Nutritional Video Intervention Using Mindfulness-based Principles
Healthy Plate Program in East and South Los Angeles: Testing "Mindfulness-inspired" Video in Community Settings
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
- Low income Latina mothers (N=218) who are primary grocery shoppers for the family will be recruited through community based organization to take part in the study. Participation will include completion of survey instruments at baseline, immediately following the intervention; and a subset of participants (N=68) will also complete a 2-month follow-up survey and provide up to two weekly grocery store receipts from the prior 1-2 months at baseline and 2-month followup assessment points. The survey will collect data on demographics, knowledge about healthy eating, self efficacy, perceived stress and family history of relevant health issues. Grocery store receipts will be coded and used to evaluate pre-post changes in shopping of healthy vs unhealthy foods. The study compares two conditions: in the control condition, participants will view a 14-minute video on grocery shopping that teaches participants how to make healthy food choices. In the intervention condition, participants will view the aforementioned video in addition to a 15-minute video on how to manage stressors that arise during grocery shopping. -Surveys are to entered manually into chosen database by research assistant.
- 100% of data entries will be checked by Project specialist for accuracy.
- A total of 218 participants will be recruited to partake in the control condition Group A or Group B of the intervention.
- Because of the exploratory nature of the study, power calculations were not used to determine sample size.
- Group x time analyses will compare changes in knowledge, attitudes and self efficacy before and after exposure to the videos in the entire sample; and in the subsample followed for 2 months, compare baseline to 2-month followup changes in knowledge, attitudes, self efficacy, mindfulness and stress related measures as well as behavior change in food choices during grocery shopping.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Identify as a Hispanic woman
- Ages: 18-55 years
- Responsible for buying groceries for family
- Language use: Ability to speak, read and write English or Spanish
- Resident in the USC's Health Sciences Campus and University Park Campus neighborhoods
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Healthy Cart and Stress Mangement Videos
Healthy Cart and Stress Management Videos: Participants receive two nutritional intervention videos: active comparator and managing stress while food shopping.
|
Healthy Cart and Stress Management Videos: educational videos on healthy food shopping and stress reduction.
|
|
Active Comparator: Healthy Cart Video
Healthy Cart Video: Participants receive one nutritional video intervention on how to shop for healthy foods using My Plate Guidelines.
|
Healthy Cart Video: educational video on healthy food shopping
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in nutritional knowledge at 2 months
Time Frame: Two months
|
All 218 participants will partake in a baseline questionnaire and a post questionnaire immediately following the video intervention to measure knowledge.
A subsample of 29 participants from arm A and 39 participants from arm B will also complete a 2-month follow-up questionnaire to measure knowledge at the second time frame.
|
Two months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in self-efficacy of healthy food shopping at 2 months
Time Frame: Two months
|
All 218 participants will partake in a baseline questionnaire and a post questionnaire immediately following the video intervention to measure knowledge.
A subsample of 29 participants from arm A and 39 participants from arm B will also complete a 2-month follow-up questionnaire to measure self-efficacy at the second time frame.
|
Two months
|
|
Change in food shopping behavior at 2 months
Time Frame: Two months
|
29 participants from arm A and 39 participants from arm B will be asked to turn in 2 grocery store receipts at initial intervention.
They will also be asked back for a 2-month follow-up where they will turn in 2 additional receipts to measure changes in grocery shopping behavior.
|
Two months
|
|
Change in mindful attention awareness at 2 months
Time Frame: Two months
|
29 participants from arm A and 39 participants from arm B will be asked questions regarding mindful attention awareness at initial baseline questionnaire.
In addition, they will be asked back for a 2-month follow-up questionnaire to measure changes in mindful attention awareness at the 2-month mark.
|
Two months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Hortensia Amaro, PhD, University of Southern California
Publications and helpful links
General Publications
- Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007-2008. JAMA. 2010 Jan 20;303(3):242-9. doi: 10.1001/jama.2009.2012. Epub 2010 Jan 13.
- Cortes DE, Millan-Ferro A, Schneider K, Vega RR, Caballero AE. Food purchasing selection among low-income, Spanish-speaking Latinos. Am J Prev Med. 2013 Mar;44(3 Suppl 3):S267-73. doi: 10.1016/j.amepre.2012.11.012.
- Narayan KM, Boyle JP, Thompson TJ, Sorensen SW, Williamson DF. Lifetime risk for diabetes mellitus in the United States. JAMA. 2003 Oct 8;290(14):1884-90. doi: 10.1001/jama.290.14.1884.
- Caballero AE, Bousquet-Santos K, Robles-Osorio L, Montagnani V, Soodini G, Porramatikul S, Hamdy O, Nobrega AC, Horton ES. Overweight Latino children and adolescents have marked endothelial dysfunction and subclinical vascular inflammation in association with excess body fat and insulin resistance. Diabetes Care. 2008 Mar;31(3):576-82. doi: 10.2337/dc07-1540. Epub 2007 Dec 14.
- Caballero AE. Type 2 diabetes in the Hispanic or Latino population: challenges and opportunities. Curr Opin Endocrinol Diabetes Obes. 2007 Apr;14(2):151-7. doi: 10.1097/MED.0b013e32809f9531.
- Drewnowski A, Darmon N. The economics of obesity: dietary energy density and energy cost. Am J Clin Nutr. 2005 Jul;82(1 Suppl):265S-273S. doi: 10.1093/ajcn/82.1.265S.
- Hersey J, Anliker J, Miller C, Mullis RM, Daugherty S, Das S, Bray CR, Dennee P, Sigman-Grant M, Olivia AH. Food shopping practices are associated with dietary quality in low-income households. J Nutr Educ. 2001;33 Suppl 1:S16-26. doi: 10.1016/s1499-4046(06)60066-3.
- Powell LM, Chaloupka FJ. Food prices and obesity: evidence and policy implications for taxes and subsidies. Milbank Q. 2009 Mar;87(1):229-57. doi: 10.1111/j.1468-0009.2009.00554.x.
- Powell LM, Zhao Z, Wang Y. Food prices and fruit and vegetable consumption among young American adults. Health Place. 2009 Dec;15(4):1064-70. doi: 10.1016/j.healthplace.2009.05.002. Epub 2009 May 14.
- Glanz K, Basil M, Maibach E, Goldberg J, Snyder D. Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. J Am Diet Assoc. 1998 Oct;98(10):1118-26. doi: 10.1016/S0002-8223(98)00260-0.
- Millan-Ferro A, Caballero AE. Cultural approaches to diabetes self-management programs for the Latino community. Curr Diab Rep. 2007 Oct;7(5):391-7. doi: 10.1007/s11892-007-0064-9.
- Malik VS, Fung TT, van Dam RM, Rimm EB, Rosner B, Hu FB. Dietary patterns during adolescence and risk of type 2 diabetes in middle-aged women. Diabetes Care. 2012 Jan;35(1):12-8. doi: 10.2337/dc11-0386. Epub 2011 Nov 10.
- Philipson T. The world-wide growth in obesity: an economic research agenda. Health Econ. 2001 Jan;10(1):1-7. doi: 10.1002/1099-1050(200101)10:13.0.co;2-1. No abstract available.
- Katz DL, Doughty K, Njike V, Treu JA, Reynolds J, Walker J, Smith E, Katz C. A cost comparison of more and less nutritious food choices in US supermarkets. Public Health Nutr. 2011 Sep;14(9):1693-9. doi: 10.1017/S1368980011000048. Epub 2011 Feb 28.
- Perrin JM, Bloom SR, Gortmaker SL. The increase of childhood chronic conditions in the United States. JAMA. 2007 Jun 27;297(24):2755-9. doi: 10.1001/jama.297.24.2755. No abstract available.
- Drewnowski A. Obesity and the food environment: dietary energy density and diet costs. Am J Prev Med. 2004 Oct;27(3 Suppl):154-62. doi: 10.1016/j.amepre.2004.06.011.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- UP-14-00591
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