Emergency preparedness for those who care for infants in developed country contexts

Emergency management organisations recognise the vulnerability of infants in emergencies, even in developed countries. However, thus far, those who care for infants have not been provided with detailed information on what emergency preparedness entails. Emergency management authorities should provide those who care for infants with accurate and detailed information on the supplies necessary to care for them in an emergency, distinguishing between the needs of breastfed infants and the needs of formula fed infants. Those who care for formula fed infants should be provided with detailed information on the supplies necessary for an emergency preparedness kit and with information on how to prepare formula feeds in an emergency. An emergency preparedness kit for exclusively breastfed infants should include 100 nappies and 200 nappy wipes. The contents of an emergency preparedness for formula fed infants will vary depending upon whether ready-to-use liquid infant formula or powdered infant formula is used. If ready-to-use liquid infant formula is used, an emergency kit should include: 56 serves of ready-to-use liquid infant formula, 84 L water, storage container, metal knife, small bowl, 56 feeding bottles and teats/cups, 56 zip-lock plastic bags, 220 paper towels, detergent, 120 antiseptic wipes, 100 nappies and 200 nappy wipes. If powdered infant formula is used, an emergency preparedness kit should include: two 900 g tins powdered infant formula, 170 L drinking water, storage container, large cooking pot with lid, kettle, gas stove, box of matches/lighter, 14 kg liquid petroleum gas, measuring container, metal knife, metal tongs, feeding cup, 300 large sheets paper towel, detergent, 100 nappies and 200 nappy wipes. Great care with regards hygiene should be taken in the preparation of formula feeds. Child protection organisations should ensure that foster carers responsible for infants have the resources necessary to formula feed in the event of an emergency. Exclusive and continued breastfeeding should be promoted as an emergency preparedness activity by emergency management organisations as well as health authorities. The greater the proportion of infants exclusively breastfed when an emergency occurs, the more resilient the community, and the easier it will be to provide effective aid to the caregivers of formula fed infants

Toddler milk advertising in Australia: the infant formula ads we have when we don’t have infant formula ads

The Marketing in Australia of Infant Formula: Manufacturers’ and Importers’ Agreement (MAIF) prevents manufacturers and importers from advertising infant formula. However, toddler milks, which share brand identities with infant formula, are advertised freely; and recent research suggests consumers fail to distinguish between advertising for infant formula and for toddler milk. This study examined whether Australian parents recalled having seen advertisements for ‘formula’. Most respondents (66.8%) reported seeing an advertisement for infant formula, with those who had only seen non-retail advertising more than twice as likely to believe that they had seen such an advertisement as those who had only seen retail advertising. This suggests that toddler milk advertisements are functioning as defacto infant formula advertisements in Australia. Thus the MAIF is failing to achieve its stated purpose

Adaptive awareness for personal and small group decision making.

Many situations call for the use of sensors monitoring physiological and environmental data. In order to use the large amounts of sensor data to affect decision making, we are coupling heterogeneous sensors with small, light-weight processors, other powerful computers, wireless communications, and embedded intelligent software. The result is an adaptive awareness and warning tool, which provides both situation awareness and personal awareness to individuals and teams. Central to this tool is a sensor-independent architecture, which combines both software agents and a reusable core software framework that manages the available hardware resources and provides services to the agents. Agents can recognize cues from the data, warn humans about situations, and act as decision-making aids. Within the agents, self-organizing maps (SOMs) are used to process physiological data in order to provide personal awareness. We have employed a novel clustering algorithm to train the SOM to discern individual body states and activities. This awareness tool has broad applicability to emergency teams, military squads, military medics, individual exercise and fitness monitoring, health monitoring for sick and elderly persons, and environmental monitoring in public places. This report discusses our hardware decisions, software framework, and a pilot awareness tool, which has been developed at Sandia National Laboratories

Executive summary: heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a critical resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best available national data on heart disease, stroke, and other cardiovascular disease-related morbidity and mortality and the risks, quality of care, use of medical procedures and operations, and costs associated with the management of these diseases in a single document. Indeed, since 1999, the Statistical Update has been cited >10 500 times in the literature, based on citations of all annual versions. In 2012 alone, the various Statistical Updates were cited ≈3500 times (data from Google Scholar). In recent years, the Statistical Update has undergone some major changes with the addition of new chapters and major updates across multiple areas, as well as increasing the number of ways to access and use the information assembled. For this year's edition, the Statistics Committee, which produces the document for the AHA, updated all of the current chapters with the most recent nationally representative data and inclusion of relevant articles from the literature over the past year. This year's edition includes a new chapter on peripheral artery disease, as well as new data on the monitoring and benefits of cardiovascular health in the population, with additional new focus on evidence-based approaches to changing behaviors, implementation strategies, and implications of the AHA's 2020 Impact Goals. Below are a few highlights from this year's Update. © 2013 American Heart Association, Inc

Executive summary: heart disease and stroke statistics--2013 update: a report from the American Heart Association.

Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update*The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best national data available on heart disease, stroke, and other cardiovascular disease-related morbidity and mortality and the risks, quality of care, medical procedures and operations, and costs associated with the management of these diseases in a single document*Indeed, since 1999, the Statistical Update has been cited \u3e10 500 times in the literature, based on citations of all annual versions*In 2011 alone, the various Statistical Updates were cited ≈1500 times (data from ISI Web of Science)*In recent years, the Statistical Update has undergone some major changes with the addition of new chapters and major updates across multiple areas, as well as increasing the number of ways to access and use the information assembled*For this year\u27s edition, the Statistics Committee, which produces the document for the AHA, updated all of the current chapters with the most recent nationally representative data and inclusion of relevant articles from the literature over the past year*This year\u27s edition also implements a new chapter organization to reflect the spectrum of cardiovascular health behaviors and health factors and risks, as well as subsequent complicating conditions, disease states, and outcomes*Also, the 2013 Statistical Update contains new data on the monitoring and benefits of cardiovascular health in the population, with additional new focus on evidence-based approaches to changing behaviors, implementation strategies, and implications of the AHA\u27s 2020 Impact Goals*Below are a few highlights from this year\u27s Update . © 2013 American Heart Association, Inc

Multidimensional Signals and Analytic Flexibility: Estimating Degrees of Freedom in Human-Speech Analyses

Recent empirical studies have highlighted the large degree of analytic flexibility in data analysis that can lead to substantially different conclusions based on the same data set. Thus, researchers have expressed their concerns that these researcher degrees of freedom might facilitate bias and can lead to claims that do not stand the test of time. Even greater flexibility is to be expected in fields in which the primary data lend themselves to a variety of possible operationalizations. The multidimensional, temporally extended nature of speech constitutes an ideal testing ground for assessing the variability in analytic approaches, which derives not only from aspects of statistical modeling but also from decisions regarding the quantification of the measured behavior. In this study, we gave the same speech-production data set to 46 teams of researchers and asked them to answer the same research question, resulting in substantial variability in reported effect sizes and their interpretation. Using Bayesian meta-analytic tools, we further found little to no evidence that the observed variability can be explained by analysts’ prior beliefs, expertise, or the perceived quality of their analyses. In light of this idiosyncratic variability, we recommend that researchers more transparently share details of their analysis, strengthen the link between theoretical construct and quantitative system, and calibrate their (un)certainty in their conclusions

Smart sensor technology for joint test assembly flights.

The world relies on sensors to perform a variety of tasks from the mundane to sophisticated. Currently, processors associated with these sensors are sufficient only to handle rudimentary logic tasks. Though multiple sensors are often present in such devices, there is insufficient processing power for situational understanding. Until recently, no processors that met the electrical power constraints for embedded systems were powerful enough to perform sophisticated computations. Sandia performs many expensive tests using sensor arrays. Improving the efficacy, reliability and information content resulting from these sensor arrays is of critical importance. With the advent of powerful commodity processors for embedded use, a new opportunity to do just that has presented itself. This report describes work completed under Laboratory-Directed Research and Development (LDRD) Project 26514, Task 1. The goal of the project was to demonstrate the feasibility of using embedded processors to increase the amount of useable information derived from sensor arrays while improving the believability of the data. The focus was on a system of importance to Sandia: Joint Test Assemblies for ICBM warheads. Topics discussed include: (1) two electromechanical systems to provide data, (2) sensors used to monitor those systems, (3) the processors that provide decision-making capability and data manipulation, (4) the use of artificial intelligence and other decision-making software, and (5) a computer model for the training of artificial intelligence software

The SHED-IT community trial study protocol: a randomised controlled trial of weight loss programs for overweight and obese men

<p>Abstract</p> <p>Background</p> <p>Obesity is a major cause of preventable death in Australia with prevalence increasing at an alarming rate. Of particular concern is that approximately 68% of men are overweight/obese, yet are notoriously difficult to engage in weight loss programs, despite being more susceptible than women to adverse weight-related outcomes. There is a need to develop and evaluate obesity treatment programs that target and appeal to men. The primary aim of this study is to evaluate the efficacy of two relatively low intensity weight loss programs developed specifically for men.</p> <p>Methods and Design</p> <p>The study design is an assessor blinded, parallel-group randomised controlled trial that recruited 159 overweight and obese men in Newcastle, Australia. Inclusion criteria included: BMI 25-40 (kg/m²); no participation in other weight loss programs during the study; pass a health-screening questionnaire and pre-exercise risk assessment; available for assessment sessions; access to a computer with e-mail and Internet facilities; and own a mobile phone. Men were recruited to the SHED-IT (Self-Help, Exercise and Diet using Internet Technology) study via the media and emails sent to male dominated workplaces. Men were stratified by BMI category (overweight, obese class I, obese class II) and randomised to one of three groups: (1) SHED-IT <it>Resources </it>- provision of materials (DVD, handbooks, pedometer, tape measure) with embedded behaviour change strategies to support weight loss; (2) SHED-IT <it>Online </it>- same materials as SHED-IT <it>Resources </it>plus access to and instruction on how to use the study website; (3) Wait-list Control. The intervention programs are three months long with outcome measures taken by assessors blinded to group allocation at baseline, and 3- and 6-months post baseline. Outcome measures include: weight (primary outcome), % body fat, waist circumference, blood pressure, resting heart rate, objectively measured physical activity, self-reported dietary intake, sedentary behaviour, physical activity and dietary cognitions, sleepiness, quality of life, and perceived sexual health. Generalised linear mixed models will be used to assess all outcomes for the impact of group (<it>Resources</it>, <it>Online</it>, and <it>Control</it>), time (treated as categorical with levels baseline, 3-months and 6-months) and the group-by-time interaction. These three terms will form the base model. 'Intention-to-treat' analysis will include all randomised participants.</p> <p>Discussion</p> <p>Our study will compare evidence-based and theoretically driven, low cost and easily disseminated strategies specifically targeting weight loss in men. The SHED-IT community trial will provide evidence to inform development and dissemination of sustainable strategies to reduce obesity in men.</p> <p>Trial Registration</p> <p>Australian New Zealand Clinical Trials Registry (ACTRN12610000699066)</p