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      • The Canadian Guidelines for Body Weight Classification in Adults uses the body mass index and waist circumference as indicators of health risk. This classification system is aligned with the World Health Organization's (WHO) recommendations widely adopted internationally. This classification system is derived from population data.
  1. The Canadian Guidelines for Body Weight Classification in Adults uses the body mass index and waist circumference as indicators of health risk. This classification system is aligned with the World Health Organization's (WHO) recommendations widely adopted internationally.

  2. The Guidelines describe a body weight classification system used to identify health risks associated with body weight in individuals and in populations. They are aligned with the World Health Organization's recommendations widely adopted internationally.

  3. Description of the body weight classification system. Q1: What is the classification system? A: The system is a tool used to identify health risks associated with body weight in individuals and in populations. The system uses two measures: the body mass index (BMI) and the waist circumference (WC).

  4. The weight classification system provides a scheme for categorizing health risk according to body weight, as measured by body mass index (BMI), and level of abdominal fat, as measured by waist circumference (WC).

  5. The Guidelines describe a body weight classification system used to identify health risks associated with body weight in individuals and in populations.

  6. Intended for health professionals, researchers, and educators, it explains the rationale for the cut-offs selected and discusses issues related to age, ethnicity and race, and factors such as fitness and diet. Appendices include references, body mass index nomogram, and the 2000 WHO and 1988 Canadian classification systems.

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  8. Incorporating BMI and waist cir-cumference into an overall risk assessment: The BMI and waist circumference classifications are derived from health risk assess-ments in large, heterogeneous populations, and consequently.

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