Matching Items (13)
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- All Subjects: sleep
- Creators: Whisner, Corrie
- Creators: Buman, Matthew
- Member of: Theses and Dissertations
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
No studies have evaluated the impact of tracking resting energy expenditure (REE) and modifiable health behaviors on gestational weight gain (GWG). In this controlled trial, pregnant women aged >18 years (X=29.8±4.9 years) with a gestational age (GA) <17 weeks were randomized to Breezing™ (N=16) or control (N=12) for 13 weeks. The Breezing™ group used a real-time metabolism tracker to obtain REE. Anthropometrics, diet, and sleep data were collected every 2 weeks. Rate of GWG was calculated as weight gain divided by total duration. Early (GA weeks 14-21), late (GA weeks 21-28), and overall (GA week 14-28) changes in macronutrients, sleep, and GWG were calculated. Mediation models were constructed using SPSS PROCESS macro using a bootstrap estimation approach with 10,000 samples. The majority of women were non-Hispanic Caucasian (78.6%). A total of 35.7% (n=10), 35.7% (n=10), and 28.6% (n=8) were normal weight, overweight, and obese, respectively, with 83.3% (n=10) and 87.5% (n=14) of the Control and Breezing™ groups gaining above IOM GWG recommendations. At baseline, macronutrient consumption did not differ. Overall (Breezing™ vs. Control; M diff=-349.08±150.77, 95% CI: -660.26 to -37.90, p=0.029) and late (M diff=-379.90±143.89, 95% CI:-676.87 to -82.93, p=0.014) changes in energy consumption significantly differed between the groups. Overall (M diff=-22.45±11.03, 95% CI: -45.20 to 0.31, p=0.053), late (M diff=-23.16±11.23, 95% CI: -46.33 to 0.01, p=0.05), and early (M diff=20.3±10.19, 95% CI: -0.74 to 41.34, p=0.058) changes in protein differed by group. Nocturnal total sleep time differed by study group (Breezing vs. Control; M diff=-32.75, 95% CI: -68.34 to 2.84, p=0.069). There was a 11.5% increase in total REE throughout the study. Early changes in REE (72±211 kcals) were relatively small while late changes (128±294 kcals) nearly doubled. Interestingly, early changes in REE demonstrated a moderate, positive correlation with rates of GWG later in pregnancy (r=0.528, p=0.052), suggesting that REE assessment early in pregnancy may help predict changes in GWG. Changes in macronutrients did not mediate the relationship between the intervention and GWG, nor did sleep mediate relationships between dietary intake and GWG. Future research evaluating REE and dietary composition throughout pregnancy may provide insight for appropriate GWG recommendations.
ContributorsVander Wyst, Kiley Bernhard (Author) / Whisner, Corrie M (Thesis advisor) / Reifsnider, Elizabeth G. (Committee member) / Petrov, Megan E (Committee member) / Buman, Matthew (Committee member) / Shaibi, Gabriel Q (Committee member) / Arizona State University (Publisher)
Created2019
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
Description
Turmeric is the bright yellow root that has been used as a spice, healing remedy, and textile dye. Previous studies have suggested that the most active ingredient in turmeric, curcumin, could reduce serum cholesterol concentration. However, most of these studies were conducted on animals and not many have been done on controlled human trials. This randomized, double-blinded, controlled crossover study evaluates the effects of turmeric on blood cholesterol concentrations including total cholesterol, LDL cholesterol, HLD cholesterol, and triglycerides. In this study, eight healthy participants between the ages of 18 and 45 were randomized to receive either 500mg capsules of turmeric or placebo for a period of three weeks. Following a wash-out period of five weeks, all participants were crossed over to the alternative treatment for another three weeks. After comparing the 3 week treatment and placebo phases, turmeric showed no significant effect on serum lipid concentrations. Furthermore, a slight increase in total cholesterol concentrations was observed following the turmeric phase when compared to the placebo phase.
ContributorsDo, Ngoc Bich Thi (Author) / Johnston, Carol (Thesis director) / Whisner, Corrie (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Turmeric, scientifically known as Curcuma longa, is a tropical plant that is most often consumed in India.1 The rhizome of the plant is dried and then ground into a fine, vibrant yellow powder. In addition to its function as a spice, turmeric is also used in traditional Ayervedic medicine due to its unique medical properties. These unique properties are attributed to the three major constituents of turmeric: curcumin, α-isocurcumin, and β-isocurcumin.2 Curcumin (Diferuloylmethane; C21H20O6), makes up 5% of turmeric by weight, and is the most prominent active ingredient within the turmeric root. Perhaps the most intriguing characteristic about curcumin is its ability to modulate targets such as, but not limited to, transcription factors, enzymes, apoptosis genes, and growth factors.1 Modern medical research has determined curcumin to be a viable treatment and prevention method for disease such as type II diabetes mellitus, rheumatoid arthritis, liver cirrhosis, and certain cancers. However, research on turmeric’s effects on gastrointestinal health is significantly lacking. This randomized, double-blind, cross-over trial looked to see if supplemental turmeric (500 mg as dried root powder) would significantly raise breath hydrogen emission (BHE) and reduce small bowel transit time (SBTT) in 8 female adults who were suffering from chronic constipation. Although supplemental turmeric did not significantly impact BHE or SBTT, the number of bowel movements greatly increased during turmeric intervention.
ContributorsUgarte, Noel (Author) / Johnston, Carol (Thesis director) / Whisner, Corrie (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Sleep is imperative for health and wellness with direct impacts on brain function, physiology, emotional well-being, performance and safety when compromised. Adolescents and young adults are increasingly affected by factors affecting the maintenance of regular sleep schedules. College and university students are a potentially vulnerable population to sleep deprivation and sleep insufficiency. Possible factors that could contribute to poor sleep hygiene include, but are not limited to, academic pressures, social activities, and increased screen time. Arguably, students are still experiencing bone mineralization, until the age of 30 or even 40 years old, which makes it more important to understand the effects that altered sleep patterns could have on continued development of bone health. It is our understanding that to date, studies assessing the risk of sleep insufficiency on bone mineral density in college students have not been conducted. We hypothesized that college-aged students, between the ages of 18-25 years, with shorter sleep durations, greater sleep schedule variability, and poorer sleep environments will have significantly lower bone mineral density. ActiGraph monitoring, via a wrist ActiWatch was used to quantitatively measure sleep habits for up to 7 consecutive days. During the week-long study participants also captured their self-reported sleep data through the use of a sleep diary. Participants were measured one time within the study for bone mineral density of the lumbar spine and total hip through a dual energy x-ray absorptiometry. This was a preliminary analysis of a larger cross-sectional analysis looked at 17 participants, of which there were 14 females and 3 males, (n=5, 1 and 11 Hispanic, Black and White, respectively). The mean age of participants was 20.8±1.7 y with an average BMI of 22.9±3.2 kg/m2. ActiWatch measurement data showed a mean daily sleep duration of participants to be 437.5 ± 43.1 (372.5 – 509.4) minutes. Mean sleep efficiency (minutes of sleep divided by minutes of time in bed) and mean number of awakenings were 87.4±4.3 (75.4-93.4) minutes and 32.1±6.4 (22.3-42.7) awakenings, respectively. The median time for wake after sleep onset (WASO) was 34.5±10.5 (18.3-67.4) minutes. The mean bone mineral density (BMD) for the hips was 1.06±0.14 (0.81-1.28) g/cm2 with a mean BMD of the lumbar spine being 1.24±0.12 (0.92-1.43) g/cm2. Age-matched Z-scores of the hips was 0.31±0.96 (-1.6-2.1) and lumbar spine was 0.53 (IQR: 0.13, 0.98; -2.25-1.55). Neither sleep duration nor sleep efficiency was significantly correlated to BMD of either locations. While WASO was positively associated with hip and spine BMD, this value was not statistically significant in this population. Overall, associations between sleep and BMD of the femur and spine were not seen in this cohort. Further work utilizing a larger cohort will allow for control of covariates while looking for potential associations between bone health, sleep duration and efficiency.
ContributorsEsch, Patricia Rose (Author) / Whisner, Corrie (Thesis director) / Petrov, Megan (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Background Osteoporosis is a major health problem that can occur in people of all ages. It can stem from poor bone health during childhood and adolescence. It hinders independent living, impacts social living, reduces participation in physical activity, and increases risk of fractures and physical pain. In addition to age, gender, race, physical activity and diet, sleep is considered to be a risk factor in the development of osteoporosis in both the young and elderly population. Bone-specific alkaline phosphatase, a bone formation biomarker was measured to determine osteoporotic risk while an actigraphy device was used to measure sleep efficiency in college students. Objective The purpose of this study is to evaluate the relationship between sleep efficiency and bone-specific alkaline phosphatase levels. Recognition of any association may help in understanding how sleep is related to bone health. Methods Twenty-seven participants were recruited with the use of flyers distributed on campus and in residential halls, social media, email, and student newsletters. Bone-specific alkaline phosphatase biomarker was measured using human specific enzyme-linked immunosorbent assay (ELISA). Sleep data were collected from participants who wore ActiWatch for 7 days and completed a 7-night sleep diary. Linear and multiple regression analysis were performed to evaluate association between B-ALP (outcome) and sleep efficiency while adjusting for covariates (age, BMI, race, gender). Results and Conclusions Overall, there was no significant association between sleep efficiency and bone-specific alkaline phosphatase. Gender, however, showed a significant influence on the levels of bone-alkaline phosphatase. This is supported by a study that found higher bone turnover marker in males than in females. The result from the study could be due to limitations such as small sample size. More participants may provide a better comparison or association between variables. Genetic factors are believed to influence the outcome of the study as genetics can influence rate of bone loss or formation. Findings may be beneficial for public health and policy initiatives and allow health / nutrition educators to more adequately encourage proper habits such as physical activity, healthy diet and sufficient sleep for good bone health.
ContributorsLadipo, Evelyn Irawola (Author) / Whisner, Corrie (Thesis director) / Mahmood, Tara (Committee member) / School of Life Sciences (Contributor) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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 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
Description
Physical activity, sedentary behaviors, and sleep are often associated with cardiometabolic biomarkers commonly found in metabolic syndrome. These relationships are well studied, and yet there are still questions on how each activity may affect cardiometabolic biomarkers. The objective of this study was to examine data from the BeWell24 studies to evaluate the relationship between objectively measured physical activity and sedentary behaviors and cardiometabolic biomarkers in middle age adults, while also determining if sleep quality and duration mediates this relationship. A group of inactive participants (N = 29, age = 52.1 ± 8.1 years, 38% female) with increased risk for cardiometabolic disease were recruited to participate in BeWell24, a trial testing the impact of a lifestyle-based, multicomponent smartphone application targeting sleep, sedentary, and more active behaviors. During baseline, interim (4 weeks), and posttest visits (8 weeks), biomarker measurements were collected for weight (kg), waist circumference (cm), glucose (mg/dl), insulin (uU/ml), lipids (mg/dl), diastolic and systolic blood pressures (mm Hg), and C reactive protein (mg/L). Participants wore validated wrist and thigh sensors for one week intervals at each time point to measure sedentary behavior, physical activity, and sleep outcomes. Long bouts of sitting time (>30 min) significantly affected triglycerides (beta = .15 (±.07), p<.03); however, no significant mediation effects for sleep quality or duration were present. No other direct effects were observed between physical activity measurements and cardiometabolic biomarkers. The findings of this study suggest that reductions in long bouts of sitting time may support reductions in triglycerides, yet these effects were not mediated by sleep-related improvements.
ContributorsLanich, Boyd (Author) / Buman, Matthew (Thesis advisor) / Ainsworth, Barbara (Committee member) / Huberty, Jennifer (Committee member) / Arizona State University (Publisher)
Created2017
Description
Food insecurity affects more than 10 million households in the United States and has been shown to impact what and how a child is fed. Additionally, there is some evidence to suggest that food insecurity may affect how an infant is soothed (either with food or another mechanism), but no study has examined the possible relationship between soothing techniques and the incidence of food insecurity. To evaluate whether food security status and nighttime soothing techniques have a relationship, surveys were administered to a sample of mothers from various racial and socioeconomic backgrounds at 3-weeks, 8-weeks, and 3-months postpartum. Of the 69 participants sampled, 61 had data that could contribute to evaluations of food security status and soothing techniques used at night. A chi-square model was utilized to determine what, if any, relationship existed between the two variables. The chi-square model did not yield statistically significant results (Pearson Chi-Square= .506, p=.477) and descriptive statistics showed that just six of the 61 participants sampled did not use food to soothe at the time their baby was 3-weeks-old. Further examination of descriptive statistics revealed that, between breastfeeding and bottle-feeding as a means to soothe an infant, breastfeeding was used twice as much as bottle-feeding. For participants enrolled in the Special Supplemental Nutrition Program for Women, Infants, Children (WIC), the use of food to soothe increased at each of the three time points. Among participants found to be food-insecure, the use of breastfeeding and bottle-feeding as means to soothe varied from time point to time point. The physical and mental toll of the postpartum period may contribute to the high use of food-to-soothe among mothers seen in this study. Future research efforts in this area should examine whether the observations reported in this study are similar among larger samples, and if more mental health support for mothers has any effect on whether food is used to soothe.
ContributorsKoelbel, Megan (Author) / Whisner, Corrie (Thesis advisor) / Petrov, Megan (Committee member) / Bruening, Meg (Committee member) / Arizona State University (Publisher)
Created2023
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