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Chapter 12: Problem 35

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.

Short Answer

Expert verified
a) Cohort study. b) Wine benefits may be due to socioeconomic status. c) No, observational studies can't prove causation.

Step by step solution

01

Determine the Type of Study

The study mentioned follows individuals over a long period of time, specifically from birth over 40 years. This suggests it is an observational study, more specifically a cohort study, as it observes and records information without interfering in the subject's normal life.
02

Analyze Confounding Variables Related to Wine Consumption

The study found that people who drank wine were richer and better educated. It's known that higher education and socioeconomic status are associated with better health outcomes. Therefore, these factors could be confounding variables that make it seem like wine has health benefits, when in fact, the benefits may be due to the socioeconomic and educational status instead.
03

Evaluate Causation Potential of the Study

Observational studies, like this one, are not designed to prove causation. They can only show correlations or associations. Therefore, this study cannot definitively prove that wine consumption prevents heart attacks or causes other outcomes like increased wealth. Experimental studies, such as randomized controlled trials, would be needed to establish causal links.

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Key Concepts

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

Causation in Research
Understanding causation in research is crucial, especially in studies like the one conducted in Denmark. Causation implies a direct link where one factor indisputably results in the effect of another. In research, proving causation is complex. Unlike correlation, which only indicates a relationship, causation demands more rigorous evidence. In the realm of scientific research, causation can only be conclusively demonstrated through controlled experiments where all other potential variables are accounted for. The Danish study mentioned is observational, so it primarily identifies associations rather than causative links. To ascertain causation, one might conduct a randomized controlled trial (RCT). In such trials, researchers manipulate one variable, such as wine consumption, while keeping all other conditions the same. This helps to rule out other influencing factors, thereby providing more robust evidence of causation.
Confounding Variables
Confounding variables are extraneous factors that might affect the results of a study. They introduce ambiguity, making it difficult to determine the true cause of an outcome. In the Danish study, socioeconomic status and education level are key confounders. The research found that wine consumers were generally wealthier and better educated. Both wealth and education are known to positively impact health through better access to healthcare, healthier lifestyles, and lower stress levels. These confounders can lead researchers to erroneously attribute the health benefits to wine itself, whereas the reality might be that wealth or education level is the real influencing factor. Recognizing and adjusting for confounding variables is essential to accurately interpret research findings. An understanding of confounding variables helps in designing better studies that accurately reflect the true relationships between factors, minimizing errors in the interpretation of data.
Cohort Study
A cohort study is a type of observational research where participants sharing a common characteristic are tracked over time. The Danish study followed individuals from birth for 40 years, making it a classic example of a cohort study. The primary advantage of a cohort study is its ability to monitor changes over time, providing a broad picture of long-term effects and outcomes. It allows researchers to record factual data as it naturally unfolds within context, offering insights into associations between various factors. However, because cohort studies do not involve intervention, they cannot determine causation like experimental trials can. In cohort studies, researchers must remain mindful of confounding variables. Properly identifying these is crucial because they can obscure the real effects being studied. Despite their limitations in proving causation, cohort studies are invaluable for hypothesis generation and for identifying potential directions for future research that might use more controlled methods to determine causal links.

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