Literature DB >> 31449285

Association of Animal and Plant Protein Intake With All-Cause and Cause-Specific Mortality.

Sanjeev Budhathoki1, Norie Sawada1, Motoki Iwasaki1, Taiki Yamaji1, Atsushi Goto1, Ayaka Kotemori1, Junko Ishihara2, Ribeka Takachi3, Hadrien Charvat1, Tetsuya Mizoue4, Hiroyasu Iso5, Shoichiro Tsugane1.   

Abstract

Importance: Epidemiological evidence regarding the long-term effects of higher dietary protein intake on mortality outcomes in the general population is not clear. Objective: To evaluate the associations between animal and plant protein intake and all-cause and cause-specific mortality. Design, Setting, and Participants: This prospective cohort study included 70 696 participants in the Japan Public Health Center-based Prospective Cohort who were aged 45 to 74 years and had no history of cancer, cerebrovascular disease, or ischemic heart disease at study baseline. Data were collected from January 1, 1995, through December 31, 1999, with follow-up completed December 31, 2016, during which 12 381 total deaths were documented. Dietary intake information was collected through a validated food frequency questionnaire and used to estimate protein intake in all participants. Participants were grouped into quintile categories based on their protein intake, expressed as a percentage of total energy. Data were analyzed from July 18, 2017, through April 10, 2019. Main Outcomes and Measures: Hazard ratios (HRs) and 95% CIs for all-cause and cause-specific mortality were estimated using Cox proportional hazards regression models with adjustment for potential confounding factors.
Results: Among the 70 696 participants, 32 201 (45.5%) were men (mean [SD] age, 55.6 [7.6] years) and 38 495 (54.5%) were women (mean [SD] age, 55.8 [7.7] years). Intake of animal protein showed no clear association with total or cause-specific mortality. In contrast, intake of plant protein was associated with lower total mortality, with multivariable-adjusted HRs of 0.89 (95% CI, 0.83-0.95) for quintile 2; 0.88 (95% CI, 0.82-0.95) for quintile 3; 0.84 (95% CI, 0.77-0.92) for quintile 4; and 0.87 (95% CI, 0.78-0.96) for quintile 5, with quintile 1 as the reference category (P = .01 for trend). For cause-specific mortality, this association with plant protein intake was evident for cardiovascular disease (CVD)-related mortality (HRs, 0.84 [95% CI, 0.73-0.96] to 0.70 [95% CI, 0.59-0.83]; P = .002 for trend). Isocaloric substitution of 3% energy from plant protein for red meat protein was associated with lower total (HR, 0.66; 95% CI, 0.55-0.80), cancer-related (HR, 0.61; 95% CI, 0.45-0.82), and CVD-related (HR, 0.58; 95% CI, 0.39-0.86) mortality; substitution for processed meat protein was associated with lower total (HR, 0.54; 95% CI, 0.38-0.75) and cancer-related (HR, 0.50; 95% CI, 0.30-0.85) mortality. Conclusions and Relevance: In this large prospective study, higher plant protein intake was associated with lower total and CVD-related mortality. Although animal protein intake was not associated with mortality outcomes, replacement of red meat protein or processed meat protein with plant protein was associated with lower total, cancer-related, and CVD-related mortality.

Year:  2019        PMID: 31449285     DOI: 10.1001/jamainternmed.2019.2806

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  37 in total

Review 1.  Protein quality assessment: impact of expanding understanding of protein and amino acid needs for optimal health.

Authors:  D Joe Millward; Donald K Layman; Daniel Tomé; Gertjan Schaafsma
Journal:  Am J Clin Nutr       Date:  2008-05       Impact factor: 7.045

2.  Dietary patterns and colorectal cancer in a Japanese population: the Fukuoka Colorectal Cancer Study.

Authors:  Kayo Kurotani; Sanjeev Budhathoki; Amit Man Joshi; Guang Yin; Kengo Toyomura; Suminori Kono; Ryuichi Mibu; Masao Tanaka; Yoshihiro Kakeji; Yoshihiko Maehara; Takeshi Okamura; Koji Ikejiri; Kitaroh Futami; Takafumi Maekawa; Yohichi Yasunami; Kenji Takenaka; Hitoshi Ichimiya; Reiji Terasaka
Journal:  Br J Nutr       Date:  2010-06-28       Impact factor: 3.718

3.  The associations of diet with serum insulin-like growth factor I and its main binding proteins in 292 women meat-eaters, vegetarians, and vegans.

Authors:  Naomi E Allen; Paul N Appleby; Gwyneth K Davey; Rudolf Kaaks; Sabina Rinaldi; Timothy J Key
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-11       Impact factor: 4.254

4.  Validity and reproducibility of a self-administered food frequency questionnaire in the JPHC Study Cohort II: study design, participant profile and results in comparison with Cohort I.

Authors:  Junko Ishihara; Tomotaka Sobue; Seiichiro Yamamoto; Itsuro Yoshimi; Satoshi Sasaki; Minatsu Kobayashi; Tosei Takahashi; Yoji Iitoi; Masayuki Akabane; Shoichiro Tsugane
Journal:  J Epidemiol       Date:  2003-01       Impact factor: 3.211

5.  Validity of the self-administered food frequency questionnaire used in the 5-year follow-up survey of the JPHC Study Cohort I: comparison with dietary records for main nutrients.

Authors:  Shoichiro Tsugane; Minatsu Kobayashi; Satoshi Sasaki
Journal:  J Epidemiol       Date:  2003-01       Impact factor: 3.211

Review 6.  Emerging perspectives on essential amino acid metabolism in obesity and the insulin-resistant state.

Authors:  Sean H Adams
Journal:  Adv Nutr       Date:  2011-11-03       Impact factor: 8.701

7.  Associations of dietary protein with disease and mortality in a prospective study of postmenopausal women.

Authors:  Linda E Kelemen; Lawrence H Kushi; David R Jacobs; James R Cerhan
Journal:  Am J Epidemiol       Date:  2005-02-01       Impact factor: 4.897

8.  Association between protein intake and blood pressure: the INTERMAP Study.

Authors:  Paul Elliott; Jeremiah Stamler; Alan R Dyer; Lawrence Appel; Barbara Dennis; Hugo Kesteloot; Hirotsugu Ueshima; Akira Okayama; Queenie Chan; Daniel B Garside; Beifan Zhou
Journal:  Arch Intern Med       Date:  2006-01-09

9.  Dietary correlates of plasma insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations.

Authors:  Michelle D Holmes; Michael N Pollak; Walter C Willett; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-09       Impact factor: 4.254

Review 10.  Effects of higher- versus lower-protein diets on health outcomes: a systematic review and meta-analysis.

Authors:  N Santesso; E A Akl; M Bianchi; A Mente; R Mustafa; D Heels-Ansdell; H J Schünemann
Journal:  Eur J Clin Nutr       Date:  2012-04-18       Impact factor: 4.016

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