PDF(Pubmed)
Abstract：
UNASSIGNED: To explore the relationship between body mass index (BMI), age, sex, and blood pressure (systolic blood pressure, SBP; diastolic blood pressure, DBP) in children during COVID-19, providing reference for the prevention and screening of hypertension in children.
UNASSIGNED: This study adopted a large-scale cross-sectional design to investigate the association between BMI and blood pressure in 7-17-year-old students in City N, China, during COVID-19. Thirty-six primary and secondary schools in City N were sampled using a stratified cluster sampling method. A total of 11,433 students aged 7-17 years in City N, China, were selected for blood pressure (Diastolic blood pressure, DBP, Systolic blood pressure, SBP), height, and weight, Resting heart rate (RHR), chest circumference, measurements, and the study was written using the STROBE checklist. Data analysis was conducted using SPSS 26.0, calculating the mean and standard deviation of BMI and blood pressure for male and female students in different age groups. Regression analysis was employed to explore the impact of BMI, age, and sex on SBP and DBP, and predictive models were established. The model fit was evaluated using the model R2.
UNASSIGNED: The study included 11,287 primary and secondary school students, comprising 5,649 boys and 5,638 girls. It was found that with increasing age, BMI and blood pressure of boys and girls generally increased. There were significant differences in blood pressure levels between boys and girls in different age groups. In regression models, LC, Age, BMI, and chest circumference show significant positive linear relationships with SBP and DBP in adolescents, while RHR exhibits a negative linear relationship with SBP. These factors were individually incorporated into a stratified regression model, significantly enhancing the model\'s explanatory power. After including factors such as Age, Gender, and BMI, the adjusted R2 value showed a significant improvement, with Age and BMI identified as key predictive factors for SBP and DBP. The robustness and predictive accuracy of the model were further examined through K-fold cross-validation and independent sample validation methods. The validation results indicate that the model has a high accuracy and explanatory power in predicting blood pressure in children of different weight levels, especially among obese children, where the prediction accuracy is highest.
UNASSIGNED: During COVID-19, age, sex, and BMI significantly influence blood pressure in children aged 7-17 years, and predictive models for SBP and DBP were established. This model helps predict blood pressure in children and reduce the risk of cardiovascular diseases. Confirmation of factors such as sex, age, and BMI provide a basis for personalized health plans for children, especially during large-scale infectious diseases, providing guidance for addressing health challenges and promoting the health and well-being of children.
UNASSIGNED: This study adopted a large-scale cross-sectional design to investigate the association between BMI and blood pressure in 7-17-year-old students in City N, China, during COVID-19. Thirty-six primary and secondary schools in City N were sampled using a stratified cluster sampling method. A total of 11,433 students aged 7-17 years in City N, China, were selected for blood pressure (Diastolic blood pressure, DBP, Systolic blood pressure, SBP), height, and weight, Resting heart rate (RHR), chest circumference, measurements, and the study was written using the STROBE checklist. Data analysis was conducted using SPSS 26.0, calculating the mean and standard deviation of BMI and blood pressure for male and female students in different age groups. Regression analysis was employed to explore the impact of BMI, age, and sex on SBP and DBP, and predictive models were established. The model fit was evaluated using the model R2.
UNASSIGNED: The study included 11,287 primary and secondary school students, comprising 5,649 boys and 5,638 girls. It was found that with increasing age, BMI and blood pressure of boys and girls generally increased. There were significant differences in blood pressure levels between boys and girls in different age groups. In regression models, LC, Age, BMI, and chest circumference show significant positive linear relationships with SBP and DBP in adolescents, while RHR exhibits a negative linear relationship with SBP. These factors were individually incorporated into a stratified regression model, significantly enhancing the model\'s explanatory power. After including factors such as Age, Gender, and BMI, the adjusted R2 value showed a significant improvement, with Age and BMI identified as key predictive factors for SBP and DBP. The robustness and predictive accuracy of the model were further examined through K-fold cross-validation and independent sample validation methods. The validation results indicate that the model has a high accuracy and explanatory power in predicting blood pressure in children of different weight levels, especially among obese children, where the prediction accuracy is highest.
UNASSIGNED: During COVID-19, age, sex, and BMI significantly influence blood pressure in children aged 7-17 years, and predictive models for SBP and DBP were established. This model helps predict blood pressure in children and reduce the risk of cardiovascular diseases. Confirmation of factors such as sex, age, and BMI provide a basis for personalized health plans for children, especially during large-scale infectious diseases, providing guidance for addressing health challenges and promoting the health and well-being of children.
摘要：
■为了探讨体重指数(BMI)与年龄,性别,和血压（收缩压，收缩压；舒张压，儿童COVID-19期间DBP），为儿童高血压的预防和筛查提供参考。
■这项研究采用了大规模的横断面设计，以调查N市7-17岁学生的BMI与血压之间的关系，中国,在COVID-19期间。采用分层整群抽样方法对N市36所中小学进行抽样。在N市，共有11,433名7-17岁的学生，中国,选择血压(舒张压，DBP,收缩压,SBP),高度,和体重,静息心率(RHR),胸围,测量,这项研究是使用STROBE检查表编写的。采用SPSS26.0进行数据分析,计算不同年龄组男女学生BMI和血压的均值和标准差。采用回归分析探讨BMI的影响，年龄,SBP和DBP上的性别，并建立了预测模型。使用模型R2评估模型拟合。
■这项研究包括11,287名中小学生，包括5,649名男孩和5,638名女孩。人们发现，随着年龄的增长，男孩和女孩的BMI和血压普遍升高。不同年龄组男女生血压水平存在显著差异。在回归模型中，LC,年龄,BMI,胸围与青少年SBP和DBP呈显著正线性关系,而RHR与SBP呈负线性关系。这些因素分别纳入分层回归模型，显著增强了模型的解释力。在包括年龄等因素之后，性别,BMI,调整后的R2值显示出显着改善，年龄和BMI被确定为SBP和DBP的关键预测因素。通过K折交叉验证和独立样本验证方法进一步检验了模型的稳健性和预测准确性。验证结果表明,该模型对不同体重水平儿童血压的预测具有较高的准确性和解释力,尤其是肥胖儿童，其中预测精度最高。
■在COVID-19年龄，性别,BMI显著影响7-17岁儿童的血压，建立了SBP和DBP的预测模型。该模型有助于预测儿童的血压并降低患心血管疾病的风险。确认性别等因素，年龄,BMI为儿童的个性化健康计划提供了基础，特别是在大规模传染病期间，为应对健康挑战和促进儿童健康和福祉提供指导。
■这项研究采用了大规模的横断面设计，以调查N市7-17岁学生的BMI与血压之间的关系，中国,在COVID-19期间。采用分层整群抽样方法对N市36所中小学进行抽样。在N市，共有11,433名7-17岁的学生，中国,选择血压(舒张压，DBP,收缩压,SBP),高度,和体重,静息心率(RHR),胸围,测量,这项研究是使用STROBE检查表编写的。采用SPSS26.0进行数据分析,计算不同年龄组男女学生BMI和血压的均值和标准差。采用回归分析探讨BMI的影响，年龄,SBP和DBP上的性别，并建立了预测模型。使用模型R2评估模型拟合。
■这项研究包括11,287名中小学生，包括5,649名男孩和5,638名女孩。人们发现，随着年龄的增长，男孩和女孩的BMI和血压普遍升高。不同年龄组男女生血压水平存在显著差异。在回归模型中，LC,年龄,BMI,胸围与青少年SBP和DBP呈显著正线性关系,而RHR与SBP呈负线性关系。这些因素分别纳入分层回归模型，显著增强了模型的解释力。在包括年龄等因素之后，性别,BMI,调整后的R2值显示出显着改善，年龄和BMI被确定为SBP和DBP的关键预测因素。通过K折交叉验证和独立样本验证方法进一步检验了模型的稳健性和预测准确性。验证结果表明,该模型对不同体重水平儿童血压的预测具有较高的准确性和解释力,尤其是肥胖儿童，其中预测精度最高。
■在COVID-19年龄，性别,BMI显著影响7-17岁儿童的血压，建立了SBP和DBP的预测模型。该模型有助于预测儿童的血压并降低患心血管疾病的风险。确认性别等因素，年龄,BMI为儿童的个性化健康计划提供了基础，特别是在大规模传染病期间，为应对健康挑战和促进儿童健康和福祉提供指导。
