1.Influence of school-level factors and anxiety on injury-prone children
PAN Minyi, LIAO Haining, LIN Shunwei, ZHU Xuhao, ZHOU Shudong
Chinese Journal of School Health 2019;40(4):559-562
Objective:
To understand the characteristics of injuries among rural children, and to determine the relationships between school-level factors with anxiety among injury-prone children, to provide a reference for making effective measures to prevent and control the injuries.
Methods:
A cross-sectional survey was conducted in the Qingxin District of Qingyuan City. Six primary schools and middle schools were randomly selected from two towns. A total of 5 250 students in grades 3-9 were investigated. Students filled out the questionnaire themselves. Screen for Child Anxiety Related Emotional Disorders (SCARED) was used to assess anxiety.
Results:
Among the 770 rural children who suffered injuries during the past year, the leading cause of injury was falling(44.62%), falling at home(29.61%), getting injuried in low limbs(29.45%), getting injuried by oneself (41.00%) and mainly unintentional injuries(68.66%) . About 35.06% of children reported anxiety symptoms. Approximately 14.94% of children were injury-prone type. Significant differences in educational stage, boarding school, fighting involvement, and somatization/panic between injury-prone children were found in control group(P<0.05). The robust Poisson-GEE model showed that primary school students in high grade and middle grade, fighting with classmates, somatic/panic associated with injury risk (PR value was 2.11, 1.75, 1.58 and 1.58, respectively).
Conclusion
Injury-prone children in rural are affected by school-level factors as well as anxiety symptoms. In addition to safety education, mental health promotion and prevention of school bullying should be adopted in schools.
2.Association of compound hot extreme with blood pressure in Guangdong province
Zhixing LI ; Shunwei LIN ; Xiaojun XU ; Ruilin MENG ; Guanhao HE ; Jianxiong HU ; He ZHOU ; Weilin ZENG ; Xing LI ; Jianpeng XIAO ; Tao LIU ; Wenjun MA
Journal of Environmental and Occupational Medicine 2022;39(3):247-252
Background It is projected that the frequency, density, and duration of compound hot extreme may increase in the 21st century in the context of global warming. Objective To explore the association between compound hot extreme and blood pressure, and identify sensitive populations. Methods This was a cross-sectional study. The study subjects were from six Guangdong Province Chronic Disease and Nutrition Surveys during 2002 through 2015. A questionnaire was administered to the participants with questions about demographic information, drinking and smoking status, and measurements on their height, weight, and blood pressure were also collected. We chose the data of May, September, and October to explore the association between compound hot extreme and blood pressure. Compound hot extreme means a hot day with a proceeding hot night. Daily meteorological data were obtained from China Meteorological Data Service Centre. We employed inverse distance weighting to interpolate the temperature and relative humidity values for each participant. A distributed lag non-linear model was used to estimate the association between compound hot extreme and blood pressure. Stratified analyses by sex, age, area, body mass index (BMI), smoking status, and drinking status were also performed to identify sensitive populations. A sensitivity analysis was conducted by adjusting the degrees of freedom for lag spline and removing relative humidity. Result A total of 10967 participants without history of hypertension were included in this study. The average systolic blood pressure (SBP) was 120.8 mmHg and the average diastolic blood pressure (DBP) was 74.5 mmHg. The proportion of participants who experienced hot day, hot night, or compound hot extreme were 9.34%, 17.95% and 2.90%, respectively. Compared to hot day, hot night and compound hot extreme were related with decreased blood pressure, and the effect of compound hot extreme was stronger: the changes and 95%CI for SBP was −6.2 (−10.3-−2.1) mmHg, and for DBP was −2.7 (−5.2-−0.2) mmHg. Compound hot extreme induced decreased SBP among male, population ≥ 65 years, and those whose BMI < 24 kg·m-2, and their ORs (95%CIs) were −6.2 (−10.7-−1.6). −19.1 (−33.0-−5.1), and −6.7 (−11.8~−1.6) mmHg, respectively, and also decreased DBP among population ≥ 65 years, and its OR (95%CI) was −8.4 (−15.6-−1.1) mmHg. During compound hot extremes, participants living in rural areas showed decreased SBP and DBP, and the ORs (95%CIs) were −10.5 (−16.6-−4.5) and −4.4 (−7.7-−1.1) mmHg respectively, while those living in urban areas showed increased SBP, and the OR (95%CI) was 9.7 (2.9-16.5) mmHg. A significant decrease in blood pressure [OR (95%CI)] was also found in non-smokers [DBP, −3.7 (−6.6-−0.8) mmHg] and non-drinkers [SBP, −4.8 (−9.4-−0.2) mmHg; DBP, −3.4 (−6.0-−0.9) mmHg]. Conclusion Compound hot extreme is negatively associated with SBP, and being male, aged 65 years and over, and having BMI < 24 kg·m−2 may be more sensitive to compound hot extreme.