Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV

Natalie E. Kelso-Chichetto, Michael Plankey, Alison Gump Abraham, Nicole Ennis, Xinguang Chen, Robert Bolan, Robert L. Cook

Research output: Contribution to journalArticle

Abstract

Background: Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. Objective: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. Methods: Data from the Women’s Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. Results: Four trajectories of alcohol use were identified in women and men (women: abstinent 38%, low: 25%, moderate: 30%, heavy: 7%; men: abstinent 16%, low: 69%, moderate: 9%, heavy: 5%). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95% confidence interval [CI] 1.04–1.09), years on ART (women: AOR 1.02, CI 1.00–1.05; men: AOR 1.05, CI 1.01–1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07–1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56–2.13; men: AOR 1.36, CI 1.17–1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07–1.14; men: AOR 1.12, CI 1.06–1.20), suboptimal adherence (women: AOR 1.25, CI 1.04–1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42–2.24) were associated with increased odds for heavy drinking. Conclusions: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.

Original languageEnglish (US)
Pages (from-to)85-94
Number of pages10
JournalAmerican Journal of Drug and Alcohol Abuse
Volume44
Issue number1
DOIs
StatePublished - Jan 2 2018

Fingerprint

Alcohol Drinking
Odds Ratio
HIV
Confidence Intervals
Viral Load
Drinking
Alcohols
Acquired Immunodeficiency Syndrome
Cohort Studies

Keywords

  • alcohol use
  • HIV
  • longitudinal
  • MACS
  • men
  • sex
  • WIHS
  • women

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV. / Kelso-Chichetto, Natalie E.; Plankey, Michael; Abraham, Alison Gump; Ennis, Nicole; Chen, Xinguang; Bolan, Robert; Cook, Robert L.

In: American Journal of Drug and Alcohol Abuse, Vol. 44, No. 1, 02.01.2018, p. 85-94.

Research output: Contribution to journalArticle

Kelso-Chichetto, Natalie E. ; Plankey, Michael ; Abraham, Alison Gump ; Ennis, Nicole ; Chen, Xinguang ; Bolan, Robert ; Cook, Robert L. / Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV. In: American Journal of Drug and Alcohol Abuse. 2018 ; Vol. 44, No. 1. pp. 85-94.
@article{afce3bbe44764683a9a47168d91f000e,
title = "Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV",
abstract = "Background: Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. Objective: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. Methods: Data from the Women’s Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. Results: Four trajectories of alcohol use were identified in women and men (women: abstinent 38{\%}, low: 25{\%}, moderate: 30{\%}, heavy: 7{\%}; men: abstinent 16{\%}, low: 69{\%}, moderate: 9{\%}, heavy: 5{\%}). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95{\%} confidence interval [CI] 1.04–1.09), years on ART (women: AOR 1.02, CI 1.00–1.05; men: AOR 1.05, CI 1.01–1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07–1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56–2.13; men: AOR 1.36, CI 1.17–1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07–1.14; men: AOR 1.12, CI 1.06–1.20), suboptimal adherence (women: AOR 1.25, CI 1.04–1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42–2.24) were associated with increased odds for heavy drinking. Conclusions: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.",
keywords = "alcohol use, HIV, longitudinal, MACS, men, sex, WIHS, women",
author = "Kelso-Chichetto, {Natalie E.} and Michael Plankey and Abraham, {Alison Gump} and Nicole Ennis and Xinguang Chen and Robert Bolan and Cook, {Robert L.}",
year = "2018",
month = "1",
day = "2",
doi = "10.1080/00952990.2017.1335317",
language = "English (US)",
volume = "44",
pages = "85--94",
journal = "American Journal of Drug and Alcohol Abuse",
issn = "0095-2990",
publisher = "Informa Healthcare",
number = "1",

}

TY - JOUR

T1 - Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV

AU - Kelso-Chichetto, Natalie E.

AU - Plankey, Michael

AU - Abraham, Alison Gump

AU - Ennis, Nicole

AU - Chen, Xinguang

AU - Bolan, Robert

AU - Cook, Robert L.

PY - 2018/1/2

Y1 - 2018/1/2

N2 - Background: Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. Objective: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. Methods: Data from the Women’s Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. Results: Four trajectories of alcohol use were identified in women and men (women: abstinent 38%, low: 25%, moderate: 30%, heavy: 7%; men: abstinent 16%, low: 69%, moderate: 9%, heavy: 5%). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95% confidence interval [CI] 1.04–1.09), years on ART (women: AOR 1.02, CI 1.00–1.05; men: AOR 1.05, CI 1.01–1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07–1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56–2.13; men: AOR 1.36, CI 1.17–1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07–1.14; men: AOR 1.12, CI 1.06–1.20), suboptimal adherence (women: AOR 1.25, CI 1.04–1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42–2.24) were associated with increased odds for heavy drinking. Conclusions: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.

AB - Background: Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. Objective: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. Methods: Data from the Women’s Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. Results: Four trajectories of alcohol use were identified in women and men (women: abstinent 38%, low: 25%, moderate: 30%, heavy: 7%; men: abstinent 16%, low: 69%, moderate: 9%, heavy: 5%). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95% confidence interval [CI] 1.04–1.09), years on ART (women: AOR 1.02, CI 1.00–1.05; men: AOR 1.05, CI 1.01–1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07–1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56–2.13; men: AOR 1.36, CI 1.17–1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07–1.14; men: AOR 1.12, CI 1.06–1.20), suboptimal adherence (women: AOR 1.25, CI 1.04–1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42–2.24) were associated with increased odds for heavy drinking. Conclusions: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.

KW - alcohol use

KW - HIV

KW - longitudinal

KW - MACS

KW - men

KW - sex

KW - WIHS

KW - women

UR - http://www.scopus.com/inward/record.url?scp=85020544503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020544503&partnerID=8YFLogxK

U2 - 10.1080/00952990.2017.1335317

DO - 10.1080/00952990.2017.1335317

M3 - Article

VL - 44

SP - 85

EP - 94

JO - American Journal of Drug and Alcohol Abuse

JF - American Journal of Drug and Alcohol Abuse

SN - 0095-2990

IS - 1

ER -