What are the Patterns Between Depression, Smoking, Unhealthy Alcohol Use, and Other Substance Use Among Individuals Receiving Medical Care? A Longitudinal Study of 5479 Participants

Moderation Effects of Substance Use on Physical and Mental Well-Being in Adults

BACKGROUND

Each year about one in five adults experiences mental illness. Although the independent physical and mental health consequences of alcohol misuse and cigarette smoking are well documented, little is known on how substance use moderates the relationship between physical and mental well-being.

AIM

The purpose of this study was to examine whether substance use moderates the relationship between physical activity and mental health in adults.

METHODS

This was a secondary analysis of data provided by the Behavioral Risk Factor Surveillance System (BRFSS).

RESULTS

Participants (N = 450,016) were adults who completed the BRFSS in 2017. Those who did not drink alcohol had fewer mental health problems when they indicated greater amounts of time spent doing physical activities each week. Last, smokers' number of mental health problems decreased as they engaged in more physical activity, whereas nonsmokers' number of mental health problems increased as they engaged in more physical activity.

CONCLUSIONS

The relationship between physical activity and mental health outcomes is well established and cannot be overemphasized. Nonetheless, substance abuse can moderate this relationship and should be routinely screened for by health care providers regardless of treatment setting.

Cigarette Smoking and Depression Among U.S. Veterans: Longitudinal Associations With Posttraumatic Stress Disorder

INTRODUCTION

Cigarette smoking and depression are associated with morbidity and mortality. Among veterans, approximately 22% are current smokers and 11%-15% have been diagnosed with depression. Although prior research suggests a strong association between smoking and depression among veterans, little research has examined trajectories of smoking and depressive symptoms and their correlates over time in this population.

AIMS AND METHODS

Using parallel process growth curve modeling, we examined the longitudinal relationship between smoking and depression and tested whether posttraumatic stress disorder (PTSD) symptoms predict smoking and depression trajectories over 18 months (February 2020-August 2021). Veterans were recruited for an online, longitudinal study and responded to surveys across five-time points (baseline N = 1230; retention = 79.3%-83.3% across waves).

RESULTS

Associations indicated that more frequent smoking at baseline was associated with steeper increases in depression symptom severity, and greater depression severity at baseline was associated with a less steep decrease in smoking frequency over time. PTSD was associated with less smoking at time 1 but more frequent smoking at times 3-5 as well as greater depression across all time points.

CONCLUSIONS

Findings provide support that the growth trajectories of smoking and depression are linked, and PTSD symptoms are associated with these trajectories among veterans. Addressing these factors simultaneously in veteran treatment centers or through tobacco cessation efforts may be beneficial.

IMPLICATIONS

This study offers strong evidence that the growth trajectories of smoking and depression are linked, and PTSD symptoms affect these trajectories among veterans, who represent a largely understudied population despite high rates of substance use and mental health problems. Results of this study strengthen the case for a more integrated treatment approach in which both smoking and mental health concerns are simultaneously addressed, which may yield more beneficial physical health and clinical outcomes for post-9/11 veterans.

Assessing cross-lagged associations between depression, anxiety, and binge drinking in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study

BACKGROUND

Between 20 % and 30 % of teens suffer from depression or anxiety before reaching adulthood, and up to half also use or misuse alcohol. Although theories suggest bidirectional links between harmful alcohol use (e.g., binge drinking) and internalizing symptoms (i.e., depression and anxiety), empirical evidence to-date has been mixed. Systematic reviews have attributed mixed findings to limitations in study design, such as the utilization of between-person analyses and the focus on unidirectional effects. The goal of this study was to address these limitations by assessing bidirectional within-person associations between internalizing symptoms and binge drinking over the course of 5 years in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) sample, a large cohort recruited at ages 12-21 and followed annually on substance use and psychiatric functioning.

METHODS

We used latent curve models with structured residuals to examine within-person lagged associations between depression, anxiety, and past month counts of binge drinking using NCANDA data (N = 831). Analyses were supplemented with post-hoc power simulations.

RESULTS

We found marginal evidence linking binge drinking with subsequent depression symptoms one year later among females. We found no evidence that depression or anxiety predicted subsequent binge drinking despite sufficient power.

CONCLUSIONS

Social and cognitive consequences of binge drinking may predict later depression symptoms in adolescence and young adulthood for young women, though there was little evidence favoring self-medication models for binge drinking. We note several moderating variables and common factor mechanisms that may better explain this link.

Do Adults Who Practice Aerobic Physical Activities Have Different Influencing Factors for Depression: A Secondary Data Analysis

Practice in aerobic activities can positively impact depression. This study aimed to identify differences between adults who do and do not practice aerobic activities in terms of general, physical, and psychological factors that influence depression. This study comprised a secondary analysis of data from the 6th (year 2) and 7th (years 1, 3) editions of the Korea National Health and Nutrition Examination Survey. Data from 12,891 adults were analyzed, of whom 7148 reported no practice in aerobic physical activities and 5743 reported practicing such activities. Data were analyzed using SPSS 25. Among those who did not perform aerobic activities, gender, family income, marital status, obesity, frequency of drinking, subjective health, subjective body weight, and stress were found to influence the level of depression. For those who practiced aerobic activities, gender, age, family income, education level, marital status, blood pressure, hypercholesterolemia status, frequency of drinking, subjective health, subjective body weight, and stress influenced the level of depression. This study found that the factors affecting depressive symptoms differ depending on whether individuals practice aerobic activities. Thus, to reduce depressive symptoms among adults, it is necessary to consider their level of physical activity and target the influencing factors associated with this level.

Chronic Stress and Depression in Periodontitis and Peri-Implantitis: A Narrative Review on Neurobiological, Neurobehavioral and Immune-Microbiome Interplays and Clinical Management Implications

Besides the well-known systemic factors for periodontal and peri-implant diseases, additional co-factors, such as chronic stress and depression, may also affect disease onset and progression as well as treatment responsiveness. Neurobiological and neurobehavioral pathogenic links between chronic stress and depression, on the one side, and periodontitis and peri-implantitis, on the other side, which have been little investigated and principally related to necrotizing periodontal disease, have been reviewed, along with their putative interconnections with periodontal immune-microbiome balance. Rising evidence suggest that dysregulated neurobiological and neurobehavioral factors, as well as periodontal immune-microbiome unbalance, all related to chronic stress and depression, may crucially interact and thus represent contributing factors in the genesis and worsening not only of necrotizing periodontal lesions, but also of chronic periodontitis and peri-implantitis. Such potential interconnections may be even more relevant in recurrent and aggressive cases of periodontal and peri-implant disease, which are frequently refractory to therapy, and may, if corroborated, coherently pave the way for personalized prevention and treatment strategies, possibly targeting immune-microbiome unbalance and neurobehavioral factors and focusing on neurobiological ones, especially in chronically stressed and depressed subjects with periodontitis and peri-implantitis.

Using Mendelian randomization to explore the gateway hypothesis: possible causal effects of smoking initiation and alcohol consumption on substance use outcomes

BACKGROUND AND AIMS

Initial use of drugs such as tobacco and alcohol may lead to subsequent more problematic drug use-the 'gateway' hypothesis. However, observed associations may be due to a shared underlying risk factor, such as trait impulsivity. We used bidirectional Mendelian randomization (MR) to test the gateway hypothesis.

DESIGN

Our main method was inverse-variance weighted (IVW) MR, with other methods included as sensitivity analyses (where consistent results across methods would raise confidence in our primary results). MR is a genetic instrumental variable approach used to support stronger causal inference in observational studies.

SETTING AND PARTICIPANTS

Genome-wide association summary data among European ancestry individuals for smoking initiation, alcoholic drinks per week, cannabis use and dependence, cocaine and opioid dependence (n = 1749-1 232 091).

MEASUREMENTS

Genetic variants for exposure.

FINDINGS

We found evidence of causal effects from smoking initiation to increased drinks per week [(IVW): β = 0.06; 95% confidence interval (CI) = 0.03-0.09; P = 9.44 × 10-06 ], cannabis use [IVW: odds ratio (OR) = 1.34; 95% CI = 1.24-1.44; P = 1.95 × 10-14 ] and cannabis dependence (IVW: OR = 1.68; 95% CI = 1.12-2.51; P = 0.01). We also found evidence of an effect of cannabis use on the increased likelihood of smoking initiation (IVW: OR = 1.39; 95% CI = 1.08-1.80; P = 0.01). We did not find evidence of an effect of drinks per week on other substance use outcomes, except weak evidence of an effect on cannabis use (IVW: OR = 0.55; 95% CI = 0.16-1.93; P-value = 0.35). We found weak evidence of an effect of opioid dependence on increased drinks per week (IVW: β = 0.002; 95% CI = 0.0005-0.003; P = 8.61 × 10-03 ).

CONCLUSIONS

Bidirectional Mendelian randomization testing of the gateway hypothesis reveals that smoking initiation may lead to increased alcohol consumption, cannabis use and cannabis dependence. Cannabis use may also lead to smoking initiation and opioid dependence to alcohol consumption. However, given that tobacco and alcohol use typically begin before other drug use, these results may reflect a shared risk factor or a bidirectional effect for cannabis use and opioid dependence.

OUP accepted manuscript

Objective

To review evidence from longitudinal studies on the association between prescription opioid use and common mood and anxiety symptoms.

Design

We conducted a systematic review and meta-analysis according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Methods

We searched PubMed, Embase, and PsycINFO for search terms related to opioids AND (depression OR bipolar OR anxiety OR post-traumatic stress disorder [PTSD]). Findings were summarized narratively, and random-effects meta-analyses were used to pool effect sizes.

Results

We identified 10,290 records and found 10 articles that met our inclusion criteria. Incidence studies showed that people who used prescription opioids had an elevated risk of any mood outcome (adjusted effect size [aES] = 1.80 [95% confidence interval = 1.40–2.30]) and of an anxiety outcome (aES = 1.40 [1.20–1.80]) compared with those who did not use prescription opioids. Associations with depression were small and not significant after adjustment for potential confounders (aES = 1.18 [0.98–1.41]). However, some studies reported an increased risk of depressive symptoms after increased (aES = 1.58 [1.30–1.93]) or prolonged opioid use (aES = 1.49 [1.19–1.86]).

Conclusions

Mental health should be considered when opioids are prescribed because some patients could be vulnerable to adverse mental health outcomes.

Association of Environmental tobacco smoke exposure with depression among non-smoking adults

Background

Depression is a psychological dysfunction that impairs health and quality of life. However, whether environmental tobacco smoke exposure (ETSE) is associated with depression is poorly understood. This study was designed to evaluate the association of ETSE with depression among non-smoking adults in the United States.

Method

Using the 2015–2016 United States National Health and Nutrition Examination Survey (NHANES), we identified 2623 adults (females – 64.2%, males – 35.8%) who had never smoked and applied multivariable adjusted-logistic regression to determine the adjusted odds ratio (aOR) and 95% confidence interval (CI) at P < 0.05 for the association of ETSE with depression adjusting for relevant confounders.

Results

Mean age of respondents was 46.5 ± 17.9 years, 23.5% reported ETSE, and 4.7% reported depression. Also, aORs for the association of ETSE with depression were 1.992 (1.987, 1.997) among females and 0.674 (0.670, 0.677) among males. When we examined the association by age groups, the aORs were 1.792 (1.787, 1.796) among young adults (< 60 years) and 1.146 (1.140, 1.152) among older adults (≥60 years).

Conclusions

We found that ETSE was associated with higher odds of depression among females but not among males.

Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults?

We assessed whether tobacco screening provides clinically meaningful information about other substance use, including alcohol and other drug use, potentially facilitating targeting of screening for substance use. Using data from the Veterans Aging Cohort Study survey sample (VACS; N = 7510), we calculated test performance characteristics of tobacco use screening results for identification of other substance use including sensitivity, specificity, positive-likelihood-ratio (+LR = [sensitivity/(1-specificity)]: increase in odds of substance use informed by a positive tobacco screen), and negative-likelihood-ratio (-LR: [(1-sensitivity)/specificity]: reduction in odds of substance use informed by a negative tobacco screen). The sample was 95% male, 75% minority, and 43% were current and 33% were former smokers. Never smoking, versus any history, indicated an approximate four-fold decrease in the odds of injection drug use (-LR = 0.26), an approximate 2.5-fold decrease in crack/cocaine (-LR = 0.35) and unhealthy alcohol use (-LR = 0.40), an approximate two-fold decrease in marijuana (-LR = 0.51) and illicit opioid use (-LR = 0.48), and an approximate 30% decrease in non-crack/cocaine stimulant use (-LR = 0.75). Never smoking yielded more information than current non-smoking (never/former smoking). Positive results on tobacco screening were less informative than negative results; current smoking, versus former/never smoking, provided more information than lifetime smoking and was associated with a 40% increase in the odds of non-crack/cocaine stimulant use (+LR = 1.40) and opioid use (+LR = 1.44), 50% increase in marijuana use (+LR = 1.52) and injection drug use (+LR = 1.55), and an 80-90% increase in crack/cocaine use (+LR = 1.93) and unhealthy alcohol use (+LR = 1.75). When comprehensive screening for substance use is not possible, tobacco screening may inform decisions about targeting substance use screening.

Association of Social and Behavioral Risk Factors With Mortality Among US Veterans With COVID-19

IMPORTANCE

The US Department of Veterans Affairs (VA) offers programs that reduce barriers to care for veterans and those with housing instability, poverty, and substance use disorder. In this setting, however, the role that social and behavioral risk factors play in COVID-19 outcomes is unclear.

OBJECTIVE

To examine whether social and behavioral risk factors were associated with mortality among US veterans with COVID-19 and whether this association might be modified by race/ethnicity.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from the VA Corporate Data Warehouse to form a cohort of veterans who received a positive COVID-19 test result between March 2 and September 30, 2020, in a VA health care facility. All veterans who met the inclusion criteria were eligible to participate in the study, and participants were followed up for 30 days after the first SARS-CoV-2 or COVID-19 diagnosis. The final follow-up date was October 31, 2020.

EXPOSURES

Social risk factors included housing problems and financial hardship. Behavioral risk factors included current tobacco use, alcohol use, and substance use.

MAIN OUTCOMES AND MEASURES

The primary outcome was all-cause mortality in the 30-day period after the SARS-CoV-2 or COVID-19 diagnosis date. Multivariable logistic regression was used to estimate odds ratios, clustering for health care facilities and adjusting for age, sex, race, ethnicity, marital status, clinical factors, and month of COVID-19 diagnosis.

RESULTS

Among 27 640 veterans with COVID-19 who were included in the analysis, 24 496 were men (88.6%) and the mean (SD) age was 57.2 (16.6) years. A total of 3090 veterans (11.2%) had housing problems, 4450 (16.1%) had financial hardship, 5358 (19.4%) used alcohol, and 3569 (12.9%) reported substance use. Hospitalization occurred in 7663 veterans (27.7%), and 1230 veterans (4.5%) died. Housing problems (adjusted odds ratio [AOR], 0.96; 95% CI, 0.77-1.19; P = .70), financial hardship (AOR, 1.13; 95% CI, 0.97-1.31; P = .11), alcohol use (AOR, 0.82; 95% CI, 0.68-1.01; P = .06), current tobacco use (AOR, 0.85; 95% CI, 0.68-1.06; P = .14), and substance use (AOR, 0.90; 95% CI, 0.71-1.15; P = .41) were not associated with higher mortality. Interaction analyses by race/ethnicity did not find associations between mortality and social and behavioral risk factors.

CONCLUSIONS AND RELEVANCE

Results of this study showed that, in an integrated health system such as the VA, social and behavioral risk factors were not associated with mortality from COVID-19. Further research is needed to substantiate the potential of an integrated health system to be a model of support services for households with COVID-19 and populations who are at risk for the disease.

Cannabis use among military veterans: A great deal to gain or lose?

Policy changes have resulted in dramatic increases in access to cannabis for medical purposes. Veterans are disproportionately affected by conditions for which medical cannabis is often pursued, making an evidence-based perspective on risks versus benefits of high priority. The current review sought to examine the state of the evidence on the correlates and consequences of cannabis use among veterans. Using a comprehensive search strategy, 501 articles were identified and 86 studies met criteria for inclusion. The literature was predominated by cross-sectional studies (67%) of male veterans (71.4%-100% male) from the United States (93.0%). Three overarching themes emerged, comprising cannabis associations with other substance use, mental health, and physical health outcomes. The balance of the evidence associated cannabis use with negative health outcomes, with consistent positive associations with other substance use, psychiatric disorders, and self-harm/suicidality. Few studies examined the therapeutic effects of cannabis, thus limiting the potential to evaluate evidence of efficacy. Priority areas for future research are studies using designs that can examine the directionality of links between cannabis and health in veterans more conclusively, and studies directly examining therapeutic efficacy of cannabis-based therapies in veterans. Methodologically rigorous design will be essential to inform clinical recommendations and practices guidelines in an era of burgeoning access to cannabis.

Depression, periodontitis, caries and missing teeth in the USA, NHANES 2009-2014

Purpose

This study aimed to investigate the association between self-reported depressive symptoms and oral diseases in US adults, including periodontitis, caries, missing teeth and untreated dental caries.

Design

This study was designed as a secondary data analysis of a cross-sectional survey. We conducted descriptive, multivariable logistic and Poisson regression analyses on weighted data.

Setting

US National Health and Nutrition Examination Survey 2009–2014 data.

Participants

Individuals aged ≥30 years who completed a periodontal examination and depression screening (n=9799).

Results

21.6% (28.9 million) of adults aged ≥30 years reported depressive symptoms, with a higher prevalence among females, current smokers and participants with lower income and education status. More than half of the adults with moderate depressive symptoms had periodontal diseases, and more than one-third had teeth with untreated dental caries. After adjusting for sociodemographics, behavioural factors, having diabetes and psychotherapeutic medication use, depressive symptoms were associated with poorer oral health. Severe depressive symptoms were associated with higher odds of mild periodontitis (2.20; 99% CI 1.03 to 4.66). For those with mild depressive symptoms, the mean number of missing teeth was 1.20 (99% CI 1.06 to 1.37) times the average of non-symptomatic individuals; and 1.38 times (99% CI 1.15 to 1.66) among individuals with moderate depressive symptoms.

Conclusions

Depressive symptoms were associated with mild periodontitis and a greater number of missing teeth, while having teeth with untreated dental caries was attributed to sociodemographic factors. Awareness of oral health status among patients with depressive symptoms can inform both dental and mental health providers to develop tailored treatment and help patients achieve overall wellness.

Does Reducing Drinking in Patients with Unhealthy Alcohol Use Improve Pain Interference, Use of Other Substances, and Psychiatric Symptoms?

BACKGROUND

We aimed to investigate the impact of reducing drinking in patients with unhealthy alcohol use on improvement of chronic pain interference, substance use, and psychiatric symptoms.

METHODS

We analyzed longitudinal data from 2003 to 2015 in the Veterans Aging Cohort Study, a prospective, multisite observational study of US veterans, by emulating a hypothetical randomized trial (a target trial). Alcohol use was assessed using the Alcohol Use Disorders Identification Test (AUDIT) questionnaire, and outcome conditions were assessed via validated survey items. Individuals were followed from the first time their AUDIT score was ≥ 8 (baseline), a threshold consistent with unhealthy alcohol use. We compared individuals who reduced drinking (AUDIT < 8) at the next follow-up visit with individuals who did not (AUDIT ≥ 8). We fit separate logistic regression models to estimate odds ratios for improvement of each condition 2 years postbaseline among individuals who had that condition at baseline: moderate or severe pain interference symptoms, tobacco smoking, cannabis use, cocaine use, depressive symptoms, and anxiety symptoms. Inverse probability weighting was used to account for potential selection bias and confounding.

RESULTS

Adjusted 2-year odds ratios (95% confidence intervals) for associations between reducing drinking and improvement or resolution of each condition were as follows: 1.49 (0.91, 2.42) for pain interference symptoms, 1.57 (0.93, 2.63) for tobacco smoking, 1.65 (0.92, 2.95) for cannabis use, 1.83 (1.03, 3.27) for cocaine use, 1.11 (0.64, 1.92) for depressive symptoms, and 1.33 (0.80, 2.22) for anxiety symptoms.

CONCLUSIONS

We found some evidence for improvement of pain interference symptoms and substance use after reducing drinking among US veterans with unhealthy alcohol use, but confidence intervals were wide.

Association between tobacco smoking and opioid use: A meta-analysis

BACKGROUND

Tobacco smoking has been shown to be a major risk factor for opioid use and opioid use disorders in several observational studies; however, the results are inconsistent. Thus, this systematic review and meta-analysis of observational studies was conducted to investigate the association between smoking behavior and opioid use and opioid use disorders.

METHODS

A systematic literature search of relevant keywords was done in Medline, Embase, Scopus, Web of Science, and Google Scholar up to October 2017. The reference lists of retrieved articles were also examined for inclusion. While random effects meta-analysis was used, pooled odds ratio (OR) and 95% confidence intervals were calculated using Der-Simonian and Laird method, taking into account conceptual heterogeneity. Subgroup analyses were performed using participants and studies' characteristics to assess the sources of heterogeneity.

RESULTS

Ten eligible observational studies (6 cohorts and 4 population-based cross sectional studies), with 175,063 participants, were identified. The pooled OR of opioid use disorders was 8.23 (95% CI: 3.07-22.09) for current smokers compared to nonsmokers; pooled OR for opioid use was 2.51 (95% CI: 1.91-3.28). Opioid use or opioid use disorders were positively associated with earlier age at onset of smoking (pooled OR = 1.66; 95% CI: 1.28-2.16).

CONCLUSIONS

The results of this meta-analysis confirmed that tobacco smoking is associated with opioid use and opioid use disorders development. This conclusion has an important public health message for areas with high smoking prevalence and high opioid use and opioid use disorders incidence.

Racial differences in weathering and its associations with psychosocial stress: The CARDIA study

Biological age (BA) is a construct that captures accelerated biological aging attributable to "wear and tear" from various exposures; we measured BA and weathering, defined as the difference between BA and chronological age, and their associations with race and psychosocial factors in a middle-aged bi-racial cohort. We used data from the Coronary Artery Risk in Young Adults study (CARDIA), conducted in 4 U.S. cities from 1985-2016 to examine weathering for adults aged 48-60 years. We estimated BA via the Klemera and Doubal method using selected biomarkers. We assessed overall and race-specific associations between weathering and psychosocial measures. For the 2694 participants included, Blacks had a BA (SD) that was 2.6 (11.8) years older than their chronological age while the average BA among Whites was 3.5 (10.0) years younger than their chronological age (Blacks weathered 6.1 years faster than Whites). Belonging to more social groups was associated with less weathering in Blacks but not Whites, and after multivariable adjustment, lower SES and more depressive symptoms were associated with more weathering among Blacks than among Whites. We confirmed racial differences in weathering, and newly documented that similar psychosocial factors may take a greater toll on the biological health of Blacks than Whites.

Do Symptoms of Depression Interact with Substance Use to Affect HIV Continuum of Care Outcomes?

Few studies examine how depression and substance use interact to affect HIV control. In 14,380 persons with HIV (PWH), we used logistic regression and generalized estimating equations to evaluate how symptoms of depression interact with alcohol, cocaine, opioid, and methamphetamine use to affect subsequent retention in care, maintaining an active prescription for ART, and consistent virologic suppression. Among PWH with no or mild depressive symptoms, heavy alcohol use had no association with virologic suppression (OR 1.00 [0.95-1.06]); among those with moderate or severe symptoms, it was associated with reduced viral suppression (OR 0.80 [0.74-0.87]). We found no interactions with heavy alcohol use on retention in care or maintaining ART prescription or with other substances for any outcome. These results highlight the importance of treating moderate or severe depression in PWH, especially with comorbid heavy alcohol use, and support multifaceted interventions targeting alcohol use and depression.

Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality

Background

The effects of tobacco smoking on epigenome-wide methylation signatures in white blood cells (WBCs) collected from persons living with HIV may have important implications for their immune-related outcomes, including frailty and mortality. The application of a machine learning approach to the analysis of CpG methylation in the epigenome enables the selection of phenotypically relevant features from high-dimensional data. Using this approach, we now report that a set of smoking-associated DNA-methylated CpGs predicts HIV prognosis and mortality in an HIV-positive veteran population.

Results

We first identified 137 epigenome-wide significant CpGs for smoking in WBCs from 1137 HIV-positive individuals (p < 1.70E−07). To examine whether smoking-associated CpGs were predictive of HIV frailty and mortality, we applied ensemble-based machine learning to build a model in a training sample employing 408,583 CpGs. A set of 698 CpGs was selected and predictive of high HIV frailty in a testing sample [(area under curve (AUC) = 0.73, 95%CI 0.63~0.83)] and was replicated in an independent sample [(AUC = 0.78, 95%CI 0.73~0.83)]. We further found an association of a DNA methylation index constructed from the 698 CpGs that were associated with a 5-year survival rate [HR = 1.46; 95%CI 1.06~2.02, p = 0.02]. Interestingly, the 698 CpGs located on 445 genes were enriched on the integrin signaling pathway (p = 9.55E−05, false discovery rate = 0.036), which is responsible for the regulation of the cell cycle, differentiation, and adhesion.

Conclusion

We demonstrated that smoking-associated DNA methylation features in white blood cells predict HIV infection-related clinical outcomes in a population living with HIV.

Electronic supplementary material

The online version of this article (10.1186/s13148-018-0591-z) contains supplementary material, which is available to authorized users.

Association Between Health-Related Quality of Life and Physical Functioning in Antiretroviral-Naive HIV-Infected Patients

Background:

Poor functional status can significantly affect Health-Related Quality of Life (HRQoL) of HIV patients. However, there is scarce information on the functional profile of such patients before starting antiretroviral therapy (ART).

Objective:

To estimate the association between health-related quality of life and physical functioning in Antiretroviral-Naive HIV-infected patients.

Methods:

We conducted a cross-sectional study with HIV-infected patients older than 18 years, and naïve to antiretroviral therapy. The patients were evaluated for functional profile by pulmonary function (forced vital capacity, forced expiratory volume at one second, and Tiffeneau index), handgrip strength, and six-minute walk test in a cross-sectional study. HRQoL was evaluated by the 36-Item Short-Form Health Survey and its Physical (PCS) and Mental (MCS) Component Summaries. Multiple linear regression analyses were used to evaluate the association of predictor variables with PCS and MCS scores.

Results:

We found lower HRQoL among females patients, with far below average impairment of mental health component. Both male and female patients presented lower 6MWD function test values. Patients with dynapenia were older than patients without it, presented lower PCS mean score, lower family income, poor 6 MWD function test, lower FVC, and lower FEV1 t. Multivariable logistic regression analyses showed that Grip Strength, age and family income were predictor variables for Physical component of HRQoL. Female gender and smoking habit were predictive for the mental component of HRQoL.

Conclusion:

HRQoL in HIV, drug-naïve patients is predicted by level of dynapenia, smoking, income and gender. Therefore, lifestyle changes and active exercising can help to improve HRQoL in such patients.

Associations of Smoking, Physical Inactivity, Heavy Drinking, and Obesity with Quality-Adjusted Life Expectancy among US Adults with Depression

OBJECTIVES

To examine associations between four health behaviors (smoking, physical inactivity, heavy alcohol drinking, and obesity) and three health indices (health-related quality of life, life expectancy, and quality-adjusted life expectancy (QALE)) among US adults with depression.

METHODS

Data were obtained from the 2006, 2008, and 2010 Behavioral Risk Factor Surveillance System data. The EuroQol five-dimensional questionnaire (EQ-5D) health preference scores were estimated on the basis of extrapolations from the Centers for Disease Control and Prevention's healthy days measures. Depression scores were estimated using the eight-item Patient Health Questionnaire. Life expectancy estimates were obtained from US life tables, and QALE was estimated from a weighted combination of the EQ-5D scores and the life expectancy estimates. Outcomes were summarized by depression status for the four health behaviors (smoking, physical inactivity, heavy alcohol drinking, and obesity).

RESULTS

For depressed adults, current smokers and the physically inactive had significantly lower EQ-5D scores (0.040 and 0.171, respectively), shorter life expectancy (12.9 and 10.8 years, respectively), and substantially less QALE (8.6 and 10.9 years, respectively). For nondepressed adults, estimated effects were similar but smaller. Heavy alcohol drinking among depressed adults, paradoxically, was associated with higher EQ-5D scores but shorter life expectancy. Obesity was strongly associated with lower EQ-5D scores but only weakly associated with shorter life expectancy.

CONCLUSIONS

Among depressed adults, physical inactivity and smoking were strongly associated with lower EQ-5D scores, life expectancy, and QALE, whereas obesity and heavy drinking were only weakly associated with these indices. These results suggest that reducing physical inactivity and smoking would improve health more among depressed adults.

Serum albumin levels and depression in people living with Human Immunodeficiency Virus infection: a cross-sectional study

BACKGROUND

Lower serum albumin levels and depression are common among HIV-infected persons. High serum albumin levels may provide protection against depression through its defensive role in inflammation and infection. We tested the hypothesis of an independent relationship between serum albumin levels and depressive symptoms in a cohort of HIV-infected persons.

METHODS

A cross-sectional survey was conducted among 310 HIV-infected persons (176 men and 134 women) aged 20-60years residing in the Kathmandu Valley, Nepal. The bromocresol green method was used to measure serum albumin levels and the Beck Depression Inventory method was used to measure depressive symptoms, with a cut off score of 20 or higher indicating likely depression. The relationship between serum albumin levels and depressive symptoms was assessed using both multiple linear regression analysis and multiple logistic regression analysis, with adjustment for sociodemographic, cardiovascular, life-style, and HIV-related clinical and treatment confounding factors.

RESULTS

Serum albumin levels were inversely associated with depressive symptoms scores (beta for 1 unit change in serum albumin levels: β=-3.91; p=0.001) for the total participant sample. This inverse association was significant in both men (β=-3.93; p=0.009) and women (β=-4.47; p=0.03). A significantly decreased risk of depression was observed among participants with the highest serum albumin levels, with odds ratio and 95% CI for those with >5.0g/dL versus <4.0g/dL of 0.22 (0.06-0.80) (p=0.01).

CONCLUSION

Serum albumin levels were inversely associated with depressive symptoms scores in HIV-infected persons.