9 research outputs found

    Kids Count Alaska 2013-2014

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    This research was funded by the Annie E. Casey Foundation. We thank the foundation for its support, but the findings and conclusions in this report are those of the authors and not necessarily of the foundation. KIDS COUNT is a nationwide program of the Annie E. Casey Foundation. The foundation produces a national data book each year, detailing the condition of America’s children. It also sponsors KIDS COUNT programs in all 50 states. Feel free to copy, distribute, or otherwise use information from the Kids Count Alaska Data Book, citing the source as: Kids Count Alaska 2013-2014 Data Book, prepared by the Institute of Social and Economic Research, University of Alaska Anchorage, with funding from the Annie E. Casey Foundation.Kids Count Alaska is part of a nationwide program, sponsored by the Annie E. Casey Foundation, to collect and publicize information about children’s health, safety, education, and economic status. We gather information from many sources and present it in one place, to give Alaskans and others a broad picture of how well the state’s children are doing—and provide parents, policymakers, and others with information they need to improve life for children and families. Our goals are: • Distributing information about the status of Alaska’s children • Creating an informed public, motivated to help children • Comparing the status of children in Alaska with that of children nationwide, but also presenting additional indicators relevant for AlaskaAnnie E. Casey FoundationIntroduction / Infancy / Births and Care Before Birth / Babies With Low Birthweight / Infant Mortality / Economic Well-Being / Children Living in Poverty / Children With No Parent Working Full-Time, Year-Round / Children in Single-Parent Families / Births to Teens / Health Care / Education / Dropout and Graduation Rates / Teens Not in School and Not Working / School Achievement / Children in Danger / Child Death Rate / Teen Death Rate / Child Abuse and Neglect / Juvenile Justic

    Bodyweight Perceptions among Texas Women: The Effects of Religion, Race/Ethnicity, and Citizenship Status

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    Despite previous work exploring linkages between religious participation and health, little research has looked at the role of religion in affecting bodyweight perceptions. Using the theoretical model developed by Levin et al. (Sociol Q 36(1):157–173, 1995) on the multidimensionality of religious participation, we develop several hypotheses and test them by using data from the 2004 Survey of Texas Adults. We estimate multinomial logistic regression models to determine the relative risk of women perceiving themselves as overweight. Results indicate that religious attendance lowers risk of women perceiving themselves as very overweight. Citizenship status was an important factor for Latinas, with noncitizens being less likely to see themselves as overweight. We also test interaction effects between religion and race. Religious attendance and prayer have a moderating effect among Latina non-citizens so that among these women, attendance and prayer intensify perceptions of feeling less overweight when compared to their white counterparts. Among African American women, the effect of increased church attendance leads to perceptions of being overweight. Prayer is also a correlate of overweight perceptions but only among African American women. We close with a discussion that highlights key implications from our findings, note study limitations, and several promising avenues for future research

    A multi-center prospective study of plant-based nutritional support in adult community-based patients at risk of disease-related malnutrition

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    IntroductionThere is an emerging need for plant-based, vegan options for patients requiring nutritional support.MethodsTwenty-four adults at risk of malnutrition (age: 59 years (SD 18); Sex: 18 female, 6 male; BMI: 19.0 kg/m2 (SD 3.3); multiple diagnoses) requiring plant-based nutritional support participated in a multi-center, prospective study of a (vegan suitable) multi-nutrient, ready-to-drink, oral nutritional supplement (ONS) [1.5 kcal/mL; 300 kcal, 12 g protein/200 mL bottle, mean prescription 275 mL/day (SD 115)] alongside dietary advice for 28 days. Compliance, anthropometry, malnutrition risk, dietary intake, appetite, acceptability, gastrointestinal (GI) tolerance, nutritional goal(s), and safety were assessed.ResultsPatients required a plant-based ONS due to personal preference/variety (33%), religious/cultural reasons (28%), veganism/reduce animal-derived consumption (17%), environmental/sustainability reasons (17%), and health reasons (5%). Compliance was 94% (SD 16). High risk of malnutrition (‘MUST’ score ≥ 2) reduced from 20 to 16 patients (p = 0.046). Body weight (+0.6 kg (SD 1.2), p = 0.02), BMI (+0.2 kg/m2 (SD 0.5), p = 0.03), total mean energy (+387 kcal/day (SD 416), p < 0.0001) and protein intake (+14 g/day (SD 39), p = 0.03), and the number of micronutrients meeting the UK reference nutrient intake (RNI) (7 vs. 14, p = 0.008) significantly increased. Appetite (Simplified Nutritional Appetite Questionnaire (SNAQ) score; p = 0.13) was maintained. Most GI symptoms were stable throughout the study (p > 0.06) with no serious adverse events related.DiscussionThis study highlights that plant-based nutrition support using a vegan-suitable plant-based ONS is highly complied with, improving the nutritional outcomes of patients at risk of malnutrition

    Recommendations for uniform terminology in animal-assisted services (AAS)

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    Abstract Through the years, the range of services involving animals benefiting people, often described as “animal-assisted interventions” (AAIs), has been plagued with confusing and inconsistent taxonomy, terminology, and definitions. This has caused difficulties for the delineation of roles of service providers, for the recipients of services, as well as for the preparation, training, and expectations of the animals that work in different roles. It can be argued that these difficulties have compromised the development of the field in terms of establishing agreed standards of practice, qualifications, and competencies and adopting good animal welfare practices. It has also likely limited the base of evidence, as search terms used to access studies are not consistent, and study protocols are difficult to compare, lacking uniformity in terminology. Additionally, the current terminology cannot accommodate the expansion and diversification of programs in recent years, which is likely to continue as the field evolves. Establishing internationally agreed upon uniform taxonomy, terminology, and definitions is crucial to more accurately reflect the key features of different approaches, to define the scope and competencies for different service providers and their animals, to provide transparency about services for recipients, and to ensure the appropriate preparation, training, and support of the animals that work with them. The recommendations in this article are the result of an international work group that convened over the course of two years. The umbrella term animal-assisted services (AAS) is proposed, defined as services that are facilitated, guided or mediated by a health or human service provider or educator, who works with and maintains the welfare of a specially alongside a specially qualifying animal to provide therapeutic, educational, supportive and/or ameliorative processes aimed at enhancing the well-being of humans. AAS are further categorized into three main areas: treatment, education, and support programs. A recommendation for provider-specific terminology is also suggested. The aim of these proposals is to set clear expectations and boundaries for each specialty of practice, without compromising the richness and diversity of each approach. The adoption of this new umbrella term and its categories is intended to improve clarity for all involved in the receipt and delivery of services, as well as for those who study their effects

    Profiling the European Citizen in the Internet of Things: How Will the General Data Protection Regulation Apply to this Form of Personal Data Processing, and How Should It?

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