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Medicineworld.org: Why do statistics about overweight and obesity differ?

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Why Do Statistics About Overweight And Obesity Differ?

Why do statistics about overweight and obesity differ?
The definitions or measurement characteristics for overweight and obesity have varied over time, from study to study, and from one part of the world to another. The varied definitions affect prevalence statistics and make it difficult to compare data from different studies. Prevalence refers to the total number of existing cases of a disease or condition in a given population at a given time. Some overweight- and obesity-related prevalence rates are presented as crude or unadjusted estimates, while others are age-adjusted estimates. Unadjusted prevalence estimates are used to present cross-sectional data for population groups at a given point or time period. For age-adjusted rates, statistical procedures are used to remove the effect of age differences in populations that are being compared over different time periods. Unadjusted estimates and age-adjusted estimates will yield slightly different values.

Prior studies in the United States have used the 1959 or the 1983 Metropolitan Life Insurance tables of desirable weight-for-height as the reference for overweight.[3] More recently, a number of Government agencies and scientific health organizations have estimated overweight using data from a series of cross-sectional surveys called the National Health Examination Surveys (NHES) and the National Health and Nutrition Examination Surveys (NHANES). The National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC) conducted these surveys. Each had three cycles: NHES I, II, and III spanned the period from 1960 to 1970, and NHANES I, II, and III were conducted in the 1970's, 1980's, and early 1990's. Since 1999, NHANES has become a continuous survey.

A number of reports in the literature use a statistically derived definition of overweight from NHANES II (1976-1980). This definition (based on the gender-specific 85th percentile values of BMI for 20 to 29 year olds) is a BMI greater than or equal to (>) 27.3 for women and 27.8 for men. NHANES II further defines "severe overweight" (based on 95th percentile values) as BMI > 31.1 for men and BMI > 32.2 for women.[4] Some studies round these numbers to a whole number, which affects the statistical prevalence. In 1995, the World Health Organization recommended a classification for three "grades" of overweight using BMI cutoff points of 25, 30, and 40.[5] The International Obesity Task Force suggested an additional cutoff point of 35 and slightly different terminology.[6].

The expert panel convened by NHLBI and NIDDK released a report in June 1998, that provided definitions for overweight and obesity similar to those used by the World Health Organization. The panel identified overweight as a BMI > 25 to less than (<)30, and obesity as a BMI > 30. These definitions, widely used by the Federal government and increasingly by the broader medical and scientific communities, are based on evidence that health risks increase more steeply in individuals with a BMI > 25.

BMI cutoff points are a guide for definitions of overweight and obesity and are useful for comparative purposes across populations and over time; however, the health risks associated with overweight and obesity are on a continuum and do not necessarily correspond to rigid cutoff points. For example, an overweight individual with a BMI of 29 does not acquire additional health consequences associated with obesity simply by crossing the BMI threshold > 30. However, health risks generally increase with increasing BMI.



Posted by: JoAnn    Source




Did you know?
The definitions or measurement characteristics for overweight and obesity have varied over time, from study to study, and from one part of the world to another. The varied definitions affect prevalence statistics and make it difficult to compare data from different studies. Prevalence refers to the total number of existing cases of a disease or condition in a given population at a given time. Some overweight- and obesity-related prevalence rates are presented as crude or unadjusted estimates, while others are age-adjusted estimates. Unadjusted prevalence estimates are used to present cross-sectional data for population groups at a given point or time period. For age-adjusted rates, statistical procedures are used to remove the effect of age differences in populations that are being compared over different time periods. Unadjusted estimates and age-adjusted estimates will yield slightly different values.

Medicineworld.org: Why do statistics about overweight and obesity differ?

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