“…With respect to inflammation, the ‘Healthy foods’ cluster had lower IL-6 than the ‘Sweets and desserts’ and ‘High-fat dairy products’ clusters, and no differences were seen in CRP or TNF-α. …”
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“…The traditional food items are consequently being replaced by imported food, and among the imported food items several rather unhealthy items are popular, that is carbonated soft drinks with sugar, sweets, chips and farmed (red) meat with a high content of saturated fat. …”
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“…Understanding the mechanism and processes underlying fruit ripening would enable scientists to enhance the improvement of quality traits such as, flavor, texture, appearance and fruit sweetness. Although, the pineapple is an important fruit, there is insufficient transcriptomic or genomic information that is available in public databases. …”
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“…Foods were initially clustered into eight groups: “cereals, tubers, roots, and derivatives”; “vegetables and legumes”; “fruits”; “beans”; “meat and eggs”; “milk and dairy products”; “oils and fats”, and “sugars and sweets”. The frequency of food intake and the relative contribution of each food item to the total energy and nutrient intakes were calculated. …”
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“…These results are relevant to the genetic improvement of quality traits such as sweetness and sugar/acid balance in a range of fruit species.…”
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“…RESULTS: Many mothers (29.9% at 6 months and 42.8% at 15 months) reported engaging in a behavior intended to prevent type 1 diabetes, with the largest percentages (20.9–29.2%) reporting making changes to their child’s diet (e.g., reducing the consumption of sweets and carbohydrates). Factors related to engaging in preventive behaviors include older maternal age; higher maternal education; minority status; having only one child; having a first-degree relative with type 1 diabetes; being from a country other than Sweden; having an accurate perception of the child’s increased risk for developing diabetes; having postpartum depression, maternal anxiety, and worry about the risk of diabetes; and believing that diabetes can be prevented. …”
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“…DASH score was calculated based on 8 food components (fruits, vegetables, whole grains, nuts and legumes, low fat dairy, red/processed meats, soft drinks/sweets, and sodium). The relationship between DASH score and CHD was assessed using logistic regression analysis. …”
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“…There were significant associations between>2 h being spent sitting by a TV or PC and consuming fruit and vegetables (negative associations) or sweets and sweetened lemonades (positive associations). …”
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“…The data were analyzed using SPSS package, Chicago, IL, version 13.0. RESULTS: Eating sweets and poor oral hygiene lead to dental caries were cited as the main reasons for dental caries by 62.2% (92/148) of subjects. …”
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“…The symptoms were experienced more often after fatty, fried, sour, or spicy food and sweets. The univariate logistic regression analysis showed the following risk factors: eating 1–2 meals per day (OR = 3.50, 95% CI: 1.75–6.98), everyday consumption of peppermint tea (OR = 2.00, 95% CI: 1.14–3.50), and eating one, big meal in the evening instead of dinner and supper (OR = 1.80, 95% CI: 1.05–3.11). …”
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“…The levels of optimism and satisfaction with life correlated positively with the consumption frequency of brown rice, whole grains, oatmeal, fruit, marine fish, legumes, soy products, nuts, butter, and fruit juices, and were inversely correlated with the consumption of white bread, high-fat cottage cheese, pork meat and sausages, and sweets and pastries. CONCLUSIONS: Postmenopausal women with arterial hypertension who were characterized by lower levels of self-efficacy, optimism, and satisfaction with life made less rational dietary choices which could negatively affect the efficacy of the secondary prevention of cardiovascular degenerative disorders.…”
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“…We measured dietary intakes by a validated food frequency questionnaire and constructed three dietary patterns such as “traditional healthy”, “animal foods”, and “sweets” diets. In stratified analyses by GST genotypes, the “traditional healthy” diet and reduced AD showed association only in the GSTM1-present group (odd ratio (OR) 0.31, 95% confidence interval (CI) 0.13–0.75). …”
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“…Skipping breakfast was also associated with age- and gender-specific unhealthy eating habits such as skipping other meals, lower consumption of fruits and vegetables, and higher consumption of sweets and sugary drinks (p<0.05). CONCLUSION: Body perception among adolescents is an important factor relating to unhealthy eating habits, not only in girls, but even in boys. …”
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“…Main food sources of sugars were sweets and candy, non-alcoholic beverages, dairy, and cake and cookies. …”
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“…In addition, 36.3 percentages of these girls consumed sweets everyday as part of their diet. The nutritional knowledge of participating in diet was on the average and common source of information were counselors and teachers at school (36 percentages). …”
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“…In contrast, the consumption of fast foods (both genders), sugar-sweetened drinks and sweets (boys only) potatoes (girls only) were negatively associated with sleep duration (p<0.05). …”
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“…Dietary data were analysed to determine the total consumption of energy, fibre, vegetables, fruits, sweets, fats, alcohol and cigarettes. TAS2R38 diplotype was not associated with food, alcohol or cigarette consumption, either independent or dependent of gastric cancer phenotype. …”
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“…Consumers of high-fat dietary patterns were more likely to have greater BMI, and a dietary pattern high in sweets and snacks was associated with greater risk of diabetes compared with a traditional diet high in rice and pulses, but other relationships with NCD risk factors were less clear. …”
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“…From an in-person 24-h dietary recall, all foods consumed were aggregated into 12 main food groups using the individual food code of the US Department of Agriculture (USDA); dairy products, meat/poultry, fish/seaweed, eggs, legumes/nuts/seeds, breads, other grain products, fruits, vegetables, fats/oils, sugars/sweets, and beverages. Chi-square test, Spearman correlation, and multiple linear regression analyses were conducted to investigate the predictability of food group intakes in iodine status assessed by UIC. …”
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“…In the opposite, a pattern characterized by high intakes of fried foods, meat, offal, beer, wine and aperitifs and spirits, and low intakes of cereals, sugar and sweets and soft drinks was associated with higher prevalence of CVRF. …”
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