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Researchers studied the herb black cohosh as a treatment for hot flashes caused by menopause. They randomly assigned 351 women aged 45 to 55 who reported at least two hot flashes a day to one of five groups: (1) black cohosh, (2) a multiherb supplement with black cohosh, (3) the multiherb supplement plus advice to consume more soy foods, (4) estrogen replacement therapy, or (5) receive a placebo. After a year, only the women given estrogen replacement therapy had symptoms different from those of the placebo group. [Annals of Internal Medicine \(145: 12,869-897]\) a) What kind of study was this? b) Is that an appropriate choice for this problem? c) Who were the subjects? d) Identify the treatment and response variables.

Short Answer

Expert verified
a) Experimental study. b) Yes, it's appropriate. c) 351 women aged 45-55. d) Treatment: 5 groups; Response: hot flash symptoms.

Step by step solution

01

Understanding the Study Type

This is an experimental study because researchers randomly assigned women to different treatment groups to compare the effects of different treatments on the frequency of hot flashes.
02

Evaluating the Study's Approach

An experimental study is appropriate for assessing the effectiveness of treatments because it allows for the control of variables and the establishment of a cause-and-effect relationship. Random assignment helps ensure the groups are comparable.
03

Identifying the Subjects

The subjects of the study are 351 women aged 45 to 55 who reported experiencing at least two hot flashes per day. These women were randomly assigned to one of the five groups in the study.
04

Defining Treatment and Response Variables

The treatment variable consists of the five different conditions: (1) black cohosh, (2) a multiherb supplement with black cohosh, (3) the multiherb supplement plus advice to consume more soy foods, (4) estrogen replacement therapy, and (5) a placebo. The response variable is the change in hot flash symptoms experienced by the women after a year.

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Key Concepts

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

Random Assignment
Random assignment is a crucial component in experimental studies, ensuring that each participant has an equal chance of being placed in any of the experimental groups. This method is essential for eliminating biases that could skew the results.
In this study on menopause treatments, the researchers randomly assigned 351 women to five groups, each group testing a different treatment. By doing so, they sought to ensure that personal characteristics or external factors would not unfairly influence the study outcomes.
Here are some key reasons why random assignment is important:
  • **Fair Comparison:** It balances out unknown variables among groups, making the comparison between treatments fair.
  • **Objective Results:** It reduces biases, leading to objective and reliable results on the efficacy of treatments.
  • **Causal Inference:** Helps establish a cause-and-effect relationship between the treatments and the outcomes.
Treatment Variables
In experimental studies, treatment variables are the specific conditions or interventions that are being tested. They are the independent variables that researchers manipulate to observe their effects on the dependent or response variables.
For this study about hot flashes and menopause, the treatment variables consisted of five distinct conditions. These were:
  • Black cohosh supplement
  • Multiherb supplement with black cohosh
  • Multiherb supplement plus dietary advice for soy
  • Estrogen replacement therapy
  • Placebo
Each of these conditions represents a different approach to menopausal symptom management, allowing researchers to assess and compare their effectiveness.
Manipulating these variables enabled the researchers to gather data on which treatment might be most beneficial for women suffering from hot flashes.
Response Variables
Response variables are what researchers measure to determine the impact of the treatment variables. These are often known as the dependent variables because they depend on the treatment being applied.
In the menopause study, the primary response variable was the change in hot flash symptoms experienced by participants over the period of one year. This aimed to capture the effectiveness of each treatment on alleviating menopausal symptoms.
By paying careful attention to the response variable, researchers were able to draw meaningful conclusions about which treatments made a significant difference compared to the placebo. Only the group receiving estrogen replacement therapy showed a noticeable change, highlighting the importance of choosing effective response variables.
Menopause Treatments
Menopause treatments aim to reduce or manage the symptoms women experience during menopause, particularly hot flashes. In clinical research like the study in question, a variety of potential treatments are explored to ascertain their effectiveness.
The treatments studied included options such as black cohosh and multiherb supplements, which are often considered alternative or complementary therapies. Additionally, the study examined dietary modifications alongside these supplements. Estrogen replacement therapy, on the other hand, is a more conventional treatment option, often prescribed to manage menopause symptoms through hormonal adjustments.
Understanding different types of menopause treatments is crucial, as it allows women to make informed decisions based on their personal health needs and preferences. The study indicates differing levels of efficacy among treatments, with estrogen therapy showing more noticeable results than the other options.

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