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Abstract@#Subjective social status and life skill level are important influencing factors of adolescent health risk behaviors, and they interact with each other and jointly act on adolescent health risk behaviors, which make the mechanism of adolescent health risk behaviors become more diverse and complex. The current paper reviews the correlations among subjective social status, life skill level and adolescent health risk behaviors, in order to explore the joint influence of subjective social status and life skill level on adolescent health risk behaviors, then provides future directions for exploring possible mechanisms, and proposes recommendations for effective prevention strategies of adolescent health risk behaviors.
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Objective@#To investigate the prevalence of depressive symptoms among junior middle school students in Tianjin, and to explore the association between latent classes of health risk behaviors and depressive symptoms, so as to provide clues for identifying high risk groups of depressive symptoms and a scientific basis for comprehensive intervention measures.@*Methods@#By using a multistage stratified cluster sampling method, 8 175 students in 16 districts of Tianjin were investigated with demographic characteristics, depressive symptoms, and health risk behaviors. Latent class analysis was performed by Mplus 8.3. SPSS 23.0.@*Results@#The prevalence of depressive symptoms among junior high school students in Tianjin was 17.8%,the prevalence of depressive symptoms in urban(19.4%) areas was higher than that in rural areas(16.5%),and that of female students( 20.2 %) was higher than that of male students(15.5%)( χ 2=11.62,30.58, P <0.01). Health risk behaviors were classified into three groups: healthy group (84.0%), poor diet group ( 3.8 %) and multiple risk behaviors group (12.2%). After adjusting for region, grade, gender, and family type, multivariate Logistic regression analysis showed that the poor diet group ( OR=2.82, 95%CI =2.17-3.66) and the multiple risk behaviors group ( OR=4.31, 95%CI =3.67-5.05) had a higher risk of depressive symptoms compared with the healthy group ( P ＜0.01).@*Conclusion@#Depressive symptoms are prevalent among junior middle school students in Tianjin. Different latent classes of health risk behaviors have different correlations with depressive symptoms. It is important to ensure early detection and personalized intervention for different types of health risk behavior among junior middle school students to maximize cost effectiveness.
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Objective@#To explore the patterns of health risk behaviors among secondary school students in Shanghai, so as to provide a basis for implementing targeted interventions.@*Methods@#From May to June 2021, 21 junior high schools, regular high schools and secondary vocational schools were selected from Shanghai, and the occurrence of dangerous health behaviors of 6 092 students were investigated in the form of self-filled questionnaires. The clustering analysis of the sample was performed by Ward s departure and peace method.@*Results@#Three types of clustering characteristics were found in this study: being bullied, depression (64.9%), loneliness (48.2%), and insomnia (42.4%) in the high-risk group (1 004, 16.5%); excessive video games (53.1%) and sugary drinks (89.3%) and fried food intake (79.0%) in the medium-risk group (1 585, 26.0%); the low-risk group (3 503, 57.5%) was characterized by extremely low alcohol consumption (0) and smoking (0.4%). The reporting rate on sugary beverage intake, fried food intake, physical activity, malicious teased, solicited, isolated/intentionally excluded, outside the group activities, threatened, kicked/hit/pushed/locked in house, smoking, unhealthy weight loss, playing video game overtime were statistically significant among the three groups ( χ 2=36.74, 41.85, 30.07, 652.68, 334.40, 669.89, 358.84, 233.12, 101.46, 88.45, 230.15, P <0.01) .The difference in reporting rates of loneliness, depression, insomnia and drinking were significant among the three groups (Fisher s test, P <0.01). The majority of junior high school students, general high school students and girls in the high-risk group; boys, general high school students and junior high school students in the excessive video game and unhealthy diet group.@*Conclusion@#There are clusters of health-related risk behaviors among secondary school students in Shanghai, focusing on two major aspects: poor lifestyle and mental health. Targeted interventions should be implemented according to the characteristics of health-related risk behaviors clustering to enhance the intervention effect.
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Objective@#To understand the potential categories of harmful behaviors of college students in Wuling Mountain Area and its relationship with campus bullying, so as to provide a theoretical basis for promoting the development of college students physical and mental health.@*Methods@#The stratified random cluster sampling method was used to select 3 042 college students from six universities in Wuling Mountain Area from October to December, 2022. The "Chinese Youth Health Related/Risk Behaviors Questionnaire" (University Edition) compiled by the National Youth Health Related/Risk Behaviors Survey Group was used to investigate the health risk behaviors. The potential category analysis method was used to analyze the food preference, insecurity, fighting, loneliness, depression, insomnia, heartbreak, suicidal ideation, smoking, drinking, game addiction, Internet addiction of health risk behaviors were used to further analyze the relationship between different categories and campus bullying by using multi category Logistic regression method.@*Results@#College students in Wuling Mountain Area were classified into low risk group of category 1 (44.2%), category 2 (5.4%) substance dependent group, category 3(50.4%) emotional disorder group. The distribution of potential categories of health risk behaviors among college students was statistically significant by gender( χ 2=31.44, 11.69， P < 0.05 ). Logistic regression analysis showed that after controlling demographic variables, campus bullying was the risk factor of category 3 emotional disorder group( OR =1.88, P <0.01).@*Conclusion@#bullying. Colleges and universities should attach great importance to the occurrence of campus bullying, formulate intervention programs for different categories of health hazard behaviors, and promote the healthy development of college students physical and mental health.
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Objective@#To investigate incidence of traffic injury and its associated factors among secondary school students in Shanghai, so as to provide scientific basis for intervention.@*Methods@#Using the method of multi stage stratified random cluster sampling, an on-the-spot anonymous questionnaire survey was conducted among 19 629 adolescents from 16 districts in Shanghai from May to June 2021. The multivariate Logistic regression was used to analyze possible associated factors.@*Results@#The rate of road traffic injuries among secondary school students in Shanghai was 0.74%, the highest reporting rate among secondary vocational school students (1.35%), followed by junior high school students (0.72%), and the lowest reporting rate of road traffic injuries among senior high school students (0.55%), with statistically significant differences ( χ 2=13.39, P <0.01). The results of multivariate Logistic regression analysis showed that the junior high school ( OR =0.56, 95% CI =0.35-0.89) or senior high school ( OR = 0.40 , 95% CI =0.24-0.68) and residential school ( OR =0.39, 95% CI =0.18-0.88) were protective factors of road traffic injuries( P <0.05). Male ( OR =1.65, 95% CI =1.14-2.37), unaware of seat belt ( OR =6.38, 95% CI =2.81-14.50), had a cycling chase/fight ( OR =2.33, 95% CI =1.39-3.90), music or phone calls on a bicycle ( OR =2.54, 95% CI =1.72-3.75) were positively correlated with road traffic injury( P <0.05).@*Conclusions@#The road traffic injury among secondary school students in Shanghai is related to many factors, and traffic hazards are common among students in all school sections. Targeted measures should be taken to strengthen traffic safety knowledge education and intervention in healthy behaviors among adolescents, in order to reduce the incidence of road traffic injury.
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Objective@#To investigate the current situation of cyberbullying and health risk behaviors among secondary vocational school students, to explore the effects of cyberbullying on health risk behaviors, so as to provide a reference for formulating intervention strategies to promote adolescent health related behaviors.@*Methods@#From March to April 2023, a field survey was conducted on 1 184 students from one secondary vocational school each in Jilin City and Yanji City by random cluster sampling method. The data was analyzed using Chi square tests and generalized linear models.@*Results@#Among secondary vocational school students, 839 individuals (70.9%) experienced the cyberbullying, and 1 036 individuals (87.5%) had one and more health risk behavior group. There was a positive correlation between cyberbullying and health risk behaviors ( r=0.60, P <0.01). The generalized linear model analysis showed that female and no Internet addiction were negatively correlated with the health risk behaviors of secondary vocational students ( β =-2.75, -8.90), and the single parent families and peer pressure was positively correlated with the health behaviors of secondary vocational students ( β =2.56, 4.82)( P ＜0.05). Secondary vocational students experienced cyberbullying who from single parent families, peer pressure and social oriented internet usage were more likely to engage in health risk behaviors ( β= 3.41, 4.88, 2.20, P <0.05).@*Conclusions@#The incidence of cyberbullying and health risk behaviors among secondary vocational school students is relatively high, and cyberbullying can influence the occurrence of health risk behaviors. It is important to focus on and implement guidance for internet use and health behavior education for secondary vocational students from multiple perspectives, including the family, school, and society. Corresponding intervention strategies should be taken to promote the healthy development of adolescents.
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Objective@#To determine the current prevalence of health risk behaviors among college students in Henan Province, and to conduct an in depth analysis of the impact of cumulative ecological risks on health risk behaviors, so as to provide scientific basis for promoting healthy development of adolescents.@*Methods@#Using a multi stage stratified cluster sampling method, 9 743 college students from six universities in Henan Province were included as the research subjects from April to June 2023. A questionnaire survey was conducted using the College Student Cumulative Ecological Risk Scale and the China Urban Adolescent Health Related Behavior Survey Questionnaire (University Version). Data were analyzed by descriptive statistical analysis, Chi square test and binary Logistic regression.@*Results@#The reporting rates of unhealthy eating behavior, unhealthy weight loss behaviors, lack of physical activity, daily risk behaviors, negative emotions, current smoking behavior current drinking behaviors, Internet addiction emotions and dangerous sexual behaviors among college students in Henan Province were 40.2%, 39.5%, 76.0%, 13.7%, 28.1%, 11.3%, 12.7%, 5.9% and 2.2%, respectively. The reporting rates of negative emotions, current smoking behaviors, current drinking behaviors, dangerous sexual behaviors and daily risk behaviors of college students were higher in boys than in girls ( χ 2=44.00, 995.20, 902.49, 121.95, 103.09, P <0.05). In terms of reporting rates of unhealthy diet, unhealthy weight loss and lack of exercise behavior, girls were higher than boys ( χ 2=107.59, 13.01, 145.83, P <0.05). Cumulative ecological risk was positively correlated with overall health risk behaviors. For every unit increase in the cumulative ecological risk index, the risk of health risk behaviors among college students increased by 48%.@*Conclusions@#The prevalence of health risk behaviors among college students is relatively common. It should adrocate for a healthy lifestyle, reduce the cumulative ecological risk and the occurrence of health risk behaviors to promote the healthy development of adolescents.
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Objective@#The study was aimed at exploring the latent classes and factors influencing middle school students health risk behaviors in Beijing, so as to provide a scientific basis for determining key intervention targets and formulating relevant intervention measures.@*Methods@#A questionnaire survey was conducted among 17 730 junior middle school, senior high school and vocational high school students in 16 districts of Beijing from October to December 2022. Six types of health risk behaviors were assessed with latent class analysis, including unhealthy diet, lack of exercise, unintentional harm, intentional harm, substance abuse and Internet addiction behavior.@*Results@#The latent classes of health risk behavior among middle school students in Beijing were divided into three classes:high risk behavior (961 participants, 5.42%), low lack of exercise/high intentional injury (1 099 participants, 6.20%), and low risk behavior (15 670 participants, 88.38%). Disordered multiple Logistic regression analysis indicated that middle school students who were male ( OR =1.45), in high school ( OR =2.00), had other family types ( OR =1.90), possibly had depressed feelings ( OR =2.27), had depressed feelings ( OR =6.18), or were absent from school because of illness in the past year ( OR =1.79) were more likely to be in the high risk than the low risk behavior group. Moreover, middle school students who were male ( OR =2.30), had an extended family ( OR =1.18), had a reorganized family ( OR =1.70), had other family types ( OR =1.94), possibly had depressed feelings ( OR =3.10), had depressed feelings ( OR =4.91), had taken sick leave in the prior 2 weeks ( OR =1.54), or had absence from school because of illness in the past year ( OR =1.71) were relatively more likely to be in the low lack of exercise or high intentional injury group ( P <0.05).@*Conclusion@#Clear latent classes of health risk behaviors among middle school students are found to be present in differing proportions in Beijing. Relevant departments should take targeted intervention measures in a timely manner to reduce the occurrence of health risk behaviors among middle school students.
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Objective@#To investigate relationship between online partner seeking sexual behavior and sensation seeking risk behaviors among college students, and to provide suggestions on college sex education.@*Methods@#Using convenience sampling, a self administered questionnair survey was administered among 1 923 students in one college in Chongqing between September and October in 2021, regarding online partner seeking sexual behavior,sensation seeking and risk behaviors.@*Results@#About 26.7% of participants reported having sexual behavior, and 12.3% students having online partner seeking sexual behavior. There were no significant sex differences in online partner seeking sexual behavior ( χ 2=1.25, P >0.05); partner seeking sexual behavior varied by grade, gambling,alcohol drinking and internet addiction tendency( χ 2=9.40, 3.29, 19.63 and 3.66, P <0.05), which was higer among college students in grade one(9.1%), no gambling habit(12.0%), drinking habit(8.4%), and having no inclination to Internet addiction (11.8%) compared with those of grade 2 and 3(14.4%, 13.1%), gambling habit(19.7%), no drinking habit( 15.1 %) and having inclination to Internet addiction (16.6%). The results of multivariate Logistic regression showed that alcohol drinking ( OR =0.45，95% CI =0.33-0.62) was negatively associated with online partner seeking sexual behavior, sensation seeking ( OR =1.08，95% CI =1.03-1.13) and gambling ( OR =2.15，95% CI =1.19-3.88) were positively associated with online partner seeking sexual behavior of college students( P <0.05).@*Conclusion@#Colleges should pay attention to the occurrence of online partner seeking sexual behavior, provide guidance for recognition of adverse consequences of sensation seeking behavior, and to avoid the clustering of online partner seeking sexual behavior with gambling behaviors.
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Objective@#To analyze the trend of adolescent health risk behaviors in Shanghai, and to provide reference for the comprehensive intervention of middle school students health risk behaviors.@*Methods@#Based on the health risk behavior questionnaire of Chinese Center for Disease Control and Prevention, the questionnaire was adapted according to the actual monitoring needs. It was divided into junior high school version and senior high school version. From 2004 to 2019, using the method of multistage stratified cluster random sampling, 59 209 middle school students who completed the questionnaire in 6 surveys were selected for analysis. @*Results@#From 2004 to 2019, in the 7 days prior to the survey, 9.2%-50.6% of middle school students drank a glass of soda more than or equal to once a day and 54.2%-76.1% of middle school students reported eating dessert twice or more. Within 7 days, 48.3%-60.7% of middle school students had≥60 min of exercise per day for less than or equal to 3 days, and 16.1%- 35.2% of middle school students reported too much extracurricular activities, and the reporting rate increased year by year with the annual percent change ( APC ) of 5.15%( t =9.28, P <0.01). The reporting rate of long time online learning was 6.0%-13.6%, which showed an upward trend among high school students, with the APC of 5.35%( t =3.14, P <0.05). The reporting rate of middle school students pedestrian safety problems decreased from 69.1% in 2004 to 27.6% in 2019, with the APC of -6.28%( t =-8.18, P <0.01), but the reporting rate of cycling safety problems have increased in recent years. The reporting rate of intentional injury behaviors decreased by year such as fighting, bullying, etc. The reporting rate of initial smoking age ≤13 years old decreased, but attempted drinking behavior increased in junior middle school students, and the APC was 1.61%( t =3.48, P <0.05). A total of 1.6%-3.4% of middle school students had an Internet addiction behavior tendency. The detection rate of Internet addiction tendency was increasing in high school students and girls, and APC was 6.59% and 10.29% respectively( t =6.37, 8.62, P <0.01).@*Conclusion@#From 2004 to 2019, unintentional injury behavior, intentional injury behavior and substance addiction behavior of middle school students in Shanghai have improved. However, unhealthy diet and physical inactivity are still high. In the follow up. It need to focus on adverse diet and lack of physical activity behavior and take comprehensive intervention measures to control them.
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Objective@#To explore the association between parents health literacy and health risk behaviors of middle school students, so as to provide theoretical basis for parental health literacy improvement and adolescent health risk behaviors prevention.@*Methods@#A questionnaire survey was conducted among 1 993 middle school students and their parents in northeast Jiangxi Province by multistage stratified random sampling during Jun. to Sept. of 2020. Spearman correlation and generalized linear model were used to explore association between parents health literacy with 5 types of unhealthy behaviors.@*Results@#Generalized linear model analysis showed that after adjusting household economic status and other covariates, parents health literacy was associated with adolescent health risk behaviors, and the scientific health view ( β =-0.05, 95% CI =-0.09--0.01), health information literacy ( β = -0.06 , 95% CI =-0.08--0.05) were associated with substance abuse and violence among middle school students; health information literacy ( β =-0.03, 95% CI =-0.04--0.01) was associated with adolescent healthy eating behavior; health information literacy ( β =-0.03, 95% CI =-0.05--0.02) was associated with breakfast and exercise in middle school students; chronic disease literacy ( β =0.05, 95% CI =0.00-0.09), health information literacy ( β =-0.02, 95% CI =-0.03--0.00) was associated with screen related behavior of middle school students; scientific health view ( β =-0.05, 95% CI =-0.09--0.01), basic medical literacy ( β =-0.08, 95% CI =-0.13--0.04), health information literacy ( β =0.02, 95% CI =0.00-0.03) were associated with middle school students traffic safety behavior( P <0.05). @*Conclusion@#There is a certain cross sectional correlation between parents health literacy and adolescent health risk behaviors. It is necessary to clarify the direction and intensity of the correlation in the cohort study.
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Objective@#To explore the prevalence of health risk behaviors and the association between locus of control and health risk behaviors among college students, and to provide reference for the formulation of health risk behavior intervention for college students.@*Methods@#A multi stage cluster random sampling method was used to select 2 provinces from the east, central and west regions of China, respectively. Two universities were then randomly selected from each selected province. A total of 3 951 college students from 12 universities completed the electronic and anonymous questionnaires, which included demographic characteristics, Multidimensional Health Locus of Control Questionnaire (MHLC) and Health Risk Behaviors Questionnaire. Chi square test and binary Logistic regression were applied to analyze data.@*Results@#Totally 2 287(57.88%) students reported having three or more kinds of health risk behaviors. The prevalence of excessive screen time, insufficient physical exercise, poor eating behaviors, drinking and smoking were 97.34%(3 846), 74.72%(2 952), 72.21%(2 853), 13.62%(538) and 5.57%(220). Internal locus of control was associated with lower risk of three or more kinds of health risk behavior ( OR =0.98) and inadequate physical activity ( OR =0.93) and associated with higher risk of smoking ( OR =1.07). The powerful others was associated with lower risk of three or more kinds of health risk behavior ( OR =0.98), drinking ( OR =0.95) and unhealthy eating behavior ( OR =0.97). And the chance was associated with higher risk of three or more kinds of health risk behavior ( OR = 1.04 ), drinking ( OR =1.04) and inadequate physical activity ( OR =1.03)( P <0.01).@*Conclusion@#College students have serious health risk behavior problems, the locus of control is associated with health risk behaviors among college students. Which might be helpful to prevent the occurrence of health risk behaviors, and improve overall health of college students.
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Objective@#To explore whether psychological stress in early and mid puberty is predictive of adolescent healthrisk behaviors.@*Methods@#In April 2018, a total of 1 046 primary and secondary school students from grade 5 to 8 were recruited through purposive sampling. The basic information and psychological stress of the respondents were collected by questionnaire and physical examination. In addition, self reports of health risk behaviors were collected in October 2018. Logistic multiple regression analysis was used to analyze the relationship between psychological stress and health risk behaviors of adolescents.@*Results@#The reported health risk behaviors of the surveyed adolescents ranking from high to low were unreasonable physical activity (62.05%), food preferences (24.76%), fighting (21.03%), suicidal ideation (17.02%), ideation of running away from home (9.85%), low mood (8.80%), smoking (4.21%), drinking (3.73%), gambling (3.63%) and internet addiction (3.06%). Logistic multiple regression analysis showed that the high level of psychological stress was a risk factor for fighting ( OR =1.02, 95% CI =1.01-1.03), suicidal ideation ( OR =1.02, 95% CI =1.01-1.03), low mood ( OR =1.02, 95% CI =1.01-1.03), ideation of running away from home ( OR =1.02, 95% CI =1.01-1.03), unreasonable physical activity ( OR =1.01, 95% CI =1.00-1.02), smoking ( OR =1.02, 95% CI = 1.00-1.03), internet addiction ( OR =1.02, 95% CI =1.00-1.03), food preferences ( OR =1.01, 95% CI = 1.00-1.02) and gambling ( OR =1.02, 95% CI =1.01-1.04)( P <0.05).@*Conclusion@#Unreasonable physical activity and food preferences are most common health risk behaviors among adolescents. Psychological stress during early to middle puberty is predictive of adolescent health risk behaviors.
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OBJETIVO: analisar a "periculosidade" como um dispositivo a partir das publicações que se encontram nos campos das Ciências Sociais, Humanas e da Saúde. MÉTODO: revisão integrativa das publicações disponíveis nas bases de dados da PUBMED, MEDLINE, LILACS, SCIELO e a BDTD, entre os anos de 2014 a 2017. Foi utilizada a análise temática para tratamento e análise dos dados. RESULTADO: foram selecionadas 43 produções, organizadas em grupos que apontam os elementos que compõem o dispositivo, entre eles o entrelaçamento de saberes, risco, culpa e estratégias de intervenção. CONCLUSÃO: tomar a periculosidade como um dispositivo expõe uma série de relações de saber-poder que se reproduzem ao longo do tempo, mas permite também estabelecer outras estratégias de intervenção para o processo de reintegração social destes sujeitos.
OBJECTIVE: to analyze "hazardousness" as a device through the publications in the fields of Social, Humanities and Health Sciences. METHOD: an integrative review of publications available in reference databases of the PUBMED, MEDLINE, LILACS, SCIELO and BDTD databases, from 2014 to 2017. Thematic analysis was used for data treatment and analysis. RESULT: a total of 43 productions were selected, organized in groups that point out the elements that compose the device, including the intertwining of knowledge, risk, guilt and intervention strategies. CONCLUSION: hazardousness as a device exposes a series of knowledge-power relationships that reproduce over time, but it also allows establishing other intervention strategies for the process of social reintegration of these subjects.
OBJETIVO: analizar la "peligrosidad" como dispositivo a través de las publicaciones en los campos de las Ciencias Sociales, Humanitarias y de la Salud. MÉTODO: revisión integradora de publicaciones disponibles en bases de datos de referencia de PUBMED, MEDLINE, LILACS, SCIELO y BDTD, de 2014 a 2017. Se utilizó el análisis temático para el tratamiento y el análisis de datos. RESULTADO: se seleccionaron 43 producciones, organizadas en grupos que señalan los elementos que componen el dispositivo, entre ellos la combinación de estrategias de conocimiento, riesgo, culpa e intervención. CONCLUSIÓN: tomar la peligrosidad como un dispositivo expone una serie de relaciones de conocimiento-poder que se reproducen con el tiempo, pero también permite establecer otras estrategias de intervención para el proceso de reintegración social de estos sujetos.
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Social Sciences , Power, Psychological , Dangerous Behavior , Health Sciences , Criminals , Human Rights , HumanitiesABSTRACT
Abstract@#Overweight and obesity among children is not only harmful to physical and mental health, but also associated with an increased risk of chronic diseases such as hypertension and diabetes in adulthood. Health related behavioral factors are one of the most important causes of child overweight and obesity, which commonly co occur and show a synergistic negative influence on health. The synergistic effects suggest that interventions are likely to be more cost effective and to maximize impact by targeting health risk behaviors in combination with the improvement of a variety of modificable behaviors. The present review aims to describe the update of co occurrence and clustering patterns of obesity related health risk behaviors, and proposes the future direction for prevention and control of overweight and obesity in children.
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Objective@#To investigate the relationship between breakfast eating frequency and health-risk behavior of high school students in Chongqing, and provide a reference for conducting students to get a good habit of eating breakfast everyday.@*Methods@#A total of 3 283 high school students in Chongqing were selected to participate in a questionnarie by using convenience sampling method. Logistic regression analysis were condueted to analyze the influences made by the unhealty eating behaviors on eating frequency of breakfast.@*Results@#There were 2 064(69.2%) students eating breakfast everyday, 1 219(37.1%) students having no breakfast or eating breakfast sometimes. There were significant differences between different gender, grade, native place, drinking energy drink, smoking, drinking alcohol, gambling, internet addiction students rate of unhealthy breakfast eating frequency(χ2=6.80, 53.97, 8.10, 23.79, 7.89, 16.31, 3.93, 17.96, P<0.05), the males (36.1%) was beyond the females(33.3%), the energy drink drinkers(41.2%) was beyond the non-drinkers(31.7%), the smokers (40.9%) was beyond the non-smokers(34.4%), the alcohol drinkers(40.3%) was beyond the non-drinkers(33.3%), the gamblers(39.7%) was beyond the non-gamblers(34.3%), those having internet addictions (40.0%) was beyond those having no addictions(33.0%). Drinking energy drink(OR=1.32, 95%CI=1.12-1.55), drinking alcohol(OR=1.24, 95%CI=1.02-1.51), internet addiction(OR=1.42, 95%CI=1.19-1.68) were positively correlated with unhealthy breakfast eating frequency of high school students(P<0.05).@*Conclusion@#Social, families and schools should strengthen the guidance of high school students to develop the habit of eating breakfast every day, and advoid the clustering of skipping breakfast and health-risk behaviors.
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Objective@#To understand the association between childhood abuse experience and health risk behaviors among college students, providing references for childhood abuse and health risk behavior prevention.@*Methods@#During Mar. to Apr. of 2016, 918 college students from 2 universities in Nanchong city were selected through cluster sampling, the survey included general demographic characteristics, childhood abuse experiences and health risk behaviors. Chi square test was used for univariate analysis, and Logistic regression was used for multivariate analysis.@*Results@#A total of 720(78.43%) of participants reported at least one type of health risk behaviors, overeating was the most common type[595(64.81%)]. The number of adolescent reporting smoking, drinking 5 or more beers at a time, fighting and suicidal ideation was 146(15.90%), 271(29.52%), 224(24.40%), 205( 22.33 %), respectively. Multivariate Logistic regression analysis showed that a significant positive association between experiencing at least one kind of childhood abuse and the behaviors of fighting, suicidal ideation, and overeating; between childhood emotional neglect with smoking and suicidal ideation; between childhood emotional abuse with fighting, suicidal ideation, and overeating; and between childhood sexual abuse with smoking( P <0.05).@*Conclusion@#Health risk behavior in college students is popular. Childhood abuse can increase the risk of health risk behaviors of college students.
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Objective@#To provide a basis for college students mental health education and guidance, the impact of psychological aggression and corporal punishment college students experienced before the age of 10 on anxiety and health risk behaviors was explored.@*Methods@#In April and May 2019, the convenience sampling method was used to conduct a questionnaire survey among all the freshman and sophomore students of some majors in two universities in Harbin, including a total of 2 150 students. The contents of the questionnaire included general information survey, Parent-Child Conflict Tactics Scale (CTSPC)，Self-Rating Anxiety Scale (SAS) and Adolescent Health related Risky Behavior Inventory (AHRBI).@*Results@#The percentage of college students who suffered psychological aggression and corporal punishment before the age of 10 was 80.05% and 58.37%. The detection rate of corporal punishment in boys and non-only child was significantly higher than that in girls and only child (P<0.05). The students who experienced psychological aggression and corporal punishment before the age of 10 had higher detection rates of anxiety state and six subscales of health risk behaviors than those who didn t experienced those (P<0.05). The Logistic regression analysis showed that, psychological aggression, place of residence, corporal punishment, and only child were positively associated with college students anxiety state (OR=1.85,1.53,1.49,1.34). The Logistic regression analysis showed that, psychological aggression, place of residence were positively associated with college students health-compromising behaviors (OR=1.60,1.26). Psychological aggression, gender factors, corporal punishment, and only child all influenced college students aggression and violence behavior (OR=1.75,1.66,1.63,1.28). Corporal punishment influenced college students suicide and self-injury behavior (OR=3.44). Gender factors and corporal punishment all influenced college students smoking and drinking behavior (OR=2.67,2.25).Corporal punishment and psychological aggression were positively associated with college students rule breaking behavior (OR=1.88,1.55). Corporal punishment, gender factors, and family income all influenced college students unprotected sexual behavior (OR=4.51,1.91,0.62).@*Conclusion@#Parental psychological aggression and corporal punishment college students experienced during childhood have a negative impact on their anxiety and health risk behaviors.
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Objective@#To understand mental health status of middle school students in Weifang, and to analyze its association with health risk behaviors, and to provide a reference basis for the effective prevention of mental health problems.@*Methods@#Using the self-designed questionnaire and Kessler l0 (K10), a total of 3 185 middle school students in Weifang selected by using stratified clustered sampling were investigated. Chi-square test and binary Logistic regression was used for statistical analysis.@*Results@#Among the middle school students in Weifang, 1 634(51.3%) reported good mental health, 854(26.8%) in moderate level, 394(12.4%) reported poor mental health, and 303(9.5%) reported very poor mental health. Sleep duration and smoking were associated with mental health of middle school students (P<0.05). Logistic regression analyses showed that, compared with adolescents with sleep duration less than 8 h, mental health among students whose sleep duration ≥8 h was better(OR=0.36); compared with non-smokers, students who smoked showed worse mental health status (OR=3.53).@*Conclusion@#Health-risk behaviors are closely related to mental health of middle school students. Relevant departments should strengthen education and publicity of healthy lifestyles, and pay close attention to the impact of health risk behaviors on mental health.
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Objective@#To identify the latent classes of various health risk behaviors among medical students and further analyze the correlation between different classes and depression.@*Methods@#Using the method of convenient sampling, 2 014 medical students were selected from Anhui Medical University in October 2018. Self-designed online questionnaire were used to collect demographic data, health risk behavior (including smoking, drinking, suicide, sleep disorders, mobile phone dependence and lack of exercise) and depressive symptoms. Latent Class Analysis was used to cluster individuals. Logistic regression was provided to further analyze the association between health risk behaviors and depressive symptoms for the groups.@*Results@#The health hazard behaviors of medical students could be divided into three separate classes: substance dependence group (8.4%), mobile phone dependence group (22.4%) and low-risk group (69.2%). The distribution of health risk behaviors of medical students with different gender, major, grade, only child，father s educational level，monthly living expenses, academic achievement and number of friends were statistically significant (χ 2=99.37,19.07,12.05,6.64,14.28,19.35,20.61,26.39,P<0.05). The results of Logistic regression analysis showed that after adjusting for gender, major, grade, only child, father s educational level，monthly living expenses, academic achievement and number of friends, the mobile phone dependence group was positively correlated with depressive symptoms (β=1.75, P<0.01).@*Conclusion@#Different ratent classes of health risk behaviors have different correlation with depressive symptoms in groups.It is suggested that school health workers should make individualized intervention plan for different types of health hazard behavior of medical students in the future educational activities, carry out stratified intervention, alleviate the symptoms of depression and promote the mental health of medical students.