[Non-linear canonical correlation analysis between anthropometric indicators and multiple metabolic abnormalities].
OBJECTIVE
To define the general correlation between anthropometric indicators and multiple metabolic abnormalities, and to put forward some particular suggestions for the prevention of multiple metabolic abnormalities.


METHODS
A random cluster sampling was carried out in one county of Henan Province. Questionnaire, physical examination and biochemical tests were admitted to the adult inhabitants. Non-linear canonical correlation analysis (NLCCA) was applied with OVERALS of SPSS 13.0. The coefficients of canonical correlation and multiple correlation were calculated. The plot of centroids labeled by variables showed the correlation among various indicators.


RESULTS
In total, 2,914 objects were investigated. It included 1,134 (38.9%) males and 1,780 (61.1%) females (60.0%). The average age was (50.58 +/- 13.70) years old. The fitting result of NLCCA were as follows: the loss of 0.577 accounting for 28.8% of the total variation was relatively small, and indicated that the two sets of variables of this study, namely sets of biochemical indicators (including serum total cholesterol, total triglyceride, high-density lipoprotein cholesterol, low density lipoprotein cholesterol and fasting plasma glucose) and sets of others (including gender, BMI and waist circumference) were closely related and often changed synchronously. Multivariate correlation coefficient showed that internal indicators of the above two sets were closely related respectively and often showed the multiple anomalies of the same set. The diagram of the center of gravity of the association of various indicators showed that the symptoms of metabolic abnormalities increased with age. Women were more liable to have metabolic abnormalities. Overweight and obese people often suffer multiple metabolic disorders. Waist circumference was positively correlated with metabolic abnormalities.


CONCLUSIONS
(1) Biochemical indicators and anthropometric often change in combination. (2) Much attention should be paid to older people especially middle-aged or older men and older women in primary prevention. (3) Overweight and abdominal obesity can be considered the sensitive predictive indicator of multiple metabolic abnormalities. (4) Nonlinear canonical correlation and center of gravity Figure had the advantage of analyze the correlation between multiple sets of variables.
College of Public Health, Zhengzhou University, Zhengzhou 450001, China. fuxiaoli@zzu.edu.cn
Xiaoli
X
Fu
Li
L
Liu
Zhiguang
Z
Ping
Linlin
L
Li
D000293:Adolescent; D000328:Adult; D000368:Aged; D000886:Anthropometry; D001786:Blood Glucose / Q000032:analysis; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D001837:Body Weights and Measures; D002681:China; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D008659:Metabolic Diseases / Q000175:diagnosis; D024821:Metabolic Syndrome / Q000209:etiology / Q000517:prevention & control*; D008875:Middle Aged; D017711:Nonlinear Dynamics; D012307:Risk Factors; D012494:Sampling Studies; D011795:Surveys and Questionnaires; D055815:Young Adult
D001786:Blood Glucose; D008055:Lipids