Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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- All Subjects: Nutrition
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
Studies show that having greater weight-for-length in infancy and obesity in childhood can lead to obesity in adolescence and adulthood. Reducing obesity risk factors may decrease one’s chance of developing obesity. This longitudinal observational study’s objective was to investigate longitudinal associations of infant nighttime sleep proportion with gut microbiome diversity and taxa abundance (n=30). Fecal samples, sleep diaries and sleep actigraphy were taken at 3 and 8 weeks, and 3, 6, 9, and 12 months during infancy. Diversity analysis was completed in Quantitative Insights Into Microbial Ecology 2 (QIIME 2.0) in conjunction with PERMANOVA tests for group comparisons. QIIME2 diversity plug-ins were used to calculate alpha diversity (Shannon index) and beta diversity (Unweighted UniFrac distance) metrics. Percent abundance values for bifidobacteria and lactobacillus were exported at the genus level for subsequent analyses. Mixed linear models (MLM) and Adonis multiple regression analyses were used to test for significant (alpha = 0.05) effects of nighttime sleep fraction on alpha and beta diversity metrics and abundance of specific microbial taxa. All statistical models accounted for individual effects (baby/subject ID), time, and a time*sleep fraction interaction. For aim 1, the regression model was: Shannon = baby + time + sleep fraction + time*sleep fraction. The overall regression was statistically significant (R2 = 0.518, F = 3.9576, p < 0.0001). Nighttime sleep proportion did not significantly predict gut microbiome richness in infants (β = 0.281, p = 0.8603). For aim 2, when adjusting for covariates in a multiple regression model, sleep fraction was insignificant. The R2= 0.005106, F= 0.810996, p=0.619). For aim 3, the fitted regression models were Bifidobacteria/Lactobacillus= baby + time + sleep fraction + time*sleep fraction. The overall regression for Bifidobacteria was statistically significant (R2 = 0.371944, F = 2.6286, p = 0.0008) but nighttime sleep proportion did not significantly predict Bifidobacteria abundance in infants (β = -54.40518, p = 0.2723). The overall regression for Lactobacillus was statistically significant (R2 = 0.236381, F = 1.8687, p = 0.0208) but sleep fraction was not associated with taxa abundance. Further research is needed to describe associations between sleep, gut microbiome, and the distal outcome of obesity.
ContributorsGross, Tav (Author) / Whisner, Corrie (Thesis advisor) / Sears, Dorothy (Committee member) / Petrov, Megan (Committee member) / Arizona State University (Publisher)
Created2024