Abstract
The purpose of this study was to examine the association between gut microbiota composition and child obesity. The specific aims were to: 1) evaluate the impact of child obesity status on three related outcomes to be assessed by extracting DNA from children's stool samples using 16S rRNA gene sequencing: alpha diversity of gut microbiota composition, Firmicutes: Bacteroidetes ratio, and abundance of SCFA-generating gut microbes between obese and non-obese school children; 2) compare the dietary habits and intakes between obese and non-obese school children; and 3) evaluate the association of body mass index differences in gut microbiota composition between obese and non-obese school children.
Sigma Membership
Gamma Tau at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Pilot/Exploratory Study
Keywords:
Childhood Obesity, Gut Microbiome, Gene Sequencing
Advisor
Felicia S. Hodge
Second Advisor
William McCarthy
Third Advisor
Wendie Robbins
Fourth Advisor
Sarah Choi
Degree
PhD
Degree Grantor
University of California, Los Angeles
Degree Year
2024
Recommended Citation
Basilio, Cecille M., "Finding the gut microbiome connection to the risk of childhood obesity through an examination of gut microbiota among children in Los Angeles, California: A cross-sectional pilot study" (2024). Dissertations. 1798.
https://www.sigmarepository.org/dissertations/1798
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2024-07-18
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 31140987; ProQuest document ID: 2985645862. The author still retains copyright.