期刊论文详细信息
BMC Medical Research Methodology
Development and psychometric properties of the health-risk behavior inventory for Chinese adolescents
Randy P Auerbach1  Shuqiao Yao2  Xiongzhao Zhu2  Muli Hu2  Lin Cai2  Jinyao Yi2  Mengcheng Wang2 
[1] Child and Adolescent Mood Disorders Laboratory, McLean Hospital, Harvard Medical School, 115 Mill Street, Belmont, MA 02478, USA;Medical Psychological Institute, Second Xiangya Hospital, Central South University, #139 Ren-Min Zhong Road, Changsha 410011, China
关键词: Validity;    Reliability;    Health-Risk behavior;    Adolescent;   
Others  :  1136563
DOI  :  10.1186/1471-2288-12-94
 received in 2012-03-04, accepted in 2012-07-07,  发布年份 2012
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【 摘 要 】

Background

There is a growing body of research investigating adolescent risk behaviors in China, however, a comprehensive measure that evaluates the full spectrum of relevant risk behaviors is lacking. In order to address this important gap, the current study sought to develop and validate a comprehensive tool: the Health-Risk Behavior Inventory for Chinese Adolescents (HBICA).

Methods

Adolescents, ages 14–19 years (n = 6,633), were recruited from high schools across 10 cities in mainland China. In addition, a clinical sample, which included 326 adolescents meeting DSM-IV criteria for Conduct Disorder, was used to evaluate predictive validity of the HBICA. Psychometric properties including internal consistency (Cronbach’s alpha), test-retest reliability, convergent validity, and predictive validity were analyzed.

Results

Based upon item analysis and exploratory factor analysis, we retained 33 items, and 5 factors explained 51.75% of the total variance: Suicide and Self-Injurious Behaviors (SS), Aggression and Violence (AV), Rule Breaking (RB), Substance Use (SU), and Unprotected Sex (US). Cronbach’s alphas were good, from 0.77 (RB) to 0.86 (US) for boys, and from 0.74 (SD) to 0.83(SS) for girls. The 8 weeks test–retest reliabilities were moderate, ranged from 0.66 (AV) to 0.76 (SD). External validities was strong, with Barratt Impulsiveness Scale-11 was 0.35 (p < 0.01), and with aggressive behavior and rule-breaking behavior subscales of the Youth Self Report were 0.54 (p < 0.01) and 0.68 (p < 0.01), respectively. Predictive validity analysis also provided enough discriminantity, which can distinguish high risky individual effectively (cohen’ d = 0.79 – 2.96).

Conclusions

These results provide initial support for the reliability and validity of the Health-Risk Behavior Inventory for Chinese Adolescents (HBICA) as a comprehensive and developmentally appropriate assessment instrument for risk behaviors in Chinese adolescents.

【 授权许可】

   
2012 Wang et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Bardone AM, Moffit TE, Caspi A, Dickson N, Silva PA: Adult mental health and social outcomes of adolescent girls with depression and conduct disorder. Dev Psychopathol 1996, 8:811-829.
  • [2]Emery RE, Waldron M, Kitzmann KM, Aaron J: Delinquent behavior, future divorce or nonmarital childbearing, and externalizing behavior among offspring: a 14-year prospective study. J Fam Psychol 1999, 13:568-579.
  • [3]Markey CN, Markey PM, Tinsley BJ: Personality, puberty, and preadolescent girls’ risky behaviors: examining the predictive value of the five-factor model of personality. J Res Pers 2003, 37:405-419.
  • [4]Centers for Disease Control and Prevention: High School YRBS—United States 2009 Results. http://www.cdc.gov/mmwr/pdf/ss/ss5905.pdf webcite
  • [5]Ji X: Prevalence of drinking behavior among Chinese secondary school students. Chinese Journal of School Health 2010, 31:1153-1156.
  • [6]Xing X, Tao F, Wan Y, Xing C, Qi X, Hao J, Su P, Pan H, Huang L: Family factors associated with suicide attempts among Chinese adolescent students: a national cross-sectional survey. J Adolesc Health 2010, 46:592-599.
  • [7]Xing Y, Ji C, Zhang L: Relationship of binge drinking and other health-compromising behaviors among urban adolescents in China. J Adolesc Health 2006, 39:495-500.
  • [8]Li X, Fang X, Stanton BF, Dong Q: The rate and pattern of alcohol consumption among Chinese adolescents. J Adolesc Health 1996, 19:353-361.
  • [9]Greenberger E, Chen C, Beam M, Whang S, Dong Q: The perceived social contexts of adolescents’ misconduct: A comparative study of youths in three cultures. J Res Adolesc 2000, 10:365-388.
  • [10]Hesketh T, Ding QJ, Tomkins A: Smoking among youths in China. Am J Public Health 2001, 91:1653-1655.
  • [11]National Bureau of Statistics of China: Data of China fifth population census. http://www.stats.gov.cn/tjsj/ndsj/renkoupucha/2000pucha/html/ webcite
  • [12]Auerbach RP, Claro A, Abela JRZ, Zhu X, Yao S: Understanding risky behavior engagement amongst Chinese adolescents. Cognit Ther Res 2010, 34:159-167.
  • [13]Auerbach RP, McWhinnie CM, Goldfinger M, Abela JRZ, Zhu X, Yao S: The cost of materialism in a collectivistic culture: Predicting risky behavior engagement in Chinese adolescents. J Clin Child Adolesc Psychol 2010, 39:117-127.
  • [14]Auerbacha RP, Abela JRZ, Zhu X, Yao S: A diathesis-stress model of engagement in risky behaviors in Chinese adolescents. Behav Res Ther 2007, 45:2850-2860.
  • [15]Adams CD, Perkins KC, Lumley V, Hughes C, Burns JJ, Omar HA: Validation of the Perkins Adolescent Risk Screen (PARS). J Adolesc Health 2003, 33:462-470.
  • [16]Knight JR, Shrier LA, Bravender TD, Farrell M, Bilt JV, Shaffer HJ: A new brief screen for adolescent substance abuse. Arch Pediatr Adolesc Med 1999, 153:591-596.
  • [17]Knight JR, Goodman E, Pulerwitz T, Durant RH: Reliability of the Problem Oriented Screening Instrument for Teenagers (POSIT) in Adolescent Medical Practice. J Adolesc Health 2001, 29:125-130.
  • [18]Ursprung SA, Morello P, Gershenson B, DiFranza JT: Development of a measure of the latency to needing a cigarette. J Adolesc Health 2011, 48:338-343.
  • [19]Sigel E, Hart J, Hoffenberg A, Dodge M: Development and psychometric properties of a violence screening tool for primary care. J Adolesc Health 2011, 48:358-365.
  • [20]Jankowski MK, Rosenberg HJ, Sengupta A, Rosenberg SD, Wolford GL: Development of a Screening Tool to Identify Adolescents Engaged in Multiple Problem Behaviors: The Adolescent Risk Behavior Screen (ARBS). J Adolesc Health 2007, 40(180):e19-e26.
  • [21]Lescano CM, Hadley WS, Beausoleil NI, Brown LK, Deramo D, Zimskind A: A brief screening measure of adolescent risk behavior. Child Psychiatry Hum Dev 2007, 37:325-336.
  • [22]Rahdert ER: The Adolescent Assessment/Referral System Manual. U.S. Department of Health and Human Services, Alcohol, Drug Abuse, and Mental Health Administration, Rockville, MD; 1991.
  • [23]Achenbach TM: Manual for the Child Behavior Checklist/4–18 and 1991 Profile. University of Vermont, Department of Psychiatry, Burlington; 1991.
  • [24]Centers for Disease Control and Prevention: Youth Risk Behavioral Surveillance Survey, 2009 Questionnaire. http://www.cdc.gov/healthyyouth/yrbs/questionnaire_rationale.htm webcite
  • [25]Brener ND, Collins JL, Kann L, Mcmanus T, Kinchen SA, Sundberg EC, Ross JG: Reliability of the youth risk behavior survey questionnaire. Am J Epidemiol 1995, 141:575-580.
  • [26]Yao S, Huiqin Y, Zhu X, Auerbach RP, Abela JRZ, Pulleyblank R, Tong X: An examination of the psychometric properties of the Chinese translation of the Barratt Impulsiveness Scale, 11th version in a sample of Chinese adolescents. Percept Mot Skills 2007, 104:1169-1182.
  • [27]Leung PW, Kwong SL, Tang CP, Ho TP, Hung SF, Lee CC: Test-retest reliability and criterion validity of the Chinese version of the CBCL, TRF, and YSR. J Child Psychol Psychiatry 2006, 47:970-973.
  • [28]First MB, Spitzer RL, Gibbon M, Williams J: Structured Clinical Interview for DSM–IV Axis I Disorders, Research Version, Patient Edition (SCID-I/P). Biometrics Research, New York State Psychiatric Institute, New York; 1997.
  • [29]Satorra A, Bentler P: A scaled difference chi-square test statistic for moment structure analysis. Psychometrika 2001, 66:507-514.
  • [30]Kline RB: Principles and practice of structural equation modeling. 3rd edition. Guilford, New Youk; 2010.
  • [31]Maron DJ, Telch MJ, Killen JD, Vranizan KM: Correlates of seat belt use by adolescents: implications for health promotion. Prev Med 1986, 15:614-623.
  • [32]Turbin MS, Jessor R, Costa FM: Adolescent cigarette smoking: health related behavior or normative transgression? Prev Sci 2000, 1:115-124.
  • [33]Kulbok PA, Cox CL: Dimensions of Adolescent Health Behavior. J Adolesc Health 2002, 31:394-400.
  • [34]Donovan JE, Jessor R, Costa FM: Syndrome of problem behavior in adolescence: A replication. J Consult Clin Psychol 1988, 56:762-765.
  • [35]Hayaki J, Anderson B, Stein M: Sexual Risk Behaviors Among Substance Users: Relationship to Impulsivity. Psychol Addict Behav 2006, 20:328-332.
  • [36]Tapert S, Aarons G, Sedlar G, Brown SA: Adolescent substance use and sexual risk-taking behaviour. J Adolesc Health 2001, 28:181-189.
  • [37]Byrnes JP, Miller DC, Schafer WD: Gender differences in risk taking: a meta-analysis. Psychol Bull 1999, 125:367-383.
  • [38]Liu XC, Kurita H, Uchiyama M, Okawa M, Liu L, Ma D: Life events, locus of control, and behavioral problems among Chinese adolescents. J Clin Psychol 2000, 56:1565-1577.
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