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Historically, researchers in the gut microbiome have deemed the composition of the microbiome as being adult by the age of two. However, recent studies have contradicted this, demonstrating statistically significant differences in the microbiome even through childhood and adolescence. This difference is important in the field of microbiome research, particularly

Historically, researchers in the gut microbiome have deemed the composition of the microbiome as being adult by the age of two. However, recent studies have contradicted this, demonstrating statistically significant differences in the microbiome even through childhood and adolescence. This difference is important in the field of microbiome research, particularly in studies examining this relationship with weight, because even though there have been significant associations between the gut microbiome and weight, they have been largely studied in adults. The freshman year of college is an interesting time to study this relationship in younger populations, due to the lifestyle changes that make them vulnerable to weight gain. This study included N=139 participants, a majority female (N=97, 69.8%), white (N=59, 42.4%), and non-Hispanic (N=89, 64%). Participants were only included in this analysis if they gave 2 or more fecal samples over the 4 timepoint study. Samples were sequenced using the Illumina MiSeq instrument after polymerase chain reaction (PCR) amplification was performed on the V4 region of the 16S rRNA gene sequence. Statistical analysis was performed using the longitudinal plugin of QIIME2. Results demonstrate that low abundance features seemed to drive a majority of the differences in variability between those who maintained their weight over the course of the study and those who gained weight. This was demonstrated through many significant Unweighted UniFrac results with corresponding nonsignificant Weighted UniFrac data. This study demonstrated that changes in lower abundance features may have driven the significant differences in weight status in this study. This study emphasized the importance of low abundance features and how this relates to changes in weight status during a period of major lifestyle changes. Further work is needed to confirm these findings and explore how gut microbes change in free-living individuals gaining weight over time.
ContributorsAhern, Mary (Author) / Whisner, Corrie (Thesis advisor) / Bruening, Meg (Committee member) / Sears, Dorothy (Committee member) / Arizona State University (Publisher)
Created2021
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Background: Rapid infant weight gain (RWG) by six months of age has been identified as one of the earliest indicators of childhood obesity. Previous research suggests that exclusive breastfeeding over formula feeding may serve a protective effect from RWG. In addition, the makeup of the infant gut microbiome may influence

Background: Rapid infant weight gain (RWG) by six months of age has been identified as one of the earliest indicators of childhood obesity. Previous research suggests that exclusive breastfeeding over formula feeding may serve a protective effect from RWG. In addition, the makeup of the infant gut microbiome may influence RWG as differences in feeding practices have been shown to alter the bacterial makeup of the gut, potentially impacting energy metabolism. However, little research has been conducted investigating the potential relationships between RWG, infant feeding practices, and the infant gut microbiome.Methods: This study was a pilot study, which included 31 mother-infant dyads who were primarily recruited from Women, Infant, and Children’s Supplemental Nutrition Program (WIC) clinics and by word of mouth in the Southwestern United States. Participants were followed over six months, with study staff conducting home study visits four times (pregnancy, two days postpartum, three weeks and six months). Mothers who participated in this study were majority White (n=40.6%), non-Hispanic or Latino (67.7%), and obtained a graduate degree (n=22.6%). Participants were included in this analysis (n=22) if they provided at least two infant fecal samples, and the study staff were able to collect infant anthropometric data at the three-week and six-month study visits. Microbial DNA from fecal samples was sequenced using the Illumina MiSeq instrument after polymerase chain reaction (PCR) amplification was performed on the V4 region of the 16S rRNA gene sequence. Statistical analysis was performed using the QIIME2 longitudinal plug-in. Results: Results of this study suggested a significant difference in weighted UniFrac between infants who were exclusively breastfed and formula-fed from birth to three weeks of age. Additionally, an exploratory statistical method identified family Prevotellaceae as a potentially volatile microbe; however, this model failed to reach significance for either RWG or mode of feeding. Overall, no additional alpha or beta diversity metrics or differential abundance of microbes by either RWG or feeding practice group was found in this study. Conclusion: Future research is warranted to further explore potential connections between RWG, infant feeding practices, and the infant gut microbiome in a longitudinal study with a larger sample size.
ContributorsToffoli, Samantha (Author) / Whisner, Corrie (Thesis advisor) / Bruening, Meg (Committee member) / Sears, Dorothy (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Food insecurity and childhood obesity are both major public health concerns in the United States of America. Research has not found a definite relationship between childhood obesity and food insecurity to date, with conflicting results being found due to differences in sample sizes and protocol for measuring key variables. Preschoolers

Food insecurity and childhood obesity are both major public health concerns in the United States of America. Research has not found a definite relationship between childhood obesity and food insecurity to date, with conflicting results being found due to differences in sample sizes and protocol for measuring key variables. Preschoolers (children aged 2-5 years) are a population of particular interest as there tends to be improved health behaviors and greater adaptability to change at this period of growth and development. This study aims to evaluate if there is a relationship between food insecurity and childhood obesity with diet quality as a mediator among preschoolers in the Phoenix area. A secondary data analysis from participants (n=154) from the SAGE (Sustainability via Active Garden Education) research project was used to evaluate food insecurity status, diet quality components (kcal, saturated fat, added sugars, and servings of juice, fruits, and vegetables), and anthropometrics (waist circumference and BMI percentile). No significant associations between food insecurity status, diet quality components, and anthropometric data were found. There was an increased rate of food insecurity and childhood overweight/obesity in this sample compared to state and national averages. Further research of high quality is necessary to determine whether a relationship exists between childhood obesity and food insecurity exists and in what context. Additionally, practice and policy will need to be implemented to decrease rates of food insecurity and childhood obesity among Phoenix preschoolers.
ContributorsGutierrez, Marisa (Author) / Bruening, Meg (Thesis advisor) / Whisner, Corrie (Committee member) / Lee, Rebecca E (Committee member) / Arizona State University (Publisher)
Created2020
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Background: Adequate consumption of fruit and vegetables has been shown to prevent chronic diseases, such as cardiovascular disease, high blood pressure, and type two diabetes. The majority of Americans still consume inadequate daily servings of fruit and vegetables, which include women. Inadequate consumption of fruit and vegetables can be contributed

Background: Adequate consumption of fruit and vegetables has been shown to prevent chronic diseases, such as cardiovascular disease, high blood pressure, and type two diabetes. The majority of Americans still consume inadequate daily servings of fruit and vegetables, which include women. Inadequate consumption of fruit and vegetables can be contributed to multiple barriers that hinder consumption in both urban and non-urban areas. The Special Supplemental Nutrition Program for Women, Infant, and Children (WIC) has been shown to positively influence fruit and vegetable consumption by providing healthy foods, such as fruit and vegetables. This study aims to compare the fruit and vegetable consumption of WIC and non-WIC participants between urban and non-urban Rural-Urban Commuting Area (RUCA) codes. Methods: This study was a cross-sectional, secondary analysis of a single time point from the Snuggle Bug/Acurrucadito Study, which had a sample size of (n=53) participants. The participants were separated into two groups, WIC participants, and non-WIC participants, and then further divided based on their respected RUCA code for comparison purposes. The assessment of fruit and vegetable consumption assessment derived from the participant’s 3-day food record. Results: The average consumption of fruit and vegetable consumption among participants was 3.8±2.5 servings There was an inverse relationship between WIC participation and fruit and vegetable consumption among all categories (fruit no juice -0.79, vegetables -0.32, vegetables no potato -0.32, fruit no juice and vegetables -1.1, and fruit no juice and vegetables no potato -1.1). However, none of the results were considered statistically significant. In addition, our study was unable to identify an association between fruit and vegetable consumption and locale due to the small sample size. Conclusions: There was no link observed between fruit and vegetable consumption and WIC participation. Further research of high quality is needed to confirm the relationship between fruit and vegetable consumption of WIC and non-WIC participants in urban and non-urban populations.
ContributorsOrtiz, Steven Michael (Author) / Bruening, Meg (Thesis advisor) / Whisner, Corrie (Committee member) / Shepard, Christina (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Grains are a major dietary staple in many cultures and countries. Corn can be consumed as either a fruit, vegetable, or grain. In the case of the Corn and Heart Health Study (CHS), the effect of corn flour was examined. The study used three varieties of corn flour (whole grain,

Grains are a major dietary staple in many cultures and countries. Corn can be consumed as either a fruit, vegetable, or grain. In the case of the Corn and Heart Health Study (CHS), the effect of corn flour was examined. The study used three varieties of corn flour (whole grain, refined, and a refined plus bran blend), provided by the North American Millers Association (NAMA), to examine the effectiveness of corn flour on lowering low-density lipoprotein (LDL) cholesterol as well as its effects on the diversity of the gut microbiome. The objective of this analysis was to determine the magnitude of change between pre- and post- intervention serum blood samples and the changes in alpha (within-sample) diversity in the gut microbiome. The study utilized a randomized-single blinded, crossover model. The study was 16 weeks long, with three 4-week long treatment periods with two-week washout periods in between. During each treatment period blood samples, stool samples, a diet record, and questionnaires were collected from participants. Two blood samples were collected at the beginning and end of each treatment period to account for potential day to day changes on LDL cholesterol. For the purpose of this study, the results of blood and fecal analysis were used to determine the effectiveness of the intervention. Fecal analysis using the Shannon Index showed that there was no significant difference in the within-sample microbiome diversity by corn flour type (H=2.86, p=0.72). Pre-treatment plasma LDL levels were subtracted from post-treatment levels and analyzed using a general linear model that controlled for sequence, period and a nested (ID[sequence]) variable to account for the within-person crossover design. This showed that the bran-enriched flour had the highest mean reduction in LDL cholesterol while the refined and whole grain flour resulted in increases in LDL cholesterol. The change in LDL cholesterol for bran-enriched flour was significantly different from the refined flour (Mean Difference of -14.97 mg/dL; P=.041). The results of this study indicate that refined corn flour enriched with bran could be a recommended addition to the diet to prevent cardiovascular disease and reduce LDL cholesterol in individuals who are at low risk.
ContributorsHarris, Michelle Lynn (Author) / Whisner, Corrie (Thesis advisor) / Grant, Shauna (Committee member) / Mayol-Kreiser, Sandra (Committee member) / Arizona State University (Publisher)
Created2024
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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
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Description
Purpose: Although numerous studies exist regarding the health impact of the Special, Supplemental Program for Women, Infants and Children (WIC) and the Supplemental Nutrition Assistance Program (SNAP) on their participants’, limited studies have examined how participation in one federal nutrition assistance program, may impact participation or perceived benefit of the

Purpose: Although numerous studies exist regarding the health impact of the Special, Supplemental Program for Women, Infants and Children (WIC) and the Supplemental Nutrition Assistance Program (SNAP) on their participants’, limited studies have examined how participation in one federal nutrition assistance program, may impact participation or perceived benefit of the other. This study aimed to examine how SNAP participation may impact weight-related pregnancy outcomes and participation of pregnant WIC participants. Methods: The present study is a cross-sectional, secondary data analysis of data available from the Arizona Department of Health Services. A total of 35,659 pregnant woman participated in the Arizona WIC program during 2018 and were included in the study. Pregnant participants were assigned to Group WIC or Group WIC+SNAP respectively. Data was aggregated to the clinic level and clinics with less than 10 pregnant participants were combined for a total of 101 clinics included in the analysis. Weight-related pregnancy outcomes measures included average pre-pregnancy weight, average gestational weight gain, BMI class, and delivery weight. Participation indicator outcomes included average number of visits during pregnancy, timing of first prenatal and postnatal WIC appointment, and entry into WIC within the first trimester. Race, ethnicity, language, and education were also analyzed. Results: This study found average pre-pregnancy weight was statistically significant for women in group SNAP+WIC weighing 2.8 kg more than women in group WIC(p<0.001). Group WIC had a lower delivery weight average (p<0.001) and a higher amount of women beginning pregnancy with a normal BMI (p=0.004). Group WIC participants were statistically more likely to not enroll in WIC during the first trimester compared with Group WIC+SNAP (p=0.049). Group WIC was more likely to enroll in the 8th (p=0.045) and 9th month (p=0.009) of pregnancy and attend their first postpartum visit 6 months after delivery (p=0.007) as compared to Group WIC+SNAP. Conclusions: This study found that pregnant WIC participants, not enrolled in SNAP have a lower pre-pregnancy weight and are more likely not to enroll within the first trimester. Future research should focus on individualized characteristics of WIC participants to further improve prenatal and postnatal support.
ContributorsStolworthy, Alexandra (Author) / Bruening, Meg (Thesis advisor) / Wadhera, Devina (Committee member) / Whisner, Corrie (Committee member) / Arizona State University (Publisher)
Created2022