[Multiple correspondence analysis on multiple metabolic abnormalities and family history in adults]

To investigate the relationship between phenomenon of aggregation on multiple metabolic abnormalities and their family history.

A random cluster sampling was carried out to study the phenomenon of multiple metabolic abnormalities among the adult inhabitants in a county of Henan province. Questionnaire, physical examination and biochemical tests were admitted. Multiple correspondence analyses were used to explore the aggregation of multiple metabolic abnormalities among objects including hyperlipidemia, diabetes, coronary heart disease etc. Corresponding relationships between objects and their parents on multiple metabolic abnormalities were also analyzed.

In total, 3901 people were investigated including 1428 (36.6%) males and 2473 (63.4%) females. The mean age of them was 32.8±6.3. Data showed that the Cronbach's α were 0.547 and 0.387 while Eigen values were 1.971 and 1.535 in two dimensions, regarding the correspondence analysis on their parents' multiple metabolic abnormalities. Cronbach's α levels were 0.598 and 0.457 together with Eigen values as 2.263 and 1.743 in two dimensions on the correspondence analysis of the objects' and their parents' multiple metabolic abnormalities. Results from Multiple correspondence analysis diagrams showed that there was an aggregation of variety metabolic abnormalities in both objects and their parents but not between objects and their parents or between fathers and mothers, though χ2 test showed a weak correlation between some of the categories. The ranges of contingency coefficients between metabolic abnormalities were 0.04 to 0.11, 0.04 to 0.08 and 0.04 to 0.11 between parents, objects and fathers, objects and mothers, respectively. When compared with simple obesity, the central obesity aggregated appeared more obviously with other metabolic abnormalities.

Both objects and their parents showed an aggregation of variety metabolic abnormalities. Aggregation of central obesity showed more obvious on other metabolic abnormalities than the simple obesity. Family histories of metabolic abnormalities played a moderate role in the generations suffering from multiple metabolic abnormalities.