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      Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies

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          Abstract

          Background

          Plant-based diets have been recommended to reduce the risk of type 2 diabetes (T2D). However, not all plant foods are necessarily beneficial. We examined the association of an overall plant-based diet and hypothesized healthful and unhealthful versions of a plant-based diet with T2D incidence in three prospective cohort studies in the US.

          Methods and Findings

          We included 69,949 women from the Nurses’ Health Study (1984–2012), 90,239 women from the Nurses’ Health Study 2 (1991–2011), and 40,539 men from the Health Professionals Follow-Up Study (1986–2010), free of chronic diseases at baseline. Dietary data were collected every 2–4 y using a semi-quantitative food frequency questionnaire. Using these data, we created an overall plant-based diet index (PDI), where plant foods received positive scores, while animal foods (animal fats, dairy, eggs, fish/seafood, poultry/red meat, miscellaneous animal-based foods) received reverse scores. We also created a healthful plant-based diet index (hPDI), where healthy plant foods (whole grains, fruits, vegetables, nuts, legumes, vegetable oils, tea/coffee) received positive scores, while less healthy plant foods (fruit juices, sweetened beverages, refined grains, potatoes, sweets/desserts) and animal foods received reverse scores. Lastly, we created an unhealthful plant-based diet index (uPDI) by assigning positive scores to less healthy plant foods and reverse scores to healthy plant foods and animal foods.

          We documented 16,162 incident T2D cases during 4,102,369 person-years of follow-up. In pooled multivariable-adjusted analysis, both PDI and hPDI were inversely associated with T2D (PDI: hazard ratio [HR] for extreme deciles 0.51, 95% CI 0.47–0.55, p trend < 0.001; hPDI: HR for extreme deciles 0.55, 95% CI 0.51–0.59, p trend < 0.001). The association of T2D with PDI was considerably attenuated when we additionally adjusted for body mass index (BMI) categories (HR 0.80, 95% CI 0.74–0.87, p trend < 0.001), while that with hPDI remained largely unchanged (HR 0.66, 95% CI 0.61–0.72, p trend < 0.001). uPDI was positively associated with T2D even after BMI adjustment (HR for extreme deciles 1.16, 95% CI 1.08–1.25, p trend < 0.001). Limitations of the study include self-reported diet assessment, with the possibility of measurement error, and the potential for residual or unmeasured confounding given the observational nature of the study design.

          Conclusions

          Our study suggests that plant-based diets, especially when rich in high-quality plant foods, are associated with substantially lower risk of developing T2D. This supports current recommendations to shift to diets rich in healthy plant foods, with lower intake of less healthy plant and animal foods.

          Abstract

          Ambika Satija and colleagues study associations between plant-based diet indices and type 2 diabetes incidence in large prospective cohorts.

          Author Summary

          Why Was This Study Done?
          • Plant-based diets, mainly defined as “vegetarian” diets, have been associated with improved health outcomes, including reduced risk of diabetes.

          • However, vegetarian diets can include less healthy plant foods, such as sweetened foods and beverages, which are detrimental for health. Also, as it would be difficult for many individuals to completely give up some or all animal foods to become vegetarian, it is important to understand how gradually increasing plant foods, while decreasing animal foods, affects diabetes risk.

          • Thus, in this study, we aimed to understand how gradations of adherence to different types of plant-based diets (healthful and unhealthful) are associated with diabetes risk.

          What Did the Researchers Do and Find?
          • We analyzed data from three studies that followed more than 200,000 male and female health professionals across the US for more than 20 y, regularly collecting information on their diet, lifestyle, medical history, and new disease diagnoses.

          • We found that having a diet that emphasized plant foods and was low in animal foods was associated with a reduction of about 20% in the risk of diabetes.

          • Consumption of a plant-based diet that emphasized specifically healthy plant foods was associated with a larger decrease (34%) in diabetes risk, while consumption of a plant-based diet high in less healthy plant foods was associated with a 16% increased diabetes risk.

          What Do These Findings Mean?
          • Increasing intake of healthy plant foods while moderately reducing intake of some animal foods, especially red and processed meats, may be beneficial for diabetes prevention.

          • These findings support the newly released 2015–2020 Dietary Guidelines for Americans.

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          Most cited references26

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          Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.

          Sugar-sweetened beverages like soft drinks and fruit punches contain large amounts of readily absorbable sugars and may contribute to weight gain and an increased risk of type 2 diabetes, but these relationships have been minimally addressed in adults. To examine the association between consumption of sugar-sweetened beverages and weight change and risk of type 2 diabetes in women. Prospective cohort analyses conducted from 1991 to 1999 among women in the Nurses' Health Study II. The diabetes analysis included 91,249 women free of diabetes and other major chronic diseases at baseline in 1991. The weight change analysis included 51,603 women for whom complete dietary information and body weight were ascertained in 1991, 1995, and 1999. We identified 741 incident cases of confirmed type 2 diabetes during 716,300 person-years of follow-up. Weight gain and incidence of type 2 diabetes. Those with stable consumption patterns had no difference in weight gain, but weight gain over a 4-year period was highest among women who increased their sugar-sweetened soft drink consumption from 1 or fewer drinks per week to 1 or more drinks per day (multivariate-adjusted means, 4.69 kg for 1991 to 1995 and 4.20 kg for 1995 to 1999) and was smallest among women who decreased their intake (1.34 and 0.15 kg for the 2 periods, respectively) after adjusting for lifestyle and dietary confounders. Increased consumption of fruit punch was also associated with greater weight gain compared with decreased consumption. After adjustment for potential confounders, women consuming 1 or more sugar-sweetened soft drinks per day had a relative risk [RR] of type 2 diabetes of 1.83 (95% confidence interval [CI], 1.42-2.36; P or =1 drink per day compared with <1 drink per month, 2.00; 95% CI, 1.33-3.03; P =.001). Higher consumption of sugar-sweetened beverages is associated with a greater magnitude of weight gain and an increased risk for development of type 2 diabetes in women, possibly by providing excessive calories and large amounts of rapidly absorbable sugars.
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            Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men.

            Obesity is a strong risk factor for type 2 diabetes. However, few studies have compared the predictive power of overall obesity with that of central obesity. The cutoffs for waist circumference (WC) and waist-to-hip ratio (WHR) as measures of abdominal adiposity remain controversial. The objective was to compare body mass index (BMI), WC, and WHR in predicting type 2 diabetes. A prospective cohort study (Health Professionals Follow-Up Study) of 27 270 men was conducted. WC, WHR, and BMI were assessed at baseline. Covariates and potential confounders were assessed repeatedly during the follow-up. During 13 y of follow-up, we documented 884 incident type 2 diabetes cases. Age-adjusted relative risks (RRs) across quintiles of WC were 1.0, 2.0, 2.7, 5.0, and 12.0; those of WHR were 1.0, 2.1, 2.7, 3.6, and 6.9; and those of BMI were 1.0, 1.1, 1.8, 2.9, and 7.9 (P for trend /=24.8), WC (>/=94 cm), and WHR (>/=0.94) were 82.5%, 83.6%, and 74.1%, respectively. The corresponding proportions were 78.9%, 50.5%, and 65.7% according to the recommended cutoffs. Both overall and abdominal adiposity strongly and independently predict risk of type 2 diabetes. WC is a better predictor than is WHR. The currently recommended cutoff for WC of 102 cm for men may need to be reevaluated; a lower cutoff may be more appropriate.
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              • Article: not found

              Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. National Diabetes Data Group.

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                14 June 2016
                June 2016
                : 13
                : 6
                : e1002039
                Affiliations
                [1 ]Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [2 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [3 ]Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
                [4 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [5 ]Department of Global Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [6 ]Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
                [7 ]Renal Division, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
                [8 ]Harvard Medical School, Boston, Massachusetts, United States of America
                National Cancer Institute, UNITED STATES
                Author notes

                All authors have read the journal's policy and have the following competing interests: EBR received a research grant from the USDA/Blueberry Highbush Council.

                Conceived and designed the experiments: FBH EBR WCW JEM. Performed the experiments: AS SNB EBR DS SC LB WCW JEM QS FBH. Analyzed the data: AS SNB QS. Contributed reagents/materials/analysis tools: DS. Wrote the first draft of the manuscript: AS FBH. Contributed to the writing of the manuscript: AS SNB EBR DS SC LB WCW JEM QS FBH. Agree with the manuscript’s results and conclusions: AS SNB EBR DS SC LB WCW JEM QS FBH. All authors have read, and confirm that they meet, ICMJE criteria for authorship.

                Article
                PMEDICINE-D-15-03827
                10.1371/journal.pmed.1002039
                4907448
                27299701
                81a92873-030d-476b-9d04-efc2d6e3364e
                © 2016 Satija et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 December 2015
                : 22 April 2016
                Page count
                Figures: 2, Tables: 3, Pages: 18
                Funding
                This work was supported by research grants DK58845, UM1 CA186107, UM1 CA176726, and UM1 CA167552 from the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Diet and Type 2 Diabetes
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Diet and Type 2 Diabetes
                Biology and Life Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Nutrition
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                Nutrition
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                Medicine and Health Sciences
                Nutrition
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                Endocrinology
                Endocrine Disorders
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                Metabolic Disorders
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                Biology and Life Sciences
                Physiology
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                Food Consumption
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                Physiology
                Physiological Processes
                Food Consumption
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Biology and Life Sciences
                Biochemistry
                Lipids
                Fats
                Medicine and Health Sciences
                Vascular Medicine
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                Custom metadata
                The Health Professionals Follow-up Study, the Nurses’ Health Study, and the Nurses’ Health Study 2 data may be used in collaboration with a principal investigator. Please see the study websites for more information: https://www.hsph.harvard.edu/hpfs/hpfs_collaborators.htm, and http://www.nurseshealthstudy.org/researchers.

                Medicine
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