| Home- Introduction
- Graphing Distributions
- Summarizing Distributions
- Describing Bivariate Data
- Probability
- Research Design
- Normal Distribution
- Advanced Graphs
- Sampling Distributions
- Estimation
- Logic of Hypothesis Testing
- Tests of Means
- Power
- Regression
- Analysis of Variance
- Transformations
- Chi Square
- Distribution Free Tests
- Effect Size
- Case Studies
- Contents
Standard - Angry Moods
Standard - Flatulence
Standard - Physicians Reactions
Standard - Teacher Ratings
Standard - Diet and Health
Standard - Smiles and Leniency
Standard - Animal Research
Standard - ADHD Treatment
Standard - Weapons and Aggression
Standard - SAT and College GPA
Standard - Stereograms
Standard - Driving
Standard - Stroop Interference
Standard - TV Violence
Standard - Obesity and Bias
Standard - Shaking and Stirring Martinis
Standard - Adolescent Lifestyle Choices
Standard - Chocolate and Body Weight
Standard - Bedroom TV and Hispanic Children
Standard - Weight and Sleep Apnea
Standard - Misusing SEM
Standard - School Gardens and Vegetable Consumption
Standard - TV and Hypertension
Standard - Dietary Supplements
Standard - Young People and Binge Drinking
Standard - Sugar Consumption in the US Diet
Standard - Nutrition Information Sources and Older Adults
Standard - Mind Set Exercise and the Placebo Effect
Standard - Predicting Present and Future Affect
Standard - Exercise and Memory
Standard - Parental Recognition of Child Obesity
Standard - Educational Attainment and Racial, Ethnic, and Gender Disparity
Standard
- Calculators
- Glossary
| |
Chapter: Section: Home | Previous Section | Next Section No video available for this section.
Physicians'
Reactions to Patient Size

Research conducted by: Mikki
Hebl and Jingping Xu
Case study prepared by: Emily
Zitek Overview Obese people face discrimination
on a daily basis in employment, education, and relationship contexts.
Past research has shown that even doctors, who are trained to treat
all their patients warmly and have access to literature suggesting
uncontrollable and hereditary aspects of obesity, believe obese individuals
are undisciplined and suffer from controllability issues. This case
study examines how doctors treat overweight as compared to normal
weight patients.
Various doctors at one of three major hospitals in the Texas Medical
Center of Houston participated in the study. These doctors were
sent a packet containing a medical chart similar to the one they
view upon seeing a patient. This chart portrayed a patient who was
displaying symptoms of a migraine headache but was otherwise healthy.
This chart also contained a measure of the patient's weight. Doctors
were randomly assigned to receive the chart of a patient who was
overweight or the chart of a patient who was of normal weight. After
reviewing the chart, the doctors then had to indicate how much time
they believed they would spend with the patient.
Questions to Answer Do doctors
discriminate against overweight patients? Specifically, do the doctors
who review charts of overweight patients say they would spend the
same amount of time with their patients as the doctors who review
charts of normal weight patients?
Design Issues The method and
data described here are only a small part of a larger study. See the
reference below for a full description of the study.
Descriptions of Variables
Variable |
Description |
Patient weight |
1 = average weight, 2 = overweight |
Time |
represents how long the doctors said they would spend with
the patient |
References |
Hebl, M., & Xu, J., "Weighing
the care: Physicians' reactions to the size of a patient,"
International Journal of Obesity, 25 (2001): 1246-1252
|
Links
The
Rudd Institute
Exercises |
- Create box plots comparing the time expected to be spent
with the average-weight and overweight patients.
- What is the mean expected time spent for the average-
weight patients? What is the mean expected time spent for
the overweight patients?
- What is the difference in means between the groups? Approximately
how many standard deviations do the means differ?
- Plot histograms of the time spent with the average-weight
and overweight patients.
- To which group does the patient with the highest expected
time belong?
- Perform an independent samples t test comparing the time
spent with the average-weight patients as compared to the
time spent with the overweight patients. Is this difference
statistically significant?
- What is the confidence interval on the difference between
mean time spent with each group?
|
|