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Predictors of Longitudinal Trajectories of Alcohol Consumption in People with HIV.

ABSTRACT: BACKGROUND:Our aim was to describe alcohol consumption trajectories in a cohort of people living with HIV and determine clinical and sociodemographic predictors of each trajectory. METHODS:This is a prospective cohort study of 7,906 patients in the 7 Centers for AIDS Research Network of Integrated Clinical Systems sites. Alcohol consumption was categorized as none, moderate, and alcohol misuse. Predictors included age, race/ethnicity, depressive or anxiety symptoms, illicit drug use (opioids, methamphetamines, cocaine/crack), marijuana use, hepatitis C virus (HCV) infection, HIV transmission risk factor, and HIV disease progression. We estimated sex-stratified alcohol consumption trajectories and their predictors. RESULTS:We found 7 trajectories of alcohol consumption in men: stable nondrinking and increased drinking (71% and 29% of initial nondrinking); stable moderate, reduced drinking, and increased alcohol misuse (59%, 21%, and 21% of initial moderate alcohol use); and stable alcohol misuse and reduced alcohol misuse (75% and 25% of initial alcohol misuse). Categories were similar in women, except lack of an increase to alcohol misuse trajectory among women that begin with moderate use. Older men and women were more likely to have stable nondrinking, while younger men were more likely to increase to or remain in alcohol misuse. Minorities, people with depressive or anxiety symptoms, HCV-infected individuals, and people who injected drugs were more likely to reduce use. Illicit drug use was associated with a reduction in overall drinking, while marijuana use was associated with stable moderate drinking or misuse. CONCLUSIONS:Longitudinal trajectories of increasing alcohol use and stable misuse highlight the need to integrate routine screening and alcohol misuse interventions into HIV primary care.

SUBMITTER: Bilal U

PROVIDER: S-EPMC5832592 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Predictors of Longitudinal Trajectories of Alcohol Consumption in People with HIV.

Bilal Usama U McCaul Mary E ME Crane Heidi M HM Mathews W Christopher WC Mayer Kenneth H KH Geng Elvin E Napravnik Sonia S Cropsey Karen L KL Mugavero Michael J MJ Saag Michael S MS Hutton Heidi H Lau Bryan B Chander Geetanjali G

Alcoholism, clinical and experimental research 20180129 3

<h4>Background</h4>Our aim was to describe alcohol consumption trajectories in a cohort of people living with HIV and determine clinical and sociodemographic predictors of each trajectory.<h4>Methods</h4>This is a prospective cohort study of 7,906 patients in the 7 Centers for AIDS Research Network of Integrated Clinical Systems sites. Alcohol consumption was categorized as none, moderate, and alcohol misuse. Predictors included age, race/ethnicity, depressive or anxiety symptoms, illicit drug u ...[more]

PMID: 29265385

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Project description:BackgroundHigh frequency of alcohol use among people living with HIV (PLWH) warrants careful assessment and screening to better understand its impact on HIV disease progression and development of comorbidities. Due to the limitations of the tools used to measure alcohol use, the links to health consequences are not fully understood.MethodsWe completed a cross-sectional analysis to examine the prevalence of alcohol consumption using multiple alcohol assessment tools and their correlation and consistency in a cohort of PLWH (N = 365) enrolled in the New Orleans Alcohol Use in HIV (NOAH) Study. Alcohol use was assessed with the Alcohol Use Disorders Identification Test (AUDIT), timeline followback (TLFB) Calendar, lifetime drinking history, Alcohol and Drug Addiction Severity Index, and blood levels of phosphatidylethanol (PEth). Spearman's correlations were estimated for continuous measures of alcohol consumption; Wilcoxon rank-sum tests were used to compare means; and logistic regression was used to estimate odds of alcohol use by demographic characteristics.ResultsSelf-report of current alcohol use varied from 58.9 to 73.7% depending on the assessment. All the self-reported alcohol measures showed statistically significant correlations with the biological marker PEth. The highest correlation was with TLFB grams (r = 0.67, p < 0.001). Using TLFB, 73.7% of the cohort reported using alcohol in the last 30 days, and 61.6% had a positive PEth value. The prevalence of risky drinkers, meeting the TLFB > 3 (women) or >4 (men) drinks/day or>7 (women) or>14 (men) drinks/week, was 49.0%. Medium-risk drinking defined as an AUDIT score ≥ 8 was reported in 40.3%, and high-risk drinkers/probable AUD (AUDIT score ≥ 16) was met by 17.0% of the cohort.ConclusionsOur results demonstrate the importance of comprehensive assessments for alcohol use, including self-report via multiple assessment tools administered by trained staff, as well as the addition of biomarkers for improved classification of subjects into different drinking categories.

Project description:Background and aimsAlcohol consumption changes markedly over the life course, with important implications for health and social development. Assessment of these patterns often relies on cross-sectional data, which cannot fully capture how individuals' drinking changes as they age. This study used data from 18 waves of a general population panel survey to measure drinking trajectories over the life course in Australia.Design and settingLongitudinal survey data from the Household, Income and Labour Dynamics in Australia (HILDA) survey between 2001 and 2018.ParticipantsA total of 20 593 individuals ages 15 or above in two samples assessing quantity-frequency (n = 20 569, 52.0% female) and risky single occasion drinking (RSOD), respectively, (n = 17 340, 52.5% female), interviewed as part of HILDA.MeasurementsUsual quantity of alcohol consumed per drinking occasion; frequency of drinking occasions per week; average daily consumption, calculated by combining reported usual quantity and frequency; and average reported frequency of RSOD per week.FindingsMultilevel, mixed effects models run with fractional polynomial terms found similar male and female alcohol consumption trajectories for quantity-frequency and RSOD measures. Usual quantity of alcohol consumed per drinking occasion (5.4 drinks for men, 3.8 for women) and RSOD frequency (0.56 occasions/week for men, 0.38 for women) peaked in young adulthood, whereas frequency of drinking occasions (2.5 occasions/week for men, 1.7 for women) peaked in middle age. Middle-age drinkers had the highest average daily consumption of alcohol (1.4 drinks/day for 54-year-old men, 0.6 drinks for 57-year-old women) and engaged in RSOD slightly less than young adults.ConclusionsAlcohol consumption in Australia appears to vary substantially over the life course, with usual quantity per drinking occasion and frequency of risky single occasion drinking peaking during early adulthood and average daily consumption and frequency of consumption peaking in middle age.

Project description:BACKGROUND:Non-linear associations have been reported between baseline measures of alcohol consumption and type 2 diabetes (T2DM). However, given that drinking varies over the adult life course, we investigated whether differences existed in the longitudinal trajectory of alcohol consumption according to T2DM status. METHODS:For a case-cohort (916 incident cases; 7376 controls) of British civil servants nested within the Whitehall II cohort, the self-reported weekly volume of alcohol consumption was traced backwards from the date of diagnosis or censoring to the beginning of the study, covering a period of up to 28 years. Mean trajectories of alcohol intake were estimated separately by diagnosis status using random-effects models. RESULTS:Drinking increased linearly among male cases before diagnosis, but declined among male non-cases prior to censoring. At the time of diagnosis or censoring, consumption among those who developed T2DM was 33.4 g/week greater on average. These patterns were not apparent among women. Here, alcohol intake among female cases was consistently below that of non-cases, with the difference in consumption most pronounced around 15 years prior to diagnosis or censoring, at ?28.0 g/week. Disparities by diagnosis status were attenuated following adjustment for potential confounders, including the frequency of consumption and metabolic factors. Drinking among male and female cases declined following diagnosis. CONCLUSIONS:Differences in the weekly volume of alcohol consumption are reported in the years leading up to diagnosis or censoring. Although male and female cases predominantly consumed alcohol at volumes lower than or equal to those who were not diagnosed, these disparities appear to be largely explained by a range of socio-demographic and lifestyle factors. Where disparities are observed between cases and non-cases, adjusted absolute differences are small in magnitude. The decision to drink alcohol should not be motivated by a perceived benefit to T2DM risk.

Project description:BackgroundPredicting long-term care trajectories at the time of HIV diagnosis may allow targeted interventions. Our objective was to uncover distinct CD4-based trajectories and determine baseline demographic, clinical, and contextual factors associated with trajectory membership.MethodsWe used data from the Sizanani trial (NCT01188941), in which adults were enrolled prior to HIV testing in Durban, South Africa from August 2010-January 2013. We ascertained CD4 counts from the National Health Laboratory Service over 5y follow-up. We used group-based statistical modeling to identify groups with similar CD4 count trajectories and Bayesian information criteria to determine distinct CD4 trajectories. We evaluated baseline factors that predict membership in specific trajectories using multinomial logistic regression. We examined calendar year of participant enrollment, age, gender, cohabitation, TB positivity, self-identified barriers to care, and ART initiation within 3 months of diagnosis.Results688 participants had longitudinal data available. Group-based trajectory modeling identified four distinct trajectories: one with consistently low CD4 counts (21%), one with low CD4 counts that increased over time (22%), one with moderate CD4 counts that remained stable (41%), and one with high CD4 counts that increased over time (16%). Those with higher CD4 counts at diagnosis were younger, less likely to have TB, and less likely to identify barriers to care. Those in the least favorable trajectory (consistently low CD4 count) were least likely to start ART within 3 months.ConclusionsOne-fifth of people newly-diagnosed with HIV presented with low CD4 counts that failed to rise over time. Less than 40% were in a trajectory characterized by increasing CD4 counts. Patients in more favorable trajectories were younger, less likely to have TB, and less likely to report barriers to healthcare. Better understanding barriers to early care engagement and ART initiation will be necessary to improve long-term clinical outcomes.

Dataset Information

Predictors of Longitudinal Trajectories of Alcohol Consumption in People with HIV.

Publications

Predictors of Longitudinal Trajectories of Alcohol Consumption in People with HIV.

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