/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 32 Diet and blood pressure An exper... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Diet and blood pressure An experiment that showed that subjects fed the DASH diet were able to lower their blood pressure by an average of 6.7 points compared to a group fed a "control diet." All meals were prepared by dieticians. a) Why were the subjects randomly assigned to the diets instead of letting people pick what they wanted to eat? b) Why were the meals prepared by dieticians? c) Why did the researchers need the control group? If the DASH diet group's blood pressure was lower at the end of the experiment than at the beginning, wouldn't that prove the effectiveness of that diet? d) What additional information would you want to know in order to decide whether an average reduction in blood pressure of 6.7 points was statistically significant?

Short Answer

Expert verified
Random assignment minimizes bias, dieticians ensure consistency, control groups allow comparison, and statistical significance requires data on variability and sample size.

Step by step solution

01

Randomized Assignment

Subjects were randomly assigned to the diets to eliminate any selection bias, ensuring that differences in outcomes can be attributed to the diets themselves, rather than personal preferences or other variables.
02

Role of Dieticians

Meals were prepared by dieticians to maintain consistency and accuracy in the nutritional content of each diet, ensuring that any observed effects on blood pressure could be attributed to the diet itself, and not variations in meal preparation.
03

Purpose of Control Group

A control group is necessary for comparison to determine if changes in the DASH diet group's blood pressure are due to the diet itself rather than other environmental or experimental factors, thereby validating the diet's effectiveness.
04

Statistical Significance Considerations

To determine statistical significance, you would want to know the sample size, variability in blood pressure changes, and pre-study expectations. Statistical tests can then be conducted to confirm if the average reduction is not due to random chance.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Randomized Assignment
In an experiment, randomized assignment is crucial because it helps ensure that the outcome of the study is due to the treatment itself, like a specific diet, rather than other factors. By randomly assigning participants to either the experimental group or the control group, any potential biases that could arise from participants choosing their own group are minimized. This technique ensures that each group is similar in various respects, which helps attribute differences in outcomes solely to the treatment.
  • It prevents selection bias, where individuals might choose diets based on pre-existing preferences or health conditions.
  • Increases the reliability of the results because it neutralizes variables that are not the focus of the study.
Control Group
The inclusion of a control group in experiments serves as a standard for comparison. In the context of studying the effects of a diet, the control group receives a standard or placebo diet instead of the treatment diet. This allows researchers to observe any changes in outcomes, like blood pressure, relative to those not receiving the treatment.
By comparing the experimental group to the control group, researchers eliminate other factors that might influence the result. They can then more accurately claim that the observed effects are due to the treatment itself rather than external influences.
  • Provides a baseline to compare changes in the experimental group.
  • Helps isolate the variable being tested, like a specific diet in this case.
Statistical Significance
Statistical significance is a concept used to determine whether the results of an experiment are meaningful or if they occurred by chance. To assess statistical significance in a study like this one, several factors need to be considered:
  • Sample size: A larger sample size can provide more reliable results.
  • Variability: Understanding the range of blood pressure changes can indicate consistency in results.
  • Pre-study expectations: Having a hypothesis or expectation before the study helps in validating the findings.
These factors form the foundation of conducting statistical tests to check if the observed blood pressure reduction is truly effective. If the results show that the changes are unlikely due to random variations, the findings are said to be statistically significant.
Role of Dieticians
Dieticians play a crucial role in maintaining the integrity of the diet being tested in an experiment. When dieticians prepare meals, they ensure consistency and accuracy in the nutritional content, important for the validity of the study. This consistency helps ensure that any effects on, for instance, blood pressure, can be attributed solely to the diet and not to variations in how the food was prepared.
  • Ensures uniformity across all meal preparations, removing variability from the diet itself as a confounding variable.
  • Helps accurately replicate the diet in future studies or for practical application if proven effective.
Dieticians' expertise guarantees that the intervention is delivered as planned, enhancing the study's validity and applicability.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Safety switch An industrial machine requires an emergency shutoff switch that must be designed so that it can be easily operated with either hand. Design an experiment to find out whether workers will be able to deactivate the machine as quickly with their left hands as with their right hands. Be sure to explain the role of randomization in your design.

Full moon It's a common belief that people behave strangely when there's a full moon and that as a result police and emergency rooms are busier than usual. Design a way you could find out whether there is any merit to this belief. Will you use an observational study or an experiment? Why?

Read each brief report of statistical research, and identify a) whether it was an observational study or an experiment. If it was an observational study, identify (if possible) b) whether it was retrospective or prospective. c) the subjects studied and how they were selected. d) the parameter of interest. e) the nature and scope of the conclusion the study can reach. If it was an experiment, identify (if possible) b) the subjects studied. c) the factor(s) in the experiment and the number of levels for each. d) the number of treatments. e) the response variable measured. f) the design (completely randomized, blocked, or matched). g) whether it was blind (or double-blind). h) the nature and scope of the conclusion the experiment can reach. Herbal remedy Scientists at a major pharmaceutical firm investigated the effectiveness of an herbal compound to treat the common cold. They exposed each subject to a cold virus, then randomly assigned him or her either the herbal compound or a sugar solution known to have no effect on colds. Several days later they assessed the patient's condition, using a cold severity scale ranging from 0 to \(5 .\) They found no evidence of benefits associated with the compound.

Wine A 2001 Danish study published in the Archives of Internal Medicine casts significant doubt on suggestions that adults who drink wine have higher levels of "good" cholesterol and fewer heart attacks. These researchers followed a group of individuals born at a Copenhagen hospital between 1959 and 1961 for 40 years. Their study found that in this group the adults who drank wine were richer and better educated than those who did not. a) What kind of study was this? b) It is generally true that people with high levels of education and high socioeconomic status are healthier than others. How does this call into question the supposed health benefits of wine? c) Can studies such as these prove causation (that wine helps prevent heart attacks, that drinking wine makes one richer, that being rich helps prevent heart attacks, etc.)? Explain.

Swimming Recently, a group of adults who swim regularly for exercise were evaluated for depression. It turned out that these swimmers were less likely to be depressed than the general population. The researchers said the difference was statistically significant. a) What does "statistically significant" mean in this context? b) Is this an experiment or an observational study? Explain. c) News reports claimed this study proved that swimming can prevent depression. Explain why this conclusion is not justified by the study. Include an example of a possible lurking variable. d) But perhaps it is true. We wonder if exercise can ward off depression, and whether anaerobic exercise (like weight training) is as effective as aerobic exercise (like swimming). We find 120 volunteers not currently engaged in a regular program of exercise. Design an appropriate experiment.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.