Breakfast consumption and influencing factors of primary and middle school students in rural poor areas of Guizhou Province

To explore the influencing factors on physical endurance among Chinese primary and middle school students aged 10-17. Data was used from "2010 National Physical Fitness and Health Surveillance", from which 68 458 primary and middle school students with complete information were selected. Good physical endurance was defined as endurance running time ≤ P 25 of same gender and age, poor physical endurance as ≥ P 75 of same gender and age. Difference of endurance running time in different physical endurance groups was compared; chi-square test, logistic regression and multiple level model were used to analyze influence of region, BMI, diet, exercise and exercise willingness on physical endurance. There were 34 293 (50.0%) students of good physical endurance and 34 219 (50.0%) ones of poor physical endurance in 68 458 subjects. Percentage of good physical endurance was 53.8% (18 285/33 996) in rural students, higher than urban ones (46.3% (15 954/34 462)) (χ(2) = 384.16, P < 0.01). Percentage of good physical endurance was 12.2% (448/3660) in obese students, lower than normal (55.2% (28 183/51 028)), overweight (29.3% (2012/6874)) and emaciated ones (52.1% (3596/6896)) (χ(2) = 3840.08, P < 0.01). Percentage of good physical endurance was 52.5% (25 534/48 679) in students having breakfast everyday, higher than ones never having breakfast or 1-2 times per week (41.3% (3209/7768))(χ(2) = 438.31, P < 0.01). Percentage of good physical endurance was 51.7% (11 580/22 379) in students having milk everyday, slightly higher than ones never or sometimes having milk (49.2% (22 659/46 079)) (χ(2) = 39.84, P < 0.01). Percentage of good physical endurance was 55.3% (18 961/34 314) in students with adequate physical education class, higher than ones with inadequate class (44.7% (15 278/34 144)) (χ(2) = 756.41, P < 0.01). Percentage of good physical endurance was 58.6% (9484/16 195) in students with one hour exercise or more per day, higher than ones with less than one hour exercise (47.4% (24 755/52 263)) (χ(2) = 619.82, P < 0.01). Percentage of good physical endurance was 60.1% (19 287/32 118) in students who were "very willing" to take part in endurance running, higher than "generally willing" ones (45.4% (10 569/23 272)) and "not willing" ones (33.5% (4383/13 068)) (χ(2) = 2909.61, P < 0.01). Multiple level analysis revealed that risk of poor physical endurance was lower in rural students (OR = 0.80, 95%CI: 0.77-0.82) than urban ones. Risk in emaciated students (OR = 1.11, 95%CI: 1.05-1.17), overweight students (OR = 2.69, 95%CI: 2.55-2.85) and obese students (OR = 7.71, 95%CI: 6.97-8.52) was higher than normal ones. Concerning diet, risk of poor physical endurance in students never having breakfast or once to twice per week was highest (OR = 1.20, 95%CI: 1.13-1.26), followed by students having breakfast three to five times per week (OR = 1.13, 95%CI: 1.08-1.18); risk in students having one bag of milk per day was higher (OR = 1.09, 95%CI: 1.02-1.17) than ones having two bags. Concerning exercise, risk of poor physical endurance in students with inadequate physical education class (OR = 1.20, 95%CI: 1.13-1.26) and less than one hour exercise per day (OR = 1.34, 95%CI: 1.29-1.40) was higher than ones with adequate physical education class and one hour exercise or more respectively. Risk of poor physical endurance in students who were "generally willing" (OR = 1.67, 95%CI: 1.61-1.73) and "not willing" (OR = 2.72, 95%CI: 2.60-2.85) to take part in endurance running was higher than "very willing" ones. Urban and rural residence, BMI, breakfast, milk, physical education class, exercise time and exercise willingness were related to primary and middle school students'physical endurance.

Objective: To investigate the prevalence of dyslipidemia, and to explore the association between extracurricular physical activity and dyslipidemia among primary, middle and high school students in Guangzhou. Methods: This cross-sectional study selected primary and middle school students in Guangzhou by the stratified cluster sampling method from March to December 2019. Physical examination and blood lipid test were performed. Information about students' basic characteristics and extracurricular physical activity was collected by questionnaire. Multivariate logistic regression analysis was used to determine the association between extracurricular physical activity and dyslipidemia in this cohort. Results: A total of 7 797 participants (mean aged (12.2±2.9) years) were included (4 194 (53.79%) boys and 3 603 (46.21%) girls]. The detection rates of high total cholesterol, high triglycerides, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol and dyslipidemia were 12.49% (974/7 797), 6.44% (502/7 797), 6.62% (516/7 797), 11.31% (882/7 797) and 23.83% (1 858/7 797), respectively. Dyslipidemia rate was lower in the junior school students (21.39% (675/3 156)) than in primary school students (25.96% (896/3 451)) and high-school students (24.12% (287/1 190)) (P<0.001). The dyslipidemia rates of boys and girls were similar (23.15% (971/4 194) vs. 24.62% (887/3 603), P>0.05). Dyslipidemia rate was lower in students with extracurricular physical activity than in students without extracurricular physical activity (22.50% (923/4 102) vs. 25.30% (935/3 695), P<0.05). Multivariate logistic regression analysis showed that extracurricular physical activity was associated with lower risk of dyslipidemia (OR=0.88, 95%CI=0.79-0.99, P=0.033). Among all types of extracurricular physical activities, participating in extracurricular large ball game was associated with 28% lower risk among junior school students (OR=0.72, 95%CI=0.57-0.91, P=0.006). Conclusion: The prevalence of dyslipidemia is high among primary, middle and high school students in Guangzhou. Extracurricular physical activity is associated with reduced risk of dyslipidemia in this cohort.

This paper is used to know about the psychological health situation for middle and primary school students in Xianning City and provide a certain empirical basis for meaningful development of psychological health education and psychological assistance. This paper uses the MHT scale prepared by Bucheng Zhou professor et al. to conduct a test for 1000 students in 7 middle and primary schools in Xianning City. The detection rate of psychological health problem accounts for 1.6% where the positive detection rate of study anxiety ranks first (43.2%). The psychological health situations have much difference in sex (t = -4. 624, P<0. 001), and it’s lower in male students than female ones. There is a significant difference between the psychological health situation for only and non-only children (t = -2. 519, P<0. 01).There is a significant difference on the psychological health situation for primary school, middle school and high school students (F = 11. 3, P<0. 001), and the psychological health situation of primary school students is better than that for middle school students. It can be concluded that the psychological health situation of middle and primary school students in Xianning City is fairly good, and the psychological health situation for male student, only children and primary school student is also fairly good.

Application and Practice of MOOCs in the Teaching of Primary and Middle Schools

A cross-sectional study on the analysis of the current situation of depression and anxiety among primary and secondary school students in Urumqi City in 2021: A case study of S district

To get a better knowledge of the current situation of screen time among primary and secondary school students in all provinces of China from 2016 to 2017. Data was from the China National Nutrition and Health Surveillance of Children and Lactating Women(2016-2017).275 monitoring points were selected from 31 provinces of China by multi-stage stratified cluster random sampling. A total of 280 primary and secondary school students from 2 primary schools, 2 junior middle schools and 1 senior high school were randomly selected from each monitoring point to complete the survey.73629 primary and secondary school students(except grade 9 and grade 12) were included in this study. From 2016 to 2017, the average daily screen time of Chinese primary and secondary school students was(1.65±1.54) hours, M(P25, P75) was 1.29(0.58, 2.21) h. In terms of provinces, the average daily electronic screen time of primary and secondary school students in Beijing, Tianjin, Jilin, Fujian, Guangdong and Hainan is more than 2 hours. In terms of rural and urban areas, the screen time of students in Beijing&apos;s rural and urban areas, Tianjin&apos;s rural areas, Hebei&apos;s urban areas, Liaoning&apos;s rural areas, Jilin&apos;s rural areas, Fujian&apos;s urban areas, Guangdong&apos;s urban areas, Guangxi&apos;s urban areas, Hainan&apos;s rural and urban areas, and Xinjiang&apos;s urban areas all exceeds 2 hours/day. Besides, screen times of rural primary and secondary school students in Beijing(Z=2.62, P&lt;0.01), Tianjin(Z=5.94, P&lt;0.01), Liaoning(Z=11.56, P&lt;0.01), Jilin(Z=-7.59, P&lt;0.01), Shanghai(Z=3.19, P&lt;0.01), Jiangsu(Z=12.00, P&lt;0.01), Zhejiang(Z=-4.80, P&lt;0.01), Anhui(Z=-4.67, P&lt;0.01), Jiangxi(Z=-3.29, P=0.01), and Sichuan(Z=-4.53, P&lt;0.01) are longer than that of urban students. There are urban-rural differences in the average daily electronic screen time and different types of electronic screen time of primary and secondary school students in China&apos;s provinces from 2016 to 2017.

To assess the prevalence of depressive symptoms, trends on its longitudinal development and related influencing factors among primary and middle school students in Changfeng county of Anhui province. Through cluster sampling methods, all students from 3 to 9 grades in 5 primary schools and 3 middle schools in Changfeng county of Anhui province were investigated through questionnaire as subjects of baseline survey in December 2009. Subjects of this longitudinal study were students in grades 3, 4 and 7 at the time of the baseline survey and were contacted once a year for two years. At last, a total of 816 students participated in all the three surveys. A structured questionnaire including Children's Depression Inventory, socio-demographic characteristics and some potential influential factors was employed for this study. A Generalized Estimating Equation (GEE) was used to evaluate the related influencing factors of children's depressive symptoms in the longitudinal study. Prevalence rates of depressive symptoms were 11.3% , 10.4% and 8.5% , respectively, at the baseline, 1-year and 2-year follow-up studies, among primary and middle school students. Scores on depressive symptoms of total subjects and children who had always been left at home in the follow-up process showed significant differences at the three surveys (F = 13.423, P < 0.001; F = 5.761, P = 0.003). 25 percent of the 92 students who showed depressive symptoms at the baseline survey remained those depressive symptoms at the 1-year follow-up study and 87 percent of the 23 students who had depressive symptoms at the baseline and 1-year follow-up surveys still showing depressive symptoms at the 2-year follow-up study. Results from the GEE program indicated that grade 3 students, having syblings, family with dysfunction or at low level of self-esteem etc., were prone to development while sex and parents' educational level were not correlated with depressive symptoms. Prevalence of depressive symptoms among primary and middle school students in Changfeng county of Anhui province appeared a decreasing tendency during the follow-up process in our study. Through the longitudinal development, we noticed that the prevalence of depressive symptoms seemed to be related to the personal characteristics, education and family environment of the subjects under our study. Improving the level of family function as well as individual's self-esteem might positively contribute to mental health of those primary and middle school students.

To explore the behaviors related to infectious disease and family factors in primary and middle school students, and to provide evidence for improving behaviors related to infectious disease. A total of 8465 students were randomly surveyed by a standard questionnaire of behaviors related to infectious disease. Chi-square test was used to analyze the influential factors for behaviors related to infectious disease, and non conditional logistic regression analysis was used to analyze the multiple factors. The total formation rate of behaviors related to infectious disease was 66.4%. The rates for primary and middle school students were 69.4% and 62.8% respectively, with significant difference (P<0.05). There were significant differences in the following behaviors, such as washing hands before eating food, rarely buying snacks on outside stalls, informing teachers when showing infectious disease symptoms (all P<0.05), the degree for such behaviors in primary school students was higher than that in middle school students. There were also significant differences in the following behaviors, such as washing hands after using the toilet, blocking with a handkerchief, wiping while coughing and sneezing (all P<0.05), the degree for such behaviors in middle school students was higher than that in primary school students. Non conditional logistic regression analysis showed that the behaviors related to infectious disease in primary and middle school students were associated with parents' education degree, mother's occupation and living status with parents. Behaviors related to infectious disease in primary and middle school students need to be improved, and the formation of these behaviors may be related to many family factors.

To analyze and describe the status and characteristics of using electronic screens of primary and middle school students in China from 2016 to 2017. From 2016 to 2017, 275 monitoring points were selected from 31 provinces in China, and 280 primary and middle school students were selected from each monitoring point to complete the survey. Using the suggestion from "Healthy China Initiative(2019-2030)"of which the screen time of primary and middle school students should be less than one hour per day as the standard. A total of 74 314 primary and secondary school students(except grade 9 and grade 12) were included in this study. Among them, there were 37 147 boys(50.0%) and 37 167 girls(50.0%); 44 612 pupils(60.0%), 14 858 junior school students(20.0%), and 14 844 senior high school students(20.0%); 38 995(52.5%) rural students and 35 319(47.5%) urban students; 53 287 boarding students(71.7%) and 20 537 day students(27.6%). From 2016 to 2017, the average daily screen time of Chinese primary school students was 1.45 hours, M(P25, P75) was 1.14(0.57, 1.93) h. That of junior high school students was 1.92 hours, M(P25, P75) was 1.43(0.71, 2.48) h. That of senior high school students was 2.37 hours, M(P25, P75) was 1.71(0.90, 3.02) h. The average daily screen time qualified rates of primary school, junior high and senior high school students were 46.1%, 37.1% and 27.7%, respectively. From 2016 to 2017, the most used electronic screen products of primary school students in China were TV/videos(62%), followed by mobile phones(21%). Junior high school students spent 38% and 37% of the total time watching TV/videos and playing mobile phones, respectively. High school students spend the longest time using mobile phones(49%) of the total time, followed by watching TV/videos(26%). With the increasing of grade, screen time became longer, and screen time qualified rate dropped. Moreover, the most used electronic screens were mobile phones and TV/videos.

To investigate the nutritional status and influencing factors of rural primary and middle school students in a minority area in a certain city of Guizhou Province, so as to provide scientific evidence for prevention and intervention. A multi-stage stratified cluster random sampling method was adopted in this study, 3952 students from 6 primary and middle schools in a certain city of Guizhou Province were selected from April to June 2019 for height and weight measurement(1966 boys, 1986 girls, age(10.81±2.88) years old), among which 2833 students in grade 4 and above were surveyed(1374 boys and 1459 girls, age(13.44±1.94) years old), through the questionnaire to understand students& apos; basic information, breakfast and eating behaviors and so on, Using multi-factor Logistic regression to analyze the relationship between nutritional status and breakfast behavior. The height and weight of Han male students and female students in all age groups were slightly higher than those of ethnic minorities, but they tended to overlap gradually by the age of 16.The general height and weight of students in this area were lower than the 2014 national average. The general malnutrition rate of students was 21.39%, and the growth retardation rate was 13.13%, the moderate-to-severe wasting rate 3.04% and the mild wasting rate 5.22%. The malnutrition rate of minority students(24.72%) was higher than that of Han students(18.73%)(χ~2=14.93, P& lt; 0.05), the malnutrition rate of boys(26.49%) was higher than that of girls(16.59%)(χ~2=41.29, P& lt; 0.05). The sum of the rate of overweight and obesity of the students was 8.65%, among which the overweight rate was 6.42% and the obesity rate was 2.22%. There was no statistically significant difference in the variables between overweight and obese students(P& gt; 0.05). The breakfast behavior situation showed that rice noodle products(71.66%) were the most frequently consumed by primary and middle school students in the city. Multivariate Logistic regression analysis showed that the frequency of breakfast, the quality of breakfast, fresh vegetables, milk and products, and the frequency of meat/egg/fish were the main influencing factors of malnutrition. The differences were statistically significant(P& lt; 0.05). The growth and development status of primary and middle school students in a city of Guizhou Province mainly includes malnutrition, and the rate of overweight and obesity is not high, but prevention and control should still be paid attention to. The frequency and quality of breakfast are important influencing factors of malnutrition.

Objective: To analyze the daily drinking behavior and related factors of primary and middle school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) pilot regions. Methods: Multi-stage stratified random cluster sampling method was used to select one to three national pilot counties in 22 provinces in central and western China where the NIPRCES was implemented in 2019. According to different feeding patterns, two primary schools and two middle schools were selected as key monitoring schools. One or two classes were selected from grade 3 to grade 9. The student questionnaire was used to collect the basic information and daily drinking behavior. Taking whether the drinking water ≥5 cups every day as the dependent variable, multivariate logistic regression model was used to analyze the related factors of drinking behavior among students. Results: A total of 27 374 students were included. On average, primary and middle school students in the regions where NIPRCES was implemented had 3.9 cups of water every day. Logistic regression model showed that boys (OR=1.230, P<0.001), primary school students (OR=1.379, P<0.001), father worked outside the home (OR=1.169, P<0.001), both parents worked outside the home (OR=1.228, P<0.001), non-resident students (OR=1.142, P<0.001), the school in the village (OR=1.638, P<0.001) or township (OR=1.358, P<0.001), school feeding (OR=1.252, P<0.001), the school building with flush toilets (OR=1.384, P<0.001) and the central regions (OR=1.300, P<0.001) students were more likely to drink ≥5 cups water every day. Conclusion: The water consumption of primary and middle school students in the pilot regions of NIPRCES is low, and their drinking behaviors are affected by many factors.

The Investigation of critical thinking disposition among Chinese primary and middle school students

To investigate the characteristics of screen time and its risk factors in Chinese primary and middle school students. During April 2012 and June 2012, according to the geographical distribution, the stratified random cluster sampling method was used to select 4 provinces from eastern, central and western China, respectively. The convenience sampling method was used to select 2 primary and middle schools from urban, 2 primary and middle schools from rural in each province. In each school, all grades were included, and 2 classes were selected in each grade. A total of 51 866 students or parents were selected as study participants, and 43 771 questionnaires were valid. Information on demographics, academic performance, screen time (TV, computer and cellphone) at weekdays and weekends and the prevalence of the high screen time were compared, multivariate logistic regression was used to analyze the association between screen time >2 h/d and potential influential factors. The percentage of students with screen time >2 h/d at weekdays and weekends were 16.2% (7 082/43 771) and 41.5% (18 141/43 771) (χ(2)=6 280.14, P<0.001), respectively. The distribution of P50 (P25-P75) for screen time at weekdays and weekends were 0.9(0.4-1.6) and 1.8(1.0-3.0) (Z=-131.26, P<0.001), respectively. The results of multinomial logistic regression analysis showed that, at weekdays, subjects characterized as primary school students, boys, urban area, living in western area and sufficient vigorous physical activity ≤2 d/w had higher risk for screen time >2 h/d than those characterized as elementary school students, girls, rural area, living in eastern area and sufficient vigorous physical activity >3 d/w, odds ratio were 2.01, 1.54, 1.21, 1.09, and 1.07, respectively (P<0.05 for all); subjects characterized as a normal or worse self rating academic performance had higher risk for screen time >2 h/d than those characterized as a good self rating academic performance, odds ratioes were 1.24 and 1.73, respectively (P<0.05 for all); subjects characterized as paternal education level as elementary school, middle school, high school or secondary school had higher risk for screen time >2 h/d than those characterized as paternal education level as college school or high, odds ratioes were 1.41, 1.47 and 1.52, respectively (P<0.05 for all); subjects characterized as maternal education level as elementary school, middle school and high school or secondary school had higher risk for screen time >2 h/d than those characterized as maternal education level as college, odds ratioes were 1.40, 1.52 and 1.47, respectively (P<0.05 for all). At weekends, subjects characterized as primary school students, boys, urban area and sufficient vigorous physical activity ≤2 d/w had higher risk for screen time >2 h/d than those characterized as elementary school students, girls, rural area and sufficient vigorous physical activity >3 d/w, odds ratioes were 2.11, 1.51, 1.20 and 1.05, respectively (P<0.05 for all). At weekends, subjects characterized as a normal or worse self rating academic performance had higher risk for screen time >2 h/d than those characterized as a good self rating academic performance, odds ratioes were 1.09 and 1.26, respectively (P<0.05 for all); subjects characterized as paternal education level as elementary school, middle school, high school or secondary school had higher risk for screen time >2 h/d than those characterized as paternal education level as college school or high, odds ratioes were 1.29, 1.30 and 1.19, respectively (P<0.05 for all); subjects characterized as maternal education level as elementary school, middle school had higher risk for screen time >2 h/d than those characterized as maternal education level as college school or high, odds ratioes were 1.19 and 1.16 and, respectively (P<0.05 for all). The prevalence of screen time >2 h/d is high; screen time at weekdays is longer than weekends, and there are significant differences among different sexes, urban or rural areas, living areas, self rating academic performance, parents education levels and physical activity groups.

Objective: To examine the purchase behaviors of prepackaged food and its determinants among primary and middle school students in 6 provinces of China. Methods: A multi-stage sampling strategy was adopted to select 2 499 primary and middle school students and their parents from the eastern region of China(Beijing, Jiangsu Province, Guangdong Province), the northeast region(Heilongjiang Province), the central region(Henan Province) and the western region(Sichuan Province) from July 2020 to March 2021. Socio-demographic characteristics of students and their parents, eating-related behaviors and the purchase behaviors of prepackaged food of students, and parents' attitudes towards students' eating behavior were collected through questionnaire towards students and their parents. The χ² test was conducted to compare the purchase behaviors in different groups of students, and multivariate logistic stepwise regression analysis was used to analyze the determinants among primary and middle school students. Results: The age of 2 499 participants was(12.7±2.5) years. There were 1 272(50.9%) females and 1 279(51.2%) middle school students. About 1 404(56.2%) students bought prepackaged food. The top 6 prepackaged foods bought at least once a week were milk and dairy products(74.6%), baked food(58.7%), beverages(42.8%), puffed food(40.8%), chocolate and candy(39.8%), and nuts and dried fruits(37.5%). The multivariate logistic regression model analysis results showed that compared with primary school students, rural students, non-boarding students, students who did not like snacks and students whose parents paid attention to their children eating snacks, middle school students(OR=3.36, 95%CI:2.73-4.12), urban students(OR=1.33, 95%CI:1.11-1.61), boarding students(OR=2.15, 95%CI:1.66-2.79), students who liked snacks(OR=2.01, 95%CI:1.66-2.43), students whose parents did not pay attention to their children eating snacks(OR=1.27, 95%CI:1.05-1.54) were more likely to buy prepackaged food by themselves. Compared with students whose parents had education level of junior high school and below, students whose parents had education level of undergraduate and above(OR=0.70, 95%CI:0.53-0.92) were less likely to buy prepackaged food by themselves. Compared with students whose family monthly income was less than 5 000 yuan, students whose family monthly income was over 10 000 yuan(OR=0.67, 95%CI:0.52-0.87) were less likely to buy prepackaged food by themselves. Conclusion: Many primary and middle school students buy prepackaged food by themselves in 6 provinces of China. Individual characteristics such as grade, place of residence, boarding status, as well as family environment such as parents' education level, monthly income and concern about children eating snacks are the influencing factors of purchasing prepackaged food.

Objective To study the core message awareness of tuberculosis(TB) prevention and treatment among the primary and middle school students in rural areas of northern Jiangsu Province and to relevant influencing factors. To evaluate the intervention effects of different methods of health education on Tuberculosis, and provide a health education method which take the best effect. Methods Ten primary and middle schools were selected by stratified random sampling in rural areas of northern Jiangsu Province. There were 6 000 students to finish the questionnaires including the general information, knowledge, attitude, practice of TB prevention and treatment. 100 students per school and three primary and three middle schools were selected by multistage cluster sampling in three rural areas of northern Jiangsu Province. The interviews were divided into two intervention groups (comprehensive intervention and General intervention) and one control group. Results The general awareness rates of core messages on TB were 35.4%. The results of the multiple linear regression analysis showed that sex, age, father education, family type, and family income were significantly associated with increased knowledge scores. The awareness rates of the TB core information of comprehensive intervention group, the general intervention group and the control group were 90.5%, 81.5% and 60.4% after intervention. Conclusion Knowledge on tuberculosis prevention and control should be improved among the primary and middle school students in rural areas of northern Jiangsu Province. Compared with the general intervention group, comprehensive intervention education on TB was suitable for the primary school students in rural areas of northern Jiangsu Province.