Connection
Angela Bryan to Condoms
This is a "connection" page, showing publications Angela Bryan has written about Condoms.
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Connection Strength |
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4.998 |
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Gillman AS, Yeater EA, Feldstein Ewing SW, Kong AS, Bryan AD. Risky Sex in High-Risk Adolescents: Associations with Alcohol Use, Marijuana Use, and Co-Occurring Use. AIDS Behav. 2018 04; 22(4):1352-1362.
Score: 0.554
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Ewing SW, Bryan AD. A Question of Love and Trust? The Role of Relationship Factors in Adolescent Sexual Decision Making. J Dev Behav Pediatr. 2015 Oct; 36(8):628-34.
Score: 0.466
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Callahan TJ, Caldwell Hooper AE, Thayer RE, Magnan RE, Bryan AD. Relationships between marijuana dependence and condom use intentions and behavior among justice-involved adolescents. AIDS Behav. 2013 Oct; 17(8):2715-24.
Score: 0.405
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Montanaro EA, Bryan AD. Comparing theory-based condom interventions: health belief model versus theory of planned behavior. Health Psychol. 2014 Oct; 33(10):1251-60.
Score: 0.403
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Broaddus MR, Schmiege SJ, Bryan AD. An expanded model of the temporal stability of condom use intentions: gender-specific predictors among high-risk adolescents. Ann Behav Med. 2011 Aug; 42(1):99-110.
Score: 0.349
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Schmiege SJ, Broaddus MR, Levin M, Bryan AD. Randomized trial of group interventions to reduce HIV/STD risk and change theoretical mediators among detained adolescents. J Consult Clin Psychol. 2009 Feb; 77(1):38-50.
Score: 0.293
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Broaddus MR, Bryan A. Consistent condom use among juvenile detainees: the role of individual differences, social bonding, and health beliefs. AIDS Behav. 2008 Jan; 12(1):59-67.
Score: 0.262
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Bryan A, Ray LA, Cooper ML. Alcohol use and protective sexual behaviors among high-risk adolescents. J Stud Alcohol Drugs. 2007 May; 68(3):327-35.
Score: 0.260
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Bryan A, Kagee A, Broaddus MR. Condom use among South African adolescents: developing and testing theoretical models of intentions and behavior. AIDS Behav. 2006 Jul; 10(4):387-97.
Score: 0.245
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Bryan A, Rocheleau CA, Robbins RN, Hutchinson KE. Condom use among high-risk adolescents: testing the influence of alcohol use on the relationship of cognitive correlates of behavior. Health Psychol. 2005 Mar; 24(2):133-42.
Score: 0.224
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Schmiege SJ, Magnan RE, Yeater EA, Feldstein Ewing SW, Bryan AD. Randomized Trial to Reduce Risky Sexual Behavior Among Justice-Involved Adolescents. Am J Prev Med. 2021 01; 60(1):47-56.
Score: 0.168
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Bryan AD, Fisher JD, Fisher WA, Murray DM. Understanding condom use among heroin addicts in methadone maintenance using the information-motivation-behavioral skills model. Subst Use Misuse. 2000 Mar; 35(4):451-71.
Score: 0.158
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Caouette JD, Hudson KA, Bryan AD, Feldstein Ewing SW. Featured Article: Adolescent Condom Use and Connectivity in the Social-Planful Brain. J Pediatr Psychol. 2018 09 01; 43(8):821-830.
Score: 0.142
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Feldstein Ewing SW, Hudson KA, Caouette J, Mayer AR, Thayer RE, Ryman SG, Bryan AD. Sexual risk-taking and subcortical brain volume in adolescence. Ann Behav Med. 2018 04 19; 52(5):393-405.
Score: 0.139
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Hansen NS, Thayer RE, Feldstein Ewing SW, Sabbineni A, Bryan AD. Neural Correlates of Risky Sex and Response Inhibition in High-Risk Adolescents. J Res Adolesc. 2018 03; 28(1):56-69.
Score: 0.138
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Bryan AD, Aiken LS, West SG. Young women's condom use: the influence of acceptance of sexuality, control over the sexual encounter, and perceived susceptibility to common STDs. Health Psychol. 1997 Sep; 16(5):468-79.
Score: 0.133
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Bryan AD, Aiken LS, West SG. Increasing condom use: evaluation of a theory-based intervention to prevent sexually transmitted diseases in young women. Health Psychol. 1996 Sep; 15(5):371-82.
Score: 0.124
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Bryan AD, Schmiege SJ, Magnan RE. Marijuana use and risky sexual behavior among high-risk adolescents: trajectories, risk factors, and event-level relationships. Dev Psychol. 2012 Sep; 48(5):1429-42.
Score: 0.091
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Tybur JM, Bryan AD, Magnan RE, Hooper AE. Smells like safe sex: olfactory pathogen primes increase intentions to use condoms. Psychol Sci. 2011 Apr; 22(4):478-80.
Score: 0.085
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Bryan AD, Schmiege SJ, Broaddus MR. HIV risk reduction among detained adolescents: a randomized, controlled trial. Pediatrics. 2009 Dec; 124(6):e1180-8.
Score: 0.077
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Bryan A, Robbins RN, Ruiz MS, O'Neill D. Effectiveness of an HIV prevention intervention in prison among African Americans, Hispanics, and Caucasians. Health Educ Behav. 2006 Apr; 33(2):154-77.
Score: 0.060
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Bryan AD, Fisher JD, Benziger TJ. Determinants of HIV risk among Indian truck drivers. Soc Sci Med. 2001 Dec; 53(11):1413-26.
Score: 0.045
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DiClemente RJ, Rosenbaum JE, Rose ES, Sales JM, Brown JL, Renfro TL, Bradley ELP, Davis TL, Capasso A, Wingood GM, Liu Y, West SG, Hardin JW, Bryan AD, Feldstein Ewing SW. Horizons and Group Motivational Enhancement Therapy: HIV Prevention for Alcohol-Using Young Black Women, a Randomized Experiment. Am J Prev Med. 2021 05; 60(5):629-638.
Score: 0.042
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Bryan AD, Fisher JD, Benziger TJ. HIV prevention information, motivation, behavioral skills and behaviour among truck drivers in Chennai, India. AIDS. 2000 Apr 14; 14(6):756-8.
Score: 0.040
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Gibson LP, Gust CJ, Gillman AS, Bryan AD, Feldstein Ewing SW. Mechanisms of Action for Empirically Supported Interventions to Reduce Adolescent Sexual Risk Behavior: A Randomized Controlled Trial. J Adolesc Health. 2020 07; 67(1):53-60.
Score: 0.040
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Schmiege SJ, Meek P, Bryan AD, Petersen H. Latent variable mixture modeling: a flexible statistical approach for identifying and classifying heterogeneity. Nurs Res. 2012 May-Jun; 61(3):204-12.
Score: 0.023
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Ferrer RA, Amico KR, Bryan A, Fisher WA, Cornman DH, Kiene SM, Fisher JD. Accuracy of the stages of change algorithm: sexual risk reported in the maintenance stage of change. Prev Sci. 2009 Mar; 10(1):13-21.
Score: 0.018
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Cornman DH, Schmiege SJ, Bryan A, Benziger TJ, Fisher JD. An information-motivation-behavioral skills (IMB) model-based HIV prevention intervention for truck drivers in India. Soc Sci Med. 2007 Apr; 64(8):1572-84.
Score: 0.016
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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