Neighborhoods, Obesity and Diabetes- A Randomized Social Experiment

Slides:



Advertisements
Similar presentations
K. HERT, M.G. WAGNER, L. MYERS, J. LEVINE*, T. HECK, Y. RHEE HEALTH, NUTRITION, AND EXERCISE SCIENCES, NORTH DAKOTA STATE UNIVERSITY, FARGO, ND, *FAMILY.
Advertisements

B - body M - mass I - index. The body mass index (BMI), or Quetelet index, is a measure for human body shape based on an individual's weight and height.
Community Health Assessment San Joaquin County.
Psychosocial Factors and Glycemic Control in Mexican Americans with Type 2 Diabetes Isaac Salvdivar 1 & Ranjita Misra 2 1 Educational Psychology, Texas.
Meet the Author Webcast Public Health Reports Meet the Author Webcast Socioeconomic Status and Risk of Diabetes-Related Morality in the United States With.
Body Image and Weight Status among African American and Caucasian Overweight Postpartum Women Participating in a Weight Loss Intervention Lori Carter-Edwards,
Brent D. Mast HUD. HUD currently has no administrative data to compare housing quality of public housing units to that of HCVP units. Census data allow.
Nutrition for Infants and Children Childhood Overweight and Obesity.
Collaborating Partners –Edward R. Roybal Comprehensive Health Center (East Los Angeles) –Hubert H. Humphrey Comprehensive Health Center (South Los Angeles)
February is American Heart Month LEARN ABOUT YOUR RISKS FOR HEART DISEASE AND STROKE AND STAY "HEART HEALTHY" FOR YOURSELF AND YOUR LOVED ONES. Presented.
PPA786: Urban Policy Class 7: Housing Problems and Federal Housing Programs.
Press Release FOR IMMEDIATE RELEASE:CONTACT: Roseanne Pawelec, Tuesday, July 23, 2002(617) NEARLY HALF OF ALL MASSACHUSETTS RESIDENTS OVERWEIGHT.
Highlights from an Albany County Needs Assessment By Jeff Gibberman Dietetic Intern, The Sage Colleges.
National Prevention Strategy 1. National Prevention Council Bureau of Indian AffairsDepartment of Labor Corporation for National and Community Service.
Update from NIH/HHS: Healthy People 2020 Nutrition and Weight Status Focus Area Van S. Hubbard, M.D., Ph.D. Rear Admiral, U.S. Public Health Service NIH.
Chronic Disease Risk Factors: 6th Grade Student Health Screenings Deanna Hanson, MSN RN, BC Beth Whitfield, BSN, RN, MAE Western Kentucky University Fall.
Association between area- level poverty and HIV diagnoses, and differences by sex, New York City Ellen Wiewel, HIV Epidemiology & Field Services.
Michelle Koford Summer Topics Discussed Background Purpose Research Questions Methods Participants Procedures Instrumentation Analysis.
Racial/Ethnic Disparities in Adults Reading to Two Year Old Children: A Population-based Study Olivia Sappenfield Emory University School of Public Health.
Moving to Opportunity in Boston: early results of a randomized mobility experiment Lawrence F. Katz; Jeffrey R. Kling & Jeffrey B. Liebman Presented by.
Ethnic variation in the contribution of Cardiorespiratory fitness and muscular strength to diabetes: crossectional study of 68,116 UK Biobank participants.
WHY DO WE NEED MOBILITY COUNSELING IN CONNECTICUT? Erin Boggs, Esq. Open Communities Alliance.
Nutritional Information on Restaurant Menus in Prince George’s County, MD By: Claudia Jones Service Project 21 July 2014.
Development and Use of Neighborhood Health Analysis: Residential Mobility in Context Katie Murray, The Providence Plan The Urban Institute April 24, 2003.
Housing & Urban Development Mixed-Income Housing.
A Prevention Program for the City of San Bernardino By Mona Aliari.
Childhood Overweight and Obesity. Data from NHANES surveys (1976–1980 and 2003–2006) show that the prevalence of obesity has increased: – for children.
Weight Management Chapter 5. Weight Management  Aim for a healthy weight  Heredity determines bone size and shape  BUT maintaining a healthy weight.
DIABETES JOURNAL CLUB NOVEMBER 17, 2011 Margaux Añel-Tiangco, MD.
Cost of Rural Homelessness: Rural Permanent Supportive Housing Cost Analysis MHSA Small County TA Call September 15, 2010.
Source: Behavioral Risk Factor Surveillance System, CDC. Obesity: Is there really an epidemic?* –The personal and national costs of an epidemic of over-weight.
Current research suggests that older adults will benefit from increasing their whole grain consumption. An emphasis on whole grain intake is presented.
1Childhood Obesity Childhood Obesity: A Growing Problem.
Results Alcohol Use Disorder Disease Management Program: Approximately three-quarters of plans (74%) reported having an alcohol disease management program.
Mental and Behavioral Health Services
Prevention Diabetes.
Healthy Eating Similarities and Differences
Sampling and Experimentation
Conceptual Framework: Health Disparities in African-American Women
Age Adjusted 2013 Prevalence of Obesity by Family Income
Patient Registries and Health Outcomes in Diabetes: A Retrospective Study Nipa Shah, MD1; Fern Webb, PhD1; Liane Hannah, BSH1; Carmen Smotherman, MS2;
Your Body Composition & Maintaining a Healthy Body Weight
David Sottile, Anthony DeFulio, and Kenneth Silverman INTRODUCTION
Assessment of Fair Housing (AFH)
Prevalence of Obesity in Newark Adults 18 Years and Older: Using State and National Data Monifa Springer1, Pauline Thomas2, Kenneth O’Dowd3, Marsha McGowan1,
Health Status Survey of Somali Immigrants in Barron County, Wisconsin
New Data For Better Neighborhood Health
Implementation of a Shelf Labeling and Grocery Store Tour Program in a Low-Income Community Value Store of Houston, Texas Presented by: Brittany Kaczmarek.
Citations Source: BRFSS, CDC.
Citations BRFSS, Behavioral Risk Factor Surveillance System http: //
Obesity Trends Among U.S. Adults Between 1985 and 2010
School Wellness and the Healthy School Environment
Hypertension in Children and Adolescents
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2011 The data for Extreme Poverty, Poverty, and Near.
Leah Ford University of North Carolina at Chapel Hill, 2016 CSW Fellow
Prevention Diabetes Dr Abir Youssef 29/11/2018.
Citations BRFSS, Behavioral Risk Factor Surveillance System http: //
Sustainable Mobility August 26, 2007.
Citations Source: BRFSS, CDC.
Neighborhoods and Poverty
MEASURING HEALTH STATUS
DNA of a Healthy Neighborhood
Citations BRFSS, Behavioral Risk Factor Surveillance System http: //
Obesity Trends Among U.S. Adults between 1985 and 2005
Current conditions.
Citations Source: BRFSS, CDC.
Unit 3 Economic Challenges
Healthy York County Coalition Community Health Assessment Overview of Findings June 2012.
Anti-Poverty Effect of the Supplemental Nutrition Assistance Program
Citations BRFSS, Behavioral Risk Factor Surveillance System http: //
Presentation transcript:

Neighborhoods, Obesity and Diabetes- A Randomized Social Experiment

Abstract Purpose: To study if neighborhood environments contribute directly to the development of diabetes From 1994 through 1998, the Department of Housing and Urban Development (HUD) studied 4498 women with children living in high poverty areas (more than 40% had incomes below federal poverty threshold)

Cont… The question of whether neighborhood environment contributes directly to the development of obesity and diabetes remains unresolved. study uses data from a social experiment to assess the association of randomly assigned variation in neighborhood conditions with obesity and diabetes.

Many studies have shown that neighborhood attributes such poverty and racial segregation are associated with increased risks of obesity and diabetes. In response, the U.S. surgeon general has called for efforts to "create neighborhood communities that are focused on healthy nutrition and regular physical activity, where the healthiest choices are accessible for all citizens.'"

Introduction

Methods Families assigned to one of three groups: Group 1: received housing vouchers if they moved to a lower poverty area w/ counseling on moving Group 2: received unrestricted housing vouchers w/ no counseling Group 3: control that was offered no opportunities

Methods Cont… Families took part in a survey about 13 years after randomization HUD engaged in health follow ups with one adult from from each family from Low poverty vouchers (Group 1) and control group (Group 3) Measures of obesity were determined by BMI (30+) Diabetes measured by glycated hemoglobin levels sing a auto-retractable finger stick (6.5%+) HUD tracked participant’s addresses from baseline to beginning of long-term follow up

Auto retractable finger stick

Results

Conclusion Participants that moved from a neighborhood with a high level of poverty to one with a lower level of poverty was associated with reductions in the prevalence of extreme obesity and diabetes Adults who spent more time in lower-poverty census tracts had greater improvements in diabetes and BMI outcomes Outcomes not involving health suggested that changes in the neighborhood environment, rather than the act of moving itself, are responsible for these effects Low-poverty vouchers and traditional vouchers had different associations with neighborhood attributes that may affect health

Strengths Large number of subjects Continuous collection of physical measurements for health outcomes Participants volunteered Wider range of neighborhoods than is usual for epidemiologic studies The increase in U.S. residential segregation according to income in recent decades suggests that a larger proportion of the population is being exposed to distressed neighborhood environments

Weaknesses BMI is not an accurate measure of obesity, doesn’t take into account body structure, muscle mass and body fat percentages Most women in the study were unmarried and either black or Hispanic