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126 results for “nutritional risk”
Materials for "Poor nutritional condition promotes high-risk behaviours: A systematic review and meta-analysis"
<p>This contains a permanent record of dataset and analysis code for the study:</p> <p>Moran, N. P., Sánchez‐Tójar, A., Schielzeth, H., & Reinhold, K. (2021). Poor nutritional condition promotes high‐risk behaviours: a systematic review and meta‐analysis. <em>Biological Reviews</em>, <em>96</em>(1), 269-288.</p> <p>Full data analysis records are available on https://osf.io/3tphj/</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 836937. Also, this research was funded by the German Research Foundation (DFG) as part of the SFB TRR 212 (NC³) – Project numbers 316099922 and 396782608.</p>
Individualized Nutritional Support versus Usual Care in Medical Inpatients at Risk of Malnutrition: Randomized Trial
<p>Dataset for analysis of the trial "Individualized Nutritional Support versus Usual Care in Medical Inpatients at Risk of Malnutrition"</p>
Comparison of Nutrition Risk Screens
ClinicalTrials.gov study NCT02585245. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Data from: Nutritional state reveals complex consequences of risk in a wild predator–prey community
Animal populations are regulated by the combined effects of top-down, bottom-up and abiotic processes. Ecologists have struggled to isolate these mechanisms because their effects on prey behaviour, nutrition, security and fitness are often interrelated. We monitored how forage, non-consumptive effects (NCEs), consumptive predation and climatic conditions influenced the demography and nutritional state of a wild prey population during predator recolonization. Combined measures of nutrition, survival and population growth reveal that predators imposed strong effects on the prey population through interacting non-consumptive and consumptive effects, and forage mechanisms. Predation was directly responsible for adult survival, while declining recruitment was attributed to predation risk-sensitive foraging, manifested in poor female nutrition and juvenile recruitment. Substituting nutritional state into the recruitment model through a shared term reveals that predation risk-sensitive foraging was nearly twice as influential as summer forage conditions. Our findings provide a novel, mechanistic insight into the complex means by which predators and forage conditions affect prey populations, and point to a need for more ecological studies that integrate behaviour, nutrition and demography. This line of inquiry can provide further insight into how NCEs interactively contribute to the dynamics of terrestrial prey populations; particularly, how predation risk-sensitive foraging has the potential to stabilize predator–prey coexistence.
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
Purpose: This retrospective cross-sectional study aimed to identify opportunities for improvement in food and nutrition research by examining risk of bias (ROB) domains. Methods: Rating were extracted from critical appraisal records for 5675 studies used in systematic reviews conducted by three organizations. Variables were as follows: ROB domains defined by the Cochrane Collaboration (Selection, Performance, Detection, Attrition, and Reporting), publication year, research type (intervention or observation) and specific design, funder, and overall quality rating (positive, neutral, or negative). Appraisal instrument questions were mapped to ROB domains. The kappa statistic was used to determine consistency when multiple ROB ratings were available. Binary logistic regression and multinomial logistic regression were used to predict overall quality and ROB domains. Findings: Studies represented a wide variety of research topics (clinical nutrition, food safety, dietary patterns, and dietary supplements) among 15 different research designs with a balance of intervention (49%) and observation (51%) types, published between 1930 and 2015 (64% between 2000-2009). Duplicate ratings (10%) were consistent (k=0.86-0.94). Selection and Performance domain criteria were least likely to be met (57.9% to 60.1%). Selection, Detection, and Performance ROB ratings predicted neutral or negative quality compared to positive quality (p<0.001). Funder, year, and research design were significant predictors of ROB. Some sources of funding predicted increased ROB (p<0.001) for Selection (Interventional: industry only and none/not reported; Observational: other only and none/not reported) and Reporting (Observational: university only and other only). Reduced ROB was predicted by combined and other-only funding for intervention research (p<0.005). Performance ROB domain ratings started significantly improving in 2000; others improved after 1990 (p<0.001). Research designs with higher ROB were nonrandomized intervention and time series designs compared to RCT and prospective cohort designs respectively (p<0.001). Conclusions: Opportunities for improvement in food and nutrition research are in the Selection, Performance, and Detection ROB domains.
The nutritional condition of moose co-varies with climate, but not with density, predation risk, or diet composition
<p>A fundamental question about the ecology of herbivore populations pertains to the relative influence of biotic and abiotic processes on nutritional condition. Nutritional condition is influenced in important, yet poorly understood, ways by plant secondary metabolites (PSMs) which can adversely affect a herbivore's physiology and energetics. Here we assess the relative influence of various abiotic (weather) and biotic (intraspecific competition, predation risk and diet composition) factors on indicators of nutritional condition and the energetic costs of detoxifying PSMs for the moose population in Isle Royale National Park (U.S.A.). Specifically, we observed interannual variation in the ratio of urea nitrogen to creatinine (UN:C), an indicator of nutritional restriction, over 29 years and the ratio of glucuronic acid to creatinine (GA:C), an indicator of energetic investment, in detoxifying PSMs over 19-years. Both UN:C and GA:C were measured in samples of urine-soaked snow. Most importantly, climatic factors explained 66% of the interannual variation in UN:C, with moose being more nutritionally stressed during winters with deep snow and during winters that followed warm summers. None of the biotic factors (density, predation, diet composition) were useful predictors of UN:C or GA:C. The absence of a relationship between diet composition and either UN:C or GA:C suggests that the nutritional ecology of wild herbivores is probably complicated by fine-scale variation in protein content and concentrations of PSMs amongst plants of the same species. UN:C increased with GA:C at both the individual and population-level. That result is consistent with detoxification being energetically costly, such that it impairs nutritional condition and also highlight show spatio-temporal variation in the intake and detoxification of PSMs may influence population dynamics. Lastly, because we observed interannual variation in nutritional condition over three decades and detoxification over two decades these findings are relevant to concerns about how herbivore populations respond to climate change.</p>
Feeding the Patient at Nutritional Risk: Does the Clinical Outcome Improve?
ClinicalTrials.gov study NCT00440453. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Infant Nutrition and Risk of Celiac Disease
ClinicalTrials.gov study NCT00819819. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Study on Nutrition and Cardiovascular Risk in Spain.
ClinicalTrials.gov study NCT01133093. IPD Sharing: UNDECIDED. Countries: 1. Publications: 16.
Nutrition Support on Outcomes and Cost-effectiveness for Patients at Risk
ClinicalTrials.gov study NCT00289380. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nutritional Risk Factors for Hip Fracture: a Case Control Study
ClinicalTrials.gov study NCT01738776. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Efficacy of Preoperative Nutritional Support on Postoperative Outcome in Gastric Cancer Patients at Nutritional Risk by NRS-2002
ClinicalTrials.gov study NCT01830907. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Effectiveness of Nutritional Practical Counseling for Elderly Patients at Risk of Malnutrition on Nutritional Status at Home
ClinicalTrials.gov study NCT02796521. IPD Sharing: NO. Countries: 1. Publications: 6.
Efficacy of Nutritional Supplementation on Physical-activity Mediated Changes in Physical Functioning Older Adults at Risk for Mobility Disability (The VIVE2 Study)
ClinicalTrials.gov study NCT01542892. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Medical Nutrition Therapy Plus Transgestational Metformin For Preventing Gestational Diabetes In High Risk Mexican Women
ClinicalTrials.gov study NCT01675310. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Growth, Risks of Allergy and Metabolic Syndrome in 6 Year Old Children Born Preterm Compared to Postdischarge Nutrition
ClinicalTrials.gov study NCT02078687. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Adults Nutrition as a Protective or Health-risk Factor
ClinicalTrials.gov study NCT03284840. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Supermarket and Web-Based Intervention Targeting Nutrition (SuperWIN) for Cardiovascular Risk Reduction
ClinicalTrials.gov study NCT03895580. IPD Sharing: NO. Countries: 1. Publications: 1.
NUTRIPROTECT-Children Nutrition as a Protective or Health-risk Factor
ClinicalTrials.gov study NCT04076592. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Effects of Oral Nutritional Supplementation in Children at Risk of Undernutrition
ClinicalTrials.gov study NCT05239208. IPD Sharing: NO. Countries: 1. Publications: 1.
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International Brain Laboratory public data
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OpenNeuro
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