Matching Items (250)
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Background: Low physical activity (PA) and fruit and vegetable (F&V) consumption in early childhood are continued public health challenges. This manuscript describes outcomes from two pilot studies for Sustainability via Active Garden Education (SAGE), a program designed to increase PA and F&V consumption among 3 to 5 year old children.

Methods: SAGE was

Background: Low physical activity (PA) and fruit and vegetable (F&V) consumption in early childhood are continued public health challenges. This manuscript describes outcomes from two pilot studies for Sustainability via Active Garden Education (SAGE), a program designed to increase PA and F&V consumption among 3 to 5 year old children.

Methods: SAGE was developed using community-based participatory research (CBPR) and delivered to children (N = 89) in early care and education centers (ECEC, N = 6) in two US cities. Children participated in 12 one-hour sessions that included songs, games, and interactive learning activities involving garden maintenance and taste tests. We evaluated reach, efficacy, adoption, implementation, and potential for maintenance of SAGE following the RE-AIM framework. Reach was evaluated by comparing demographic characteristics among SAGE participants and residents of target geographic areas. Efficacy was evaluated with accelerometer-measured PA, F&V consumption, and eating in the absence of hunger among children, parenting practices regarding PA, and home availability of F&V. Adoption was evaluated by the number of ECEC that participated relative to the number of ECEC that were recruited. Implementation was evaluated by completion rates of planned SAGE lessons and activities, and potential for maintenance was evaluated with a parent satisfaction survey.

Results: SAGE reached ECEC in neighborhoods representing a wide range of socioeconomic status, with participants’ sociodemographic characteristics representing those of the intervention areas. Children significantly increased PA during SAGE lessons compared to usual lessons, but they also consumed more calories in the absence of hunger in post- vs. pre-intervention tests (both p < .05). Parent reports did not suggest changes in F&V consumption, parenting PA practices, or home F&V availability, possibly due to low parent engagement. ECEC had moderate-to-high implementation of SAGE lessons and curriculum. Potential for maintenance was strong, with parents rating SAGE favorably and reporting increases in knowledge about PA and nutrition guidelines for young children.

Conclusions: SAGE successfully translated national PA guidelines to practice for young children but was less successful with nutrition guidelines. High adoption and implementation and favorable parent reports suggest high potential for program sustainability. Further work to engage parents and families of young children in ECEC-based PA and nutrition programming is needed.

Created2017-03-10
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Description

Maternal obesity is associated with significantly lower rates of breastfeeding initiation, duration and exclusivity. Increasing rates of obesity among reproductive-age women has prompted the need to carefully examine factors contributing to lower breastfeeding rates in this population. Recent research has demonstrated a significant impact of breastfeeding to reduce the risk

Maternal obesity is associated with significantly lower rates of breastfeeding initiation, duration and exclusivity. Increasing rates of obesity among reproductive-age women has prompted the need to carefully examine factors contributing to lower breastfeeding rates in this population. Recent research has demonstrated a significant impact of breastfeeding to reduce the risk of obesity in both mothers and their children. This article presents a review of research literature from three databases covering the years 1995 to 2014 using the search terms of breastfeeding and maternal obesity. We reviewed the existing research on contributing factors to lower breastfeeding rates among obese women, and our findings can guide the development of promising avenues to increase breastfeeding among a vulnerable population. The key findings concerned factors impacting initiation and early breastfeeding, factors impacting later breastfeeding and exclusivity, interventions to increase breastfeeding in obese women, and clinical considerations. The factors impacting early breastfeeding include mechanical factors and delayed onset of lactogenesis II and we have critically analyzed the potential contributors to these factors. The factors impacting later breastfeeding and exclusivity include hormonal imbalances, psychosocial factors, and mammary hypoplasia. Several recent interventions have sought to increase breastfeeding duration in obese women with varying levels of success and we have presented the strengths and weaknesses of these clinical trials. Clinical considerations include specific techniques that have been found to improve breastfeeding incidence and duration in obese women. Many obese women do not obtain the health benefits of exclusive breastfeeding and their children are more likely to also be overweight or obese if they are not breastfed. Further research is needed into the physiological basis for decreased breastfeeding among obese women along with effective interventions supported by rigorous clinical research to advance the care of obese reproductive age women and their children.

Created2015-07-01
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Description

Previous studies have shown that parental protectiveness is associated with increased pain and disability in Functional Abdominal Pain Disorder (FAPD) but the role that perceived child self-efficacy may play remains unclear. One reason why parents may react protectively towards their child’s pain is that they perceive their child to be

Previous studies have shown that parental protectiveness is associated with increased pain and disability in Functional Abdominal Pain Disorder (FAPD) but the role that perceived child self-efficacy may play remains unclear. One reason why parents may react protectively towards their child’s pain is that they perceive their child to be unable to cope or function normally while in pain (perceived low self-efficacy). This study sought to examine (a) the association between parent-perceived child pain self-efficacy and child health outcomes (symptom severity and disability); and (b) the role of parental protectiveness as a mediator of this association. Participants were 316 parents of children aged 7–12 years with FAPD. Parents completed measures of perceived child self-efficacy when in pain, their own protective responses to their child’s pain, child gastrointestinal (GI) symptom severity, and child functional disability. Parent-perceived child self-efficacy was inversely associated with parent-reported child GI symptom severity and disability, and parental protectiveness mediated these associations. These results suggest that parents who perceive their child to have low self-efficacy to cope with pain respond more protectively when they believe he/she is in pain, and this, in turn, is associated with higher levels of GI symptoms and disability in their child. This finding suggests that directly addressing parent beliefs about their child’s ability to manage pain should be included as a component of FAPD, and potentially other child treatment interventions.

Created2016-09-19
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Description

Objectives: To determine the off-shift sleep strategies of bi-ethnic night-shift nurses, the relationship between these sleep strategies and adaptation to shift work, and identify the participant-level characteristics associated with a given sleep strategy.

Methods: African-American and non-Hispanic White female, night-shift nurses from an academic hospital were recruited to complete a survey

Objectives: To determine the off-shift sleep strategies of bi-ethnic night-shift nurses, the relationship between these sleep strategies and adaptation to shift work, and identify the participant-level characteristics associated with a given sleep strategy.

Methods: African-American and non-Hispanic White female, night-shift nurses from an academic hospital were recruited to complete a survey on sleep–wake patterns (n = 213). Participants completed the standard shiftwork index and the biological clocks questionnaire to determine sleep strategies and adaptation to night-shift work. In addition, chronotype was determined quantitatively with a modified version of the Munich ChronoType Questionnaire. Most participants worked ~3 consecutive 12-h night-shifts followed by several days off.

Results: Five sleep strategies used on days off were identified: (a) night stay, (b) nap proxy, (c) switch sleeper, (d) no sleep, and (e) incomplete switcher. Nap proxy and no sleep types were associated with poorer adaptation to night-shift work. The switch sleeper and incomplete switcher types were identified as more adaptive strategies that were associated with less sleep disturbance, a later chronotype, and less cardiovascular problems.

Conclusion: Behavioral sleep strategies are related to adaptation to a typical night-shift schedule among hospital nurses. Nurses are crucial to the safety and well-being of their patients. Therefore, adoption of more adaptive sleep strategies may reduce sleep/wake dysregulation in this population, and improve cardiovascular outcomes.

Created2014-12-19
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Description

Limited research has compared the circadian phase-shifting effects of bright light and exercise and additive effects of these stimuli. The aim of this study was to compare the phase-delaying effects of late night bright light, late night exercise, and late evening bright light followed by early morning exercise. In a

Limited research has compared the circadian phase-shifting effects of bright light and exercise and additive effects of these stimuli. The aim of this study was to compare the phase-delaying effects of late night bright light, late night exercise, and late evening bright light followed by early morning exercise. In a within-subjects, counterbalanced design, 6 young adults completed each of three 2.5-day protocols. Participants followed a 3-h ultra-short sleep-wake cycle, involving wakefulness in dim light for 2h, followed by attempted sleep in darkness for 1 h, repeated throughout each protocol. On night 2 of each protocol, participants received either (1) bright light alone (5,000 lux) from 2210–2340 h, (2) treadmill exercise alone from 2210–2340 h, or (3) bright light (2210–2340 h) followed by exercise from 0410–0540 h. Urine was collected every 90 min. Shifts in the 6-sulphatoxymelatonin (aMT6s) cosine acrophase from baseline to post-treatment were compared between treatments. Analyses revealed a significant additive phase-delaying effect of bright light + exercise (80.8 ± 11.6 [SD] min) compared with exercise alone (47.3 ± 21.6 min), and a similar phase delay following bright light alone (56.6 ± 15.2 min) and exercise alone administered for the same duration and at the same time of night. Thus, the data suggest that late night bright light followed by early morning exercise can have an additive circadian phase-shifting effect.

Created2016-02-26
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Description

Resource-poor social environments predict poor health, but the mechanisms and processes linking the social environment to psychological health and well-being remain unclear. This study explored psychosocial mediators of the association between the social environment and mental health in African American adults. African American men and women (n = 1467) completed

Resource-poor social environments predict poor health, but the mechanisms and processes linking the social environment to psychological health and well-being remain unclear. This study explored psychosocial mediators of the association between the social environment and mental health in African American adults. African American men and women (n = 1467) completed questionnaires on the social environment, psychosocial factors (stress, depressive symptoms, and racial discrimination), and mental health. Multiple-mediator models were used to assess direct and indirect effects of the social environment on mental health. Low social status in the community (p < .001) and U.S. (p < .001) and low social support (p < .001) were associated with poor mental health. Psychosocial factors significantly jointly mediated the relationship between the social environment and mental health in multiple-mediator models. Low social status and social support were associated with greater perceived stress, depressive symptoms, and perceived racial discrimination, which were associated with poor mental health. Results suggest the relationship between the social environment and mental health is mediated by psychosocial factors and revealed potential mechanisms through which social status and social support influence the mental health of African American men and women. Findings from this study provide insight into the differential effects of stress, depression and discrimination on mental health. Ecological approaches that aim to improve the social environment and psychosocial mediators may enhance health-related quality of life and reduce health disparities in African Americans.

Created2016-04-27
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Description
Breastfeeding has been shown to dramatically improve health outcomes for both infants and mothers. Despite recommendations by almost all world and national health organizations to breastfeed exclusively for 6 months and to continue breastfeeding for one year, this goal is not met by the majority of women in the United

Breastfeeding has been shown to dramatically improve health outcomes for both infants and mothers. Despite recommendations by almost all world and national health organizations to breastfeed exclusively for 6 months and to continue breastfeeding for one year, this goal is not met by the majority of women in the United States for multiple reasons. Health professionals, including physicians and nurses, can play a major role in educating and influencing mothers about breastfeeding, especially for women with comorbidities, taking medications, or undergoing medical procedures. An online survey was created to evaluate healthcare professionals' breastfeeding knowledge and opinions at a large hospital in Phoenix, Arizona using QuestionPro software. This survey was distributed for three weeks to the nursing and physician departments at the hospital in primarily the obstetric and post partum units. Of the seventy-nine individuals who completed the survey, the respondents were primarily female obstetric nurses. Respondents recognized the benefits of breastfeeding for both mother and infant, believed health professionals can influence the decision to breastfeed, and found a lack of support was the number one reason women discontinue breastfeeding. Despite this information, it is apparent from this survey, and similar studies in the past, that there are significant gaps in knowledge especially when it comes to contraindications to breastfeeding, medications used while breastfeeding, fluid intake during breastfeeding, and foods that can be consumed while breastfeeding. Additionally, the majority of the nurses who completed this survey did not believe their schooling adequately trained them in breastfeeding education and hands-on practice. This information could be used in future studies to guide breastfeeding education for nurses, physicians, and other health care professionals at the stated hospital and other facilities across the nation.
ContributorsConstenius, Lindsey Bowes (Author) / Bever, Jennie (Thesis director) / Kelly, Lesly (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The Experimental Data Processing (EDP) software is a C++ GUI-based application to streamline the process of creating a model for structural systems based on experimental data. EDP is designed to process raw data, filter the data for noise and outliers, create a fitted model to describe that data, complete a

The Experimental Data Processing (EDP) software is a C++ GUI-based application to streamline the process of creating a model for structural systems based on experimental data. EDP is designed to process raw data, filter the data for noise and outliers, create a fitted model to describe that data, complete a probabilistic analysis to describe the variation between replicates of the experimental process, and analyze reliability of a structural system based on that model. In order to help design the EDP software to perform the full analysis, the probabilistic and regression modeling aspects of this analysis have been explored. The focus has been on creating and analyzing probabilistic models for the data, adding multivariate and nonparametric fits to raw data, and developing computational techniques that allow for these methods to be properly implemented within EDP. For creating a probabilistic model of replicate data, the normal, lognormal, gamma, Weibull, and generalized exponential distributions have been explored. Goodness-of-fit tests, including the chi-squared, Anderson-Darling, and Kolmogorov-Smirnoff tests, have been used in order to analyze the effectiveness of any of these probabilistic models in describing the variation of parameters between replicates of an experimental test. An example using Young's modulus data for a Kevlar-49 Swath stress-strain test was used in order to demonstrate how this analysis is performed within EDP. In order to implement the distributions, numerical solutions for the gamma, beta, and hypergeometric functions were implemented, along with an arbitrary precision library to store numbers that exceed the maximum size of double-precision floating point digits. To create a multivariate fit, the multilinear solution was created as the simplest solution to the multivariate regression problem. This solution was then extended to solve nonlinear problems that can be linearized into multiple separable terms. These problems were solved analytically with the closed-form solution for the multilinear regression, and then by using a QR decomposition to solve numerically while avoiding numerical instabilities associated with matrix inversion. For nonparametric regression, or smoothing, the loess method was developed as a robust technique for filtering noise while maintaining the general structure of the data points. The loess solution was created by addressing concerns associated with simpler smoothing methods, including the running mean, running line, and kernel smoothing techniques, and combining the ability of each of these methods to resolve those issues. The loess smoothing method involves weighting each point in a partition of the data set, and then adding either a line or a polynomial fit within that partition. Both linear and quadratic methods were applied to a carbon fiber compression test, showing that the quadratic model was more accurate but the linear model had a shape that was more effective for analyzing the experimental data. Finally, the EDP program itself was explored to consider its current functionalities for processing data, as described by shear tests on carbon fiber data, and the future functionalities to be developed. The probabilistic and raw data processing capabilities were demonstrated within EDP, and the multivariate and loess analysis was demonstrated using R. As the functionality and relevant considerations for these methods have been developed, the immediate goal is to finish implementing and integrating these additional features into a version of EDP that performs a full streamlined structural analysis on experimental data.
ContributorsMarkov, Elan Richard (Author) / Rajan, Subramaniam (Thesis director) / Khaled, Bilal (Committee member) / Chemical Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Ira A. Fulton School of Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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DescriptionThe goal of this study is to explore the relationship between breastfeeding, postpartum depression and postpartum weight at 1 and 6 months.
ContributorsFlowers, Jenna (Author) / Reifsnider, Elizabeth (Thesis director) / Bever, Jennie (Committee member) / Moramarco, Michael (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description
The purpose of the study was to determine the level and type of public policy involvement among registered nurses (RN) who are members of the Arizona Nurses Association (AzNA). Furthermore, the aim of the study was to identify the knowledge base and motivation of nurses and their involvement in public

The purpose of the study was to determine the level and type of public policy involvement among registered nurses (RN) who are members of the Arizona Nurses Association (AzNA). Furthermore, the aim of the study was to identify the knowledge base and motivation of nurses and their involvement in public policy as well as the barriers and benefits. A 20- item survey was sent to all of the members of AzNA. There were 39 responses used in the analysis. The highest reported public policy activities in which the nurses had participated were: voted (90%), contacted a public official (51%), and gave money to a campaign or for a public policy concern (46%). Lack of time was the most frequently reported barrier to involvement and improving the health of the public was the most frequently reported benefit to involvement. The number of public policy education/information sources and the highest level of education positively correlate to the nurses' total number of public policy activities (r = .627 p <0.05; r = .504, p <0.05). Based on the results of stepwise linear regression analysis, the participants' age, number of education/information sources, and efficacy expectation predict 68.8% of involvement in public policy activities. The greater the number of education/information sources, the greater the number of public policy activities nurses report having participated in.
ContributorsHartman, Mykaila Corrine (Author) / Stevens, Carol (Thesis director) / Munoz, Aliria (Committee member) / Link, Denise (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12