We used smartphone app to prompt brief electronic surveys to assess a sample of mothers' eating behaviors and feelings randomly throughout their daily lives.
Prof Fergus Lowe - InsideGov Conference, London 2013fooddudes
The Behaviour Change Approach to Changing Children's Eating Habits and Physical Activity
Prof. Fergus Lowe, CEO Food Dudes, was the closing keynote speaker at the InsideGov Event - "Working in partnership to reduce childhood obesity"
Local Determinants of Malnutrition: An Expanded Positive Deviance Studyjehill3
Local Determinants of Malnutrition: An Expanded Positive Deviance Study
Julie Hettinger, Food for the Hungry
Nutrition Working Group Showcase
CORE Group Spring Meeting, April 29, 2010
Prof Fergus Lowe - InsideGov Conference, London 2013fooddudes
The Behaviour Change Approach to Changing Children's Eating Habits and Physical Activity
Prof. Fergus Lowe, CEO Food Dudes, was the closing keynote speaker at the InsideGov Event - "Working in partnership to reduce childhood obesity"
Local Determinants of Malnutrition: An Expanded Positive Deviance Studyjehill3
Local Determinants of Malnutrition: An Expanded Positive Deviance Study
Julie Hettinger, Food for the Hungry
Nutrition Working Group Showcase
CORE Group Spring Meeting, April 29, 2010
How does modifying diet such as taking probiotics alter the gut microbiome and influence on health? Dr. Anders Henriksson, principal application specialist shares more here.
Probiotics goes beyond digestive and immune health. At the recent Microbiome R&D and Business Collaboration Congress: Asia, DuPont Nutrition & Health shared on how probiotics can influence vaginal microbiota and provide positive health benefits such as weight management for the user.
Take a look at this professional BSN nursing capstone example to see how it need to look like, if you want to find more samples visit https://www.capstoneproject.net/our-capstone-projects/nursing-capstone-project/
Here you can see nursing capstone project sample made by professional writer, if you want to get professional help for your capstone visit site https://www.capstoneproject.net/our-capstone-projects/nursing-capstone-project/
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels.
Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.
This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era.
This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
This presentation was a webinar update to the Open PHACTS community regarding the release of the OPen PHACTS open source components of the Chemical Registration System and, more specifically, the Chemical validation and Standardization Platform. The need for a community set of rules was driven home with the Chemical validation and Standardization Platform potentially being an example platform for the rules.
Presenter(s): Ruth Baker, Jeffrey Mortimore.
Presenters offered simple strategies for content creation and management that maximize opportunities for repurposing content across delivery platforms while keeping maintenance to a minimum. Strategies for content creation include
naming, description, and chunking-that support repurposing of content for multiple audiences and support contexts. The presentation also covers strategies for dynamically mapping content across platforms that eliminates any need to monitor platform content separately. While this session will focus on LibGuides and LibAnswers, the content creation techniques discussed are applicable to any content management system that supports dynamic content mapping and/or external widget creation.
How does modifying diet such as taking probiotics alter the gut microbiome and influence on health? Dr. Anders Henriksson, principal application specialist shares more here.
Probiotics goes beyond digestive and immune health. At the recent Microbiome R&D and Business Collaboration Congress: Asia, DuPont Nutrition & Health shared on how probiotics can influence vaginal microbiota and provide positive health benefits such as weight management for the user.
Take a look at this professional BSN nursing capstone example to see how it need to look like, if you want to find more samples visit https://www.capstoneproject.net/our-capstone-projects/nursing-capstone-project/
Here you can see nursing capstone project sample made by professional writer, if you want to get professional help for your capstone visit site https://www.capstoneproject.net/our-capstone-projects/nursing-capstone-project/
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels.
Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
New research from New Zealand has found that a diet of plant-based whole foods can shrink your waistline, reverse type 2 diabetes, and lower cholesterol levels. Participants in the study lost an average of 11.5 kilograms after one year – despite being told to eat as much as they wanted.
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.
This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era.
This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
This presentation was a webinar update to the Open PHACTS community regarding the release of the OPen PHACTS open source components of the Chemical Registration System and, more specifically, the Chemical validation and Standardization Platform. The need for a community set of rules was driven home with the Chemical validation and Standardization Platform potentially being an example platform for the rules.
Presenter(s): Ruth Baker, Jeffrey Mortimore.
Presenters offered simple strategies for content creation and management that maximize opportunities for repurposing content across delivery platforms while keeping maintenance to a minimum. Strategies for content creation include
naming, description, and chunking-that support repurposing of content for multiple audiences and support contexts. The presentation also covers strategies for dynamically mapping content across platforms that eliminates any need to monitor platform content separately. While this session will focus on LibGuides and LibAnswers, the content creation techniques discussed are applicable to any content management system that supports dynamic content mapping and/or external widget creation.
Presenter(s): Jeffrey Mortimore.
As federal funding requirements continue to evolve and more publishers are requiring open data sharing as a condition of publication, academic libraries have an important role to play supporting campus researchers’ data management needs. This session explores in detail the National Science Foundation’s current data management requirements, giving special attention to data planning as part of the NSF’s grant application process.
The development of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago and, specifically, on the PHYSPROP dataset used to train the EPISuite prediction models. This presentation will review our approaches to examining key datasets, the delivery of curated data and the development of machine-learning models for thirteen separate property endpoints of interest to environmental science. We will also review how these data will be made freely accessible to the community via a new “chemistry dashboard”. This abstract does not reflect U.S. EPA policy
On Friday September 16th I was honored with the award for the North Carolina American Chemical Society Distinguished Speaker Award and got to review the past 20 years of my career. This was my short intro bio
"Antony Williams is a Ph.D. NMR spectroscopist and cheminformatician who has worked in academia, government, a Fortune 500 company, and two start-ups. He is co-founder of the free online chemical database ChemSpider, originally started as a hobby project and ultimately acquired by the Royal Society of Chemistry (in the UK) and now used by over 50,000 users per day. He is now a computational chemist at the Environmental Protection Agency in the National Center for Computational Toxicology and is focused on developing web applications to support data dissemination and progress efforts in allowing for faster and cheaper approaches to identify potential toxicological effects of chemicals. He has published >180 papers, >25 book chapters and a number of books. He is known as the ChemConnector on social networks. "
From Data Availability to Information Accessibility: The WellWiki ProjectJoel Gehman
This slides accompanied a talk I gave on January 27, 2016, at Startup Edmonton's "Lunchalytics" speaker series. The event was held in the Mercer Warehouse, 10359 104 Street Northwest, Edmonton, Alberta, Canada.
The construction of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago. Specific examples of quality issues for the EPISuite data include multiple records for the same chemical structure with different measured property values, inconsistency between the structure, chemical name and CAS registry number for single records, the inability to convert the SMILES strings into chemical structures, hypervalency in the chemical structures and the absence of stereochemistry for thousands of data records. Relative to the era of EPISuite development, modern cheminformatics tools allow for more advanced capabilities in terms of chemical structure representation and storage, as well as enabling automated data validation and standardization approaches to examine data quality. This presentation will review both our manual and automated approaches to examining key datasets related to the EPISuite training and test data. This includes approaches to validate between chemical structure representations (e.g. molfile and SMILES) and identifiers (chemical names and registry numbers), as well as approaches to standardize the data into QSAR-consumable formats for modeling. We have quantified and segregated the data into various quality categories to allow us to thoroughly investigate the resulting models that can be developed from these data slices and to examine to what extent efforts into the development of large high-quality datasets have the expected pay-off in terms of prediction performance. This abstract does not reflect U.S. EPA policy.
SMS Berlin 2016 Cultural Perspectives on Strategic ManagementJoel Gehman
Strategic Management Society 2016 Conference
Berlin, Germany
Sunday, September 18
Session 253 - Cultural Perspectives on Strategic Management
Track J
Session Chair
Joel Gehman, University of Alberta
Krsto Pandza, University of Leeds
Session Panelists
Shahzad Ansari, University of Cambridge
Rodolphe Durand, HEC-Paris
Candace Jones, University of Edinburgh Business School
Michael Lounsbury, University of Alberta
Richard Whittington, University of Oxford
This session aims to spark conversations between scholars at the intersection of strategic management and organization theory. In particular, we hope the event will generate awareness of, stimulate interest in, and set direction for research at the SM-OT interface. Especially, the panelists will address potential connections between perennial strategy topics such as resources, capabilities, innovation, competition, governance, nonmarket strategy and strategy process and practice and topics of central interest to organization theory such as institutional logics, organizational forms, legitimacy, creativity, framing and categories. Panellist will identify the most promising questions that could benefit from integrating strategy and organizational theory concepts as well as discussing possible challenges of such a theoretical bricolage.
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.
The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. We will also discuss progress towards a high-throughput non-targeted analysis platform for use by the mass spectrometry community. This abstract does not reflect U.S. EPA policy.
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new publicly-accessible CompTox Dashboard as the first application built on our newly developed architecture. This abstract does not reflect U.S. EPA policy.
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. We have delivered public access to terabytes of open data, as well to a large number of publicly accessible databases and applications, to support the research efforts for a large community of scientists. Many of our contributions to science are summarily described in research papers but to date we have not optimized our contributions to inform altmetrics statistics associated with our work. Critically missing from altmetrics is access to our numerous software applications and web service accesses, as well as the growing importance of our experimental data and models (e.g ToxCast, ExpoCast, DSSTox and others) to the scientific and regulatory communities. This presentation will provide an overview of our efforts to more fully understand, and quantify, our impact on the environmental sciences using a combination of our measurement approaches and available altmetrics tools. This abstract does not reflect U.S. EPA policy.
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.
The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. In order to examine its performance for structure identification, especially in terms of rank-ordering database hits, we have compared it with the ChemSpider database, a well-regarded public database that has become one of the community standards for structure identification. The study has shown that the CompTox Dashboard outperforms ChemSpider in terms of structure identification and ranking providing improved outcomes for mass spectrometry analysis of “known unknowns”.
The iCSS CompTox Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy.
As part of our efforts to develop a public platform to provide access to predictive models we have attempted to disentangle the influence of the quality versus quantity of data available to develop and validate QSAR models. Using a thorough manual review of the data underlying the well-known EPI Suite software, we developed automated processes for the validation of the data using a KNIME workflow. This includes: approaches to validate different chemical structure representations (e.g. molfile and SMILES), identifiers (chemical names and registry numbers), and methods to standardize the data into QSAR-consumable formats for modeling. Our efforts to quantify and segregate data into various quality categories has allowed us to thoroughly investigate the resulting models developed from these data slices, as well as allowing us to examine whether or not efforts into the development of large high-quality datasets has the expected pay-off in terms of prediction performance. Machine-learning approaches have been applied to create a series of models that have been used to generate predicted physicochemical and environmental parameters for over 700,000 chemicals. These data are available online via the EPA’s iCSS Chemistry Dashboard. This abstract does not reflect U.S. EPA policy.
Presenter(s): Jeffrey Mortimore, Jessica Garner, Jermaine Bryant, Jessica Williams.
Interlibrary Loan (ILL) requests reveal a lot about our collections, from development needs to access issues. This session focuses on how ILL and Technical Services personnel at Georgia Southern University are using ILL request information to troubleshoot and improve electronic resource access across our collections.
Despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our careers. We are already being indexed and exposed on the internet via our publications, presentations and data and new “AltMetric scores” are being assigned to scientific publications as measures of popularity and, supposedly, of impact. We now have even more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation provides an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. It will discuss the new world of AltMetrics that is in an explosive growth curve and will help you understand how to influence and leverage some of these new measures. Participating online, whether it be simply for career advancement or for wider exposure of your research, there are now a series of web applications that can provide a great opportunity to develop a scientific profile within the community.
Correlations between positive affect & fruit/veg intakeiowafoodandfitness
Luther College Students prepared the following community assessments as part of their Psychology of Health and Illness class in the Fall Semester 2008.
Diet intake trends among pregnant women in rural area of rawalpindi, pakistanZubia Qureshi
Background: Adequate and healthy diet during pregnancy is essential for the health of both mother and new-born. This study was designed to know the health status of pregnant women and new-born by determining food taking habits of pregnant women. Methods: A cross sectional study was conducted on pregnant women of 2nd and 3rd trimester in a rural area of district Rawalpindi. Food frequency questionnaire and 24 hours dietary recall methods were used to identify their food consumption practices. Analysis was done by SPSS, while Nutrisurvey software was used to check the presence of Vitamin A, C, and Iron in specific fruits or vegetables. Results: A total of 110 pregnant women participated in the study. Most of them were illiterate, had low household income, and unemployed. Intake of meal frequency was according to the standards of Institute of Medicine (IOM), but food group consumption was not according to the recommendations of the United State Department of Agriculture (USDA). Most participants 102 (93.2%) knew that food is important during pregnancy. However an increase in frequency intake was observed in 63 (57.3%); while, 19 (17.3%) reported no change in food intake practices. About 67 (61%) were taking some sort of dietary supplements. Avoidance of any food 24 (22%), intake of additional food 51 (46%), craving 86 (78%), and aversion to any sort of food 42 (38%) was also identified in the study sample. No significant association was found between food group consumption, food availability and accessibility. Dietary diversity score, calculated according to the Food and Agriculture Organization (FAO) guidelines, indicated that about half study participants were not consuming adequate food. Conclusion: Study results show that food intake practices of pregnant women in the study area were not satisfactory. The results suggest that pregnant women need nutrition counselling regarding food intake practices during pregnancy.
Keywords: food intake practices, diet consumption, pregnant women
Obesity is quickly becoming one of the most common chronic.docxhopeaustin33688
Obesity is quickly becoming one of the most common chronic diseases among children. These rates have increased at an alarming rate and is a major public health problem because of related physical and psychological comorbidities, including type II diabetes, insulin resistance, metabolic syndrome, cardiovascular disease and mental health disorders. Dramatic increase in the number of overweight and obese children in recent years.
Studies indicate that children's lives may be shortened as a result of this alarming health problem. Estimates state that for any degree of overweight/obesity, younger adults (20-30 years of age) may have greater years of life lost due to obesity than older adults. Childhood obesity has been determined to be an independent risk factor for adult overweight/obesity.
To combat childhood obesity, there is a great need for public health interventions as well as education parents regarding childhood obesity and its consequences. Parents differ on causation of obesity, and differ in focus on nutrition and physical exercise. Many parents in the research do not see obesity as a barrier to physical activity. The parents need to recognize their child as overweight. Prevention is the most effective method for dealing with this growing health concern. The evidence reviewed, confirmed that family-centered interventions were associated with short-term reduction in obesity and improved medical parameters. The goal should be to involve community resources and provider referrals. Nurse Practitioners have a unique role in being the best facilitators to deliver health messages and are able to educate parents and increase awareness about the causes and consequences of childhood obesity.
Parents of young children need to interact with their child's primary healthcare provider for health advice and preventive health information during regularly scheduled physical examinations. It is up to the parents of these young children to combat intervention strategies such as:
a combination of nutritional and activity information, a cognitive-behavioral aspect to the intervention parent-directed activities
limiting sedentary child behaviors, provide positive approaches with children by parents and practitioners (e.g., emphasize positive rewards for healthy behaviors, encourage self-efficacy)
Future research is required to identify moderators and mediators to produce enduring changes in weight status of children.
The Objective was to determine in children who are at risk for becoming overweight or obese, does education with parental involvement on exercise and nutrition compared to individual education with the child alone decrease the risk of developing obesity and the health problems associated with obesity?
(P) In overweight, obese, or at risk young children (2-18years of age) Is family centered education/treatment interventions
(C) versus control or comparison interventions
(O) more effective in decreasing childhood obesity and compli.
Presentation given at Academy of Nutrition and Dietetics’ 2013 Food &Nutrition Conference & Expo™ (FNCE), where Mark Kern, PhD, RD, CSSD, and Neva Cochran, MS, RDN, LD, walk through ways that you can evaluate peer-reviewed scientific research and transform current nutrition messaging into empowering messages for your clients.
David Wiss MS RDN walks you through research on childhood adversity and the various ways that trauma can become embedded into physiology and impact health, such as eating behavior.
1
Epidemiology and Health
Epidemiology and Health
Volume: 36, Article ID: e2014009, 8 pages
http://dx.doi.org/10.4178/epih/e2014009
REVIEW Open Access
Dietary assessment methods in epidemiologic studies
Jee-Seon Shim1, Kyungwon Oh2, Hyeon Chang Kim1,3
1Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul; 2Division of Health and
Nutrition Survey, Korea Centers for Disease Control and Prevention, Osong; 3Department of Preventive Medicine, Yonsei University College of
Medicine, Seoul, Korea
Diet is a major lifestyle-related risk factor of various chronic diseases. Dietary intake can be assessed by sub-
jective report and objective observation. Subjective assessment is possible using open-ended surveys such as
dietary recalls or records, or using closed-ended surveys including food frequency questionnaires. Each meth-
od has inherent strengths and limitations. Continued efforts to improve the accuracy of dietary intake assess-
ment and enhance its feasibility in epidemiological studies have been made. This article reviews common di-
etary assessment methods and their feasibility in epidemiological studies.
KEY WORDS: Dietary assessment, Food frequency questionnaire, 24-hour dietary recall, Dietary record
INTRODUCTION
Diet is a major lifestyle-related risk factor of a wide range of
chronic diseases. Changes in dietary habits have been found to
reduce cancer incidence by one-third [1]. Dietary information
has been useful in cardiovascular disease risk prediction [2] and
consuming a nutrient-dense diet was associated with a low risk
of all-cause mortality [3]. Contrary to other lifestyle risk factors
(e.g., smoking), dietary exposures are very difficult to measure
because all individuals eat foods, even if the amount and the
kind of food consumed is various between subjects, and people
rarely perceive what they eat and how much they do [4]. Inac-
curate dietary assessment may be a serious obstacle of under-
standing the impact of dietary factors on disease.
Specific biochemical markers have been used as a surrogate
to measure the dietary intake of selected nutrients or dietary
components in epidemiological studies [5-7]. Previous studies
have found these markers to be highly correlated with dietary
intake levels, free of a social desirability bias, independent of
memory, and not based on subjects’ ability to describe the type
and quantity of food consumed [8]. Thus, these biochemical
markers may provide more accurate measures than dietary in-
take estimates do. However, a number of biomarkers have been
known to provide integrated measures reflecting their absorp-
tion and metabolism after consumption, and they are also af-
fected by disease or homeostatic regulation, thus their values
cannot be translated into the subject’s absolute dietary intake
[9]. Moreover, the results based on biomarkers cannot provide
dietary recommendations to modify a subject’s .
Using Mobile Glucose Monitoring as Biological Feedback on Daily Eating BehaviorsYue Liao
This study explored the feasibility of using continuous glucose monitoring among non-diabetes individuals to provide personalized and actionable eating-related feedback. It was presented at the 2017 Society of Behavioral Medicine Annual Meeting at San Diego, California.
Outcome Expectancy Mediates the Relationship between Affective Response to Ph...Yue Liao
This study analyzed data from ecological momentary assessment (EMA) and accelerometer to explore social cognitive constructs as mediators of affective response to physical activity and subsequent physical activity levels. It was presented at the 2017 Society of Behavioral Medicine Annual Meeting in San Diego, California.
Using a Smartphone Application to Capture Sedentary Behavior and Multitasking...Yue Liao
Ecological Momentary Assessment (EMA) via smartphone app could be used as a self-report tool to assess multiple sedentary behaviors among adolescents in their daily lives.
Analyzing data from Ecological Momentary Assessment (EMA) via mobile phones, we found that higher outcome expectancy in the morning as associated with more physical activity that day.
Are dog owners more active when they are with their dogs? What do people do when with their dogs in their daily lives? When with their dogs, do people's feelings differ between active vs. sedentary behaviors? To find these answers, dive in! This study used a novel methodology to examine dog owners behaviors and feeling states in real-time, real life. This study is published in the American Journal of Health Promotion (http://journals.sagepub.com/doi/abs/10.1177/0890117116666947).
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
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Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists
Using Ecological Momentary Assessment to Examine Post-food Consumption Affect in Moms
1. Yue Liao, MPH, PhD1
Susan M. Schembre, PhD, RD1
Genevieve F. Dunton, PhD, MPH2
1University ofTexas MD Anderson Cancer Center
2University of Southern California Keck School of Medicine
3. EatingBehaviorsandSocialContext
Previous studies
suggested social
context could influence
eating behaviors
However, it is unclear
whether social context
might also influence
post-eating affective
states
Patel & Schlundt, 2001; Hetherington et al., 2006
5. AimsofCurrentStudy
To examine affective states after food consumption
in a sample of mothers’ everyday lives using EMA
method
To explore whether post-food consumption
affective states differed by social context
To explore any differences in these associations by
weight status
6. Mothers’andTheirChildren’sHealth
(MATCH)Study
MATCH is a longitudinal observational dyadic study
in a sample of mother-child pairs
7-day free-living monitoring period for each of 6 waves
The current study only used mothers’ EMA data
from wave 1 assessment
7. EMADesign
EMA survey was delivered
via a custom Andriod app
• 4 times per day on
weekdays between 3 –
9:30 pm
• 8 times per day on
weekend days between 7
am – 9:30 pm
• Random-interval schedule
8. EMAQuestions
Each EMA survey asked a series
of questions, which included
• Current affective state
• Happy
• Stressed
• Eating behavior over the
past 2 hours
• Chips/Fries
• Pastries/Sweets
• Fast Food
• Fruits orVegetables
• Social context for each
selected eating behavior
9. Methods
Selection of chips/fries,
pastries/sweets, or fast
food was recoded as
junk food consumption
Fruits or vegetable
consumption excludes
any junk food selection
EMA entries that
indicated both junk food
and fruits or vegetable
were excluded
10. SocialContext
For each food category,
social context was coded
as either being
• Alone
• With child
• With people other than
child
11. StatisticalAnalysis
Multilevel linear regression model to control for
clustering within individuals
Outcome: Current affective state
Predictor: Food consumption in the past 2 hours
Within-person (WP) effect: one’s consumption relative to her usual
frequency
Between-person (BP) effect: one’s usual frequency relative to other
mom’s in the sample
Subset analysis for EMA prompts that indicated food
consumption
Outcome: Current affective state
Predictor: Social context while eating
All models tested weight status as a moderator and
controlled for age, ethnicity, day of the week, and time
of the day
12. ParticipantDescriptive
A total of 179 mothers were in the sample
Mean age = 41.3 (SD = 6.11)
47.0% Hispanic
66.3% overweight/obese
On average, moms reported junk food consumption in
the past 2 hours 9.5% of the EMA prompts
When eating junk food, 25.7% were alone, 47.9% were with
child
Fruits or vegetables consumption was reported 16.7% of
all EMA prompts
When eating fruits or vegetables, 18.8% were alone, 63.0%
were with child
18. Conclusions
Post-food consumption affective state differed by
weight status
More frequent junk food consumption was associated
with higher stress for overweight moms
FV consumption was associated with subsequent lower
stress for lean moms
Social context could influence post-eating affective
experience
Feeling happier after eating FV
with family/friends vs. alone
19. Limitations
The current EMA protocol was not designed to
capture all eating events
Did not measure all food types
Did not measure portion size
Current affective states might be influenced by
more recently occurred events
Might not capture some other affective states that
may relate to food consumption (e.g., guilty,
energetic)
Did not examine mood change
20. Implications
Demonstrates the use of
EMA via smartphones to
capture eating behaviors,
contextual information,
and subsequent affective
experience
A better understanding of
post-food consumption
affect might help explain
individuals’ future
decision making about
food consumption
21. Acknowledgments
MATCH Study is funded
by National Heart Lung
Blood Institute Grant R01
HL119255 (Dunton, PI)
Technical team is led by
Dr. Steven Intille at
Northeastern University
Editor's Notes
So what do we know about eating behaviors and affective experience? [CLICK]
Well, existing literature have suggested that food consumption could have a direct impact on subsequent affective state. [CLICK]
For example, studies have found an increase in feeling of joy after consumption of apples [CLICK]
and a decrease in feeling of energy after consumption of sugary snacks. [CLICK]
Previous studies have also suggested that social context could influence individual’s eating behaviors [CLICK]
For example, meals eaten with other people were significantly larger than meals eaten alone. [CLICK]
However, it is unclear whether social context might also influence post eating affective states. [CLICK]
Energy intake was significantly enhanced by presence of familiar others.
Real-time capture methods such as Ecological Momentary Assessment could be useful to capture eating behaviors in individuals’ everyday lives.
EMA is a real-time self-report method to measure behaviors and experiences repeatedly as they occur in people’s daily lives. [CLICK]
In addition to capture daily behaviors such as eating, EMA can also assess contextual information about a behavior, such as with whom, where at, and so on.
8 – 12 year children
Randomly within one hour in each 2-hour window
Stress mean = 0.53 (Not at all, A little)
Happy mean = 1.73 (Quite a bit)
Stress x Happy (correlation = -0.42, p<.001)
Of all the F&V consumption, 23.78% reported junk food consumption,
Of all the junk food consumption, 31.26% reported F&V consumption.
Happy mood state was not associated with junk food consumption in the past 2 hours
Compared to lean moms, overweight moms who reported more frequent junk food consumption than other moms had a higher stress level after junk food consumption in the past 2 hours (BP x weight; β=1.035, p=.017)
A happier mood state was associated with FV consumption in the past 2 hours (WP; β=.07, p<.01), as well as with more frequent FV consumption than the average level in the sample (BP; β=.62, p=.03).
Compared to overweight moms, a lower stress level was associated with fruits or vegetable (FV) consumption in the past 2 hours among lean moms (WP x weight; β=-.057, p=.047)
Social context was not associated with happy nor stress after junk food consumption
Social context was not associated with stress after fruits or vegetable consumption
Compared to eating fruits or vegetables alone, being with child, or being with others when eating fruits or vegetables in the past 2 hours was associated with a happier mood state (WS; β=.166, p=.015.; β=.230, p<.007; respectively)
Weight status was not a significant moderator
also could be measuring affect while eating instead of affect after eating