2,652 research outputs found
sj-docx-1-nah-10.1177_02601060211032886 - Supplemental material for Examining correlates of feeding practices among parents of preschoolers
No full textSupplemental material, sj-docx-1-nah-10.1177_02601060211032886 for Examining correlates of feeding practices among parents of preschoolers by Deepa Srivastava, Lucy R. Zheng and Dipti A. Dev in Nutrition and Health</p
Systematic investigation of trench filling with photo materials
No full textAuthor Amal Dev Raj VilayilMasterarbeit Universität Linz 2022Arbeit auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba
Head Start and child care providers' feeding practices: a potential avenue for obesity prevention in young children
Get PDFThe Academy of Nutrition and Dietetics released a position statement in 2012 regarding benchmarks for nutrition in child care to establish healthful eating behaviors in early childhood and prevent obesity in young children. Further, recent publications by the Institute of Medicine and national organizations have recommended specific feeding practices for child care providers to be implemented at the state-level to prevent early childhood obesity in preschool children. Although over 12 million US children in child care consuming up to 5 meals and snacks per day in such settings, little is known about child care providers’ feeding practices.
The purpose of this dissertation was to examine provider’s feeding practices in Head Start and child care programs with the following aims 1) To assess whether providers met the Academy’s benchmarks and if attainment of benchmarks varied across child care contexts (Head Start [HS], Child and Adult Care Food Program [CACFP] and non-CACFP). 2) To identify determinants of child care providers’ healthful and controlling feeding practices for 2-5y-old children. 3) To identify Head Start and child care provider’s motivators, barriers and facilitators for using family style meal service (FSMS) during child care mealtimes.
Cross-sectional data was collected in 2011 and 2012 where 118 child care providers from 24 center-based programs (6 Head Start [HS], 11 Child and Adult Care Food Program [CACFP] funded, 7 non-CACFP) completed self-administered surveys regarding their feeding practices for 2-5-year-old children. Chi-square tests and Analysis of variance were used to determine variation in meeting benchmarks across contexts. Multi-level multivariate linear regression models were used to predict seven feeding practices- healthful (allowing children to control their food intake, role modeling healthy eating and teaching children about nutrition) and controlling (pressuring children to eat and restricting access to food for health or weight control). For aim 3, qualitative semi-structured interviews were conducted with a subset of providers based on maximum variation purposive sampling. The interviews were lead until saturation was reached and the data was coded using thematic analysis by NVivo qualitative software.
It was found that HS providers had greater compliance with the Academy’s benchmarks compared to CACFP and non-CACFP providers. HS providers sat more frequently with children during meals (P=0.01), ate the same foods as children (P=0.001) and served meals family-style (P<0.0001) more often, compared to CACFP and non-CACFP providers. HS providers (P=0.002), parents (P=0.001) and children (P=0.01) received more nutrition education opportunities compared to CACFP and non-CACFP. HS providers encouraged more balance and variety of foods (P<0.05), offered healthier foods (P<0.05), modeled healthy eating (P<0.001), and taught children about nutrition (P<0.001) compared to CACFP and non-CACFP providers. Providers across all three contexts used significantly more non-internal than internal mealtime verbal comments (P<0.0001).
Regarding predictors of provider’s feeding practices; working in a HS center predicted teaching children about nutrition and modeling healthy eating; that may be attributed to the HS performance standards which require HS providers to practice healthful feeding. Providers who reported being concerned about children’s weight, responsible for feeding children and had an authoritarian feeding style were more likely to pressure children to eat, restrict intake, and control food intake to decrease or maintain children’s weight. Providers with non-White race, who were trying to lose weight, perceived nutrition as important in their own diet, and had greater number of nutrition training opportunities were more likely to use restrictive feeding practices. Findings suggest that individual and child care level factors, particularly provider race, education, training, feeding attitudes and styles and the child care context may influence providers’ feeding practices with young children.
A qualitative investigation of the motivators, barriers and facilitators for using family style meal service (FSMS) from the perspective of 18 child care providers revealed that HS and CACFP providers were motivated to use FSMS because it created pleasant mealtimes, opportunities to role model healthy eating, and healthful child development. CACFP and non-CACFP providers reported not using FSMS because it was resource intensive, messy, unhygienic, and seemed to violate CACFP policy. HS and CACFP providers recommended strategies to overcome these barriers. They suggested that FSMS becomes easier with practice and teaching children self-help skills during play time can avoid messes during mealtimes.
Possible reasons for an increased compliance of HS providers to the Academy’s benchmarks may be attributed to HS federal performance standards for child nutrition and increased nutrition training opportunities for HS staff. HS programs can serve as a model in implementing the Academy’s benchmarks. Considering the predictors of providers feeding practices identified by this study when developing interventions, may add to the efficacy of childhood obesity prevention programs. The present research offers new insights not only regarding providers’ barriers to FSMS, but also strategies from providers to help overcome these barriers and allow for effective implementation of FSMS in child care settings. Providers should be encouraged to adopt FSMS, because the long-term health consequences and learning opportunities of FSMS outweigh any barriers related to its practical implementation. By strengthening policies and training that are more aligned with the Academy’s benchmarks, child care providers can be in a unique position to prevent childhood obesity by instilling positive eating behaviors related to self-regulation of the preschool-aged children in their care.Item withdrawn by Laura Spradlin ([email protected]) on 2013-11-25T23:14:56Z
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Corrigendum to Programmed cell death in the lithium pilocarpine model: Evidence for NMDA receptor and ceramide-mediated mechanisms [Brain Dev 30 (2008) 513-519] (DOI:10.1016-j.braindev.2008.01.002)
No full text[No abstract available]Mikati MA, 2008, BRAIN DEV-JPN, V30, P513, DOI 10.1016-j.braindev.2008.01.0020
open-AIMS/ADRIA.jl: v0.7.0-dev.1
No full textWhat's Changed
Update use of functions due to new import approach by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/334
Migrate from SnoopPrecompile to PrecompileTools by @timholy in https://github.com/open-AIMS/ADRIA.jl/pull/335
Add planning horizon factor by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/336
Replace use of area attribute/field with call to function site_area() to ensure correct values by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/337
Remove reference to defunct fields when making factors constant by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/338
Make use of planning horizon in sims by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/340
Changes to support running ADRIA with external model (ReefMod Engine) data by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/341
CompatHelper: add new compat entry for SimpleWeightedGraphs at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/343
CompatHelper: add new compat entry for OrderedCollections at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/344
CompatHelper: bump compat for StatsBase to 0.34, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/345
Split ADRIA-mod domain definition by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/346
Add GBR zones by priority by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/347
Exit with error if given path is not a directory by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/350
Make Aviz into an extension package by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/349
CompatHelper: add new compat entry for Reexport at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/351
CompatHelper: add new compat entry for ImageMagick at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/352
Update bleaching mortality model to align with published paper by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/354
Add option to use JMcDM functions in ADRIA site selection by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/348
Address mismatched number of elements under certain conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/358
Remove Copras method due to erroring by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/359
CompatHelper: bump compat for HypothesisTests to 0.11, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/363
CompatHelper: add new compat entry for JMcDM at version 0.7, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/362
Update documentation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/361
Scenario discovery docs by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/364
Fix: Metric errors when applied to a single simulation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/365
Address ranking errors in mcda outputs by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/367
Add temporal clustering by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/370
Fix incorrect type check by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/371
CompatHelper: add new compat entry for Clustering at version 0.15, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/372
CompatHelper: bump compat for Zarr to 0.9, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/373
Update time series clustering and add visualization functionality by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/374
Update scenario viz by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/355
Refactor run_scenarios to improve when running multiple rcps by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/376
Bump version number and add new author by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/378
Update docstrings for growth function by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/375
Add map visualization - displays k-area by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/356
Consider near-term conditions with greater weight than far-future conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/387
Changes to number of species in ADRIA by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/380
Temporal clustering for spatial data by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/382
New Contributors
@timholy made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/335
@Zapiano made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/370
Full Changelog: https://github.com/open-AIMS/ADRIA.jl/compare/v0.5.0...v0.7.0-dev.
Participation in the CACFP Ensures Availability but not Intake of Nutritious Foods at Lunch in Preschool Children in Child-Care Centers
Get PDFBackground — The US Department of Agriculture Child and Adult Care Food program (CACFP) recently (October 2017) updated requirements for meal reimbursement and best practice recommendations for serving nutritious meals and beverages, and minimum age-specific serving sizes for five food groups. It is not known whether CACFPfunded child-care centers are meeting the updated meal pattern requirements and best practice recommendations, and whether children are meeting nutrition recommendations based on the current 2015-2020 Dietary Guidelines for Americans (DGA). Objective This study assessed whether the recruited CACFP-funded child-care centers in this study were meeting the updated (2017) CACFP requirements regarding foods served for lunch and whether children attending these child-care centers were meeting ageand sex-specific DGA recommendations regarding foods consumed.
Design — This was a cross-sectional study using the Dietary Observation for Child Care method.
Participants and settings — Children aged 3 to 5 years (n 108) from 10 classrooms in three CACFP-funded child-care centers in Lincoln, NE, were recruited by convenience sampling during spring 2018.
Measurable outcomes — Food served and consumed during observed lunches in comparison with updated CACFP requirements and DGA, respectively.
Statistical analysis — Adjusted mean amounts of foods served from each food group were compared with age specific minimum CACFP serving size requirements. Adjusted mean amounts of foods consumed from each food group were then compared with ageand sex-specific DGA recommendations.
Results — The recruited child-care centers were meeting the updated CACFP requirements regarding foods served but showed limited adherence to the best practice recommendations during the observed lunches. However, the overall mean intake for grains, fruits, and vegetables was significantly lower (P\u3c0.01) than DGA recommendations. In addition, approximately 25% of the children did not consume any vegetables during their meal.
Conclusions — Although child-care centers were meeting the updated CACFP requirements by serving the recommended amounts of foods, children were not meeting DGA-recommended intakes. Future studies are needed to explore ways to improve adherence to best practice recommendations to improve children’s consumption of healthy foods in child-care centers
The Cryosphere Discussions
No full textwww.geosci-model-dev-discuss.net/6/3003/2013/ doi:10.5194/gmdd-6-3003-2013 © Author(s) 2013. CC Attribution 3.0 License
System Safety in Healthcare: The Right and Wrong Ways to Perform Failure Mode and Effects Analysis (FMEA)
No full textThe objective of performing Failure Mode and Effects Analysis (FMEA) is to use sound risk management principles, coupled with innovative solutions that can assure high return on investment (ROI). Quality Guru Philip Crosby wrote in his book, Quality is Free, that quality is free if you do the right things at the right time. Essentially, the savings from avoiding fixes, process changes and lawsuits are much higher than the cost of doing things right. The principles of sound risk management, experienced by this paper’s co-author Dev Raheja as an international engineering management consultant over 30 years, include:
Identifying risks
Assessing risks
Mitigating risks
Orchestrating risk management
Aiming at high ROI without compromising safet
A role for SUMO modification in transcriptional repression and activation
Get PDFSince the discovery of the SUMO (small ubiquitin-related modifier) family of proteins just over a decade ago, a plethora of substrates have been uncovered including many regulators of transcription. Conjugation of SUMO to target proteins has generally been considered as a repressive modification. However, there are now a growing number of examples where SUMOylation has been shown to activate transcription. Here, we discuss whether there is something intrinsically repressive about SUMOylation, or if the outcome of this modification in the context of transcription will prove to be largely substrate-dependent. We highlight some of the technical challenges that will be faced by attempting to answer this question
ready4show: Author Literate Programs to Share Insights from Applying the Ready4 Framework
No full textready4show provides tools for authoring technical documentation, analysis reports and scientific summaries to showcase insights generated by open, modular mental health system models.
This release corrects citation information.Matthew Hamilton and Glen Wiesner (2022). ready4show: Author Literate Programs to Share Insights from Applying the Ready4 Framework. Version 0.0.0.9098. Zenodo. https://doi.org/10.5281/zenodo.564456
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