Modeling the Impact of Adding a Serving of Dairy Foods to the Healthy Mediterranean-Style Eating Pattern Recommended by the 2015-2020 Dietary Guidelines for Americans

Vegetarian Diets During Pregnancy: With Supplementation, Ovo-Vegetarian, Lacto-Vegetarian, Vegan, and Pescatarian Adaptations of US Department of Agriculture Food Patterns Can Be Nutritionally Adequate

BACKGROUND

The 2020-2025 Dietary Guidelines for Americans (DGA) includes a lacto-ovo vegetarian pattern (the healthy vegetarian dietary pattern [HVDP]) as a recommended dietary pattern during pregnancy.

OBJECTIVE

To adapt the HVDP for vegan, ovo-vegetarian, lacto-vegetarian, and pescatarian diets during pregnancy.

DESIGN

Using food pattern modeling, 4 adaptations of the HVDP were developed at energy levels that may be appropriate during pregnancy (1800, 2000, 2200, 2400, and 2600 kcal/day). Models were run both with and without the addition of a composite prenatal supplement.

MAIN OUTCOME MEASURES

Main outcome measures were macro- and micronutrient adequacy without exceeding recommendations for saturated fat and added sugar.

STATISTICAL ANALYSIS PERFORMED

The 2020-2025 DGA Food Pattern Modeling Report was used to define food groups and nutrients in the HVDP. The HVDP was revised to remove dairy and/or eggs or to add seafood.

RESULTS

Across all examined energy levels (1800, 2000, 2200, 2400, and 2600 kcal per day), modeled dietary patterns provided sufficient macronutrients. Without prenatal supplements, each dietary pattern met most, but not all, micronutrient recommendations. Micronutrients that were below recommendations in patterns without supplements included vitamin D, iron, vitamin E, sodium, and choline. With the addition of a composite prenatal supplement to these patterns, the nutrients below 100% of recommendations were vitamin D, choline, and sodium.

CONCLUSIONS

Overall, these results show that a HVDP and similar diets without meat, eggs, dairy, and/or seafood can provide most nutrients needed during pregnancy, albeit with some micronutrient challenges similar to those diets that include meat and other animal products.

The effect of coconut oil on anthropometric measurements and irisin levels in overweight individuals

AIM

This study aimed to discover the effects of coconut oil intake and diet therapy on anthropometric measurements, biochemical findings and irisin levels in overweight individuals.

MATERIALS AND METHODS

Overweight individuals (n = 44, 19-30 years) without any chronic disease were included. In this randomized controlled crossover study, the participants were divided into two groups (Group 1: 23 people, Group 2: 21 people). In the first phase, Group 1 received diet therapy to lose 0.5-1 kg of weight per week and 20 mL of coconut oil/day, while Group 2 only received diet therapy. In the second phase, Group 1 received diet therapy while Group 2 received diet therapy and 20 mL of coconut oil/day. Anthropometric measurements were taken four times. Irisin was measured four times by enzyme-linked immunosorbent (ELISA) method and other biochemical findings were measured twice. Statistical analysis was made on SPSS 20.

RESULTS

The irisin level decreased significantly when the participants only took coconut oil (p ≤ 0.05). There was a significant decrease in the participants' body weight, body mass index (BMI) level and body fat percentage (p ≤ 0.01). Insulin, total cholesterol, low density lipoproteins (LDL) cholesterol, and triglyceride (TG) levels of all participants decreased significantly (p ≤ 0.05). There was no significant difference in irisin level due to body weight loss (p ≤ 0.05); coconut oil provided a significant decrease in irisin level (p ≤ 0.05).

CONCLUSION

Diet therapy and weight loss did not have an effect on irisin level, but coconut oil alone was found to reduce irisin level. Coconut oil had no impact on anthropometric and biochemical findings.

Modeling Dairy-Free Vegetarian and Vegan USDA Food Patterns for Nonpregnant, Nonlactating Adults

BACKGROUND

The 2020-2025 Dietary Guidelines for Americans (2020 DGA) recommend 3 dietary patterns for Americans, including a Healthy Vegetarian Dietary Pattern (HVDP).

OBJECTIVES

The objective of this study was to assess whether nutritionally adequate dairy-free and vegan adaptations to the HVDP can be modeled with foods already in the DGA.

METHODS

Using similar food pattern modeling procedures as the 2020 DGA, the nutrient composition of 2 alternative models-dairy-free and vegan-of the 1800-, 2000-, 2200-, and 2400-kcal/d HVDPs was assessed. The dairy food group was replaced with a dairy alternative group comprised of soy milk and soy yogurt fortified with calcium, vitamin A, and vitamin D. For the vegan model, eggs were replaced with equal proportions of vegetarian protein foods.

RESULTS

Dairy-free and vegan models required minimal changes to the HVDP. Cup-equivalents and/or ounce-equivalents of vegetables, fruits, grains, oils, and discretionary calories remained unchanged. Content of total fat, polyunsaturated fat, linoleic acid (18:2n-6), linolenic acid, iron, copper, vitamin D, riboflavin, vitamin B-12, and vitamin K increased in both models by ≥10% (all comparisons relative to the original HVDP). Choline increased ≥25% in the dairy-free models. Protein decreased 11% in both 1800-kcal/d models and 10% in both 2000-kcal/d models. Sodium, cholesterol, zinc, and phosphorus decreased across all energy levels in both models, and selenium decreased in the vegan model. Carbohydrate, fiber, saturated fat, EPA, DHA, calcium, magnesium, potassium, vitamin A, vitamin E, vitamin C, thiamin, folate, and vitamin B-6 changed ≤10%. Both models contained adequate nutrients to meet Dietary Reference Intakes (DRIs) for most age and sex groups for which 1800-, 2000-, 2200-, and 2400-kcal/d diets are appropriate. Zinc was the only nutrient below the DRI for males.

CONCLUSIONS

The dairy-free and vegan HVDP models could help adults who do not consume dairy foods and/or other animal products to meet nutrition recommendations.

Association of plant-based diet and type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study

AIMS/INTRODUCTION

Studies have found that a plant-based diet was associated with a lower risk of type 2 diabetes, but evidence is scarce on such associations in China. The aim of this study was to investigate whether a plant-based diet is related to a lower risk of type 2 diabetes among Chinese adults.

MATERIALS AND METHODS

A total of 37,985 participants were enrolled from the Henan Rural Cohort Study. An overall plant-based diet index (PDI) was created by assigning positive and reverse scores to 12 commonly consumed food groups. Multivariate logistic regression models and restricted cubic spline analysis were performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI).

RESULTS

After multivariable adjustment, the risk of type 2 diabetes was inversely associated with the PDI (extreme-quartile OR = 0.88, 95% CI: 0.79-0.98; P = 0.027), the risk associated with a 1 standard deviation (SD) increase in PDI was 4% lower (95% CI, 0.93-1.00; P trend  = 0.043) for type 2 diabetes. Moreover, the odds of type 2 diabetes was decreased with an increment of PDI after fitting restricted cubic splines (P trend  < 0.01).

CONCLUSIONS

Among Chinese populations, diets higher in plant foods and lower in animal foods were associated with a reduced risk of type 2 diabetes.

Modeling the Impact of Fat Flexibility With Dairy Food Servings in the 2015-2020 Dietary Guidelines for Americans Healthy U.S.-Style Eating Pattern

Background: The 2015-2020 Dietary Guidelines for Americans (DGA) recommends consuming low-fat or fat-free dairy foods due to concerns about energy and saturated fat intake. It also recommends consuming no more than 10% of daily calories from saturated fat. Objective: The objective was to assess the impact of replacing one serving of fat-free dairy foods in the Healthy U.S.-Style Eating Pattern (HUSEP) from the DGA with one serving of whole- or reduced-fat dairy foods. We hypothesized that this replacement would keep the HUSEP within calorie, saturated fat, and sodium limits. Methods: Utilizing the same modeling procedures as the 2015-2020 DGA, we assessed the nutrient composition of seven alternative models of the 2000-calorie HUSEP. These models replaced all three servings of dairy foods in the HUSEP with an updated fat-free dairy composite (Model 1) or one of three fat-free dairy servings in the HUSEP with: a whole-fat dairy food composite, a reduced-fat/low-fat dairy food composite, whole milk, reduced-fat milk, whole-fat cheese, or reduced-fat cheese (Models 2-7). Results: In all models, the amount of saturated fat did not exceed 10% of total calories, but the amount of energy increased by 45-94 calories. While still lower than current average intake (3,440 mg/d), sodium amounts in four of the seven models exceeded the 2,300 mg/d recommended intake level. Conclusions: Some reduced- and whole-fat dairy foods, especially milk, can fit into calorie-balanced healthy eating patterns that also align with saturated fat recommendations. Allowing some flexibility in fat level of dairy food servings aligns with the recommendations that calories from solid fats and added sugars are best used to increase the palatability of nutrient-dense foods.

Replacing Dairy Fat With Polyunsaturated and Monounsaturated Fatty Acids: A Food-Level Modeling Study of Dietary Nutrient Density and Diet Quality Using the 2013-16 National Health and Nutrition Examination Survey

Recent dietary guidelines have become more food-based, as opposed to purely nutrient-based. By contrast, assessing the impact of dietary changes on chronic disease risk continues to rely on single-nutrient substitutions. To assess the real-world implications of a nutrient-for-nutrient swap, this study examined dietary nutrient density and healthy diet scores following removal of food sources of dairy fat from diets of 15,260 individuals age ≥4 y in the National Health and Nutrition Examination Survey (NHANES 2013–2016). Those foods were then replaced with foods containing a comparable amount of non-dairy polyunsaturated fatty acids (PUFA) and monounsaturated fatty acids (MUFA). The present food-level substitution model was based on 576 diverse eating patterns of US population subgroups. Diet quality measures were the Nutrient Rich Food (NRF 9.3) Index and the 2015-Healthy Eating Index (HEI-2015). Removing 5% of dietary energy from dairy fat led to lower levels of multiple micronutrients and to lower NRF 9.3 scores. These deficits were not remedied by the modeled replacements. Although swapping dairy fat for foods containing non-dairy MUFA/PUFA did alter the fatty acid ratios, the resulting food patterns were still significantly lower in some key micronutrients. Nutrient-based dietary guidance is prone to ignore the complexity of food patterns and the recommended dietary change may have unintended nutritional consequences.