Obesity – Our World In Data

https://ourworldindata.org/obesity/

Malnutrition can arise in three forms:

  • hunger and undernourishment, which is defined as dietary energy intakes below the minimum levels necessary to achieve and maintain a healthy weight;
  • micronutrient deficiency, which is defined as a lack of essential vitamins and minerals required in small amounts by the body for proper growth and development;
  • obesity or overnourishment, which is defined as dietary energy intake which exceeds requirements for maintenance of a healthy bodyweight.

This data entry focuses on obesity; our entries on undernourishment and micronutrient deficiency can be found at the links above.

I. Empirical view

I.1 Global maps of the obesity prevalence

Global map of obesity prevalence in females

Global map of obesity prevalence in males

I.2 Global maps of the prevalence of overweight or obese individuals

Global map of the prevalence of overweight or obese women

Global map of the prevalence of overweight or obese men

I.3 Changes in weight distributions through time

Weight categories in females, by country

Weight categories in males, by country

I.4 Mean Body Mass Index (BMI), by country

Mean Body Mass Index (BMI) in adult women

Mean Body Mass Index (BMI) in adult men

II. Correlates, Determinants & Consequences

II.1 Prevalence of obesity versus daily supply of calories

III. Data Quality & Definition

III.1 How do we measure obesity in adults?

The most common metric used for assessing the prevalence of obesity is the body mass index (BMI) scale. The World Health Organization define BMI as: “a simple index of weight-for-height that is commonly used to classify underweight, overweight and obesity in adults. It is defined as the weight in kilograms divided by the square of the height in metres (kg/m2). For example, an adult who weighs 70kg and whose height is 1.75m will have a BMI of 22.9.”1

Measured BMI values are used to define whether an individual is considered to be underweight, healthy, overweight or obese. The WHO defines these categories using the cut-off points in the table below. For example, an individual with a BMI between 25.0 and 30.0 is considered to be ‘overweight’; a BMI greater than 30.0 is defined as ‘obese’.2

III.2 How do we measure obesity in children and adolescents?

The metric for measuring bodyweight in children and adolescents is also the body mass index (BMI) scale, measured in the same way described above. However, interpretation of BMI scores is treated differently for children and adolescents. Whilst there is no differentiation of weight categories in adults based on sex or age, these are important factors in the body composition of children. Factors such as age, gender and sexual maturation affect the BMI of younger individuals. For interpretation of individuals between the ages of 2 and 20 years old, BMI is measured relative to peers of the same age and gender, with weight classifications judged as shown in the table below3:

The merits of using BMI as an indicator of body fat and obesity are still contested. A key contention to the use of BMI indicators is that it provides a measure of body mass/weight rather than providing a direct measure of body fat. Whilst physicians continue to use BMI as a general indicator of weight-related health risks, there are some cases where its use should be considered more carefully4:

  • muscle mass can increase bodyweight; this means athletes or individuals with a high muscle mass percentage can be deemed overweight on the BMI scale, even if they have a low or healthy body fat percentage;
  • muscle and bone density tends to decline as we get older; this means that an older individual may have a higher percentage body fat than a younger individual with the same BMI;
  • women tend to have a higher body fat percentage than men for a given BMI.

Physicians must therefore evaluate BMI results carefully on a individual basis. Despite outlier cases where BMI is an inappropriate indicator of body fat, its use provides a reasonable measure of the risk of weight-related health factors across most individuals across the general population.

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