Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

[EX Q]: To determine whether early enteral feeding in a septic intensive care unit (ICU) population, using a formula supplemented with arginine, mRNA, and omega-3 fatty acids from fish oil (Impact), improves clinical outcomes, when compared with a common use, high protein enteral feed without these nutrients.', 'A prospective, randomized, multicentered trial.', 'ICUs of six hospitals in Spain.', 'One hundred eighty-one septic patients (122 males, 59 females) presenting for enteral nutrition in an ICU.', 'Septic ICU patients with Acute Physiology and Chronic Health Evaluation (APACHE) II scores of > or =10 received either an enteral feed enriched with arginine, mRNA, and omega-3 fatty acids from fish oil (Impact), or a common use, high protein control feed (Precitene Hiperproteico).', 'One hundred seventy-six (89 Impact patients, 87 control subjects) were eligible for intention-to-treat analysis. The mortality rate was reduced for the treatment group compared with the control group (17 of 89 vs. 28 of 87; p < .05). Bacteremias were reduced in the treatment group (7 of 89 vs. 19 of 87; p = .01) as well as the number of patients with more than one nosocomial infection (5 of 89 vs. 17 of 87; p = .01). The benefit in mortality rate for the treatment group was more pronounced for patients with APACHE II scores between 10 and 15 (1 of 26 vs. 8 of 29; p = .02).
[EX A]: Does an immune-enhancing enteral diet reduce mortality rate and episodes of bacteremia in septic intensive care unit patients?

[EX Q]: Crowdsourcing dietary ratings for food photographs, which uses the input of several users to provide feedback, has potential to assist with dietary self-monitoring.', "This study assessed how closely crowdsourced ratings of foods and beverages contained in 450 pictures from the Eatery mobile app as rated by peer users (fellow Eatery app users) (n = 5006 peers, mean 18.4 peer ratings/photo) using a simple 'healthiness' scale were related to the ratings of the same pictures by trained observers (raters). In addition, the foods and beverages present in each picture were categorized and the impact on the peer rating scale by food/beverage category was examined. Raters were trained to provide a 'healthiness' score using criteria from the 2010 US Dietary Guidelines.", "The average of all three raters' scores was highly correlated with the peer healthiness score for all photos (r = 0.88, p<0.001). Using a multivariate linear model (R(2) = 0.73) to examine the association of peer healthiness scores with foods and beverages present in photos, peer ratings were in the hypothesized direction for both foods/beverages to increase and ones to limit. Photos with fruit, vegetables, whole grains, and legumes, nuts, and seeds (borderline at p = 0.06) were all associated with higher peer healthiness scores, and processed foods (borderline at p = 0.06), food from fast food restaurants, refined grains, red meat, cheese, savory snacks, sweets/desserts, and sugar-sweetened beverages were associated with lower peer healthiness scores.
[EX A]: Are the use of crowdsourcing for dietary self-monitoring : crowdsourced ratings of food pictures comparable to ratings by trained observers?

[EX Q]: Given the high prevalence of obesity and noncommunicable diseases in Mexico and the key role of dietary quality in these conditions, it is important to determine Mexicans' adherence to dietary recommendations.", 'Our aim was to estimate the percentage of the Mexican population who adhere to dietary recommendations for key food groups.', 'We analyzed 7983 participants aged ≥5 y from the nationally representative Mexican National Health and Nutrition Survey 2012. Dietary intake data were collected by using one 24-h recall and a repeated 24-h recall in 9% of the sample. We used the National Cancer Institute method for episodically consumed foods, which uses a 2-part (probability and amount) mixed regression model to estimate the usual intake distribution and its association with sociodemographic variables.', 'For the food groups that are encouraged, only 1-4% of the population (range across sex and age groups) reached the recommended intake of legumes, 4-8% for seafood, 7-16% for fruit and vegetables, and 9-23% for dairy. For food groups that are discouraged, only 10-22% did not exceed the recommended upper limit for sugar-sweetened beverages, 14-42% for high saturated fat and/or added sugar (HSFAS) products, and 9-50% for processed meats, whereas the majority (77-93%) did not exceed the limit for red meat. A lower proportion of adolescents than children and adults adhered to recommendations for several food groups. Participants with higher socioeconomic status (SES) and living in urban areas consumed more (probability of consuming and/or amount consumed) fruit and vegetables, dairy, and HSFAS products, but they consumed fewer legumes than those of lower SES and living in rural areas.
[EX A]:
Does adherence to Dietary Recommendations for Food Group Intakes be Low in the Mexican Population?