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A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans
Favourable body composition has been associated with higher dietary protein intake. However, little is known regarding this relationship in a population of Chinese Americans (CHA), who have lower BMI compared with other populations. The aim of the present study was to assess the relationship between...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360195/ https://www.ncbi.nlm.nih.gov/pubmed/30746125 http://dx.doi.org/10.1017/jns.2018.31 |
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author | Popp, Collin J. Beasley, Jeannette M. Yi, Stella S. Hu, Lu Wylie-Rosett, Judith |
author_facet | Popp, Collin J. Beasley, Jeannette M. Yi, Stella S. Hu, Lu Wylie-Rosett, Judith |
author_sort | Popp, Collin J. |
collection | PubMed |
description | Favourable body composition has been associated with higher dietary protein intake. However, little is known regarding this relationship in a population of Chinese Americans (CHA), who have lower BMI compared with other populations. The aim of the present study was to assess the relationship between dietary protein intake, fat mass (FM) and fat-free mass (FFM) in CHA. Data were from the Chinese American Cardiovascular Health Assessment (CHA CHA) 2010–2011 (n 1707); dietary intake was assessed using an adapted and validated FFQ. Body composition was assessed using bioelectrical impedance analysis. The associations between protein intake (% energy intake) and BMI, percentage FM (FM%), percentage FFM (FFM%), FM index (FMI) and FFM index (FFMI) were examined using multiple linear regression adjusted for age, sex, physical activity, acculturation, total energy intake, sedentary time, smoking status, education, employment and income. There was a significant positive association between dietary protein and BMI (B = 0·056, 95 % CI 0·017, 0·104; P = 0·005), FM (B = 0·106, 95 % CI 0·029, 0·184; P = 0·007), FM% (B = 0·112, 95 % CI 0·031, 0·194; P = 0·007) and FMI (B = 0·045, 95 % CI 0·016, 0·073; P = 0·002). There was a significant negative association between dietary protein and FFM% (B = −0·116, 95 % CI −0·196, −0·036; P = 0·004). In conclusion, higher dietary protein intake was associated with higher adiposity; however, absolute FFM and FFMI were not associated with dietary protein intake. Future work examining the relationship between protein source (i.e. animal) and body composition is warranted in this population of CHA. |
format | Online Article Text |
id | pubmed-6360195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63601952019-02-11 A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans Popp, Collin J. Beasley, Jeannette M. Yi, Stella S. Hu, Lu Wylie-Rosett, Judith J Nutr Sci Research Article Favourable body composition has been associated with higher dietary protein intake. However, little is known regarding this relationship in a population of Chinese Americans (CHA), who have lower BMI compared with other populations. The aim of the present study was to assess the relationship between dietary protein intake, fat mass (FM) and fat-free mass (FFM) in CHA. Data were from the Chinese American Cardiovascular Health Assessment (CHA CHA) 2010–2011 (n 1707); dietary intake was assessed using an adapted and validated FFQ. Body composition was assessed using bioelectrical impedance analysis. The associations between protein intake (% energy intake) and BMI, percentage FM (FM%), percentage FFM (FFM%), FM index (FMI) and FFM index (FFMI) were examined using multiple linear regression adjusted for age, sex, physical activity, acculturation, total energy intake, sedentary time, smoking status, education, employment and income. There was a significant positive association between dietary protein and BMI (B = 0·056, 95 % CI 0·017, 0·104; P = 0·005), FM (B = 0·106, 95 % CI 0·029, 0·184; P = 0·007), FM% (B = 0·112, 95 % CI 0·031, 0·194; P = 0·007) and FMI (B = 0·045, 95 % CI 0·016, 0·073; P = 0·002). There was a significant negative association between dietary protein and FFM% (B = −0·116, 95 % CI −0·196, −0·036; P = 0·004). In conclusion, higher dietary protein intake was associated with higher adiposity; however, absolute FFM and FFMI were not associated with dietary protein intake. Future work examining the relationship between protein source (i.e. animal) and body composition is warranted in this population of CHA. Cambridge University Press 2019-01-30 /pmc/articles/PMC6360195/ /pubmed/30746125 http://dx.doi.org/10.1017/jns.2018.31 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Popp, Collin J. Beasley, Jeannette M. Yi, Stella S. Hu, Lu Wylie-Rosett, Judith A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title | A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title_full | A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title_fullStr | A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title_full_unstemmed | A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title_short | A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans |
title_sort | cross-sectional analysis of dietary protein intake and body composition among chinese americans |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360195/ https://www.ncbi.nlm.nih.gov/pubmed/30746125 http://dx.doi.org/10.1017/jns.2018.31 |
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