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  1. 39641
    “…Subgroup analyses were performed for subclass (e.g., flavonoids and other classes), sex, geographical area, study design, anatomical subtype, histological subtype, family history of GC and fruit and/or vegetable intake. The study was registered with PROSPERO (#CRD42022306014). …”
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  2. 39642
    “…Benefits discussed by intervention participants included gaining health knowledge and skills, positive changes in their food purchasing and cooking, and eating greater quantities and varieties of fruits and vegetables. HCPs also described the intervention as beneficial and persuasive for the target audience and had specific suggestions for future tailoring of such programs. …”
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  3. 39643
    “…Diversity subscore points were awarded when expenditure shares were above the 25th percentile for 5 food groups (“Fruits”, “Vegetables”, “Starches”, “Dairy”, “Meat, Fish and Eggs”). …”
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  4. 39644
    “…INTRODUCTION: Pakchoi is an important leafy vegetable in China. Due to industrialization and urbanization, pakchoi has been cultivated in newly reclaimed mountainous lands in Zhejiang Province, China in recent years. …”
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  5. 39645
    “…The majority (35 species, 49%) of plants of WFPs were eaten as cooked vegetables. A cross-cultural comparison revealed that four species overlapped among five ethnic groups (Arain, Jutt, Rajpot, Mewati, and Dogar). …”
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  6. 39646
    “…After adjusting for age, water source and homegrown vegetable consumption in multivariate quantile regression, participants from the high-exposure site had significantly higher blood concentrations than those in the control site (coefficient: 1.00; 95% CI = 0.25–1.74; p-value = 0.009) demonstrating that blood arsenic is a good biomarker of arsenic exposure. …”
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  7. 39647
    “…The main categories of WEPs include wild vegetables (69) and tea substitutes (42). The most commonly consumed parts are fruits (37), followed by whole plants (33) and leaves (21), with herbaceous plants (74) being the most numerous. …”
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  8. 39648
    “…The high-risk app users improved their daily intake of vegetables (baseline: mean 0.76, SD 0.43; follow-up: mean 0.93, SD 0.26; t(81)=–3.77, P<.001) and daily exercise (baseline: mean 0.40, SD 0.49; follow-up: mean 0.54, SD 0.50; t(81)=–2.08, P=.04). …”
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  9. 39649
    “…Furthermore, cultures on food waste (FW) and fruit and vegetable waste (FVW) fermentate were carried out and lipid production was effectively improved under this alkaline condition. …”
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  10. 39650
    “…Moreover, most of the parents who answered the parent perception questionnaire agreed that their children showed greater interest in explaining why they should avoid some unhealthy foods (67%, 26/39), in distinguishing between healthy and unhealthy foods (64%, 25/39), and in the intake of fruits (64%, 25/39) and vegetables (59%, 23/39). Finally, 14 parents stated that they introduced some changes in their children's diet based on the comments and suggestions they received from their children. …”
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  11. 39651
    “…At 3.6y children in the intervention group had higher fruit (adjusted mean difference [MD] = 25.34 g; CI(95):1.68,48.99), vegetable (MD = 19.41; CI(95):3.15,35.67) and water intake (MD = 113.33; CI(95):40.42,186.25), than controls. …”
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  12. 39652
  13. 39653
    “…The ‘Nourish’ intervention also produced improvements in understanding of food labels (adjusted difference in mean = 0.15; 95% CI 0.05, 0.25; P < 0.01) and knowledge of vegetables in season (adjusted difference in mean = 0.29; 95% CI 0.01,0.56; P = 0.04) whilst an increased willingness to try new foods and improved perceived cooking competence was also observed. …”
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  14. 39654
    “…Other cognitive domains were explored, including attention and psychomotor processing speed (Trail Making Test [TMT]-A and Digit Symbol Substitution Test [DSST]), executive function (TMT-B), and language and semantic verbal fluency (Animal Naming, Vegetable Naming, and Boston Naming Tests). Random slopes mixed-effects models with inverse probability of treatment weighting were used, yielding rate ratios (RR) or regression coefficients (B), as appropriate to the distribution of the data. …”
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  15. 39655
    por Simopoulos, Artemis P.
    Publicado 2021
    “…Physicians should measure their patients' fatty acids and recommend decreasing the intake of foods rich in omega-6 fatty acids and increasing the intake of omega-3 fatty acids along with fruits and vegetables.…”
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  16. 39656
    “…The effectiveness of extended contact relative to historic controls was quantified by pre-to-post HLaC+Txt changes in self-reported: weight, moderate-vigorous physical activity (MVPA), fruit and vegetable intake, fat and fibre behaviour. Maintenance, following 6-months of noncontact for the intervention cohort, was assessed for these same variables. …”
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  17. 39657
    “…RESULTS: Children (n = 298) living in ‘higher-risk’ home environments (a 1 unit increase in the HEI obesogenic risk score) were less likely to consume fruits (OR; 95% CI = 0.40; 0.26–0.61, p < 0.001), and vegetables (0.30; 0.18–0.52, p < 0.001), and more likely to consume energy-dense snack foods (1.71; 1.08–2.69, p = 0.022), convenience foods (2.58; 1.64–4.05, p < 0.001), and fast foods (3.09; 1.90–5.04, p < 0.001). …”
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  18. 39658
  19. 39659
    “…Aedes aegypti rested on cloth hangings and curtains, followed by the furniture, while Aedes albopictus was predominant in outdoor vegetation. In both vectors, biting patterns denoted a typical diurnal pattern with two peaks of host-seeking and biting activity in the morning and afternoon. …”
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  20. 39660
    “…We examined the independent and interactive effects of fine particulate matter (PM(2.5)) and Normalized Difference Vegetation Index (NDVI) on MetS. Adjustment covariates included biomarker measurement year, baseline age, sex, ethnicity, education, marriage, residence, exercise, smoking, alcohol drinking, and GDP per capita. …”
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