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      Inequalities in food acquisition according to the social profiles of the head of households in Brazil Translated title: Desigualdades na aquisição de alimentos de acordo com a renda e os perfis sociais do chefe de família no Brasil

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          Abstract

          Abstract Brazil is characterized by strong social inequalities and differences in access to quality food and sufficient quantities of it, which represent a violation of the human right to adequate food. The aim was to assess food expenditures according to the social profiles of the head of the households. Data from the cross-sectional Brazilian Household Budget Survey (2017/2018) were used with a nationally representative sample of household survey participants (n=52,917). Poisson regression was used to estimate prevalence ratios (PR) to assess the association of different social profiles with the acquisition of food. The profile characterized by woman self-classified as white, with a higher education, which characteristics were positively and significantly associated with more acquisition of fruits (PR=1.22; CI95% 1.09-1.36) and vegetables and greens (PR=1.24; CI95% 1.09-1.41). Black women with low education levels showed a negative association with the consumption of soda (PR=0.53; CI95% 0.45-0.62), and prepared food (PR=0.52; CI95% 0.37-0.74). The results reveal great inequalities in the purchase of food between the social profiles of the heads of the family.

          Translated abstract

          Resumo O Brasil é caracterizado por fortes desigualdades sociais e diferenças no acesso a alimentos de qualidade e em quantidade suficiente, o que representa uma violação do direito humano à alimentação adequada. O objetivo foi avaliar os gastos com alimentação de acordo com o perfil social do responsável pelo domicílio. Dados da Pesquisa de Orçamentos Familiares Brasileiros de corte transversal (2017/2018) foram usados com uma amostra nacionalmente representativa de participantes da pesquisa domiciliar (n=52.917). A regressão de Poisson foi utilizada para estimar razões de prevalência (RP) para avaliar a associação de diferentes perfis sociais com a aquisição de alimentos. O perfil caracterizado pela mulher auto classificada como branca, com maior escolaridade, cujas características estiveram positiva e significativamente associadas a maior aquisição de frutas (RP=1,22; IC95% 1,09-1,36), verduras e legumes (PR=1,24; IC95% 1,09-1,41) e queijo (RP=1,32; IC95% 1,09-1,59). Mulheres negras com baixa escolaridade apresentaram associação negativa com o consumo de refrigerantes (RP=0,53; IC95% 0,45-0,62) e alimentos preparados (RP=0,52; IC95% 0,37-0,74). Os resultados revelam grandes desigualdades na aquisição de alimentos entre os perfis sociais dos chefes de família.

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          Most cited references34

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          Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background Suboptimal diet is an important preventable risk factor for non-communicable diseases (NCDs); however, its impact on the burden of NCDs has not been systematically evaluated. This study aimed to evaluate the consumption of major foods and nutrients across 195 countries and to quantify the impact of their suboptimal intake on NCD mortality and morbidity. Methods By use of a comparative risk assessment approach, we estimated the proportion of disease-specific burden attributable to each dietary risk factor (also referred to as population attributable fraction) among adults aged 25 years or older. The main inputs to this analysis included the intake of each dietary factor, the effect size of the dietary factor on disease endpoint, and the level of intake associated with the lowest risk of mortality. Then, by use of disease-specific population attributable fractions, mortality, and disability-adjusted life-years (DALYs), we calculated the number of deaths and DALYs attributable to diet for each disease outcome. Findings In 2017, 11 million (95% uncertainty interval [UI] 10–12) deaths and 255 million (234–274) DALYs were attributable to dietary risk factors. High intake of sodium (3 million [1–5] deaths and 70 million [34–118] DALYs), low intake of whole grains (3 million [2–4] deaths and 82 million [59–109] DALYs), and low intake of fruits (2 million [1–4] deaths and 65 million [41–92] DALYs) were the leading dietary risk factors for deaths and DALYs globally and in many countries. Dietary data were from mixed sources and were not available for all countries, increasing the statistical uncertainty of our estimates. Interpretation This study provides a comprehensive picture of the potential impact of suboptimal diet on NCD mortality and morbidity, highlighting the need for improving diet across nations. Our findings will inform implementation of evidence-based dietary interventions and provide a platform for evaluation of their impact on human health annually. Funding Bill & Melinda Gates Foundation.
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            Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake

            We investigated whether ultra-processed foods affect energy intake in 20 weight-stable adults, aged (mean ± SE) 31.2 ± 1.6 years and BMI = 27 ± 1.5 kg/m2. Subjects were admitted to the NIH Clinical Center and randomized to receive either ultra-processed or unprocessed diets for 2 weeks immediately followed by the alternate diet for 2 weeks. Meals were designed to be matched for presented calories, energy density, macronutrients, sugar, sodium, and fiber. Subjects were instructed to consume as much or as little as desired. Energy intake was greater during the ultra-processed diet (508 ± 106 kcal/day; p = 0.0001), with increased consumption of carbohydrate (280 ± 54 kcal/day; p < 0.0001) and fat (230 ± 53 kcal/day; p = 0.0004), but not protein (-2 ± 12 kcal/day; p = 0.85). Weight changes were highly correlated with energy intake (r = 0.8, p < 0.0001), with participants gaining 0.9 ± 0.3 kg (p = 0.009) during the ultra-processed diet and losing 0.9 ± 0.3 kg (p = 0.007) during the unprocessed diet. Limiting consumption of ultra-processed foods may be an effective strategy for obesity prevention and treatment.
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              Shared Risk Factors in Cardiovascular Disease and Cancer.

              Cardiovascular disease (CVD) and cancer are the 2 leading causes of death worldwide. Although commonly thought of as 2 separate disease entities, CVD and cancer possess various similarities and possible interactions, including a number of similar risk factors (eg, obesity, diabetes mellitus), suggesting a shared biology for which there is emerging evidence. Although chronic inflammation is an indispensable feature of the pathogenesis and progression of both CVD and cancer, additional mechanisms can be found at their intersection. Therapeutic advances, despite improving longevity, have increased the overlap between these diseases, with millions of cancer survivors now at risk of developing CVD. Cardiac risk factors have a major impact on subsequent treatment-related cardiotoxicity. In this review, we explore the risk factors common to both CVD and cancer, highlighting the major epidemiological studies and potential biological mechanisms that account for them.
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                Author and article information

                Journal
                csc
                Ciência & Saúde Coletiva
                Ciênc. saúde coletiva
                ABRASCO - Associação Brasileira de Saúde Coletiva (Rio de Janeiro, RJ, Brazil )
                1413-8123
                1678-4561
                November 2022
                : 27
                : 11
                : 4303-4314
                Affiliations
                [2] Rio de Janeiro Rio de Janeiro orgnameUniversidade do Estado do Rio de Janeiro orgdiv1Instituto de Medicina Social orgdiv2Departamento de Epidemiologia Brazil
                [1] Rio de Janeiro Rio de Janeiro orgnameUniversidade Federal do Rio de Janeiro orgdiv1Instituto de Nutrição Josué de Castro orgdiv2Departamento de Nutrição Social e Aplicada Brazil michelesgambato@ 123456hotmail.com
                Article
                S1413-81232022001104303 S1413-8123(22)02701104303
                10.1590/1413-812320222711.01582022
                36259850
                539859b4-9c99-4404-ab6e-39f72aff661a

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 06 July 2022
                : 14 October 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 12
                Product

                SciELO Public Health

                Categories
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                Population surveys,Brasil,Inequalities,Food,Income,Brazil,Inquéritos populacionais,Desigualdades,Alimentos,Renda

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