Evaluation of a Newly Developed Transdiagnostic Cognitive Behavioral Therapy Group to Promote Healthy Aging Among Older People with HIV: Study Protocol for a Pilot Randomized Controlled Trial

References

• Centers for Disease Control and Prevention. Estimated HIV Incidence and Prevalence in the United States, 2010–2016. Centers for Disease Control and Prevention; 2019.
   Google Scholar
• Samji H, Cescon A, Hogg RS, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS One. 2013;8(12):e81355. doi:10.1371/journal.pone.0081355
   PubMed Web of Science ®Google Scholar
• High KP, Brennan-Ing M, Clifford DB, et al. HIV and aging: state of knowledge and areas of critical need for research. A report to the NIH Office of AIDS Research by the HIV and Aging Working Group. J Acqu Imm Defic Synd. 2012;60:S1–18. doi:10.1097/QAI.0b013e31825a3668
   PubMed Web of Science ®Google Scholar
• Guaraldi G, Orlando G, Zona S, et al. Premature age-related comorbidities among HIV-infected persons compared with the general population. Clin Infect Dis. 2011;53(11):1120–1126. doi:10.1093/cid/cir627
   PubMed Web of Science ®Google Scholar
• Schouten J, Wit FW, Stolte IG, et al. Cross-sectional comparison of the prevalence of age-associated comorbidities and their risk factors between HIV-infected and uninfected individuals: the AGEhIV cohort study. Clin Infect Dis. 2014;59(12):1787–1797. doi:10.1093/cid/ciu701
   PubMed Web of Science ®Google Scholar
• Erlandson KM, Piggott DA. Frailty and HIV: moving from Characterization to Intervention. Current HIV/AIDS Reports. 2021;18(3):157–175. doi:10.1007/s11904-021-00554-1
   PubMed Web of Science ®Google Scholar
• Roberts AB, Sporn MB. Transforming growth factor-β. Molec Cellu Bio Wound Rep. 1988;1988:275–308.
   Google Scholar
• Tanaka T, Narazaki M, Kishimoto T. IL-6 in inflammation, immunity, and disease. Cold Spring Harbor Perspect Biol. 2014;6(10):a016295–a016295. doi:10.1101/cshperspect.a016295
   PubMed Web of Science ®Google Scholar
• Sproston NR, Ashworth JJ. Role of C-reactive protein at sites of inflammation and infection. Front Immunol. 2018;9(754). doi:10.3389/fimmu.2018.00754
   Google Scholar
• Du Clos TW. Function of C-reactive protein. Anna Med. 2000;32(4):274–278. doi:10.3109/07853890009011772
   PubMed Web of Science ®Google Scholar
• Liguori I, Russo G, Curcio F, et al. Oxidative stress, aging, and diseases. Clin Interv Aging. 2018;13:757–772. doi:10.2147/CIA.S158513
   PubMed Web of Science ®Google Scholar
• Chung HY, Kim DH, Lee EK, et al. Redefining chronic inflammation in aging and age-related diseases: proposal of the senoinflammation concept. Aging Dis. 2019;10(2):367–382. doi:10.14336/AD.2018.0324
   PubMed Web of Science ®Google Scholar
• Leserman J. HIV disease progression: depression, stress, and possible mechanisms. Biol Psychiatry. 2003;54(3):295–306. doi:10.1016/S0006-3223(03)00323-8
   PubMed Web of Science ®Google Scholar
• Leserman J. Role of depression, stress, and trauma in HIV disease progression. Psychosomatic Med. 2008;70(5):539–545. doi:10.1097/PSY.0b013e3181777a5f
   PubMed Web of Science ®Google Scholar
• Rabkin JG. HIV and depression: 2008 review and update. Current HIV/Aids Reports. 2008;5(4):163–171. doi:10.1007/s11904-008-0025-1
   PubMedGoogle Scholar
• O’Cleirigh C, Hart TA, James CA. HIV and anxiety. Anx Health Behav Phys Illness. 2008;2008:317–340.
   Google Scholar
• O’Donovan A, Hughes BM, Slavich GM, et al. Clinical anxiety, cortisol and interleukin-6: evidence for specificity in emotion–biology relationships. Brain Behav Immun. 2010;24(7):1074–1077. doi:10.1016/j.bbi.2010.03.003
   PubMed Web of Science ®Google Scholar
• Pitsavos C, Panagiotakos DB, Papageorgiou C, et al. Anxiety in relation to inflammation and coagulation markers, among healthy adults: the ATTICA study. Atherosclerosis. 2006;185(2):320–326. doi:10.1016/j.atherosclerosis.2005.06.001
   PubMed Web of Science ®Google Scholar
• Howren MB, Lamkin DM, Suls J. Associations of Depression With C-Reactive Protein, IL-1, and IL-6: a Meta-Analysis. Psychosomatic Med. 2009;71(2):171–186. doi:10.1097/PSY.0b013e3181907c1b
   PubMed Web of Science ®Google Scholar
• Norcini Pala A, Steca P, Bagrodia R, et al. Subtypes of depressive symptoms and inflammatory biomarkers: an exploratory study on a sample of HIV-positive patients. Brain Behav Immun. 2016;56:105–113. doi:10.1016/j.bbi.2016.02.013
   PubMed Web of Science ®Google Scholar
• Irwin MR, Miller AH. Depressive disorders and immunity: 20 years of progress and discovery. Brain Behav Immun. 2007;21(4):374–383. doi:10.1016/j.bbi.2007.01.010
   PubMed Web of Science ®Google Scholar
• Veith RC, Lewis N, Linares OA, et al. Sympathetic nervous system activity in major depression: basal and desipramine-induced alterations in plasma norepinephrine kinetics. Arch Gen Psychiatry. 1994;51(5):411–422. doi:10.1001/archpsyc.1994.03950050071008
   PubMed Web of Science ®Google Scholar
• Gupta D, Morley JE. Hypothalamic-pituitary-adrenal (HPA) axis and aging. Compr Physiol. 2014;4(4):1495–1510.
   PubMed Web of Science ®Google Scholar
• Balasubramanian P, Hall D, Subramanian M. Sympathetic nervous system as a target for aging and obesity-related cardiovascular diseases. Geroscience. 2019;41(1):13–24. doi:10.1007/s11357-018-0048-5
   PubMed Web of Science ®Google Scholar
• Gialluisi A, Bonaccio M, Di Castelnuovo A, et al. Lifestyle and biological factors influence the relationship between mental health and low-grade inflammation. Brain Behav Immun. 2020;85:4–13. doi:10.1016/j.bbi.2019.04.041
   PubMed Web of Science ®Google Scholar
• Scott KM, Lim C, Al-Hamzawi A, et al. Association of mental disorders with subsequent chronic physical conditions: world mental health surveys from 17 countries. JAMA Psychiatry. 2016;73(2):150–158. doi:10.1001/jamapsychiatry.2015.2688
   PubMed Web of Science ®Google Scholar
• Thyfault JP, Du M, Kraus WE, et al. Physiology of sedentary behavior and its relationship to health outcomes. Med Sci Sports Exerc. 2015;47(6):1301–1305. doi:10.1249/MSS.0000000000000518
   PubMed Web of Science ®Google Scholar
• Yin L, Morita A, Tsuji T. Tobacco smoke extract induces age-related changes due to modulation of TGF-beta. Exp Dermatol. 2003;12(s2):51–56. doi:10.1034/j.1600-0625.12.s2.8.x
   PubMedGoogle Scholar
• Gao X, Zhang Y, Breitling LP, et al. Relationship of tobacco smoking and smoking-related DNA methylation with epigenetic age acceleration. Oncotarget. 2016;7(30):46878–46889. doi:10.18632/oncotarget.9795
   PubMedGoogle Scholar
• Piper MD, Bartke A. Diet and aging. Cell Metab. 2008;8(2):99–104. doi:10.1016/j.cmet.2008.06.012
   PubMed Web of Science ®Google Scholar
• Beach SR, Dogan MV, Lei MK, et al. Methylomic aging as a window onto the influence of lifestyle: tobacco and alcohol use alter the rate of biological aging. J Am Geriatr Soc. 2015;63(12):2519–2525. doi:10.1111/jgs.13830
   PubMed Web of Science ®Google Scholar
• Luo A, Jung J, Longley M, et al. Epigenetic aging is accelerated in alcohol use disorder and regulated by genetic variation in APOL2. Neuropsychopharmacology. 2020;45(2):327–336. doi:10.1038/s41386-019-0500-y
   PubMed Web of Science ®Google Scholar
• Lawrence D, Hancock KJ, Kisely S. The gap in life expectancy from preventable physical illness in psychiatric patients in Western Australia: retrospective analysis of population based registers. BMJ. 2013;346:f2539. doi:10.1136/bmj.f2539
   PubMed Web of Science ®Google Scholar
• Braithwaite RS, Fang Y, Tate J, et al. Do alcohol misuse, smoking, and depression vary concordantly or sequentially? A longitudinal study of HIV-infected and matched uninfected veterans in care. AIDS & Behav. 2016;20(3):566–572. doi:10.1007/s10461-015-1117-8
   PubMed Web of Science ®Google Scholar
• Schuch F, Vancampfort D, Firth J, et al. Physical activity and sedentary behavior in people with major depressive disorder: a systematic review and meta-analysis. J Affect Disord. 2017;210:139–150. doi:10.1016/j.jad.2016.10.050
   PubMed Web of Science ®Google Scholar
• Vancampfort D, Stubbs B, Mugisha J, et al. Correlates of sedentary behavior in 2375 people with depression from 6 low- and middle-income countries. J Affect Disord. 2018;234:97–104. doi:10.1016/j.jad.2018.02.088
   PubMed Web of Science ®Google Scholar
• Jamali F, Izadi A, Khalili H, et al. Correlation between daily dietary micronutrients intake and mental health outcomes in Iranians living with HIV infection. J Assoc Nurs AIDS Care. 2016;27(6):817–825. doi:10.1016/j.jana.2016.07.001
   PubMed Web of Science ®Google Scholar
• Isaac R, Jacobson D, Wanke C, et al. Declines in dietary macronutrient intake in persons with HIV infection who develop depression. Public Health Nutr. 2008;11(2):124–131. doi:10.1017/S1368980007000067
   PubMed Web of Science ®Google Scholar
• O’Toole M, Bovbjerg D, Renna M, et al. Effects of psychological interventions on systemic levels of inflammatory biomarkers in humans: a systematic review and meta-analysis. Brain Behav Immun. 2018;74:68–78. doi:10.1016/j.bbi.2018.04.005
   PubMed Web of Science ®Google Scholar
• Safren SA, Bedoya CA, O’Cleirigh C, et al. Cognitive behavioural therapy for adherence and depression in patients with HIV: a three-arm randomised controlled trial. Lancet HIV. 2016;3(11):e529–e538. doi:10.1016/S2352-3018(16)30053-4
   PubMed Web of Science ®Google Scholar
• Safren SA, Otto MW, Worth JL. Life-steps: applying cognitive behavioral therapy to HIV medication adherence. Cognit Behav Pract. 1999;6(4):332–341. doi:10.1016/S1077-7229(99)80052-2
   Google Scholar
• Magidson JF, Seitz-Brown CJ, Safren SA, et al. Implementing behavioral activation and life-steps for depression and HIV medication adherence in a community health center. Cognit Behav Pract. 2014;21(4):386–403. doi:10.1016/j.cbpra.2013.10.002
   PubMed Web of Science ®Google Scholar
• Pu H, Hernandez T, Sadeghi J, et al. Systematic review of cognitive behavior therapy to improve mental health of women living with HIV. J Invest Med. 2020;68(1):30–36. doi:10.1136/jim-2019-000996
   PubMed Web of Science ®Google Scholar
• Shi Y, Zhao M, Chen S, et al. Effects of cognitive behavioral therapy on people living with HIV and depression: a systematic review and meta-analysis. Psychol Health Med. 2019;24(5):578–594. doi:10.1080/13548506.2018.1549739
   PubMed Web of Science ®Google Scholar
• Scott-Sheldon LAJ, Balletto BL, Donahue ML, et al. Mindfulness-based interventions for adults living with HIV/AIDS: a systematic review and meta-analysis. AIDS Behav. 2019;23(1):60–75. doi:10.1007/s10461-018-2236-9
   PubMed Web of Science ®Google Scholar
• Craske MG. Cognitive–Behavioral Therapy. American Psychological Association; 2010.
   Google Scholar
• Rothbaum BO, Meadows EA, Resick P, et al. Cognitive-behavioral therapy; 2000.
   Google Scholar
• Hayes SC, Hofmann SG. The third wave of cognitive behavioral therapy and the rise of process-based care. World Psychiatry. 2017;16(3):245–246. doi:10.1002/wps.20442
   PubMed Web of Science ®Google Scholar
• Epstein RM. Mindful practice. JAMA. 1999;282(9):833–839. doi:10.1001/jama.282.9.833
   PubMed Web of Science ®Google Scholar
• Dunlosky J, Metcalfe J. Metacognition. Sage Publications; 2008.
   Google Scholar
• Germer CK, Neff KD. Self‐compassion in clinical practice. J Clin Psychol. 2013;69(8):856–867. doi:10.1002/jclp.22021
   PubMed Web of Science ®Google Scholar
• Hayes SC, Strosahl KD, Wilson KG. Acceptance and Commitment Therapy. Washington, DC: American Psychological Association; 2009.
   Google Scholar
• Moffitt TE, Caspi A. Psychiatry’s opportunity to prevent the rising burden of age-related disease. JAMA Psychiatry. 2019;76(5):461–462. doi:10.1001/jamapsychiatry.2019.0037
   PubMed Web of Science ®Google Scholar
• Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Informat. 2009;42(2):377–381. doi:10.1016/j.jbi.2008.08.010
   PubMed Web of Science ®Google Scholar
• Sheehan DV, Lecrubier Y, Sheehan KH, et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59(20):22–33.
   PubMed Web of Science ®Google Scholar
• Batchelder AW, Foley JD, Wirtz MR, et al. Substance use stigma, avoidance coping, and missed HIV appointments Among MSM who use substances. AIDS Behav. 2020;2020:1.
   Google Scholar
• Batchelder AW, Choi K, Dale SK, et al. Effects of syndemic psychiatric diagnoses on health indicators in men who have sex with men. Health Psychol. 2019;38(6):509–517. doi:10.1037/hea0000724
   PubMed Web of Science ®Google Scholar
• Kessler RC, Andrews G, Colpe LJ, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–976. doi:10.1017/S0033291702006074
   PubMed Web of Science ®Google Scholar
• Cohen S, Kamarck T, Mermelstein R. Perceived stress scale. Measu Stress. 1994;10:1–2.
   Google Scholar
• Pakenham K, Rinaldis M. Development of the HIV/AIDS stress scale. Psychol Health. 2002;17(2):203–219. doi:10.1080/08870440290013680
   Web of Science ®Google Scholar
• Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. doi:10.1046/j.1525-1497.2001.016009606.x
   PubMed Web of Science ®Google Scholar
• Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine. 2006;166(10):1092–1097. doi:10.1001/archinte.166.10.1092
   PubMed Web of Science ®Google Scholar
• Heatherton TF, Kozlowski LT, Frecker RC, et al. The fagerstrom test for nicotine dependence: a revision of the fagerstrom tolerance questionnaire. Br J Addict. 1991;86(9):1119–1127. doi:10.1111/j.1360-0443.1991.tb01879.x
   PubMedGoogle Scholar
• Selin KH. Test‐retest reliability of the alcohol use disorder identification test in a general population sample. Alcohol Clin Exp Res. 2003;27(9):1428–1435. doi:10.1097/01.ALC.0000085633.23230.4A
   PubMed Web of Science ®Google Scholar
• Fowles JR, O’Brien MW, Wojcik WR, et al. A pilot study: validity and reliability of the CSEP-PATH PASB-Q and a new leisure time physical activity questionnaire to assess physical activity and sedentary behaviours. Appl Physiol Nutr Metab. 2017;42(6):677–680. doi:10.1139/apnm-2016-0412
   PubMed Web of Science ®Google Scholar
• Jilcott SB, Keyserling TC, Samuel-Hodge CD, et al. Validation of a brief dietary assessment to guide counseling for cardiovascular disease risk reduction in an underserved population. J Am Diet Assoc. 2007;107(2):246–255. doi:10.1016/j.jada.2006.11.006
   PubMedGoogle Scholar
• Batchelder AW, Moskowitz JT, Jain J, et al. A novel technology-enhanced internalized stigma and shame intervention for HIV-positive persons with substance use disorders. Cognit Behav Pract. 2020;27(1):55–69. doi:10.1016/j.cbpra.2019.03.001
   PubMed Web of Science ®Google Scholar
• Freedland KE. Pilot trials in health-related behavioral intervention research: problems, solutions, and recommendations. Health Psychol. 2020;39(10):851–862. doi:10.1037/hea0000946
   PubMed Web of Science ®Google Scholar
• Vaismoradi M, Jones J, Turunen H, et al. Theme development in qualitative content analysis and thematic analysis; 2016.
   Google Scholar
• Laidlaw K. Self-acceptance and aging: using self-acceptance as a mediator of change in CBT with older people. The Strength of Self-Acceptance: theory. Pract Res. 2013;2013:263–279.
   Google Scholar
• Striegl J, Gotthardt M, Loitsch C, et al. Investigating the usability of voice assistant-based CBT for age-related depression. International Conference on Computers Helping People with Special Needs. Springer; 2022:432–441.
   Google Scholar
• Hyer L, Kramer D, Sohnle S. CBT with older people: alterations and the value of the therapeutic alliance. Psychotherapy. 2004;41(3):276. doi:10.1037/0033-3204.41.3.276
   Web of Science ®Google Scholar
• Babowitch JD, Antshel KM. Adolescent treatment outcomes for comorbid depression and substance misuse: a systematic review and synthesis of the literature. J Affect Disord. 2016;201:25–33. doi:10.1016/j.jad.2016.04.018
   PubMed Web of Science ®Google Scholar
• Hops H, Ozechowski TJ, Waldron HB, et al. Adolescent health-risk sexual behaviors: effects of a drug abuse intervention. AIDS & Behav. 2011;15(8):1664–1676. doi:10.1007/s10461-011-0019-7
   PubMed Web of Science ®Google Scholar
• Taylor SW, Psaros C, Pantalone DW, et al. ”Life-Steps” for PrEP adherence: demonstration of a CBT-based intervention to increase adherence to preexposure prophylaxis (PrEP) medication among sexual-minority men at high risk for HIV acquisition. Cognit Behav Pract. 2017;24(1):38–49. doi:10.1016/j.cbpra.2016.02.004
   PubMed Web of Science ®Google Scholar
• Czajkowski SM, Powell LH, Adler N, et al. From ideas to efficacy: the ORBIT model for developing behavioral treatments for chronic diseases. Health Psychol. 2015;34(10):971–982. doi:10.1037/hea0000161
   PubMed Web of Science ®Google Scholar
• National Institute on Aging. NIH stage model for behavioral intervention development; 2024.
   Google Scholar
• Alam I, Gul R, Chong J, et al. Recurrent circadian fasting (RCF) improves blood pressure, biomarkers of cardiometabolic risk and regulates inflammation in men. J Transl Med. 2019;17:1–29. doi:10.1186/s12967-019-2007-z
   PubMed Web of Science ®Google Scholar