January 2025
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1 Read
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January 2025
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1 Read
August 2023
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15 Reads
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2 Citations
Journal of Food Composition and Analysis
July 2023
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4 Reads
Current Developments in Nutrition
April 2021
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84 Reads
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4 Citations
April 2021
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74 Reads
July 2020
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268 Reads
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16 Citations
Overall, 47 percent of adults, 20 years and over, met the 2015-2020 DGA recommendation for added sugars, by limiting added sugars intake to less than 10% of daily calories. • On average, the adults who met the recommendation obtained 5.1 percent, and the adults who did not meet the recommendation obtained 19.4 percent of total calories from added sugars. • On average, the adults who did not meet the DGA recommendation consumed about four times more added sugars than the adults who met the recommendation. • Sweetened beverages were the top source providing about one-third of added sugars in the males’ diets and about one-fourth of added sugars in the females’ diet.
July 2020
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302 Reads
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23 Citations
About 35 percent of children 2 to 19 years of age met the 2015-2020 DGA recommendation for added sugars, by limiting added sugars intake to less than 10% of total energy for the day. • On average, those who met the recommendation obtained 5.9 percent, and those who did not meet the recommendation obtained 18.5 percent of total energy from added sugars. • Significantly higher percentages of children 2-5 years met the recommendation than the older children. • Sweetened beverages, sweet bakery products, and candy were the top three sources of added sugars in the diet of children who did not meet the DGA added sugars recommendation
June 2019
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5 Reads
Current Developments in Nutrition
Objectives: The 2015-2020 Dietary Guidelines for Americans (DGA) recommend that Americans limit their added sugars intake to less than 10% of their total calories (energy) for the day, because the calories obtained from added sugars often come with low nutritional benefits. The research objective was to compare mean intakes of nutritious foods such as fruit, dairy, and whole grains by children grouped based on whether they met the DGA added sugars recommendation or not. Methods: Children ages 2 to 19 years who had complete dietary intake data on day 1 of What We Eat in America, National Health and Nutrition Examination Survey, 2015-2016 were included in the study. They were divided into two groups: (1) those who met the DGA added sugars recommendation; and (2) those who did not meet the recommendation. Energy and selected food group intakes of the two groups were estimated and compared using SAS-callable SUDAAN software, and a p-value less than 0.01 was considered as significantly different. Results: There were 2901 children in the study. Only about one-third of all children (34.8 ± 1.2%), met the added sugars recommendation, and household income did not impact the percentage of children meeting the recommendation. Forty-seven % of 2-5 year old and 31% of 6-19 year old children met the recommendation. The estimated mean added sugars intake of the children who met the recommendation was considerably lower than those who did not meet the recommendation, 6.4 ± 0.23 vs. 21.2 ± 0.51 teaspoon equivalents (eq.), respectively. The children who met the recommendation had significantly lower energy intake than those who did not meet the recommendation, 1764 ± 32 vs. 1924 ± 30 kilocalories, respectively. In spite of their lower energy intake, children who met the recommendation had significantly higher intakes of total fruit, 1.3 ± 0.05 vs. 0.8 ± 0.05 cup eq.; total dairy, 2.1 ± 0.12 vs. 1.8 ± 0.08 cup eq.; and whole grains 1.0 ± 0.07 vs. 0.8 ± 0.04 ounce eq. than the other group. In other words, those who met the recommendation made better food choices by eating nutritious foods for lower energy intake. Conclusions: The study findings showed that high added sugars intake have the potential to replace nutritious foods and reduce the overall quality of the diet, in children. Funding sources: The study was funded by USDA, Agricultural Research Service.
November 2018
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152 Reads
Compares the USDA Food Patterns Equivalents Intakes of Americans from 2003-04 to 2015-16 sing the NHANES dietary survey data
September 2018
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649 Reads
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30 Citations
Provides information on the methodology used to develop USDA Food Patterns Equivalents for the NHANES 2015-2016 dietary data
... Child factors included were demographic characteristics (age, sex, race or ethnicity), intake of added sugars and total energy intake (kcal/day). Data on all foods and beverages consumed and their caloric content, including their respective US Department of Agriculture's Food and Nutrient Database for Dietary Studies code, 30 were obtained through a 24-hour dietary recall done by trained interviewers in the mobile examination center. Food and Nutrient Database for Dietary Studies codes of foods and beverages were converted to their corresponding amount (g) of added sugars using the US Department of Agriculture Food Patterns Equivalent Database for every NHANES cycle. ...
August 2013
... For each food and beverage item, participants reported their average dietary intake in the past 12 months, including the frequency (9 frequencies ranging from "never" to "every day") and portion size (3 or 4 quantity choices per food item or group of similar food items). Based on FFQ data, nutrient intake was estimated using the United States Department of Agriculture Food and Nutrient Database for Dietary Studies for US women [29]. ...
August 2013
... There is some evidence that our participants may have over-reported fruit/vegetable intake; on average, participants reported that fruits and vegetables made up one third of their total daily food intake. This finding is inconsistent with estimates, based on nationally representative dietary surveys, that a majority of adults do not meet USDA dietary recommended five daily servings of fruits and vegetables (e.g.,Bowman, Friday, Clemens, & Moshfegh, 2015;Moore & ...
April 2015
... However, there was no difference in reported fruit and vegetable intake, which may reflect the generally low level of intake in the general population. 28 Several demographic and clinical factors were controlled for in this study, including gender, age, race/ethnicity, marital status, current employment, smoking, financial strain, substance use disorder, and antipsychotic use. 27 A cross-sectional analysis comparing 23 women with bipolar disorder with women with no past or current depressive or anxiety disorders was undertaken by Jacka et al. 29 Their findings demonstrated that people with bipolar disorder consumed a higher energy/kilojoule intake and a diet with a higher glycemic load. ...
April 2014
... Raw weight of beef was estimated, for later linkage with HGP concentrations measured in raw retail beef products, by dividing the beef ingredient's cooked weight by a moisture adjustment factor of 0.75 (assuming 25% of weight is lost as water during cooking). This factor is used by FNDDS to account for moisture loss during cooking when determining nutritional value [30,31]. The steps are described in Eq. (1) below. ...
April 2013
... Second, we incorporated additional emissions for selected ingredients using conversion factors identified from commodity trade data sources so that the final functional unit for each ingredient reflected kilograms of carbon dioxide equivalents per kilogram of edible ingredient (kg CO 2 eq/kg ingredient). These conversion factors accounted for ingredient mass lost during ingredient processing, preparation and production (e.g., refuse losses including skin and stalks or waste occurring during production) (Bowman et al., 2010;FAO, 1996;Mertens et al., 2019a) and emissions associated with industrial ingredient cooking upstream of retail (e.g., industrial roasting) or other modification (e.g., drying, sweetening or breading) (Frankowska et al., 2020;Mertens et al., 2019aMertens et al., , 2019b. Post-production ingredient losses due to processing occurring after the farm gate (e.g., the evaporation of milk when baked into a cake) were not included in our analysis. ...
April 2010
... Salty snacks included crackers, pretzels, breadsticks, and other crunchy savory items that are consumed as snacks or pre-meal appetizers across both countries (5,24). Industrially produced breads were selected as a category because industrial breads are the standard bread product consumed in the US (4,27), and while the consumption of artisanal breads is most common in Italy, the use of industrial breads is emerging (28). Similarly, frozen pizza was chosen as a category because it is widely consumed in the US (29) and its availability and consumption in Italy has grown in recent years (30). ...
April 2021
... Sugar-sweetened beverage (SSB) consumption is a risk factor for diabetes and obesity; and, in turn, obesity is a major risk factor for diabetes and cardiovascular and other noncommunicable diseases [2][3][4]. Thus, SSB dietary policy interventions are a key tool for obesity and diabetes prevention with SSBs representing the largest source of added sugars in the American diet [5,6]. Price promotions play an important role in the sales of SSBs. ...
July 2020
... Because restaurant food is a significant contributor to children's dietary intake (Fryar et al., 2020), policies that aim to improve the healthfulness of kids' meals, which are generally of low nutritional quality (Dunn et al., 2020), have the potential to improve diet and reduce chronic diseases. Consumption of restaurant food among children is associated with higher intake of total energy and sugar, as well as greater consumption of sugar-sweetened beverages (SSBs) (Powell and Nguyen, 2013)-the largest contributor of added sugars in children's diets (Bowman et al., 2019). Fast food and SSBs have also been identified as primary dietary risk factors for overweight and obesity among children (Jakobsen et al., 2023). ...
July 2020
... Raw weight of beef was estimated, for later linkage with HGP concentrations measured in raw retail beef products, by dividing the beef ingredient's cooked weight by a moisture adjustment factor of 0.75 (assuming 25% of weight is lost as water during cooking). This factor is used by FNDDS to account for moisture loss during cooking when determining nutritional value [30,31]. The steps are described in Eq. (1) below. ...
September 2018