Objective To determine the association between weight gain induced by atypical antipsychotic and the polymorphisms of MC4R gene rs12970134.Methods 62 patients who had weight gain more than 7% of their pre -drug body weight were selected as study group,and 62 patients who had weight gain less than 7% of their pre -drug body weight were selected as control group.The polymorphism of MC4R gene rs12970134 was analyzed by using polymerase chain reaction and directly sequencing technology.Results There were no significant differences in the frequency of MC4R gene rs12970134 genotypes and alleles between the two groups(χ2 =0.648,P =0.723;χ2 =0.679,P =0.410).While after the treatment with atypical antipsychotic,the weight gain degree in patients with GG genotypes was less than patients with GA /AA genotypes[(22.18 ±0.33)kg/m2 vs.(23.53 ±0.58)kg/m2 ](t =-2.167,P =0.032).Conclusion The polymorphisms of MC4R gene rs12970134 maybe affect the weight gain degree in patients after treatment with antipsychotic.

Objective: To investigate the association between obesity and insomnia among adults, so as to provide insights into obesity control and sleep health improvements among adult populations. Methods: Sixteen communities were randomly sampled from Longgang District, Shenzhen City using a multistage cluster sampling method, and permanent residents at ages of 18 years and older living in these communities were recruited as study subjects. Subjects' gender, age, educational level and marital status were collected using a self-designed questionnaire, and the body mass index ( BMI) was calculated. The sleep quality was evaluated using the Insomnia Severity Index ( ISI ), and the correlation between obesity and insomnia was evaluated using a multivariable logistic regression model. Results: A total of 10 434 questionnaires were allocated, and 9 425 valid questionnaires were recovered, with an effective recovery rate of 90.33%. The respondents included 3 448 men ( 36.58% ) and 5 977 women ( 63.42% ), and 6 940 respondents ( 73.63% ) were at ages of 18 to 44 years. There were 778 respondents with underweight ( 8.25% ), 5 522 with normal weight ( 58.59% ), 2 209 with overweight ( 23.44% ) and 916 with obesity ( 9.72% ). Among all respondents, 1 149 respondents were detected with insomnia, with a detection rate of 12.19%, including 839 subjects with mild insomnia ( 8.90% ), 247 subjects moderate insomnia ( 2.62% ) and 63 subjects with severe insomnia ( 0.67% ). Multivariable logistic regression analysis showed a statistically significant correlation between obesity and insomnia ( OR=2.179, 95%CI: 1.824-2.603 ). Conclusions There is a significant correlation between obesity and insomnia. Body weight management and sleep health education shall be intensified among adults.