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Connecting the dots: a comparison of network analysis and exploratory factor analysis to examine psychosocial syndemic indicators among HIV-negative sexual minority men

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Abstract

Syndemics, or comorbid and mutually reinforcing psychosocial problems, are associated with increased HIV risk among men who have sex with men (MSM). Although the dynamic interplay among syndemic indicators is theorized to be crucial for increasing risk of HIV acquisition, novel approaches are needed to understand how these syndemic problems interrelate. This study examined the associations between nine self-reported syndemic indicators in 194 MSM at high risk of HIV acquisition. We compared exploratory factor analyses (EFA) to a network analysis. In the present study, network analysis consisted of edges representing bidirectional partial polychoric correlations between nodes, which represent psychosocial syndemic indicators. EFA yielded a 1-factor solution including suicidal ideation (SI), injection drug use (IDU), depression, social anxiety, intimate partner violence, substance use, and sexual compulsivity, and excluded heavy drinking and childhood sexual abuse. Network analysis yielded a pattern of interconnectedness with the most central nodes being SI, IDU, substance use, and depression. Statistically significant relationships (absolute edge weights) were found between SI and depression, social anxiety, and IDU, and IDU and substance use. These results suggest that depression and substance use, especially more severe presentations of these conditions such as SI and IDU, are prominent interconnected components of the HIV syndemic among MSM at high risk for HIV acquisition. SI, IDU, substance use, and depression may indeed be prudent targets of intervention. Future research on the inclusion of these syndemic indicators in analytical models involving interaction terms may be warranted.

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Notes

  1. A hyperparameter of γ = .5 was employed to produce a network with higher specificity and sensitivity than that of a smaller hyperparameter, such as .25 or .1. Sensitivity analyses using hyperparameters of γ = .25 and γ = .1 were conducted, though are not reported here, to determine the appropriateness of a hyperparameter of γ = .5. Network analyses using hyperparameters of γ = .25 and γ = .1 revealed a pattern of results that were not ostensibly different than that of the network analysis presented in the current study, using a hyperparameter of γ = .5. Because the hyperparameter of γ = .5 is more a conservative estimate than that of smaller hyperparameters, and the pattern of results between all three hyperparameters tested were nearly identical, the network analysis using a hyperparameter of γ = .5 is presented to produce a network with higher specificity and sensitivity.

References

  • Batchelder, A. W., Choi, K., Dale, S. K., Pierre-Louis, C., Sweek, E. W., Ironson, G., et al. (2019). Effects of syndemic psychiatric diagnoses on health indicators in men who have sex with men. Health Psychology, 38, 509–517. https://doi.org/10.1037/hea0000724

    Article  PubMed  PubMed Central  Google Scholar 

  • Bauer, D. J., & Curran, P. J. (2003). Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. Psychological Methods, 8, 338.

    Article  Google Scholar 

  • Bauer, D. J., & Curran, P. J. (2004). The integration of continuous and discrete latent variable models: Potential problems and promising opportunities. Psychological Methods, 9, 3.

    Article  Google Scholar 

  • Bernaards, C., & Jennrich, R. (2014). GPArotation: GPA factor rotation. https://CRAN.R-project.org/package=GPArotation

  • Blashill, A. J., Tomassilli, J., Biello, K., O’Cleirigh, C., Safren, S. A., & Mayer, K. H. (2016). Body dissatisfaction among sexual minority men: Psychological and sexual health outcomes. Archives of Sexual Behavior, 45, 1241–1247. https://doi.org/10.1007/s10508-015-0683-1

    Article  PubMed  PubMed Central  Google Scholar 

  • Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D.-U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424, 175–308. https://doi.org/10.1016/j.physrep.2005.10.009

    Article  Google Scholar 

  • Borsboom, D., & Cramer, A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121.

    Article  Google Scholar 

  • Bowleg, L. (2012). The problem with the phrase women and minorities: intersectionality—An important theoretical framework for public health. American Journal of Public Health, 102, 1267–1273. https://doi.org/10.2105/AJPH.2012.300750

    Article  PubMed  PubMed Central  Google Scholar 

  • Bränström, R., & Pachankis, J. E. (2018). Validating the syndemic threat surrounding sexual minority men’s health in a population-based study with national registry linkage and a heterosexual comparison. JAIDS Journal of Acquired Immune Deficiency Syndromes. https://doi.org/10.1097/QAI.0000000000001697

    Article  PubMed  Google Scholar 

  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245–276. https://doi.org/10.1207/s15327906mbr0102_10

    Article  CAS  PubMed  Google Scholar 

  • CDC. (2017). HIV among gay and bisexual men. U.S. Department of Health and Human Services, Centers for Disease and Prevention. https://www.cdc.gov/nchhstp/newsroom/docs/factsheets/cdc-msm-508.pdf

  • Centers for Disease Control and Prevention. (2018). HIV among gay and bisexual men. HIV/AIDS. https://www.cdc.gov/hiv/group/msm/index.html

  • Choi, K. W., Batchelder, A. W., Ehlinger, P. P., Safren, S. A., & O’Cleirigh, C. (2017). Applying network analysis to psychological comorbidity and health behavior: Depression, PTSD, and sexual risk in sexual minority men with trauma histories. Journal of Consulting and Clinical Psychology, 85, 1158.

    Article  Google Scholar 

  • Choi, K. W., Smit, J. A., Coleman, J. N., Mosery, N., Bangsberg, D. R., Safren, S. A., et al. (2019). Mapping a syndemic of psychosocial risks during pregnancy using network analysis. International Journal of Behavioral Medicine, 26, 207–216. https://doi.org/10.1007/s12529-019-09774-7

    Article  PubMed  PubMed Central  Google Scholar 

  • Connor, K. M., Davidson, J. R. T., Churchill, L. E., Sherwood, A., Weisler, R. H., & Foa, E. (2000). Psychometric properties of the Social Phobia Inventory (SPIN). The British Journal of Psychiatry, 176, 379. https://doi.org/10.1192/bjp.176.4.379

    Article  CAS  PubMed  Google Scholar 

  • Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33, 137–193. https://doi.org/10.1017/S0140525X09991567

    Article  PubMed  Google Scholar 

  • Epskamp, S., Costantini, G., Haslbeck, J., Cramer, A. O. J., Waldorp, L. J., & Borsboom, V. D. S. (2017). qgraph: Graph plotting methods, psychometric data visualization and graphical model estimation. https://CRAN.R-project.org/package=qgraph

  • Epskamp, S., & Fried, E. I. (2017). Bootnet: Bootstrap methods for various network estimation routines. https://CRAN.R-project.org/package=bootnet

  • Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods. https://doi.org/10.1037/met0000167

    Article  PubMed  Google Scholar 

  • Ferlatte, O., Hottes, T. S., Trussler, T., & Marchand, R. (2014). Evidence of a syndemic among young Canadian gay and bisexual men: Uncovering the associations between anti-gay experiences, psychosocial issues, and HIV risk. AIDS and Behavior, 18, 1256–1263.

    Article  Google Scholar 

  • Finkelhor, D. (1994). Current information on the scope and nature of child sexual abuse. The Future of Children, 4, 31–53. https://doi.org/10.2307/1602522

    Article  CAS  PubMed  Google Scholar 

  • Fox, J., Nie, Z., Byrnes, J., Culbertson, M., DebRoy, S., Friendly, M., et al. (2017). Sem: Structural equation models. https://CRAN.R-project.org/package=sem

  • Fried, E. I., Epskamp, S., Nesse, R. M., Tuerlinckx, F., & Borsboom, D. (2016). What are “good” depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. Journal of Affective Disorders, 189, 314–320. https://doi.org/10.1016/j.jad.2015.09.005

    Article  PubMed  Google Scholar 

  • Fried, E. I., & Haslbeck, J. (2018). Depression and (no) inflammation? Using network analysis to examine links between individual depressive symptoms and inflammatory markers. PsyArXiv. https://doi.org/10.31234/osf.io/84ske

  • Ghosh, D., Krishnan, A., Gibson, B., Brown, S.-E., Latkin, C. A., & Altice, F. L. (2017). Social Network strategies to address HIV prevention and treatment continuum of care among at-risk and HIV-infected substance users: A systematic scoping review. AIDS and Behavior, 21, 1183–1207. https://doi.org/10.1007/s10461-016-1413-y

    Article  PubMed  PubMed Central  Google Scholar 

  • Guadamuz, T. E., McCarthy, K., Wimonsate, W., Thienkrua, W., Varangrat, A., Chaikummao, S., et al. (2014). Psychosocial health conditions and HIV prevalence and incidence in a cohort of men who have sex with men in Bangkok, Thailand: Evidence of a syndemic effect. AIDS and Behavior, 18, 2089–2096. https://doi.org/10.1007/s10461-014-0826-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Halkitis, P. N., Moeller, R. W., Siconolfi, D. E., Storholm, E. D., Solomon, T. M., & Bub, K. L. (2013). Measurement model exploring a syndemic in emerging adult gay and bisexual men. AIDS and Behavior, 17, 662–673. https://doi.org/10.1007/s10461-012-0273-3

    Article  PubMed  PubMed Central  Google Scholar 

  • Hart, T. A., & Heimberg, R. G. (2005). Social anxiety as a risk factor for unprotected intercourse among gay and bisexual male youth. AIDS and Behavior, 9, 505–512.

    Article  Google Scholar 

  • Hart, T. A., Noor, S. W., Vernon, J. R. G., Antony, M. M., Gardner, S., & O’Cleirigh, C. (2019). Integrated cognitive-behavioral therapy for social anxiety and HIV/STI prevention for gay and bisexual men: A pilot intervention trial. Behavior Therapy. https://doi.org/10.1016/j.beth.2019.09.001

    Article  PubMed  Google Scholar 

  • Haslbeck, J. (2017). Mgm: Estimating time-varying k-order mixed graphical models. https://CRAN.R-project.org/package=mgm

  • Hirshfield, S., Schrimshaw, E. W., Stall, R. D., Margolis, A. D., Downing, M. J., Jr., & Chiasson, M. A. (2015). Drug use, sexual risk, and syndemic production among men who have sex with men who engage in group sexual encounters. Journal Information. https://doi.org/10.2105/AJPH.2014.302346

    Article  Google Scholar 

  • Holgado-Tello, F. P., Chacón-Moscoso, S., Barbero-García, I., & Vila-Abad, E. (2010). Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Quality & Quantity, 44, 153. https://doi.org/10.1007/s11135-008-9190-y

    Article  Google Scholar 

  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185. https://doi.org/10.1007/BF02289447

    Article  CAS  PubMed  Google Scholar 

  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.

    Article  Google Scholar 

  • Kalichman, S. C., Johnson, J. R., Adair, V., Rompa, D., Multhauf, K., & Kelly, J. A. (1994). Sexual sensation seeking: Scale development and predicting AIDS-risk behavior among homosexually active men. Journal of Personality Assessment, 62, 385–397.

    Article  CAS  Google Scholar 

  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.

    Google Scholar 

  • Koblin, B. A., Husnik, M. J., Colfax, G., Huang, Y., Madison, M., Mayer, K., et al. (2006). Risk factors for HIV infection among men who have sex with men. AIDS, 20, 731–739. https://doi.org/10.1097/01.aids.0000216374.61442.55

    Article  PubMed  Google Scholar 

  • Kroenke, K., Strine, T. W., Spitzer, R. L., Williams, J. B. W., Berry, J. T., & Mokdad, A. H. (2009). The PHQ-8 as a measure of current depression in the general population. Journal of Affective Disorders, 114, 163–173. https://doi.org/10.1016/j.jad.2008.06.026

    Article  PubMed  Google Scholar 

  • Ledesma, R. D., & Valero-Mora, P. (2007). Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research & Evaluation, 12, 1–11.

    Google Scholar 

  • Ledesma, R. D., Valero-Mora, P., & Macbeth, G. (2015). The scree test and the number of factors: A dynamic graphics approach. The Spanish Journal of Psychology. https://doi.org/10.1017/sjp.2015.13

    Article  PubMed  Google Scholar 

  • Lee, J. S., Safren, S. A., Bainter, S. A., Rodríguez-Díaz, C. E., Horvath, K. J., & Blashill, A. J. (2019). Examining a syndemics network among young Latino men who have sex with men. International Journal of Behavioral Medicine (Epub ahead of print).

  • Lenderking, W. R., Wold, C., Mayer, K. H., Goldstein, R., Losina, E., & Seage, G. R. (1997). Childhood sexual abuse among homosexual men. Journal of General Internal Medicine, 12, 250–253. https://doi.org/10.1046/j.1525-1497.1997.012004250.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Martinez, O., Arreola, S., Wu, E., Muñoz-Laboy, M., Levine, E. C., Rutledge, S. E., et al. (2016). Syndemic factors associated with adult sexual HIV risk behaviors in a sample of Latino men who have sex with men in New York City. Drug and Alcohol Dependence, 166, 258–262.

    Article  Google Scholar 

  • Masyn, K. E. (2013). Latent class analysis and finite mixture modeling. In T. D. Little (Ed.), The Oxford handbook of quantitative methods (p. 551). Oxford: Oxford University Press.

    Google Scholar 

  • Mazumder, R., & Hastie, T. (2012). The graphical lasso: New insights and alternatives. Electronic Journal of Statistics, 6, 2125–2149. https://doi.org/10.1214/12-EJS740

    Article  PubMed  PubMed Central  Google Scholar 

  • Mimiaga, M. J., Biello, K. B., Robertson, A. M., Oldenburg, C. E., Rosenberger, J. G., O’Cleirigh, C., et al. (2015a). High prevalence of multiple syndemic conditions associated with sexual risk behavior and HIV infection among a large sample of Spanish-and Portuguese-speaking men who have sex with men in Latin America. Archives of Sexual Behavior, 44, 1869–1878.

    Article  Google Scholar 

  • Mimiaga, M. J., O’Cleirigh, C., Biello, K. B., Robertson, A. M., Safren, S. A., Coates, T. J., et al. (2015b). The effect of psychosocial syndemic production on 4-year HIV incidence and risk behavior in a large cohort of sexually active men who have sex with men. JAIDS Journal of Acquired Immune Deficiency Syndromes, 68, 329–336. https://doi.org/10.1097/QAI.0000000000000475

    Article  PubMed  Google Scholar 

  • Mustanski, B., Garofalo, R., Herrick, A., & Donenberg, G. (2007). Psychosocial health problems increase risk for HIV among urban young men who have sex with men: Preliminary evidence of a syndemic in need of attention. Annals of Behavioral Medicine, 34, 37–45. https://doi.org/10.1007/BF02879919

    Article  PubMed  PubMed Central  Google Scholar 

  • Mustanski, B., Phillips, G., Ryan, D. T., Swann, G., Kuhns, L., & Garofalo, R. (2017). Prospective effects of a syndemic on HIV and STI incidence and risk behaviors in a cohort of young men who have sex with men. AIDS and Behavior, 21, 845–857.

    Article  Google Scholar 

  • O’Cleirigh, C., Pantalone, D. W., Batchelder, A. W., Hatzenbuehler, M. L., Marquez, S. M., Grasso, C., et al. (2018a). Co-occurring psychosocial problems predict HIV status and increased health care costs and utilization among sexual minority men. Journal of Behavioral Medicine, 41, 1–8.

    Article  Google Scholar 

  • O’Cleirigh, C., Safren, S. A., Taylor, S. W., Goshe, B. M., Bedoya, C. A., Marquez, S. M., et al. (2019). Cognitive behavioral therapy for trauma and self-care (CBT-TSC) in men who have sex with men with a history of childhood sexual abuse: A randomized controlled trial. AIDS and Behavior. https://doi.org/10.1007/s10461-019-02482-z

    Article  PubMed  PubMed Central  Google Scholar 

  • O’Cleirigh, C., Zvolensky, M. J., Smits, J. A. J., Labbe, A. K., Coleman, J. N., Wilner, J. G., et al. (2018b). Integrated treatment for smoking cessation, anxiety, and depressed mood in people living with HIV: A randomized controlled trial. JAIDS Journal of Acquired Immune Deficiency Syndromes, 79, 261. https://doi.org/10.1097/QAI.0000000000001787

    Article  PubMed  Google Scholar 

  • Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32, 245–251.

    Article  Google Scholar 

  • Parsons, J. T., Grov, C., & Golub, S. A. (2012). Sexual compulsivity, co-occurring psychosocial health problems, and HIV risk among gay and bisexual men: Further evidence of a syndemic. American Journal of Public Health, 102, 156–162. https://doi.org/10.2105/AJPH.2011.300284

    Article  PubMed  PubMed Central  Google Scholar 

  • Parsons, J. T., Millar, B. M., Moody, R. L., Starks, T. J., Rendina, H. J., & Grov, C. (2017). Syndemic conditions and HIV transmission risk behavior among HIV-negative gay and bisexual men in a US national sample. Health Psychology, 36, 695.

    Article  Google Scholar 

  • R Development Core Team. (2016). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org

  • Raiche, G., & Magis, D. (2011). nFactors: Parallel analysis and non graphical solutions to the cattell scree test. https://CRAN.R-project.org/package=nFactors

  • Rhemtulla, M., Fried, E. I., Aggen, S. H., Tuerlinckx, F., Kendler, K. S., & Borsboom, D. (2016). Network analysis of substance abuse and dependence symptoms. Drug and Alcohol Dependence, 161, 230–237.

    Article  Google Scholar 

  • Safren, S. A., Blashill, A. J., Lee, J. S., O’Cleirigh, C., Tomassili, J., Biello, K. B., et al. (2018). Condom-use self-efficacy as a mediator between syndemics and condomless sex in men who have sex with men (MSM). Health Psychology, 37, 820–827. https://doi.org/10.1037/hea0000617

    Article  PubMed  PubMed Central  Google Scholar 

  • Safren, S. A., Reisner, S. L., Herrick, A., Mimiaga, M. J., & Stall, R. (2010). Mental health and HIV risk in men who have sex with men. Journal of Acquired Immune Deficiency Syndromes, 55, S74–S77. https://doi.org/10.1097/QAI.0b013e3181fbc939

    Article  PubMed  Google Scholar 

  • Santos, H., Fried, E. I., Asafu-Adjei, J., & Ruiz, R. J. (2017). Network structure of perinatal depressive symptoms in Latinas: relationship to stress and reproductive biomarkers. Research in Nursing & Health, 40, 218–228.

    Article  Google Scholar 

  • Singer, M. (1994). AIDS and the health crisis of the US urban poor; the perspective of critical medical anthropology. Social Science and Medicine, 39, 931–948. https://doi.org/10.1016/0277-9536(94)90205-4

    Article  CAS  PubMed  Google Scholar 

  • Spitzer, R. L., Kroenke, K., & Williams, J. B. W. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. JAMA, 282, 1737–1744. https://doi.org/10.1001/jama.282.18.1737

    Article  CAS  PubMed  Google Scholar 

  • Stall, R., Mills, T. C., Williamson, J., Hart, T., Greenwood, G., Paul, J., et al. (2003). Association of co-occurring psychosocial health problems and increased vulnerability to HIV/AIDS among urban men who have sex with men. American Journal of Public Health, 93, 939–942. https://doi.org/10.2105/AJPH.93.6.939

    Article  PubMed  PubMed Central  Google Scholar 

  • Starks, T. J., Millar, B. M., Eggleston, J. J., & Parsons, J. T. (2014). Syndemic factors associated with HIV risk for gay and bisexual men: comparing latent class and latent factor modeling. AIDS and Behavior, 18, 2075–2079.

    Article  Google Scholar 

  • Strathdee, S. A., & Sherman, S. G. (2003). The role of sexual transmission of HIV infection among injection and non-injection drug users. Journal of Urban Health, 80, iii7–iii14. https://doi.org/10.1093/jurban/jtg078

    Article  PubMed  PubMed Central  Google Scholar 

  • Tsai, A. C., & Burns, B. F. (2015). Syndemics of psychosocial problems and HIV risk: a systematic review of empirical tests of the disease interaction concept. Social Science and Medicine, 139, 26–35.

    Article  Google Scholar 

  • Tsai, A. C., & Venkataramani, A. S. (2016). Syndemics and health disparities: a methodological note. AIDS and Behavior, 20, 423–430.

    Article  Google Scholar 

  • van Borkulo, C. D., Epskamp, S., Millner, A. (2016b). NetworkComparisonTest: Statistical comparison of two networks based on three invariance measures. https://CRAN.R-project.org/package=NetworkComparisonTest

  • van Borkulo, C. D., Epskamp, S., & Robitzsch, A. (2016a). IsingFit: Fitting Ising models using the Elasso method. https://CRAN.R-project.org/package=IsingFit

  • Williams, J. K., Wilton, L., Magnus, M., Wang, L., Wang, J., Dyer, T. P., et al. (2015). Relation of childhood sexual abuse, intimate partner violence, and depression to risk factors for HIV among black men who have sex with men in 6 U.S. cities. 11, 105, 2473–2481. https://doi.org/10.2105/AJPH.2015.302878

    Article  Google Scholar 

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Acknowledgements

The project described was supported by P01AI074415 (Altfeld), an unrestricted research grant from Alere, Harvard University Center for AIDS Research 5P30AI060354. Some of the author time was supported by 9K24DA040489 and 1P30MH116867 (Safren). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Drug Abuse, National Institute of Allergy and Infectious Diseases, the National Institutes of Health, or any of the other funders.

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Correspondence to S. A. Safren.

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S. A. Safren receives royalties from Oxford University Press, Humana/Springer, and Guilford for books on psychotherapeutic treatment approaches, including working with populations similar to those discussed in this manuscript. J. S. Lee, S. A. Bainter, A. W. Carrico, T. R. Glynn, B. G. Rogers, C. Albright, C. Albright, and K. H. Mayer do not have any conflicts of interest to report.

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Lee, J.S., Bainter, S.A., Carrico, A.W. et al. Connecting the dots: a comparison of network analysis and exploratory factor analysis to examine psychosocial syndemic indicators among HIV-negative sexual minority men. J Behav Med 43, 1026–1040 (2020). https://doi.org/10.1007/s10865-020-00148-z

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