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    <title>DSpace Collection: 185-411</title>
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    <description>185-411</description>
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    <dc:date>2026-04-08T21:05:09Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/4846">
    <title>Zinc Supplementation and BodyWeight: A Systematic Review and Dose–Response Meta-analysis of Randomized Controlled Trials</title>
    <link>http://localhost:8080/xmlui/handle/123456789/4846</link>
    <description>Title: Zinc Supplementation and BodyWeight: A Systematic Review and Dose–Response Meta-analysis of Randomized Controlled Trials
Authors: Abdollahi, Shima
Abstract: The aim of this study was to determine the effect of zinc supplementation on anthropometric measures. In this systematic review and dose–&#xD;
response meta-analysis, we searched PubMed, Scopus, ISI Web of Science, and the Cochrane Library from database inception to August 2018 for&#xD;
relevant randomized controlled trials. Mean differences and SDs for each outcome were pooled using a random-effects model. Furthermore, a&#xD;
dose–response analysis for zinc dosage was performed using a fractional polynomial model. Quality of evidence was evaluated using the Grading&#xD;
of Recommendations Assessment, Development and Evaluation (GRADE) methodology. Twenty-seven trials (n= 1438 participants) were included&#xD;
in the meta-analysis. There were no significant changes in anthropometric measures after zinc supplementation in the overall analysis. However,&#xD;
subgroup analyses revealed that zinc supplementation increased body weight in individuals undergoing hemodialysis (HD) [3 trials, n = 154&#xD;
participants; weighted mean difference (WMD) = 1.02 kg; 95% CI: 0.38, 1.65 kg; P= 0.002; I2 = 11.4%] and decreased body weight in subjects who&#xD;
are overweight/obese but otherwise healthy (5 trials, n= 245 participants; WMD=−0.55 kg; 95% CI: −1.06, −0.04 kg; P= 0.03; I2 = 31.5%). Dose–&#xD;
response analyses revealed a significant nonlinear effect of supplementation dosage on BMI (P=0.001). Our data suggest that zinc supplementation&#xD;
increases body weight in patients undergoing HD and decreases body weight in individuals who are overweight/obese but otherwise healthy,&#xD;
although after normalization for study duration, the association observed in subjects who are overweight/obese disappeared. Although more&#xD;
high-quality studies are needed to reach a definitive conclusion, our study supports the view that zinc may be associated with body weight.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/4845">
    <title>Food Environment Research in Low- and Middle-Income Countries: A Systematic Scoping Review</title>
    <link>http://localhost:8080/xmlui/handle/123456789/4845</link>
    <description>Title: Food Environment Research in Low- and Middle-Income Countries: A Systematic Scoping Review
Authors: Turner, Christopher
Abstract: 387–397.&#xD;
Keywords: ,,, food desert, low- and middle-income countries, double burden&#xD;
of malnutrition, food and nutrition security, diets, nutrition, health</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/4843">
    <title>TheWater Footprint of Diets: A Global Systematic Review and Meta-analysis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/4843</link>
    <description>Title: TheWater Footprint of Diets: A Global Systematic Review and Meta-analysis
Authors: Harris, Francesca; Moss, Cami; Joy, Edward JM; Quinn, Ruth
Abstract: Agricultural water requirements differ between foods. Population-level dietary preferences are therefore a major determinant of agricultural water&#xD;
use. The “water footprint” (WF) represents the volume of water consumed in the production of food items, separated by water source; blue WF&#xD;
represents ground and surface water use, and green WF represents rain water use. We systematically searched for published studies using the WF&#xD;
to assess the water use of diets. We used the available evidence to quantify the WF of diets in different countries, and grouped diets in patterns&#xD;
according to study definition. “Average” patterns equated to those currently consumed, whereas “healthy” patterns included those recommended&#xD;
in national dietary guidelines.We searched 7 online databases and identified 41 eligible studies that reported the dietary green WF, blueWF, or total&#xD;
WF (green plus blue) (1964 estimates for 176 countries). The available evidence suggests that, on average, European (170 estimates) and Oceanian&#xD;
(18 estimates) dietary patterns have the highest green WFs (median per capita: 2999 L/d and 2924 L/d, respectively), whereas Asian dietary patterns&#xD;
(98 estimates) have the highest blue WFs (median: 382 L/d per capita). Foods of animal origin are major contributors to the green WFs of diets,&#xD;
whereas cereals, fruits, nuts, and oils are major contributors to the blue WF of diets. “Healthy” dietary patterns (425 estimates) had green WFs that&#xD;
were 5.9% (95% CI: −7.7, −4.0) lower than those of “average” dietary patterns, but they did not differ in their blue WFs. Our review suggests that&#xD;
changes toward healthier diets could reduce total water use of agriculture, butwould not affect blue water use. Rapid dietary change and increasing&#xD;
water security concerns underscore the need for a better understanding of the amount and type of water used in food production to make informed&#xD;
policy decisions</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/4840">
    <title>Farm to School Activities and Student Outcomes: A Systematic Review</title>
    <link>http://localhost:8080/xmlui/handle/123456789/4840</link>
    <description>Title: Farm to School Activities and Student Outcomes: A Systematic Review
Authors: Prescott, Melissa Pflugh; Cleary, Rebecca; Bonanno, Alessandro; Costanigro, Marco
Abstract: Farm to school programs (F2SPs) operate in 42% of school districts and are supported in part through federal and state policies as well as&#xD;
philanthropic funding. Although research evaluating the effects of farm to school–related activities on student outcomes is growing, a systematic&#xD;
review of the results and thus a synthesis of implications for future programming have not occurred. The primary objective of this systematic&#xD;
literature review is to summarize and evaluate studies on student outcomes associated with farm to school–related activities up to 1 September,&#xD;
2017. Four databases spanning 4 research disciplines were used to identify full-text, English-language studies. Twenty-one studies were reviewed: 7&#xD;
explicitly investigated F2SPs, and 14 evaluated the impact of school-based interventions that were relevant to activities reported in the 2013 and/or&#xD;
2015 Farm to School Census. All of the F2SP studies (n = 7) and 85.7% of farm to school–related activity studies (n = 12) were multicomponent,&#xD;
and there was a wide variety of implemented intervention components across the reviewed studies. Results from F2SP and farm to school–related&#xD;
activity studies consistently show positive impacts on food and nutrition-related knowledge; most studies also suggest a positive relation between&#xD;
farmto school–related activities and healthy food selection during school meals, nutrition self-efficacy, and willingness to try fruits and vegetables.&#xD;
The impact of farm to school activities on fruit and vegetable consumption and preferences is unclear. The most common F2SP study limitations&#xD;
were study designs that preclude causal inference, outcome measurement with no reported or limited psychometric testing, lack of long-term&#xD;
outcome evaluation, and challenges related to quantifying intervention implementation. These findings underscore the need for more conclusive&#xD;
evidence on the relation between farm to school–related activities and changes in fruit and vegetable consumption</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </item>
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