2022
mHealth Intervention to Improve Treatment Outcomes Among People With HIV Who Use Cocaine: Protocol for a Pilot Randomized Controlled Trial
Ranjit YS, Krishnan A, Ghosh D, Cravero C, Zhou X, Altice FL. mHealth Intervention to Improve Treatment Outcomes Among People With HIV Who Use Cocaine: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2022, 11: e28332. PMID: 35254270, PMCID: PMC8938831, DOI: 10.2196/28332.Peer-Reviewed Original ResearchINTERNATIONAL REGISTERED REPORT IDENTIFIERMobile health interventionsAntiretroviral therapyTreatment outcomesHealth interventionsHIV treatment outcomesInstitutional review boardTechnology-based interventionsControlled TrialsHIV servicesMedication adherenceStudy populationElectronic pillboxMulticomponent interventionUse cocaineAdherence behaviorHIVMHealth interventionsFinal enrollmentReview boardStudy designDrug abuse
2021
Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study
Shelby T, Zhou X, Barber D, Altice F. Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study. Journal Of Medical Internet Research 2021, 23: e25428. PMID: 34259640, PMCID: PMC8319773, DOI: 10.2196/25428.Peer-Reviewed Original ResearchConceptsSyringe services programHarm reduction servicesReduction servicesSecondary outcomesMHealth appsParticipant characteristicsHarm reduction needsHome deliveryMost participantsRespondent-driven samplingPrimary outcomeSuboptimal accessIndependent correlatesMedical recordsDrug injectionMobile health appsPWIDSummary scoresMedication remindersSSP usePoisson regressionUnstable housingVulnerable populationsSyringe deliveryHealth appsPurposeful Fentanyl Use and Associated Factors among Opioid-Dependent People Who Inject Drugs
Chandra DK, Altice FL, Copenhaver MM, Zhou X, Didomizio E, Shrestha R. Purposeful Fentanyl Use and Associated Factors among Opioid-Dependent People Who Inject Drugs. Substance Use & Misuse 2021, 56: 979-987. PMID: 33769199, DOI: 10.1080/10826084.2021.1901931.Peer-Reviewed Original ResearchConceptsOpioid-dependent PWIDFentanyl useOpioid-dependent peopleIndependent correlatesSevere depressionSex-related risk behaviorsMethadone-maintained patientsMultivariable logistic regressionOpioid-related mortalityRecent cocaine useCross-sectional surveySelf-reported drugMethadone dosageYoung PWIDDaily injectionsMethadone clinicsAssociated FactorsFentanyl exposureHigh prevalencePWIDSynthetic opioidsCocaine useYounger ageRisk behaviorsLogistic regressionUse of Pre-exposure Prophylaxis Among People Who Inject Drugs: Exploratory Findings of the Interaction Between Race, Homelessness, and Trust
Zhou X, Altice FL, Chandra D, Didomizio E, Copenhaver MM, Shrestha R. Use of Pre-exposure Prophylaxis Among People Who Inject Drugs: Exploratory Findings of the Interaction Between Race, Homelessness, and Trust. AIDS And Behavior 2021, 25: 3743-3753. PMID: 33751313, DOI: 10.1007/s10461-021-03227-7.Peer-Reviewed Original ResearchConceptsPre-exposure prophylaxisPrEP useProvider trustPatient-level factorsOpioid-dependent patientsLogistic regression analysisNon-homeless participantsHomeless participantsRace/ethnicityEligibility criteriaCross-sectional dataPrEPProphylaxisMethadoneRegression analysisDrugsExploratory findingsParticipantsPotential moderatorsPWIDPatientsSignificant moderatorExamining user engagement and use of fitness tracking technology through the lens of technology affordances
Zhou, X., Krishnan, A., & Dincelli, E. (2021). Examining user engagement and use of fitness tracking technology through the lens of technology affordances. (2021). Behaviour & Information Technology, doi: 10.1080/0144929X.2021.1915383Peer-Reviewed Original Research
2020
Toward reducing institutional digital divides in the media industry: Examining social media use in ethnic media organizations
Zhou, X., & Matsaganis, M. (2020). Toward reducing institutional digital divides in the media industry: Examining social media use in ethnic media organizations. International Journal of Communication, 14, 1004-1024.Peer-Reviewed Original ResearchWearable Devices and Privacy Concerns: Data Collection, Analysis, and Interpretation.
Dincelli, E., Zhou, X., Yayla, A., & Jafarian, H. (2020). Wearable Devices and Privacy Concerns: Data Collection, Analysis, and Interpretation. In Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps (pp. 83-111). IGI Global.Peer-Reviewed Original Research
2019
What Predicts Exercise Maintenance and Well-Being? Examining The Influence of Health-Related Psychographic Factors and Social Media Communication.
Zhou X, Krishnan A. What Predicts Exercise Maintenance and Well-Being? Examining The Influence of Health-Related Psychographic Factors and Social Media Communication. Health Communication 2019, 34: 589-597. PMID: 29373041, DOI: 10.1080/10410236.2018.1428851.Peer-Reviewed Original ResearchModeling the effect of health antecedents and social media engagement on healthy eating and quality of life
Krishnan, A., & Zhou, X. (2019). Modeling the effect of health antecedents and social media engagement on healthy eating and quality of life. Journal of Applied Communication Research, 47(4), 365-380.Peer-Reviewed Original ResearchEthnic media producers of New York City: Confronting the challenges of the digital age.
Matsaganis, M., & Zhou, X. (2019). Ethnic media producers of New York City: Confronting the challenges of the digital age. In Yu, S. & Matsaganis, M. (Eds.), Ethnic Media in the digital age. New York, NY: Routledge.Peer-Reviewed Original Research
2018
What predicts exercise maintenance and well-being? Examining the influence of health-related psychographic factors and social media communication.
Zhou, X., & Krishnan, A. (2018). What predicts exercise maintenance and well-being? Examining the influence of health-related psychographic factors and social media communication. Health Communication, 34, 589-597.Peer-Reviewed Original ResearchWhat predicts men to disclose stigmatized sexual health issues online?
Dincelli, E., & Zhou, X. (2018). What predicts men to disclose stigmatized sexual health issues online? In the proceedings of the 24th Americas Conference on Information Systems, New Orleans, LA.Peer-Reviewed Original Research
2017
Examining self-disclosure on wearable devices: The roles of benefit structure and privacy calculus.
Dincelli, E., & Zhou, X. (2017). Examining self-disclosure on wearable devices: The roles of benefit structure and privacy calculus. In the proceedings of the 23rd Americas Conference on Information Systems, Boston, MA.Peer-Reviewed Original Research