Obesity is a major lifestyle-related risk factor for several non-communicable diseases, including Type 2 diabetes and coronary heart disease.
Table 1 shows physiological data collected from two participants in a clinical trial monitoring metabolic health.
| Participant | Body mass in kg | Height in m | BMI in kg/m2\text{kg/m}^2kg/m2 |
|---|---|---|---|
| Subject Y | 74 | 1.55 | 30.8 |
| Subject Z | 91 | 1.76 | XXX |
Table 2 shows the clinical classification of Body Mass Index (BMI) and its corresponding risk level for Type 2 diabetes:
| BMI Range (kg/m2\text{kg/m}^2kg/m2) | BMI Category | Relative Risk of Type 2 Diabetes |
|---|---|---|
| Less than 18.5 | Underweight | Low |
| 18.5 to 24.9 | Normal | Average |
| 25.0 to 29.9 | Overweight | Increased |
| 30.0 to 39.9 | Obese | High |
| 40.0 or more | Clinically obese | Very high |
Determine the BMI category of Subject Y.
Calculate the value of XXX for Subject Z. Use the equation:
BMI=body massheight2\text{BMI} = \frac{\text{body mass}}{\text{height}^2}BMI=height2body mass
Give your answer to 3 significant figures.