Fiber-rich Foods, Weight Status, and the Gut Microbiota in NH Hispanic Adults at Risk for Food Insecurity
FIRST
1 other identifier
observational
61
1 country
1
Brief Summary
This study will include a group of 60 Hispanic adults living in New Hampshire with or without overweight/obesity. The study aims to assess food access and intake of fiber-rich foods, characterize fecal microbiota composition, and assess the relationship between the intake of fiber-rich foods and components of the gut microbiota-gut-brain axis. These aims will be accomplished through biospecimen collection including a pre-collected stool sample, a fasting blood sample, and a Mixed Meal Tolerance Test (MMTT). In addition, participants will answer questionnaires on dietary intake, food insecurity and access, physical activity, eating behavior, and sociodemographic characteristics.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 28, 2022
CompletedFirst Submitted
Initial submission to the registry
July 26, 2022
CompletedFirst Posted
Study publicly available on registry
August 5, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 10, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
October 10, 2024
CompletedMarch 28, 2025
March 1, 2025
2.5 years
July 26, 2022
March 27, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (9)
Food Insecurity and Access
Food insecurity scores will be generated at the household and individual level. Objective measures of food environment and access will be calculated using a modified version of the Retail Food environment Index (RFEI) that focuses on government assistance food sources within a radius around individuals' residential address (e.g., pantries, stores selling fresh food, SNAP retailers). Perceived food environment and access scores will be obtained from the NEMS-P. This questionnaire includes questions about food purchasing habits, priorities for food purchasing choices, characteristics of the local food environment including food availability at retailers and vendors, and food availability at home.
August 2022 to August 2023
Fiber Intake
Fiber intake will be calculated using validated analytical pipelines of the NHANES DSQ, developed at the National Cancer Institute. This methodology will be used to calculate predicted daily intakes of total fiber. The PI has previously used this methodology with Hispanic older adults. A comprehensive list of specific fiber-rich foods routinely consumed will be compiled, which will enable the identification of opportunities to increase local fiber-rich food production and consumption by highlighting foods commonly consumed by NH Hispanics (or gaps in current diets that could be fulfilled with local foods).
August 2022 to August 2023
Microbial Richness
Microbial richness (number of different taxonomic groups per sample) will be established using Dirichlet multinomial mixtures. Relative abundance of bacterial groups (e.g., at the species, genus, phylum level) will also be calculated.
August 2022 to August 2023
Short-Chain Fatty Acids
The SCFA assessment will focus on total SCFA, butyrate, acetate, and propionate. SCFA analysis will be measured using gas chromatography coupled with flame ionization detection.
August 2022 to August 2023
LPS
The concentration of lipopolysaccharides (LPS) in the blood, a measure of gut permeability, will be measured. High circulating LPS, known as metabolic endotoxemia, is associated with insulin resistance, obesity, and other metabolic complications.
August 2022 to August 2023
Insulin
Insulin levels will be measured using an enzyme-linked immunoassay (ELISA). The levels will be measured both from a fasting blood sample, and during MMTT. The fasting level will be used to for the calculation of the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR).
August 2022 to August 2023
Glucose
Fasting glucose level will be used to for the calculation of the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR).
August 2022 to August 2023
GLP-1
The levels of GLP-1 will be measured using an enzyme-linked immunoassay (ELISA). The levels of this hormone will be measured both from a fasting blood sample, and during MMTT.
August 2022 to August 2023
Ghrelin
The levels of ghrelin will be measured using an enzyme-linked immunoassay (ELISA). The levels of this hormone will be measured both from a fasting blood sample, and during MMTT.
August 2022 to August 2023
Secondary Outcomes (2)
Fruit, Vegetable, and Whole Grain Intake
August 2022 to August 2023
Enterotype Classification of Gut Microbiota
August 2022 to August 2023
Study Arms (2)
Healthy BMI (20-25 kg/m2, n=30)
A group of 30 Hispanic/Latino adults who are NH residents residing in SNAP-eligible households, and have a BMI between 20 and 25 kg/m2.
Overweight/Obese BMI (>28 kg/m2, n=30)
A group of 30 Hispanic/Latino adults who are NH residents residing in SNAP-eligible households, and have a BMI greater than or equal to 28 kg/m2.
Eligibility Criteria
The study population will be composed of two groups of participants, one group which is composed of participants with a healthy BMI and the other which is composed of overweight/obese participants. All participants will have self-identified as having an origin or cultural background in a Spanish-speaking country and be between the ages of 18 and 55. All participants will come from SNAP-eligible households. For this study, a SNAP-eligible household is one where the household income is 150% of the national poverty level.
You may qualify if:
- Two groups of participants will be recruited:
- Healthy BMI (20-25 kg/m2, n=30), and
- Overweight/Obese BMI (\>28 kg/m2, n=30)
- Adult men and women (18-55 years of age) residing in a SNAP-eligible households;
- Self-identifying as Hispanic or Latino, and with origin or cultural background from a Spanish-speaking Latin American country;
- Willingness and ability to provide a signed informed consent; and
- Willingness to complete study visits and participate in all aspects of the study.
You may not qualify if:
- Adults reporting any of the following conditions will be excluded from the study:
- Diagnosed type 2 diabetes, chronic kidney or liver disease, cancer, chronic gastrointestinal conditions, cognitive impairment or incapacitating mental health problems, lack of mobility and physical independence, self-reported weight loss \>5 kg within past 6 months, history of communicable or chronic diseases, medication use or surgery that would preclude safe and active study participation, bariatric surgery, antibiotic use within past 3 months, ongoing participation in other clinical trials, use of anti-obesity medications within the past year, inability to communicate in oral and written form in English and/or Spanish, and habitual consumption of more than two alcoholic drinks per day or of illegal drugs.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of New Hampshire Health & Wellness
Durham, New Hampshire, 03824, United States
Related Publications (22)
New Hampshire Department of Health and Human Services. Do I Qualify? NHEasy Gateway to Services https://nheasy.nh.gov/#/screening.
BACKGROUNDBesser RE, Jones AG, McDonald TJ, Shields BM, Knight BA, Hattersley AT. The impact of insulin administration during the mixed meal tolerance test. Diabet Med. 2012 Oct;29(10):1279-84. doi: 10.1111/j.1464-5491.2012.03649.x.
PMID: 22435709BACKGROUNDNCCIH Clinical Research Toolbox. https://www.nccih.nih.gov/grants/toolbox (2020).
BACKGROUND2020 Census Questionnaire. https://www.census.gov/programs-surveys/decennial-census/technical-documentation/questionnaires/2020.html (2020).
BACKGROUNDJauregui-Lobera I, Garcia-Cruz P, Carbonero-Carreno R, Magallares A, Ruiz-Prieto I. Psychometric properties of Spanish version of the Three-Factor Eating Questionnaire-R18 (Tfeq-Sp) and its relationship with some eating- and body image-related variables. Nutrients. 2014 Dec 4;6(12):5619-35. doi: 10.3390/nu6125619.
PMID: 25486370BACKGROUNDFernandez S, Olendzki B, Rosal MC. A dietary behaviors measure for use with low-income, Spanish-speaking Caribbean Latinos with type 2 diabetes: the Latino Dietary Behaviors Questionnaire. J Am Diet Assoc. 2011 Apr;111(4):589-99. doi: 10.1016/j.jada.2011.01.015.
PMID: 21443994BACKGROUNDArredondo EM, Sotres-Alvarez D, Stoutenberg M, Davis SM, Crespo NC, Carnethon MR, Castaneda SF, Isasi CR, Espinoza RA, Daviglus ML, Perez LG, Evenson KR. Physical Activity Levels in U.S. Latino/Hispanic Adults: Results From the Hispanic Community Health Study/Study of Latinos. Am J Prev Med. 2016 Apr;50(4):500-508. doi: 10.1016/j.amepre.2015.08.029. Epub 2015 Nov 18.
PMID: 26597505BACKGROUNDMarin, G., Sabogal, F., Marin, B. V., Otero-Sabogal, R. & Perez-Stable, E. J. Development of a Short Acculturation Scale for Hispanics. Hispanic Journal of Behavioral Sciences 9, 183-205 (1987).
BACKGROUNDNHANES 2017-2018 Questionnaire Instruments. https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/questionnaires.aspx?BeginYear=2017.
BACKGROUNDSvedlund J, Sjodin I, Dotevall G. GSRS--a clinical rating scale for gastrointestinal symptoms in patients with irritable bowel syndrome and peptic ulcer disease. Dig Dis Sci. 1988 Feb;33(2):129-34. doi: 10.1007/BF01535722.
PMID: 3123181BACKGROUNDVandeputte D, Falony G, Vieira-Silva S, Tito RY, Joossens M, Raes J. Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut. 2016 Jan;65(1):57-62. doi: 10.1136/gutjnl-2015-309618. Epub 2015 Jun 11.
PMID: 26069274BACKGROUNDHarrison GG, Stormer A, Herman DR, Winham DM. Development of a spanish-language version of the U.S. household food security survey module. J Nutr. 2003 Apr;133(4):1192-7. doi: 10.1093/jn/133.4.1192.
PMID: 12672942BACKGROUNDGreen SH, Glanz K. Development of the Perceived Nutrition Environment Measures Survey. Am J Prev Med. 2015 Jul;49(1):50-61. doi: 10.1016/j.amepre.2015.02.004.
PMID: 26094227BACKGROUNDNew Hampshire Food Access Map. https://unhcoopext.maps.arcgis.com/apps/MapSeries/index.html?appid=5caa235e0e024beb8bebba50a0297d15&entry=2.
BACKGROUNDBabey, S. H., Diamant, A., Hastert, T. A., Goldstein, H. & Al., E. Designed for Disease: The Link Between Local Food Environments and Obesity and Diabetes. (2008).
BACKGROUNDDietary Screener Questionnaire in the NHANES 2009-10: Background. https://epi.grants.cancer.gov/nhanes/dietscreen/.
BACKGROUNDCaporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Huntley J, Fierer N, Owens SM, Betley J, Fraser L, Bauer M, Gormley N, Gilbert JA, Smith G, Knight R. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 2012 Aug;6(8):1621-4. doi: 10.1038/ismej.2012.8. Epub 2012 Mar 8.
PMID: 22402401BACKGROUNDBolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodriguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS 2nd, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vazquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9. No abstract available.
PMID: 31341288BACKGROUNDCallahan BJ, Sankaran K, Fukuyama JA, McMurdie PJ, Holmes SP. Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses. F1000Res. 2016 Jun 24;5:1492. doi: 10.12688/f1000research.8986.2. eCollection 2016.
PMID: 27508062BACKGROUNDVaremo L, Nielsen J, Nookaew I. Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods. Nucleic Acids Res. 2013 Apr;41(8):4378-91. doi: 10.1093/nar/gkt111. Epub 2013 Feb 26.
PMID: 23444143BACKGROUNDBenjamini, Y. & Hochberg, Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological) 57, 289-300 (1995).
BACKGROUNDDao MC, Everard A, Aron-Wisnewsky J, Sokolovska N, Prifti E, Verger EO, Kayser BD, Levenez F, Chilloux J, Hoyles L; MICRO-Obes Consortium; Dumas ME, Rizkalla SW, Dore J, Cani PD, Clement K. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut. 2016 Mar;65(3):426-36. doi: 10.1136/gutjnl-2014-308778. Epub 2015 Jun 22.
PMID: 26100928BACKGROUND
Biospecimen
Both fasting blood samples and blood samples collected during a mixed-meal tolerance test will be collected and used for glucose and hormone assessment. Pre-collected stool samples will be obtained from participants for SCFA assessment.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Human Nutrition
Study Record Dates
First Submitted
July 26, 2022
First Posted
August 5, 2022
Study Start
March 28, 2022
Primary Completion
October 10, 2024
Study Completion
October 10, 2024
Last Updated
March 28, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share
IPD will not be shared with other researchers. Final data and results will be published and disseminated.