47. How can this data about body mass index (BMI) and fasting blood sugar (FBS) be interpreted?
Answer: B
A unit increase in BMI predicts an increase in FBS.
An increase in body mass index (BMI) is associated with a corresponding increase in fasting blood sugar (FBS). This relationship suggests that as a person's BMI rises, their fasting blood sugar levels may also elevate, indicating a potential risk for metabolic issues.
A) A unit increase in FBS predicts an increase in BMI.
This option incorrectly suggests that fasting blood sugar levels can predict changes in BMI. While FBS can be influenced by various factors, including weight, the data specifically indicates that changes in BMI are more predictive of changes in FBS rather than the reverse.
B) A unit increase in BMI predicts an increase in FBS.
This option accurately reflects the relationship between BMI and FBS, highlighting that higher BMI levels are associated with increased fasting blood sugar levels. This correlation is significant in understanding how weight management can impact metabolic health.
C) A unit decrease in BMI predicts an increase in FBS.
This statement contradicts the established relationship between BMI and FBS. A decrease in BMI is typically associated with improved metabolic health and lower fasting blood sugar levels, not an increase.
D) A unit decrease in FBS predicts an increase in BMI.
This option also presents an inaccurate interpretation of the data. Lower fasting blood sugar levels do not predict an increase in BMI; rather, they are often associated with better health outcomes, including weight loss or maintenance.
Conclusion
The correct answer, that a unit increase in BMI predicts an increase in FBS, is supported by the data indicating a direct relationship between weight and metabolic markers. The other options fail to accurately capture this relationship, making them incorrect interpretations of the data concerning BMI and fasting blood sugar levels.