Literature DB >> 20820038

Low-carbohydrate diets and all-cause and cause-specific mortality: two cohort studies.

Teresa T Fung1, Rob M van Dam, Susan E Hankinson, Meir Stampfer, Walter C Willett, Frank B Hu.   

Abstract

BACKGROUND: Data on the long-term association between low-carbohydrate diets and mortality are sparse.
OBJECTIVE: To examine the association of low-carbohydrate diets with mortality during 26 years of follow-up in women and 20 years in men.
DESIGN: Prospective cohort study of women and men who were followed from 1980 (women) or 1986 (men) until 2006. Low-carbohydrate diets, either animal-based (emphasizing animal sources of fat and protein) or vegetable-based (emphasizing vegetable sources of fat and protein), were computed from several validated food-frequency questionnaires assessed during follow-up.
SETTING: Nurses' Health Study and Health Professionals' Follow-up Study. PARTICIPANTS: 85 168 women (aged 34 to 59 years at baseline) and 44 548 men (aged 40 to 75 years at baseline) without heart disease, cancer, or diabetes. MEASUREMENTS: Investigators documented 12 555 deaths (2458 cardiovascular-related and 5780 cancer-related) in women and 8678 deaths (2746 cardiovascular-related and 2960 cancer-related) in men.
RESULTS: The overall low-carbohydrate score was associated with a modest increase in overall mortality in a pooled analysis (hazard ratio [HR] comparing extreme deciles, 1.12 [95% CI, 1.01 to 1.24]; P for trend = 0.136). The animal low-carbohydrate score was associated with higher all-cause mortality (pooled HR comparing extreme deciles, 1.23 [CI, 1.11 to 1.37]; P for trend = 0.051), cardiovascular mortality (corresponding HR, 1.14 [CI, 1.01 to 1.29]; P for trend = 0.029), and cancer mortality (corresponding HR, 1.28 [CI, 1.02 to 1.60]; P for trend = 0.089). In contrast, a higher vegetable low-carbohydrate score was associated with lower all-cause mortality (HR, 0.80 [CI, 0.75 to 0.85]; P for trend </= 0.001) and cardiovascular mortality (HR, 0.77 [CI, 0.68 to 0.87]; P for trend < 0.001). LIMITATIONS: Diet and lifestyle characteristics were assessed with some degree of error. Sensitivity analyses indicated that results were probably not substantively affected by residual confounding or an unmeasured confounder. Participants were not a representative sample of the U.S. population.
CONCLUSION: A low-carbohydrate diet based on animal sources was associated with higher all-cause mortality in both men and women, whereas a vegetable-based low-carbohydrate diet was associated with lower all-cause and cardiovascular disease mortality rates. PRIMARY FUNDING SOURCE: National Institutes of Health.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20820038      PMCID: PMC2989112          DOI: 10.7326/0003-4819-153-5-201009070-00003

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  31 in total

1.  Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements.

Authors:  F B Hu; M J Stampfer; E Rimm; A Ascherio; B A Rosner; D Spiegelman; W C Willett
Journal:  Am J Epidemiol       Date:  1999-03-15       Impact factor: 4.897

Review 2.  Effects of low-carbohydrate vs low-fat diets on weight loss and cardiovascular risk factors: a meta-analysis of randomized controlled trials.

Authors:  Alain J Nordmann; Abigail Nordmann; Matthias Briel; Ulrich Keller; William S Yancy; Bonnie J Brehm; Heiner C Bucher
Journal:  Arch Intern Med       Date:  2006-02-13

3.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

4.  Assessing the sensitivity of regression results to unmeasured confounders in observational studies.

Authors:  D Y Lin; B M Psaty; R A Kronmal
Journal:  Biometrics       Date:  1998-09       Impact factor: 2.571

5.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

Review 6.  Regression calibration method for correcting measurement-error bias in nutritional epidemiology.

Authors:  D Spiegelman; A McDermott; B Rosner
Journal:  Am J Clin Nutr       Date:  1997-04       Impact factor: 7.045

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.  Meat consumption and risk of colorectal cancer.

Authors:  Ann Chao; Michael J Thun; Cari J Connell; Marjorie L McCullough; Eric J Jacobs; W Dana Flanders; Carmen Rodriguez; Rashmi Sinha; Eugenia E Calle
Journal:  JAMA       Date:  2005-01-12       Impact factor: 56.272

9.  Test of the National Death Index and Equifax Nationwide Death Search.

Authors:  J W Rich-Edwards; K A Corsano; M J Stampfer
Journal:  Am J Epidemiol       Date:  1994-12-01       Impact factor: 4.897

10.  Validation of questionnaire information on risk factors and disease outcomes in a prospective cohort study of women.

Authors:  G A Colditz; P Martin; M J Stampfer; W C Willett; L Sampson; B Rosner; C H Hennekens; F E Speizer
Journal:  Am J Epidemiol       Date:  1986-05       Impact factor: 4.897

View more
  98 in total

Review 1.  Plant protein and animal proteins: do they differentially affect cardiovascular disease risk?

Authors:  Chesney K Richter; Ann C Skulas-Ray; Catherine M Champagne; Penny M Kris-Etherton
Journal:  Adv Nutr       Date:  2015-11-13       Impact factor: 8.701

2.  Highlights From the Institute for Functional Medicine's 2014 Annual Conference: Functional Perspectives on Food and Nutrition: The Ultimate Upstream Medicine.

Authors:  Lara Pizzorno
Journal:  Integr Med (Encinitas)       Date:  2014-10

Review 3.  Protein and amino acid restriction, aging and disease: from yeast to humans.

Authors:  Hamed Mirzaei; Jorge A Suarez; Valter D Longo
Journal:  Trends Endocrinol Metab       Date:  2014-08-19       Impact factor: 12.015

4.  Diets for weight loss and prevention of negative health outcomes.

Authors:  G Michael Allan; Noah Ivers; Arya M Sharma
Journal:  Can Fam Physician       Date:  2011-08       Impact factor: 3.275

5.  Fad diets in the treatment of diabetes.

Authors:  Richard D Feinman
Journal:  Curr Diab Rep       Date:  2011-04       Impact factor: 4.810

Review 6.  Protein and coronary heart disease: the role of different protein sources.

Authors:  Peter M Clifton
Journal:  Curr Atheroscler Rep       Date:  2011-12       Impact factor: 5.113

Review 7.  The Hidden Dangers of Fast and Processed Food.

Authors:  Joel Fuhrman
Journal:  Am J Lifestyle Med       Date:  2018-04-03

Review 8.  Cardiovascular Disease Prevention by Diet Modification: JACC Health Promotion Series.

Authors:  Edward Yu; Vasanti S Malik; Frank B Hu
Journal:  J Am Coll Cardiol       Date:  2018-08-21       Impact factor: 24.094

Review 9.  The low-carbohydrate diet and cardiovascular risk factors: evidence from epidemiologic studies.

Authors:  T Hu; L A Bazzano
Journal:  Nutr Metab Cardiovasc Dis       Date:  2014-01-02       Impact factor: 4.222

10.  Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials.

Authors:  Tian Hu; Katherine T Mills; Lu Yao; Kathryn Demanelis; Mohamed Eloustaz; William S Yancy; Tanika N Kelly; Jiang He; Lydia A Bazzano
Journal:  Am J Epidemiol       Date:  2012-10-01       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.