Výsledky vyhledávání - "Mateus L. Macena"

Prevalence of food addiction determined by the Yale Food Addiction Scale and associated factors: A systematic review with meta‐analysis

Autor: Dafiny R. S. Praxedes, André E. Silva‐Júnior, Mateus L. Macena, Ana Débora Oliveira, Kamyla S. Cardoso, Lara O. Nunes, Maíra B. Monteiro, Ingrid Sofia V. Melo, Ashley N. Gearhardt, Nassib Bezerra Bueno

Publikováno v: European Eating Disorders Review. 30:85-95

To determine, through a systematic review with meta-analysis, the prevalence of food addiction (FA) using the Yale Food Addiction Scale (YFAS) and its derivatives exploring possible factors associated with the prevalence of FA in several contexts.The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4249c0e483e00f7b14cef23f5dcf3ef
https://doi.org/10.1002/erv.2878

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The relationship between total energy expenditure and physical activity level in women living in an impoverished Brazilian urban area

Autor: Mateus L. Macena, Daniel J. Hoffman, Ana Paula Clemente, Eduardo Ferriolli, Karina Pfrimer, Telma Maria T. Florêncio, Nassib B. Bueno

Publikováno v: American journal of human biology : the official journal of the Human Biology CouncilREFERENCES. 34(9)

This study aimed to describe how strong is the relationship between TEE and PAL in women living in an impoverished Brazilian urban area.Anthropometric, hormonal (insulin, TSH, FTMost participants (89.1%, n = 49) were classified as low-active. There w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17bbc68d6672617045a10bccc665b7a
https://pubmed.ncbi.nlm.nih.gov/35809076

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Agreement between the total energy expenditure calculated with accelerometry data and the BMR yielded by predictive equations

Autor: Mateus L, Macena, Isabele R O M, Pureza, Ingrid S V, Melo, Ana G, Clemente, Haroldo S, Ferreira, Telma M M T, Florêncio, Karina, Pfrimer, Eduardo, Ferrioli, Ana L, Sawaya, Nassib B, Bueno

Publikováno v: The British journal of nutrition. 122(12)

Low-income women are the group with the highest levels of obesity worldwide. In low-income settings, the use of predictive equations, which yield a measure of the individuals' BMR, is a feasible approach to estimate the individuals' total energy expe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::af98f46318fff814de3fdc849232f606
https://pubmed.ncbi.nlm.nih.gov/31554523

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