Matching Items (37)
Filtering by
- Creators: Barrett, The Honors College
Description
This paper analyzes existing literature regarding how excessive aggravating stimuli in a hospital environment can reduce the quality and quantity of sleep. The sick and injured are most sensitive to aggravating stimuli and the most vulnerable to poor sleep conditions. For individuals with anxiety, stress, hypersensitivity, or conditions such as Autism Spectrum Disorder (ASD), as additional stress during rest periods could seriously harm development and overall well-being. While solutions have been proposed and tested, there is no one solution to the problem. One possible solution is to design a device that monitors a patient's room and alerts a nurse or parent of aggravating stimuli so that it can be removed.
ContributorsKhan, Zarah Noor (Author) / Goryll, Michael (Thesis director) / Adams, James B. (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A study was undertaken to examine and test the effectiveness of a self-experimentation model, guided by a mobile app called PACO, in helping college students improve behaviors associated with sleep. Thirteen participants were enrolled in this study and their nightly sleep quality and sleep duration were measured via PACO as they underwent three conditions: a baseline non-intervention phase, an expert-developed intervention phase, in which pre-made intervention examples were provided and used in PACO, and a self-experimentation phase, during which users were invited to develop their own sleep-behavior interventions using PACO. The participants were randomly placed into three groups, and the points of transition between phases was staggered across five weeks according to a multiple baseline design. The goal and hypothesis was to determine if sleep duration and sleep quality (sleep satisfaction) were improved in the final self-experimentation phase compared to the expert-developed experimentation phase and baseline phase, as well as in the expert-developed experimentation phase compared to the baseline phase. The results show little change, and nearly no improvement in the outcome measures between phases, leaving us unable to support the hypothesis. However, the existence of several limitations considered in retrospect, such as the small sample size, the short study time period, and technical difficulties with the PACO application means that no concrete conclusions should be made regarding the effectiveness of the self-experimentation model, nor the usability of PACO. Additional research should be made toward user motivation and modes of teaching the underlying behavioral science principles to casual users to increase effectiveness.
ContributorsNazareno, Alexandra Nicole (Author) / Hekler, Eric (Thesis director) / Walker, Erin (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Circadian misalignments in terms of eat and sleep cycles, common occurrences among college students, are linked to adverse health outcomes. Time-restricted feeding, a form of intermittent fasting, may offer an exciting, non-pharmacologic approach to improve the health of this population by restricting eating to feeding windows that align with circadian biology. This study aims to fill a gap in the literature regarding the effect of early time-restricted feeding (eTRF) on college students, particularly in regard to diet quality, diet self-efficacy, and sleep quality. To test the hypothesis that eTRF would lead to an increase in all three variables, a 4-wk randomized-controlled, parallel arm trial was conducted. Thirty-five healthy college students were randomly assigned to one of two groups: the intervention group (TRF) was instructed to adhere to an 8-h feeding window aligned with the light cycle (9 am to 5 pm), and the control group (CON) was instructed to adhere to a 12-h feeding window typical of college students (10 am to 10pm). The eTRF diet was consumed ad libitum, and the participants were not instructed to avoid compensatory hyperphagia. The results showed a strong, reverse effect of eTRF on diet quality: fasting had a highly significant association with decreased diet quality. The results suggest that, under free-living conditions, college students practicing eTRF are more likely to compensate for prolonged fasting with unhealthy eating and snacking.
ContributorsGonzalez, Valeria Isabel (Author) / Johnston, Carol (Thesis director) / Hundley, Amanda (Committee member) / Edson College of Nursing and Health Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Sufficient sleep in childhood is fundamental to proper development as well as preventing behavioral or emotional complications later in adulthood (Gregory & Sadeh, 2012; Bruni, 2010). Sleep is controlled by a 24-hour cycle of hormonal regulation termed the circadian rhythm, which is controlled by different environmental inputs such as light (Reppert & Weaver, 2002). Previous research has also demonstrated that light exposure at night can delay the night phase production of specific hormones that promote sleep (Zeitzer, Dijk, Kronauer, Brown, & Czeisler, 2004; Chang, Aeschbach, Duffy, & Czeisler, 2015), which in turn delays sleep onset. Such studies involving the effects that light may have on sleep have focused on adult subjects, however, and it is important to explore this idea in childhood to promote proper development. The first aim of this study was to examine the effects of light exposure in the hour before bedtime on different measures of sleep in middle childhood. The second aim was to determine the genetic and environmental contributions to light exposure and sleep. A diverse sample of 490 twin children was assessed at 8 years of age. Twins followed a week long protocol in which they wore actigraph watches that collected data on both light and sleep. Zero-order correlations with subsequent multilevel regression analyses showed that any light exposure in the hour before bedtime was significantly positively associated with sleep onset latency. Twin intraclass correlations indicated no heritability for light exposure, but did indicate some heritability ranging from 7-66% for the sleep indicators. Overall, these findings regarding the impacts of sleep in childhood build upon an area of research that has only been explored in adulthood. These impacts of light on sleep in childhood suggest that possible interventions ought to be explored for implementation to minimize the long-term effects of altered sleeping patterns in childhood.
ContributorsScheel, Sydney Elise (Author) / Lemery-Chalfant, Kathryn (Thesis director) / Clifford, Sierra (Committee member) / School of Molecular Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Introduction: There is currently a lack of industry-wide gold standardization in accelerometer study
protocols, including within sleep-focused studies. This study seeks to address accuracy of
accelerometer data in detection of the beginnings and ends of sleep bouts in young adults with
polysomnography (PSG) corroboration. An existing algorithm used to differentiate valid/invalid wear
time and detect bouts of sleep has been modified with the goal of maximizing accuracy of sleep bout
detection. Methods: Three key decisions and thresholds of the algorithm have been modified with three
experimental values each being tested. The main experimental variable Sleepwindow controls the
amount of time before and after a determined bout of sleep that is searched for additional sedentary
time to incorporate and consider part of the same sleep bout. Results were compared to PSG and sleep
diary data for absolute agreement of sleep bout start time (START), end time (END) and time in bed
(TIB). Adjustments were made for outliers as well as sleep latency, snooze time, and the sum of both.
Results: Only adjustments made to a sleep window variable yielded altered results. Between a 5-, 15-,
and 30-minute window, a 15-minute window incurred the least error and most agreement to
comparisons for START, while a 5-minute window was best for END and TIB. Discussion: Contrary
to expectation, corrections for snooze, latency, and both did not substantially improve agreement to
PSG. Algorithm-derived estimates of START and END always fell after sleep diary and PSG both,
suggesting either participants’ sedentary behavior beginning and ends were at a delay from sleep and
wake times, or the algorithm estimates consistently later times than appropriate. The inclusion of a
sleep window variable yields substantial variety in results. A 15-minute window appears best at
determining START while a 5-minute window appears best for END and TIB. Further investigation on
the optimal window length per demographic and condition is required.
protocols, including within sleep-focused studies. This study seeks to address accuracy of
accelerometer data in detection of the beginnings and ends of sleep bouts in young adults with
polysomnography (PSG) corroboration. An existing algorithm used to differentiate valid/invalid wear
time and detect bouts of sleep has been modified with the goal of maximizing accuracy of sleep bout
detection. Methods: Three key decisions and thresholds of the algorithm have been modified with three
experimental values each being tested. The main experimental variable Sleepwindow controls the
amount of time before and after a determined bout of sleep that is searched for additional sedentary
time to incorporate and consider part of the same sleep bout. Results were compared to PSG and sleep
diary data for absolute agreement of sleep bout start time (START), end time (END) and time in bed
(TIB). Adjustments were made for outliers as well as sleep latency, snooze time, and the sum of both.
Results: Only adjustments made to a sleep window variable yielded altered results. Between a 5-, 15-,
and 30-minute window, a 15-minute window incurred the least error and most agreement to
comparisons for START, while a 5-minute window was best for END and TIB. Discussion: Contrary
to expectation, corrections for snooze, latency, and both did not substantially improve agreement to
PSG. Algorithm-derived estimates of START and END always fell after sleep diary and PSG both,
suggesting either participants’ sedentary behavior beginning and ends were at a delay from sleep and
wake times, or the algorithm estimates consistently later times than appropriate. The inclusion of a
sleep window variable yields substantial variety in results. A 15-minute window appears best at
determining START while a 5-minute window appears best for END and TIB. Further investigation on
the optimal window length per demographic and condition is required.
ContributorsMartin, Logan Rhett (Author) / Buman, Matthew (Thesis director) / Toledo, Meynard John (Committee member) / Kurka, Jonathan (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
Individuals with Down syndrome (DS) display significantly earlier symptoms of Alzheimer's disease (AD) beginning around age 35. Because AD-like symptoms tend to be ever present in those with DS, it is difficult to accurately evaluate those with DS for earlier onset of AD. It has been suggested that physical activity and sleep are potential measures to monitor for manifestations of early AD-like symptoms in people with DS. Our lab has previously shown remarkable improvements in physical activity, cognition, and motor control while using Assisted Cycle Therapy (ACT) for adolescents with DS, Parkinson's disease (PD), and stroke populations. This novel exercise intervention is suggested to mediate improvements in cerebral activation through upregulated neurogenesis, angiogenesis, and neuro-plastic mechanisms. Despite prior research, there remains to be limited studies behind these concepts in adults with DS and sleep, which is suspected to be an accurate metric for AD-like manifestations. Fifteen older adult participants with DS were assigned to one of two cycling interventions: ACT or VC. All participants were provided Fitbit HR devices for sleep and physical activity tracking. Only five adults had viable continuous collection of data for both sleep and physical activity. While none of our results reached conventional levels of significance, there were trends towards significance in the VC group for total steps taken and in the ACT group for sleep-onset latency (SOL). Individual cases of improvement were noted but it globally can be supported that Fitbit devices are not optimistic for adults with DS due to poor long-term compliance. It comes to no surprise to those involved with these groups that cooperativity tends to be low with long term interventions in research design. In spite of this significant barrier, Fitbit devices offer to be a reliable and inexpensive record keeper of physical activity and sleep. Future research should lean to investigate the viability of Fitbit devices within younger populations, the role of heart rate variability on sleep efficiency and sleep onset latency in DS, and utilize more extensive compliance reinforcement to obtain volume of data collection needed to establish significant measurements of physical activity and sleep in populations with DS.
ContributorsDietz, Matthew David (Author) / Ringenbach, Shannon (Thesis director) / Holzapfel, Simon (Committee member) / School of Nutrition and Health Promotion (Contributor) / School of Molecular Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Sleep is an extremely important component of living a healthy life than can impact development and behavior starting in childhood. We expanded on past research regarding this topic to determine the role of childhood sleep and the onset of problem behaviors (externalizing and internalizing behaviors) among a sample of school-aged children. We predicted that lower sleep duration, decreased sleep efficiency, and prolonged sleep latency along with negative sleep habits would be associated with problem behaviors. Our sample was made up of 381 school-aged children (M = 8.49 years old, 49.6% female, 56% Caucasian) who were recruited through the Arizona Twin Study when the children were 12 months old. Mixed-model regressions included sex, socioeconomic status, and zygosity as covariates. Correlations and mixed-model regressions showed a significant relationship between negative sleep habits and problem behaviors (both externalizing and internalizing). Our results revealed that those who experience higher amounts of parent-reported negative sleep habits also demonstrate externalizing behaviors (aggression) and internalizing behaviors (anxiety). The findings in the current study are consistent with past research on this topic and suggest that poor sleep impacts daytime functioning and behavior.
ContributorsLee, Jenna Nicole (Author) / Valiente, Carlos (Thesis director) / Doane, Leah (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Academic success in childhood is crucial for later academic, occupational, and life success (Heckman, 2006; Kuncel, Hezlett, & Ones, 2004; Spengler, Brunner, Damian, Lüdtke, Martin, & Roberts, 2015). Recent research suggests sleep is important for academic success but lacks objective measures of sleep (Buckhalt, El-Sheikh, Keller, & Kelly, 2009; Curcio, Ferrara, & De Gennaro, 2006; Dewald, Meijer, Oort, Kerkhof, & Bögels, 2010; Philbrook, Hinnant, Elmore-Staton, Buckhalt, & El-Sheikh, 2017). The purpose of this study was to examine the relations between sleep and academic success among children through objective measures of sleep in order to expand on the literature. Our sample consisted of 381 twins (50.4% male; 56% Caucasian; 36.5% same sex dizygotic) participating in an 8-year assessment from a longitudinal twin study. Actigraphy was used to assess sleep while various measures were used to assess academic success. A series of mixed model regressions were used to test the main predictions, with family entered as a random effect. Sex, age, Hispanic, SES, and zygosity were controlled for. Significant negative relations were revealed between sleep latency and reading and sleep latency and school liking. Additionally, SES was the most consistent significant positive predictor of our measures of academic success. These results suggest sleep and effects of SES should be considered when developing ways to help children’s school performance.
ContributorsAlvarez, Rachel Marie (Author) / Valiente, Carlos (Thesis director) / Doane, Leah (Committee member) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The objective of the current study was to examine sleep and academic functioning during middle childhood. More specifically, the twin design was used to determine the heritability of academic competence and sleep. Phenotypic analyses using multi-level mixed model regressions were performed to predict academic functioning from sleep. Lastly, socioeconomic status was tested as a moderator in the associations between sleep and academic functioning. Participants included twins (N = 191 families; Mage = 8.47 years) recruited from Arizona birth records at 12 months of age. Sleep duration, latency, onset, efficiency, variability, and sleep problems were assessed using actigraph watches and the Child Sleep Habits Questionnaire. Academic functioning was assessed using subtests of the Woodcock Johnson Cognitive Test of Achievement-IV (picture vocabulary, passage comprehension, and applied problems) and the MacArthur Health and Behavior Questionnaire. As determined by twin intraclass correlations, the heritability of academic competence ranged from 51-76%. Sleep heritability ranged from 14-80%. In addition, phenotypic analyses only showed a significant association between sleep latency and WJ picture vocabulary scores. More specifically, sleep latency was negatively associated with the picture vocabulary subtest. Additional models were run to examine if any interactive effects were present between early SES and the various sleep parameters. Several significant associations were observed with applied problems scores and parent-reported academic competence. Specifically, for children of low SES, a significant positive association was observed for sleep duration and WJ applied problems scores, as well as for sleep efficiency and WJ applied problems scores. No significant associations were observed for sleep efficiency and HBQ scores with children of any SES. Also, no significant relationships were observed with children of high SES for any of the academic measures.
ContributorsVakulskas, Emily (Author) / Doane, Leah (Thesis director) / Lemery-Chalfant, Kathryn (Committee member) / Breitenstein, Reagan (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Osteoporosis is a medical condition that leads to decreased bone mineral density, resulting in increased fracture risk.1 Research regarding the relationship between sleep and bone mass is limited and has primarily been studied in elderly adults. While this population is most affected by osteoporosis, adolescents are the most proactive population in terms of prevention. The purpose of this study was to evaluate the relationship between sleep efficiency and serum osteocalcin in college-aged individuals as a means of osteoporosis prevention. Thirty participants ages 18-25 years (22 females, 8 males) at Arizona State University were involved in this cross-sectional study. Data were collected during one week via self-recorded sleep diaries, quantitative ActiWatch, DEXA imaging, and serum blood draws to measure the bone biomarker osteocalcin. Three participants were excluded from the study as outliers. The median (IQR) for osteocalcin measured by ELISA was 11.6 (9.7, 14.5) ng/mL. The average sleep efficiency measured by actigraphy was 88.3% ± 3.0%. Regression models of sleep efficiency and osteocalcin concentration were not statistically significant. While the addition of covariates helped explain more of the variation in serum osteocalcin concentration, the results remained insignificant. There was a trend between osteocalcin and age, suggesting that as age increases, osteocalcin decreases. This was a limited study, and further investigation regarding the relationship between sleep efficiency and osteocalcin is warranted.
ContributorsMarsh, Courtney Nicole (Author) / Whisner, Corrie (Thesis director) / Mahmood, Tara (Committee member) / School of International Letters and Cultures (Contributor) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05