Analysis On Risk Factors And Family Aggregation Of Metabolic Syndrome

Objective:To explore the risk factors and family aggregation of metabolic syndrome, and provide guidance suggestion for making prevent measure for metabolic syndrome and the home-based prevent measure.Methods:By case-control study,150 cases and 150 controls from people who taked medical examinations in Wang Dingdi hospital in the Nankai District of Tianjin from January to July in 2009 were selected as prohands. Use questionnaires, laboratory examinations, and medical examinations to collect information from the cases and controls and their family members.Results:1. The case and control groups had significant differences in education, per capita income, per capita expenditure on diet, smoking statu, alcohol consumption statu, physical activity level, physical exercise, regular meals, per capita oil consumption, per capita salt consumption, the amount of vegetables per day, the amount of fruit per day, monthly intake frequency of meat and the products, body mass index, waist-to-hip ratio, interpersonal, adaptability(P<0.05). No significant differences were found between the case and control groups in regular breakfast, taste, the amount of staple food per day, monthly intake frequency of poultry and the products, seafood, eggs, beans and the products, dairy and the products, coffee intake, dietary and the products, sleep quality, weight change, personal stress, family relationships, personality, emotions, trauma.2. Multivariate Logistic regression analysis of the factor scores showed that the factor 1 (poor family relationships, poor adaptability, poor interpersonal relationships, less amount of vegetables per day), the factor 4 (higher per capita expenditure on food, higher per capita monthly income), the factor 6 (widowed, low educational level), the factor 8 (smoking, drinking, sweet/salty eating tastes), the factor 9 (heavier personal stress, poor sleep quality, get weight) were risk factors of metabolic syndrome; the factor 3 (regular meals), the factor 5 (do physical exercise, higer physical activity level), the factor 7 (higher monthly intake frequency of dairy and the products, less amount of staple food per day), the factor 10 (lower body mass index, lower waist-to-hip ratio) were protective factors of metabolic syndrome.3. Exclude the probands, significant differences were found between the family members of the case and control groups in the prevalence of overweight/obesity, hypertension, dyslipidemia, metabolice syndrome (P<0.05), no significant differences were found between the family members of the case and control groups in the prevalence of high fasting glucose. Among them, significant differences were found between the spouses of the case and control groups in the prevalence of overweight/obesity, hypertension, dyslipidemia, metabolice syndrome (P＜0.05), no significant differences wase found between the spouses of the case and control groups in the prevalence of high fasting glucose; significant differences were found between the offsprings of the case and control groups in the prevalence of dyslipidemia (P<0.05), no significant differences were found between the offsprings of the case and control groups in the prevalence of overweight/obesity, hypertension, high fasting glucose, metabolice syndrome. The prevalence of metabolic syndrome of family members of the case group was 22.31%, and the prevalence of metabolic syndrome of family members of the control group was 16.27%, the difference was statistically significant(P=0.035).The binomial distribution analysis showed the there was family aggregation in the occurrence of metabolic syndrome in the family members of prohands, compared theory cases with actual cases.4. Exclude the metabolic syndrome patients, significant differences were found between the family members of the case and control groups in the distribution of high risk population of metabolic syndrome(P<0.05). Among them, no significant differences were found between the spouses of the case and control groups in the distribution of high risk population of metabolic syndrome; significant differences were found between the offsprings of the case and control groups in the distribution of high risk population of metabolic syndrome (P<0.05).Conclusion:1. Metabolic syndrome could be prevented by keeping a healthy lifestyle, doing healthy physical activity, keeping healthy weight, keeping good interpersonal relationships and family relationship, and improving their ability to adapt to the environment. 2. The prevalence of metabolic syndrome was higher in family members of the case group. There was family aggregation of metabolic syndrome.