Cigarette smoking and incidence of first depressive episode: an 11-year, population-based follow-up study

Association between atherogenic index of plasma and depressive symptoms in US adults: Results from the National Health and Nutrition Examination Survey 2005 to 2018

OBJECTIVE

This study, utilizing data from the U.S. National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018, investigates the association between the atherogenic index of plasma (AIP), a lipid biomarker, and symptoms of depression in American adults.

METHODS

In this cross-sectional study of 12,534 adults aged 20 years and older, depressive symptoms were measured utilizing the Patient Health Questionnaire-9 (PHQ-9) scale. Weighted logistic regression models were employed to scrutinize the independent relationship between AIP levels and the likelihood of developing such symptoms. Moreover, a series of subgroup analyses were conducted to delve deeper into these relationships.

RESULTS

Following adjustment for confounders, logistic regression by grouping AIP into quartiles revealed a significant association between AIP and an augmented likelihood of self-reported depression. Participants in the fourth quartile (Q4) exhibited a higher odds ratio (OR = 1.34, 95 % CI: 1.02-1.75, p < 0.05) compared to those in the first quartile (Q1). Notably, subgroup analysis unveiled significant interactions involving the smoking and diabetes subgroups, indicating that smoking status and diabetes may modify the relationship between AIP and depression incidence.

CONCLUSION

This study reveals a positive correlation between AIP and the self-reported likelihood of depression among US adults, thereby underscoring AIP's potential clinical utility as a biomarker for depressive disorders. Our findings emphasize the necessity to consider and optimize cardiovascular health factors within depression management strategies and offer fresh insights into the development of risk stratification and intervention methods for psychiatric conditions.

The Risk of Severe Fibromyalgia, Depression, Anxiety, and Insomnia Symptoms in Arab Women: An Implication of Self-Medication with Analgesics? A Cross-Sectional Study

Background and Objectives: The investigation of the psychosomatic symptoms in women residing in developing countries is still emerging. To be precise, the prevalence and correlates of severe fibromyalgia, depression, anxiety, and insomnia are understudied in Arab women, as these symptoms could relate to improper self-medication. This study mainly investigated the association between self-medication with analgesics and fibromyalgia, depression, anxiety, and insomnia symptoms among a community-based cohort of females in Jordan. Materials and Methods: We used a web-based cross-sectional study design. Fibromyalgia, depression, anxiety, and insomnia were assessed using validated scales. The used over-the-counter (OTC) painkillers were recorded. Results: Data were analyzed from 741 women, and fibromyalgia was screened in 16.4%, depression in 37.4%, anxiety in 27.8%, and insomnia in 38.3%. Fibromyalgia was associated with "married" (OR = 1.5, 95% CI = 1.017-2.305), "using OTC acetaminophen" (OR = 1.75, 95% CI = 1.15-2.69), "using herbal remedies" (OR = 2.02, 95% CI = 1.33-3.07), and "using antiseizure medications" (OR = 2.43, 95% CI = 1.38-4.28). Severe depression was significantly associated with "age" (OR = 0.97, 95% CI = 0.96-0.99), "high school education" (OR = 1.90, 95% CI = 1.21-2.98), "smoking" (OR = 1.72, 95% CI = 1.15-2.56), "OTC acetaminophen" (OR = 1.40, 95% CI = 1.02-1.92), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.75, 95% CI = 1.15-2.65), and "antiseizures" (OR = 2.19, 95% CI = 1.30-3.70). Severe anxiety was significantly associated with "smoking" (OR = 2.08, 95% CI = 1.40-3.12), "OTC acetaminophen" (OR = 1.48, 95% CI = 1.06-2.06), and "antiseizure medications" (OR = 2.04, 95% CI = 1.22-3.41). Severe insomnia was significantly associated with "age" (OR = 0.98, 95% CI = 0.96-0.99), "high school education" (OR = 1.58, 95% CI = 1.01-2.47), "smoking" (OR = 1.51, 95% CI = 1.01-2.25), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.74, 95% CI = 1.13-2.64), "antiseizure medications" (OR = 1.84, 95% CI = 1.09-3.11), and "No analgesics" (OR = 0.48, 95% CI = 0.32-0.71). Conclusions: Self-medication with analgesics is associated with a high burden of psychosomatic symptoms in Arab women, and awareness campaigns are required to guide self-medication behavior.

Life-Course Associations Between Smoking and Depressive Symptoms. A 30-Year Finnish Follow-up Study

INTRODUCTION

Relatively little is known about whether the association between smoking and depressive symptoms changes with age and how the trajectories of smoking and depressive symptoms are intertwined during the life course. In this population-based study, these associations were examined from young adulthood to middle age.

METHODS

Participants of a Finnish cohort study (N = 1955) were assessed at the ages of 22, 32, 42, and 52 using questionnaires covering daily smoking (yes/no) and the short 13-item Beck Depression Inventory. Longitudinal latent class and longitudinal latent profile analyses were used to identify life course trajectories of smoking and depressive symptoms.

RESULTS

The proportions of daily smokers decreased, while levels of depressive symptoms increased among both females and males from age 22 to 52 years. Smoking was associated with higher levels of depressive symptoms from age 22 to 42 years, while not at 52. Associations among males prevailed when adjusting for education, marital status, and alcohol use. Four life course classes of daily smoking (nonsmokers, decreasing prevalence of smoking, persistent smokers, and increasing prevalence of smoking) and four trajectories of depressive symptoms (low, increasing/moderate, decreasing/moderate, and high) were identified. In males, persistent daily smokers (relative risk ratio (RRR) = 4.5, 95% confidence interval (CI): 2.2 to 9.2) and those in the class with increasing smoking prevalence (RRR = 3.2, 95% CI: 1.1 to 9.1) had an increased risk of belonging to the high depressive symptoms profile. In females these associations were nonsignificant.

CONCLUSIONS

Compared to females, the relationship between smoking and depressive symptoms seems more robust among males during adulthood. Specifically, males smoking persistently from young adulthood to middle age have an increased risk of high depressive symptoms trajectory.

IMPLICATIONS

This population-based cohort with 30 years of follow-up showed that the life course trajectories of daily smoking and depressive symptoms are associated. Persistent daily smokers and those starting late had an increased risk of belonging to the profile with constantly high levels of depressive symptoms during the life course. However, these associations were statistically significant only in males. Actions should be strengthened, especially in males, to prevent smoking initiation, to help smoking cessation, and to identify and treat depression in smokers with significant depressive symptoms.

Increased regional body fat is associated with depressive symptoms: a cross-sectional analysis of NHANES data obtained during 2011-2018

AIMS

The findings from previous epidemiological studies of the association between regional body fat and depressive symptoms have been unclear. We aimed to determine the association between the body fat in different regions and depressive symptoms based on data from the National Health and Nutrition Examination Survey (NHANES).

METHODS

This study included 3393 participants aged ≥ 20 years from the NHANES performed during 2011-2018. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The fat mass (FM) was measured in different regions using dual-energy X-ray absorptiometry to determine the total FM, trunk FM, arm FM, and leg FM. The FM index (FMI) was obtained by dividing the FM in kilograms by the square of the body height in meters. Weighted data were calculated in accordance with analytical guidelines. Linear logistic regression models were used to quantify the association between regional FMI and depressive symptoms. Univariate and stratified analyses were also performed.

RESULTS

The participants in this study comprised 2066 males and 1327 females. There were 404 (11.91%) participants with depressive symptoms, who were aged 40.89 ± 11.74 years and had a body mass index of 30.07 ± 7.82 kg/m². A significant association was found between total FMI and depressive symptoms. In the fully adjusted multivariate regression model, a higher total FMI (odds ratio = 2.18, 95% confidence interval [CI] = 1.08-4.39) was related to a higher risk of depressive symptoms, while increased total FMI (β = 1.55, 95% CI = 0.65-2.44, p = 0.001), trunk FMI (β = 0.57, 95% CI = 0.04-1.10, p = 0.036), and arm FMI (β = 0.96, 95% CI = 0.33-1.59, p = 0.004) were significantly associated with PHQ-9 (Patient Health Questionnaire-9) scores, whereas the leg FMI was not (p = 0.102). The weighted association between total FMI and depressive symptoms did not differ significantly between most of the subpopulations (all p values for interaction > 0.05). The risk of having depression was higher in individuals who were non-Hispanic Whites, smokers, drinkers, obese, and had diabetes and thyroid problems (p < 0.05).

CONCLUSION

These findings suggest that the population with a higher regional FMI is more likely to have depressive symptoms, especially in those who also have an increased total FMI. The association is more pronounced in individuals who are smokers, drinkers, obese, and have diabetes and thyroid problems.

Fluoxetine rescues the depressive-like behaviour induced by reserpine and the altered emotional behaviour induced by nicotine withdrawal in zebrafish: Involvement of tyrosine hydroxylase

BACKGROUND

Nicotine cessation leads to anxiety and depression.

AIMS

The suitability of the zebrafish model of anhedonia using reserpine and fluoxetine was evaluated. Fluoxetine was also used to reduce nicotine withdrawal-induced anhedonic state.

METHODS

Zebrafish were exposed to reserpine (40 mg/l) and then to fluoxetine (0.1 mg/l) for 1 week. Anhedonia was evaluated in the Novel Tank Diving and Compartment Preference tests. Another group was exposed to nicotine (1 mg/l/2 weeks) and then exposed to fluoxetine. Anxiety and anhedonia were evaluated 2-60 days after. Tyrosine hydroxylase (TH) immunoreactivity and microglial morphology (labelled by 4C4 monoclonal antibody) in the parvocellular pretectal nucleus (PPN), dorsal part, and of calcitonin gene-related peptide (CGRP) in the hypothalamus were also analysed.

RESULTS

Less time in the top and increased latency to the top in reserpine compared to a drug-free group was found. Fluoxetine rescued reserpine-induced the reduced time in the top. Seven and 30 days after nicotine withdrawal more time in the bottom and similar time in the Compartment Preference test, rescued by fluoxetine, were shown. In the PPN, 30-day withdrawal induced an increase in TH immunoreactivity, but fluoxetine induced a further significant increase. No changes in PPN microglia morphology and hypothalamic CGRP were detected.

CONCLUSIONS

Our findings validate the suitability of the zebrafish model of anhedonia using the reserpine-induced depression-like behaviour and the predictivity using fluoxetine. Fluoxetine rescued nicotine withdrawal-induced anhedonic state, opening the possibility to screen new drugs to alleviate anxiety and depression in smokers during abstinence.

Facilitating Mental Health Treatment Through Proactive Screening and Concierge Services in the Workplace

OBJECTIVE

The aim of this study is to determine if a proactive employer-sponsored mental health program closed gaps in detection and treatment of mental health conditions.

METHODS

Of n = 56,442 eligible, n = 8170 (14.5%) participated in the optional screening. Participants with mental health risk were offered care concierge services including support, care planning, and connection to care. Difference in behavioral health care utilization, diagnoses, and prescriptions were evaluated postintervention through claims analysis.

RESULTS

Compared with controls (n = 2433), those receiving concierge services (n = 369) were more likely to fill mental health prescriptions (adjusted hazards ratio [HR], 1.2; 1.0-1.5; P = 0.042), use professional mental health services (adjusted HR, 1.4; 1.1-1.8; P = 0.02), and use new mental health services (adjusted HR, 1.9; 1.2-2.8; P = 0.004) in the following 6 months.

CONCLUSIONS

This proactive mental health program with care concierge services identified risk, connected individuals to mental health care, and facilitated mental health treatment, among program participants.

Maternal smoking during pregnancy, offspring smoking, adverse childhood events, and risk of major depression: a sibling design study

BACKGROUND

Evidence of a biologically plausible association between maternal smoking during pregnancy (MSP) and the risk of depression is discounted by null findings from two sibling studies. However, valid causal inference from sibling studies is subject to challenges inherent to human studies of MSP and biases particular to this design. We addressed these challenges in the first sibling study of MSP and depression conducted among adults past the peak age for the onset of depression, utilizing a prospectively collected and biologically validated measure of MSP and accounting for non-shared as well as mediating factors.

METHODS

We fit GEE binomial regression models to correct for dependence in the risk of depression across pregnancies of the same mother. We also fit marginal structural models (MSM) to estimate the controlled direct effect of MSP on depression that is not mediated by the offspring's smoking status. Both models allow the estimation of within- and between-sibling risk ratios.

RESULTS

The adjusted within-sibling risk ratios (RR_W) from both models (GEE: RR_W = 1.97, CI 1.16-3.32; MSM: RR_W = 2.08, CI 1.04-4.17) evinced an independent association between MSP and risk of depression. The overall effects from a standard model evinced lower associations (GEE: RR_T = 1.12, CI 0.98-1.28; MSM: RR_T = 1.18, CI 1.01-1.37).

CONCLUSIONS

Based on within-sibling information free of unmeasured shared confounders and accounting for a range of unshared factors, we found an effect of MSP on the offspring's risk of depression. Our findings, should they be replicated in future studies, highlight the importance of considering challenges inherent to human studies of MSP and affective disorders.

Smoking and Depression Risk Reduction in a Primary Care Setting

INTRODUCTION

Smoking is associated with many diseases and is a target for primary preventive efforts in numerous morbidities. Studies show that smoking and depression may be associated. Never-smokers are at significantly lower risk than current and former smokers. Despite this observation, the effect of smoking on depression risk reduction has not been adequately explored. The purpose of this study was to explore the effect of smoking on depression risk reduction in adult patients seen in a primary care clinic at an academic medical center 6 months after they were identified as being at risk for depression. Findings may influence the direction and intensity of our smoking cessation endeavors in patients at risk of depression who smoke.

METHODS

We conducted an analytic cross-sectional study using electronic medical records of patients 18 years and older seen a primary care setting between January 1, 2019 and December 31, 2020. All participants included had an initial depression risk score (assessed by the 9-item Patient Health Questionnaire (PHQ-9)) of 5 or higher, information on smoking status and a PHQ-9 score at 6 months. We determined the percentage of patients with PHQ-9 score decrease of 5 or more at 6 months and used logistic regression to determine the association depression risk reduction (of 5 units or more) at 6 months and smoking, adjusting for demographic, clinical, and behavioral characteristics.

RESULTS

Number of patients included were 120, mean age was 55 (16), years, 88 (74%) were female, 68 (57%) were African American, and 31 (26%) were Caucasian. Fifty (44%) had a history of smoking and 31 (25.8%) had improvement (ie, a decrease of 5 units or more) in their PHQ-9 score at 6 months. Smoking was associated with decreased odds of improvement in depressive symptoms (Odds ratio = 0.32, 95% Confidence interval: 0.12-0.87).

CONCLUSION

Risk of depression was more likely to persist in smokers than non-smokers at 6 months. Addressing smoking behavior in those with risk of depression may be beneficial.

Monoamine oxidase inhibition in cigarette smokers: From preclinical studies to tobacco product regulation

Monoamine oxidase (MAO) activity is reduced in cigarette smokers and this may promote the reinforcing actions of nicotine, thereby enhancing the addictive properties of cigarettes. At present, it is unclear how cigarette smoking leads to MAO inhibition, but preclinical studies in rodents show that MAO inhibition increases nicotine self-administration, especially at low doses of nicotine. This effect of MAO inhibition develops slowly, likely due to plasticity of brain monoamine systems; studies relying on acute MAO inhibition are unlikely to replicate what happens with smoking. Given that MAO inhibition may reduce the threshold level at which nicotine becomes reinforcing, it is important to consider this in the context of very low nicotine content (VLNC) cigarettes and potential tobacco product regulation. It is also important to consider how this interaction between MAO inhibition and the reinforcing actions of nicotine may be modified in populations that are particularly vulnerable to nicotine dependence. In the context of these issues, we show that the MAO-inhibiting action of cigarette smoke extract (CSE) is similar in VLNC cigarettes and cigarettes with a standard nicotine content. In addition, we present evidence that in a rodent model of schizophrenia the effect of MAO inhibition to enhance nicotine self-administration is absent, and speculate how this may relate to brain serotonin systems. These issues are relevant to the MAO-inhibiting effect of cigarette smoking and its implications to tobacco product regulation.

The effects of smoking habit change on the risk of depression-Analysis of data from the Korean National Health Insurance Service

BACKGROUND

We examined the effects of smoking habit change on the risk of depression using the National Health Insurance Service-National Health Screening Cohort database of Korea.

METHODS

This nationwide population-based cohort study included 88,931 men aged 40 years or older. The participants were divided into baseline heavy (≥20 cigarettes/day), moderate (10-19 cigarettes/day), and light (<10 cigarettes/day) smokers, quitters, and never smokers. Smokers were then categorized as continual smokers, reducers, quitters, and non-smokers based on the two-year change in smoking status between the first and second health examinations. The participants were followed from the index date to 2013 to assess depression status. Cox proportional models were used to examine the effects of smoking habit change on the risk of depression.

RESULTS

After a median 7.7 years of follow-up, 2,833 depression cases were identified. Never smokers and long-term quitters had a lower risk of depression than heavy continual smokers (hazard ratio, HR 0.817; 95% CI, confidence interval 0.689-0.967 and HR: 0.691; 95% CI: 0.559-0.853, respectively). Short-term quitters and reducers had a lower risk of depression, but it was not significant. The influence of smoking on depression was prominent among men in their 50 s (HR: 0.585; 95% CI: 0.419-0.820 in long-term quitters, HR:.0.738; 95% CI: 0.570-0.954 in never smokers).

LIMITATIONS

The information about smoking habits was based on self-reported questionnaires. This study examined only men because the smoking rate among women in Korea is very low.

CONCLUSIONS

This population-based study found that never smokers and long-term quitters have lower risk of depression. The risk of depression decreased when the amount of smoking decreased, but the difference was not statistically significant. Furthermore, more attention should be paid to middle-aged men when formulating smoking cessation policies.

Semiparametric count data regression for self-reported mental health

''For how many days during the past 30 days was your mental health not good?" The responses to this question measure self-reported mental health and can be linked to important covariates in the National Health and Nutrition Examination Survey (NHANES). However, these count variables present major distributional challenges: the data are overdispersed, zero-inflated, bounded by 30, and heaped in five- and seven-day increments. To address these challenges-which are especially common for health questionnaire data-we design a semiparametric estimation and inference framework for count data regression. The data-generating process is defined by simultaneously transforming and rounding (star) a latent Gaussian regression model. The transformation is estimated nonparametrically and the rounding operator ensures the correct support for the discrete and bounded data. Maximum likelihood estimators are computed using an EM algorithm that is compatible with any continuous data model estimable by least squares. star regression includes asymptotic hypothesis testing and confidence intervals, variable selection via information criteria, and customized diagnostics. Simulation studies validate the utility of this framework. Using star regression, we identify key factors associated with self-reported mental health and demonstrate substantial improvements in goodness-of-fit compared to existing count data regression models.

The impact of adolescent nicotine exposure on alcohol use during adulthood: The role of neuropeptides

Nicotine and alcohol abuse and co-dependence represent major public health crises. Indeed, previous research has shown that the prevalence of alcoholism is higher in smokers than in non-smokers. Adolescence is a susceptible period of life for the initiation of nicotine and alcohol use and the development of nicotine-alcohol codependence. However, there is a limited number of pharmacotherapeutic agents to treat addiction to nicotine or alcohol alone. Notably, there is no effective medication to treat this comorbid disorder. This chapter aims to review the early nicotine use and its impact on subsequent alcohol abuse during adolescence and adulthood as well as the role of neuropeptides in this comorbid disorder. The preclinical and clinical findings discussed in this chapter will advance our understanding of this comorbid disorder's neurobiology and lay a foundation for developing novel pharmacotherapies to treat nicotine and alcohol codependence.

Sex Difference in Comorbid Depression in First-Episode and Drug-Naive Patients With Schizophrenia: Baseline Results From the Depression in Schizophrenia in China Study

OBJECTIVE

Comorbid depression is common in schizophrenia, and sex differences are prominent in many aspects of schizophrenia. However, few studies have investigated sex difference in comorbid depression in schizophrenia. This large sample study aimed to investigate sex differences in first-episode drug-naive (FEDN) patients with schizophrenia comorbid major depressive episode (SZ-MDE).

METHODS

A total of 996 FEDN patients with schizophrenia (472 males/524 females) were recruited. The 17-item Hamilton Depression Rating Scale and Positive and Negative Syndrome Scale (PANSS) were applied.

RESULTS

There was no difference in the prevalence of comorbid MDE between male and female patients with schizophrenia. Among SZ-MDE patients, men had more severe psychotic symptoms (scores of PANSS total scale, negative scale, and general psychopathology scale), more severe depressive symptoms, and higher proportion of severe depression than women (all p < .001). The early onset age of schizophrenia, smoking, and PANSS positive score were the risk factors for comorbid MDE only in female patients with schizophrenia (all p < .05). Furthermore, in female patients with SZ-MDE, smoking was associated with the severity category of depression (p = .001, odds ratio = 2.70). Multiple variable regression demonstrated that the Hamilton Depression Rating Scale score correlated with PANSS general psychopathology (p = .01) and total scores (p = .04) in female SZ-MDE.

CONCLUSIONS

Our results indicate sex differences in proportion of severe depression, clinical symptoms, and factors of comorbid MDE in FEDN patients with schizophrenia. These sex differences have clinical implications for the treatment of depression as related to the nature and severity of psychopathological symptoms in patients with schizophrenia.

Comorbid major depression in first-episode drug-naïve patients with schizophrenia: Analysis of the Depression in Schizophrenia in China (DISC) study

BACKGROUND

Depression is very common in patients with schizophrenia, but few studies have investigated the diagnosed major depressive episode (MDE) in first episode and drug naive (FEDN) schizophrenia. To our best knowledge, this is the first large sample study to examine the prevalence, clinical correlates and associated factors of diagnosed MDE in FEDN schizophrenia, as well as the relationship between depressive symptoms and psychopathological symptoms in these schizophrenia patients.

METHODS

A total of 996 FEDN schizophrenia patients were recruited. The 17-item Hamilton Depression Rating Scale (HAMD17) and Positive and Negative Syndrome Scale (PANSS) were used to assess the severity of depression and psychopathology, respectively.

RESULTS

Our results demonstrated that MDE coexisted in nearly half (49.30%) of FEDN schizophrenia patients. Male gender, smoking, PANSS general psychopathology and early age of onset were associated with MDE in patients with FEDN schizophrenia (all p<0.05). In schizophrenia patients with MDE, oridinal logistic regression showed that men (OR=6.65, 95%CI: 4.12-10.45, p<0.001) and smoking (OR=1.94, 95%CI: 1.25-3.01, p=0.003) were positively associated with severity category of depression (all p<0.05), while multivariate regression showed that HAMD17 total score was significantly associated with the PANSS general psychopathology (B=0.06, t=2.72, p=0.007) and total scores (B=0.04, t=2.57, p=0.01).

CONCLUSION

Our study shows that the prevalence of comorbid MDE is high in FEDN schizophrenia patients. Some demographic and clinical variables are associated with the severity of depression in these schizophrenia patients.

I smoke to cope with pain: patients' perspectives on the link between cigarette smoking and pain

BACKGROUND

For people with chronic pain, cigarette smoking is associated with greater pain intensity and impairment. Researchers have hypothesized a reciprocal relationship in which pain and smoking exacerbate each other, resulting in greater pain and increased smoking. This study aimed to qualitatively examine patient perspectives on this association.

METHODS

A retrospective thematic analysis of smoking cessation counseling notes for 136 veterans in the Pain and Smoking Study, a tailored smoking cessation trial, was conducted. A validated codebook was applied to each counseling note by four independent coders using Atlas.ti (Atlas.ti, Berlin, Germany). Coders participated in a consensus-forming exercise with salient themes validated among the wider research team.

KEY RESULTS

Participants averaged 60 years of age (range 28-77 years) and were 9% female. The median number of cigarettes smoked per day was 15, with a mean pain intensity score in the last week (from 0-10) of 5.1. While not all patients acknowledged a connection between pain and smoking, we found that (1) pain motivates smoking and helps manage pain-related distress, as a coping strategy and through cognitive distraction, and (2) pain motivates smoking but smoking does not offer pain relief. Concerns about managing pain without smoking was identified as a notable barrier to cessation.

CONCLUSION

Many patients with chronic pain who smoke readily identified pain as a motivator of their smoking behavior and are reluctant to quit for this reason. Integrated interventions for smokers with pain should address these perceptions and expectancies and promote uptake of more adaptive self-management strategies for pain.

Exposure to Secondhand Smoke at Home and Psychological Distress among College Students in China: The Role of Parental Attachment

This study examined the link between home SHS exposure and psychological distress among college students in China. Between July and September of 2020, 18-25-year-old students in three Chinese universities were invited to complete an online survey. Data from 872 respondents (mean age = 20.28) were analyzed. Psychological distress was assessed by the 10-item Kessler Scale. Home SHS exposure was assessed by the presence of smoking household members, hours of exposure, and exposure to the number of cigarettes smoked. Maternal and paternal attachment were assessed by the Inventory of Parent and Peer Attachment. Pairwise comparisons of sample characteristics were performed across never-smokers, triers (smoked one or two puffs), and smokers. Generalized linear regression models were constructed to assess the association. More smokers were exposed to home SHS or engaged in ever alcohol and other drug use than never-smokers. In never-smokers, exposure for <1 h/day or ≥3 h/day, or to 6-10 cigarettes/day was associated with increased psychological distress, but they were nullified after adjusting for parental attachment. In smokers, exposure to 6-10 cigarettes/day was associated with decreased psychological distress even after adjusting for parental attachment. Home SHS exposure is a risk factor for psychological wellbeing in never-smokers, the association with smokers warrants further study.

Smoking and Neuropsychiatric Disease-Associations and Underlying Mechanisms

Despite extensive efforts to combat cigarette smoking/tobacco use, it still remains a leading cause of global morbidity and mortality, killing more than eight million people each year. While tobacco smoking is a major risk factor for non-communicable diseases related to the four main groups—cardiovascular disease, cancer, chronic lung disease, and diabetes—its impact on neuropsychiatric risk is rather elusive. The aim of this review article is to emphasize the importance of smoking as a potential risk factor for neuropsychiatric disease and to identify central pathophysiological mechanisms that may contribute to this relationship. There is strong evidence from epidemiological and experimental studies indicating that smoking may increase the risk of various neuropsychiatric diseases, such as dementia/cognitive decline, schizophrenia/psychosis, depression, anxiety disorder, and suicidal behavior induced by structural and functional alterations of the central nervous system, mainly centered on inflammatory and oxidative stress pathways. From a public health perspective, preventive measures and policies designed to counteract the global epidemic of smoking should necessarily include warnings and actions that address the risk of neuropsychiatric disease.

Tobacco Use Predicts Treatment Dropout and Outcome in an Acute, Transdiagnostic Psychiatric Treatment Setting

Tobacco use is consistently associated with greater levels of depression and anxiety, broadly, and preliminary evidence suggests that current tobacco use is a significant predictor of dropout from psychiatric treatment. The current study extends past work to examine the impact of tobacco use on treatment dropout and outcomes in an acute psychiatric treatment setting. Upon intake to a partial hospitalization program (PHP), patients completed a battery of measures assessing sociodemographic characteristics, current tobacco use, depression and generalized anxiety, and substance use. Patients at the PHP also completed measures assessing levels of depression and generalized anxiety again upon discharge from the program. In line with hypotheses, current tobacco use was a significant predictor of dropout from treatment at the PHP. Importantly, this relationship remained significant when statistically controlling for demographic variables and psychiatric and substance use severity (such as number of previous inpatient psychiatric hospitalizations and degree of alcohol or drug problems). Results from the current study indicate that tobacco use is a significant risk factor for treatment dropout. Further research is needed to replicate these findings and to determine the mechanism underlying this link between tobacco use and treatment dropout for people receiving intensive psychiatric care.

Adaptation of the Young Adults' Cigarette Dependence (YACD) Scale for the development and validation of the Adolescent Cigarette Dependence Scale (ACDS)

Vulnerable adolescents may lose control over cigarette use within a day or two after smoking their first cigarette, as nicotine dependence (ND) symptoms may appear before actual daily smoking and usually occur at low levels of daily smoking. Moreover, smoking can cause illnesses and promote other types of substance abuse. Therefore, it was deemed essential to adapt the Young Adults' Cigarette Dependence (YACD) Scale to develop and validate the Adolescent Cigarette Dependence Scale (ACDS) in Lebanese adolescents and evaluate whether cumulative cigarette smoking is associated with nicotine dependence and symptoms of dependence. A cross-sectional study was carried out between August and September 2020, during the partial sanitary lockdown imposed by the government to limit COVID-19, coinciding with the summer holidays for most Lebanese. The total sample consisted of 564 community-dwelling adolescents aged 13 to 18. A factor analysis was performed using a varimax rotation. The Kaiser-Meyer-Olkin (KMO) measurement of sampling adequacy and Bartlett's sphericity test were appropriate. The factors retained corresponded to Eigenvalues > 1. Cronbach's alpha value represented the internal consistency of the scale. The Hooked on Nicotine Checklist (HONC) was used to screen for dependence symptoms. All items of the YACD were extracted, except for items 4 (smoking to concentrate at work) and 18 (smoking as a habit), which yielded a three-factor solution (factor 1 = smoking patterns; factor 2 = positive and negative reinforcements; factor 3 = smoking cessation) with Eigenvalues > 1 (variance explained = 56.18%; KMO = 0.784; Bartlett's sphericity test p < 0.001; α_Cronbach = 0.875). The newly generated scale was termed Adolescent Cigarette Dependence Scale (ACDS) and consisted of 19 items. Higher ACDS scores (higher cigarette dependence) were significantly associated with higher HONC scores (higher symptoms of dependence) (rho = 0.647; p < 0.001). Having deceased (B = 8.54) or divorced (B = 4.26) parents and higher cumulative cigarette smoking (B = 0.29) were significantly associated with higher ACDS scores. Higher cumulative cigarette smoking (B = 0.05) was significantly associated with higher HONC scores due to cigarettes. This study could validate a new tool to evaluate nicotine dependence among Lebanese adolescents, the Adolescent Cigarette Dependence Scale (ACDS). This version adapted from the Young Adults' Cigarette Dependence (YACD) Scale is reliable and valuable and correlates well with other scales, such as the HONC. However, further studies are necessary to improve this instrument, adding new questions useful for the diagnosis and evaluation of cigarette dependence.

Associations between family social circumstances and psychological distress among the university students of Bangladesh: To what extent do the lifestyle factors mediate?

Background

While there is a growing body of empirical studies focusing on the social and behavioral predictors of psychological health, the mechanisms that may underlie the reported associations have not been adequately explored. This study aimed to examine the association of social and lifestyle factors with psychological distress, and the potential mediating role of the lifestyle factors in the estimated associations between social circumstances and psychological distress.

Methods

A total of 742 tertiary level students (53% females) from a range of socio-economic backgrounds and multiple educational institutions participated in this cross-sectional study. The 12-items General Health Questionnaire (GHQ-12) was utilized for measuring psychological distress. Data related to students’ socio-demographic characteristics, family social circumstances, and lifestyle factors were also collected. Modified Poisson regression analysis was used to estimate the risk ratios (RR) and their 95% confidence intervals (CI).

Results

The multivariable regression analysis suggests heightened risks of psychological distress associated with low parental Socio-Economic Position (SEP) (RR: 1.36; 95% CI: 1.07, 1.76), childhood poverty (RR: 1.31; 95% CI: 1.11, 1.55), and living away from the family (RR: 1.28; 95% CI: 1.07, 1.54). Among the lifestyle factors, past smoking, physical inactivity, inadequate fruit intake, and poor sleep quality were strongly associated with psychological distress and these associations persisted when the family social circumstances and lifestyle factors were mutually adjusted for. The lifestyle factors did not considerably mediate the estimated associations between family social circumstances and psychological distress.

Conclusion

The social and lifestyle factors operated independently to increase students’ risk of psychological distress. Accordingly, while promoting students’ healthy lifestyles may reduce the overall burden of psychological distress, any equity initiative aiming to minimize the social inequalities in psychological health should be targeted to improving the living conditions in early life.

Comprehensive analysis of depression-related factors among middle-aged residents in Japan, an Eastern culture: A cross-sectional study

There is a need to comprehensively identify depression-related factors, including individual and socioeconomic factors, in each country or cultural area, to consider effective measures to address depression within communities. However, there are not enough studies on middle-aged residents in Japan or other Eastern countries to currently achieve this. Thus, the aim of this study was to comprehensively identify factors related to depression in middle-aged residents in Japan, an Eastern country.The study design was cross-sectional. A questionnaire survey was conducted among all community residents aged 40 to 59 in a rural municipality in Western Japan. The questionnaire contained items on demographic characteristics, psychological factors, health-related behaviors, and socioeconomic factors. A Chi-Squared test or Fisher exact test was used to analyze the relationships between depression and each assessed factor. Next, a logistic regression analysis was performed to identify comprehensive relationships between depression and its related factors.Data from 362 participants were analyzed. The average age was 51.5 years; 148 were male. A Chi-Squared test or Fisher exact test demonstrated that many psychological factors, health-related behaviors, and socioeconomic factors ware significantly related to depression. A logistic regression analysis showed that depression was significantly associated with male gender, low sense of coherence, high cognitive stress levels, low help-seeking behavior, poor quality sleep, and a lack of hobbies. Nagelkerke R2 was 51%.This study revealed through multivariate analysis that depression was primarily associated with personal behavioral and psychological factors in Japan, an Eastern country with a holistic cultural background. This result is consistent with findings from Western countries. This study can contribute the promotion and evaluation of preventive measures for depression in Eastern culture that focus on individual behavioral and psychological factors.

Use of alcohol, drugs, inhalants, and smoking tobacco and the long-term risk of depression in men: A nationwide Swedish cohort study from 1969-2017

BACKGROUND

The use of alcohol, drugs, inhalants, and smoking tobacco may lead to mood disorders such as depression. However, knowledge on the independent contributions of the use of these substances to the risk of depression is lacking.

METHODS

The study cohort consisted of 24,564 men included in the Swedish national military conscription register who were conscripted in 1969-1970 and followed until 2017. Cox proportional hazard ratios were used to estimate the risk of depression according to alcohol, drug, inhalant, and cigarette consumption, and adjusted for body mass index, verbal comprehension test scores, handgrip strength, and the other main exposures investigated.

RESULTS

During an average follow-up period of 44 years, 4500 men were diagnosed with or treated for depression at a mean age of 54 years. A dose-dependent association was found in men who smoked cigarettes, with the highest risk for smoking >20 cigarettes per day, at time of conscription (aHR 1.86, 95 % CI 1.61-2.16, p < 0.001). Independent associations with an increased risk of depression were found for the use of drugs at least once (aHR 1.21, 95 % CI 1.10-1.32, p < 0.001) and >50 times (aHR 1.48, 95 % CI 1.23-1.77, p < 0.001) and the use of inhalants (aHR 1.16, 95 % CI 1.05-1.29). Excessive alcohol intake was not associated with the risk of depression.

CONCLUSION

The results suggest that people who reported to have used cigarettes, alcohol, or drugs at 18 years of age have a moderately increased risk of depression later in life.

Household food insecurity is associated with depressive symptoms in the Canadian adult population

BACKGROUND

It is essential to identify factors associated with depression as it is a highly prevalent and disabling mental disorder. The aim of this study was to examine the association between depressive symptoms and household food security status among the Canadian adult population.

METHODS

This is a cross-sectional study of the adult population in the five provinces and one territory (Northwest Territories) of Canada using data from the 2015-2016 Canadian Community Health Survey-Annual Component (n=19,118). Depressive symptoms were assessed using the 9-item Patient Health Questionnaire. Household food insecurity was measured using the Household Food Security Survey Module. A weighted logistic regression analysis with robust variance estimation technique was performed.

RESULTS

Approximately 22% of the Canadian adult population reported mild-to-severe depressive symptoms, and 8.3% were from households classified as food insecure. Household food insecurity remained a predictor of mild-to-severe depressive symptoms after adjustment for other known risk factors (OR_ajd: 2.87, 95% CI: 2.33-3.55, p<0.001). In the multivariable model, significant associations were also found with multimorbidity, lower household income, a history of illicit drug use, being a current smoker, being a widowed/divorced/separated, obesity, and being a non-drinker. Significant interactions also emerged between employment status and age (p=0.03), employment status and gender (p<0.001), and physical activity level and gender (p<0.001).

LIMITATIONS

The cross-sectional nature of the study does not allow inferring causality.

CONCLUSIONS

Household food insecurity is associated with depressive symptoms in Canadian adults. Additional longitudinal research is required to further elucidate the nature of this relationship.

The prevalence of depression symptoms after smoking cessation: a systematic review and meta-analysis

Objectives: Smoking cessation can have positive effects on people's health, especially mental health. This study aimed to address the prevalence of depression in the smoking cessation population. Methods: In the present meta-analysis study, PRISMA protocol was used. Two databases, PubMed and Scopus, were selected. Articles in these two databases in English were targeted and the search was limited to July 2020. First, the results related to the prevalence of depression were calculated. The results were pooled. Results: Forty-nine articles with different designs were eligible for meta-analysis. The prevalence of depression in the smoking cessation population was 18% and the confidence interval was 14-22%. The highest depression prevalence was in Asia and Europe, followed by America. The prevalence of major depression in the smoking cessation population was 15% and the prevalence of depressive symptoms was 17%. The smoking cessation population had a lower odds of depression than current smokers (OR= 0.63 CI = 0.54-0.75; I2 83.9%). There was little evidence for publication bias. Discussion: The status of depression in the smoking cessation population is different from that of nonsmokers and current smokers. Therefore, in terms of health policy and encouraging people to smoking cessation, the issue of its positive effects on mental health should be emphasized.

Smoking, obesity, and their co-occurrence in the U.S. military veterans: results from the national health and resilience in veterans study

BACKGROUND

Smoking and obesity are major public health concerns, though little is known about the mental and physical health burden of co-occurring obesity and smoking.

METHODS

Using a nationally representative sample of U.S. military veterans, we examined the prevalence of mental and physical co-morbidities, physical and mental functioning, and quality of life between obese only; smoking only; and obese smokers.

RESULTS

Among current smokers, 31.7% were obese; among obese veterans, 16.4% were current smokers; and in the total sample, 5.4% were obese and current smokers. Relative to the obese-only group, obese smokers were more likely to be younger, male, non-white, non-married, unemployed and VA-served, and have lower household incomes. These also reported higher levels of perceived stress and trauma and were more likely to endorsed current suicidal ideation and lifetime suicide attempts (odds ratio [OR]=2.0), medical (2.3<=OR<=3.9) and psychiatric (1.5<=OR<=2.9) comorbidities, and lower overall health status and quality of life. Compared to the smoking-only group, obese smokers were more likely to endorse current suicidal ideation (OR=2.0) and nicotine dependence (OR=1.5), and reported poorer physical health and overall quality of life. Analyses were adjusted for sociodemographic and military characteristics.

LIMITATIONS

The cross-sectional study design precludes causal inference.

CONCLUSIONS

These findings suggest that co-occurring obesity and smoking is associated with substantial mental and physical health burden in U.S. veterans. Collectively, they underscore the importance of multicomponent interventions targeting, obesity, smoking, and co-occurring issues, such as trauma and internalizing disorders, in this population.

Depression Outcomes in Smokers and Nonsmokers: Comparison of Collaborative Care Management Versus Usual Care

Background: Depression is common in the primary care setting and tobacco use is more prevalent among individuals with depression. Recent research has linked smoking to poorer outcomes of depression treatment. We hypothesized that in adult primary care patients with the diagnosis of depression, current smoking would have a negative impact on clinical outcomes, regardless of treatment type (usual primary care [UC] vs collaborative care management [CCM]). Methods: A retrospective chart review study of 5155 adult primary care patients with depression in a primary care practice in southeast Minnesota was completed. Variables obtained included age, gender, marital status, race, smoking status, initial Patient Health Questionnaire-9 (PHQ-9), and 6-month PHQ-9. Clinical remission (CR) was defined as 6-month PHQ-9 <5. Persistent depressive symptoms (PDS) were defined as PHQ-9 ≥10 at 6 months. Treatment in both CCM and UC were compared. Results: Using intention to treat analysis, depressed smokers treated with CCM were 4.60 times as likely (95% CI 3.24-6.52, P < .001) to reach CR and were significantly less likely to have PDS at 6 months (adjusted odds ratio [AOR] 0.19, 95% CI 0.14-0.25, P < .001) compared with smokers in UC. After a 6-month follow-up, depressed smokers treated with CCM were 1.75 times as likely (95% CI 1.18-2.59, P = .006) to reach CR and were significantly less likely to have PDS (AOR 0.45, 95% CI 0.31-0.64, P < .001) compared with smokers in UC. Conclusions: CCM significantly improved depression outcomes for smokers at 6 months compared with UC. However, in the UC group, smoking outcomes were not statistically different at 6 months for either remission or PDS. Also, nonsmokers in CCM had the best clinical outcomes at 6 months in both achieving clinical remission and reduction of PDS when compared with smokers in UC as the reference group.

An analysis of the relationship between chronic obstructive pulmonary disease, smoking and depression in an integrated healthcare system

OBJECTIVE

Chronic Obstructive Pulmonary Disease (COPD) and smoking are highly associated with depression and hypoxia. There is limited knowledge about whether hypoxic conditions interact to cause depression.

METHOD

A population-based cohort study was conducted using the Veterans Affairs (VA) Corporate Data Warehouse. Patients must have accessed any healthcare at a VA facility between 2004 and 2014 and had a negative depression screen (Patient Health Questionnaire-2 (PHQ-2) score ≤ 2). Patients with COPD or a positive depression screen (PHQ-2 score: 3+) during or prior to the year with a negative depression screen were excluded. Logistic regression with annual observations was used to evaluate depression incidence based on COPD and smoking status. Models were adjusted for demographics and other comorbid conditions. A probability scale was used to examine interactions between COPD and smoking.

RESULTS

A total of 3,284,496 patients were included. Patients with COPD and current smokers were at increased risk for developing depression. There were minimal interaction effects between COPD and smoking. The odds of developing depression in a year varied from 1.4% among never smokers without COPD to 2.9.% among current smokers with COPD.

CONCLUSION

Smoking and COPD are independent risk factors for depression and interact to cause depression. Further research is needed to confirm whether hypoxia contributes to this association.

Smoking in relation to anxiety and depression: Evidence from a large population survey: The HUNT study

Smoking is reported to be associated with depression and anxiety. The present study (a) examines these associations taking comorbidity into account, (b) investigates possible confounders, (c) examines how former smokers compared to current and never-smokers in terms of anxiety and depression, and if anxiety and depression decline by time since cessation. Participants (66%) aged 20–89 years in a population-based health survey (N = 60,814) were screened employing the HADS. (a) The association with smoking was strongest in comorbid anxiety depression, followed by anxiety, and only marginal in depression. Associations were stronger in females and younger participants. (b) Variables partly accounting for the association comprised somatic symptoms, socio-demographics, alcohol problems, and low physical activity. (c) Anxiety and depression were most common in current smokers, followed by quitters, and then never-smokers. No decline in anxiety or depression was found with time since cessation. Previous studies of associations between depression and smoking might have overestimated the association when ignoring comorbid anxiety.

The 2016 Tips From Former Smokers® Campaign: Associations With Quit Intentions and Quit Attempts Among Smokers With and Without Mental Health Conditions

INTRODUCTION

People living with mental health conditions (MH+) are more likely to smoke cigarettes than people without mental health conditions (MH-) and to experience tobacco-related disparities. The Tips From Former Smokers® (Tips®) campaign is a proven population-level strategy for motivating smokers to quit. In 2016, Tips included ads featuring Rebecca, a former smoker with depression. We evaluated self-reported frequency of exposure to the Rebecca and other Tips ads in association with quit intentions and quit attempts among MH+ and MH- smokers.

METHODS

Intentions to quit and past 6-month quit attempts lasting at least 24 hours were reported from a two-wave longitudinal online survey conducted before and after the 2016 Tips campaign with a nationally representative sample of US adult cigarette smokers with (MH+, N = 777) and without (MH-, N = 1806) lifetime mental health conditions.

RESULTS

In 2016, among MH+ respondents, greater exposure to the Rebecca ads was significantly associated with increased odds of intending to quit in the next 30 days (adjusted odds ratio [AOR] = 1.40, p < .05) and with reporting a quit attempt in the past 6 months (AOR = 1.25, p < .05). Among MH- respondents, greater exposure to the other Tips ads was associated with increased odds of making a quit attempt (AOR = 1.19, p < .05).

CONCLUSIONS

Exposure to the Rebecca ads was associated with a greater likelihood of intentions to quit and quit attempts among MH+ smokers; whereas, exposure to the other (non-mental-health-related) Tips ads was associated with a greater likelihood of quit attempts among MH- smokers.

IMPLICATIONS

National media campaigns are an important population-level strategy for reaching specific population groups who are experiencing tobacco-related disparities. The findings support the inclusion of ads featuring people living with mental health conditions in national tobacco education media campaigns, such as Tips.

Tobacco smoking and health-related quality of life among university students: Mediating effect of depression

The aim of this study was to assess the association between cigarette smoking and health-related quality of life (HRQoL) among students in two different universities, and the potential mediating effect of depression. Participants were students who came for mandatory check-ups at Student Health Care Centers in two Universities in Serbia, differing by socio-politically and economically environments. Students completed socio-demographic questionnaire, Beck Depression Inventory (BDI) and the SF-36 questionnaire for assessment of HRQoL. In both populations, after adjustment for socio-demographic, behavioral and health factors, smoking was associated with poorer Mental Composite Score (MCS) and Physical Composite Score (PCS) (Belgrade 1,624 students: MCS β = 3.38, 95% confidence interval [CI] 1.31, 5.44, PCS β = 1.01, 95% CI -0.50, 2.52; Kosovska Mitrovica 514 students: MCS β = 5.06, 95% CI 1.74, 8.37, PCS β = 3.29, 95% CI 0.75, 5.83). After additional adjustment for BDI score, the observed associations were lost (Belgrade: MCS β = 1.12, 95% CI -0.57, 2.80, PCS β = -0.40, 95% CI -1.71, 0.92; Kosovska Mitrovica: MCS β = 0.77, 95% CI -2.06, 3.60, PCS β = 0.56, 95% CI -1.75, 2.87). Higher BDI score was associated with poorer PCS and MCS across all quintiles. The association of smoking with impairment of HRQoL among university students in two different settings was mediated by higher levels of depressive symptoms. These findings highlight the need for further research on the interaction between smoking, mental health and quality of life, with implications for prevention, diagnosis and treatment.

The association between smokers' self-reported health problems and quitting: Findings from the ITC Four Country Smoking and Vaping Wave 1 Survey

INTRODUCTION

This study aimed to systematically examine whether having health conditions or concerns related to smoking are associated with quitting activities among smokers across four western countries.

METHODS

Data came from the 2016 International Tobacco Control Four Country Smoking and Vaping Survey conducted in Australia, Canada, England and US. We asked smokers and recent quitters (n=11838) whether they had a medical diagnosis for heart disease, cancer, chronic lung disease, depression, anxiety, alcohol problems, diabetes, severe obesity and chronic pain (nine conditions), and whether they believed smoking had harmed/would harm their health, along with questions on quitting activities.

RESULTS

General concerns about smoking harming health and all specific health conditions, except for alcohol problems, were positively associated with quit attempts, but the relationships between health conditions and other quitting measures (being abstinent, planning to quit, use of quitting medications) were less consistent. Positive associations between conditions and use of quitting medications were only significant for depression, anxiety and chronic pain (adjusted odds ratios ranged from 1.4 to 1.5). There was a general tendency to report lower self-efficacy for quitting among those with the health conditions.

CONCLUSIONS

While those with smoking related conditions are somewhat more aware of the links to their smoking, and are largely taking more action, the extent of this is lower than one might reasonably expect. Enhanced awareness campaigns are needed and health professionals need to do more to use health conditions to motivate quit attempts and to ensure they are made with the most effective forms of help.

Chronic medical conditions and metabolic syndrome as risk factors for incidence of major depressive disorder: A longitudinal study based on 4.7 million adults in South Korea

BACKGROUND

The assessment of comorbid physical illness and metabolic or cardiovascular risk factors as potential risk factors for onset of major depressive disorder (MDD) is crucial. We aimed to investigate potential risk factors for the development of MDD among individuals with chronic medical conditions and metabolic and behavioral risk factors using a large population-based retrospective cohort from the data of the National Health Insurance Service (NHIS) in South Korea.

METHODS

The population-based retrospective cohort included data from 2,370,815 adults (age ≥20 years) diagnosed with MDD between January 1, 2010, and December 31, 2016 and age- and gender-matched 2,370,815 healthy controls obtained from the claims data of the NHIS. The data of the regular health checkup provided by the NHIS were also included (age ≥40 years). Logistic regression analyses were performed to investigate the potential risk factors for the incidence of MDD.

RESULTS

Chronic medical conditions such as Parkinson's disease (odds ratio [OR] = 7.808, 95% confidence interval [CI] = 7.517-8.11), epilepsy (OR = 6.119, 95% CI = 6.019-6.22), multiple sclerosis (OR = 5.532, 95% CI = 4.976-6.151), Huntington's disease (OR = 5.387, 95% CI = 3.258-8.909), migraine (OR = 4.374, 95% CI = 4.341-4.408), stroke (OR = 4.074, 95% CI = 4.032-4.117), and cancer; metabolic syndrome (OR = 1.049, 95% CI = 1.041-1.057) and several of its components including central obesity, elevated fasting blood glucose and triglyceride levels, and reduced high-density lipoprotein level; and cigarette smoking, frequent alcohol consumption, and low physical activity are potential risk factors for the development of MDD.

CONCLUSION

Our results may support previous evidence on the association between physical conditions and the incidence of MDD as reported by individual population-based studies with modest sample sizes.

How Are Self-Reported Physical and Mental Health Conditions Related to Vaping Activities among Smokers and Quitters: Findings from the ITC Four Country Smoking and Vaping Wave 1 Survey

This study examines whether having health conditions or concerns related to smoking is associated with use of vaping products. Data came from the 2016 wave of the International Tobacco Control Four Country Smoking and Vaping Survey. Smokers and recent quitters (n = 11,344) were asked whether they had a medical diagnosis for nine health conditions (i.e., depression, anxiety, alcohol problems, severe obesity, chronic pain, diabetes, heart disease, cancer, and chronic lung disease) and concerns about past and future health effects of smoking, and their vaping activities. Respondents with depression and alcohol problems were more likely to be current vapers both daily (Adjusted odds ratio, AOR = 1.42, 95% confidence interval, CI 1.09–1.85, p < 0.05 for depression; and AOR = 1.52, 95% CI 1.02–2.27, p < 0.05 for alcohol) and monthly (AOR = 1.32, 95% CI 1.11–1.57 for depression, p < 0.01; and AOR = 1.43, 95% CI 1.06–1.90, p < 0.05 for alcohol). Vaping was more likely at monthly level for those with severe obesity (AOR = 1.77, 95% CI 1.29–2.43, p < 0.001), cancer (AOR = 5.19, 95% CI 2.20–12.24, p < 0.001), and concerns about future effects of smoking (AOR = 1.83, 95% CI 1.47–2.28, p < 0.001). Positive associations were also found between chronic pain and concerns about past health effects of smoking and daily vaping. Only having heart disease was, in this case negatively, associated with use of vaping products on their last quit attempt (AOR = 0.72, 95% CI 0.43–0.91, p < 0.05). Self-reported health condition or reduced health associated with smoking is not systematically leading to increased vaping or increased likelihood of using vaping as a quitting strategy.

Major depressive episodes and mortality in the Canadian household population

OBJECTIVE

To explore the association between major depressive episodes (MDE) and subsequent mortality in a representative sample of the general household population, with adjustment for other determinants of mortality.

METHOD

The analysis used four datasets from the Canadian Community Health Survey (CCHS); the CCHS 1.1 (conducted in 2000 and 2001), the CCHS 1.2 (conducted in 2002), the CCHS 2.1 (conducted in 2003 and 2004) and the CCHS 3.1 (conducted in 2005 and 2006). Each survey included an assessment of past-year major depressive episodes (MDEs) and was linked to mortality data from the Canadian Mortality Database for January 1, 2000 to December 31, 2011. The hazard ratio (HR) for all-cause mortality was estimated in each survey sample. Random effects, individual-level meta-analysis was used to pool estimates from the four survey data sets. Estimates were adjusted for other determinants of mortality prior to pooling in order to help quantify the independent contribution of MDE to all-cause mortality.

RESULTS

The unadjusted HR was 0.77 (95% CI 0.63-0.95). A naïve interpretation of this HR suggests a protective effect of MDE, but the estimate was found to be strongly confounded by age (age adjusted HR for MDE: 1.61, 95% CI 1. 34-1.93) and by sex (sex adjusted HR for MDE: 1.15, 95% CI 0.75-1.77). The age and sex adjusted HR was: 1.70 (95% CI 1.45-2.00). No evidence of effect modification by any determinant of mortality was found, including sex. After adjustment for a set of mortality risk factors, the pooled HR was weakened, but remained statistically significant, HR = 1.29 (I-squared = < 1%, tau-squared < 0.001, 95% CI 1.10-1.51). Smoking was the strongest single confounding variable.

CONCLUSIONS

MDE is associated with elevated mortality. The elevated risk is partially attributable to psychosocial, behavioral and health-related determinants. Since MDE itself may have caused changes to these variables, these estimates cannot fully quantify the independent contribution of MDE to mortality. However, these results suggest that clinical and public health efforts to counteract the effect of MDE on mortality may benefit from attention to a broad set of mortality risk factors e.g. smoking, physical activity, management of medical conditions.

Marijuana Use and Depressive Symptoms; Gender Differences in African American Adolescents

Introduction: This study aimed to examine gender differences in the bidirectional associations between marijuana use and depressive symptoms among African American adolescents. The study also tested gender differences in the effects of socioeconomic status, maternal support, and friends' drug use on adolescents' depressive symptoms and marijuana use. Methods: This is a secondary analysis of the Flint Adolescent Study (FAS). Six hundred and eighty one African American adolescents (335 males and 346 females) were followed for 3 years, from 1995 (mean age 16) to 1997 (mean age 19). Depressive symptoms (Brief Symptom Inventory) and marijuana use were measured annually during the follow up. We used multi-group latent growth curve modeling to explore the reciprocal associations between depressive symptoms and marijuana use over time based on gender. Results: Baseline marijuana use was predictive of an increase in depressive symptoms over time among male but not female African American adolescents. Baseline depressive symptoms were not predictive of an increase in marijuana use among male or female adolescents. Conclusion: Study findings suggest that male African American adolescents who use marijuana are at an increased risk of subsequent depressive symptoms. Interventions that combine screening and treatment for marijuana use and depression may be indicated for African American male adolescents.

Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression

Smoking and major depression frequently co-occur, at least in part due to shared genetic risk. However, the nature of the shared genetic basis is poorly understood. To detect genetic risk variants for comorbid nicotine dependence (ND) and major depression (MD), we conducted genome-wide association study (GWAS) in two samples of African-American participants (Yale-Penn 1 and 2) using linear mixed model, followed by meta-analysis. 3724 nicotine-exposed subjects were analyzed: 2596 from Yale-Penn-1 and 1128 from Yale-Penn-2. Continuous measures (Fagerström Test for Nicotine Dependence (FTND) scores and DSM-IV MD criteria) rather than disorder status were used to maximize the power of the GWAS. Genotypes were ascertained using the Illumina HumanOmni1-Quad array (Yale-Penn-1 sample) or the Illumina HumanCore Exome array (Yale-Penn-2 sample), followed by imputation based on the 1000 Genomes reference panel. An intronic variant at the GRIA4 locus, rs68081839, was significantly associated with ND-MD comorbidity (β = 0.69 [95% CI, 0.43-0.89], P = 1.53 × 10-8). GRIA4 encodes an AMPA-sensitive glutamate receptor that mediates fast excitatory synaptic transmission and neuroplasticity. Conditional analyses revealed that the association was explained jointly by both traits. Enrichment analysis showed that the top risk genes and genes co-expressed with GRIA4 are enriched in cell adhesion, calcium ion binding, and synapses. They also have enriched expression in the brain and they have been implicated in the risk for other neuropsychiatric disorders. Further research is needed to determine the replicability of these findings and to identify the biological mechanisms through which genetic risk for each condition is conveyed.

The Temporal Relationship between Selected Mental Disorders and Substance-Related Disorders: A Nationwide Population-Based Cohort Study

Introduction. Previous studies have examined the association between specific mental disorders, particularly mood and anxiety disorders, and substance-related disorders; but the temporal link between them remains unclear. This study aimed to examine whether individuals with specific mental disorders, including affective psychoses, neurotic disorders, schizophrenia, personality disorders, and adjustment reaction, have higher risks for subsequently developing substance-related disorders compared to those without. Methods. A large-scale study with longitudinal data was conducted using the Taiwan National Health Insurance Research Database (NHIRD) consisting of 2,000,118 patients' medical records from 2000 to 2009. A total of 124,423 people diagnosed with selected mental disorders and the same number of people without the diagnoses of the selected disorders were identified between January 1, 2001, and December 31, 2006, and followed up for the diagnoses of substance-related disorders till the end of 2009. We estimated the risk for subsequently developing substance-related disorders among patients with the selected mental disorders compared to those without by using Cox proportional hazard models. The cumulative incidence of substance-related disorders was calculated using the Kaplan-Meier method. Results. The risk for developing substance-related disorders in patients with selected mental disorders is about 5 times (HR=5.09, 95% CI: 4.74-5.48) higher than those without after adjusting for potential confounding variables. From the multivariate analyses of subsamples stratified by age, sex, and urban and income levels, we found all adjusted hazard ratios were significantly higher than 1.0, ranging from 2.12 (95% CI: 1.72-2.62) to 14.55 (95% CI: 7.89-26.83). For children and adolescents aged 10-19 years, those with specific mental disorders had 14.55-fold higher risk for developing substance-related disorders in later life compared to their counterparts. Furthermore, patients with personality disorders had the highest risk (HR=25.05). Conclusions. The earlier onset of the selected mental disorders is a potential risk for developing substance-related disorders in later life, particularly for personality disorders. Health professionals should pay more attention to this at-risk population, especially to adolescents with mental disorders.

Nicotinic receptors mediate stress-nicotine detrimental interplay via dopamine cells' activity

Epidemiological studies report strong association between mood disorders and tobacco addiction. This high comorbidity requires adequate treatment but the underlying mechanisms are unknown. We demonstrate that nicotine exposure, independent of drug withdrawal effects, increases stress sensitivity, a major risk factor in mood disorders. Nicotine and stress concur to induce long-lasting cellular adaptations within the dopamine (DA) system. This interplay is underpinned by marked remodeling of nicotinic systems, causing increased ventral tegmental area (VTA) DA neurons' activity and stress-related behaviors, such as social aversion. Blocking β2 or α7 nicotinic acetylcholine receptors (nAChRs) prevents, respectively, the development and the expression of social stress-induced neuroadaptations; conversely, facilitating α7 nAChRs activation specifically in the VTA promotes stress-induced cellular and behavioral maladaptations. Our work unravels a complex nicotine-stress bidirectional interplay and identifies α7 nAChRs as a promising therapeutic target for stress-related psychiatric disorders.

Do health-related factors predict major depression? A longitudinal epidemiologic study

Major depressive disorder (MDD) is a leading cause of global disease burden. Hence, examining the role of risk and protective factors for MDD is an important target in psychological research. Various studies showed that obesity, smoking, and alcohol consumption are related to depressive symptoms. In contrast, physical activity has been found to be a protective factor. The present population-based study tested whether these health-related factors are prospectively associated with incidence of MDD. Data were taken from the Dresden Predictor Study, which was designed to investigate risk and protective factors of mental health in young women. It included two assessments approximately 17 months apart. Results of single logistic regression analyses showed that being overweight, being a smoker, and being in a high-risk drinking group at baseline were predictive of developing MDD at follow-up. Engaging in regular physical activity and having good physical health were found to be protective factors of MDD. However, being in a medium-risk drinking group was not predictive of incidence of MDD, and irregular physical activity was not a protective factor. This is the first prospective, longitudinal study to show that obesity, smoking, and high-risk drinking are predictive of new onsets of MDD and that physical health is a protective factor. These data provide promising avenues for future research.

Smoking by people with mental illness and benefits of smoke-free mental health services

Smoking is the largest single cause of preventable illness in the UK. Those with mental health problems smoke significantly more and are therefore at greater risk. The new Health Act (2006) will require mental health facilities in England to be completely smoke-free by 1st July 2008. This article reviews the current literature regarding how smoking affects both the physical and mental well-being of people with mental health problems. It also considers the effects of smoke-free policy in mental health settings.

Innovative approaches to support smoking cessation for individuals with mental illness and co-occurring substance use disorders

INTRODUCTION

Tobacco remains the leading preventable cause of death in the US, accounting for over 520,000 deaths annually. While the smoking prevalence has declined over the past 50 years, those with mental illness and addictive disorders continue to smoke at high levels and with significant tobacco-related health problems. Areas covered: This review highlights the epidemiology, contributing factors, and evidence-base for intervening upon tobacco use in those with mental illness and addictive disorders. Historically underprioritized, a growing body of literature supports treating tobacco within mental health and addiction treatment settings. Critically, treating tobacco use appears to support, and not harm, mental health recovery and sobriety. This review also summarizes novel, emerging approaches to mitigate the harms of cigarette smoking. Expert commentary: People with mental illness and addictive disorders have a high prevalence of tobacco use with serious health harms. Treating tobacco use is essential. Evidence-based strategies include individual treatments that are stage-matched to readiness to quit and combine cessation medications with behavioral therapies, supported by smoke-free policies in treatment settings and residential environments. Emerging approaches, with a focus on harm reduction, are electronic nicotine delivery systems and tobacco regulatory efforts to reduce the nicotine content in cigarettes, thereby reducing their addiction potential.

Six-Month Outcomes for Collaborative Care Management of Depression Among Smoking and Nonsmoking Patients

Background:

Collaborative care management (CCM) is an evidence-based model that contributes to better outcomes for depression treatment in the primary care setting. Tobacco use increases overall economic costs, morbidity, and mortality and has been shown to impact behavioral health outcomes. Our study aims to observe clinical outcomes for depression treatment for patients with comorbid tobacco use and depression within the CCM model.

Methods:

A retrospective chart review study of 2826 adult patients with depression enrolled in CCM was performed to determine the association between regular tobacco use and depression outcomes. Baseline intake data consisting of clinical and demographic variables along with 6-month follow-up of Patient Health Questionnaire-9 (PHQ-9) scores for smokers (n = 727, 25.7%) and nonsmokers (n = 2099, 74.3%) were obtained. Depression remission was defined as a PHQ-9 score <5 and persistent depressive symptoms (PDS) as a PHQ-9 score ≥10 at 6 months.

Results:

Using an intention-to-treat analysis, the multivariate modeling demonstrated that smokers, at 6 months, had an increased adjusted odds ratio (AOR) for PDS: 1.624 (95% CI: 1.353-1.949). Furthermore, smokers had a lower AOR of depression remission: 0.603 (95% CI: 0.492-0.739). Patient adherence to treatment was also lower in smokers with an AOR of 0.666 (95% CI: 0.553-0.802).

Conclusions:

Smokers enrolled in CCM were associated with reduced treatment adherence and worse outcomes for depression treatment at 6 months compared to nonsmokers, even when baseline clinical and demographic variables were controlled. Thus, new tailored practices may be warranted within the CCM model to treat comorbid depression and tobacco use disorders.

Does the number of previous mood episodes moderate the relationship between alcohol use, smoking and mood in bipolar outpatients?

BACKGROUND

Evidence suggests that alcohol use and smoking are negatively associated with mood in bipolar disorders (BD). It is unknown if this relationship is moderated by the number of previous mood episodes. Therefore, this paper aims to examine whether the number of previous mood episodes moderates the relationship between alcohol use and smoking, and mood.

METHOD

This study assessed the outcomes of 108 outpatients with BD I and II in a prospective observational cohort study. For 1 year, subjects daily registered mood symptoms and substance use with the prospective Life Chart Method. The relationship between the average daily consumption of alcohol and tobacco units in the whole year and mood were examined by multiple linear regression analyses. Number of previous mood episodes, grouped into its quartiles, was added as effect moderator. Outcome was the number of depressive, hypomanic and manic days in that year.

RESULTS

The number of depressive days in a year increased by 4% (adjusted β per unit tobacco = 1.040; 95% CI 1.003-1.079; p = 0.033) per unit increase in average daily tobacco consumption in that same year. Interaction analyses showed that in those subjects with less than 7 previous mood episodes, the number of manic and hypomanic days increased by 100.3% per unit increase in alcohol consumption (adjusted β per unit alcohol = 2.003; 95% CI 1.225-3.274; p = 0.006). In those with 7 to 13 previous mood episodes, the number of manic and hypomanic days decreased by 28.7% per unit increase in alcohol consumption (adjusted β per unit alcohol = 0.713; 95% CI 0.539-0.944; p = 0.019); and in subjects with 14 to 44 previous mood episodes, the number of manic and hypomanic days decreased by 7.2% per unit increase in tobacco consumption (adjusted β per unit tobacco = 0.928; 95% CI 0.871-0.989; p = 0.021).

CONCLUSIONS

The number of previous mood episodes moderates the relationship between alcohol use and smoking and mood; and smoking is adversely associated with the number of depressive days.

Temporal sequencing of nicotine dependence and major depressive disorder: A U.S. national study

Major Depressive Disorder (MDD) and Nicotine dependence (ND) often co-occur. However, little attention has been given to the temporal order between the two disorders. We compared the sociodemographic and clinical characteristics of individuals whose onset of ND preceded (ND-prior) or followed the onset of MDD (MDD-prior). Binary logistic regression models were computed to compare ND-prior (n=546) and MDD-prior (n=801) individuals from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n=43,093). We found that MDD-prior were more likely to have a history of suicide attempts and a family history of both depression and antisocial behavior, to have had psychiatric hospitalization, and to have an earlier age of onset of the first depressive episode; but a later age of onset for both daily smoking and ND. On average, MDD-prior individuals showed a significantly longer transition time from daily smoking to ND (15.6±0.6 vs. 6.9±0.4 years, P<0.001). In contrast, ND-prior subjects had a significantly greater proportion of withdrawal symptoms, and of lifetime alcohol use or alcohol use disorder. We conclude that the phenomenology and course of ND and MDD vary significantly, depending on which disorder had earlier onset.

The role of unhealthy lifestyles in the incidence and persistence of depression: a longitudinal general population study in four emerging countries

Background

Unhealthy lifestyles and depression are highly interrelated: depression might elicit and exacerbate unhealthy lifestyles and people with unhealthy lifestyles are more likely to become depressed over time. However, few longitudinal evidence of these relationships has been collected in emerging countries. The present study aims i) to analyse whether people with unhealthy lifestyles are more likely to develop depression, and ii) to examine whether depressed people with unhealthy lifestyles are more likely to remain depressed. A total of 7908 participants from Ghana, India, Mexico and Russia were firstly evaluated in the World Health Organization’s Study on Global AGEing and Adult Health (SAGE) Wave 0 (2002–2004) and re-evaluated in 2007–2010 (Wave 1). Data on tobacco use, alcohol drinking and physical activity, were collected. Logistic regressions models were employed to assess whether baseline unhealthy lifestyles were related to depression in Wave 1, among people without 12-month depression in Wave 0 and any previous lifetime diagnosis of depression, and to 12-month depression at both study waves (persistent depression).

Results

Baseline daily and non-daily smoking was associated with depression in Wave 1. Low physical activity and heavy alcohol drinking were associated with persistent depression.

Conclusions

Unhealthy lifestyles and depression are also positively related in emerging countries. Smoking on a daily and non-daily basis was longitudinally related to depression. Depressed people with low physical activity and with heavy drinking patterns were more likely to become depressed over time. Several interpretations of these results are given. Further studies should check whether a reduction of these unhealthy lifestyles leads to lower depression rates and/or to a better clinical prognosis of depressed people.

The Association of Cigarette Smoking With Depression and Anxiety: A Systematic Review

BACKGROUND

Many studies report a positive association between smoking and mental illness. However, the literature remains mixed regarding the direction of this association. We therefore conducted a systematic review evaluating the association of smoking and depression and/or anxiety in longitudinal studies.

METHODS

Studies were identified by searching PubMed, Scopus, and Web of Science and were included if they: (1) used human participants, (2) were longitudinal, (3) reported primary data, (4) had smoking as an exposure and depression and/or anxiety as an outcome, or (5) had depression and/or anxiety as the exposure and smoking as an outcome.

RESULTS

Outcomes from 148 studies were categorized into: smoking onset, smoking status, smoking heaviness, tobacco dependence, and smoking trajectory. The results for each category varied substantially, with evidence for positive associations in both directions (smoking to later mental health and mental health to later smoking) as well as null findings. Overall, nearly half the studies reported that baseline depression/anxiety was associated with some type of later smoking behavior, while over a third found evidence that a smoking exposure was associated with later depression/anxiety. However, there were few studies directly supporting a bidirectional model of smoking and anxiety, and very few studies reporting null results.

CONCLUSIONS

The literature on the prospective association between smoking and depression and anxiety is inconsistent in terms of the direction of association most strongly supported. This suggests the need for future studies that employ different methodologies, such as Mendelian randomization (MR), which will allow us to draw stronger causal inferences.

IMPLICATIONS

We systematically reviewed longitudinal studies on the association of different aspects of smoking behavior with depression and anxiety. The results varied considerably, with evidence for smoking both associated with subsequent depression and anxiety, and vice versa. Few studies supported a bidirectional relationship, or reported null results, and no clear patterns by gender, ethnicity, clinical status, length to follow-up, or diagnostic test. Suggesting that despite advantages of longitudinal studies, they cannot alone provide strong evidence of causality. Therefore, future studies investigating this association should employ different methods allowing for stronger causal inferences to be made, such as MR.

Longitudinal Mediation Modeling of Unhealthy Behaviors as Mediators between Workplace Demands/Support and Depressive Symptoms

Lifestyle has been regarded as a key pathway through which adverse psychosocial working characteristics can give rise to long-term health problems. The purpose of this study was to estimate the indirect/mediated effect of health behaviors in the longitudinal work characteristics-depression relationship. The analyses were based on the Swedish Longitudinal Occupational Survey of Health, including 3706 working participants with repeat survey measures on four occasions (2008, 2010, 2012 and 2014). Psychosocial work characteristics including demands and social support were analyzed in relation to depressive symptoms. Autoregressive longitudinal mediation models using structural equation modeling were used to estimate the intermediate effects of unhealthy behaviors including current smoking, excessive alcohol consumption, unhealthy diet and physical inactivity. Both workplace demands and social support were related to later depressive symptoms. In bivariate models we found no significant paths from workplace demands to health behaviors, but two out of three significant time-specific paths from workplace support to excessive drinking and from excessive drinking to depressive symptoms. Social support was also associated with subsequent unhealthy diet, and one path from unhealthy diet to depressive symptoms was found. However, despite indications of certain longitudinal relationships between psychosocial working conditions and health behaviors as well as between health behaviors and depressive symptoms, no significant intermediate effects were found (p>0.05). We conclude that changes in unhealthy behaviors over a period of two years are unlikely to act as strong intermediaries in the longitudinal relationship between job demands and depressive symptoms and between social support and depressive symptoms.

Smoking, Mental Illness, and Public Health

Tobacco use remains the leading preventable cause of death worldwide. In particular, people with mental illness are disproportionately affected with high smoking prevalence; they account for more than 200,000 of the 520,000 tobacco-attributable deaths in the United States annually and die on average 25 years prematurely. Our review aims to provide an update on smoking in the mentally ill. We review the determinants of tobacco use among smokers with mental illness, presented with regard to the public health HAVE framework of “the host” (e.g., tobacco user characteristics), the “agent” (e.g., nicotine product characteristics), the “vector” (e.g., tobacco industry), and the “environment” (e.g., smoking policies). Furthermore, we identify the significant health harms incurred and opportunities for prevention and intervention within a health care systems and larger health policy perspective. A comprehensive effort is warranted to achieve equity toward the 2025 Healthy People goal of reducing US adult tobacco use to 12%, with attention to all subgroups, including smokers with mental illness.