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1.
Nutrients ; 13(11)2021 Oct 26.
Article in English | MEDLINE | ID: mdl-34836051

ABSTRACT

Dietary behavior change is difficult to accurately measure in a low-income youth population. Objective tools to measure fruit and vegetable consumption without relying on self-report present the opportunity to do this with less respondent burden and bias. A promising tool for quantifying fruit and vegetable consumption via proxy is skin carotenoids as measured by reflection spectroscopy through a device called the Veggie Meter®. To assess whether the Veggie Meter® is able to detect changes in skin carotenoids as a proxy for fruit and vegetable consumption in a low-income school setting, skin carotenoid measurements were collected at three time points, along with student level demographics, anthropometric measurements, and nutrition knowledge. A secondary goal of this study was to refine the protocol to be used based on researcher observations. Repeated measures analysis of variance with Bonferroni correction for multiple comparisons indicate that there was a significant difference in VM scores over the course of the study (F(2, 68) = 6.63, p = 0.002), with an increase in skin carotenoids from Fall 2018 to Spring 2019 (p = 0.005). This increase was sustained over the summer months when measured in Fall 2019. Changes to the protocol included the addition of a hand cleaning step and using the non-dominant ring finger for data collection. With these refinements, the results demonstrate that the Veggie Meter® is usable as a non-invasive tool for measuring fruit and vegetable consumption in a population that is traditionally difficult to assess.


Subject(s)
Carotenoids/analysis , Diet Surveys/instrumentation , Poverty/statistics & numerical data , Spectrum Analysis/instrumentation , Students/statistics & numerical data , Adolescent , Analysis of Variance , California , Child , Diet Surveys/methods , Feasibility Studies , Feeding Behavior/physiology , Female , Fruit , Humans , Male , Nutrition Assessment , Schools , Seasons , Skin/chemistry , Spectrum Analysis/methods , Vegetables
2.
Transl Behav Med ; 9(5): 970-979, 2019 10 01.
Article in English | MEDLINE | ID: mdl-31570929

ABSTRACT

The United States Department of Agriculture's Supplemental Nutrition Assistance Program Education, known as SNAP-Ed, is the country's largest and most diverse community nutrition program. In 2017, nearly 140 SNAP-Ed implementing agencies (SIAs) and hundreds of contractors delivered nutrition education to almost 5 million people in nearly 60,000 low-resource sites. Millions more were impacted with social marketing campaigns and policy, systems, and environmental changes. This article introduces and describes the benefits of the newly developed SNAP-Ed Evaluation Framework (Framework) and companion Interpretive Guide to consistently measure SNAP-Ed outcomes across different settings. The Framework uses the social ecological model as its underlying theory and features 51 indicators across four levels: Individual, Environmental Supports, Sectors of Influence, and Population Results. Topline findings from the first-year Census to track Framework adoption found that most SIAs intended to impact indicators closer to the inner levels of influence: Individual (mean = 59% of SIAs; SD = 22%) and Environmental Settings (mean = 48%; SD = 23%). As yet, few SIAs targeted outcomes for long-term indicators (mean = 26%; SD = 15%), Sectors of Influence (mean = 20%; SD = 12%), or Population Results (mean = 30%; SD = 11%). An in-depth example of how one state is using the Framework is described. The SNAP-Ed Evaluation Framework offers a new suite of evaluation measures toward eliminating disparities that contribute to poor diet, physical inactivity, food insecurity and obesity. Practitioners will need technical assistance to implement the Framework, especially to measure longer-term, multi-sector and population results, and to maximize effectiveness in SNAP-Ed.


Subject(s)
Food Assistance/organization & administration , Health Education/statistics & numerical data , Obesity/prevention & control , Program Evaluation , Food Supply , Humans , Nutrition Policy , Poverty , United States
3.
J Nutr Educ Behav ; 43(4 Suppl 2): S137-44, 2011.
Article in English | MEDLINE | ID: mdl-21683283

ABSTRACT

Health care providers could help achieve the necessary shift to healthful eating and active living; however, lack of coverage or reimbursement, lack of time, and limited information about appropriate interventions are some of the documented barriers. This report highlights the potential for Supplemental Nutrition Assistance Program Education (SNAP-Ed) implementation in the relatively nontraditional setting of Federally Qualified Health Centers based on the experience of the Central Valley Health Network's Nutrition Education Demonstration Project. The report provides a brief overview of the primary prevention role(s) suggested for health care providers, relevant SNAP-Ed policies, how SNAP-Ed has been implemented in Federally Qualified Health Center settings, and recommendations for similar efforts.


Subject(s)
Community Health Centers/organization & administration , Health Plan Implementation/methods , Health Promotion/methods , Public Assistance , Attitude to Health , California , Government Programs , Health Education/methods , Humans , Nutrition Assessment , Nutritional Status
4.
J Nutr ; 136(5): 1431S-1437S, 2006 May.
Article in English | MEDLINE | ID: mdl-16614440

ABSTRACT

This study examined the association between food insecurity, determined by a modified version of the U.S. Household Food Security Survey Module (US HFSSM), and total daily per capita (DPC) consumption (measured as household expenditures) in Bolivia, Burkina Faso, and the Philippines. Household food insecurity was determined by an adapted 9-item US HFSSM version. A short version of the World Bank's Living Standards Measurement Study (LSMS) consumption module measured household expenditures. Focus groups were used to adapt the survey instrument to each local context. The sample (n approximately 330 per country) includes residents of urban and rural areas. A 12-month food expenditure aggregate was generated as part of the total household expenditures calculation. DPC food expenditure, which represented over 60% of the total household consumption, as well as expenditures on specific food groups correlated with food insecurity both as a continuous Food Insecurity Score (FinSS) and a tricategorical food insecurity status variable. ANOVA and regression analysis were executed adjusting for social and demographic covariates. Food-secure households have significantly higher (P < 0.05) total DPC food expenditures as well as expenditures on animal source foods, vegetables, and fats and oils than moderately and severely food-insecure households. The results offer evidence that the US HFSSM is able to discriminate between households at different levels of food insecurity status in diverse developing world settings.


Subject(s)
Food Supply , Poverty , Adult , Bolivia , Burkina Faso , Cognition , Developing Countries , Energy Intake , Family Characteristics , Female , Health Expenditures , Health Surveys , Humans , Interviews as Topic , Male , Middle Aged , Philippines , Surveys and Questionnaires
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