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Background: This study was done to report on adequate antenatal care services owing to the impact of IEC intervention among deprived Baiga tribal women. Methods: Intervention study of 367 tribal women having a reproductive age of 15 to 49 year of 24 villages from district-Dindori. Pre-tested, administered intervention tools were implemented in intervention groups (12 villages) to enhance women's knowledge for the use of ANC services (phase-I) and in phase-II impact evaluation survey of mother’s antenatal care utilization and related details were collected from mothers of both intervention and control group. Based on baseline indicators, a carry forward IEC-intervention study was taken considering the case-control design. Logistic regression analysis was used to identify the associated factors. Results: Use of ANC services 82.3% was found to have increased by 10.3% from baseline (72%); it was found significantly higher (88%) in the intervention group while lower (76.1%) in the control group. As regards 60% women received more than 3 ANC check-ups remarkably higher by 13% in the intervention group. Health institution child births 44.8% were found meaningfully improved by 36.8% from baseline (8%); also, it was revealed higher (49.7%) in the intervention group than lower (40%) in the control group. Women’s education and exposure of previous pregnancy has found strong association with adequate antenatal care in intervention groups. Conclusions: A comparatively high proportion of the use of ANC services and institutional child birth were found in the intervention group. Improving the access to more quality health services in other tribal communities may necessitate the intervention research.
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Objective To assess the risk of nosocomial infection in patients with multiple myeloma during their first hospitalization. Methods Totally 480 patients with multiple myeloma who were hospitalized for the first time in department of hematology of West China Hospital, Sichuan University from August 2021 to August 2022 were included, and the nosocomial infection during treatment was statistically analyzed. The patients were divided into infected group and uninfected group. The independent influencing factors of nosocomial infection were analyzed and a prediction model was established. The reliability of the prediction model was analyzed by receiver operating characteristic curve (ROC). Results The incidence rate of nosocomial infection was 31.2% among 480 patients hospitalized for the first time. There were statistically significant differences in age, ISS staging, controlling nutritional status (CONUT) score, agranulocytosis, hemoglobin, and albumin between the infected group and the uninfected group (P<0.05). Logistic multivariate regression analysis showed that age, ISS staging, CONUT score, agranulocytosis, hemoglobin level, and albumin level were all independent correlated factors of nosocomial infection in patients with multiple myeloma hospitalized for the first time (P<0.05). The area under the ROC curve (AUC), sensitivity and specificity of multivariate logistic regression prediction model were 0.88 (95%CI: 0.840-0.920), 85.00% and 76.36%, respectively. Conclusion The incidence rate of nosocomial infection is high among patients with multiple myeloma in the first hospitalization. The prediction model established according to independent correlated factors of nosocomial infection has high predictive value on the occurrence of nosocomial infection.
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Objective@#To explore the longitudinal correlation between smartphone multitasking and depressive symptoms, so as to provide an evidence based basis for promoting the mental health of college students.@*Methods@#A total of 967 college students were recruited from one university in Taiyuan, Chongqing, and Shenzhen cities, China, by using multi stage randomized cluster sampling from October to December 2021 at baseline, and a follow up survey was conducted in May 2022. Smartphone multitasking behaviors were assessed by means of the Assessment of Smartphone Multitasking for Adolescents (ASMA), and depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9) among college students. Chi square tests were performed to compare the differences in depressive symptoms between different groups of demographic characteristics, and binary Logistic regression models were employed to analyze the associations between smartphone multitasking and depressive symptoms among college students.@*Results@#The rates of depressive symptoms among college students at baseline and follow up were 35.2% and 42.3%, respectively. Compared to the low level smartphone multitasking index group at baseline, the moderate and high level groups were more likely to experience depressive symptoms at baseline (moderate level group: OR=1.74, 95%CI =1.22-2.50, high level group: OR=2.77, 95%CI =1.94-3.95) and followup (moderate level group: OR=1.41, 95%CI =1.01-1.95, high level group: OR=1.64, 95%CI =1.17-2.29) ( P <0.05). In addition, compared to the persistently low smartphone multitasking index, increased risk of depressive symptoms was associated with maintaining a moderate to high ( OR=2.94, 95%CI =1.83-4.71), and a higher ( OR=2.07, 95%CI =1.31-3.27) or lower smartphone multitasking index ( OR=2.02, 95%CI =1.27-3.19) ( P <0.05). Moreover, higher smartphone multitasking index scores were positively associated with the risk of new-onset depressive symptoms at follow up ( OR=1.87, 95%CI=1.07-3.27, P <0.05).@*Conclusions@#Smartphone multitasking behaviors are find to be associated with an increased risk of depressive symptoms in college students. There is a need to reduce smartphone multitasking in order to decrease depressive symptoms and promote students mental health.
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Objective@#To elucidate the association between biorhythm disorders and health risk behaviors in adolescence, so as to provide reference for appropriate interventions.@*Methods@#From March to April 2023, 2 381 adolescents in Shanghai were selected as research objects using convenience sampling and stratified random cluster sampling methods. The Self rating Questionnaire of Biological Rhythm Disorders for Adolescents (SQBRDA) and the self report health risk behaviors questionnaire were used to investigate the status of adolescent biorhythm disorders and nine kinds of health risk behaviors, while a multivariate Logistic regression model was employed to analyze the association between the two variables.@*Results@#The average SQBRDA score was (68.25±0.42) The incidence and detection rates of health risk behaviors in the groups with no co occurrence, mild co occurrence, moderate co occurrence, and severe co occurrence were 234(9.83%), 1 176(49.39%), 830(34.86%) and 141(5.92%), respectively. The total SQBRDA score was positively correlated with the risk of co occurrence of health risk behaviors. The risk of mild co occurrence, moderate co occurrence, and severe co occurrence of health risk behaviors was 9.05 times (95% CI =4.25-19.15, P <0.01), 44.55 times (95% CI =20.75-96.05, P <0.01) and 110.05 times (95% CI =40.65-297.95, P <0.01) higher, respectively, among adolescents with higher scores of biorhythm disorders compared to adolescents with lower scores of biorhythm disorders.@*Conclusions@#Health risk behaviors among adolescents in Shanghai draw attention to a serious phenomenon whereby biorhythm disorders are positively correlated with the risk of co occurrence. Comprehensive interventions aimed at addressing adolescent health risk behaviors should focus on regulating biorhythm disorders.
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Objective@#To explore the association between bedroom light at night (LAN) exposure and body mass index (BMI) in children at 1 year follow up, so as to provide new strategies for obesity prevention.@*Methods@#From December 2021 to May 2022, cluster random sampling was conducted, involving 648 children from two primary schools in Tianchang, Chuzhou City, Anhui Province, China, to assess bedroom LAN exposure of children during sleep. A questionnaire survey and physical examination were carried out in May 2022. Multivariate linear regression was performed to analyze the correlation between bedroom LAN exposure and BMI variable quantity at 1 year follow up (May, 2023).@*Results@#The median intensity of bedroom LAN exposure during the sleep episode was [1.11(0.35,3.24)lx] in children. The proportion of the sample exposed to an average light intensity of ≥3 lx was 27.5%, while 19.0% was exposed to a LAN intensity of ≥5 lx during the sleep episode. In the multivariable linear regression, after adjusting for covariates, including sex, baseline age, sleep duration, family monthly income, and maternal education level, exposure to a 1 h-average post bedtime LAN intensity of ≥3 lx ( β=0.25, 95%CI =0.05-0.44) and LAN≥5 lx ( β=0.34, 95% CI = 0.12-0.55) was associated with a gain of 0.25 and 0.34 kg/m 2, respectively, in the children s BMI at the 1 year follow up ( P < 0.05).@*Conclusions@#A positive correlation was found between bedroom LAN exposure and BMI variable quantity at 1 year follow up in children. Thus, reduced bedroom LAN exposure might be useful for interventions aimed at obesity prevention.
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Objective@#To explore the association among neck-shoulder pain (NSP), low back pain (LBP) and co occurring symptoms with mental sub health in adolescents, so as to provide evidence for improving physical and mental health of adolescents.@*Methods@#Stratified cluster random sampling method was used to select 7 986 students from 12 middle and high schools in Shenzhen, Nanchang, and Shenyang cities from October to December 2019. The Assessment of Spinal Health of Youth (ASHY) and the Brief Instrument on Psychological Health of Youth (BIOPHY) were used to assess NSP, LBP and mental sub health. Binary Logistic regression model was used to analyze the association between NSP, LBP and co occurring symptoms with mental sub health in adolescents.@*Results@#The detection rates of adolescents with NSP, LBP and co occurring symptoms and mental sub health were 9.1% , 9.8%, 9.5%, and 10.0%, respectively. The co occurring rate of neck shoulder pain, low back pain and mental sub health was 3.2%. After adjusting for confounding variables such as gender, age, being an only child, family residence, and parental education level, NSP ( OR=6.01, 95%CI =5.02-7.19), LBP ( OR=5.08, 95%CI =4.25-6.07), and co occurring symptoms ( OR= 5.96 , 95%CI =4.98-7.12) in adolescents were positively correlated with mental sub health risk ( P <0.01). Stratifying the gender, boys with NSP, LBP and co occurring symptoms ( OR =6.84, 5.80, 6.74)had a higher risk of mental sub health compared to girls ( OR =5.52, 4.65, 5.49) ( P <0.01).@*Conclusions@#NSP, LBP and co occurring symptoms in adolescents are associated with mental sub health. The mental health status of boys is more affected by NSP, LBP and their co occurring symptoms. Measures should be taken to improve spinal health in adolescents to reduce the incidence of mental sub health.
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Objective@#To describe the prevalence and association of dietary rhythm and depressive symptoms among adolescents, so as to provide a basis for improving unhealthy behavioral habits,and to promote adolescent physical and mental health.@*Methods@#From October to December 2021, a total of 22 868 students were selected from one middle school and high school in urban and rural areas of eight cities, namely, Shenyang, Xuzhou, Shenzhen, Taiyuan, Nanchang, Zhengzhou, Chongqing, and Kunming cities, China, using a combination of purposive sampling and stratified cluster random sampling. A self administered questionnaire was used to assess adolescents dietary rhythm, and the Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms. Binary Logistic regression model was employed to analyze the associations between adolescent dietary rhythm and depressive symptoms, while the associations between adolescent dietary rhythm and depressive symptoms across gender and physical activity levels were stratified by gender and physical activity levels.@*Results@#The detection rate of depressive symptoms in adolescents was 44.4%. The respective differences in the detection rates of depressive symptoms among adolescents of different genders, physical activity levels, and dietary rhythm disorders were statistically significant ( χ 2=157.51, 105.02, 3 282.50, P <0.01). Taking the low disordered dietary rhythm group as the reference, binary Logistic regression analyses showed that after adjusting for confounding factors such as age, gender，family location, family economic situation, whether only child, parental education level, and learning burden, physical activity levels, depressive symptoms were positively correlated with adolescents in the moderate disordered dietary rhythm group ( OR=2.63, 95%CI =2.45-2.83) and the high disordered dietary rhythm group ( OR=6.38, 95%CI = 5.93- 6.86). In addition, after stratifying by gender, dietary rhythm were positively correlated with depressive symptoms. The moderate disordered group (male: OR=2.62, 95%CI =2.37-2.89, female: OR=2.67, 95%CI =2.40-2.97) and the highly disordered group (male: OR=5.74, 95%CI =5.19-6.35, female: OR=7.11, 95%CI =6.40-7.89) were positively correlated with depressive symptoms. After stratification by physical activity levels, low, moderate and above physical activity levels among adolescents in the disordered dietary rhythm group (low physical activity: OR=2.91, 95%CI =2.58-3.29, moderate and above physical activity: OR= 2.50, 95%CI =2.28-2.74), high disordered group (low physical activity: OR=6.51, 95%CI =5.94- 7.13 , moderate and higher physical activity: OR=6.18, 95%CI =5.47-6.97) were positively associated with depressive symptoms ( P <0.01). There was an interaction between dietary rhythm and physical activity levels in regard to the development of depressive symptoms in adolescents, taking the group with moderate and above physical activity levels and low disordered dietary rhythm as the reference,the detection rate of which was higher in adolescents with low levels of physical activity and those in the moderate or high disordered dietary rhythm group ( OR=1.50, 3.90, 95%CI=1.39-1.61, 3.63-4.19, P <0.01).@*Conclusions@#Dietary rhythm disorders were found to be positively associated with depressive symptoms in adolescents. Regular dietary behaviors and increased physical activity play an important positive role in promoting adolescent mental health.
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Objective@#To understand anxiety symptoms among medical college students and their relationship with social ecological risk factors, so as to provide reference for mental health promotion among medical students.@*Methods@#From September to October 2021, a convenient cluster sampling method was used to include 1 274 freshmen to senior students of a medical school in Taiyuan City, and the Generalized Anxiety Disorder-7 and adolescent social ecological risk factors assessment questionnaire were used. Multivariate binary Logistic regression was used to analyze the association between anxiety symptoms and social ecological risk factors among medical students.@*Results@#The overall detection rate of anxiety symptoms among medical students was 16.2%. The rate of anxiety varied significantly by grade (freshman: 19.9%, sophomore: 13.0%, junior: 14.0%, senior: 18.9% ) and number of friends (≤2: 22.8%, 3-5: 14.4%, ≥6: 11.8%) ( χ 2=8.70, 16.34, P <0.05). Spearman correlation analysis showed that individual, family, school, community, policy, culture, time, and total score in socio ecological risk factors were positively associated with anxiety symptom scores at different levels of risk ( r=0.33, 0.25, 0.32, 0.16, 0.15, 0.16, 0.16, 0.35, P <0.01). Logistic regression analysis showed that high risk for personal dimension of the socio ecological risk factors was positively associated with rate of anxiety symptoms among medical students ( OR=3.32, 95%CI =1.66-6.61), and remained positively associated ( OR=2.98, 95%CI =1.49-5.94) after adjusting for grade and number of friends ( P <0.01).@*Conclusions@#Exposure to high personal dimensions of socio ecological risk factors increases the risk of developing anxiety symptoms among medical students. A focus should be placed on the personal factors associated with anxiety to promote medical students mental health.
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Objective To analyze trends in the disease burden of esophageal cancer attributable to high body mass index (BMI) in the Chinese and United States populations from 1990 to 2019 and predict deaths over the next 10 years. Methods This study used Global Burden of Disease 2019 data to obtain mortality and disability-adjusted life-year (DALY) data by year, gender, and age for the disease burden of esophageal cancer attributable to high BMI in China and the United States from 1990 to 2019. Joinpoint regression analysis was conducted to analyze long-term trends. Bayesian age–period–cohort analysis was used to predict age-standardized mortality attributable to esophageal cancer in 2020–2030. Results From 1990 to 2019, the age-standardized mortality rate for esophageal cancer attributable to high BMI in China increased from 1.44/105 to 1.80/105 and the age-standardized DALY rate increased from 34.17/105 to 40.79/105. From the perspective of gender, the number of deaths, DALYs, and the corresponding age-standardized rate of males in China and the United States increased from 1990 to 2019. The age-standardized mortality and DALY rates of Chinese women showed a downward trend, decreasing by 21.36/105 and 29.71/105, respectively. Joinpoint analysis results revealed that the average annual percentage changes (AAPCs) in mortality attributable to esophageal cancer in the total population and men in China from 1990 to 2019 increased by 0.78% (95%CI: 0.71-0.84) and 1.52% (95%CI: 1.44-1.60), respectively, and that in females decreased by 0.88% (95%CI: −0.96-−0.80). AAPC in women in the United States rose at a slow rate of 0.07% (95%CI: 0.02-0.09). The burden of esophageal cancer deaths attributable to high BMI is predicted to continue to rise in China and the United States in 2020–2030. Conclusion The disease burden of esophageal cancer attributable to high BMI significantly increased in China from 1990 to 2019. The disease burden of esophageal cancer caused by high BMI in China is expected to increase from 2020 to 2030.
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Objective@#To analyse associated factors of campus bullying in schools, and to construct a nomogram model to predict the risk of campus bullying, so as to provide a theoretical basis for campus bullying prevention and control.@*Methods@#In September 2023, 89 117 middle and high school students were selected by stratified cluster random sampling method within 12 cities (103 counties) in Inner Mongolia, and were surveyed with self administered questionnaire. Among them, there were 62 381 participants in the training set and 26 736 participants in the testing set. Statistical analysis was conducted using χ 2 test and multiple Logistic regression, and a nomogram model was drawn for predicting campus bullying.@*Results@#The prevalence of campus bullying was 3.49%. Living in a suburban county, living in an unstable family, not the only child, having a father with a college degree or above, sometimes or never eating breakfast, being overweight or obese, living on campus, being scolded by parents in the past 30 days, smoking, Internet addiction, experiencing depression, anxiety symptoms, recreational soluble solvents use, cough medicine abuse, nonprescribed use of sedatives were all positively correlated with campus bullying ( OR =1.18, 1.40, 1.12, 1.33, 1.13, 1.72 , 1.12, 1.17, 1.82, 1.32, 1.83, 3.92, 2.40, 2.25, 1.51, 1.63, P <0.01).There were a negative correlation between high school students, female students, and the number of physical education classes per week (2-3, ≥4) with campus bullying ( OR =0.67, 0.58, 0.72, 0.83, P <0.01). The prediction model of campus bullying risk was established by nomogram model. The area under curve (AUC) was 0.82, and the calibration curve showed that the predicted value was close to the actual value.@*Conclusions@#Bullying among middle and high school students are related to family intimacy, poor daily behaviour and psychological factors. Targets of bullying intervention in schools should be identified, and preventive and control measures against bullying in secondary schools should be formulated, so as to reduce the occurrence of campus bullying.
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Objective@#To understand the potential categories of health risk behaviors among adolescents in the Wuling Mountain Area and their association with school connectedness, so as to provide reference for formulating classified and effective intervention measures.@*Methods@#From March to June 2023, 3 386 middle and high school students from eight schools in the Wuling Mountain Area were selected using the multistage stratified cluster random sampling method. A basic information questionnaire, health risk behaviors questionnaire, and school connectedness scale were utilized for the survey. The latent classes of adolescent health risk behaviors in the Wuling Mountain Area were investigated by using latent class analysis, while an multinomial Logistic regression model was employed to analyze the association between latent classes and school connectedness.@*Results@#Adolescent health risk behaviors in the Wuling Mountains Area were classified into three latent classes: high risk class of episodic behaviors ( 5.64 %), high risk class of implicit behaviors (26.90%), and low risk class of implicit behaviors (67.45%). Gender, ethnicity, and family type revealed significant differences in the distribution of the three latent classes ( χ 2=117.91, 22.55, 21.51, P <0.05). The results of the regression model analysis showed that, with the low risk class as the reference category, high school connectedness scores were associated with the high risk class of episodic behaviors ( OR=0.89, 95%CI = 0.88- 0.91) and the high risk class of implicit behaviors ( OR=0.90, 95%CI =0.89-0.91)( P <0.05).@*Conclusions@#The characteristics of adolescent health risk behavior classes in the Wuling Mountain Area are obvious. The high risk class of episodic behaviors and the high risk class of implicit behaviors are negatively correlated with school connectedness. Corresponding measures should be taken to enhance adolescents sense of belonging in school and reduce the aggregation and co occurrence of health risk behaviors.
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Objective@#To investigate the prevalence and associated factors of depressive symptoms among middle and high school students in Zhejiang Province, so as to provide scientific basis for the implementation of depressive intervention.@*Methods@#Based on the health status and associated factors of middle and high school students in the project "Monitoring of Common Diseases and Health Influencing Factors of Students" during 2018 to 2021, a total of 73 309 students including middle school, ordinary high school and vocational high school surveyed in 11 cities of Zhejiang Province were selected by multi stage stratified cluster random sampling method. From 2018 to 2021, there were 6 008, 21 917, 23 712 and 21 672 students, respectively. The Chi square test and Logistic regression model were used to analyze the influencing factors of depressive symptoms in middle and high school students.@*Results@#From 2018 to 2021, depressive symptoms detection rate of middle school students was 14.8%, with higher rate in girls (17.1%) than in boys (12.7%), higher rate in high school (17.1% in ordinary high school, 17.6% in vocational high school) than middle school (12.5%)( χ 2=278.77, 327.22, P <0.05). Univariate analysis showed that there were statistically significant differences in depressive symptoms detection rate among middle school students with different years (2018: 16.7%，2019: 17.9% , 2020: 13.1%, 2021: 13.0%), residence (yes: 16.3%, no:13.5%), body mass index classification (not overweight or obesity: 14.8%, overweight: 14.2%, Obesity: 15.7%), weekly exercise days (0-2 d: 17.1%, 3-5 d: 12.5%, 6-7 d: 13.1%) and bullying (yes: 35.5%, no: 10.7%) ( χ 2=293.40, 118.35, 7.83, 287.24, 4 978.84, P <0.05). Multivariate Logistic regression analysis showed that female students, ordinary high schools, vocational high schools, obesity, school bullying were positively correlated with depression ( OR =1.65, 1.70, 1.60, 1.12, 5.21), exercise 3 to 5 days per week, exercise 6 to 7 days per week were negatively correlated with depression ( OR=0.77, 0.81, P <0.01).@*Conclusions@#Depressive symptoms among middle and high school students in Zhejiang Province are prominent. Strengthening mental health education for students and providing attention and support from families, schools, and society are essential steps to reduce the occurrence of depressive symptoms among these students.
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Objective@#To investigate how parental divorce impacts psychological abuse and neglect among middle and high school students, so as to provide evidence for the development of family intervention strategies for mental health promotion.@*Methods@#A stratified random cluster sampling method was employed to select students from 23 middle and high schools in Nanchong, Neijiang, and Luzhou. Online questionnaires utilizing the General Data Questionnaire and the Child Psychological Abuse and Neglect Scale (CPANS) were administered. Propensity score matching (PSM) was used to compare individual characteristics between parent divorce and the control groups. The χ 2 test was then employed to analyze differences in psychological abuse and neglect across variables, with Logistic regression used to treat psychological abuse and neglect as dependent variables.@*Results@#After PSM, there were 1 898 cases in both parent divorce and control groups. There was no significant difference in gender composition between the two groups ( χ 2=0.03, P >0.05). Compared to the control group, after controlling for various factors including gender, phase of studying, parental education, whether to live in school, and long term caregivers of the student, the risk of experiencing psychological abuse ( OR=1.43, 95%CI =1.26-1.63) and neglect ( OR=1.53, 95%CI =1.33-1.75) was significantly higher in parentdivorce group ( P <0.05).@*Conclusions@#Parental divorce significantly impacts psychological abuse and neglect experienced by middle and high school students. Therefore, support and intervention efforts should be intensified for students from divorced or unstable marriage families.
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Objective@#To investigate the current status and relationship between loneliness and negative emotional symptoms among first generation college students in the family, so as to provide reference for improving mental health of this population.@*Methods@#A convenience sampling method was used to select 3 017 college students from 10 colleges and universities in Guangdong Province and Yunnan Province, China, in May 2023. Questionnaires were administered to the students, and the Depression Anxiety Stress Scale (DASS-21) and the short form of the University of California at Los Angeles Loneliness Scale (ULS-6) were employed.@*Results@#The total ULS-6 score of first generation college students in the family was (12.38±4.16), while the score of non first generation college students in the family was (11.89±4.38), with a statistically significant difference ( t=2.79, P <0.05). The total DASS-21 score of first generation college students in the family was (71.13±26.97), while the score of non first generation college students in the family was (70.20±26.66), with a statistically significant difference ( t=2.69, P <0.05). Among the first generation college students in the family, male students experienced more DASS-21 score (77.55±29.36) than female students (70.43±25.03)( t =5.79, P <0.05). Urban students (12.00±4.15, 70.34±25.68) reported lower levels of loneliness score and DASS- 21 score than rural students (12.62±4.15, 74.93±27.63), and the depression subscale scores showed statistically significant differences among students with different professional achievement rankings ( t/F =-3.42, -3.94, 4.25, P <0.05). There was a positive correlation between loneliness, depression, anxiety, pressure and DASS-21 scales of first generation college students in the family ( r=0.64, 0.62, 0.64, 0.66, P <0.01). The linear regression analysis results showed a positive correlation between loneliness and all dimensions and total scores of the DASS-21, explaining 44% of the variance in negative emotional symptoms.@*Conclusions@#A positive correlation is found between loneliness and negative emotional symptoms among first generation college students in the family. Improving the loneliness of the first generation college students in the family can reduce their negative emotional symptoms and improve their mental health level.
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Objective@#To investigate the correlation between campus bullying and suicidal tendency symptoms comorbidity with addictive behavior among middle and high school students in Hainan Province, so as to provide a theoretical basis for health education and behavioral intervention in schools.@*Methods@#In July 2023, an anonymous questionnaire survey was conducted among 6 654 middle and high school students in Hainan Province, selected by probability proportional sampling and stratified cluster random sampling method. Campus bullying, suicidal tendency and addictive behavior were determined according to the relevant items in the questionnaire on health related behaviors of Chinese students health status and influencing factors questionnaire, and self designed questionnaire. The co occurrence of campus bullying and suicidal tendency among students was analyzed. The binary Logistic regression method was used to analyze the correlation between the co occurrence of campus bullying and suicidal tendency and the addictive behavior of middle school students.@*Results@#The report rate of campus bullying among middle and high school students in Hainan Province was 28.48%, the suicidal tendency was 15.25%, and the co occurrence of campus bullying and suicidal tendency was 8.00%. The results of Logistic regression analysis showed that middle school students and left behind students were prone to campus bullying and suicide tendency ( OR =1.55, 1.52, P <0.05), while Internet addiction, gambling and current smoking showed significant positive correlation with comorbidity of campus bullying and suicide tendency ( OR =3.14, 2.18, 2.07, P < 0.05 ).@*Conclusions@#Middle and high school students with addictive behavior have a higher possibility of comorbidity of campus bullying and suicidal tendency. The comprehensive intervention of addictive behavior can reduce the incidence of co occurrence of campus bullying and suicidal tendency, so as to improve health and wellbeing of middle school students.
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Objective@#To analyze the relationship between new surrogate marks of insulin resistance (IR) and bone mineral content (BMC) in adolescents, and predictive value of the new surrogate marks on low bone mass, so as to provide scientific basis for early identification and prevention of skeletal related diseases in adolescents.@*Methods@#A total of 1 594 adolescents aged 12-18 years in Yinchuan City were selected by convenience sampling and stratified cluster random sampling from September 2017 to September 2020, and triglyceride and glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI) and triglyceride/high density lipoprotein cholesterol (TG/HDL-C) were calculated as new simplified IR index. The correlation between different simplified IR indexes and BMC level was analyzed by partial correlation. Binary Logistic regression was used to analyze the relationship between IR index and low bone mass, and receiver operating characteristic (ROC) curve was constructed to analyze its evaluation effect on low bone mass.@*Results@#After adjusting for confounding factors such as gender, age, smoking, drinking, family history of hypertension, systolic blood pressure (SBP) and diastolic blood pressure (DBP), the new surrogate marks of IR were positively correlated with BMC level (TyG: r =0.11, TyG-BMI: r =0.58, TG/HDL-C: r =0.21, P <0.01). After further adjustment of body mass index (BMI), fat mass (FM) and lean mass (LM), the relationship between IR indexes and BMC turned into negative correlation (TyG: r =-0.20, TyG-BMI: r =-0.18, TG/HDL-C: r=-0.14, P <0.01). After adjusting for confounding factors such as gender, age, smoking, drinking, family history of hypertension, SBP and DBP, Logistic regression results showed that the increase of TyG, TyG-BMI and TG/HDL-C levels reduced the possibility of low bone mass in adolescents (TyG: OR=0.63, 95%CI = 0.40-0.98, TyG-BMI: OR=0.94, 95%CI =0.93-0.96, TG/HDL-C: OR=0.31, 95%CI=0.17-0.58, P <0.01). After adjusting BMI, FM and LM, the above results were completely reversed. Girls with high TyG and TG/HDL-C levels were 4.95 and 4.38 times more likely to have low bone mass than those with low TyG and TG/HDL-C levels (TyG: OR=4.95, 95%CI =1.29- 18.95 , TG/HDL-C: OR=4.38, 95%CI=1.04-18.50, P <0.05). ROC curve showed that TyG-BMI had the best predictive value on low bone mass (AUC=0.80, 95% CI=0.77-0.83, P <0.01).@*Conclusion@#The new surrogate marks of IR in adolescents are negatively correlated with adolescent BMC, of which TyG-BMI is the best for assessing of low bone mass and can serving as a reliable indicator for early identification of low bone mass.
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Objective@#To construct a risk prediction model for poly victimization (PV) among rural left behind middle and high school students in Chaoshan, and to evaluate the prediction effect of the model, so as to provide scientific basis for early identification and prevention of PV among students.@*Methods@#A questionnaire survey was conducted among 1 005 left behind students, selected from 7 middle and high schools in rural areas of Shantou City and Jieyang City by a stratified random cluster sampling method from January 2020 to September 2021, for the personal, family, external environmental factors, psychological factors (mental resilience, coping approaches, self esteem and social support) and PV situations. R software and Logistic regression were used to screen predictor variables to build a risk prediction model, and the area under the ROC curve (area under the curve, AUC), accuracy, precision, recall, F1 value and calibration curve were used to evaluate the model s effect.@*Results@#The incidence rate of PV among left behind middle and high school students was 23.38%. The results of Logistic regression analysis showed that physical illness or disability ( β =1.02), grade retention during the past year ( β =1.31), having no close partner ( β =1.00), self harm intention (seldom: β = 0.58 , occasionally: β =0.79), negative peer behavior ( β =0.90), family member smoking ( β =0.59), criminal offenses of parents ( β =1.04), witnessing school bullying ( β =0.78), house moving ( β =0.58), using venting ( β =0.34) and the coping style of patience ( β =0.28) were positively correlated with PV among left behind children in Chaoshan area, and family support in psychological flexibility ( β =-0.31) was negatively correlated with PV ( P <0.05). A nomogram prediction model was constructed for the meaningful variables included in the multivariate analysis, and the prediction model AUC was 0.88, the accuracy was 82.00 %, the precision was 77.78%, and the F1 value was 43.75%. The calibration plot fitted well, and the model had good discrimination and calibration.@*Conclusion@#The risk prediction model for left behind middle and high school students with PV has good predictive performance and is helpful for schools and communities to early identify high risk middle and high school students with PV.
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@#To explore the relationship between metal exposure level and blood pressure, so as to provide a scientific basis for verifying the relationship between metal exposure and elevated blood pressure among primary school students.@*Methods@#In July 2022, a total of 555 students of second to sixth grade were selected by cluster random sampling method from two primary schools in Zhuxi County, Shiyan City, Hubei Province. A questionnaire survey was conducted to obtain the socio demographic characteristics and living habits of the participants. The height, weight, body mass index(BMI) and blood pressure were obtained by physical examination. At the same time, the urine of the subjects was collected, and the metal mass fraction in urine was detected by inductively coupled plasma mass spectrometry. The relationship between metal mass fraction in urine and blood pressure was analyzed by generalized linear regression.@*Results@#The detection rate of elevated blood pressure in primary school students was 15.86% , and there was a statistically significant difference in the detection rate of elevated blood pressure among obese primary school students (yes:37.25%,no:13.69%, χ 2=19.28, P <0.01).There were statistically significant differences in BMI[15.80( 14.69 ， 17.92 )，17.87(15.49，20.89)kg/m 2] between the non elevated blood pressure group and the elevated blood pressure group of elementary school students ( Z =-4.67, P <0.01). The geometric mean mass fraction of zinc in urine was the highest ( 6 942.86 μg/g), titanium was the lowest (2.20 μg/g). Zinc and lead were positively correlated with elevated systolic blood pressure( β = 0.054 , 0.014), zinc and cadmium were positively correlated with elevated diastolic blood pressure ( β =0.038,0.029) ( P <0.05).@*Conclusions@#Metal zinc, lead and cadmium concentration are associated with elevated blood pressure. It is necessary to intervene and control the exposure of zinc, lead and cadmium in the environment to promote the blood pressure health of primary school students.
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ObjectiveTo understand the visual environment sanitation in primary and secondary school classrooms in Minhang District， Shanghai， and to investigate the factors affecting the decline in students’ visual acuity. MethodsIn 2020， among all the primary and secondary schools in Minhang District， according to different types of classroom structures， levels， orientations， unilateral lighting， and bilateral lighting， a total of 20 231 students from 674 classrooms in primary and secondary schools were selected through stratified cluster sampling. Each monitored classroom was regarded as a research unit， and the naked eye vision of students was tested using a standard logarithmic vision chart during the 2020 and 2021 academic years. The change in average visual acuity between the two measurements was taken as the dependent variable， and the visual environment indices were considered as independent variables. The relationship between classroom visual environment indices and the decline in students’ naked eye vision was analyzed. ResultsThe qualification rates for per capita classroom area， window to floor area ratio， average illuminance of the blackboard， uniformity of blackboard illuminance， average illuminance of the desks， uniformity of desk illuminance， lighting coefficient of classroom， blackboard reflection ratio， back wall reflection ratio， and distance between lamps and desks were 79.53%， 88.58%， 46.74%， 70.33%，64.69%， 80.86%， 71.81%， 20.30%， 1.63%， and 97.53%， respectively. The average naked eye vision of primary and secondary school students in the 2020 academic year was 4.75±0.37 （right eye） and 4.76±0.37 （left eye）， while in the 2021 academic year， it was 4.70±0.39 （right eye） and 4.71±0.38 （left eye）. There was a significant decrease in the naked eye vision of primary and secondary school students in the 2021 academic year compared to that of 2020 （P<0.05）. Univariate linear regression analysis showed a significant correlation between grade， average illuminance of the blackboard， average illuminance of the desks， uniformity of desk illuminance， lighting coefficient， and distance between lamps and desks， and the decline of students’ naked eye vision within one academic year （P<0.05）. After adjusting for grade， multiple linear regression analysis revealed a significant correlation between the average illuminance of the blackboard， uniformity of desk illuminance， lighting coefficient， and distance between lamps and desks， and the decline of students’ naked eye vision within one academic year （P<0.05）. Higher average illuminance of the blackboard， uniformity of desk illuminance， lighting coefficient， and distance between lamps and desks were protective factors for naked eye vision. ConclusionThe visual environment of primary and secondary school classrooms in Minhang District is a matter of concern. Average illuminance of the blackboard， uniformity of desk illuminance， lighting coefficient， and distance between lamps and desks are related to the degree of visual impairment in students over a year.
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Objective:To select the differential prognostic lactic acid metabolism-related genes(LRGs)of the head and neck squamous cell carcinoma(HNSCC)to construct the LRGs prognostic model of HNSCC,and to clarify the potential mechanism.Methods:The HNSCC gene expression and clinical data were obtained from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)Databases,the LRGs were identified through GeneCards Database,and R software was used to screen out the LRGs of HNSCC;univariate Cox regression analysis was used to identify prognosis-related genes;two different subtypes were identified based on the prognostis-related LRGs;Kaplan-Meier(K-M)curve analysis was used to compare the prognosis of the patients between two groups;CIBERSORT algorithm was used to perform the immuno-correlation analysis between two groups;multivariate Cox regression analysis and LASSO regression analysis were used to construct the prognostic model;receiver operating characteristic curve(ROC)and K-M survival curve were used to assess the relationship between LRGs and survival and prognosis of the HNSCC patients.The prognostic model was validated by GSE27020,GSE41613,and GSE65858 datasets.The experiment were grouped based on risk score,and immune-related analysis and tumor score analysis were performed.Results:The TCGA Database differential analysis results showed that 1 196 LRGs were identified from HNSCC samples;univariate Cox regression analysis selected 27 differentially expressed genes(DEGs)associated with the prognosis of the HNSCC patients.Two different LRGs subtypes(Group 1 and Group 2)were identified according to the prognosis-related genes.The K-M survival curves results showed that the overall survival(OS)of the patients in Group 2 was significantly higher than that in Group 1,and the immune cell expression amount of the patients in Group 2 was also higher than that in group 1.The multivariate Cox regression and LASSO regression analysis results screened out 9 LRGs,including hypoxanthine phosphoribosyltransferase 1(HPRT1),amyloid precursor protein(APP),glycogen phosphorylase L(PYGL),urokinase-type plasminogen activator(PLAU),cannabinoid receptor 2(CNR2),stanniocalcin 2(STC2),nucleotide binding oligomerization domain-like receptor protein 1(NLRP1),integrin-linked kinase(ILK),and forkhead box B1(FOXB1);the prognostic model was constructed.The K-M and ROC curve results indicated that the expression levels of above 9 genes were associated with the survival and prognosis of the HNSCC patients,providing good 1-year,2-year,and 3-year survival prediction effect,and the area under ROC curve(AUC)values were all greater than 0.650.Furthermore,the predictive ability of the prognosis model was validated in GSE27020,GSE41613,and GSE65858 datasets.The patients classified based on the risk scores had distinguishable immune statuses.Conclusion:The differentially expressed LRGs of HNSCC screened by bioinformatics methods are related to the survival and prognosis of the HNSCC patients;the prognostic model constructed by 9 LRGs can predict the survival status and treatment response of the HNSCC patients.