An Evaluation of Arkansas Cooking Matters Program. Tracey M. Barnett, PhD, LMSW Alex Handfinger, MPS, MPH

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Transcription:

An Evaluation of Arkansas Cooking Matters Program Tracey M. Barnett, PhD, LMSW Alex Handfinger, MPS, MPH

Outline of the Presentation Literature Review Methods Results Discussion Limitations Implications Questions

Literature Review---Definitions USDA s definition for food insecurity and hunger. The U.S. Department of Agriculture (USDA) defines food insecurity as a lack of consistent access to enough food for an active, healthy life. Hunger refers to a personal, physical sensation of discomfort. Food Insecurity--- a lack of available financial resources for food for one s household.

Literature Review Share Our Strength Cooking Matters The Walmart is the national sponsor of Cooking Matters. Developed in 1993, CM is a six-session course designed for low income individuals who are food insecure to provide them with the knowledge and skills to prepare healthy and affordable meals on a budget. Since 2012, through six-week CM s courses and grocery store tours, approximately 13,600 Arkansas families have been taught how to stretch their food dollars and prepare healthy meals while maintaining their budget. In 2015, CM was endorsed by the Governor s Healthy, Active Arkansas 10- Year plan that is aimed to improve the health of all Arkansans.

Literature Review Impact Evaluation of Cooking Matters: Findings from 6 States 1. California 2. Colorado 3. Maine 4. Massachusetts 5. Michigan 6. Oregon 10% increased their cooking confidence. 11% decreased their perceived cooking barriers. Significantly increased the number of dinners cooked at home. (6%; from 5.18 to 5.47). Increased the frequency with which they chose whole grain options by 8%. Significant improvement in their healthy food preparation scores 3.63 at baseline to 3.95. Less worried that food might run out before they had money to buy more (3.01 to 2.65). Sustained an increase in green salad and non-fried vegetable consumption (5% and 6% over baseline reports, respectively).

Literature Review---Problem Statement In 2014, 567,250 (19.1%) Arkansans were classified as food insecure (Feeding America, 2016). Adults who experience food insecurity are faced with many negative health and wellness outcomes such as: overweight/obesity (Adams, Grummer-Strawn, Chavez, 2003) reduction in nutritious meals (Rose, 1999) fair or poor health (Stuff et al. 2004) lower quality of life (Vailas, Nitzke, Becker, Gast, 1998)

Literature Review Nutrition Knowledge Currently access to accurate nutrition literacy is limited for low-income families (Cornish and Moraes, 2015). Self-Efficacy An increase of nutrition knowledge leads to improved attitude and self-efficacy in consuming a healthy diet. When you know better, you do better Maya Angelou Dietary Behavior Further, evidence shows that as socioeconomic status decreases and poverty increases, availability to supermarkets decreases, and availability to corner stores increases (Bower, 2014).

Methodology Sample 536 Adult Arkansans Design Convenience Sampling Approach Pre-Post Test Quantitative Survey Design Instrumentation Cooking Matters for Adult Surveys 2014-2017 Administered to at least 146 sites throughout Arkansas between 2014-2017

Methodology---Operationalization of Variables Scales Items Response Options 1. Example: How often do you compare prices before you buy food? Nutrition Knowledge (7 items) Food Insecurity (3 items) Self-Efficacy (6 items) 2. Example: How often do you use the nutrition facts on food labels? 3. Example: How often do you plan meals ahead of time? 4. Example: How often do you use a grocery list when you go grocery shopping? 5. Example: How often do you eat breakfast within two hours of waking up? 6. Example: How often do you eat food from each food group every day? (Food groups include dairy, grains, fruits, vegetables, and protein.) 7. Example: How often do you make homemade meals from scratch using mainly basic whole ingredients like vegetables, raw meats, rice, etc.? 1. Example: How often do you worry that your food might run out before you get money to buy more? 2. Example: How often do you adjust meals to include specific ingredients that are more budget-friendly, like on sale or in your refrigerator or pantry? 3. Example: How often do you adjust meals to be more healthy, like adding vegetables to a recipe, using whole grain ingredients, or baking instead of frying? 1. Example: How confident are you that you can use the same healthy ingredient in more than one meal? 2. Example: How confident are you that you can cook healthy foods for your family on a budget? 3. Example: How confident are you that you can help your family eat more healthy? 4. Example: How confident are you that you can choose the best-priced form of fruits and vegetables (fresh, frozen or canned)? 5. Example: How confident are you that you can use basic cooking skills, like cutting fruits and vegetables, measuring out ingredients, or following a recipe? 6. Example: How confident are you that you can buy healthy foods for your family on a budget? Never Rarely Sometimes Often Always Does not apply Never Rarely Sometimes Often Always Does not apply Not at all confident A little confident Somewhat confident Very confident Completely confident Does not apply

Methodology---Operationalization of Variables Scales Items Response Options Sugar Sweetened Beverages (2 items) 1. Example: How often do you typically drink 100% fruit juices like orange juice, apple juice or grape juice? (Do not count punch, Kool-aid, sports drinks or other fruit-flavored drinks.) 2. Example: How often do you typically drink a can, bottle, or glass of regular soda or pop, sports drink, or energy drink? (Do not count diet or zero calorie drinks.) Not at all Once a week or less More than once a week Once a day More than once a day Water (1 item) 1. Example: How often do you typically drink a bottle or glass of water? (Count tap, bottled and sparkling water.) Not at all Once a week or less More than once a week Once a day More than once a day Fruit and Vegetable (3 items) Processed and Fast Food (2 items) 1. Example: How often do you typically eat fruit like apples, bananas, melon, or other fruit? 2. Example: How often do you typically eat green salad? 3. Example: How often do you typically eat other non-fried vegetables like carrots, broccoli, green beans, or other vegetables? 1. Example: How often do you typically eat french fries or other fried potatoes, like home fries, hash browns, or tater tots? 2. Example: How many times a week do you typically eat a meal from a fastfood or sit-down restaurant? (Consider breakfast, lunch and dinner.) Not at all Once a week or less More than once a week Once a day More than once a day Not at all Once a week or less More than once a week Once a day More than once a day

Methodology---Research Questions RQ1: Is there a significant difference in pre and post measures of fruit and vegetable consumption? RQ2: Is there a significant difference in pre and post measures of fast food consumption? RQ3: Is there a significant difference in pre and post measures of sugar beverage consumption? RQ4: Is there a significant difference in pre and post measures of water consumption? RQ5: Is there a significant difference in pre and post measures of nutrition knowledge? RQ6: Is there a significant difference in pre and post measures of food insecurity? RQ7: Is there a significant difference in pre and post measures of self-efficacy?

Results---Demographics n % Gender Male 110 20.5% Female 426 79.5% Age Under 18 18 3.4% 18-29 97 18.1% 30-39 93 17.4% 40-49 83 15.5% 50-59 81 15.1% 60 and Over 164 30.6%

Results---Demographics cont. n % Ethnicity White 275 51.3% Black 211 39.4% Other 30 5.6 Asian 5.9% Pacific Islander 2.4% American Indian 6 1.1% Educational Level Less than high school degree 58 10.8% High school or GED 159 29.7% Some college 142 26.5% Two-year college degree 50 9.3% Four-year college degree 127 23.7%

Results---Demographics cont. n % Participation in Assistance Programs WIC 48 18.7% SNAP 148 57.6% Free or reduced-price school breakfast 70 27.2% Free or reduced-price school lunch 83 32.3% Free or reduced-price school supper 11 4.3% Free summer meals 15 5.8% Head Start 17 6.6% Food Pantry 86 33.5%

Results - Overall Consumption Pretest Posttest Wilks Lambda F (1, 536) Eta Squared M SD M SD Fruits and Vegetables 2.21 1.08 2.41 1.01.958 23.20***.042 Fast Food 1.40.66 1.30.68.980 10.95**.020 Sugar Beverage 1.55.92 1.44.88.981 10.457**.019 Water 3.28 1.07 3.40.99.987 7.26***.013 Nutrition Knowledge 2.38.81 2.70.74.810 125.831***.190= 19% Food Insecurity 2.13.87 2.32.75.942 32.92***.058 Self-efficacy 2.95.92 3.44.71.774 156.413***.226= 22.6% Note: * - denote significant at.05, ** - significant at.01, *** - significant at.001

Results - Gender Consumption Fruits and Vegetables Male Pretest Female Pretest Male Posttest Female Posttest M SD M SD M SD M SD Wilks Lambda 1.89.81 1.98.76 2.07.73 2.16.77 1.00.003 Fast Food 1.54.67 1.36.65 1.47.73 1.25.66 1.00.208 Sugar Beverage 1.80.90 1.49.92 1.69.82 1.38.89 1.00.028 Water 3.19 1.12 3.31 1.06 3.25 1.10 3.44.96.999.490 Nutrition Knowledge 2.23.85 2.42.80 2.63.73 2.72.75.996 2.161 Food Insecurity 2.96 2.15.84 2.21.69 2.34.77 1.00.224 Self-efficacy 2.81 1.06 2.99.88 3.31.74 3.47.70 1.00.083 F (1, 536) Note: * - denote significant at.05, ** - significant at.01, *** - significant at.001

Consumption Fruits and Vegetables White Pretest Black Pretest Results - Race Other Pretest White Posttest Black Posttest Other Posttest M SD M SD M SD M SD M SD M SD Wilks Lambda 2.02.79 1.85.70 2.19.95 2.16.77 2.05.69 2.43.89.998.652 F (1, 536) Fast Food 1.35.63 1.51.70 1.19.62 1.25.63 1.39.72 1.22.73.997.915 Sugar Beverage 1.39.93 1.77.88 1.47.89 1.29.93 1.64.80 1.34.79 1.00.037 Water 3.25 1.11 3.32 1.00 3.37 1.07 3.43.97 3.38.990 3.35 1.02.994 1.497 Nutrition Knowledge Food Insecurity Selfefficacy 2.43.81 2.26.77 2.64.89 2.73.74 2.61.71 2.96.79.999.268 2.09.87 2.11.87 2.36.87 2.23.75 2.37.75 2.59.77.995 1.358 2.89.93 3.05.87 2.85 1.07 3.42.72 3.49.68 3.28.84.997.710 Note: * - denote significant at.05, ** - significant at.01, *** - significant at.001

Discussion Arkansas findings reflect the national impact evaluation. Everyone benefited from the intervention regardless of sex and race. CM transcends across multiple demographic groups. CM had the largest effects on Nutrition Knowledge (.190= 19%) and Self- Efficacy (.226= 22.6%)

Limitations Secondary Data. There are no three- and six-month follow up data to measure sustainability. Groups were not randomly selected. Cannot identify CM participants for follow-up interviews and focus groups.

Implications Arkansas has an evidence-based nutrition education program that works! Especially important with the threat of deep cuts to SNAP. Interest in further research through focus groups and one-on-one interviews with participants need for funding.