Matching Items (5)
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Description
This study was designed with the goal of measuring the effects of sleep deprivation on muscle function. Participants in this study consisted of 19 individuals, 11 of which were in the restricted group (age 251) and 8 were in the control group (age 231). Measurements of muscle function included isometric

This study was designed with the goal of measuring the effects of sleep deprivation on muscle function. Participants in this study consisted of 19 individuals, 11 of which were in the restricted group (age 251) and 8 were in the control group (age 231). Measurements of muscle function included isometric strength, isokinetic velocity, and muscle soreness. Isometric strength and isokinetic velocity were taken for knee extension using a dynamometer. Muscle soreness was measured via a 100mm likert visual analogue scale for the step-up and step-down movements with the effected leg. Measurements were taken at baseline, and 48 hours after the damaging bout of eccentric exercise following either 8 hours of sleep per night or 3 hours of sleep per night. Results show that there were no statistical differences between groups for either measurements of isometric strength, isokinetic velocity, or muscle soreness. Due to possible confounding factors, future research needs to be conducted in order to get a better understanding of the effects of sleep deprivation on muscle function.
ContributorsSalmeron-Been, Aaron James (Author) / Dickinson, Jared (Thesis director) / Youngstedt, Shawn (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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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

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
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Description
Sleep diaries and actigraphy are two common methods used to assess sleep subjectively and objectively, respectively. Compared to the gold standard of sleep assessment, polysomnography, sleep diaries and actigraphic methods are more cost-effective and simpler to use. This study aimed to compare the sleep parameters derived from actigraphy and slee

Sleep diaries and actigraphy are two common methods used to assess sleep subjectively and objectively, respectively. Compared to the gold standard of sleep assessment, polysomnography, sleep diaries and actigraphic methods are more cost-effective and simpler to use. This study aimed to compare the sleep parameters derived from actigraphy and sleep diaries (total sleep time, sleep onset latency, number of awakenings, wake after sleep onset, percentage of time awake, and sleep efficiency). Based on results from previous similar studies, it was hypothesized that the sleep diaries would overestimate the total sleep time parameter and underestimate wake parameters. Twenty healthy young adults without sleep problems volunteered to participate. The participants wore an Actiwatch 2 on their wrist and filled out a sleep diary every morning for the duration of six days. A high intraclass correlation coefficient value between subjective and objective sleep was found for the parameter total sleep time, even though total sleep time was found to be slightly overestimated by the sleep diaries. Sleep onset latency, wake after sleep onset, number of awakenings, percentage of time awake, and sleep efficiency were underestimated by the sleep diaries and did not have high correlation values. Based off of the ICC results, there does not seem to be a strong correlation between the Actiwatch 2 and the sleep diaries, but looking at the Bland Altman plots, there seems to be agreement between the methods.
ContributorsRameshkumar, Aarthi (Author) / Buman, Matthew (Thesis director) / Petrov, Megan (Committee member) / Diaz-Piedra, Carolina (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor) / School of Nutrition and Health Promotion (Contributor)
Created2016-12
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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

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
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Description
College students are a niche of young adults, characterized by abnormal sleeping habits and inactive lifestyles. Many students entering college are as young as 18 years old and graduate by 22 years old, a window of time in which their bones are still accruing mineral. The purpose of this cross-sectional

College students are a niche of young adults, characterized by abnormal sleeping habits and inactive lifestyles. Many students entering college are as young as 18 years old and graduate by 22 years old, a window of time in which their bones are still accruing mineral. The purpose of this cross-sectional study was to determine whether sleep patterns and physical activity observed in college students (N= 52) 18-25 years old at Arizona State University influenced bone biomarkers, osteocalcin (OC) and N-terminal telopeptide of type 1 collagen (NTX-1) concentrations. Students completed various dietary and health history questionnaires including the International Physical Activity Questionnaire short form. Students wore an actigraphy watch for 7 consecutive nights to record sleep events including total sleep time, sleep onset latency and wake after sleep onset. Total sleep time had a significant, negative correlation with OC (r = -0.298, p-value =0.036) while sleep onset latency had a significant, positive correlation with NTX-1 serum concentration (r = 0.293, p-value = 0.037). Despite correlational findings, only sleep percent was found to be significant (beta coefficient = 0.271 p-value = 0.788) among all the sleep components assessed, after adjusting for gender, race, BMI and calcium intake in multivariate regression models. Physical activity alone was not associated with either bone biomarker. Physical activity*sleep onset latency interactions were significantly correlated with osteocalcin (r = 0.308, p-value =0.006) and NTX-1 (r = 0.286, p-value = 0.042) serum concentrations. Sleep percent*physical activity interactions were significantly correlated with osteocalcin (r = 0.280, p-value = 0.049) but not with NTX-1 serum concentrations. Interaction effects were no longer significant after adjusting for covariates in the regression models. While sleep percent was a significant component in the regression model for NTX-1, it was not clinically significant. Overall, sleep patterns and physical activity did not explain OC and NTX-1 serum concentrations in college students 18-25 years old. Future studies may need to consider objective physical activity devices including accelerometers to measure activity levels. At this time, college students should review sleep and physical activity recommendations to ensure optimal healthy habits are practiced.
ContributorsMahmood, Tara Nabil (Author) / Whisner, Corrie (Thesis advisor) / Dickinson, Jared (Committee member) / Petrov, Megan (Committee member) / Adams, Marc (Committee member) / Arizona State University (Publisher)
Created2019