» Articles » PMID: 19351712

Type of Vegetarian Diet, Body Weight, and Prevalence of Type 2 Diabetes

Overview
Journal Diabetes Care
Specialty Endocrinology
Date 2009 Apr 9
PMID 19351712
Citations 230
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: We assessed the prevalence of type 2 diabetes in people following different types of vegetarian diets compared with that in nonvegetarians.

Research Design And Methods: The study population comprised 22,434 men and 38,469 women who participated in the Adventist Health Study-2 conducted in 2002-2006. We collected self-reported demographic, anthropometric, medical history, and lifestyle data from Seventh-Day Adventist church members across North America. The type of vegetarian diet was categorized based on a food-frequency questionnaire. We calculated odds ratios (ORs) and 95% CIs using multivariate-adjusted logistic regression.

Results: Mean BMI was lowest in vegans (23.6 kg/m(2)) and incrementally higher in lacto-ovo vegetarians (25.7 kg/m(2)), pesco-vegetarians (26.3 kg/m(2)), semi-vegetarians (27.3 kg/m(2)), and nonvegetarians (28.8 kg/m(2)). Prevalence of type 2 diabetes increased from 2.9% in vegans to 7.6% in nonvegetarians; the prevalence was intermediate in participants consuming lacto-ovo (3.2%), pesco (4.8%), or semi-vegetarian (6.1%) diets. After adjustment for age, sex, ethnicity, education, income, physical activity, television watching, sleep habits, alcohol use, and BMI, vegans (OR 0.51 [95% CI 0.40-0.66]), lacto-ovo vegetarians (0.54 [0.49-0.60]), pesco-vegetarians (0.70 [0.61-0.80]), and semi-vegetarians (0.76 [0.65-0.90]) had a lower risk of type 2 diabetes than nonvegetarians.

Conclusions: The 5-unit BMI difference between vegans and nonvegetarians indicates a substantial potential of vegetarianism to protect against obesity. Increased conformity to vegetarian diets protected against risk of type 2 diabetes after lifestyle characteristics and BMI were taken into account. Pesco- and semi-vegetarian diets afforded intermediate protection.

Citing Articles

American society for preventive cardiology 2024 cardiovascular disease prevention: Highlights and key sessions.

Chandra A, Espiche C, Maliha M, Virani S, Blumenthal R, Rodriguez F Am J Prev Cardiol. 2025; 21:100919.

PMID: 39802677 PMC: 11722599. DOI: 10.1016/j.ajpc.2024.100919.


Is trauma associated with plant-based diet choice?.

Nomamiukor F, Smethurst M, Franz M, Hamilton E, Garza A, Padilla-Medina D Appetite. 2024; 206:107841.

PMID: 39725065 PMC: 11797213. DOI: 10.1016/j.appet.2024.107841.


Proposed Mechanisms and Associations of COVID-19 with Cardiometabolic Risk Factors.

Reddy K, Faridi K, Aggarwal M, Tirumalai A, Singh T, Tejtel K Am J Lifestyle Med. 2024; :15598276241269532.

PMID: 39540176 PMC: 11556543. DOI: 10.1177/15598276241269532.


One Month Whole Food Plant-Based Nutrition Educational Program Lowers LDL, A1C, and Decreases Inflammatory Markers.

Musial S, Burns Z, Bertman J, Fitzgibbon M, Mashek R, Risica P Am J Lifestyle Med. 2024; :15598276241291490.

PMID: 39540160 PMC: 11556590. DOI: 10.1177/15598276241291490.


Predictors of Progressing Toward Lifestyle Change Among Participants of an Interprofessional Lifestyle Medicine Program.

Cheng A, Dwivedi M, Martin A, Leslie C, Fulkerson D, Bonner K Am J Lifestyle Med. 2024; :15598276231222868.

PMID: 39464234 PMC: 11507295. DOI: 10.1177/15598276231222868.


References
1.
Fung T, Schulze M, Manson J, Willett W, Hu F . Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med. 2004; 164(20):2235-40. DOI: 10.1001/archinte.164.20.2235. View

2.
Singh P, Tonstad S, Abbey D, Fraser G . Validity of selected physical activity questions in white Seventh-day Adventists and non-Adventists. Med Sci Sports Exerc. 1996; 28(8):1026-37. DOI: 10.1097/00005768-199608000-00013. View

3.
Jaceldo-Siegl K, Fraser G, Chan J, Franke A, Sabate J . Validation of soy protein estimates from a food-frequency questionnaire with repeated 24-h recalls and isoflavonoid excretion in overnight urine in a Western population with a wide range of soy intakes. Am J Clin Nutr. 2008; 87(5):1422-7. PMC: 3564955. DOI: 10.1093/ajcn/87.5.1422. View

4.
Fraser G, Yan R . Guided multiple imputation of missing data: using a subsample to strengthen the missing-at-random assumption. Epidemiology. 2007; 18(2):246-52. DOI: 10.1097/01.ede.0000254708.40228.8b. View

5.
Sahyoun N, Anderson A, Tylavsky F, Lee J, Sellmeyer D, Harris T . Dietary glycemic index and glycemic load and the risk of type 2 diabetes in older adults. Am J Clin Nutr. 2008; 87(1):126-31. PMC: 2265787. DOI: 10.1093/ajcn/87.1.126. View