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- All Subjects: sleep
- All Subjects: College students--Health and hygiene.
- All Subjects: Sedentary Behavior
- Creators: Whisner, Corrie
- Creators: Buman, Matthew P
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
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 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
This study aimed to investigate the association between active physical comforting strategies during bedtime and autonomy strategies with the relative abundances of Veillonella, Corynebacteria, Prevotella, and Faecalibacterium genera in the gut microbiota of three-month-old infants. We also assessed the impact of mode of delivery (vaginal delivery vs. cesarean section), feeding mode (breastfeeding vs. formula feeding), and sleep patterns on the relative abundances of prespecified bacterial genera. The study also aimed to explore how different nighttime parental interventions influenced gut microbiota composition and identify potential interventions to improve health outcomes in infant growth development and sleep.
ContributorsBobadilla, Gayle Deneb (Author) / Whisner, Corrie (Thesis director) / Petrov, Megan (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / School of Molecular Sciences (Contributor)
Created2024-05
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
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
Description
Objectives
This cross-sectional study sought to assess the eating and physical activity behaviors among in-state and out-of-state college freshmen attending Arizona State University and to determine if social connectedness mediated the relationship between residency status and eating and physical activity behaviors.
Methods
College freshmen from two dormitories were recruited for participation from Arizona State University’s Tempe campus. A 128-item survey assessing demographics, college life, eating and physical activity behaviors, and social connectedness was administered. In addition, participants completed up to three days of dietary recall. Multivariate linear regression models, adjusting for age, gender, race, ethnicity, highest parental education, dormitory, Pell grant status, number of dietary recalls, and availability of a weekend day of dietary recall were used to assess the relationships between residency status, social connectedness, and eating and physical activity behaviors.
Results
No associations were observed between residency status and calories, grams and percentage of calories from fat, and added sugar. There was a statistically significant association between residency status and moderate-to-vigorous physical activity (MVPA). In-state students reported 21 minutes less per day of MVPA than out-of-state students did (β=-20.85; 95% CI=-30.68, -11.02; p<0.001). There was no relationship between residency status and social connectedness. Social connectedness and eating and physical activity behaviors were not associated. Social connectedness did not mediate the relationship between residency status and eating and physical activity behaviors.
Conclusions
In-state and out-of-state students differed in their MVPA; however, this relationship was not mediated by social connectedness. Further studies are needed to confirm the relationship between MVPA and residency status. In addition, more studies are needed to assess the relationship between social connectedness and MVPA.
This cross-sectional study sought to assess the eating and physical activity behaviors among in-state and out-of-state college freshmen attending Arizona State University and to determine if social connectedness mediated the relationship between residency status and eating and physical activity behaviors.
Methods
College freshmen from two dormitories were recruited for participation from Arizona State University’s Tempe campus. A 128-item survey assessing demographics, college life, eating and physical activity behaviors, and social connectedness was administered. In addition, participants completed up to three days of dietary recall. Multivariate linear regression models, adjusting for age, gender, race, ethnicity, highest parental education, dormitory, Pell grant status, number of dietary recalls, and availability of a weekend day of dietary recall were used to assess the relationships between residency status, social connectedness, and eating and physical activity behaviors.
Results
No associations were observed between residency status and calories, grams and percentage of calories from fat, and added sugar. There was a statistically significant association between residency status and moderate-to-vigorous physical activity (MVPA). In-state students reported 21 minutes less per day of MVPA than out-of-state students did (β=-20.85; 95% CI=-30.68, -11.02; p<0.001). There was no relationship between residency status and social connectedness. Social connectedness and eating and physical activity behaviors were not associated. Social connectedness did not mediate the relationship between residency status and eating and physical activity behaviors.
Conclusions
In-state and out-of-state students differed in their MVPA; however, this relationship was not mediated by social connectedness. Further studies are needed to confirm the relationship between MVPA and residency status. In addition, more studies are needed to assess the relationship between social connectedness and MVPA.
ContributorsNelson, Stephanie A. (Stephanie Anne), 1958- (Author) / Bruening, Meg (Thesis advisor) / Ohri-Vachaspati, Punam (Committee member) / Whisner, Corrie (Committee member) / Arizona State University (Publisher)
Created2016
Description
College weight gain and obesity are significant problems impacting our society, leading to a considerable number of comorbidities during and after college. Gut microbiota are increasingly recognized for their role in obesity and weight gain. Currently, research exploring the gut microbiome and its associations with dietary intake and body mass index (BMI) is limited among this population. Therefore, the purpose of this study was to assess associations between the gut microbiome, BMI, and dietary intake in a population of healthy college students living in two dorms at Arizona State University (n=90). Cross-sectional analyses were undertaken including 24-hour dietary recalls and anthropometrics (height, weight and BMI). High throughput Bacterial 16S rRNA gene sequencing of fecal samples was performed to quantify the gut microbiome and analyses were performed at phyla and family levels. Within this population, the mean BMI was 24.4 ± 5.3 kg/m2 and mean caloric intake was 1684 ± 947 kcals/day. Bacterial community analysis revealed that there were four predominant phyla and 12 predominant families accounting for 99.3% and 97.1% of overall microbial communities, respectively. Results of this study suggested that a significant association occurred between one principal component (impacted most by 22 microbial genera primarily within Firmicutes) and BMI (R2=0.053, p=0.0301). No significant correlations or group differences were observed when assessing the Firmicutes/Bacteroidetes ratio in relation to BMI or habitual dietary intake. These results provide a basis for gut microbiome research in college populations. Although, findings suggest that groups of microbial genera may be most influential in obesity, further longitudinal research is necessary to more accurately describe these associations over me. Findings from future research may be used to develop interventions to shift the gut microbiome to help moderate or prevent excess weight gain during this important life stage.
ContributorsHotz, Ricci-Lee (Author) / Whisner, Corrie (Thesis advisor) / Bruening, Meredith (Committee member) / Vega-Lopez, Sonia (Committee member) / Lespron, Christy (Committee member) / Arizona State University (Publisher)
Created2016
Description
Physical activity is critical for optimal health and has emerged as a viable option to improve sleep. Moderate- and vigorous-intensity physical activity comparisons to improve sleep in non-exercising adults with sleep problems is limited. The purpose was to determine the effects of moderate- or vigorous-intensity exercise on sleep outcomes and peripheral skin temperature compared to a no-exercise control. The exercise intensity preference also was determined.
Eleven women (46.9±7.0 years) not participating in regular exercise and self-reporting insomnia completed a graded maximal exercise test followed by a crossover trial of three randomly assigned conditions separated by a 1-week washout. Participants performed moderate-intensity [MIC, 30 minutes, 65-70% maximum heart rate (HRmax)] or high-intensity (HIT, 20 minutes, 1-minute bouts at 90-95% HRmax alternating with 1-minute active recovery) treadmill walking or a no-exercise control (NEC) on two consecutive weekdays 4-6 hours prior to typical bed time. A dual-function wrist-worn accelerometer/temperature monitor recorded movement and skin temperature from which sleep-onset latency (SOL), sleep maintenance, sleep efficiency, total sleep time (TST), and peripheral skin temperature changes were calculated. Participants self-reported sleep outcomes weekly, enjoyment of exercise the morning after HIT and MIC, and exercise intensity preference upon completing all conditions. Mixed models analysis of variance examined differences between and within conditions controlling for demographic characteristics and habitual physical activity.
HIT resulted in up to a 90-minute TST increase on night four (448 minutes, 95% CI 422.4-474.2) compared to nights one-three. MIC nights three (43.5 minutes, 95% CI 30.4-56.6) and four (42.1 minutes 95% CI 29.0-55.2) showed nearly a 30-minute SOL worsening compared to nights one-two. No other actigraphy-measured sleep parameters differenced within or between conditions. Self-reported sleep outcomes, peripheral skin temperature change, and exercise enjoyment between conditions were similar (p>0.05). More participants preferred lower (n=3) to higher (n=1) intensity activities.
Early evening high-intensity and moderate-intensity exercise had no effect on sleep outcomes compared to a control in non-exercising adults reporting sleep complaints. Sleep benefits from HIT may require exercise on successive days. Participants indicated partiality for lower intensity exercise. More information on timing and mode of physical activity to improve sleep in this population is warranted.
Eleven women (46.9±7.0 years) not participating in regular exercise and self-reporting insomnia completed a graded maximal exercise test followed by a crossover trial of three randomly assigned conditions separated by a 1-week washout. Participants performed moderate-intensity [MIC, 30 minutes, 65-70% maximum heart rate (HRmax)] or high-intensity (HIT, 20 minutes, 1-minute bouts at 90-95% HRmax alternating with 1-minute active recovery) treadmill walking or a no-exercise control (NEC) on two consecutive weekdays 4-6 hours prior to typical bed time. A dual-function wrist-worn accelerometer/temperature monitor recorded movement and skin temperature from which sleep-onset latency (SOL), sleep maintenance, sleep efficiency, total sleep time (TST), and peripheral skin temperature changes were calculated. Participants self-reported sleep outcomes weekly, enjoyment of exercise the morning after HIT and MIC, and exercise intensity preference upon completing all conditions. Mixed models analysis of variance examined differences between and within conditions controlling for demographic characteristics and habitual physical activity.
HIT resulted in up to a 90-minute TST increase on night four (448 minutes, 95% CI 422.4-474.2) compared to nights one-three. MIC nights three (43.5 minutes, 95% CI 30.4-56.6) and four (42.1 minutes 95% CI 29.0-55.2) showed nearly a 30-minute SOL worsening compared to nights one-two. No other actigraphy-measured sleep parameters differenced within or between conditions. Self-reported sleep outcomes, peripheral skin temperature change, and exercise enjoyment between conditions were similar (p>0.05). More participants preferred lower (n=3) to higher (n=1) intensity activities.
Early evening high-intensity and moderate-intensity exercise had no effect on sleep outcomes compared to a control in non-exercising adults reporting sleep complaints. Sleep benefits from HIT may require exercise on successive days. Participants indicated partiality for lower intensity exercise. More information on timing and mode of physical activity to improve sleep in this population is warranted.
ContributorsKurka, Jonathan M (Author) / Ainsworth, Barbara E (Thesis advisor) / Adams, Marc A (Committee member) / Angadi, Siddhartha (Committee member) / Buman, Matthew P (Committee member) / Youngstedt, Shawn D (Committee member) / Arizona State University (Publisher)
Created2016
Description
Having accurate measurements of sedentary behaviors is important to understand relationships between sedentary behaviors and health outcomes and to evaluate changes in interventions and health promotion programs designed to reduce sedentary behaviors. This dissertation included three projects that examined measurement properties of wearable monitors used to measure sedentary behaviors. Project one examined the validity of three monitors: the ActiGraph GT3X+, activPAL™, and SenseWear 2. None of the monitors were equivalent with the criterion measure of oxygen uptake to estimate the energy cost of sedentary and light-intensity activities. The ActivPAL™ had the best accuracy as compared with the other monitors. In project two, the accuracy of ActiGraph GT3X+and GENEActiv cut-points used to assess sedentary behavior were compared with direct observation during free-living conditions. New vector magnitude cut-points also were developed to classify time spent in sedentary- and stationary behaviors during free-living conditions. The cut-points tested had modest overall accuracy to classify sedentary time as compared to direct observation. New ActiGraph 1-minute vector cut-points increased overall accuracy for classifying sedentary time. Project 3 examined the accuracy of the sedentary sphere by testing various arm elevation- and movement-count configurations using GENEActiv and ActiGraph GT3X+ data obtained during free-living conditions. None of the configurations were equivalent to the criterion measure of direct observation. The best configuration of the GENEActiv was: worn on the dominant wrist at 15 degrees below the horizontal plane with a cut-point <489 for each 15-second interval. The best configuration for the ActiGraph was: worn on the non-dominant wrist at 5° below the horizontal plane with a cut-point of <489 counts for each 15-second interval. Collectively, these findings indicate that the wearable monitors and methods examined in this study are limited in their ability to assess sedentary behaviors and light intensity physical activity. Additional research is needed to further understand the scope and limitations of wearable monitors and methods used to assess sedentary behaviors and light intensity physical activity.
ContributorsFlorez Pregonero, Argemiro Alberto (Author) / Ainsworth, Barbara E (Thesis advisor) / Buman, Matthew P (Committee member) / Hooker, Steven P (Committee member) / Keller, Colleen S (Committee member) / Swan, Pamela (Committee member) / Arizona State University (Publisher)
Created2017