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Question

Which of the following is not a method of Nutritional Status Assessment by anthropometry ?

The correct answer is
Blood Pressure

The question asks to identify which option is NOT a method used for assessing nutritional status via anthropometry.

Anthropometry in Nutritional Status Assessment

Anthropometry involves the scientific measurement of the human body, including size, proportion, and composition. In nutrition, it's crucial for assessing growth and nutritional status. Key anthropometric measurements help identify undernutrition, overnutrition, or specific nutrient deficiencies.

Evaluating Nutritional Assessment Methods

Let's examine the options provided:

  • MUAC (Mid-Upper Arm Circumference): This is a standard anthropometric measurement used to assess nutritional status, particularly for identifying moderate and severe acute malnutrition in children and adults.
  • Height: A fundamental anthropometric measurement used to assess linear growth. Stunting (low height-for-age) is a key indicator of chronic undernutrition.
  • Waist Circumference: This anthropometric measure helps assess central adiposity (fat around the waist). High waist circumference is linked to increased health risks, including those related to metabolic syndrome and obesity, which are aspects of nutritional status.
  • Blood Pressure: This measures the force of blood against artery walls. While influenced by diet and overall health, it is primarily a measure of cardiovascular function and is NOT a direct anthropometric measurement of body size or proportion related to nutritional status. It falls under physiological or clinical measurements.

Conclusion on Anthropometric Measurements

Based on the definitions, MUAC, Height, and Waist Circumference are direct anthropometric measurements used in nutritional status assessment. Blood Pressure is a physiological measurement and thus not an anthropometric method for assessing nutritional status.

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Important Questions from Measurement and Analysis of Data

  1. For the ANOVA table

    Source of variationsSum of squaresDegree of freedom
    Between treatment753
    Error4816
    Total12319

    the F - statistics is

  2. In a 3 races, 2 genders and 5 in each treatment group for two-way ANOVA, the degree of freedom for source of variation due to interaction, error and total respective are

  3. The Pearson's correlation coefficient between following observation

    X:1234
    Y:3421

    is -0.8. If each observation of X is halved and of Y is doubled, then Pearson's correlation coefficient equals to

  4. For the ANOVA table

    Source of variationsSum of squaresDegrees of freedom
    Between treatment453
    Error3216
    Total9919

    the F - statistics is:

  5. For the ANOVA, which of the following options is INCORRECT?

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