001) were positively and significantly associated with “meat dietary pattern.” Moreover, individuals with depression symptoms (OR = 1.50; p = 0.018) and the ones who did lower number of medical appointments in the previous year (OR = 0.98; p = 0.025) were less likely to report this DP.

          Conclusion

          Our results suggest that unhealthy DPs (meat DP) are part of a lifestyle behavior that includes physical inactivity, smoking habits, and alcohol consumption. Moreover, depression symptoms are also associated with unhealthy DPs.

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          Most cited references49

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          The prevalence and clustering of four major lifestyle risk factors in an English adult population.

          The aim of this study was to examine the clustering of four major lifestyle risk factors (smoking, heavy drinking, lack of fruit and vegetables consumption, and lack of physical activity), and to examine the variation across different socio-demographic groups in the English adult population. The study population was derived from the 2003 Health Survey for England (n=11,492). Clustering was examined by comparing the observed and expected prevalence of the different possible combinations. A multinomial multilevel regression model was conducted to examine the socio-demographic variation in the clustering of the four risk factors. The study found that, when using British health recommendations, a majority of the English population have multiple lifestyle risk factors at the same time. Clustering was found at both ends of the lifestyle spectrum and was more pronounced for women than for men. Overall, multiple risk factors were more prevalent among men, lower social class households, singles, and people who are economically inactive, but less prevalent among home owners and older age groups. The clustering of multiple risk factors provides support for multiple-behavior interventions as opposed to single-behavior interventions.
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            A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise.

            Research on major depression has confirmed that it is caused by an array of biopsychosocial and lifestyle factors. Diet, exercise and sleep are three such influences that play a significant mediating role in the development, progression and treatment of this condition. This review summarises animal- and human-based studies on the relationship between these three lifestyle factors and major depressive disorder, and their influence on dysregulated pathways associated with depression: namely neurotransmitter processes, immuno-inflammatory pathways, hypothalamic-pituitary-adrenal (HPA) axis disturbances, oxidative stress and antioxidant defence systems, neuroprogression, and mitochondrial disturbances. Increased attention in future clinical studies on the influence of diet, sleep and exercise on major depressive disorder and investigations of their effect on physiological processes will help to expand our understanding and treatment of major depressive disorder. Mental health interventions, taking into account the bidirectional relationship between these lifestyle factors and major depression are also likely to enhance the efficacy of interventions associated with this disorder. Copyright © 2013 Elsevier B.V. All rights reserved.
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              Diet and overall survival in elderly people.

              To assess the influence of a specific dietary pattern on overall survival. Cohort study. Three rural Greek villages, the data from which were collected as part of an international cross cultural study of food habits in later life. 182 elderly residents of the three villages. Overall mortality. Diet was assessed with a validated extensive semiquantitative questionnaire on food intake. A one unit increase in diet score, devised a priori on the basis of eight component characteristics of the traditional common diet in the Mediterranean region, was associated with a significant 17% reduction in overall mortality (95% confidence interval 1% to 31%). A diet meeting currently understood health criteria does predict survival among people.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                14 June 2017
                2017
                : 4
                : 25
                Affiliations
                [1] 1EpiDoC Unit, Centro de Estudos de Doenças Crónicas (CEDOC) da NOVA Medical School, Universidade Nova de Lisboa (NMS/UNL) , Lisboa, Portugal
                [2] 2Escola Superior de Saúde do Instituto Politécnico de Leiria , Leiria, Portugal
                [3] 3Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto , Porto, Portugal
                [4] 4Programa Nacional para a Promoção da Alimentação Saudável, Direção-Geral da Saúde , Lisboa, Portugal
                [5] 5Sociedade Portuguesa de Reumatologia , Lisboa, Portugal
                [6] 6Rheumatology Research Unit, Instituto de Medicina Molecular , Lisboa, Portugal
                [7] 7Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology , Trondheim, Norway
                [8] 8NTNU Center for Health Promotion Research , Trondheim, Norway
                [9] 9NOVA Information Management School, Universidade Nova de Lisboa , Lisboa, Portugal
                [10] 10Serviço de Reumatologia do Hospital Egas Moniz – Centro Hospitalar Lisboa Ocidental (CHLO – E.P.E.) , Lisboa, Portugal
                Author notes

                Edited by: Kelly Costello Allison, Perelman School of Medicine, United States

                Reviewed by: Ulrich Schweiger, Lübeck University Medical School, Germany; Rebecca L. Emery, University of Pittsburgh, United States

                *Correspondence: Helena Canhão, helena.canhao@ 123456nms.unl.pt

                These authors have contributed equally to this work.

                Specialty section: This article was submitted to Eating Behavior, a section of the journal Frontiers in Nutrition

                Article
                10.3389/fnut.2017.00025
                5469910
                28660194
                696a21a2-1c1b-4b7b-bf72-7adcc0c49d16
                Copyright © 2017 Gregório, Rodrigues, Eusébio, Sousa, Dias, André, Grønning, Coelho, Mendes, Graça, Espnes, Branco and Canhão.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 April 2017
                : 29 May 2017
                Page count
                Figures: 2, Tables: 6, Equations: 0, References: 69, Pages: 12, Words: 9127
                Categories
                Nutrition
                Original Research

                dietary patterns,lifestyles behaviors,health status,mental health,portugal

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