Topic: What is the relationship between stress and eating habits?
Statistical Concepts Covered:
In this applet, you’ll learn more about relationships by looking at categorical data. We will also discuss issues with using self-reported data.
Introduction
Your text chapter discusses the importance of healthy eating, exercise, and not smoking as part of a healthy lifestyle. All of these behaviors, however, can be affected by stress and how we cope with that stress. The data for this applet comes from a longitudinal study of 16-year-old boys and girls in the Northern Finland Birth Cohort 1986 (Jääskeläinen, Nevanperä, Remes, Rahkonen, Järvelin, & Laitinen, 2014). Followed since birth, these teens were asked a variety of questions about their dietary, and other health related behaviors, as well as assessed to determine if they are a stress-driven or non-stress-driven eater. Our analysis of this data will focus on comparing the sexes (males and females) and eater types (stress-driven and non-stress-driven) for different behaviors to determine the relationship between these variables.
Statistical Lesson. In previous applets we considered correlations and how we use them to look at a relationship between two variables. These variables were always numerical, meaning we were looking at the relationship between two sets of numbers. Did they increase together or did one increase as the other decreased? But how do we look at a relationship when we have two variables that are categorical? Categorical variables have different groups or categories to them, such as sex, race, college major, occupation, etc. There is no single number being measured, only whether or not someone fits into a particular category.
In order to look at a relationship between these types of categorical variables, for example between sex and college major, we must use tests that compare the frequencies that make up each combination of the two variables. In this case, we’d be looking at whether or not there are any differences in the number of males or females that major in psychology, business, or biology. In other words, are females more likely to be a business, psychology, or biology major? Do females major in these topics at the same rates as males? In this applet we will be looking at the relationship between various categorical variables, such as type of eater and/or sex and eating behaviors. As with correlations, any tests that look at relationships should focus only on that relationship and not imply causality.
1) Do stress-driven eaters consume certain foods at different quantities? Compare chocolate, ice cream, and hamburgers and pizza. Which food(s) do stress-driven eaters eat more often? (Select “Hamburgers and pizzas”, “Chocolate”, and “Ice cream” as the foods to display. Select both boxes inside “Amount or frequency” and both boxes inside “Sex”.)
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2) Based on the graphs used for question 1, how did the stress-driven eaters compare to the non-stress-driven eaters for these foods?
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3) How do stress-driven eaters compare to non-stress-driven eaters in terms of other behaviors, such as binge eating, using heavy exercise to control weight, and using a strict diet to control weight? (Select “Binge eating”, “Heavy exercise to control weight”, and “Strict diet to control weight” as the behaviors to display. Select the four boxes available inside “Amount or frequency”, while leaving both boxes inside “Sex” unchecked.)
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4) Is physical activity related to stress-driven eating? Compare stress-driven eaters to non-stress-driven eaters in terms of their physical activity. (Select “Physical activity” as the behavior to display. Select the three boxes available inside “Amount or frequency”, while leaving the “Sex” boxes unchecked.)
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5) In the previous questions we focused only on eater type, not on sex. How do stress-driven eaters compare to non-stress-driven eaters in terms of binge eating, using heaving exercise to control weight, and using a strict diet to control weight, when taking into consideration the person’s sex (male or female)? In other words, what is the combined effect of being male or female and being a stress-driven or non-stress-driven eater on these behaviors? (Select “Binge eating”, “Heavy exercise to control weight”, and “Strict diet to control weight” as the behaviors to display. Select the four boxes available inside “Amount or frequency” and both boxes inside “Sex”.)
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6) Similar to what you did in question 5, compare male and female stress-driven and non-stress-driven eaters for sugar-free soft-drinks. What patterns are there in this data? (Select “Sugar-free soft-drinks” as the food to display. Select the two boxes available inside “Amount or frequency” and both boxes inside “Sex”.)
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7) Continuing with our analysis of sex and eater type, compare male and female stress-driven and non-stress-driven eaters in terms of sleep. What patterns are there in this data? (Select “Sleeping” as the behavior to display. Select the three boxes available inside “Amount or frequency” and both boxes inside “Sex”.)
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8) What are potential issues with the survey method used to collect data from the adolescents in this study?
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9) Of the 9432 children in the original sample of the Northern Finland Birth Cohort 1986 (NFBC1986), 74% provided data at age 16 on stress-related eating behaviors used in this study. Based on this information, what should we take into consideration when interpreting the data?
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10) Based on what you’ve learned from the data explored in this applet and the readings in the chapter on stress and health, what would be the best conclusion we can reach regarding the relationship between sex and eater type on various behaviors?
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