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1.
AIDS Behav ; 2024 Jul 04.
Article in English | MEDLINE | ID: mdl-38965184

ABSTRACT

Mental health and HIV risk behavior have been studied with ecological momentary assessment (EMA), but this approach has not been combined with tracking of activity space (where people go and what they encounter there) in people with HIV and their social relations, who may be HIV+ or HIV-. Activity space represents a modifiable risk or protective factor for behavior related to health status and quality of life, in both clinical and nonclinical populations. We conducted an observational study with 286 participants (243 HIV+ and 43 HIV-), roughly matched for socioeconomic status and neighborhood of residence via three waves of snowball sampling. Each participant carried a smartphone for up to 4 weeks, making 5 randomly prompted entries and 1 end-of-day entry each day, plus self-initiated event-contingent entries for sexual activity and drug use. Responses to randomly prompted items provided subjective evaluations of the safety of the participant's current social and physical environment (the place they were and the people they were with). GPS-based location tracking-coupled with publicly available statistic indicating neighborhood-level physical disorder and socioeconomic disadvantage-provided an indicator of each participant's exposure to objective psychosocial hazard. We examined possible relationships of these objective and subjective environmental exposures with risky sexual and intravenous drug-use behavior, knowledge and utilization of antiretroviral treatment and prophylaxis, and momentary mental health (mood and stress, which relate to risky behavior and overall well-being). We found that both risky behavior and mental health were more related to participants' subjective evaluations of their activity space than to objective measures of neighborhood-level disorder, suggesting that, even within an objectively hazardous neighborhood, people who find a niche they perceive as socially and physically safe may engage in less risky behavior and have better well-being.Trial registration Clinicaltrials.gov Identifier NCT01571752.

2.
Subst Use Misuse ; 58(12): 1460-1472, 2023.
Article in English | MEDLINE | ID: mdl-37380598

ABSTRACT

BACKGROUND: Previous studies have shown that environment and health can influence drug use trajectories and the effects of substance use disorder (SUD) treatments. We hypothesized that trajectories of drug use-related problems, based on changes in DSM-5 symptoms, would vary by type(s) of drugs used, health factors, and neighborhood characteristics. METHODS: We assessed mental and physical health, stress, social instability, neighborhood characteristics (disorderliness and home value), and DSM-5 symptom counts at two study visits, 12 months apart, in a community sample (baseline N = 735) in Baltimore, MD. Three prominent categories of drug-use trajectory were identified with K-means cluster analysis of symptom counts: Persistent (4 or more symptoms at both visits or at Visit 2), Improved (decrease from 4 or more symptoms at Visit 1 to 3 or fewer symptoms at Visit 2), and Low-Stable (3 or fewer symptoms at both visits). Baseline health and neighborhood measures were tested as predictors of trajectory in mediation and moderation models. RESULTS: Among people with current opioid- and/or stimulant-use, odds of an Improved trajectory were (1) decreased with neighborhood disorder and social instability, or (2) increased with home value and social instability. Odds of a Low-Stable trajectory were decreased by social instability and stress but increased in those who were older or self-identified as white. CONCLUSIONS: Trajectories of drug use-related problems are influenced by sociodemographic variables, neighborhood factors, and health. Assessing DSM-5 symptom counts as an outcome measure may be valuable in monitoring or predicting long-term trajectories and treatment effectiveness.


Subject(s)
Substance-Related Disorders , Humans , Substance-Related Disorders/diagnosis , Residence Characteristics , Baltimore
3.
J Addict Med ; 11(6): 440-448, 2017.
Article in English | MEDLINE | ID: mdl-28885301

ABSTRACT

OBJECTIVES: People with substance use problems living in neighborhoods with high levels of disorder are disproportionately likely to experience trauma and develop PTSD symptoms. We sought to evaluate the relationships between objective neighborhood disorder, perceptions of neighborhood, and the use of maladaptive coping behaviors among both non-substance-using and substance-using participants with and without PTSD symptoms. METHODS: Participants (255 non-drug users [NDUs], 168 marijuana and/or alcohol users [MAUs], and 273 opioid and/or stimulant users) completed the Addiction Severity Index, PTSD Checklist-Civilian Version, The COPE Inventory, and the Perceived Neighborhood Scale. The Neighborhood Inventory for Environmental Typology (NIfETy) was used to objectively assess neighborhood disorder at participants' home addresses. Regression modeling was used to assess within-group predictors of PTSD and test for mediation in the relationships between PTSD, perceptions of neighborhood, and coping behaviors. RESULTS: In NDUs, lower sense of community partially mediated the relationship between PTSD symptoms and using mental disengagement to cope. In MAUs, higher levels of perceived crime partially mediated the individual relationships between PTSD symptoms and using mental disengagement, focusing on and venting emotions, and using substances to cope. Opioid and/or stimulant users with PTSD symptoms reported using higher levels of mental disengagement, focusing on and venting emotions, and substances to cope and perceived a higher degree of crime; no mediation was inferred. CONCLUSION: Perceptions of community and crime may be more predictive of PTSD symptoms than objectively measured neighborhood disorder. These perceptions partially mediate the relationship between maladaptive coping behaviors and PTSD symptoms.


Subject(s)
Adaptation, Psychological/physiology , Residence Characteristics/statistics & numerical data , Stress Disorders, Post-Traumatic/epidemiology , Substance-Related Disorders/epidemiology , Adult , Baltimore/epidemiology , Comorbidity , Female , Humans , Male , Maryland/epidemiology , Middle Aged , Young Adult
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