November 9, Myde Boles, Ph.D. Program Design and Evaluation Services Multnomah County Health Department and Oregon Public Health Division

Similar documents
Classification Bias in Commercial Business Lists for Retail Food Outlets in the U.S

Comparative Analysis of Fresh and Dried Fish Consumption in Ondo State, Nigeria

Availability of Nutritional Information in a National Sample of Fast Food Restaurants

Does Zoning for Healthy Food Access Increase the Availability of Healthy Food Outlets? Jamie F. Chriqui, PhD, MHS

*p <.05. **p <.01. ***p <.001.

Availability of Healthy Snacks in Stores Near Low-Income Urban, High-Income Urban, and Rural Elementary/Middle Schools

2015 ONTARIO GRAPE + WINE INDUSTRY

The R survey package used in these examples is version 3.22 and was run under R v2.7 on a PC.

segregation and educational opportunity

This is a repository copy of Poverty and Participation in Twenty-First Century Multicultural Britain.

Debt and Debt Management among Older Adults

Flexible Working Arrangements, Collaboration, ICT and Innovation

Power and Priorities: Gender, Caste, and Household Bargaining in India

Date: April 15, Holly Henry From: Daniel DeVries Results from New York survey.

Americans consume 400 additional daily calories

Total cheese output (excluding cottage cheese) was 942 million pounds, 4.7 percent above September 2013 and 0.2 percent above August 2014.

Total cheese output (excluding cottage cheese) was 950 million pounds, 2.2 percent above April 2013 but 1.4 percent below March 2014.

ASSESSING THE HEALTHFULNESS OF FOOD PURCHASES AMONG LOW-INCOME AREA SHOPPERS IN THE NORTHEAST

Population Trends 139 Spring 2010

Child-Directed Marketing at Fast- Food Restaurants: Who is marketing to whom?

Effects of Fat Tax and Calorie Information on Restaurant Food Choices

AJAE Appendix: Testing Household-Specific Explanations for the Inverse Productivity Relationship

Suicide Mortality Risk in the United States by Sex and Age Groups

2017 FINANCIAL REVIEW

Smart Meal Seal NCSL Shana Patterson, RD Nutrition Coordinator Colorado Physical Activity and Nutrition (COPAN) program

(a) TECHNICAL AMENDMENTS. Section 403(q)(5)(A) of the Federal Food, Drug, and Cosmetic Act (21 U.S.C. 343(q)(5)(A)) is amended

Total cheese output (excluding cottage cheese) was 1.09 billion pounds, 2.6 percent above December 2016 and 3.0 percent above November 2017.

Measuring economic value of whale conservation

Total cheese output (excluding cottage cheese) was 1.05 billion pounds, 4.0 percent above May 2016 and 0.8 percent above April 2017.

Total cheese output (excluding cottage cheese) was 1.06 billion pounds, 3.3 percent above March 2016 and 12.7 percent above February 2017.

Total cheese output (excluding cottage cheese) was 1.04 billion pounds, 3.7 percent above April 2016 but 2.1 percent below March 2017.

Total cheese output (excluding cottage cheese) was 1.07 billion pounds, 1.7 percent above October 2016 and 5.2 percent above September 2017.

PUBLIC HEALTH BRIEF 2011 UPDATE HEALTHIER CHOICES IN SCHOOL VENDING MACHINES: SURVEY RESULTS FROM MAHONING COUNTY SCHOOLS

The Role of Calorie Content, Menu Items, and Health Beliefs on the School Lunch Perceived Health Rating

Timmie s tops in customer satisfaction

Prevalence of Obesity Among Adults and Youth: United States,

Produce Education Program 2015 Evaluation Report Comparison of Key Findings

Oregon Wine Board Consumer Study. December 18, 2015

Caffeine and Theobromine Intakes of Children: Results From CSFII , 1998

What are the Driving Forces for Arts and Culture Related Activities in Japan?

De La Salle University Dasmariñas

The Economic Impact of the Craft Brewing Industry in Maine. School of Economics Staff Paper SOE 630- February Andrew Crawley*^ and Sarah Welsh

Healthy Recipe Development for Implementation in School Meals

THE EXPECTANCY EFFECTS OF CAFFEINE ON COGNITIVE PERFORMANCE. John E. Lothes II

Menu Labeling Evaluation

The age of reproduction The effect of university tuition fees on enrolment in Quebec and Ontario,

cover foods sold in movie theaters, casinos, bowling alleys, stadiums, cafes in superstores, hotels, and airlines

A Comparison of Imputation Methods in the 2012 Behavioral Risk Factor Surveillance Survey

Bizualem Assefa. (M.Sc in ABVM)

Ex-Ante Analysis of the Demand for new value added pulse products: A

Citrus Attributes: Do Consumers Really Care Only About Seeds? Lisa A. House 1 and Zhifeng Gao

Total cheese output (excluding cottage cheese) was 1.03 billion pounds, 2.3 percent above August 2016 but 0.7 percent below July 2017.

Potatoes are the most important

Running Head: A HILLSBOROUGH COUNTY MULTILEVEL ANALYSIS 1

A Study on Consumer Attitude Towards Café Coffee Day. Gonsalves Samuel and Dias Franklyn. Abstract

Characteristics of Wine Consumers in the Mid-Atlantic States: A Statistical Analysis

Total cheese output (excluding cottage cheese) was 883 million pounds, 5.0 percent above January 2010 but 2.7 percent below December 2010.

Total cheese output (excluding cottage cheese) was 1.05 billion pounds, 2.8 percent above November 2016 but 2.0 percent below October 2017.

Pitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index

Economic Losses from Pollution Closure of Clam Harvesting Areas in Machias Bay

Napa County Planning Commission Board Agenda Letter

How Rest Area Commercialization Will Devastate the Economic Contributions of Interstate Businesses. Acknowledgements

Economic Census Overview and Exercises

Problem Set #3 Key. Forecasting

INFLUENCES ON WINE PURCHASES: A COMPARISON BETWEEN MILLENNIALS AND PRIOR GENERATIONS. Presented to the. Faculty of the Agribusiness Department

Tim Woods Lia Nogueira Shang Ho Yang Xueting Deng WERA 72 Meetings 2014

Multiple Imputation for Missing Data in KLoSA

Applicant Equity Census Results - Summary Applicants, Offers, Registrants

Community differences in availability of prepared, readyto-eat foods in U.S. food stores

2009 Fast Food (QSR) Rewards Programs Consumer Insights

Characteristics of U.S. Veal Consumers

Total cheese output (excluding cottage cheese) was 982 million pounds, 4.2 percent above February 2017 but 10.5 percent below January 2018.

Looking Long: Demographic Change, Economic Crisis, and the Prospects for Reducing Poverty. La Conyuntura vs. the Long-run

Healthy Corner Stores; a Pitt County Perspective

Gender equality in the coffee sector. Dr Christoph Sänger 122 nd Session of the International Coffee Council 17 September 2018

Gasoline Empirical Analysis: Competition Bureau March 2005

GLOBAL COMPASS Global Wine Market Attractiveness. July 2018 Report

DATA AND ASSUMPTIONS (TAX CALCULATOR REVISION, MARCH 2017)

Risk Assessment Project II Interim Report 2 Validation of a Risk Assessment Instrument by Offense Gravity Score for All Offenders

Reputation Tapping: Examining Consumer Response to Wine Appellation Information

Perspective of the Labor Market for security guards in Israel in time of terror attacks

International Journal of Business and Commerce Vol. 3, No.8: Apr 2014[01-10] (ISSN: )

Discrimination of Ruiru 11 Hybrid Sibs based on Raw Coffee Quality

Religion and Innovation

UPPER MIDWEST MARKETING AREA THE BUTTER MARKET AND BEYOND

Comparison of FY15 and FY16 Foodservice Program Budgets

Statistics: Final Project Report Chipotle Water Cup: Water or Soda?

Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach

Demographic, Seasonal, and Housing Characteristics Associated with Residential Energy Consumption in Texas, 2010

Gender and Firm-size: Evidence from Africa

Volume 30, Issue 1. Gender and firm-size: Evidence from Africa

SOCIO-ECONOMIC IMPORTANCE OF CHERRY LAUREL (Prunus laurocerasus L.) IN TURKEY MELEKBER SULUSOGLU KOCAELI UNIVERSITY ARSLANBEY VOCATIONAL SCHOOL

An Intersectional Analysis of the Female Postsecondary Advantage: Gender, Race and College Selectivity*

Problem. Background & Significance 6/29/ _3_88B 1 CHD KNOWLEDGE & RISK FACTORS AMONG FILIPINO-AMERICANS CONNECTED TO PRIMARY CARE SERVICES

Hospital Acquired Infections Report. Disparities National Coordinating Center

From VOC to IPA: This Beer s For You!

McDONALD'S AS A MEMBER OF THE COMMUNITY

2. The proposal has been sent to the Virtual Screening Committee (VSC) for evaluation and will be examined by the Executive Board in September 2008.

Roya Survey Developers Bil Doyle Brad Johns Greg Johnson Robin McNal y Kirsti Wal Graduate Consultant Mohammad Sajib Al Seraj Avinash Subramanian

Gail E. Potter, Timo Smieszek, and Kerstin Sailer. April 24, 2015

Transcription:

November 9, 2010 Myde Boles, Ph.D. Program Design and Evaluation Services Multnomah County Health Department and Oregon Public Health Division

Presenter Disclosures Myde Boles No Relationships to Disclose

Menu Labeling in Oregon Menu labeling policy passed in Multnomah County, Oregon in 2008 Multnomah policy preempted by passage of statewide menu labeling law in 2009 Federal menu labeling law preempted Oregon law 3

Study Design and Methods Customer intercept survey and receipt collection at the top 10 fast food chains Double pre-test design with data collection in spring (wave 1) and fall 2009 (wave 2) Stratified, 2-stage clustered sampling design Establishment is primary sampling unit Customers are secondary sampling unit Strata: Low-income/racially diverse vs. other Type of food sold (burger, sandwich, taco, coffee) 4

Study Design and Methods 50 establishments (25 each socio-stratum) 50 adult customers at each sampled establishment Asked about purchases for up to 3 children for each adult Target: 2500 respondents per survey collection period Customers received $2 in exchange for their register receipt and completion of a brief survey 5

Analysis Today s presentation: burger establishments Comparison of mean calories consumed (with customizations) spring 2009 and fall 2009 Overall and by burger chain Mean calories consumed by subgroups: Saw and used calorie information Gender, age, race Site socioeconomic status Calories important in purchase Snack or meal Diabetes, hypertension Analyses weighted, taking into account complex sampling design (Stata v.11) 6

Study Sample Burger Establishments Spring 2009 n (%) Fall 2009 n (%) Participants 794 644 Establishments McDonald s (5) Burger King (3) Wendy s (2) Burgerville (3) Jack in the Box (3) Gender Male Female Age < 25 25 39 40-64 65 + Race/Ethnicity White (non-hispanic) All Other Races/Ethnicities 249 (41%) 145 (30%) 100 (8%) 150 (9%) 150 (12%) 547 (72%) 247 (28%) 91 (11%) 256 (34%) 378 (45%) 60 (10%) 599 (72%) 185 (28%) 210 (41%) 130 (30%) 75 (8%) 110 (9%) 119 (12%) 442 (73%) 201 (27%) 71 (9%) 187 (29%) 301 (51%) 79 (11%) 481 (71%) 161 (29%)

Mean Calories Calories Purchased vs. Calories Consumed With and Without Customizations Spring & Fall Combined (n=1438) 1019 1030 972 983 Purchased (no customizations) Consumed (no customizations) Purchased (w/ customizations) Consumed (w/ customizations)

Mean Calories Calories Consumed All Burger Chains Combined Spring (n=794) and Fall (n=644) 2009 996 All Burger Chains Spring 09 Fall 09 970

Mean Calories Calories Consumed by Burger Chain Spring and Fall 2009 800 750 700 1084 1066 1036 942 922 789 746 1115 1089 McDonald's Burger King Wendys Burgerville Jack in the Box Spring 09 Fall 09 * *Statistically significant difference over time, p-value <0.05

Seeing and Using Calorie Information % of Burger Customers Spring and Fall 2009 30% 25% 24.5% 20% 15% 10% 5% 12.4% 11.0% 5.4% 0% n=78 n=19 n=56 n=4 Spring 2009 Fall 2009 Saw Calorie Info Used Calorie Info (among those who saw)

Mean Calories Mean Calories Consumed Spring and Fall Combined Saw Calorie Information Used Calorie Information (among those who saw calorie information) 1013 979 996 1008 n=134 n=1304 n=23 n=97 Saw Not Saw Used Not Used

Mean Calories Mean Calories Consumed Spring and Fall Combined Gender Age Groups 800 750 700 1042 827 * 800 750 700 1043 1055 977 * 720* Male Female <25 25-39 40-64 65+ *Statistically significant difference, p-value <0.05

Mean Calories Mean Calories Consumed Spring and Fall Combined Race/Ethnicity Site Socioeconomic Status All Other 973 987 White (non-hispanic) 992 934 Low Income/Diverse High Income/Not Diverse

Mean Calories Mean Calories Consumed Spring and Fall Combined Snack or Meal Calories Important 1068 * 1033 916 * 800 800 700 600 645 700 600 Snack Meal Not Important Important *Statistically significant difference, p-value <0.05

Mean Calories Mean Calories Consumed Fall 2009 Diabetes Hypertension 964 1006 991 918 No Diabetes Diabetes No Hypertension Hypertension

Multivariate Model Dependent Variable: Calories Consumed Independent Variables Coefficient Standard Error P-value Constant 1300.37 63.30 0.000 Female -196.21 27.94 0.000 Age <25 40-64 65+ 5.01-69.11-310.46 57.58 24.30 61.18 0.931 0.008 0.000 White race 47.48 31.35 0.141 Site High SES 38.56 24.46 0.126 Burger chain Burgerville McDonalds Wendys Burger King Calories important -48.69-141.61-221.18 13.40 40.34 36.36 46.33 40.11 0.238 0.001 0.000 0.741-75.35 48.46 0.131 R 2 = 0.1084

Summary Overall, average calories consumed at burger establishments did not change significantly from spring 2009 to fall 2009 Average calories for a lunchtime meal is high nearly half of the recommended daily intake of 2000 calories for the average adult Females and older age customers consumed fewer calories on average Customers at McDonald s and Wendy s consumed fewer calories on average

Acknowledgements Funded by the Healthy Eating Research program of the Robert Wood Johnson Foundation Project Team: Julie Maher, Ph.D., Jane Moore, Ph.D, Alicia Knapp, Interceptors Public Health Seattle & King County Sonia Manhas, Multnomah County Health Department Technical Evaluation Advisory Committee