Understanding how adherence goals promote adherence behaviours: a repeated measure observational study with HIV seropositive patients

BMC Public Health

Andrea Petróczi⁴  Paschal Sheeran⁴  Declan P Naughton²  Tamás Nepusz³  Rebecca Mullin¹  Kim Hawkins¹  Gareth Jones¹ 

[1] Department of Physiotherapy, Guy’s and St Thomas’ NHS Foundation Trust, London, UK;School of Life Sciences, Kingston University London, London, UK;Department of Biological Physics, Eötvös Loránd University, Budapest, Hungary;Department of Psychology, The University of Sheffield, Sheffield, UK

关键词: Hair analysis;    Implicit association test;    Social cognition;    Health related exercise;    Adherence;    HIV;   

Others  :  1163388
DOI  :  10.1186/1471-2458-12-587

 received in 2012-07-03, accepted in 2012-07-16,  发布年份 2012

【 摘 要 】

Background

The extent to which patients follow treatments as prescribed is pivotal to treatment success. An exceptionally high level (> 95%) of HIV medication adherence is required to suppress viral replication and protect the immune system and a similarly high level (> 80%) of adherence has also been suggested in order to benefit from prescribed exercise programmes. However, in clinical practice, adherence to both often falls below the desirable level. This project aims to investigate a wide range of psychological and personality factors that may lead to adherence/non-adherence to medical treatment and exercise programmes.

Methods

HIV positive patients who are referred to the physiotherapist-led 10-week exercise programme as part of the standard care are continuously recruited. Data on social cognitive variables (attitude, intention, subjective norms, self-efficacy, and outcome beliefs) about the goal and specific behaviours, selected personality factors, perceived quality of life, physical activity, self-reported adherence and physical assessment are collected at baseline, at the end of the exercise programme and again 3 months later. The project incorporates objective measures of both exercise (attendance log and improvement in physical measures such as improved fitness level, weight loss, improved circumferential anthropometric measures) and medication adherence (verified by non-invasive hair analysis).

Discussion

The novelty of this project comes from two key aspects, complemented with objective information on exercise and medication adherence. The project assesses beliefs about both the underlying goal such as following prescribed treatment; and about the specific behaviours such as undertaking the exercise or taking the medication, using both implicit and explicit assessments of patients’ beliefs and attitudes. We predict that i) the way people think about the underlying goal of their treatments explains medication and exercise behaviours over and above the effects of the behaviour-specific thinking and ii) the relationship between adherence to exercise and to medical treatment is stronger among those with more favourable views about the goal. Results from this study should identify the key contributing factors to inform subsequent adherence research and afford a more streamlined assessment matrix. The project also aims to inform patient care practices.

UK Clinical Research Network registration number

UKCRN 7842.

【 授权许可】

   
2012 Jones et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]The Antiretroviral Therapy Cohort Collaboration: Life expectancy of individuals on combination antiretroviral therapy in high-income countries: a collaborative analysis of 14 cohort studies. Lancet 2008, 372:293-299.
• [2]Ciccolo JT, Jowers EM, Bartholomew JB: The benefits of exercise training for quality of life in HIV/AIDS in the post-HAART era. Sport Med 2004, 34:487-499.
• [3]Hand GA, Phillips KD, Dudgeon WD, William Lyerly G, Larry Durstine J, Burgess SE: Moderate intensity exercise training reverses functional aerobic impairment in HIV-infected individuals. AIDS Care 2008, 20:1066-1074.
• [4]O’Brien K, Nixon S, Tynan A-M, Glazier RH: Effectiveness of aerobic exercise in adults living with HIV/AIDS: systemic review. Med Sci Sport Exer 2004, 36:1659-1666.
• [5]O’Brien K, Tynan A-M, Nixon S, Glazier RH: Effects of progressive resistive exercise in adults living with HIV/AIDS: systemic review and meta-analysis of randomized trials. Aids Care 2008, 20:631-653.
• [6]Fillipas S, Cherry CL, Cicuttini F, Smirneos L, Holland AE: The effects of exercise training on metabolic and morphological outcomes for people living with HIV: a systematic review of randomised controlled trials. HIV Clin Trials 2010, 11:270-82.
• [7]Baigis J, Korniewicz DM, Chase G, Butz A, Jacobson D, Wu AW: Effectiveness of a home-based exercise intervention for HIV-infected adults: a randomized trial. J Assoc Nurses AIDS Care 2002, 13:33-45.
• [8]Courneya KS: Efficacy, effectiveness, and behavior change trials in exercise research. Int J Behav Nutr Physical Activity 2010, 7:81. BioMed Central Full Text
• [9]Taylor NF, Dodd KJ, Shields N, Bruder A: Therapeutic exercise in physiotherapy practice is beneficial: a summary of systematic reviews 2002-2005. Aust J Physiother 2007, 53:7-16.
• [10]Barbour KA, Miller NH: Adherence to exercise training in heart failure: a review. Heart Fail Rev 2008, 13:81-89.
• [11]Myers LB, Horn SA: Adherence to chest physiotherapy in adults with cystic fibrosis. Health Psychol 2006, 11:915-926.
• [12]Tijou I, Yardley L, Sedikides C, Bizo L: Understanding adherence to physiotherapy: findings from an experimental simulation and an observational clinical study. Psychol Health 2010, 25:231-247.
• [13]Rhodes RE, Warburton DER, Murray H: Characteristics of physical activity guidelines and their effect on adherence: a review of randomized trials. Sports Med 2009, 39:355-375.
• [14]Williams NH, Hendry M, France B, Lewis R, Wilkinson C: Effectiveness of exercise-referral schemes to promote physical activity in adults: systematic review. Br J Gen Pract 2007, 57:979-986.
• [15]Fillipas S, Oldmeadow LB, Bailey MJ, Cherry CL: A six-month, supervised, aerobic and resistance exercise program improves self-efficacy in people with human immunodeficiency virus: a randomised controlled trial. Aust J Physiotherapy 2006, 52:185-192.
• [16]Fillipas S, Bowtell-Harris CA, Oldmeadow LB, Cicuttini F, Holland AE, Cherry CL: Physical activity uptake in patients with HIV: who does how much? Int J STD AIDS 2008, 19:514-518.
• [17]Petroczi A, Hawkins K, Jones G, Naughton DP: Exercise programme for HIV patients and the need for improved adherence: analysis of the relationship between patient characteristics and attendance. Open AIDS J 2010, 4:148-155.
• [18]Kyser M, Buchacz K, Bush TJ, Conley LJ, Hammer J, Henry K, Kojic EM, Milam J, Overton ET, Wood KC, Brooks JT: Factors associated with non-adherence to antiretroviral therapy in the SUN study. AIDS Care 2011, 23:601-611.
• [19]Kalichman SC, Rompa D, DiFonzo K, Simpson D, Austin J, Luke W, Kyomugisha F, Buckles J: HIV treatment adherence in women living with HIV/AIDS: research based on the Information-Motivation-Behavioral Skills model of health behavior. J Assoc Nurses AIDS Care 2001, 12:58-67.
• [20]Munro S, Lewin S, Swart T, Volmink J: A review of health behaviour theories: how useful are these for developing interventions to promote long-term medication adherence for TB and HIV/AIDS? BMC Public Health 2007, 7:104. BioMed Central Full Text
• [21]Ajzen I: The Theory of Planned behaviour. Org Behav Human Decision Processes 1991, 50:179-211.
• [22]Vissman AT, Hergenrather KC, Rojas G, Langdon SE, Wilkin AM, Rhodes SD: Applying the theory of planned behaviour to explore HAART adherence among HOV-positive immigrant Latinos: Elicitation interview results. Patient Educ Counsel 2011, 85:454-460.
• [23]Saal W, Kagee A: The applicability of the Theory of Planned Behaviour in predicting adherence to ART among a South African sample. Health Psychol 2012, 17:362-370.
• [24]de Briun , Sheeran P, Kok G, Hiemstra A, Prins JM, Hospers HJ, Breukelen GJP: Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviours. Health Psychol 2012.
• [25]Horne R: Treatment perceptions and self-regulation. In The self-regulation of health and illness behaviour. Edited by Cameron LD, Leventhal H. Routledge, New York, NY, US; 2003:138-153.
• [26]Gao X, Nau DP, Rosenbluth SA, Scott V, Woodward C: The relationship of disease severity, health beliefs and medication adherence among HIV patients. Aids Care 2000, 12:387-398.
• [27]Fogarty L, Roter D, Larson S, Burke J, Gillespie J, Levy R: Patient adherence to HIV medication regimens. A review of published and abstract reports. Patient Educ Counsel 2002, 46:93-108.
• [28]Stirrat MJ, Gordon CM: HIV treatment adherence research and intervention: current advances and future challenges. J HIV AIDS Soc Services 2007, 1/2:9-22.
• [29]Sherr L, Lampe F, Norwood S, Leake Date H, Harding R, Johnson M, Edwards S, Fisher M, Arthur G, Zetler S, Anderson J: Adherence to antiretroviral treatment in patients with HIV in the UK: a study of complexity. Aids Care 2008, 20:442-448.
• [30]Van Dyk AC: Differences between patients who do and do not adhere to antiretroviral therapy. J Assoc Nurses AIDS Care 2011, 22:269-282.
• [31]Reynolds NR, Testa MA, Marc LG, Chesney MA, Neidig JL, Smith SR, Vella S, Robbins GK, Protocol Teams of ACTG 384, ACTG 731, A5031s: Factors influencing medication adherence beliefs and self-efficacy in persons naive to antiretroviral therapy: a multicenter, cross-sectional study. AIDS Behav 2004, 8:141-150.
• [32]Amico KR, Harman JJ, Johnson BT: Efficacy of antiretroviral therapy adherence interventions: a research synthesis of trials, 1996 to 2004. J Acquir Immune Deficiency Syndr 2006, 41:285-297.
• [33]Cote JK, Godin G: Efficacy of interventions in improving adherence to antiretroviral therapy. Int J STD AIDS 2005, 16:335-343.
• [34]Gonzalez JS, Penedo FJ, Antoni MH, Durán RE, McPherson-Baker S, Ironson G, Isabel Fernandez M, Klimas NG, Fletcher MA, Schneiderman N: Social support, positive states of mind, and HIV treatment adherence in men and women living with HIV/AIDS. Health Psychol 2004, 23:413-418.
• [35]Kalichman SC: Co-occurrence of treatment nonadherence and continued HIV transmission risk behaviors: implications for positive prevention interventions. Psychosom Med 2008, 70:593-597.
• [36]Carballo E, Cadarso-Suárez C, Carrera I, Fraga J, de la Fuente J, Ocampo A, Ojea R, Prieto A: Assessing relationships between health-related quality of life and adherence to antiretroviral therapy. Qual Life Res 2004, 13:587-599.
• [37]Clingerman E: Physical activity, social support, and health-related quality of life among persons with HIV disease. J Community Health Nurs 2004, 21:179-197.
• [38]Falagas ME, Zarkadoulia EA, Pliatsika PA, Panos G: Socioeconomic status (SES) as a determinant of adherence to treatment in HIV infected patients: a systematic review of the literature. Retrovirology 2008, 5:13. BioMed Central Full Text
• [39]Ubbiali A, Donati D, Chiorri C, Bregani V, Cattaneo E, Maffei C, Visintini R: Prediction of adherence to antiretroviral therapy: can patients’ gender play some role? An Italian pilot study. AIDS Care 2008, 20:571-575.
• [40]Mugavero MJ, Lin H-Y, Allison JJ, Giordano TP, Willig JH, Raper JL, Wray NP, Cole SR, Schumacher JE, Davies S, Saag MS: Racial disparities in HIV virologic failure: do missed visits matter? J Acquir Immune Defic Syndr 2009, 50:100-108.
• [41]Deschamps AE, Graeve VD, van Wijngaerden E, De Saar V, Vandamme AM, van Vaerenbergh K, Ceunen H, Bobbaers H, Peetermans WE, de Vleeschouwer PJ, de Geest S: Prevalence and correlates of nonadherence to antiretroviral therapy in a population of HIV patients using Medication Event Monitoring System. AIDS Patient Care STDS 2004, 18:644-657.
• [42]Armitage CJ, Conner M: Social cognition models and health behaviour: A structured review. Psychol Health 2000, 15:173-189.
• [43]Janz NK, Becker MH: The health belief model: A decade later. Health Educ Quarterly 1984, 11:1-47.
• [44]McEachan RRC, Conner M, Taylor NJ, Lawton RJ: Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta analysis. Health Psychol Rev 2011, 5:97-144.
• [45]Rivis A, Sheeran P: Descriptive norms as an additional predictor in the theory of planned behaviour: a meta-analysis. Curr Psychol 2003, 22:218-233.
• [46]Manning M: The effects of subjective norms on behaviour in the theory of planned behaviour: a meta-analysis. Br J Soc Psychol 2009, 48:649-705.
• [47]Rise J, Sheeran P, Hukkelberg S: The role of self-identity in the theory of planned behaviour: a meta analysis. J Appl Soc Psychol 2010, 40:1085-1105.
• [48]Ajzen I: Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J Applied Social Psychol 2002, 31:665-683.
• [49]Sheeran P, Trafimow D, Armitage CJ: Predicting behaviour from perceived behavioural control: test of the accuracy assumption of the theory of planned behaviour. Br J Soc Psychol 2003, 42:393-410.
• [50]Sheeran P, Orbell S: Augmenting the theory of planned behaviour: roles for anticipated regret and descriptive norms. J Appl Soc Psychol 1999, 29:2107-2142.
• [51]Sandberg T, Conner M: Anticipated regret as an additional predictor in the theory of planned behaviour. Br J Social Psychol 2008, 47:589-606.
• [52]Perugini M, Bagozzi RP: The role of desires and anticipated emotions in goal-directed behaviours: broadening and deepening the theory of planned behaviour. Br J Social Psychol 2001, 40:79-98.
• [53]Rivis A, Sheeran P, Armitage CJ: Expanding the affective and normative components of the theory of planned behavior: A meta-analysis of anticipated affect and moral norms. J Appl Soc Psychol 2009, 39:2985-3019.
• [54]Cooke R, Sheeran P: Moderation of cognition-intention and cognition behaviour relations: a meta-analysis of properties of variables from the theory of planned behaviour. Br J Social Psychology 2004, 43:159-186.
• [55]Rivis A, Sheeran P, Armitage CJ: Augmenting the theory of planned behaviour with the prototype/willingness model; predictive validity of actor versus abstainer prototypes for adolescents’ health-protective and health-risk intentions. Br J Health Psychol 2006, 11:483-500.
• [56]Conner M, Abraham C: Conscientiousness and the theory of planned behaviour: toward a more complete model of the antecendents of intentions and behaviour. Pers Soc Psychol Bull 2001, 27:1547-1561.
• [57]Perugini M, Conner M: Predicting and understanding behavioural volitions: the interplay between goals and behaviors. Eur J Social Psychol 2000, 30:705-731.
• [58]Armitage CJ, Conner M: Efficacy of the Theory of Planned Behaviour: a meta-analytic review. Br J Soc Psychol 2001, 40:471-99.
• [59]Gollwitzer PM, Sheeran P: Implementation intentions and goal achievement: a metal analysis of effects and processes. Adv Exp Soc Psychol 2006, 38:69-120.
• [60]Carver CS, Scheier MF: Control theory: a useful conceptual framework for personality – social, clinical and health psychology. Psychol Bull 1982, 92:111-135.
• [61]Mischel W: From good intentions to willpower. In The psychology of action. Edited by Gollwitzer P, Bargh J. Guilford, New York; 1996:197-218.
• [62]Baumeister RF, Vohs KD, Tice DM: The strength model of self-control. Curr Dir Psychol Sci 2007, 16:351-355.
• [63]Williams GC, Rodin GC, Ryan RM, Grolnick WS, Deci EL: Autonomous regulation and long-term medication adherence in adult outpatients. J Health Psychol 1998, 17:269-276.
• [64]Clark NM: Management of chronic disease by patients. Annu Rev Public Health 2003, 24:289-313.
• [65]Kubzansky LD, Park N, Peterson C, Vokonas P, Sparrow D: Healthy psychological functioning and incident coronary heart disease: the importance of self-regulation. Arch Gen Psychiatry 2011, 68:400-408.
• [66]Knittle K, Maes S, de Gucht V: Psychological interventions for rheumatoid arthritis: examining the role of self-regulation with a systematic review and meta-analysis of randomized controlled trials. Arthritis Care Res 2010, 62:1460-1472.
• [67]Jansen DL, Heijmans M, Rijken M, Kaptein AA: The development of and first experiences with a behavioural self-regulation intervention for end-stage renal disease patients and their partners. Health Psychol 2011, 16:274-283.
• [68]Higgins ET: Self-discrepancy: A theory relating self and affect. Psychol Rev 1987, 94:319-340.
• [69]McCrae RR, Löckenhoff CE: Self-regulation and the Five-Factor Model of personality traits. In Handbook of personality and self-regulation. Edited by Hoyle RH. Wiley-Blackwell, Oxford, UK; 2010.
• [70]Matthews G, Schwean VL, Campbell SE, Saklofske DH, Mohamed AAR: Personality, self-regulation, and adaptation: A cognitive-social framework. In Handbook of self-regulation. 2nd edition. Edited by Boekaerts M, Pintrich PR, Zeidner M. Academic, San Diego, CA, US; 2005:171-207.
• [71]Costa PT, McCrae RR: The NEO Five Factor Inventory (NEO FFI). Psychological Assessment Resources Inc., Florida; 1992.
• [72]Carver CS: Impulse and constraint: Perspectives from personality psychology, convergence with theory in other areas, and potential for integration. Person Soc Psychol Rev 2005, 9:312-333.
• [73]Roberts BW, Chernyshenko OS, Stark S, Goldberg LR: The structure of conscientiousness: An empirical investigation based on seven major personality questionnaires. Pers Psychol 2005, 58:103-139.
• [74]Baumeister RF, Gailliot M, DeWall CN, Oaten M: Self-regulation and personality: How interventions increase regulatory success, and how depletion moderates the effects of traits on behavior. J Personality 2006, 74:1773-1801.
• [75]Hoyle RH: Personality processes and problem behavior. J Pers 2000, 68:953-966.
• [76]Terracciano A, McCrae RR, Brant LJ, Costa PT: Hierarchical linear modeling analyses of NEO-PI-R scales in the Baltimore Longitudinal Study of Aging. Psychol Aging 2005, 20:493-506.
• [77]Terracciano A, Costa PT, McCrae RR: Personality plasticity after age 30. Pers Soc Psychol Bull 2006, 32:999-1009.
• [78]Roberts BW, Mroczek D: Personality trait change in adulthood. Curr Dir Psychol Sci 2008, 17:31-35.
• [79]Roberts BW, Walton KE, Viechtbauer W: Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychol Bull 2006, 132:1-25.
• [80]Costa PT, Terracciano A, McCrae RR: Gender differences in personality traits across cultures: robust and surprising findings. J Pers Soc Psychol 2001, 81:322-331.
• [81]Feingold A: Gender differences in personality: A meta-analysis. Psychol Bull 1994, 116:429-456.
• [82]Kling KC, Hyde JS, Showers CJ, Buswell BN: Gender differences in self-esteem: A meta-analysis. Psychol Bull 1999, 125:470-500.
• [83]McCrae RR, Terracciano A: Personality profiles of cultures: Aggregate personality traits. J Pers Soc Psychol 2005, 89:407-425.
• [84]Allik J, McCrea RR: Toward a geography of personality traits: patterns of profiles across 36 cultures. J Cross-Cultural Psychol 2004, 35:13-28.
• [85]Taras V, Kirkman BL, Steel P: Examining the impact of culture's consequences: A three-decade, multilevel, meta-analytic review of Hofstede's cultural value dimensions. J Appl Psychol 2010, 95:405-439.
• [86]Foldes HJ, Duehr EE, Ones DS: Group differences in personality: Meta-analyses comparing five U.S. racial groups. Personnel Psychol 2008, 61:579-616.
• [87]Baron RM, Kenny DA: The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Pers Soc Psychol 1986, 51:1173-1182.
• [88]Evans JS: Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 2008, 59:255-278.
• [89]Zelazo PD, Cunningham W: Executive function: Mechanisms underlying emotion regulation. In Handbook of emotion regulation. Edited by Gross J. Guilford Press, New York; 2007:135-158.
• [90]Sherman JW, Gawronski B, Gonsalkorale K, Hugenberg K, Allen TJ, Groom CJ: The Self-regulation of automatic associations and behavioral impulses. Psychol Rev 2008, 115:314-335.
• [91]Hughes S, Barnes-Holmes D, de Houwer J: The dominance of associative theorizing in implicit attitude research: propositional and behavioural alternatives. Psychol Record 2011, 61:465-496.
• [92]Nosek BA, Hawkins CB, Frazier RS: Implicit social cognition: from measures to mechanisms. Trends Cogn Sci 2011, 15:152-159.
• [93]McClelland DC, Koestner R, Weinberger J: How do self-attributed and implicit motives differ? Psychol Rev 1989, 96:690-702.
• [94]Greenwald AG, Banaji MR: Implicit social cognition: attitudes, self-esteem, and stereotypes. Psychol Rev 1995, 102:4-27.
• [95]Greenwald AG, Banaji MR, Rudman LA, Farnham SD, Nosek BA, Mellott DS: A unified theory of implicit attitudes, stereotypes, self-esteem and self-concept. Psychol Rev 2002, 109:3-25.
• [96]Conner MT, Perugini M, O’Gorman R, Ayres K, Prestwitch A: Relations between implicit and explicit measures of attitudes and measures of behaviour: evidence of moderation by individual difference variables. Pers Soc Psychol Bull 2007, 33:1727-1740.
• [97]Nosek BA, Riskind RG: Policy implications of implicit social cognition. Social Issues Policy Rev 2012, 6:113-147.
• [98]Greenwald AG, McGhee DE, Schwartz JLK: Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol 1998, 74:1464-1480.
• [99]Pronin E: How we see ourselves and how we see others. Science 2008, 320:1177-1180.
• [100]Gawronski B, Hofmann W, Wilbur C: Are “implicit” attitudes unconscious? Consciousness and Cognition 2006, 15:485-499.
• [101]De Houwer J, Moors A: How to define and examine the implicitness of implicit measures. In Implicit measures of attitudes: Procedures and controversies. Edited by Wittenbrink B, Schwarz N. Guilford Press, New York; 2007:179-194.
• [102]McDaniel MJ, Beier ME, Perkins AW, Goggin S, Frankel B: An assessment of the fakeability of self-report and implicit personality measures. J Res Pers 2009, 43:682-685.
• [103]Greenwald AG, Poehlman TA, Uhlmann EL, Banaji MR: Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. J Pers Soc Psychol 2009, 97:17-41.
• [104]Perugini M, Richetin J, Zogmaister C: Prediction of behavior. In Handbook of implicit social cognition: measurement, theory, and applications. Edited by Gawronski B, Payne BK. Guilford Press, New York; 2010:255-277.
• [105]Maison D, Greenwald AG, Bruin R: Predictive validity of the Implicit Association Test in studies of brands, consumer attitudes, and behavior. J Consum Psychol 2004, 14:405-415.
• [106]Brunel FF, Tietje BC, Greenwald AG: Is the Implicit AssociationTest a valid and valuable measure of implicit consumer social cognition? J Consum Psychol 2004, 14:385-404.
• [107]Bargh JA: Losing consciousness: Automatic influences on consumer judgment, behavior, and motivation. J Consum Res 2002, 29:280-285.
• [108]von Hippel W, Brener L, von Hippel C: Implicit prejudice toward injecting drug users predicts intentions to change jobs among drug and alcohol nurses. Psychol Sci 2008, 19:7-11.
• [109]Petróczi A, Uvacsek M, Deshmukh N, Shah I, Nepusz T, Aidman EV, Tóth M, Barker J, Naughton DP: Incongruence in doping related attitudes, beliefs and opinions in the context of discordant behavioural data: In which measure do we trust? PLoS One 2011, 6:e18804.
• [110]Vianello M, Robusto E, Anselmi P: Implicit conscientiousness predicts academic performance. Pers Indiv Diff 2010, 48:452-457.
• [111]Nock MK, Banaji MR: Prediction of suicide ideation and attempts among adolescents using a brief performance-based test. J Consult Clin Psychol 2007, 75:707-715.
• [112]Nock MK, Park JM, Finn CT, Deliberto TL, Dour HJ, Banaji MR: Measuring the suicidal mind: implicit cognition predicts suicidal behavior. Psychol Sci 2010, 21:511-517.
• [113]Stacy AW, Wiers RW: Implicit cognition and addiction: a tool for explaining paradoxical behaviour. Ann Rev Clin Psychol 2010, 6:551-575.
• [114]Rothman AJ, Sheeran P, Wood W: Reflective and automatic processes in the initiation and maintenance of dietary change. Ann Behav Med 2009, 38(Suppl 1):S4-17.
• [115]Millar MG: Predicting dental flossing behavior: the role of implicit and explicit responses and beliefs. Basic Appl Soc Psychol 2011, 33:7-15.
• [116]Grenard JL, Ames SL, Stacy AW: Deliberative and spontaneous cognitive processes associated with HIV risk behavior. J Behav Med 2012.
• [117]Sriram N, Greenwald AG: The Brief Implicit Association Test. Exp Psychol 2009, 56:283-294.
• [118]Hofmann W, Gawronski B, Gschwendner T, Le H, Schmitt M: A meta-analysis on the correlation between the implicit association test and explicit self-report measures. Pers Soc Psychol Bull 2005, 31:1369-1385.
• [119]Olson MA, Fazio RH: Implicit and explicit measures of attitudes: The perspective of the MODE mode. In Attitudes: Insights from the new implicit measures. Edited by Petty RE, Fazio RH, Briñol P. Psychology Press, New York, NY; 2008:19-63.
• [120]Lucas GM: Antiretroviral adherence, drug resistance, viral fitness and HIV disease progression: a tangled web is woven. J Antimicrob Chemother 2005, 55:413-416.
• [121]Bernard L, Peytavin G, Vuagnat A, de Truchis P, Perronne C: Indinavir concentrations in hair from patients receiving highly active antiretroviral therapy. Lancet 1998, 352:1757-1758.
• [122]Duval X, Peytavin G, Breton G, Ecobichon JL, Descamps D, Thabut G, Leport C: Hair versus plasma concentrations as indicator of indinavir exposure in HIV-1-infected patients treated with indinavir/ritonavir combination. AIDS 2007, 21:106-108.
• [123]Huang Y, Yang Q, Yoon K, Lei Y, Shi R, Gee W, Lin ET, Greenblatt RM, Gandhi M: Microanalysis of the antiretroviral nevirapine in human hair from HIV-infected patients by liquid chromatography-tandem mass spectrometry. Anal Bioanal Chem 2011, 401:1923-1933.
• [124]Huang Y, Gandhi M, Greenblatt RM, Gee W, Lin ET, Massenkoff N: Sensitive analysis of anti-HIV drugs, efavirenz, lopinavir and ritonavir, in human hair by liquid chromatography coupled with tandem mass spectrometry. Rapid Commun Mass Spectrom 2008, 22:3401-3409.
• [125]Gandhi M, Ameli N, Bacchetti P, Gange SJ, Anastos K, Levine A, Hyman CL, Cohen M, Young M, Huang Y, Greenblatt RM, Women's Interagency HIV Study (WIHS): Protease inhibitor levels in hair strongly predict virologic response to treatment. AIDS 2009, 23:471-478.
• [126]Crosby RD, Kolotkin RL, Williams GR: Defining clinically meaningful change in health-related quality of life. J Clin Epidemiol 2003, 56:395-407.
• [127]de Vet HC, Terwee CB, Ostelo RW, Beckerman H, Knol DL, Bouter LM: Minimal changes in health status questionnaires: distinction between minimally detectable change and minimally important change. Health Qual Life Outcomes 2006, 4:54. BioMed Central Full Text
• [128]O'Bryant SE, Humphreys JD, Smith GE, Ivnik RJ, Graff-Radford NR, Petersen RC, Lucas JA: Detecting dementia with the mini-mental state examination in highly educated individuals. Arch Neurol 2008, 65:963-967.
• [129]Peterman AH, Cella D, Mo F, McCain N: Psychometric validation of the revised Functional Assessment of Human Immunodeficiency Virus Infection (FAHI) quality of life instrument. Qual Life Res 1997, 6:572-584.
• [130]Haddock CK, Poston WSC, Pyle SA, Klesges RC, Vander Weg MW, Peterson A, Debon A: The validity of self-rated health as a measure of health status among young military personnel: evidence from a cross-sectional survey. Health Qual Life Outcomes 2006, 4:57. BioMed Central Full Text
• [131]Epstein S, Pacini R, Denes-Raj V, Heier H: Individual differences in intuitive–experiential and analytical–rational thinking styles. J Pers Social Psychol 1996, 71:390-405.
• [132]Strahan R, Gerbasi KC: Short, homogeneous versions of the Marlowe-Crowne Social Desirability Scale. J Clin Psychol 1972, 28:191-193.
• [133]International Physical Activity Questionnaire (IPAQ). [https://sites.google.com/site/theipaq/ webcite]
• [134]Sheeran P: Intention-behaviour relations: a conceptual and empirical review. In European review of social psychology. 12th edition. Edited by Stroebe W, Hewstone M. Wiley, New York; 2002:1-30.
• [135]NAISD Adult AIDS Clinical Trials Group: ACTG Baseline Adherence Questionnaire. https://actgnetwork.org webcite
• [136]Greenwald AG, Nosek BA, Banaji MR: Understanding and using the implicit association test: I. An improved scoring algorithm. J Pers Soc Psychol 2003, 85:197-216.
• [137]Nosek BA, Bar-Anan Y, Sriram N, Greenwald AG: Understanding and using the Brief Implicit Association Test: I. Recommended scoring procedures. 2012. Unpublished manuscript posted on the Project Implicit website [http://projectimplicit.net/papers.html webcite] on 02/01/2012
• [138]Faul F, Erdfelder E, Lang AG, Buchner A: G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007, 39:175-191.
• [139]NHS Code of Confidentiality. [http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_4069254.pdf webcite]
• [140]Human Tissue Act. 2004. [http://www.legislation.gov.uk/ukpga/2004/30/contents webcite]
• [141]Health Protection Agency- HIV- diagnosed persons seen for HIV care survey of prevalent HIV infections diagnosed (SOPHID) South East London data tables. 2010. [http://www.hpa.org.uk/webc/HPAwebFile/HPAweb_C/1222928474546 webcite]
• [142]Robin AL, Novack GD, Covert DW, Crockett RS, Marcic TS: Adherence in glaucoma: objective measurements of once-daily and adjunctive medication use. Am J Ophthalmol 2007, 144:533-540.
• [143]Gray SL, Mahoney JE, Blough DK: Medication adherence in elderly patients receiving home health services following hospital discharge. Ann Pharmacother 2001, 35:539-45.
• [144]Winkler A, Teuscher AU, Mueller B, Diem P: Monotoring adherence to prescribed medication in type 2 diabetic patients treated with sulfonylureas. Swiss Med Wkly 2002, 132:379-385.
• [145]Skrajner MJ, Camp CJ, Heckman TG, Haberman JL, Kochman A: A fluctuating pattern of over- and under-adherence for HAART: A case study from a Videophone Intervention Project. Clin Gerontol 2011, 34:144-153.