Developing a questionnaire for diabetes mellitus type 2 risk effects and precondition factors – multivariate statistical paths

Abstract

Abstract The primary purpose of the present study is to summarize and explain the results of a questionnaire about diabetes mellitus type 2 (DMT2) endangered individuals. The 275 participants (age between 21 and 76 years) answered 18 questions related to the possible danger of DMT2 disorder. Multivariate statistical methods – cluster analysis, factor and principal components analysis applied for the survey analysis. The final goal was to detect similarity patterns between the variables of interest (questions), to reveal hidden factors regulating the data structure and susceptibility to DMT2 among the participants or between them, to elucidate the health status of the different groups and the similarities within the groups. It was found that five hidden factors regulate the data structure, which are conditionally named “declined general health status”; “metabolic syndrome factor”; “smoking, alcohol abuse and stress factor”; “heredity and sex impact”; “healthy food” impact. The participants could be divided into four similarity patterns, each with probably different susceptibility to DMT2. Thus, the results of the questionnaire could be of use for prophylactic purposes.