Skip to content
Skip to main content

About this free course

Download this course

Share this free course

Exploring health: is your lifestyle really to blame?
Exploring health: is your lifestyle really to blame?

Start this free course now. Just create an account and sign in. Enrol and complete the course for a free statement of participation or digital badge if available.

4 Weaknesses of the Body Mass Index

The BMI is just a measure of weight relative to height, and as such is very much an imperfect health metric. For example, a very muscular person may weigh more because muscle is denser than fat. So they may have a higher BMI than someone who has less muscle but is the same height. You will explore this further below. It is not a person’s high BMI per se that should cause concern so much as an unhealthy diet and lack of physical activity, as these factors are the leading causes of the major non-communicable diseases, such as diabetes and cardiovascular disease (WHO, 2004).

Researchers have also questioned the representativeness of BMI as a health measure:

Primarily derived from data obtained on Anglo-Saxon populations, the generalizability and applicability of the BMI and its cut-off points to other populations has been questioned and its sensitivity as a measure of excess fat queried.

(Eknoyan, 2008, p. 48)

Activity 3 BMI categories explored

Timing: Allow about 15 minutes

Part A

Use the BMI chart in Figure 4 to identify into which category (i.e. ‘underweight’, ‘healthy weight range’, ‘overweight’, ‘obese’ or ‘morbidly obese’) each of the three people below fit. ‘Underweight’ is shown in green; ‘healthy weight range’ in blue; ‘overweight’ in white; ‘obese’ in orange; and ‘morbidly obese’ in purple. (If you would like to access a larger version of the image click on ‘View larger image’.)

Described image
Figure 4 BMI chart
Name Height (cm) Weight (kg)
Kaya 166 85
Bradley 158 86
Amber 171 90

a. 

underweight: 2


b. 

healthy weight range: 18.5–25 kg/m2


c. 

overweight: 25–30 kg/m2


d. 

obese: 30–40 kg/m2


e. 

morbidly obese or severely obese: >40 kg/m2


The correct answer is d.

a. 

underweight: 2


b. 

healthy weight range: 18.5–25 kg/m2


c. 

overweight: 25–30 kg/m2


d. 

obese: 30–40 kg/m2


e. 

morbidly obese or severely obese: >40 kg/m2


The correct answer is d.

a. 

underweight: 2


b. 

healthy weight range: 18.5–25 kg/m2


c. 

overweight: 25–30 kg/m2


d. 

obese: 30–40 kg/m2


e. 

morbidly obese or severely obese: >40 kg/m2


The correct answer is d.

Comment

Each of the people fall into the obese category. Kaya and Amber each have a BMI around 31 kg/m2, while Bradley has a BMI around 34 kg/m2. Based purely on their BMI you might assume that they are in poor health, but this would not be accurate, as each person would have been on peak form at this weight in order to compete in the 2016 Rio Olympic Games:

  • Kaya Salman represented Turkey in athletics
  • Bradley Edward Tandy represented South Africa in swimming
  • Amber Campbell represented the United States in athletics.

To see how your height and weight compares to an Olympian’s, you can check out this tool from the BBC: Who is your Olympic body match? [Tip: hold Ctrl and click a link to open it in a new tab. (Hide tip)]

Described image
Figure 5 Bradley Edward Tandy
Described image
Figure 6 Amber Campbell

Part B

Watch this brief video where people describe what a healthy body looks like and are asked to offer advice to Bradley and Amber, who according to their BMI are obese.

Download this video clip.Video player: Video 1
Copy this transcript to the clipboard
Print this transcript
Show transcript|Hide transcript
Video 1
Interactive feature not available in single page view (see it in standard view).

What can you conclude about the health of Kaya, Bradley and Amber, as a result of determining their BMI?

To use this interactive functionality a free OU account is required. Sign in or register.
Interactive feature not available in single page view (see it in standard view).

Comment

Very little can actually be determined about their health based on their BMI. One would assume, by virtue of being Olympians, that they are in very good health. As such it is fair to say that BMI is not an especially valid measure of health, but it is often used as a proxy measure, in other words a ‘rough tool’ to determine whether a person is overweight or obese.

Part C

Now you are invited to consider your own BMI.

1. Without using the BMI chart, estimate which weight category you think you are likely to be in. Remember, the categories are ‘underweight’, ‘healthy weight range’, ‘overweight’, ‘obese’ and ‘morbidly obese’.

To use this interactive functionality a free OU account is required. Sign in or register.
Interactive feature not available in single page view (see it in standard view).

Comment

Based on the results presented in Figure 3 (and if you are living in England) almost two-thirds of adults are categorised as obese or overweight.

2. Use the BMI chart in Figure 4 to determine your BMI. Use this link from the NHS to identify your weight category. Comment on whether or not the results surprise you and why that is.

To use this interactive functionality a free OU account is required. Sign in or register.
Interactive feature not available in single page view (see it in standard view).

Comment

Was it straightforward to accurately establish your current weight (which is not easy to do if you do not have access to scales) and height (which reduces slightly as we age)? Were you surprised by your BMI result? Or did your BMI result confirm what you already estimated in Part C, Question 1? For further details about BMI you can read this information from the NHS.

Despite widespread recognition among policymakers and public health agencies that BMI is a crude measure, the ease and convenience of its use make it a popular and widely used metric. So even though it is far from perfect, BMI is still frequently used. Quantitative researchers use BMI in health research, as well as other measures, to describe patterns and trends (e.g. in terms of life expectancy, poverty and physical activity levels) among certain population groups. This is helpful in terms of establishing which population groups require more assistance. For example, a study led by researchers at The Open University, found that there were no significant differences in terms of BMI between sexual and gender minority young males when they were compared to heterosexual cisgender (i.e. non-transgender) males in a nationally representative sample of secondary school students in New Zealand (Lucassen et al., 2019). While almost half of the sexual and gender minority young females in the same study were overweight or obese, and they were significantly more likely to be overweight or obese compared to heterosexual cisgender females (Lucassen et al., 2019). Quantitative research is therefore helpful in terms of not only making visible and defining health and social care problems (as well as exploring inequalities between groups), but also in shaping what policymakers do in response to these problems.