OBJECTIVEBased on the 2002 WHO health survey data, to explore the latent relationship among self-reported health level, the actual level of health, the social demographic characteristics and the risk factors, and to analyze the influence of the various surveillance indicators on self-reported health and the degree that the self-reported health explained the actual level of health.

METHODSField tests for various components of the World health survey were conducted in nine countries during 2002, including India, Brazil, Burkina, Hungary, Nepal, Russia, Spain, Tunisia, and Vietnam (29 971). The survey questionnaire included a self-assessment component and anchoring vignette component. The self-assessment component data was adjusted and eliminated the affect of "cut-point bias" by using the anchoring vignette component data, and then was used to build the structural equation model on the relationship among self-reported health level, actual health level, social demographic characteristics and the risk factors.

RESULTSIn the final structural equation model, "the actual level of health" = 0.80 × "the self-reported health level" + (-0.04) × "the social demographic characteristics" + (-0.08) × "the risk factors" (R(2) = 0.66), and "the self-reported health level" = (-0.70) × "the social demographic characteristics" + 0.10 × "the risk factors" (R(2) = 0.55). The standardized total effect of self-reported health to the actual level of health was 0.80, and that of the social demographic characteristics to the self-reported health and the actual level of health were -0.70 and -0.60, respectively. And the 16 items of self-reported health consisted of 8 dimensions; and sorted by the power of impact to the actual health level, they were mobility, pain and discomfort, sleep, cognition, feelings, self-care ability, visual capacity and interpersonal activities.

CONCLUSIONThere were significant linear correlation relationship between the actual level of health and the self-reported health, as well as between the self-reported health and the social demographic characteristics. And the self-reported 16 items used by the 2002 WHO health survey played an important role in the health evaluation of population.

Demography ; Health Status ; Health Surveys ; Humans ; Models, Statistical ; Risk Factors ; Self Report ; Surveys and Questionnaires ; World Health Organization

Objective To construct a three-dimensional statistical shape model of the pelvis and analyze the individual variation and gender differences of the three-dimensional shape of the pelvis.Methods We collected CT data from 201 Chinese individuals and used deep learning to automatically reconstruct three-dimensional models of the pelvis.Through three-dimensional model registration,dense correspondence mesh mapping,and the use of statistical shape modelling(SSM)and principal component(PC)analysis method,we extracted models of variations(MoV)of pelvic shape changes and statistically compared the shape MoV between males and females.Results We analysed the top 10 principal components of shape variations,which accounted for 86.1％of the total variability.Among them,PC01,PC02,and PC04 showed significant differences between genders(P＜0.001),accounting for a total variability of 60.1％.PC08 and PC 10 demonstrated pelvic asymmetry,accounting for a total variability of 3.8％.Conclusion We constructed a three-dimensional statistical shape model of the pelvis in Chinese individuals,revealing the morphological variation and sex differences of Chinese pelvis.