Obesity and asthma are important health issues and a positive association between them has been reported [1–3]. However, the reports were mainly based on school-age children and there are few reports to identify this associate among elderly people, especially Chinese elderly people. We aimed to assess the consistency of the association among Chinese people aged 60 and over through a cross-sectional study of 6283 participants. Data for this study came from 2013 follow-up survey of the China Health and Retirement Longitudinal Study (CHARLS) , run by the National School for Development (China Center for Economic Research). Samples of households with members aged 45 and above were chosen through multistage probability sampling from 30 provinces in China, which included a mix of urban and rural settings and a wide variety of levels of economic development. In this study, we limited our samples to the respondents who were over 60 and completed physical examination. Self-reported data on asthma was obtained by the question, ‘have you been diagnosed with asthma by a doctor?’. Asthma prevalence was 6.1% inmale and 4.3% in female. Of the remaining 6283 respondents, the mean age was 68.21± 6.70 and 3158 (50.3%) respondents weremale. 19.0% of the respondents received at least junior high school education and 77.9% of them living in rural area. The proportions of respondents living in eastern, middle, western region of China were 36.8, 36.8 and 26.5%, respectively. 68.2% of the respondents never drank alcohol, while 24.7% drank more once a month. As for smoking, 54.2% of the respondents never smoked and 8.5% of them quit smoking. The proportion of normal weight was the largest, at 61.5%, followed by that of overweight at 25.6%. 8.2% of respondents were underweight and 4.7% of them were obesity. The association between obesity and asthma was examined using logistic regression analyses. Asthma or not (1= asthma, 0=without asthma) was dependent variable; body mass index (BMI) was used to assess obesity and was included as independent variable. In addition, age, gender, education level, community type and geographic location were also included as independent variables. As shown in Table 1, women with BMI over 30 kg/m was 2.186 times more likely to suffer from asthma (P b 0.05), while there was no statistically significant difference among men. Except for BMI, living in western China where the economic development was relatively less developed and a smoking history could increase the possibility of asthma in women; drinking alcohol more than once a month and smoking might increase that of men. Both men and women in their 70s had higher possibility of asthma.