[Analysis on detection status of cardio-metabolic related risk factors in women aged 15-49 years in 15 provinces in China].

Objective: To analyze the prevalence, co-prevalence of cardiovascular metabolic (CM) risk factors in women aged 15-49 years in China, and describe the influence of social economic factors on them. Methods: The project data of Nutritional Status and Health Transition of Chinese Residents in 2015 were used. The changes in epidemiological characteristics of central obesity, elevated blood pressure, FPG and TG, decreased HDL-C and co-prevalence of the risk factors in women aged 15-49 years were analyzed. According to the definition of the metabolic syndrome released by the International Diabetes Federation in 2005, five cardio-metabolic risk factors appeared as central obesity, increased triglycerides, decreased HDL-C, increased blood pressure and increased plasma glucose. Co-prevalence of risk factors was defined as detecting 2 or more risk factors in a person at the same time. Multivariate logistic regression model was used to analyze the relationship between socioeconomic factors and metabolic risk factors. Results: In 2015, in women aged 15-49 years in 15 provinces, the detection number (rates) of central obesity, elevated blood pressure, FPG and TG, decreased HDL-C, at least one CM risk factor and co-detection rate of CM risk factors were 944 (47.4 % ), 464 (23.3 % ), 123 (6.2 % ), 327 (16.4 % ), 1 025 (51.5 % ), 1 501 (75.4 % ), and 874 (43.9 % ), respectively. Compared with women aged 15-19 years, the women in age group of 25-, 30-, 35-, 40-, and 45-49 years were more likely to have central obesity ( P <0.05), the women in age group of 30- 35-, 40-, and 45-49 years were more likely to have elevated blood pressure ( P <0.05), the women aged 45-49 years were more likely to be affected by one or more CM risk factors ( P <0.05), but the women in age group 25-29 years group had lower risk for elevated FPG ( P <0.05). The odds of having central obesity, elevated blood pressure, FPG and TG, decreased HDL-C, at least one CM risk factor and co-prevalence of CM risk factors in women with BMI≥24.0 kg/m(2) were 14.16, 3.05, 2.46, 2.49, 2.42, 9.79 and 7.39 times higher than those in the women with BMI of 18.5-24.0 kg/m(2), respectively. The odds of having elevated FPG and TG in women aged 15-49 years in western China and the odds of having elevated blood pressure and FPG in women aged 15-49 years in eastern China were significantly higher than those in central China. No significant correlations were found between the prevalence and co-prevalence of CM risk factors and income level or urban and rural area residences in women aged 15-49 years. Conclusions: Age, BMI level and living area were the major influencing CM risk factors. The precise prevention and control measures should be taken in time for the adverse changes in CM risk factor prevalence.