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Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort

Despite continuous growth in dietary pattern research, the relative importance of each dietary component in the overall pattern and their joint effects on mortality risk have not been examined adequately. We explored the individual and joint associations of multiple food groups with all-cause and ca...

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Autores principales: Yang, Jingli, Yang, Aimin, Yeung, Suey, Woo, Jean, Lo, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573629/
https://www.ncbi.nlm.nih.gov/pubmed/36235568
http://dx.doi.org/10.3390/nu14193915
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author Yang, Jingli
Yang, Aimin
Yeung, Suey
Woo, Jean
Lo, Kenneth
author_facet Yang, Jingli
Yang, Aimin
Yeung, Suey
Woo, Jean
Lo, Kenneth
author_sort Yang, Jingli
collection PubMed
description Despite continuous growth in dietary pattern research, the relative importance of each dietary component in the overall pattern and their joint effects on mortality risk have not been examined adequately. We explored the individual and joint associations of multiple food groups with all-cause and cause-specific mortality (cardiovascular disease (CVD) or cancer), by analyzing data from a cohort of 3995 Hong Kong Chinese older adults in the Mr. Osteoporosis (OS) and Ms. OS Study. Cox proportional hazards models were used to examine the associations of food groups with mortality risk. The individual and joint contribution of food groups to mortality risk has been quantified by a machine learning approach, i.e., the Quantile G-Computation. When comparing the highest with the lowest quartile of intake, dark green and leafy vegetables (hazard ratio (HR) = 0.82, 95% confidence interval (CI) = 0.70 to 0.96, P(trend) = 0.049), fruit (HR = 0.79, 95% CI = 0.68 to 0.93, P(trend) = 0.006), legumes (HR = 0.75, 95% CI = 0.63 to 0.87, P(trend) = 0.052), mushroom and fungi (HR = 0.76, 95% CI = 0.65 to 0.88, P(trend) = 0.023), soy and soy products (HR = 0.77, 95% CI = 0.66 to 0.90, P(trend) = 0.143), and whole grains (HR = 0.76, 95% CI = 0.65 to 0.89, P(trend) = 0.008) were inversely associated with all-cause mortality. Legume intake was associated with a lower risk of CVD mortality, while fruit, nuts, soy and soy products were associated with a lower risk of cancer mortality. From the Quantile G-Computation, whole grains, legumes, fruits, mushroom and fungi, soy and soy products had a higher relative weighting on mortality risk, and the joint effect of food groups was inversely associated with the mortality risk due to all-causes (HR = 0.39, 95% CI = 0.27 to 0.55), CVD (HR = 0.78, 95% CI = 0.67 to 0.91), and cancer (HR = 0.31, 95% CI = 0.15 to 0.65). From a sex-stratified analysis, most associations between food groups (whole grains, legumes, fruits, mushroom and fungi, soy and soy products) and mortality risk remained significant among men. In conclusion, whole grains, legumes, fruits, mushroom and fungi, soy and soy products were the main contributors to a reduction in mortality risk, and their joint effects were stronger than individual food groups. Moreover, the sex-specific association of sweets and desserts with cancer mortality may be worth further investigation.
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spelling pubmed-95736292022-10-17 Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort Yang, Jingli Yang, Aimin Yeung, Suey Woo, Jean Lo, Kenneth Nutrients Article Despite continuous growth in dietary pattern research, the relative importance of each dietary component in the overall pattern and their joint effects on mortality risk have not been examined adequately. We explored the individual and joint associations of multiple food groups with all-cause and cause-specific mortality (cardiovascular disease (CVD) or cancer), by analyzing data from a cohort of 3995 Hong Kong Chinese older adults in the Mr. Osteoporosis (OS) and Ms. OS Study. Cox proportional hazards models were used to examine the associations of food groups with mortality risk. The individual and joint contribution of food groups to mortality risk has been quantified by a machine learning approach, i.e., the Quantile G-Computation. When comparing the highest with the lowest quartile of intake, dark green and leafy vegetables (hazard ratio (HR) = 0.82, 95% confidence interval (CI) = 0.70 to 0.96, P(trend) = 0.049), fruit (HR = 0.79, 95% CI = 0.68 to 0.93, P(trend) = 0.006), legumes (HR = 0.75, 95% CI = 0.63 to 0.87, P(trend) = 0.052), mushroom and fungi (HR = 0.76, 95% CI = 0.65 to 0.88, P(trend) = 0.023), soy and soy products (HR = 0.77, 95% CI = 0.66 to 0.90, P(trend) = 0.143), and whole grains (HR = 0.76, 95% CI = 0.65 to 0.89, P(trend) = 0.008) were inversely associated with all-cause mortality. Legume intake was associated with a lower risk of CVD mortality, while fruit, nuts, soy and soy products were associated with a lower risk of cancer mortality. From the Quantile G-Computation, whole grains, legumes, fruits, mushroom and fungi, soy and soy products had a higher relative weighting on mortality risk, and the joint effect of food groups was inversely associated with the mortality risk due to all-causes (HR = 0.39, 95% CI = 0.27 to 0.55), CVD (HR = 0.78, 95% CI = 0.67 to 0.91), and cancer (HR = 0.31, 95% CI = 0.15 to 0.65). From a sex-stratified analysis, most associations between food groups (whole grains, legumes, fruits, mushroom and fungi, soy and soy products) and mortality risk remained significant among men. In conclusion, whole grains, legumes, fruits, mushroom and fungi, soy and soy products were the main contributors to a reduction in mortality risk, and their joint effects were stronger than individual food groups. Moreover, the sex-specific association of sweets and desserts with cancer mortality may be worth further investigation. MDPI 2022-09-21 /pmc/articles/PMC9573629/ /pubmed/36235568 http://dx.doi.org/10.3390/nu14193915 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Yang, Jingli
Yang, Aimin
Yeung, Suey
Woo, Jean
Lo, Kenneth
Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title_full Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title_fullStr Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title_full_unstemmed Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title_short Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort
title_sort joint associations of food groups with all-cause and cause-specific mortality in the mr. os and ms. os study: a prospective cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573629/
https://www.ncbi.nlm.nih.gov/pubmed/36235568
http://dx.doi.org/10.3390/nu14193915
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