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  1. 8361
    “…In addition to the attentional self-control task, self-reported self-control was assessed and participants performed a color Stroop task, an unsolvable anagram task and a delay of gratification task using chocolate sweets. We found that aversion, temptation, and neutral distraction were associated with significantly increased error rates, reaction times and gaze pattern deviations. …”
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  2. 8362
    “…Sixty-eight percent of respondents declared that they do not follow any special diet and only 18% declared that they follow a diet with a reduced quantity of monosaccharides (no sweets). A milk-free diet was followed by 7% of respondents, a meat-free diet by 6%, and a fruit-and-vegetable diet by 5%. …”
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  3. 8363
    “…In one study, patients after RYGB, and nonobese controls, performed a behavioral progressive ratio task for chocolate sweets. In another study, patients after RYGB, and controls after BAND surgery, performed a functional magnetic resonance imaging food picture evaluation task. …”
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  4. 8364
    “…RESULTS: We focused on eight food categories and compared their estimated amounts (using the 24-hour recall method) to those actually consumed (using FW). Animal products and sweets were underestimated, whereas pasta, bread, vegetables, fruits, and dairy products were overestimated. …”
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  5. 8365
    “…Daily consumption of sweets [PR=0.75 (0.64-0.88)] and soft drinks [PR=0.82 (0.70-0.97)] was less frequent among boys; having lunch daily was slightly more often reported by boys [OR=1.11 (1.02-1.22)]. …”
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  6. 8366
    “…A wine is regarded to be well balanced if its alcoholic strength, acidity, sweetness, fruitiness and tannin structure complement each other so that no single component dominates on the palate. …”
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  7. 8367
    “…The highest frequency of places of purchase were snack bar (16.9%) and restaurant (16.4%), while the fruit shop (1.2%) presented the lowest frequency. Sweets, snack chips and soft drinks were the most purchased items in most places. …”
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  8. 8368
    “…The study population consisted of 681 cases and 1361 controls, and their intake of vegetables, fruits, fiber, fat-food and sweets was analyzed. The genotypes for TAS2R38 A49P, V262A and I296V and CA6 rs2274333 A/G were assessed using the MassArray technique. …”
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  9. 8369
    “…Using validated food frequency questionnaires, each participant was assigned a DASH dietary pattern score (based on high intake of fruits, vegetables, nuts and legumes, low fat dairy products, and whole grains, and low intake of sodium, sweetened beverages, and red and processed meats) and a Western dietary pattern score (based on high intake of red and processed meats, French fries, refined grains, sweets, and desserts). Main outcome measure Risk of incident gout meeting the preliminary American College of Rheumatology survey criteria for gout, adjusting for potential confounders, including age, body mass index, hypertension, diuretic use, and alcohol intake. …”
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  10. 8370
    “…Early feeding of free sugars to young children can increase the preference for sweetness and the risk of consuming a cariogenic diet high in free sugars later in life. …”
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  11. 8371
    “…We further observed a significant positive correlation of active grehlin with hunger and fat, protein and sweets craving for each nutrient solution. Active grehlin significantly correlated with carbohydrate craving for carbohydrate and fat solution and with vegetable craving for fat solution only. …”
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  12. 8372
    “…Significantly more directors than teachers reported meeting 2 nutrition-related best practices: “Teachers rarely eat less healthy foods (especially sweets, salty snacks, and sugary drinks) in front of children” and “Teachers talk to children about trying/enjoying new foods” (P < .05). …”
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  13. 8373
    “…Consuming meat (OR 1.9, 95% CI 1.2–3.1), fish or other sea foods (OR 1.6, 95% CI 1.1–2.8), fast food/fried rice/oily foods (OR 1.9, 95% CI 1.2–2.9), carbonated drinks or sugary drinks (OR 1.9, 95% CI 1.2–2.8), sweets, cookies or ice cream (OR 1.8, 95% CI 1.2–2.9) were dietary risk factors for overweight. …”
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  14. 8374
    “…Data from food frequency questionnaires indicated that the Chinese participants consumed less starchy foods, candy and “other” sweets and sugary drinks, and more rice than the Caucasians (all p ≤ 0.001), but not a greater overall intake of carbohydrates or any other macronutrient (all p > 0.05). …”
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  15. 8375
    “…The quality of vegetables grown in plant factories under hydroponic cultivation, e.g., their sweetness and softness, can be improved by controlling growth factors including the temperature, humidity, light source, and fertilizer. …”
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  16. 8376
    “…We used Cox proportional hazards regression to examine the hazard of first recurrence of CHD events—definite or probable MI or acute CHD death—and all‐cause mortality associated with quartiles of empirically derived dietary patterns (convenience, plant‐based, sweets, Southern, and alcohol and salads) and the Mediterranean diet score. …”
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  17. 8377
    “…Although the population studied kept the consumption of staple foods, the intake of industrialized food such as soft drinks, artificial juices, and unhealthy foods such as sweets was high. Older individuals presented seven times (95%CI 4.20–12.48) more chance of having a better quality of the diet. …”
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  18. 8378
    “…Resulting from these chemical changes, juice made from symptomatic fruit is described as distinctly bitter, sour, salty/umami, metallic, musty, and lacking in sweetness and fruity/orange flavor. Those effects are reported in both Valencia and Hamlin oranges, two cultivars that are commercially processed for juice in Florida. …”
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  19. 8379
    “…The odds of having a child who has symptoms of depression were lower among mothers who responded “yes” to “I make sure that my child does not eat too many sweets or junk foods” compared with mothers who responded “no” (0.49; 0.26-0.91, P = .020). …”
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  20. 8380
    “…The male participants consumed significantly more servings of carbohydrate-based foods, meat, and fats, oils, and sweets than females. Among the selected dietary intake variables, only the carbohydrate intake was negatively associated with the BMI (Estimate b = −0.008) and WC measurements (Estimate b = −0.019) after adjusting for covariates. …”
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