Prevalence of Thyroid Nodules and Its Relationship with Iodine Status in Shanghai: a Population-based Study / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>This study was designed to evaluate the prevalence of thyroid nodules (TNs) and its relationship with urine iodine concentrations (UICs) after the regional rapid economic growth and lifestyle changes.</p><p><b>METHODS</b>A cross-sectional survey was conducted in the general population aged 15-69 years. A questionnaire regarding general and personal characteristics and relevant information was administered. Ultrasonography of the thyroid was performed, and serum triiodothyronine (T3), tetraiodothyronine (T4), serum thyroid stimulating hormone (TSH), free triiodothyronine (FT3), free tetraiodothyronine (FT4), thyroglobulin antibody (TgAb), thyroid peroxidase antibody (TPOAb), and TSH receptor antibody (TRAb) levels were measured for each individual subject.</p><p><b>RESULTS</b>The prevalence rates of TNs in the whole population, females and males were 27.76%, 34.04%, and 21.60%, respectively. The prevalence of multiple nodules increased with age, whereas the prevalence peaks differed between males and females. The median UICs in the whole population and females with non-TNs were higher than those of subjects with TNs (P=0.0035, P=0.0068). The median UICs in subjects with a single TN were higher than those in subjects with multiple TNs (P=0.0164, P=0.0127). The result showed a U-shaped curve relationship between UIC and prevalence of TNs. The prevalence of TNs was the lowest when the UIC was 140-400 μg/L.</p><p><b>CONCLUSION</b>The prevalence of TNs was nearly 30% and increased with age. The relationship between UIC and prevalence of TNs is U-shaped, with an increase in risk when the UIC was <140 μg/L and >400 μg/L. Very low or high UIC levels need attention and correction.</p>

Drinking Behavior and Associated Factors among Middle School Students in Shanghai, China / 生物医学与环境科学（英文）

The purpose of our study was to assess drinking status in middle school students and to understand the associated factors. The adjusted drinking rates were 50.9%, 39.8%, and 15.1% for lifetime, past-year, and current drinking, respectively. Multivariable logistic regression revealed the following variables positively related to drinking during the past year: family income, maternal educational level, family members who drink, parents who support drinking, best friends who drink, friends who encourage drinking, frequently attending friends' parties, smoking, and actuation trend (P<0.05). The main risk factors were friends (OR=6.77, 95% CI: 6.17, 7.43) and smoking (OR=4.70, 95% CI: 3.44, 6.43). These results contribute to obtaining the potential associated factors and aid in targeted intervention into the drinking behavior of middle school students.