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  1. 8501
    “…Food frequency questions showed a homogeneity of 0.69, and a sensitivity of over 60% for all food items except chips (37.5%) and sweets (51.7%). Conclusions: The POIBA-HDWE FFQ showed moderate correlations with the gold standard, high sensitivity for most food types and acceptable internal consistency. …”
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    Validation of ‘POIBA-How do we eat?’ questionnaire in 9-10 years old schoolchildren
  2. 8502
    “…Those with higher ASRS scores had higher rates of self-reported unhealthy lifestyles and poor diets with high consumption of sweets. We also ascertained a paradoxical finding that is not in line with the current literature on the disorder – lower rates of cigarette smoking among people with higher ADHD symptomatology. …”
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    ADHD and lifestyle habits in Czech adults, a national sample
  3. 8503
    “…RESULTS: More than 83% of adults did not meet the recommendations for vegetables, fruits, whole grains, legumes and high fibre intakes, 70% were overweight or obese, 50–72% reported frequent consumption of sweetened beverages and sweets, and 47% reported frequent consumption of fast foods. …”
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    Adherence to the Qatar dietary guidelines: a cross-sectional study of the gaps, determinants and association with cardiometabolic risk amongst adults
  4. 8504
    “…Acceptable and consistent reproducibility (r = 0.44–0.94 and no large difference between test and retest) was observed for most beverages, milk products, spreads on bread and meat (all of which included food items categorised into at least two fat categories) and also for eggs, fruits and vegetables, nuts, pasta and rice, dessert/sweets, smoking and physical activity. Reproducibility did not consistently meet a satisfactory standard (r ≤ 0.41 or large difference between test and retest) for unsweetened cereals, fatty fish, cakes, oils, white-, bread, crispbread and rice. …”
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    Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors
  5. 8505
    “…Multivariate Logistic regression suggested that the possible risk factors for deciduous caries included: older age, drinking sweetened beverages frequently, often or usually eating sweets before sleep compared to rarely/never eat them at this time, exclusive or predominant breastfeeding compared to exclusive or predominant artificial feeding and latter introduction of toothbrushing. …”
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    Deciduous dental caries status and associated risk factors among preschool children in Xuhui District of Shanghai, China
  6. 8506
    “…METHODS: Frequency of consumption of fruit, vegetables, fish, fast food, sugar-sweetened beverages, sweets, breakfast and home-cooked meals were split by the median into higher and lower consumption. …”
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    Exploring the relationship between perceived barriers to healthy eating and dietary behaviours in European adults
  7. 8507
    “…RESULTS: Two DPs were identified: a ‘healthy’ pattern with high factor loadings for fruit, vegetables, wholegrains and oily fish and an ‘unhealthy’ pattern with high factor loadings for sugar and sweets, chips, high fat dairy products and French fries. …”
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    Dietary Patterns and Retinal Vessel Caliber in the Irish Nun Eye Study
  8. 8508
    “…Health-related behaviours included physical activity, sweets consumption and prior T2D screening. Covariates included socio-demographic factors and family history of T2D. …”
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    Who perceives a higher personal risk of developing type 2 diabetes? A cross-sectional study on associations between personality traits, health-related behaviours and perceptions of susceptibility among university students in Denmark
  9. 8509
    “…Dietary habits were categorized based on the overall type of diet, fruit/vegetable servings, fat content, dairy consumption, dessert/sweets consumption, and fluid intake. Patients were grouped into mild/moderate and severe AP. …”
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    Association of Dietary Habits with Severity of Acute Pancreatitis
  10. 8510
    “…Moderate- to-vigorous physical activity level (≥420 min/week), TV watching and computer use/gaming (<2 h/day), daily consumption of fruit juice, fruit, vegetables, soft drinks, savory foods and sweets, and current alcohol and tobacco use were measured before and after intervention. …”
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    Effect of a Multicomponent Intervention on Lifestyle Factors among Brazilian Adolescents from Low Human Development Index Areas: A Cluster-Randomized Controlled Trial
  11. 8511
    “…Dietary habits were assessed by weekly consumption of fruits, vegetables, dairy products, fried foods, sweets, grains, cereals, white meat, soft drinks and snacks. …”
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    Association of sedentary behaviour patterns with dietary and lifestyle habits among public school teachers: a cross-sectional study
  12. 8512
    “…About 65% arts students believed that sweets/soft drinks/chips were causing tooth decay compared with 83% science and 80% commerce students (p value < 0.001). …”
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    Oral Health Knowledge, Attitude, and Practices among Postgraduate Students of Panjab University, Chandigarh: A Cross-sectional Study
  13. 8513
    por Wang, Rongxin, Wang, Jing, Hu, Shuiqing
    Publicado 2021
    “…Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. …”
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    Study on the relationship of depression, anxiety, lifestyle and eating habits with the severity of reflux esophagitis
  14. 8514
    “…Self-reported outcomes suggested that families changed their eating habits to include more vegetables, less sweets and junk food. Parents reported an increase in family physical activity and that the activities brought the family closer together. …”
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    Primary Disease Prevention for Southwest American Indian Families During the COVID-19 Pandemic: Camp in a Box
  15. 8515
    “…Results: Three dietary patterns were identified: “Western”: consisting of fast food, sweets, and processed meat; “Traditional Emirati” rich in vegetables, traditional Emirati-mixed-dishes and whole dairy; while whole grains, low-fat dairy, and bulgur were components of the “Prudent” pattern. …”
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    Dietary Patterns and Their Associations With the FTO and FGF21 Gene Variants Among Emirati Adults
  16. 8516
    “…Dietary patterns were categorized into ‘prudent’ (fruits and vegetables), ‘western’ (red meat, sweets, pastries, oils), ‘traditional’ (red meat, legumes, potatoes, bread), and ‘fish and alcohol’. …”
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    Dietary patterns related to total mortality and cancer mortality in the United States
  17. 8517
    “…However, a higher consumption of unhealthy foods (e.g., snacks and sweets) was also observed. Results indicated improved diet quality in Europe, especially among Mediterranean countries, with the exception of France, while a switch to poor nutrient patterns was observed in Colombia and Saudi Arabia. …”
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    Impact of Nationwide Lockdowns Resulting from the First Wave of the COVID-19 Pandemic on Food Intake, Eating Behaviors, and Diet Quality: A Systematic Review
  18. 8518
    por Oncina-Cánovas, Alejandro, Vioque, Jesús, González-Palacios, Sandra, Martínez-González, Miguel Ángel, Salas-Salvadó, Jordi, Corella, Dolores, Zomeño, Dolores, Martínez, J. Alfredo, Alonso-Gómez, Ángel M., Wärnberg, Julia, Romaguera, Dora, López-Miranda, José, Estruch, Ramon, Bernal-Lopez, Rosa M., Lapetra, José, Serra-Majem, J. Luís, Bueno-Cavanillas, Aurora, Tur, Josep A., Martín-Sánchez, Vicente, Pintó, Xavier, Delgado-Rodríguez, Miguel, Matía-Martín, Pilar, Vidal, Josep, Vázquez, Clotilde, Daimiel, Lidia, Ros, Emili, Toledo, Estefanía, Babio, Nancy, Sorli, Jose V., Schröder, Helmut, Zulet, María Angeles, Sorto-Sánchez, Carolina, Barón-López, Francisco Javier, Compañ-Gabucio, Laura, Morey, Marga, García-Ríos, Antonio, Casas, Rosa, Gómez-Pérez, Ana María, Santos-Lozano, José Manuel, Vázquez-Ruiz, Zenaida, Nishi, Stephanie K., Asensio, Eva M., Soldevila, Núria, Abete, Itziar, Goicolea-Güemez, Leire, Buil-Cosiales, Pilar, García-Gavilán, Jesús F., Canals, Erik, Torres-Collado, Laura, García-de-la-Hera, Manuela
    Publicado 2021
    “…The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently. …”
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    Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis
  19. 8519
    “…RESULTS: The RRR pattern was characterized by high intake of fruits, nuts/seeds, tea, wine and low intake of e.g. bread, poultry, processed meat, chocolate/sweets, and soft drinks. 10-point increments in PDI, hPDI, and uPDI were associated with 8.7% (95% CI: 4.2; 13.4), 10.4% (95% CI: 6.6; 14.3), and −8.8% (95% CI: −12.1; −5.4) change in plasma boron concentrations, respectively. …”
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    Plasma boron concentrations in the general population: a cross-sectional analysis of cardio-metabolic and dietary correlates
  20. 8520
    “…Two dietary patterns were identified by factor analysis: a healthy pattern characterized by frequent consumption of fruits and vegetables; and a mixed dietary pattern characterized by intake of fatty snacks, sweets and sugar snacks, sugary beverages, meat and alternatives, milk, and milk products. …”
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    Lack of an association between dietary patterns and adiposity among primary school children in Kilimanjaro Tanzania
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