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  1. 39101
    “…With this model we investigate to what extent per-seed probabilities of LDD and seed load vary between individuals and throughout the vegetation period (May–December). Subsequently, we test whether per-seed LDD probability and seed load are positively (or negatively) correlated so that more mobile animals disperse more (or less) seeds. …”
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    The importance of individual movement and feeding behaviour for long-distance seed dispersal by red deer: a data-driven model
  2. 39102
    “…The study further revealed percentage increase in the proportion of respondents who consumed meat (27.72%), mango (128.20%), watermelon (152.29%), carrot (336.34%) and leafy vegetables (85.56%) daily after the intervention. In addition, the percentage of students who rarely consumed all the studied micronutrient-rich foods decreased after the intervention. …”
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    Evidence-based strategy for prevention of hidden hunger among adolescents in a suburb of Nigeria
  3. 39103
    “…CONCLUSION: The risk of CRC increases with modifiable factors by Western influences on Tunisian lifestyle such as alcohol use, high fat consumption and possibly inadequate intake of vegetables. In addition, KCNB1 polymorphisms also markedly influence CRC susceptibility. …”
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    Western influenced lifestyle and Kv2.1 association as predicted biomarkers for Tunisian colorectal cancer
  4. 39104
    “…The clinical suspicion of acute infective endocarditis was confirmed by transesophageal echocardiography, demonstrating a large vegetation on the mitral valve associated with severe valvular regurgitation. …”
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    Non-toxigenic Corynebacterium diphtheriae infective endocarditis with embolic events: a case report
  5. 39105
    “…MEASURES: Self-report questionnaires were used to assess adolescents’ sociodemographic factors, fruit/vegetable (F/V) intake and physical activity. Participants’ weight, height, waist circumference (WC), hip circumference and body fat percentage (%BF) were measured, and waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body mass index (BMI) were calculated. …”
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    Prevalence and determinants of overweight/obesity among school-aged adolescents in the United Arab Emirates: a cross-sectional study of private and public schools
  6. 39106
    por Aleksandrova, Krasimira, Reichmann, Robin, Kaaks, Rudolf, Jenab, Mazda, Bueno-de-Mesquita, H. Bas, Dahm, Christina C., Eriksen, Anne Kirstine, Tjønneland, Anne, Artaud, Fanny, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Hüsing, Anika, Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Panico, Salvatore, Masala, Giovanna, Grioni, Sara, Sacerdote, Carlotta, Tumino, Rosario, Elias, Sjoerd G., May, Anne M., Borch, Kristin B., Sandanger, Torkjel M., Skeie, Guri, Sánchez, Maria-Jose, Huerta, José María, Sala, Núria, Gurrea, Aurelio Barricarte, Quirós, José Ramón, Amiano, Pilar, Berntsson, Jonna, Drake, Isabel, van Guelpen, Bethany, Harlid, Sophia, Key, Tim, Weiderpass, Elisabete, Aglago, Elom K., Cross, Amanda J., Tsilidis, Konstantinos K., Riboli, Elio, Gunter, Marc J.
    Publicado 2021
    “…RESULTS: The final selection model included age, waist circumference, height, smoking, alcohol consumption, physical activity, vegetables, dairy products, processed meat, and sugar and confectionary. …”
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    Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score
  7. 39107
    “…Regular physical activity (at least 30 min per day) and sufficient fruit and vegetable (FV) intake (at least 400 g per day) were significantly associated with older people’s life satisfaction (p ≤ 0.001 and p ≤ 0.10, respectively) after controlling all sociodemographic variables. …”
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    Influence of healthy lifestyle behaviors on life satisfaction in the aging population of Thailand: a national population-based survey
  8. 39108
    “…BACKGROUND: UK adolescents consume fewer fruits and vegetables and more free sugars than any other age group. …”
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    Development of a short food frequency questionnaire to assess diet quality in UK adolescents using the National Diet and Nutrition Survey
  9. 39109
    “…The intervention included resurfaced footpaths, removal of encroaching vegetation, improved entrances, new benches and signage. …”
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    A natural experimental study of improvements along an urban canal: impact on canal usage, physical activity and other wellbeing behaviours
  10. 39110
    “…This diet is characterized by abundant unsaturated fat and protein, high-fiber foods such as non-starchy vegetables and nuts, and minimal refined carbohydrates. …”
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    Low-carbohydrate dietary pattern on glycemic outcomes trial (ADEPT) among individuals with elevated hemoglobin A1c: study protocol for a randomized controlled trial
  11. 39111
    “…Greenspace indicators were generated for Normalised Difference Vegetation Index (NDVI), tree cover density (TCD), and green land use (GLU). …”
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    Neighbourhood and path-based greenspace in three European countries: associations with objective physical activity
  12. 39112
    “…They would not buy vegetables from a vendor with HIV OR 0.817 (0.729–0.915) and were less likely to support that HIV positive children should be allowed to attend school with HIV negative children OR 0.804 (0.680–0.950). …”
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    Understanding HIV and associated risk factors among religious groups in Zimbabwe
  13. 39113
    “…METHODS: Normalized Difference Vegetation Index (NDVI) data collected by the Landsat 8 satellite were used as an ecological and geographical suitability indicator of O. hupensis habitats in the Poyang Lake region. …”
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    Potential impact of flooding on schistosomiasis in Poyang Lake regions based on multi-source remote sensing images
  14. 39114
    “…Sedentary time increased by 32% and inadequate fruit and vegetable intake increased by 10% (P < 0.001 for both), while tobacco and alcohol consumption dropped by 41% and 80%, respectively (P < 0.001), during the lockdown. …”
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    Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme
  15. 39115
    “…These were used to structure recommended diets using 6 food groups: protein foods, dairy, grains, fruits, vegetables, and oils/fats. To determine specific quantities of individual foods within these groups, we used data on food supplies available for human consumption for each country from the UN Food and Agriculture Organization’s food balance sheets. …”
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    The carbon footprint of dietary guidelines around the world: a seven country modeling study
  16. 39116
    “…More than one-third adults were physically inactive [41.3% (95% CI: 39.4–43.3)], majority [98.4% (95% CI: 97.8–98.8)] consumed less than 5 servings of fruits and / or vegetables per day and mean salt intake was 8 g/day (95% CI: 7.8–8.2). …”
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    National noncommunicable disease monitoring survey (NNMS) in India: Estimating risk factor prevalence in adult population
  17. 39117
    “…Separate analyses of the sociodemographic and ocular characteristics showed that the NEI-VFQ-25 scores were affected mostly by family income, educational level, descent, diet (vegetables/fruits), physical activity, and visual acuity (VA). …”
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    The effects of age-related macular degeneration on quality of life in a Brazilian population
  18. 39118
    “…For example, participants with a high probability for subgroup 5 were characterized by a higher Alternate Healthy Eating Index and Mediterranean Diet Score and a higher intake of food items such as fruits, vegetables, legumes, and whole grains, while participants with prevalent type 2 diabetes mellitus were characterized by a lower probability for subgroup 5. …”
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    Associations between habitual diet, metabolic disease, and the gut microbiota using latent Dirichlet allocation
  19. 39119
    “…The land-use type affected the presence of Anopheles larvae (p = 0.001), while vegetation cover influenced larval density (p < 0.05). …”
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    Larval habitat diversity and Anopheles mosquito species distribution in different ecological zones in Ghana
  20. 39120
    “…During the COVID-19 lockdowns in India, 83% of participants reported difficulty in accessing healthcare, 17% faced difficulties in accessing medicines, 59% reported loss of income, 38% lost jobs, and 28% reduced fruit and vegetable consumption. In the final-adjusted regression model, rural residence (OR, 95%CI: 4.01,2.90–5.53), having diabetes (2.42, 1.81–3.25) and hypertension (1.70,1.27–2.27), and loss of income (2.30,1.62–3.26) were significantly associated with difficulty in accessing medicines. …”
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    Health, psychosocial, and economic impacts of the COVID-19 pandemic on people with chronic conditions in India: a mixed methods study
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