Physical Activity and Nutrition in Minnesota

Similar documents
Adult Obesity in Minnesota

Health Concern. Obesity Guilford County Department of Public Health Community Health Assessment

Pediatric algorithm for children at risk for obesity

Obesity in Cleveland Center for Health Promotion Research at Case Western Reserve University. Weight Classification of Clevelanders

Wilder Research. Adult Health in Le Sueur County Findings from the 2010 Southwest/South Central Adult Health Survey. Overall health.

Looking Toward State Health Assessment.

Colorado s Progress toward Year 2000 Objectives

Nutrition and Cancer Prevention. Elisa V. Bandera, MD, PhD

David V. McQueen. BRFSS Surveillance General Atlanta - Rome 2006

Wilder Research. Adult Health in Kandiyohi County Findings from the 2010 Southwest/South Central Adult Health Survey. Overall health.

Overweight and Obesity Factors Contributing to Obesity

Brief Update on Cancer Occurrence in East Metro Communities

HEALTH FACTORS Health Behaviors. Adult Tobacco Use Adolescent Alcohol Use Healthy Eating School Food Environment Physical Activity

Pennsylvania Department of Health 2003 Behavioral Risks of McKean County Adults Page 1

Statewide Health Improvement Program

Medicaid Report: New Hampshire and Vermont. Preventative Care and Obesity

Self-efficacy & home food availability is associated with healthy meal preparation practices in Kuala Lumpur children

National Center for Chronic Disease Prevention and Health Promotion. Overweight and Obesity Frequently Asked Questions (FAQs)

Community Impact Through Data-Driven Action Teams

J. Michael Gonzalez-Campoy, MD, PhD, FACE Teresa Pearson, MS, RN, CDE, FAADE

Childhood Obesity: A National Focus

WICOMICO COUNTY LOCAL HEALTH IMPROVEMENT COALITION

This page has been intentionally left blank.

FACT SHEET % 15.0% Percent 10.0%

Promoting Physical Activity and Exercise among Children. ERIC Digest.

Behavioral Risk Factor Surveillance System (BRFSS)

SHIP Local Health Assessment Data Collection Requirements

The State of Obesity 2017 Better Policies for a Healthier America

Obesity Trends* Among U.S. Adults BRFSS, 1985 (*BMI 30, or ~ 30 lbs. overweight for 5 4 person) No Data <10% 10% 14%

Media centre Obesity and overweight

Chronic Diseases, Injury Kansas Department of Health and Environment, Bureau of Health Promotion

The U.S. Obesity Epidemic: Causes, Consequences and Health Provider Response. Suzanne Bennett Johnson 2012 APA President

Smoking Status and Body Mass Index in the United States:

Santa Clara County Highlights

WELLNESS POLICY I. INTRODUCTION AND RATIONALE

Depok-Indonesia STEPS Survey 2003

SPARTANBURG COUNTY BODY MASS INDEX (BMI) REPORT

National AfterSchool Association Healthy Eating and Physical Activity Standards

Michigan Nutrition Network Outcomes: Balance caloric intake from food and beverages with caloric expenditure.

Almost 1 in 10 adults have been diagnosed with diabetes. Alabama is ranked fifth in prevalence of diabetes in the United States and its territories.

Pounds Off Digitally (POD) Study: Using podcasting to promote weight loss

Cardiovascular Disease (CVD) has been reported as the leading cause of death

Everyday!!! Childhood Obesity

Prevent Diabetes STAT Hannah Herold, MPH, MA, CHES Chronic Disease Prevention Program Wyoming Department of Health Partnering with Wyoming Primary

Nevada BMI Summary Report and Recommendations

University Journal of Medicine and Medical Specialities

Prevention and Control of Obesity in the US: A Challenging Problem

Some college. Native American/ Other. 4-year degree 13% Grad work

A Public Health Care Plan s Evolving Model to Enhance Community Assets and Promote Wellness in Low-Income Communities of Color

Healthy Montgomery Obesity Work Group Montgomery County Obesity Profile July 19, 2012

Certified Bariatric Nurse Review Course. Session 1

NUTRITION SUPERVISION

Warm Up. Brainstorm the various reasons why you think obesity is on the rise.

Randolph County. State of the County Health Report 2014

Trends in Health Disparities in North Carolina by Region 1

Judy Kruger, PhD, MS, Deborah A. Galuska, PhD, MPH, Mary K. Serdula, MD, MPH, Deborah A. Jones, PhD

Allina Health Neighborhood Health Connection

Healthy Students, Healthy Schools Nutrition Standards for Competitive Foods and Beverages

CULINARY CAUTIONS: OBESITY EPIDEMIC (culinary schools.org)

Nutrition and Physical Activity Situational Analysis

Topic 12-4 Balancing Calories and Energy Needs

Healthy Drinks for Healthy Alaskans Alaska Public Health Summit Session 302 Thursday January 18, am

The Science (and Art) of Evaluation Health Educators Institute October 24, 2007

Obesity in Clark County November 3, 2003 Jeanne Palmer, Health Education Manager, CCHD Rayleen Earney, Chronic Disease Health Educator, CCHD

Diabetes Hospitalization in Minnesota

Got Fruit? How About Vegetables? You re the Cure Increase Access to Fruits and Vegetables in Your Community

Chronic Disease Prevention

MONITORING UPDATE. Authors: Paola Espinel, Amina Khambalia, Carmen Cosgrove and Aaron Thrift

Pennsylvania Department of Health 2006 Behavioral Risks of Chester County Adults Page 1

National Diabetes Prevention Program. Lifestyle Change Program

Policies are Important to Parks and

Childhood Obesity Causes Consequences Overweight

Northampton County. State of the County Health Report (SOTCH)

Assessing Physical Activity and Dietary Intake in Older Adults. Arunkumar Pennathur, PhD Rohini Magham

11. Healthy Lifestyles, Healthy Environments

Evaluation and Treatment of Childhood Obesity

Your Guide to the Lunch Line

Donna Tomky, MSN, C-ANP, CDE, FAADE Albuquerque, New Mexico

On January 7, 2016, the federal government Dietary Guidelines for Americans by Brenda Richardson, MA, RDN, LD, CD, FAND

Allegany Rehabilitation Associates Personalized Recovery Oriented Services Title of Service: Nutrition and Physical Health

State of Wyoming. Department of Health

Expert Committee Recommendations Regarding the Prevention, Assessment, and Treatment of Child and Adolescent Overweight and Obesity: Summary Report

Community Health Needs Assessment Implementation Plan Advocate Good Samaritan Hospital (AGSAM): Obesity Reduction

Nutrition Education Curriculum Resources. April 12, 2018

Heart Disease and Stroke in New Mexico. Facts and Figures: At-A-Glance

PILI OHANA PROJECT A COMMUNITY-ACADEMIC PARTNERSHIP TO ELIMINATE OBESITY DISPARITIES IN HAWAI I

Importance of WIC in Improving Fruit and Vegetable Consumption. Laurence Grummer-Strawn WIC Leadership Forum Washington, DC March 5, 2013

Berrien County 2011 Behavioral Risk Factor Survey. A report on the status of health outcomes and their related behaviors in Berrien County

Contributions of diet to metabolic problems in survivors of childhood cancer

Development of the Eating Choices Index (ECI)

Lean Body Mass Muscles Ligaments Tendons Bones. Body Fat Fat is fat

Supporting and Implementing the Dietary Guidelines for Americans in State Public Health Agencies

Arizona health survey special Issue. Influence of Community, the Built Environment and Individual Behavior on Weight and Obesity among Arizona Adults

May is Fitness Awareness Month

How do we adapt diet approaches for patients with obesity with or without diabetes? Therese Coleman Dietitian

BMI. Summary: Chapter 7: Body Weight and Body Composition. Obesity Trends

School Physical Activity and Nutrition (SPAN)Survey Results for McLennan County

Food for Thought: Children s Diets in the 1990s. March Philip Gleason Carol Suitor

LIVE HEALTHY. Disclosure. Learning Objectives. University of Texas Health Science Center at San Antonio, Texas. Pediatrics Grand Rounds 28 June 2013

Holly F. Lofton, MD NYU Langone Weight Management Program

Transcription:

DATA BRIEF Physical Activity and Nutrition in Minnesota Physical activity and fruit and vegetable consumption are key behaviors that influence a person s weight. Two important components of obesity prevention are a healthy diet and regular physical activity. Balancing the calories consumed with the number of calories the body uses for activity plays an important role in preventing excess weight gain [1-3]. This data brief presents findings on trends in physical activity and nutrition from the most recent national and Minnesota BRFSS data and the relationship between obesity rates, physical activity and nutrition. Minnesota rates for physical activity and nutrition Physical activity: Over the period from 2011 to 2017, the rate of Minnesota adults who said they engaged in some kind of physical activity during the last 30 days has been relatively stable [Figure 1]. In comparison, Minnesota rates are higher than the U.S. median rates for physical activity over the same time period. In 2017, 75.4 percent of Minnesota adults participated in physical activity during the last 30 days, compared to 73.1 percent in the U.S. as a whole [4]. Figure 1. 2011-2017 MN Adults: Participated in any physical activity during the last 30 days 100.0 80.0 78.1 82.5 76.5 79.8 78.2 82.0 75.4 Percent 60.0 40.0 20.0 0.0 21.9 23.5 17.6 20.2 21.8 24.6 18.0 2011 2012 2013 2014 2015 2016 2017 Physically active Not physically active in the last 30 days Data source: CDC Behavioral Risk Factor Surveillance System Fruit and vegetable consumption: In Minnesota fruit and vegetable consumption has increased moderately since 2011 [Figure 2]. As with physical activity, Minnesota rates for fruit and vegetable consumption are higher than the U.S. median rates [4]. 1

Figure 2. 2011-2017 Minnesota adults: fruit or vegetable consumption one or more servings per day 100.0 Percent 90.0 80.0 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 76.4 82.0* 75.1 77.6 63.8 67.7 61.0 62.9 2011 2013 2015 2017 Fruit Vegetables Data source: CDC Behavioral Risk Factor Surveillance System. *Vegetable consumption calculated differently in 2017 Minnesotans who exercise and eat healthfully are less likely to be obese A combination of physical activity, fruit and vegetable consumption are needed to combat obesity. Minnesotans who consume one or more servings of both fruit and vegetable and exercised at least once every 30 days are less likely to be obese than those who do not [Figure 3]. In 2017, the obesity rate for Minnesotans who exercised monthly and consumed at least one serving of fruit and vegetable per day was 9.3 percentage points lower than those who did not [Figure 3]. This data suggests that if Minnesota could increase physical activity, fruit and vegetable consumption, then the obesity rate would likely decrease. 2

Figure 3. 2017 Minnesota adult obesity rates by combined physical activity, fruit consumption and vegetable consumption ^Difference in obesity rates are significant: t-test P < 0.05. Data source: CDC Behavioral Risk Factor Surveillance System Discussion Physical activity and fruit and vegetable consumption are key behaviors that influence obesity. Positive relationships have been observed between weight status and recommended physical activity and eating behavior [3]. Minnesotans who eat one or more fruit and vegetable per day and exercise are less likely to be obese than adults who do not. To make it easier for Minnesotans to eat healthfully and exercise, Minnesota s Statewide Health Improvement Partnership (SHIP) works with communities, schools, workplaces, health care and child care to increase access to healthy foods and opportunities for physical activity. For example, SHIP grantees have helped create safe and convenient spaces to walk and bike, increased the availability of fruits and vegetables at food shelves and corner stores and helped make school food environments healthier, from concessions to celebrations. 3

Technical Notes Data Source and Methods Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide random telephone and cellular surveillance survey designed by the Centers of Disease Control and Prevention (CDC). The survey is conducted in all 50 states and U.S. territories. BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. Data from the BRFSS are useful for planning, initiating, and supporting health promotion and disease prevention programs at the state and federal level [5]. The survey has three sections: Standard Core Questions Asked every year and are required by all states. Rotating Core Questions Asked every other year and are required by all states. Optional Modules Sets of standardized questions on various topics that each state may select and include in its questionnaire. Once selected, a module must be used in its entirety and asked of all eligible respondents Given the random selection of survey participants each year, the data collected each year is cross-sectional and does not follow a single group of individuals over time. This means that changes in estimates from year to year are affected by sample size and changes in demographics of survey respondents from year to year, and that determinations regarding changes in estimates must be made by examination of data trends over time. Definitions Obesity Obesity is defined as an abnormal or excessive fat accumulation that may impair health [6]. Although there are a number of ways to measure fat accumulation, the most common population-level measure is a calculation based on weight and height called Body Mass Index (BMI) [7]. Using this system a person with a BMI of 30 kg/m 2 or greater is defined as obese [6]. Physical Activity For this brief, physical activity is defined based on the BRFSS survey question: During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise? For purposes of reporting in this brief, the data from this question appears in tables and the text as Had Physical Activity in the last 30 Days. Nutrition For this brief, nutrition is defined based on the BRFSS survey question about fruit and vegetable consumption [8] that are part of the rotating survey core questions and are asked in oddnumbered years [5]. The responses to these questions are used to produce calculated variables intended to emphasize the lack of fruit and vegetable consumption by using 1 or more servings and less than 1 serving as cut points. Comparisons using fruit and vegetable consumption are 4

based on the measure 1 or more servings a day with the knowledge that comparisons using higher consumption levels could attenuate relationships presented. References 1. Hall, K.D., et al., Dynamics of childhood growth and obesity: development and validation of a quantitative mathematical model. The Lancet Diabetes & Endocrinology, 2013. 1(2): p. 97-105. 2. National Heart, L., Blood Institute,, Aim for a healthy weight. Bethesda, MD: National Institutes of Health, 2005: p. 05-5213. 3. PATE, R.R., et al., Associations among Physical Activity, Diet Quality, and Weight Status in US Adults. Medicine & Science in Sports & Exercise, 2015. 47(4): p. 743-750. 4. CDC, Behavioral Risk Factor Surveillance System Survey Data. 2017, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention: Centers for Disease Control and Prevention. 5. Centers for Disease Control and Prevention, The BRFSS Data User Guide, D.o.P.H. National Center for Chronic Disease Prevention and Health Promotion, Editor. 2013. p. 10. 6. World Health Organization, Obesity and overweight. Fact sheet No. 311. Geneva: WHO, 2013. 2013. 7. Snijder, M., et al., What aspects of body fat are particularly hazardous and how do we measure them? International Journal of Epidemiology, 2006. 35(1): p. 83-92. 8. Centers for Disease Control and Prevention, Surveillance of fruit and vegetable intake using the Behavioral Risk Factor Surveillance System. Atlanta, GA: Centers for Disease Control and Prevcention Behavioral Risk Factor Surveillance System, 2015. Minnesota Department of Health Office of Statewide Health Improvement Initiatives 85 East 7th Place, Suite 220 PO Box 64882 St. Paul, MN 55164 651-201-5443 www.health.state.mn.us September 2018 To obtain this information in a different format, call: 651-201-5443. Printed on recycled paper. 5