“…Results: Three major dietary patterns were identified: the "Quasi-Western Pattern" was characterized by higher intakes of sweets and desserts, snacks, legumes, honey or jam, ketchup, mayonnaise, yellow vegetables, potatoes, red meat, refined grains; the "Sugar and Fast foods Pattern" was characterized by higher intakes of sugar, soft drinks, fast foods, high-fat dairy, hydrogenated fats, and the "Quasi-Mediterranean Pattern" was characterized by higher intakes of fruits, cruciferous vegetables, green leafy vegetables, other vegetables, nuts, coffee. …”
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“…Baking ingredients, fresh vegetables, fresh fruit and chocolate had the largest sales increase by individuals, while bakery products, fresh fish and salted snacks purchases highly decreased. Increased FP was associated with the occurrence of IB (adjOR 2.48, p < 0.001) and inversely associated with not having worked during lockdown (adjOR 0.71, p = 0.003). …”
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“…Adults over age 60 years ate 3 isocaloric meals with two snacks daily for 14 days. The meal plans differed in sodium density (<0.95 vs. >2 mg/kcal), but were equivalent in potassium and macronutrients. …”
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“…There were significant correlations between frequency of tooth brushing, frequency of snacks/drinks before bed and dmft scores (r = −0.584, p < 0.001 and r = 0.547, p = 0.001 respectively). …”
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“…When meal frequency and energy proportion were evaluated, the average meal frequency was 2.8 ± 0.5 and energy proportions of breakfast, lunch, dinner, and snacks were 4.5, 39.2, 37.6, and 18.5%, respectively; there were no significant differences between the two groups. …”
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“…However, compared to the traditional group, the enhanced reported higher %EI from nutrient-dense foods (+7.4%EI; 95% CI 1.3, 13.5) and protein (+2.4%EI; 95% CI 0.1, 4.6), and reduced %EI from fried/takeaway foods (−3.6%EI; 95% CI −6.5, −0.7), baked sweet products (−2.0%EI; 95% CI −3.6, −0.4), and packaged snacks (−1.1%EI; 95% CI −2.2, −0.3). This weight loss intervention reduced total energy and sodium intakes as well as increased fruit intake in adults at six months. …”
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“…Four dietary patterns were identified by factor analysis; ‘Diverse’, ‘Western’, ‘Traditional’, and ‘Snacks and beverages’. The ‘Western’ pattern, highest factor loadings for flour and bread, potatoes, red meat, processed meat, eggs, and cheese, was significantly associated with a high (60%) risk of lower lean muscle mass (odds ratio [95% confidence interval] = 1.60 [1.07–2.39], P for trend = 0.01) after adjustments for potential covariates. …”
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“…Observations included store location, type, whether healthy foods or HDNA were promoted, and availability and pricing of fresh fruits and vegetables, canned items, beverages, water, snacks and traditional foods. Differences between 2013 and 2019 and by store type and location were tested. …”
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“…A total of 43 WFPs were recorded, most of which were used as cooked vegetables and raw snacks. Leaves were the most frequently used plant part. …”
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“…RESULTS: We identified three patterns in the two surveys: (1) “traditional”, characterized by rice, beans, and meat; (2) “breads and butter/margarine”, characterized by breads, oils, and fats (including margarine/butter) and, coffee and teas in 2008–2009; and (3) “western”, characterized by sodas, pizzas, snacks, flour, pasta, and sweets in 2017–2018. The “traditional” pattern had greater adherence among men, residents of the Midwest region and individuals with incomplete primary education. …”
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“…In terms of detection of meals and snacks, the proposed method on average achieves 93% precision and 76% recall with a detection delay time of 38 ± 15 min (92% precision, 92% recall, and 37 min detection time for meals only). …”
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“…Analysis of food intake revealed that BMI-R significantly improved their dietary habits (p = 0.002) by reducing the intake of sugar-sweetened beverages (p = 0.019), processed foods (p = 0.002), sweets (p < 0.001), and unhealthy snacks (p = 0.009), as compared with BMI-NR. There was no change in the intake of second helpings, portion sizes, skipping meals, frequency of meals eaten at school, condiment use, intake of fruits and vegetables and consumption of whole grains between the groups. …”
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“…RESULTS: We identified a Rural pattern characterized by tortilla, legumes and egg consumption; a Diverse pattern, characterized by fruits, meat and poultry, vegetables, and dairy beverages, and desserts; and a Westernized pattern, characterized by sweetened non-dairy beverages, fast food, bakery and cookies, candies and salty snacks. In men, Westernized pattern was associated with overweight-obesity (PR = 1.11, 95% CI 0.97–1.27), and abdominal obesity (PR = 1.15, 95% CI 1.00–1.33), the Diverse pattern was associated with overweight-obesity (PR = 1.18, 95% CI 1.00–1.38), and abdominal obesity (PR = 1.27, 95% CI 1.07–1.50), compared with the Rural pattern. …”
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“…Physical activity and healthy balanced meals decreased (less than 1 hr or 1-3 hrs/week vs 2 meals/day, p= <0.001), whereas daily screen time (1-3 hrs/week vs 4-6 hrs/week, p= <0.001), sleep hours (8-9 hrs/day vs 10-11 hrs/day, p= <0.001) and the ingestion of unhealthy snacks had increased (1-2 meals/day vs. 2-3 meals/day, p=<0.001). …”
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“…Results: Participants significantly increased their consumption of vegetables (p = 0.04) and lowered their consumption of sweet snacks (p = 0.007), pastries (p = 0.02), and processed food (p = 0.05). …”
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“…Using the K-means method, the following four dietary patterns were identified: (1) sandwiches, tortas, and sweetened dairy products were consumed by 13.1% (n = 46) of the schoolchildren; (2) sweet snacks were consumed by 50.3% (n = 176); (3) sweetened dairy products were brought by 15.1% of the children (n = 53); and (4) sandwiches and tortas were brought by 21.4% (n = 75). …”
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“…By contrast, children who never consumed foods rich in vitamin A precursors and vitamin A and fruit or consumed daily snacks/junk food were more likely to be overweight/obese. …”
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“…Feeding exclusively with formula was observed to increase the odds of S-ECC (OR = 2.20 (1.29–3.76); p = 0.004). Consuming > three snacks daily (OR = 1.39 (0.97–1.98); p = 0.072) and the reluctance to eat resilient foods (OR = 1.63 (1.05–2.51); p = 0.028) were nullified by the confounding factors. …”
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“…Sociodemographic characteristics, related environmental factors, nutrient consumption, food recommendations, and psychological distress were all measured. 516 trustworthy data revealed that two nutrient-poor foods were consumed less frequently during the lockdown than they were before to the COVID-19 outbreak (i.e., salty snacks and alcoholic beverages). People who endured high levels of psychological distress in particular tended to consume more. …”
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“…The standard PA children more frequently than increased PA ate high sugar and/or fat content food as sweets, savoury snacks and drank fizzy drinks as well as fast foods. …”
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