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  1. 39601
  2. 39602
    “…Demographic and socioeconomic characteristics of the person responsible for food preparation, including low formal education attainment (OR(Sept) = 4.3, 95% CI: 2.3–8.0; OR(May) = 3.2, 95% CI: 1.8–5.8), unemployment (OR(Sept) = 1.1, 95% CI: 1.1–1.3; OR(May) = 1.3, 95% CI: 1.1–1.5), and Inuit identity (OR(Sept) = 8.9, 95% CI: 3.4–23.5; OR(May) = 21.8, 95% CI: 6.6–72.4), were associated with increased odds of food insecurity in households with children. Fruit and vegetable consumption (OR(Sept) = 0.4, 95% CI: 0.2–0.8; OR(May) = 0.5, 95% CI: 0.2–0.9), as well as eating cooked (OR(Sept) = 0.5, 95% CI: 0.3–1.0; OR(May) = 0.5, 95% CI: 0.3–0.9) and raw (OR(Sept) = 1.7, 95% CI: 0.9–3.0; OR(May) = 1.8, 95% CI: 1.0–3.1) fish were associated with decreased odds of food insecurity among households with children, while eating frozen meat and/or fish (OR(Sept) = 2.6, 95% CI: 1.4–5.0; OR(May) = 2.0, 95% CI: 1.1–3.7) was associated with increased odds of food insecurity. …”
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  3. 39603
    “…All participants were asked to choose a healthy behavior goal associated with eat slowly, walking, or eating more vegetables and were asked to set implementation intentions. …”
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  4. 39604
    “…METHODS: In this cross-sectional survey, mosquito larvae were sampled along the Mara River, its two perennial tributaries (Amala and Nyangores), drying streams, and adjacent aquatic habitats (e.g. swamps, puddles that receive direct sunlight [open sunlit puddles], rock pools, hippo and livestock hoof prints, and vegetated pools). Each habitat was dipped 20 times using a standard dipper. …”
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  5. 39605
    “…Higher odds of hookworm infection was also recorded for schoolchildren who had the habit of eating raw vegetables (AOR = 1.2 95% CI: 1.1–1.7 P = 0.011). CONCLUSION: Hookworm infection and schistosomiasis are prevalent in the school children in rural Bahir Dar in Northwest Ethiopia. …”
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  6. 39606
    “…High neighbourhood socioeconomic disadvantage was characterised by decreased fruit and vegetable intake as early as age 6 years, decreased physical activity, and increased prevalence of daily smoking from adolescence (12 years) onwards, and decreased homoeostasis model assessment insulin sensitivity and increased fasting glucose and insulin concentration from early adulthood (27 years; all p<0·03). …”
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  7. 39607
    “…RESULTS: Individualized household estimates overestimated individual intakes from 24hR for all dietary factors using either estimation method (P<0.001 for each), except for starchy vegetables (AME: P = 0.15; PC: P = 0.85). For foods, overestimation ranged from 4% for seafood to about 240% for fruits, and for nutrients from 11% for carbohydrates and poly-unsaturated fats to 55% for vitamin C, with similar overestimation for the AME and the PC method. …”
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  8. 39608
    “…The prevalence estimates and 95% confidence intervals of the risk factors were 6.5% (95% CI:4.5–8.5) for current smoking, 7.8% (95% CI:5.1–10.5) for harmful use of alcohol, 62.2% (95% CI:58.2–66.2) for low physical activity, 69.7% (95% CI:66.0–73.4) for insufficient fruit and vegetable intake, 37.1% (95% CI:33.2–41.0) for abdominal obesity, 57.3% (95% CI:53.3–61.3) for overweight and obesity, 33.1% (95% CI:29.3–36.8) for raised blood pressure and 7.1% (95% CI:5.0–9.1) for raised blood sugar. …”
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  9. 39609
    “…MAIN OUTCOMES AND MEASURES: Mean diet scores and proportions of US adults meeting poor, intermediate, or ideal diet scores based on the American Heart Association (AHA) 2020 Strategic Impact Goals for diet, including 8 components (fruits and vegetables; whole grains; fish and shellfish; sugar-sweetened beverages; sodium; nuts, seeds, and legumes; processed meats; and saturated fat). …”
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  10. 39610
    “…OBJECTIVE: The study aim was to evaluate the effect of an 8-week Web-based intervention in terms of physical activity (PA), fruit and vegetable consumption (FVC), lifestyle changes, social-cognitive outcomes, and health outcomes compared with a waiting control group in Chinese cardiac patients. …”
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  11. 39611
    “…Exposures to greenness and greyness at the home addresses were measured using the normalized difference vegetation index (NDVI), residential surrounding greyness (RSG) and the CORINE land-cover classes (CLC). …”
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  12. 39612
  13. 39613
    “…Background: The Dietary Approaches to Stop Hypertension (DASH) dietary pattern, which emphasizes fruit, vegetables, fat-free/low-fat dairy, whole grains, nuts and legumes, and limits saturated fat, cholesterol, red and processed meats, sweets, added sugars, salt and sugar-sweetened beverages, is widely recommended by international diabetes and heart association guidelines. …”
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  14. 39614
    por Jia, Peng, Xue, Hong, Cheng, Xi, Wang, Youfa
    Publicado 2019
    “…The Census, road network, and Dun and Bradstreet commercial datasets were used to construct time-varying measurements of 11 types of food outlet within 800-m straight-line and road-network buffer zones of schools and school ZIP codes, including supermarket, convenience store, full-service restaurant, fast-food restaurant, retail bakery, dairy product store, health/dietetic food store, candy store, fruit/vegetable market, meat/fish market, and beverage store. …”
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  15. 39615
    “…We also explored the intervention’s effect on health behaviors (ie, sleep disturbance, alcohol consumption [binge drinking], physical activity, and healthy eating [fruit and vegetable consumption]) and the feasibility and acceptability of the app. …”
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  16. 39616
    “…For both questionnaires, a Healthy Eating Index (HEI) was developed as an indicator for diet quality based on current Danish Food-Based Dietary Guidelines (FBDG) including eight components: fruits and vegetables, fish, dietary fibres, red meat, saturated fatty acids (SFAs), sodium, sugar-sweetened beverages (SSBs), and added sugar. …”
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  17. 39617
    “…Roughly 70% of the mothers did not eat five servings of fruits and vegetables per day, and more than 50% did not exercise at least 30 minutes a day. …”
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  18. 39618
    “…Significant beneficial intervention effects were also observed on consumption of fruit and vegetables, sugar-sweetened beverages and unhealthy snacks, screen-based sedentary behaviour, and physical activity in the intervention group. …”
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  19. 39619
    “…Between 2005-2006 and 2015-2016, increases were also observed for the reported consumption of more fruits, vegetables, and salads (0.1%-29.4%; difference, 30.3%; 95% CI, 28.1%-31.2%; P for trend < .001), changing eating habits (0.3%-20.5%; difference, 20.2%; 95% CI, 19.1%-22.3%; P for trend < .001), and the consumption of less sugar, candy, and sweets (0.2%-20.9%; difference, 21.7%; 95% CI, 19.3%-22.6%; P for trend < .001). …”
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  20. 39620
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