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Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants

OBJECTIVE: To investigate the association of macronutrient intake with all cause mortality and cardiovascular disease (CVD), and the implications for dietary advice. DESIGN: Prospective population based study. SETTING: UK Biobank. PARTICIPANTS: 195 658 of the 502 536 participants in UK Biobank compl...

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Autores principales: Ho, Frederick K, Gray, Stuart R, Welsh, Paul, Petermann-Rocha, Fanny, Foster, Hamish, Waddell, Heather, Anderson, Jana, Lyall, Donald, Sattar, Naveed, Gill, Jason M R, Mathers, John C, Pell, Jill P, Celis-Morales, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190059/
https://www.ncbi.nlm.nih.gov/pubmed/32188587
http://dx.doi.org/10.1136/bmj.m688
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author Ho, Frederick K
Gray, Stuart R
Welsh, Paul
Petermann-Rocha, Fanny
Foster, Hamish
Waddell, Heather
Anderson, Jana
Lyall, Donald
Sattar, Naveed
Gill, Jason M R
Mathers, John C
Pell, Jill P
Celis-Morales, Carlos
author_facet Ho, Frederick K
Gray, Stuart R
Welsh, Paul
Petermann-Rocha, Fanny
Foster, Hamish
Waddell, Heather
Anderson, Jana
Lyall, Donald
Sattar, Naveed
Gill, Jason M R
Mathers, John C
Pell, Jill P
Celis-Morales, Carlos
author_sort Ho, Frederick K
collection PubMed
description OBJECTIVE: To investigate the association of macronutrient intake with all cause mortality and cardiovascular disease (CVD), and the implications for dietary advice. DESIGN: Prospective population based study. SETTING: UK Biobank. PARTICIPANTS: 195 658 of the 502 536 participants in UK Biobank completed at least one dietary questionnaire and were included in the analyses. Diet was assessed using Oxford WebQ, a web based 24 hour recall questionnaire, and nutrient intakes were estimated using standard methodology. Cox proportional models with penalised cubic splines were used to study non-linear associations. MAIN OUTCOME MEASURES: All cause mortality and incidence of CVD. RESULTS: 4780 (2.4%) participants died over a mean 10.6 (range 9.4-13.9) years of follow-up, and 948 (0.5%) and 9776 (5.0%) experienced fatal and non-fatal CVD events, respectively, over a mean 9.7 (range 8.5-13.0) years of follow-up. Non-linear associations were found for many macronutrients. Carbohydrate intake showed a non-linear association with mortality; no association at 20-50% of total energy intake but a positive association at 50-70% of energy intake (3.14 v 2.75 per 1000 person years, average hazard ratio 1.14, 95% confidence interval 1.03 to 1.28 (60-70% v 50% of energy)). A similar pattern was observed for sugar but not for starch or fibre. A higher intake of monounsaturated fat (2.94 v 3.50 per 1000 person years, average hazard ratio 0.58, 0.51 to 0.66 (20-25% v 5% of energy)) and lower intake of polyunsaturated fat (2.66 v 3.04 per 1000 person years, 0.78, 0.75 to 0.81 (5-7% v 12% of energy)) and saturated fat (2.66 v 3.59 per 1000 person years, 0.67, 0.62 to 0.73 (5-10% v 20% of energy)) were associated with a lower risk of mortality. A dietary risk matrix was developed to illustrate how dietary advice can be given based on current intake. CONCLUSION: Many associations between macronutrient intake and health outcomes are non-linear. Thus dietary advice could be tailored to current intake. Dietary guidelines on macronutrients (eg, carbohydrate) should also take account of differential associations of its components (eg, sugar and starch).
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spelling pubmed-71900592020-05-01 Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants Ho, Frederick K Gray, Stuart R Welsh, Paul Petermann-Rocha, Fanny Foster, Hamish Waddell, Heather Anderson, Jana Lyall, Donald Sattar, Naveed Gill, Jason M R Mathers, John C Pell, Jill P Celis-Morales, Carlos BMJ Research OBJECTIVE: To investigate the association of macronutrient intake with all cause mortality and cardiovascular disease (CVD), and the implications for dietary advice. DESIGN: Prospective population based study. SETTING: UK Biobank. PARTICIPANTS: 195 658 of the 502 536 participants in UK Biobank completed at least one dietary questionnaire and were included in the analyses. Diet was assessed using Oxford WebQ, a web based 24 hour recall questionnaire, and nutrient intakes were estimated using standard methodology. Cox proportional models with penalised cubic splines were used to study non-linear associations. MAIN OUTCOME MEASURES: All cause mortality and incidence of CVD. RESULTS: 4780 (2.4%) participants died over a mean 10.6 (range 9.4-13.9) years of follow-up, and 948 (0.5%) and 9776 (5.0%) experienced fatal and non-fatal CVD events, respectively, over a mean 9.7 (range 8.5-13.0) years of follow-up. Non-linear associations were found for many macronutrients. Carbohydrate intake showed a non-linear association with mortality; no association at 20-50% of total energy intake but a positive association at 50-70% of energy intake (3.14 v 2.75 per 1000 person years, average hazard ratio 1.14, 95% confidence interval 1.03 to 1.28 (60-70% v 50% of energy)). A similar pattern was observed for sugar but not for starch or fibre. A higher intake of monounsaturated fat (2.94 v 3.50 per 1000 person years, average hazard ratio 0.58, 0.51 to 0.66 (20-25% v 5% of energy)) and lower intake of polyunsaturated fat (2.66 v 3.04 per 1000 person years, 0.78, 0.75 to 0.81 (5-7% v 12% of energy)) and saturated fat (2.66 v 3.59 per 1000 person years, 0.67, 0.62 to 0.73 (5-10% v 20% of energy)) were associated with a lower risk of mortality. A dietary risk matrix was developed to illustrate how dietary advice can be given based on current intake. CONCLUSION: Many associations between macronutrient intake and health outcomes are non-linear. Thus dietary advice could be tailored to current intake. Dietary guidelines on macronutrients (eg, carbohydrate) should also take account of differential associations of its components (eg, sugar and starch). BMJ Publishing Group Ltd. 2020-03-18 /pmc/articles/PMC7190059/ /pubmed/32188587 http://dx.doi.org/10.1136/bmj.m688 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Ho, Frederick K
Gray, Stuart R
Welsh, Paul
Petermann-Rocha, Fanny
Foster, Hamish
Waddell, Heather
Anderson, Jana
Lyall, Donald
Sattar, Naveed
Gill, Jason M R
Mathers, John C
Pell, Jill P
Celis-Morales, Carlos
Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title_full Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title_fullStr Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title_full_unstemmed Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title_short Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants
title_sort associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of uk biobank participants
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190059/
https://www.ncbi.nlm.nih.gov/pubmed/32188587
http://dx.doi.org/10.1136/bmj.m688
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