Using the sequenced sample cluster analysis to study the body mass index distribution characteristics of adults in different age groups and genders / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 821-825, 2018.
Article
in Zh
| WPRIM
| ID: wpr-738053
Responsible library:
WPRO
ABSTRACT
Objective: To explore the characteristics of distribution on Chinese adult body mass index (BMI) in different age groups and genders and to provide reference related to obesity and related chronic diseases. Methods: Data from the China Health and Nutrition Survey in 2009 were used. Sequential sample cluster method was used to analyze the characteristics of BMI distribution in different age groups and genders by SAS. Results: Our results showed that the adult BMI in China should be divided into 3 groups according to their age, as 20 to 40 years old, 40 to 65 years old, and> 65 years old, in females or in total when grouped by difference of 5 years. For groupings in male, the three groups should be as 20 to 40, 40 to 60 years old and>60 years old. There were differences on distribution between the male and female groups. When grouped by difference of 10 years, all of the clusters for male, female and total groups as 20-40, 40-60 and>60 years old, became similar for the three classes, respectively, with no differences of distribution between gender, suggesting that the 5-years grouping was more accurate than the 10-years one, and BMI showing gender differences. Conclusions: BMI of the Chinese adults should be divided into 3 categories according to the characteristics of their age. Our results showed that BMI was increasing with age in youths and adolescents, remained unchanged in the middle-aged but decreasing in the elderly.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Body Mass Index
/
China
/
Sex Factors
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Nutrition Surveys
/
Sex Distribution
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Age Distribution
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Asian People
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Obesity
Limits:
Adolescent
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Adult
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Aged
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Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
Zh
Journal:
Chinese Journal of Epidemiology
Year:
2018
Type:
Article