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Analysis On Psychosocial Factors And Research On Part Neurophysiological Mechanisms Of Adolescent Risk Behavior

Posted on:2010-12-21Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y ZhaoFull Text:PDF
GTID:1115360305992826Subject:Psychiatry and mental health
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Objective (1) As to adolescent from 13 to 23, observed occurrence situation of 7 common risk behaviors, based which, further discussed psychosocial factors interrelated with adolescent risk behavior and mutual influence rules of these factors. (2) Adopted neurophysiology research method, applied Go/NoGo psychological paradigm reflecting impulsive inhibit feature, and discussed neurophysiological mechanisms of impulsive inhibit feature of high impulsiveness adolescent.Method Study 1 Adopt RBQ-A, CES-D, MASC, SEQ, FF1-N, BIS-11, RSQ, ALEQ, AI and self-edited general questionnaire to take test and assess on 1403 adolescents, and use SPSS 16.0 and AMOS5.0 to take statistical treatment including chi square test, t test, correlation and regression analysis. Study 2 Divide testees according to impulsiveness scale scores, one standard deviation over average is high impulsiveness score group, one standard deviation lower than average is low impulsiveness group to observe and record two groups of Go/NoGo tasks'ERPs composition amplitude, latent period, waveform and brain mapping, etc.Result (1) Study 1 showed total detection rate of adolescent risk behavior is 12.2%, adolescent risk behavior detection rate and occurrence frequency in different genders, ages and families show different features. Adolescent risk behavior total score had significant positive correlation with depression, anxiety, self-esteem, neuroticism, impulsiveness, life events and maladaptive coping strategies, and negative correlation with intrinsic; among which, life events, intrinsic, impulsiveness and self-esteem enter into risk behavior regression equation in order. Analysis result of vulnerability factor×stress stratified regression and stress interaction made significant increasing change on prediction rate of risk behavior R2. (2) Study 2 Impulsiveness neurophysiology research showed P3 composition amplitude at point FZ, F3, F4, FC3 and FC4 induced by high impulsiveness score group during Nogo task was significantly lower than that of low impulsiveness group. Compared with low impulsiveness group, high impulsiveness group got similar brain distribution in terms of brain electrical activity change, but larger distribution scope trend, stronger brain electrical activity, with significant change in frontal region during Nogo task.Conclusion (1) Risk behavior is popular among adolescents, and adolescent risk behavior has different features at different genders, ages and families. (2) Risk behavior occurrence has different-degree relation with personality, self-esteem, negative emotion, impulsiveness, life events, personal lust, stress coping method. (3) Depression, anxiety, personality, maladaptive coping strategies method and other vulnerability factors make little impact without stress function, but once with stress, they will make great impact on risk behavior. (4) High impulsiveness adolescent may get frontal lobe dysfunction. Study 1 Analysis on Characteristic and Interrelated Psychosocial Factors of Adolescent Risk BehaviorObjective As to adolescent from 13 to 23, observed occurrence situation of 7 common risk behaviors, based which, further discussed psychosocial factors interrelated with adolescent risk behavior and mutual influence rules of these factors.Method Adopt RBQ-A, CES-D, MASC, SEQ, FF1-N, BIS-11, RSQ, ALEQ, AI and self-edited general questionnaire to take test and assess on 1403 adolescents, and use SPSS 16.0 and AMOS5.0 to take statistical treatment including chi square test, t test, correlation and regression analysis.Result (1) Adolescent risk behavior detection rate:total detection rate of adolescent risk behavior was 12.2%, ranking from high to low: aberrant behavior, aggressive or violent behavior, risk, damage or illegal behavior, autolesionism, tobacco, alcohol or drug use, unprotected sex. Male students were significantly higher than female students at risk behavior total score, aggressive or violent behavior score, aberrant behavior score, risk, damage or illegal behavior score. Total detection rate of prepuberty adolescent risk behavior and aggressive or violent behavior was significantly higher than that of postpubescence adolescent. Detection rate of risk, damage and illegal behavior of students from villages was significantly higher than that from cities. Detection rate of unprotected sex, aggressive and violent behavior of students from high income families was significantly higher than that from low income families. Total detection rate of risk behavior and detection rate of aggressive or violent behavior and aberrant behavior of the only child was significantly higher than that of non-only child. (2) Adolescent risk behavior frequency:except for autolesionism, other risk behaviors frequency of male students was higher than that of female students. Risk behavior total score, alcohol or drug use, smoking behavior frequency of prepuberty adolescent was significantly lower than that of postpubescence adolescent. Aggressive or violent behavior frequency of adolescent from high income families was significantly higher than that from low income families, while their smoking frequency was significantly lower than that from low income families. Risk, damage or illegal behavior and smoking frequency of the only child are significantly higher that that of non-only child. (3) Analysis on social psychological factors of adolescent risk behavior:adolescent risk behavior total score had significant positive correlation with depression, anxiety, self-esteem, neuroticism, impulsiveness, life events and maladaptive coping strategies, and negative correlation with intrinsic; among which, life events, intrinsic, impulsiveness and self-esteem enter into risk behavior regression equation in order. Analysis result of vulnerability factor×stress stratified regression and stress interaction made significant increasing change on prediction rate of risk behavior R2.Conclusion (1) Risk behavior is popular among adolescents, and adolescent risk behavior has different features at different genders, ages and families. (2) Risk behavior occurrence has different-degree relation with personality, self-esteem, negative emotion, impulsiveness, life events, personal lust, stress coping method. (3) Depression, anxiety, personality, maladaptive coping strategies method and other vulnerability factors make little impact without stress function, but once with stress, they will make great impact on risk behavior. Study 2 Research on Part neurophysiological mechanisms of Adolescent Risk BehaviorObjective Adopted neurophysiology research method, applied Go/NoGo psychological paradigm reflecting impulsive inhibit feature, and discussed neurophysiological mechanisms of impulsive inhibit feature of high impulsiveness adolescent.Method Divide testees according to impulsiveness scale scores, one standard deviation over average is high impulsiveness group, one standard deviation lower than average is low impulsiveness group to observe and record two groups of Go/NoGo tasks'ERPs composition amplitude, latent period, waveform and brain mapping, etc.Result (1) P3 composition amplitude at point FZ, F3, F4, FC3 and FC4 induced by high impulsiveness group during Nogo task was significantly lower than that of low impulsiveness group. (3)Compared with low impulsiveness group, high impulsiveness group got similar brain distribution in terms of brain electrical activity change, but larger distribution scope trend, stronger brain electrical activity, with significant change in frontal region during Nogo task.Conclusion (1) Compared with low impulsiveness group, high impulsiveness adolescent needs more brain energy to complete the same inhibited reaction. (2) High impulsiveness adolescent may get frontal lobe dysfunction.
Keywords/Search Tags:risk behavior, adolescent, psychosocial factors, ERPs
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