4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Eating in the Amazon: Nutritional Status of the Riverine Populations and Possible Nudge Interventions

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Amazon is the largest tropical forest in the world and a source of healthy food, such as fruits and fish. Surprisingly, the Amazonian riverine population present an increased prevalence (as high as 58%) of non-communicable diseases, such as hypertension and insulin resistance, even higher than that described for the urban population of the Amazon. Therefore, this work aimed to analyze the nutritional status and associated risk of the riverine population. Body mass index, waist circumference (WC), waist-to-hip ratio, and neck circumference (NC) were evaluated, and risk analysis was assayed. Furthermore, data about occupation and the prevalence of consumers of the different groups of food were analyzed. All anthropometric parameters revealed high proportions of individuals at risk, WC and NC being the factors that had more high-risk women and men, respectively. Our data confirmed the characteristic profile of the riverine communities with a high number of fish consumers, but also observed different patterns probably associated to a phenomenon of nutrition transition. Based on our data, some nudge interventions that take into account the principles of behavior analysis are discussed and proposed for these populations, aiming to improve the nutritional status and avoid the long-term consequences of the results showed by this work.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity

          Despite decades of unequivocal evidence that waist circumference provides both independent and additive information to BMI for predicting morbidity and risk of death, this measurement is not routinely obtained in clinical practice. This Consensus Statement proposes that measurements of waist circumference afford practitioners with an important opportunity to improve the management and health of patients. We argue that BMI alone is not sufficient to properly assess or manage the cardiometabolic risk associated with increased adiposity in adults and provide a thorough review of the evidence that will empower health practitioners and professional societies to routinely include waist circumference in the evaluation and management of patients with overweight or obesity. We recommend that decreases in waist circumference are a critically important treatment target for reducing adverse health risks for both men and women. Moreover, we describe evidence that clinically relevant reductions in waist circumference can be achieved by routine, moderate-intensity exercise and/or dietary interventions. We identify gaps in the knowledge, including the refinement of waist circumference threshold values for a given BMI category, to optimize obesity risk stratification across age, sex and ethnicity. We recommend that health professionals are trained to properly perform this simple measurement and consider it as an important ‘vital sign’ in clinical practice.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Save More Tomorrow™: Using Behavioral Economics to Increase Employee Saving

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Neck circumference as a novel measure of cardiometabolic risk: the Framingham Heart study.

              Neck circumference, a proxy for upper-body sc fat, may be a unique fat depot that confers additional cardiovascular risk above and beyond central body fat. Participants with neck circumference measures who underwent multidetector computed tomography to assess visceral adipose tissue (VAT) were included [n=3307, 48% women; mean age=51 yr; mean body mass index (BMI)=27.8 kg/m2; mean neck circumference=40.5 cm (men) and 34.2 cm (women)]. Sex-specific linear regression models were used to assess the association between sd increase in neck circumference and cardiovascular disease (CVD) risk factors (systolic and diastolic blood pressure; total, low-density lipoprotein, and high-density lipoprotein cholesterol and triglycerides; and fasting plasma glucose, insulin, proinsulin, and homeostasis model assessment of insulin resistance). Neck circumference was correlated with VAT [r=0.63 (men); r=0.74 (women); P<0.001] and BMI [r=0.79 (men); r=0.80 (women); P<0.001]. After further adjustment for VAT, neck circumference was positively associated with systolic blood pressure, diastolic blood pressure in men only, triglycerides, fasting plasma glucose in women only, insulin, proinsulin, and homeostasis model assessment of insulin resistance and was inversely associated with high-density lipoprotein (all P values<0.01). Similar results were observed in models that adjusted for both VAT and BMI. In a secondary analysis of incident CVD as an outcome, there was no statistically significant association observed for neck circumference in multivariable-adjusted models. Neck circumference is associated with CVD risk factors even after adjustment for VAT and BMI. These findings suggest that upper-body sc fat may be a unique, pathogenic fat depot.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Foods
                Foods
                foods
                Foods
                MDPI
                2304-8158
                06 May 2021
                May 2021
                : 10
                : 5
                : 1015
                Affiliations
                [1 ]Laboratório de Farmacologia Molecular, Instituto de Ciências Biológicas, Universidade Federal do Pará, 66075-110 Belém, PA, Brazil; camilalorenarodriguesmachado@ 123456gmail.com (C.L.R.M.); marcusoliveira@ 123456globo.com (M.A.-O.); arrifanogabriela@ 123456gmail.com (G.d.P.A.); amanda.lopes1647@ 123456gmail.com (A.L.-A.); letisacramentolfm@ 123456gmail.com (L.S.-S.)
                [2 ]Laboratório de Neuroquímica Molecular e Celular, Instituto de Ciências Biológicas, Universidade Federal do Pará, 66075-110 Belém, PA, Brazil; barbarella@ 123456ufpa.br
                [3 ]Faculdade de Medicina, Campus de Altamira, Universidade Federal do Pará, 68372-040 Altamira, PA, Brazil; rogerio.souza.monteiro@ 123456gmail.com
                [4 ]Departamento de Bioquímica e Imunologia, Universidade Federal de Minas Gerais, 313270-901 Belo Horizonte, MG, Brazil; jacque.alvarez.leite@ 123456gmail.com
                [5 ]Núcleo de Teoria e Pesquisa do Comportamento, Instituto Nacional de Ciência e Tecnologia Sobre Comportamento, Cognição e Ensino, Universidade Federal do Pará, 66075-110 Belém, PA, Brazil
                Author notes
                [* ]Correspondence: maria.elena.crespo.lopez@ 123456gmail.com (M.E.C.-L.); carlosouza@ 123456ufpa.br (C.B.A.d.S.)
                [†]

                Both authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-1335-6853
                https://orcid.org/0000-0002-4772-9929
                https://orcid.org/0000-0003-2817-3539
                https://orcid.org/0000-0001-8449-3639
                https://orcid.org/0000-0002-4511-7312
                https://orcid.org/0000-0002-4523-6186
                Article
                foods-10-01015
                10.3390/foods10051015
                8148567
                34066557
                c4253bce-d935-4dfa-beae-423b0ee8d057
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 24 March 2021
                : 28 April 2021
                Categories
                Article

                amazonian,riverine population,nutrition,anthropometric data,vulnerable,nudge interventions,behavior analysis

                Comments

                Comment on this article