Validation of self reported smoking by serum cotinine measurement in a community-based study

Nature contact and health risk Behaviours: Results from an 18 country study

Emerging evidence suggests that residential greenspace is associated with a lower prevalence of health risk behaviours, but it remains unclear whether these effects are generalizable across countries or different types of nature contact. Using representative cross-sectional samples from 18 countries/regions, we examined the associations between two types of nature contact (greenspace, nature visits), current smoking and everyday drinking. After controlling for a range of covariates, greenspace was inversely associated with current smoking and everyday drinking. Visiting natural spaces at least once a week was linked to a lower prevalence of current smoking, but unrelated to everyday drinking. Increasing residential greenspace could be a promising strategy for reducing multiple health risk behaviours, whilst visit-based interventions may be a more appropriate target for smoking cessation.

A cross-national analysis of demographic variation in daily smoking across 22 countries

Cigarette use, a leading cause of preventable disease and millions of deaths worldwide each year, is not often studied separately from other tobacco use, and global data and previous studies on cigarette smoking are based mostly on its prevalence rather than quantity. To address these oversights, we analyze the first wave of data from Global Flourishing Study, a study of over 200,000 adults nationally representative of 22 countries. We measured cigarette smoking by daily consumption per capita (mean) and per individual who smoked (intensity) as well as prevalence. The mean of daily smoking was positively correlated with the prevalence, whereas the intensity was not significantly related to the prevalence. Similarly, we found that random effects meta-analysis results of country-specific means of daily smoking in each category of demographic variables (age, gender, marital status, employment, religious service attendance, education, and immigration status) were more consistent with the results of prevalence than was the case with intensity, though there was variation across countries. Overall findings indicate the importance of studying the intensity as well as prevalence of smoking, as they are distinct and thus both required in order to assess tobacco-associated health risks and establish informed tobacco control policies.

Nicotine dependence and incident psychiatric disorders: prospective evidence from US national study

We examined the prospective associations between nicotine dependence and the likelihood of psychiatric and substance use disorders in the general adult population. Participants came from a nationally representative sample of US adults aged 18 years or older, who were interviewed 3 years apart in the National Epidemiologic Survey on Alcohol and Related Conditions (Wave 1, 2001-2002; Wave 2, 2004-2005). The primary analyses were limited to 32,671 respondents (13,751 male (47.9% weighted); mean age of 45 years (SD = 0.18)) who were interviewed in both waves. We used multiple regression and propensity score matching (PSM) to estimate the strength of independent associations between nicotine dependence related to the use of tobacco products at Wave 1 and incident psychiatric disorders at Wave 2. Psychiatric disorders were measured with a structured interview (Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV). All analyses adjusted for multiple potential confounders, including childhood (family history of substance use disorders, parental loss, vulnerable family environment), early-adolescence (self-esteem, social deviance, conduct disorder), late-adolescence (education, personality and psychiatric disorders), adulthood (divorce, stressful life events, social deviance, quality of life, history of alcohol or other substance use disorder), and sociodemographic factors. Multiple regression analysis and PSM converged in indicating that nicotine dependence was associated with significantly increased incidence of any psychiatric disorder (OR = 1.39(95%CI:1.20;1.60)), including substance use disorders (OR = 1.91(95%CI:1.47;2.47)), and anxiety disorders (OR = 1.31(95%CI:1.06;1.62)). Population Attributable Risk Proportions were substantial, ranging from 12.5%(95%CI:8.10;17.0) for any psychiatric disorder to 33.3%(95%CI:18.7;48.0) for any other drug use disorder. Supplementary analyses also indicated significant associations between nicotine dependence and persistence of psychiatric and substance use disorders among patients having a disorder at Wave 1. In the general adult population, nicotine dependence is associated with an increased likelihood for several psychiatric and substance use disorders. Given its high prevalence, these findings have important public health implications.

Socioeconomic Status, Smoking, and Lung Cancer: Mediation and Bias Analysis in the SYNERGY Study

BACKGROUND

Increased lung cancer risks for low socioeconomic status (SES) groups are only partially attributable to smoking habits. Little effort has been made to investigate the persistent risks related to low SES by quantification of potential biases.

METHODS

Based on 12 case-control studies, including 18 centers of the international SYNERGY project (16,550 cases, 20,147 controls), we estimated controlled direct effects (CDE) of SES on lung cancer via multiple logistic regression, adjusted for age, study center, and smoking habits and stratified by sex. We conducted mediation analysis by inverse odds ratio weighting to estimate natural direct effects and natural indirect effects via smoking habits. We considered misclassification of smoking status, selection bias, and unmeasured mediator-outcome confounding by genetic risk, both separately and by multiple quantitative bias analyses, using bootstrap to create 95% simulation intervals (SI).

RESULTS

Mediation analysis of lung cancer risks for SES estimated mean proportions of 43% in men and 33% in women attributable to smoking. Bias analyses decreased the direct effects of SES on lung cancer, with selection bias showing the strongest reduction in lung cancer risk in the multiple bias analysis. Lung cancer risks remained increased for lower SES groups, with higher risks in men (fourth vs. first [highest] SES quartile: CDE, 1.50 [SI, 1.32, 1.69]) than women (CDE: 1.20 [SI: 1.01, 1.45]). Natural direct effects were similar to CDE, particularly in men.

CONCLUSIONS

Bias adjustment lowered direct lung cancer risk estimates of lower SES groups. However, risks for low SES remained elevated, likely attributable to occupational hazards or other environmental exposures.

Fine-mapping the CYP2A6 regional association with nicotine metabolism among African American smokers

The nicotine metabolite ratio (NMR; 3'hydroxycotinine/cotinine) is a stable biomarker for CYP2A6 enzyme activity and nicotine clearance, with demonstrated clinical utility in personalizing smoking cessation treatment. Common genetic variation in the CYP2A6 region is strongly associated with NMR in smokers. Here, we investigated this regional association in more detail. We evaluated the association of CYP2A6 single-nucleotide polymorphisms (SNPs) and * alleles with NMR among African American smokers (N = 953) from two clinical trials of smoking cessation. Stepwise conditional analysis and Bayesian fine-mapping were undertaken. Putative causal variants were incorporated into an existing African ancestry-specific genetic risk score (GRS) for NMR, and the performance of the updated GRS was evaluated in both African American (n = 953) and European ancestry smokers (n = 933) from these clinical trials. Five independent associations with NMR in the CYP2A6 region were identified using stepwise conditional analysis, including the deletion variant CYP2A6*4 (beta = -0.90, p = 1.55 × 10-11). Six putative causal variants were identified using Bayesian fine-mapping (posterior probability, PP = 0.67), with the top causal configuration including CYP2A6*4, rs116670633, CYP2A6*9, rs28399451, rs8192720, and rs10853742 (PP = 0.09). Incorporating these putative causal variants into an existing ancestry-specific GRS resulted in comparable prediction of NMR within African American smokers, and improved trans-ancestry portability of the GRS to European smokers. Our findings suggest that both * alleles and SNPs underlie the association of the CYP2A6 region with NMR among African American smokers, identify a shortlist of variants that may causally influence nicotine clearance, and suggest that portability of GRSs across populations can be improved through inclusion of putative causal variants.

Associations between neonicotinoids and inflammation in US adults using hematological indices: NHANES 2015-2016

Background

Toxicological studies suggest neonicotinoids increase oxidative stress and inflammation, but few epidemiological studies have explored these effects.

Methods

National Health and Nutrition Examination Survey (NHANES) 2015-2016 data were used to estimate associations between neonicotinoid exposure and inflammatory markers, including the C-reactive protein-to-lymphocyte count ratio (CLR), monocyte-to-high-density lipoprotein ratio (MHR), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) using linear and multinomial logistic regression models. Sex was evaluated as a potential modifier.

Results

Detection of any parent neonicotinoid (β = -0.62, 95% confidence interval [CI] = -0.98, -0.26) and imidacloprid (β = -0.48, 95% CI = -0.87, -0.10) was associated with decreased CLR. Clothianidin was linked to reduced MLR (β = -0.04, 95% CI = -0.07, -0.02), but increased lymphocyte-to-monocyte ratio (β = 0.52, 95% CI = 0.27, 0.77). Higher dNLR (β = 0.85; 95% CI = 0.26, 1.43) was noted with detection of any neonicotinoid metabolite. Moderately high PLR was observed with detection of any neonicotinoid metabolite (relative risk ratio [RRR] = 1.63, 95% CI = 1.27, 2.09) or 5-hydroxy-imidacloprid (RRR = 2.19, 95% CI = 1.40, 3.41). Sex-modified analyses showed positive associations in males and inverse associations in females for MHR (P int = 0.099, clothianidin), PLR (P int = 0.026, clothianidin), and SII (P int = 0.056, any parent neonicotinoid; P int = 0.002, clothianidin), while the opposite pattern was noted with CLR (P int = 0.073, any parent neonicotinoid) and NLR (P int = 0.084, clothianidin).

Conclusion

Neonicotinoids may be associated with inflammatory changes, with potential sexual dimorphism. Further studies are required to explore these findings.

Epilepsy and nicotine use: Exploring disparities in ENDS and cigarette use among US adults with epilepsy

INTRODUCTION

Individuals with epilepsy are at greater risk for tobacco use, which may exacerbate their health challenges. This study examines the prevalence and sociodemographic correlates of electronic nicotine delivery systems (ENDS), cigarette, and dual use among US adults with and without epilepsy.

METHODS

Data from the 2021-2023 National Health Interview Surveys were analyzed (N = 86,655 adults aged ≥ 18 years), including 1,579 (1.89 %, estimated 14.5 million US adults) with self-reported epilepsy (outcome variable). Participants were categorized into mutually exclusive groups: never-use of either product [reference group], current (used on some days or daily) cigarette-only use, ENDS-only, dual-use, former cigarette-only, former ENDS-only, and former dual-use. Weighted logistic regression models assessed the relationship between epilepsy and tobacco use, adjusting for sociodemographic characteristics.

RESULTS

Adults with epilepsy had higher rates of cigarette-only (16.51 % vs. 9.27 %), ENDS-only (5.56 % vs. 3.95 %), and dual use (3.53 % vs. 1.50 %) compared to those without epilepsy. Relative to never use, current cigarette-only use (AOR = 1.66, 95 %CI: 1.36-2.01), current ENDS-only use (AOR = 1.51, 95 %CI: 1.08-2.13), and current dual use (AOR = 2.29, 95 % CI: 1.56-3.48) were associated with higher odds of epilepsy after adjusting for demographic and health factors. Among adults with epilepsy, identifying as gay, lesbian, or bisexual was linked to higher odds of cigarette, ENDS, or dual use compared to straight individuals. Lower levels of education were associated with higher odds of cigarette smoking, while having health insurance was associated with lower odds among adults with epilepsy. Adults ≥ 35 were more likely to smoke cigarettes and less likely to use ENDS compared to younger age groups.

CONCLUSION

Cigarette, ENDS, and dual use rates were higher in adults with epilepsy than in those without epilepsy. Social factors like sexual orientation, education, and insurance status further influence tobacco use within this population. Tailored cessation interventions are warranted for this vulnerable population to reduce disease burden.

High cotinine levels as an associated factor with frailty status in older adults: evidence from the NHANES study

INTRODUCTION

Smoking has been recognized as a contributing factor to frailty in older adults. Nevertheless, it remains uncertain whether the degree of smoking has a discernible impact on frailty among older smokers. This cross-sectional study was conducted to investigate the correlation between serum cotinine levels, a biomarker reflecting tobacco exposure, and the presence of frailty within a nationally representative cohort of older adults.

METHOD

A total of 1626 individuals aged ≥ 60 who identified as smokers were included in the analysis. Participants were selected based on self-reported current smoking status. According to the Fried Phenotype, frailty is assessed through five dimensions: unintentional weight loss, slow walking speed, weakness, self-reported exhaustion, and low physical activity. Participants with three or more of these conditions were categorized as frailty, those with at least one but less than three as pre-frailty, and those with none as robust. Multinomial logistic regression models were employed to explore the relationship between serum cotinine level quartiles, with the lowest quartile as the reference group, and the various frailty statuses, with robustness as the reference category. These models were adjusted for covariates, including age, sex, race/ethnicity, alcohol drinking, daily protein intake, systolic blood pressure, serum albumin level, depressive symptoms, and cognitive function. The data used for this analysis were sourced from the National Health and Nutrition Examination Survey for the years 2011 to 2014.

RESULTS

The median age of the participants was 69.0 years. The majority were male (62.2%) and non-Hispanic White (49.0%). The distribution of frailty statuses among the participants revealed that the highest proportion had pre-frailty (50.7%), followed by robustness (41.1%), and frailty (8.2%). Multinomial logistic regression showed that participants in the 4th quartile of serum cotinine level exhibited a higher probability of pre-frailty versus robustness (Odds ratio [OR] 1.599, 95% confidence interval [CI] 1.017, 2.513, P = 0.042). Participants in the 3rd quartile of serum cotinine level had higher odds of frailty versus robustness (OR 2.403, 95% CI 1.125, 5.134, P = 0.024). Moreover, participants whose serum cotinine levels were higher than the literature cutoffs (≥ 15 ng/ml) were more likely to be pre-frail (Odds ratio [OR] 1.478, 95% confidence interval [CI] 1.017, 2.150, P = 0.035) or frail (Odds ratio [OR] 2.141, 95% confidence interval [CI] 1.054, 4.351, P = 0.041).

CONCLUSIONS

A higher serum cotinine level is linked to an elevated probability of pre-frailty and frailty among older smokers. Initiatives geared towards assisting older smokers in reducing or quitting their smoking habits might possibly play a crucial role in preventing pre-frailty and frailty.

Behavioral risk factors and socioeconomic inequalities in ischemic heart disease mortality in the United States: A causal mediation analysis using record linkage data

BACKGROUND

Ischemic heart disease (IHD) is a major cause of death in the United States (US), with marked mortality inequalities. Previous studies have reported inconsistent findings regarding the contributions of behavioral risk factors (BRFs) to socioeconomic inequalities in IHD mortality. To our knowledge, no nationwide study has been conducted on this topic in the US.

METHODS AND FINDINGS

In this cohort study, we obtained data from the 1997 to 2018 National Health Interview Survey with mortality follow-up until December 31, 2019 from the National Death Index. A total of 524,035 people aged 25 years and older were followed up for 10.3 years on average (SD: 6.1 years), during which 13,256 IHD deaths occurred. Counterfactual-based causal mediation analyses with Cox proportional hazards models were performed to quantify the contributions of 4 BRFs (smoking, alcohol use, physical inactivity, and BMI) to socioeconomic inequalities in IHD mortality. Education was used as the primary indicator for socioeconomic status (SES). Analyses were performed stratified by sex and adjusted for marital status, race and ethnicity, and survey year. In both males and females, clear socioeconomic gradients in IHD mortality were observed, with low- and middle-education people bearing statistically significantly higher risks compared to high-education people. We found statistically significant natural direct effects of SES (HR = 1.16, 95% CI: 1.06, 1.27 in males; HR = 1.28, 95% CI: 1.10, 1.49 in females) on IHD mortality and natural indirect effects through the causal pathways of smoking (HR = 1.18, 95% CI: 1.15, 1.20 in males; HR = 1.11, 95% CI: 1.08, 1.13 in females), physical inactivity (HR = 1.16, 95% CI: 1.14, 1.19 in males; HR = 1.18, 95% CI: 1.15, 1.20 in females), alcohol use (HR = 1.07, 95% CI: 1.06, 1.09 in males; HR = 1.09, 95% CI: 1.08, 1.11 in females), and BMI (HR = 1.03, 95% CI: 1.02, 1.04 in males; HR = 1.03, 95% CI: 1.02, 1.04 in females). Smoking, physical inactivity, alcohol use, and BMI mediated 29% (95% CI, 24%, 35%), 27% (95% CI, 22%, 33%), 12% (95% CI, 10%, 16%), and 5% (95% CI, 4%, 7%) of the inequalities in IHD mortality between low- and high-education males, respectively; the corresponding proportions mediated were 16% (95% CI, 11%, 23%), 26% (95% CI, 20%, 34%), 14% (95% CI, 11%, 19%), and 5% (95% CI, 3%, 7%) in females. Proportions mediated were slightly lower with family income used as the secondary indicator for SES. The main limitation of the methodology is that we could not rule out residual exposure-mediator, exposure-outcome, and mediator-outcome confounding.

CONCLUSIONS

In this study, BRFs explained more than half of the educational differences in IHD mortality, with some variations by sex. Public health interventions to reduce intermediate risk factors are crucial to reduce the socioeconomic disparities and burden of IHD mortality in the general US population.

The role of different physical function tests for the prediction of fracture risk in older women

BACKGROUND

Physical function is an important risk factor for fracture. Previous studies found that different physical tests (e.g., one-leg standing [OLS] and timed up and go [TUG]) predict fracture risk. This study aimed to determine which physical function test is the most optimal independent predictor of fracture risk, together with clinical risk factors (CRFs) used in fracture risk assessment (FRAX) and bone mineral density (BMD).

METHODS

In total, 2321 women out of the included 3028 older women, aged 77.7 ± 1.6 (mean ± SD), in the Sahlgrenska University Hospital Prospective Evaluation of Risk of Bone Fractures study had complete data on all physical function tests and were included in the analysis. At baseline, hand grip strength, OLS, TUG, walking speed and chair stand tests were performed. All incident fractures were confirmed by X-ray or review of medical records and subsequently categorized as major osteoporotic fractures (MOFs), hip fractures and any fracture. Multivariate Cox regression (hazard ratios [HRs] and 95% confidence intervals [CIs]) analyses were performed with adjustments for age, body mass index (BMI), FRAX CRFs, femoral neck BMD and all physical function tests as predictors both individually and simultaneously. Receiver operating characteristic (ROC) analyses and Fine and Gray analyses were also performed to investigate associations between physical function and incident fractures.

RESULTS

OLS was the only physical function test to be significantly and independently associated with increased risk of any fracture (HR 1.13 [1.04-1.23]), MOF (HR 1.15 [1.04-1.26]) and hip fracture (HR 1.34 [1.11-1.62]). Adjusting for age, BMI, CRFs and femoral neck BMD did not materially alter these associations. ROC analysis for OLS, together with age, BMI, femoral neck BMD and CRFs, yielded area under the curve values of 0.642, 0.647 and 0.732 for any fracture, MOF and hip fracture, respectively. In analyses considering the competing risk of death, OLS was the only physical function test consistently associated with fracture outcomes (subhazard ratio [SHR] 1.10 [1.01-1.19] for any fracture, SHR 1.11 [1.00-1.22] for MOF and SHR 1.25 [1.03-1.50] for hip fracture). Walking speed was only independently associated with the risk of hip fracture in all Cox regression models and in the Fine and Gray analyses.

CONCLUSIONS

Among the five physical function tests, OLS was independently associated with all fracture outcomes, even after considering the competing risk of death, indicating that OLS is the most reliable physical function test for predicting fracture risk in older women.

The effects of alcohol use on smoking cessation treatment with nicotine replacement therapy: An observational study

INTRODUCTION

Concurrent users of tobacco and alcohol are at greater risk of harm than use of either substance alone. It remains unclear how concurrent tobacco and alcohol use affects smoking cessation across levels of alcohol use and related problems. This study assessed the relationship between smoking cessation and levels of alcohol use problems.

METHODS

59,018 participants received nicotine replacement therapy through a smoking cessation program. Alcohol use and related symptoms were assessed using the Alcohol Use Disorders Identification Test (AUDIT-10) and the AUDIT-Concise (AUDIT-C). The primary outcome was 7-day point prevalence cigarette abstinence (PPA) at 6-month follow-up. We evaluated the association between alcohol use (and related problems) and smoking cessation using descriptive methods and mixed-effects logistic regression.

RESULTS

7-day PPA at 6-months was lower in groups meeting hazardous alcohol consumption criteria, with the lowest probability of smoking abstinence observed in the highest risk group. The probability of successful tobacco cessation fell with increasing levels of alcohol use and related problems. Adjusted predicted probabilities were 30.3 (95 % CI = 29.4, 31.1) for non-users, 30.2 (95 % CI = 29.4, 31.0) for low-risk users, 29.0 (95 % CI = 28.1, 29.9) for those scoring below 8 on the AUDIT-10, 27.3 (95 % CI = 26.0, 28.6) for those scoring 8-14, and 24.4 (95 % CI = 22.3, 26.5) for those scoring 15 or higher.

CONCLUSION

Heavy, hazardous alcohol use is associated with lower odds of successfully quitting smoking compared to low or non-use of alcohol. Targeting alcohol treatment to this group may improve tobacco cessation outcomes.

Associations between ENDS and cigarette use, and compromised immunity in US adults: Findings from the 2021-2022 NHIS

BACKGROUND

Tobacco use presents increased risks for individuals with weakened immune systems (WIS). We investigated the association between cigarette and electronic nicotine delivery systems (ENDS or e-cigarettes) use and WIS in US adults using data from the 2021-2022 National Health Interview Survey.

METHODS

Data from 57,133 adults were analyzed, focusing on WIS prevalence due to health conditions, prescriptions, or both. Cigarette and ENDS use were categorized as never, former, or current. Weighted multivariable regression models adjusted for demographics and other health conditions to assess associations between tobacco use and WIS.

RESULTS

Among US adults, 4.3% had prescription-related WIS, 4.6% had health condition-related WIS, and 7% had WIS due to either reason. Adjusted results from multivariable regression models indicated that adults with WIS due to health conditions were more likely to be current (AOR = 1.21, 95%CI: 1.05-1.40) and former (AOR = 1.25, 95%CI: 1.11-1.39) cigarette smokers compared to counterparts without WIS. Adults with WIS due to prescriptions were more likely to be former cigarette smokers (AOR = 1.19, 95%CI: 1.06-1.34). Those with WIS for any reason were more likely to be current (AOR = 1.19, 95%CI: 1.05-1.35) and former (AOR = 1.24, 95%CI: 1.13-1.36) cigarette smokers. Adults with WIS due to health conditions (AOR = 1.23, 95%CI: 1.06-1.41) or any reasons (AOR = 1.19, 95%CI:1.05-1.34) were more likely to be former ENDS users compared to those without WIS.

CONCLUSIONS

In this nationally representative study, we found a notable link between cigarette and ENDS use with WIS, particularly among those with health condition-related or prescription-related WIS, underscoring the importance of addressing tobacco use in this vulnerable population.

Intersectional socioeconomic disparities in continuous smoking through pregnancy among pre-pregnant smokers in Sweden between 2006 and 2016

BACKGROUND

While well-established associations exist between socioeconomic conditions and smoking during pregnancy (SDP), less is known about social disparities in the risk of continuous SDP. Intersectional analyses that consider multiple social factors simultaneously can offer valuable insight for planning smoking cessation interventions.

METHODS

We include all 146,222 pregnancies in Sweden between 2006 and 2016 where the mother smoked at three months before pregnancy. The outcome was continuous SDP defined as self-reported smoking in the third trimester. Exposures were age, education, migration status and civil status. We examined all exposures in a mutually adjusted unidimensional analysis and in an intersectional model including 36 possible combinations. We present ORs with 95% Confidence Intervals, and the Area Under the Curve (AUC) as a measure of discriminatory accuracy (DA).

RESULTS

In our study, education status was the factor most strongly associated to continuous SDP among women who smoked at three months before pregnancy. In the unidimensional analysis women with low and middle education had ORs for continuous SDP of 6.92 (95%CI 6.63-7.22) and 3.06 (95%CI 2.94-3.18) respectively compared to women with high education. In the intersectional analysis, odds of continuous SDP were 17.50 (95%CI 14.56-21.03) for married women born in Sweden aged ≥ 35 years with low education, compared to the reference group of married women born in Sweden aged 25-34 with high education. AUC-values were 0.658 and 0.660 for the unidimensional and intersectional models, respectively.

CONCLUSION

The unidimensional and intersectional analyses showed that low education status increases odds of continuous SDP but that in isolation education status is insufficient to identify the women at highest odds of continuous SDP. Interventions targeted to social groups should be preceded by intersectional analyses but further research is needed before recommending intensified smoking cessation to specific social groups.

Changes in smoking use and subsequent lung cancer risk in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study

BACKGROUND

Reducing cigarettes per day may lower the risk of lung cancer compared with continuing to smoke at the same intensity. Other changes in smoking behaviors, such as increasing cigarette consumption or quitting for a period and relapsing, may also affect lung cancer risk.

METHODS

We examined changes in smoking status and cigarettes per day among 24 613 Finnish male smokers aged 50-69 years who participated in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Longitudinal data on smoking were collected during study follow-up visits 3 times a year (approximately every 4 months) between 1985 and 1993. Incident lung cancer patients through 2012 were identified by the Finnish Cancer Registry. Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression.

RESULTS

Compared with smoking 20 cigarettes per day continuously across the intervention period, reducing an average of 5 cigarettes per day per year while smoking was associated with a 20% lower risk of lung cancer (95% CI = 0.71 to 0.90). A substantially lower risk of lung cancer was also observed when participants smoked at 50% (RR = 0.72, 95% CI = 0.57 to 0.90) and 10% (RR = 0.55, 95% CI = 0.36 to 0.83) of study visits, relative to smoked at 100% of study visits.

CONCLUSIONS

Smokers may lower their risk of lung cancer by reducing smoking intensity (cigarettes per day while smoking) and the time they smoke. However, quitting smoking completely is the most effective way for smokers to reduce their risk of lung cancer.

Feasibility of precision smoking treatment in a low-income community setting: results of a pilot randomized controlled trial in The Southern Community Cohort Study

BACKGROUND

The feasibility of precision smoking treatment in socioeconomically disadvantaged communities has not been studied.

METHODS

Participants in the Southern Community Cohort Study who smoked daily were invited to join a pilot randomized controlled trial of three smoking cessation interventions: guideline-based care (GBC), GBC plus nicotine metabolism-informed care (MIC), and GBC plus counseling guided by a polygenic risk score (PRS) for lung cancer. Feasibility was assessed by rates of study enrollment, engagement, and retention, targeting > 70% for each. Using logistic regression, we also assessed whether feasibility varied by age, sex, race, income, education, and attitudes toward precision smoking treatment.

RESULTS

Of 92 eligible individuals (79.3% Black; 68.2% with household income < $15,000), 67 (72.8%; 95% CI 63.0-80.9%) enrolled and were randomized. Of these, 58 (86.6%; 95% CI 76.4-92.8%) engaged with the intervention, and of these engaged participants, 43 (74.1%; 95% CI 61.6-83.7%) were retained at 6-month follow-up. Conditional on enrollment, older age was associated with lower engagement (OR 0.83, 95% CI 0.73-0.95, p = 0.008). Conditional on engagement, retention was significantly lower in the PRS arm than in the GBC arm (OR 0.18, 95% CI 0.03-1.00, p = 0.050). No other selection effects were observed.

CONCLUSIONS

Genetically informed precision smoking cessation interventions are feasible in socioeconomically disadvantaged communities, exhibiting high enrollment, engagement, and retention irrespective of race, sex, income, education, or attitudes toward precision smoking treatment. Future smoking cessation interventions in this population should take steps to engage older people and to sustain participation in interventions that include genetic risk counseling.

TRIAL REGISTRATION

ClinicalTrials.gov No. NCT03521141, Registered 27 April 2018, https://www.

CLINICALTRIALS

gov/study/NCT03521141.

National Smoking Cessation Services (NSCS) enrollment and their effect on long-term tobacco cessation in Korea: Results from a 1-year prospective follow-up of NSCS participants

INTRODUCTION

The study aimed to identify predictors associated with long-term tobacco cessation at 12-month follow-up among users of the National Smoking Cessation Services (NSCS) in Korea.

METHODS

To measure the long-term effect of NSCS delivery, the target sample size of 5167 adult smokers registered in the NSCS in 2018 was enrolled with proportional random sampling. A multiple logistic regression analysis (crude, adjusted) was performed to identify the changes in smoking status at the 12-month follow-up after the last NSCS enrollment and the potential factors associated with changes in smoking status.

RESULTS

The response rate to reach the number of subjects targeted was 22.4%. A total of 41.2% of the tobacco users enrolled had successfully quit at baseline, and the 7-day point prevalence of tobacco cessation at the follow-up at 12 months, via a telephone survey, was 34.4%. Factors positively associated with cessation at the 12-month follow-up were longer experience with tobacco abstinence and additional quitting attempts with or without NSCS enrollment, although every additional quit attempt with NSCS use had a better outcome. In addition, having a successful quit outcome with NSCS use at the baseline and having more satisfaction with the service of professional counseling or incentives than others provided by NSCS, increased cessation at follow-up after adjustment of other factors considered.

CONCLUSIONS

In addition to multiple quitting attempts, longer experience with tobacco abstinence, and additional enrollment in NSCS, the service experience, and satisfaction with the content that NSCS offered, might improve the lasting success of abstinence. These results might be considered to improve the contents and protocols of the NSCS for better outcomes.

The long-term effects of heated tobacco product exposure on the central nervous system in a mouse model of prodromal Alzheimer's disease

Heated tobacco products (HTPs) have emerged as novel alternatives to conventional cigarettes (CCs), marketed by the tobacco industry as having a reduced potential for harm. Nevertheless, a significant dearth of information remains regarding the long-term effects of HTPs on the central nervous system (CNS). Here, we sought to shed light on the repercussions of prolonged exposure to HTPs on the CNS, employing a mouse model mimicking prodromal Alzheimer's disease (AD). Our study entailed subjecting App knock-in mice to 16 weeks of HTP exposure, administered 5 days per week, with serum cotinine concentration serving as confirmation of HTP exposure within this model. Histological analysis, aimed at assessing amyloid pathology, unveiled a minimal impact attributable to HTPs. However, exploration of differentially expressed genes in the cerebral cortex, using unadjusted p values, indicated an association between HTP exposure and non-inflammatory pathways, specifically linked to neurohypophyseal and neuropeptide hormone activity within the CNS. Of note, similar results have already been observed after exposure to CCs in vivo. Our study not only contributes insights into the potential non-inflammatory effects of HTPs within the context of AD pathogenesis but also underscores the significance of continued research to comprehend the full scope of their impact on the CNS.

A Nationally Representative Study of the Hardening Hypothesis Among Educational Groups Over Four Decades

INTRODUCTION

As smoking prevalence has decreased, there has been debate about "hardening" (smokers are more resistant to established tobacco control measures) or "softening" (smokers are more responsive to interventions) of the remaining smoking population. Despite growing evidence to reject the "hardening" hypothesis, there is lack of long-term population-based studies to test this hypothesis by educational level.

AIMS AND METHODS

Repeated cross-sectional population-based surveys during 1978-2014 and in 2018 were utilized. The target population consisted of ~5000 25-64-year-old Finns annually. The data included 109 257 respondents of which 53 351 ever-smoking individuals were included in the analyses. Response rates varied between 84% and 43%. Five hardening indicators considering smoking frequency, intensity and smoking cessation were used as the dependent variables. The main independent variable was study year (time). Statistical analyses were based on regression models using restricted cubic splines by educational level.

RESULTS

Contrary to the hardening hypothesis, hardening indicators showed softening over time among all educational groups. However, educational groups differed from each other. Compared with the highly educated, the quit ratio was lower, number of cigarettes per day (CPD) was higher, the proportions of daily smokers among current smokers and heavy smokers among daily smokers were higher among the less educated.

CONCLUSIONS

In accordance with growing evidence, also the Finnish smoking population has "softened" over time. Although the change has been predominantly in the same direction for all educational groups, the rate of change has been stronger among the highly educated, highlighting the continued burden of smoking among the less educated.

IMPLICATIONS

Even though "softening" of smoking has occurred, lighter smoking also poses health risks. Therefore, tobacco control policies and cessation services should be developed and targeted to a greater extent also for people who smoke less than daily and for those who smoke fewer CPD. Furthermore, interventions should focus on special requirements of the lower educational groups to promote health equity.

Mediation Analysis of Maternal Smoking, Gestational Age, and Birth Weight on the Texas-Mexico Border

OBJECTIVES

Published data on the indirect effect of maternal smoking on birth weight as mediated by gestational age in Hispanic populations are lacking. Our goal was to conduct such a mediation analysis using data from El Paso County, Texas.

METHODS

El Paso County is located on the US-Mexico border. A simple mediation analysis was conducted using year 2010 El Paso County birth certificate data. The SAS macro PROCESS 3.5.3 was used to estimate the direct and indirect effects of active maternal smoking (by trimester) on birth weight (in grams) in the setting of linear regression. The single mediator was gestational age in weeks. A direct or indirect effect was deemed to be present if the 95% confidence limits (CLs) excluded 0. Analyses were adjusted for multiple variables, including maternal prepregnancy body mass index. The indirect effect was reported along with a 95% bootstrap CL.

RESULTS

A total of 16,654 singleton births were included in the cohort. The majority of the mothers were White Hispanic (87.2%). The mean (standard deviation) birth weight was 3198.6 g (517.2). A direct effect of maternal smoking during each trimester on birth weight was detected. An indirect effect of maternal smoking on birth weight was not detected in any of the trimesters. In adjusted analyses for the third trimester, the indirect effect for every 1-U increase in the mean number of cigarettes smoked per day was -4.18 (95% bootstrap CL -10.64 to 1.99).

CONCLUSIONS

In our large, predominantly Hispanic cohort, it appears that gestational age is not a mediator of the effect of maternal smoking on birth weight. Future studies in our population should explore other possible mediators of this association.

The Potential Negative Effects of Smoking on Cervical and Lumbar Surgery Beyond Pseudarthrosis: A Michigan Spine Surgery Improvement Collaborative Study

OBJECTIVE

To review the Michigan Spine Surgery Improvement Collaborative registry to investigate the long-term associations between current smoking status and outcomes after elective cervical and lumbar spine surgery.

METHODS

Using the Michigan Spine Surgery Improvement Collaborative, we captured all cases from January 1, 2017, to November 21, 2020, with outcomes data available; 19,251 lumbar cases and 7936 cervical cases were included. Multivariate regression analyses were performed to assess the relationship of smoking with the clinical outcomes.

RESULTS

Current smoking status was associated with lower urinary retention and satisfaction for patients after lumbar surgery and was associated with less likelihood of achieving minimal clinically important difference in primary outcome measures including Patient-Reported Outcomes Measurement Information System, back pain, leg pain, and EuroQol-5D at 90 days and 1 year after surgery. Current smokers were also less likely to return to work at 90 days and 1 year after surgery. Among patients who underwent cervical surgery, current smokers were less likely to have urinary retention and dysphagia postoperatively. They were less likely to be satisfied with the surgery outcome at 1 year. Current smoking was associated with lower likelihood of achieving minimal clinically important difference in Patient-Reported Outcomes Measurement Information System, neck pain, arm pain, and EuroQol-5D at various time points. There was no difference in return-to-work status.

CONCLUSIONS

Our analysis suggests that smoking is negatively associated with functional improvement, patient satisfaction, and return-to-work after elective spine surgery.

Factors associated with predictors of smoking cessation from a Norwegian internet-based smoking cessation intervention study

INTRODUCTION

We examined if we could identify predictors for smoking cessation at six months post cessation, among smokers enrolled in a large Norwegian population-based intervention study.

METHODS

We followed 4333 (72.1% women) smokers who enrolled in an internet-based smoking cessation intervention during 2010–2012. The baseline questionnaire collected information on sociodemographic and lifestyle factors, including current snus use. The cessation outcome was self-reported no smoking past seven days, at six months. We used logistic regression to estimate odds ratios (ORs) with 95% confidence intervals, to identify predictors of smoking cessation, adjusting for potential confounders.

RESULTS

Women (OR=1.30; 95% CI: 1.01–1.69) compared with men, and those with medium (OR=1.31; 95% CI: 1.02–1.68) and longer (OR=1.42; 95% CI: 1.06–1.90) education compared with those with shorter education, were more likely to be successful quitters.

Overall, being a student (OR=0.56; 95% CI: 0.37–0.85) compared with having full-time work, and a moderate to high Fagerström test for nicotine dependence (FTND) score (OR=0.69; 95% CI: 0.55–0.87) compared with a low score, were predictors for unsuccessful cessation. Current snus use was a predictor for unsuccessful cessation compared to no snus use for both men (OR=0.49; 95% CI: 0.28–0.88) and women (OR=0.49; 95% CI: 0.32–0.75).

CONCLUSIONS

Our study identifies female sex and longer education as predictors for successful smoking cessation, while a medium or high FTND score, being a student, and current snus use, were predictors for unsuccessful smoking cessation. Only current snus use was a predictor for unsuccessful cessation for both sexes. Our results indicate that smokers should be warned that snus use may prevent successful smoking cessation.

Depression, smoking, and lung cancer risk over 24 years among women

BACKGROUND

Studies evaluating depression's role in lung cancer risk revealed contradictory findings, partly because of the small number of cases, short follow-up periods, and failure to account for key covariates including smoking exposure. We investigated the association of depressive symptoms with lung cancer risk in a large prospective cohort over 24 years while considering the role of smoking.

METHODS

Women from the Nurses' Health Study completed measures of depressive symptoms, sociodemographics, and other factors including smoking in 1992 (N = 42 913). Depressive symptoms were also queried in 1996 and 2000, whereas regular antidepressant use and physician-diagnosed depression were collected starting in 1996. Multivariable Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of lung cancer risk until 2016.

RESULTS

We identified 1009 cases of lung cancer. Women with the highest v. lowest level of depressive symptoms had an increased lung cancer risk (HRsociodemographics-adjusted = 1.62, 95% CI 1.34-1.95; HRfully-adjusted = 1.25, 95% CI 1.04-1.51). In a test of mediation, lifetime pack-years of smoking accounted for 38% of the overall association between depressive symptoms and disease risk. When stratifying by smoking status, the elevated risk was evident among former smokers but not current or never smokers; however, the interaction term suggested no meaningful differences across groups (p = 0.29). Results were similar or stronger when considering time-updated depression status (using depressive symptoms, physician diagnosis, and regular antidepressant use) and chronicity of depressive symptoms.

CONCLUSIONS

These findings suggest that greater depressive symptoms may contribute to lung cancer incidence, directly and indirectly via smoking habits, which accounted for over a third of the association.

Harmful Impact of Tobacco Smoking and Alcohol Consumption on the Atrial Myocardium

Tobacco smoking and alcohol consumption are widespread exposures that are legal and socially accepted in many societies. Both have been widely recognized as important risk factors for diseases in all vital organ systems including cardiovascular diseases, and with clinical manifestations that are associated with atrial dysfunction, so-called atrial cardiomyopathy, especially atrial fibrillation and stroke. The pathogenesis of atrial cardiomyopathy, atrial fibrillation, and stroke in context with smoking and alcohol consumption is complex and multifactorial, involving pathophysiological mechanisms, environmental, and societal aspects. This narrative review summarizes the current literature regarding alterations in the atrial myocardium that is associated with smoking and alcohol.

Working Memory Training Reduces Cigarette Smoking Among Low-Income Individuals With Elevated Delay Discounting

INTRODUCTION

The competing neurobehavioral decision systems theory conceptualizes addictive behavior, such as cigarette smoking, as arising from the imbalance between stronger impulsive relative to weaker executive decision processes. Working memory trainings may enhance executive decision processes, yet few studies have evaluated its efficacy on substance misuse, with mixed evidence. The current study is the first to evaluate the efficacy of a working memory training on cigarette smoking. We consider the moderating role of delay discounting (DD), or the preference for smaller, immediately available rewards relative to larger, delayed rewards, which has been associated with smoking onset, progression, and resumption. The investigation focuses on individuals living in high-poverty, low-resource environments due high burden of tobacco-related disease they experience.

AIMS AND METHODS

The study utilized a subset of data (N = 177 individuals who smoke) generated from a randomized clinical trial that is evaluating the efficacy of working memory training for improving health-related outcomes. Participants were randomized to complete up to 15 sessions of the active, working memory training or a control training.

RESULTS

Findings showed that among participants who were randomized to the working memory condition, those with higher rates of baseline DD demonstrated decreases in cigarette smoking (p = .05). Conversely, individuals randomized to the control condition, who had higher rates of baseline DD exhibited increases in cigarette smoking (p = .025).

CONCLUSIONS

Results suggest that DD may be an important indicator of working memory training outcomes and a possible approach for effectively targeting treatments in the future.

IMPLICATIONS

DD is important indicator of working memory training outcomes on cigarette smoking. The findings suggest the possibility to effectively target treatments considering the impact of DD. Given that rates of DD tend to be higher among individuals from low-resource communities, and that computer-based working memory training programs are relatively low-cost and scalable, these findings suggest this approach may have specific utility for adults at heightened risk for cigarette use.This study was registered with ClinicalTrials.gov (Identifier NCT03501706).

Education inequalities in cardiovascular and coronary heart disease in Italy and the role of behavioral and biological risk factors

BACKGROUND AND AIMS

Behavioral and biological risk factors (BBRF) explain part of the variability in socioeconomic differences in health. The present study aimed at evaluating education differences in incidence of cardiovascular disease (CVD) and coronary heart disease (CHD) in Italy and the role of BBRF.

METHODS AND RESULTS

All subjects aged 30-74 years (n = 132,686) who participated to the National Health Interview Surveys 2000 and 2005 were included and followed-up for ten years. Exposure to smoking, physical activity, overweight/obesity, diabetes and hypertension at baseline was considered. Education level was used as an indicator of socioeconomic status. The outcomes were incident cases of CVD and CHD. Hazard ratios by education level were estimated, adjusting for sociodemographic covariates and stratifying by sex and geographic area. The contribution of BBRF to education inequalities was estimated by counterfactual mediation analysis, in addition to the assessment of the risk attenuation by comparing the models including BBRF or not. 22,214 participants had a CVD event and 6173 a CHD event. After controlling for sociodemographic factors, the least educated men showed a 21% higher risk of CVD and a 17% higher risk of CHD compared to the most educated (41% and 61% among women). The mediating effect (natural indirect effect) of BBRF between extreme education levels was 52% for CVD and 84% for CHD among men (16% among women for CVD).

CONCLUSIONS

More effective strategies aiming at reducing socioeconomic disparities in CVD and CHD are needed, through programs targeting less educated people in combination with community-wide initiatives.

The outcome of an automated assessment of trabecular pattern in intraoral radiographs as a fracture risk predictor

OBJECTIVES

This study aims to investigate if automated analyses of the trabecular pattern in intraoral radiographs independently contribute to fracture risk assessment when other risk factors incorporated in the Fracture Risk Assessment Tool (FRAX) are taken into account. A secondary aim is to explore the correlation between the automated trabecular pattern assessment in intraoral radiographs and Trabecular Bone Score (TBS).

METHODS

A total of 567 intraoral radiographs from older females participating in a large population-based study (SUPERB) based in Gothenburg, Sweden, were selected to analyse trabecular pattern using semi-automated and fully automated software. Associations between trabecular pattern analysis and incident fractures were studied using Cox proportional hazard model, unadjusted and adjusted for FRAX risk factors (previous fracture, family history of hip fracture, smoking, corticosteroids, rheumatoid arthritis, without and with bone mineral density (BMD) of the femoral neck). In addition, the correlation between trabecular pattern analysis and TBS of the lumbar spine was investigated using Pearson correlation analysis.

RESULTS

Neither the unadjusted nor the adjusted trabecular pattern analysis in intraoral radiographs was significantly associated with any fracture or major osteoporotic fracture (MOF). A weak correlation was found between semi-automated trabecular pattern analysis and TBS. No correlation was found between the fully automated trabecular pattern analysis and TBS.

CONCLUSIONS

The present study shows that semi-automated and fully automated digital analyses of the trabecular pattern in intraoral radiographs do not contribute to fracture risk prediction. Furthermore, the study shows a weak correlation between semi-automated trabecular pattern analysis and TBS.

Impact of a Clinical Decision Support System for Addressing Physical Activity and/or Healthy Eating during Smoking Cessation Treatment: Hybrid Type I Randomized Controlled Trial (Preprint)

Background

People who smoke have other risk factors for chronic diseases, such as low levels of physical activity and poor diet. Clinical decision support systems (CDSSs) might help health care practitioners integrate interventions for diet and physical activity into their smoking cessation programming but could worsen quit rates.

Objective

The aims of this study are to assess the effects of the addition of a CDSS for physical activity and diet on smoking cessation outcomes and to assess the implementation of the study.

Methods

We conducted a pragmatic hybrid type I effectiveness-implementation trial with 232 team-based primary care practices in Ontario, Canada, from November 2019 to May 2021. We used a 2-arm randomized controlled trial comparing a CDSS addressing physical activity and diet to treatment as usual and used the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to measure implementation outcomes. The primary outcome was self-reported 7-day tobacco abstinence at 6 months.

Results

We enrolled 5331 participants in the study. Of these, 2732 (51.2%) were randomized to the intervention group and 2599 (48.8%) to the control group. At the 6-month follow-up, 29.7% (634/2137) of respondents in the intervention arm and 27.3% (552/2020) in the control arm reported abstinence from tobacco. After multiple imputation, the absolute group difference was 2.1% (95% CI −0.5 to 4.6; F_1,1000.42=2.43; P=.12). Mean exercise minutes changed from 32 (SD 44.7) to 110 (SD 196.1) in the intervention arm and from 32 (SD 45.1) to 113 (SD 195.1) in the control arm (group effect: B=−3.7 minutes; 95% CI −17.8 to 10.4; P=.61). Servings of fruit and vegetables changed from 2.64 servings to 2.42 servings in the intervention group and from 2.52 servings to 2.45 servings in the control group (incidence rate ratio for intervention group=0.98; 95% CI 0.93-1.02; P=.35).

Conclusions

A CDSS for physical activity and diet may be added to a smoking cessation program without affecting the outcomes. Further research is needed to improve the impact of integrated health promotion interventions in primary care smoking cessation programs.

Trial Registration

ClinicalTrials.gov NCT04223336 https://www.clinicaltrials.gov/ct2/show/NCT04223336

International Registered Report Identifier (IRRID)

RR2-10.2196/19157

The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study

Objectives

To study the value of combining individual- and neighborhood-level sociodemographic data to predict study participation and assess the effects of baseline selection on the distribution of metabolic risk factors and lifestyle factors in the Swedish CardioPulmonary bioImage Study (SCAPIS).

Methods

We linked sociodemographic register data to SCAPIS participants (n = 30,154, ages: 50–64 years) and a random sample of the study’s target population (n = 59,909). We assessed the classification ability of participation models based on individual-level data, neighborhood-level data, and combinations of both. Standardized mean differences (SMD) were used to examine how reweighting the sample to match the population affected the averages of 32 cardiopulmonary risk factors at baseline. Absolute SMDs >0.10 were considered meaningful.

Results

Combining both individual-level and neighborhood-level data gave rise to a model with better classification ability (AUC: 71.3%) than models with only individual-level (AUC: 66.9%) or neighborhood-level data (AUC: 65.5%). We observed a greater change in the distribution of risk factors when we reweighted the participants using both individual and area data. The only meaningful change was related to the (self-reported) frequency of alcohol consumption, which appears to be higher in the SCAPIS sample than in the population. The remaining risk factors did not change meaningfully.

Conclusions

Both individual- and neighborhood-level characteristics are informative in assessing study selection effects. Future analyses of cardiopulmonary outcomes in the SCAPIS cohort can benefit from our study, though the average impact of selection on risk factor distributions at baseline appears small.

Associations of established breast cancer risk factors with urinary estrogens in postmenopausal women

PURPOSE

Circulating estrogens are an established risk factor for postmenopausal breast cancer (BCa). We describe the distribution of urinary estrogens, their metabolites, and relevant metabolic pathway ratios among healthy postmenopausal women and examine associations of several known BCa factors with these estrogen measures.

METHODS

Eligible postmenopausal women (n = 167) had no history of hormone use (previous 6 months) and cancer/metabolic disorders and had a body mass index (BMI) ≤ 35 kg/m2. Estrogens were quantified in spot urine samples with liquid chromatography-high-resolution mass spectrometry and corrected for creatinine. We assessed overall distributions of estrogens and associations of age, BMI, race/ethnicity, parity/age at first birth, age at menarche, alcohol, and smoking with log-transformed estrogen measures using multivariate regression.

RESULTS

BMI was positively associated with estrone (β per unit = 0.04, 95% Confidence Interval [CI] 0.00; 0.07), combined parent estrogens (β = 0.04, 95% CI 0.01; 0.07), and E2:total estrogens (β = 0.04, 95% CI 0.02; 0.06), and inversely associated with 4-MeOE1 (β = - 0.17, 95% CI - 0.33; - 0.02), E3:parent estrogens (β = - 0.04, 95% CI - 0.07; - 0.00), and 16-pathway:parent (β = - 0.04, 95% CI - 0.07; - 0.01). Being African American vs. white was associated with higher levels of 4-MeOE1 (β = 3.41, 95% CI 0.74; 6.08), 17-epiE3 (β = 1.19, 95% CI 0.07; 2.31), 2-pathway:parent (β = 0.54, 95% CI 0.04; 1.04), and lower levels of E2:total estrogens (β = - 0.48, 95% CI - 0.83; - 0.13). Having < 7 alcohol drinks/week vs. none was associated with higher levels of 16-ketoE2 (β = 1.32, 95% CI 0.36; 2.27), 16-epiE3 (β = 1.02, 95% CI 0.24; 1.79), and 17-epiE3 (β = 0.55, 95% CI 0.02; 1.08). Smoking was positively associated with E3:parent (β = 0.29, 95% CI 0.01; 0.57), 16-pathway:parent (β = 0.25, 95% CI 0.01; 0.49), and inversely associated with estradiol (β = - 0.52, 95% CI - 0.93; - 0.10). As compared to nulliparous, parous women with age at first birth ≥ 25 years had lower levels of estrone, combined parent estrogens, 2-OHE1, and 2-OHE2.

CONCLUSION

Our findings suggest that BMI, race/ethnicity, and some reproductive and lifestyle factors may contribute to postmenopausal BCa through their effects on circulating estrogens.

Joint effect of particulate matter and cigarette smoke on women's sex hormones

BACKGROUND

Although relationships between exposure to air pollution and reproductive health are broadly studied, mechanisms behind these phenomena are still unknown. The aim of the study was to assess whether exposure to particulate matter (PM10) and tobacco smoking have an impact on menstrual profiles of 17β-estradiol (E2) and progesterone (P) and the E2/P ratio.

METHODS

Levels of sex hormones were measured daily in saliva during the entire menstrual cycle among 132 healthy, urban women. Exposure to smoking (active or passive) was assessed by questionnaire, whilst exposure to PM10 with municipal monitoring data.

RESULTS

During the early luteal phase, profiles of E2 were elevated among women with higher versus lower exposure to PM10 (p = 0.02, post-hoc tests). Among those who were exposed versus unexposed to tobacco smoking, the levels of mean E2 measured during the entire cycle were higher (p = 0.02). The difference in mean E2 levels between the group of joint exposure (i.e. to high PM10 and passive or active smoking) versus the reference group (low PM10, no smoking) was statistically significant at p = 0.03 (18.4 vs. 12.4 pmol/l, respectively). The E2/P ratios were higher among women with higher versus lower exposure to PM10 and this difference was seen only in the early luteal phase (p = 0.01, exploratory post-hoc tests).

CONCLUSIONS

We found that PM10 and tobacco smoking affect ovarian hormones independently and do not interact with each other. Both exposures appear to have estrogenic effects even though women's susceptibility to these effects differs across the menstrual cycle. We propose that the hormonal mechanisms are involved in observed relationships between air pollution and smoking with women's reproductive health.

Prevalence of Binge-Eating Disorder and Its Association with Nicotine Dependence Among Under-Graduate Students at a Saudi Public University

Purpose

There is minimal information regarding the prevalence of binge-eating disorders in Saudi Arabia. This study aims to measure the prevalence of BED and its association with nicotine dependency (ND) among undergraduate university students at Imam Mohammad Ibn Saud Islamic University (IMSIU).

Methods

A cross-sectional study recruited 878 participants, with an inclusion criteria that encompassed all IMSIU undergraduate students of either sex. The online-based self-report questionnaire was distributed through e-mail, which used the Binge-Eating Disorder Screener-7 (BEDS-7) to evaluate BED symptoms and the Fagerstrom Test of Nicotine Dependence (FTND) to measure the levels of ND. The e-FTND version was also adapted into the questionnaire to account for modern methods of nicotine usage.

Results

A total of 165 participants were BED positive, with a prevalence of 18.8%, 99 of whom were women, and 66 were men. Women were significantly more predicted for BED than men (p = 0.035). Men appeared to be mainly more expected to be nicotine dependent (p < 0.001). BED positive participants showed a higher probability of being nicotine dependent than BED negative participants in the multivariate logistic regression analysis (95% CI 1.3–3.2; p = 0.002).

Conclusion

BED prevalence was notably high compared to worldwide estimates, with a significant association to nicotine dependence by the multivariate analysis. In the future, more investigations regarding the prevalence of specific types of eating disorders, including BED, in Saudi Arabia need to be considered.

Effect of smoking on periodontal health and validation of self-reported smoking status with serum cotinine levels

OBJECTIVE

To investigate whether self-reported smoking and serum cotinine levels associate with periodontal pocket development and to determine the accuracy of self-reported smoking using serum cotinine.

MATERIALS AND METHODS

This 4-year prospective cohort study included data from 294 dentate adults, aged ≥30 years, who participated in both the Health 2000 Survey and the Follow-up Study of Finnish Adults' Oral Health. Subjectively reported smoking status (daily smokers n = 62, occasional smokers n = 12, quitters n = 49, and never-smokers n = 171), serum cotinine levels, demographic factors, education level, dental behaviours and medical history were collected at baseline. The outcome measure was the number of teeth with periodontal pocketing ≥4 mm over 4 years.

RESULTS

Self-reported daily smokers had 1.82 (95% CI: 1.32-2.50) higher incidence of deepened periodontal pockets than never-smokers. A positive association was observed between serum cotinine (≥42.0 μg/L) and the development of periodontal pockets. The misclassification rate of self-reported smoking was 6%.

CONCLUSIONS

Both self-reported daily smoking and higher serum cotinine were associated with periodontal pocket development. Self-reported smoking was fairly accurate in this study. However, higher cotinine levels among a few self-reported never-smokers indicated misreporting or passive smoking. Thus, self-reports alone are not enough to assess the smoking-attributable disease burden.

Incidence trends and risk factors of lung cancer in never smokers: Pooled analyses of seven cohorts

The trends in incidence of lung cancer in never smokers are unclear as well as the significance of risk factors. We studied time trends in the incidence and risk factors of lung cancer in never smokers in Finland in a large, pooled cohort. We pooled data from seven Finnish health cohorts from the period between 1972 and 2015 with 106 193 never smokers. The harmonised risk factors included education, alcohol consumption, physical activity, height and BMI. We retrieved incident lung cancers from the nation-wide Finnish Cancer Registry. We estimated average annual percent change (AAPC) and the effects of risk factors on cause-specific hazard ratios (HRs) of lung cancer using Poisson regression. We detected 47 lung cancers in never smoking men (n = 31 859) and 155 in never smoking women (n = 74 334). The AAPC of lung cancer incidence was -3.30% (95% confidence interval [CI]: -5.68% to -0.88%, P = .009) in never smoking men and 0.00% (95% CI: -1.57% to 1.60%, P = .996) in never smoking women. Of the five studied risk factors only greater height in women had a statistically significant increased risk of lung cancer (multivariate HR = 1.84, 95%CI: 1.08 to 3.12). It is plausible that tobacco control measures focused on working places have reduced passive smoking among men more than among women, which could explain the declining trend in lung cancer incidence in never smoker men but not in never smoker women. As tobacco control measures have not been targeted to domestic environments, it is likely that women's exposure to passive smoking has continued longer.

Quit attempts and tobacco abstinence in primary care patients: follow-up of a pragmatic, two-arm cluster randomised controlled trial on brief stop-smoking advice - ABC versus 5As

We developed a 3.5-h training for general practitioners (GPs) in delivering brief stop-smoking advice according to different methods (ABC, 5As). In a pragmatic, cluster randomised controlled trial our training proved effective in increasing GP-delivered rates of such advice (from 13% to 33%). In this follow-up analysis we examined the effect of the training and compared ABC versus 5As on patient-reported quit attempts and point prevalence abstinence at weeks 4, 12 and 26 following GP consultation. Follow-up data were collected in 1937 smoking patients - independently of the receipt of GP advice - recruited before or after the training of 69 GPs. At week 26, ∼70% of the patients were lost to follow-up. All 1937 patients were included in an intention-to-treat analysis; missing outcome data were imputed. Quit attempts and abstinence rates did not differ significantly from pre- to post-training or between patients from the ABC versus the 5As group. However, ancillary analyses showed that patients who received GP advice compared to those who did not had two times higher odds of reporting a quit attempt at all follow-ups and abstinence at week 26. We reported that our training increases GP-delivered rates of stop-smoking advice, and the present analysis confirms that advice is associated with increased quit attempts and abstinence rates in patients. However, our training did not further improve these rates, which might be related to patients' loss to follow-up or to contextual factors, e.g. access to free evidence-based cessation treatment, which can hamper the transfer of GPs' advice into patients' behaviour change.

Genome-wide association meta-analysis of nicotine metabolism and cigarette consumption measures in smokers of European descent

Smoking behaviors, including amount smoked, smoking cessation, and tobacco-related diseases, are altered by the rate of nicotine clearance. Nicotine clearance can be estimated using the nicotine metabolite ratio (NMR) (ratio of 3'hydroxycotinine/cotinine), but only in current smokers. Advancing the genomics of this highly heritable biomarker of CYP2A6, the main metabolic enzyme for nicotine, will also enable investigation of never and former smokers. We performed the largest genome-wide association study (GWAS) to date of the NMR in European ancestry current smokers (n = 5185), found 1255 genome-wide significant variants, and replicated the chromosome 19 locus. Fine-mapping of chromosome 19 revealed 13 putatively causal variants, with nine of these being highly putatively causal and mapping to CYP2A6, MAP3K10, ADCK4, and CYP2B6. We also identified a putatively causal variant on chromosome 4 mapping to TMPRSS11E and demonstrated an association between TMPRSS11E variation and a UGT2B17 activity phenotype. Together the 14 putatively causal SNPs explained ~38% of NMR variation, a substantial increase from the ~20 to 30% previously explained. Our additional GWASs of nicotine intake biomarkers showed that cotinine and smoking intensity (cotinine/cigarettes per day (CPD)) shared chromosome 19 and chromosome 4 loci with the NMR, and that cotinine and a more accurate biomarker, cotinine + 3'hydroxycotinine, shared a chromosome 15 locus near CHRNA5 with CPD and Pack-Years (i.e., cumulative exposure). Understanding the genetic factors influencing smoking-related traits facilitates epidemiological studies of smoking and disease, as well as assists in optimizing smoking cessation support, which in turn will reduce the enormous personal and societal costs associated with smoking.

Is the ongoing obesity epidemic partly explained by concurrent decline in cigarette smoking? Insights from a longitudinal population study. The Tromsø Study 1994-2016

The increase of obesity coincides with a substantial decrease in cigarette smoking. We assessed post-cessation weight change and its contribution to the obesity epidemic in a general population in Norway. A total of 14,453 participants (52.6% women), aged 25-54 years in 1994, who attended at least two of four surveys in the Tromsø Study between 1994 and 2016, were included in the analysis. Hereof 77% participated in both the first and the last survey. Temporal trends in mean body mass index (BMI), prevalence of obesity (BMI ≥ 30 kg/m²) and daily smoking were estimated with generalized estimation equations. We assessed BMI change by smoking status (ex-smoker, quitter, never smoker, daily smoker), and also under a scenario where none quit smoking. In total, the prevalence of daily smoking was reduced over the 21 years between Tromsø 4 (1994-1995) and Tromsø 7 (2015-2016) by 22 percentage points. Prevalence of obesity increased from 5 - 12% in 1994-1995 to 21-26% in 2015-2016, where obesity in the youngest (age 25-44 in 1994) increased more than in the oldest (p < 0.0001). Those who quit smoking had a larger BMI gain compared to the other three smoking subgroups over the 21 years (p < 0.0001). The scenario where none quit smoking would imply a 13% reduction in BMI gain in the population, though substantial age-related differences were noted. We conclude that smoking cessation contributed to the increase in obesity in the population, but was probably not the most important factor. Public health interventions should continue to target smoking cessation, and also target obesity prevention.

Dental Amalgams and the Incidence Rate of Arthritis among American Adults

This hypothesis-testing study evaluated the relationship between mercury (Hg)-based dental amalgams and arthritis diagnoses among adults in the United States (US). A total of 86 305 425 weighted-persons with ⩾1 dental amalgam filling surface (DAFS) (exposed group) and 32 201 088 weighted-persons with ⩾1 other dental filling surface (ODFS) (no DAFS, unexposed group) were examined in the 2015 to 2016 National Health and Nutritional Examination Survey (NHANES). All persons were 20 to 80 years-old with known demographic characteristics and arthritis status. Survey logistic regression and survey frequency modeling in SAS were employed with and without adjustment of covariates. The arthritis rate was significantly increased in the exposed group compared to the unexposed group in the unadjusted (7.68-fold) and adjusted (4.89-fold) models. Arthritis (per 10 000 weighted-person-years) was 6.0-fold significantly increased in the exposed group (6.2) compared to the unexposed group (1.06). A significant bimodal dose-dependent relationship between DAFS and arthritis rate was observed. The arthritis rate increased with increasing DAFS (peak among persons with 4-7 DAFS) and, subsequently, decreased among those with >6 DAFS. A significant decrease in arthritis rate among persons with >13 DAFS as compared to those persons with 4 to 7 DAFS was observed. A significant association between DAFS and arthritis risk and a dose-dependent DAFS associated immune-stimulation/immune-suppression with arthritis risk were observed. An estimated additional $96 835 814 US dollars (USD) are spent on annual medical costs and $184 797 680 USD are lost in annual wages from reported new onset arthritis attributably associated with DAFS (annual total cost = $281 633 494 USD).

Acute effects of a very low nicotine content cigarette on laboratory smoking lapse: Impacts of nicotine metabolism and nicotine dependence

Reducing cigarette nicotine content to nonaddictive levels facilitates smoking cessation; however, very low nicotine content cigarettes (VLNCs) may not be equally effective across heterogeneous smokers. We evaluated the impact of acute VLNC smoking versus control (sham puffs) on craving, withdrawal and smoking lapse behaviour and whether genetically influenced differences in nicotine metabolism and individual differences in nicotine dependence moderate observed effects. Thirty-three overnight-abstinent smokers (15 slow vs. 17 normal nicotine metabolizers; 17 low vs. 16 high nicotine dependence) smoked a 0.05-mg nicotine VLNC during one session and took sham VLNC puffs during another session, in a counterbalanced order. Craving and withdrawal were assessed before and after smoking and sham puffing. Next, participants completed the McKee Smoking Lapse Task, which measures ability to resist smoking and quantity of ad libitum smoking. VLNC (vs. sham) reduced craving and withdrawal, increased ability to resist smoking and reduced ad libitum smoking. VLNC-induced reduction in craving for positive reinforcement was greater in slow (vs. normal) metabolizers. Nicotine metabolism did not moderate any other VLNC responses. High-dependence (vs. low-dependence) participants engaged in greater ad lib smoking across VLNC and sham conditions. Nicotine dependence did not moderate VLNC responses. VLNC reduced craving, withdrawal and smoking lapse behaviour. Individual differences in nicotine metabolism and dependence had a minimal impact on VLNC responses; however, VLNCs were less effective at reducing craving for positive reinforcement among normal (vs. slow) metabolizers. These findings suggest that desirable VLNC effects may extend across heterogeneous groups of smokers.

Variability in outcomes and quality-of-care indicators across clinics participating in a large smoking-cessation program

BACKGROUND

The effectiveness of care for substance-related problems varies across providers. Best-known treatments are rarely universally applied, and various process differences can affect participant outcomes. Measuring and understanding this variability can suggest changes that will improve system performance.

METHODS

We measure variability in 7-day cigarette abstinence at a six-month follow-up; return for a second clinical visit; and receipt of combination nicotine replacement therapy across 223 primary care clinics participating in the Smoking Treatment for Ontario Patients program, a large smoking cessation initiative in Ontario, Canada. We include 41,992 enrolments from April 11, 2016 and May 31, 2019. We risk adjust for demographic and clinical case-mix differences and characterize variability using funnel plots and measures based on clinic-level variance explained. The abstinence outcome is missing for 38% of participants. We adjust for missingness using multiple imputation and inverse probability weighting.

RESULTS

Abstinence was achieved by 28.0% (95% CI = 27.5%-28.5%) of participants, 63.2% (62.8%-63.7%) received combination NRT, and 72.9% (72.4%-73.3%) returned for a second clinical visit. Variability was moderate for abstinence (median odds ratio (MOR) = 1.16) and pronounced for return visit (MOR = 1.29) and combination therapy (MOR = 1.89).

CONCLUSION

Outcomes and processes vary significantly across clinics within a program with shared guidelines and standards. Differences across providers may be greater in other contexts. Results underscore the importance of measuring and understanding variability, and of ongoing maintenance and improvement. The existence of high outliers holds out the possibility of identifying practices that might be more widely adopted.

Lifetime Risk Factors for Pre- and Post-Bronchodilator Lung Function Decline. A Population-based Study

Rationale: Interactions between early life and adult insults on lung function decline are not well understood, with most studies investigating prebronchodilator (pre-BD) FEV₁ decline.Objectives: To investigate relationships between adult risk factors and pre- and post-BD lung function decline and their potential effect modification by early life and genetic factors.Methods: Multiple regression was used to examine associations between adult exposures (asthma, smoking, occupational exposures, traffic pollution, and obesity) and decline in both pre- and post-BD spirometry (forced expiratory volume in 1 s [FEV₁], forced vital capacity [FVC], and FEV₁/FVC) between ages 45 and 53 years in the Tasmanian Longitudinal Health Study (n = 857). Effect modification of these relationships by childhood respiratory risk factors, including low childhood lung function and GST (glutathione S-transferase) gene polymorphisms, was investigated.Results: Baseline asthma, smoking, occupational exposure to vapors/gases/dusts/fumes, and living close to traffic were associated with accelerated decline in both pre- and post-BD FEV₁. These factors were also associated with FEV₁/FVC decline. Occupational exposure to aromatic solvents was associated with pre-BD but not post-BD FEV₁ decline. Maternal smoking accentuated the effect of personal smoking on pre- and post-BD FEV₁ decline. Lower childhood lung function and having the GSTM1 null allele accentuated the effect of occupational exposure to vapors/gases/dusts/fumes and personal smoking on post-BD FEV₁ decline. Incident obesity was associated with accelerated decline in FEV₁ and more pronounced in FVC.Conclusions: This study provides new evidence for accentuation of individual susceptibility to adult risk factors by low childhood lung function, GSTM1 genotype, and maternal smoking.

Middle-age dementia risk scores and old-age cognition: a quasi-experimental population-based twin study with over 20-year follow-up

BACKGROUND

Middle-age risk scores predict cognitive impairment, but it is not known if these associations are evident when controlling for shared genetic and environmental factors. Using two risk scores, self-report educational-occupational score and Cardiovascular Risk Factors, Aging and Dementia (CAIDE), we investigated if twins with higher middle-age dementia risk have poorer old-age cognition compared with their co-twins with lower risk.

METHODS

We used a population-based older Finnish Twin Cohort study with middle-age questionnaire data (n=15 169, mean age=52.0 years, SD=11.8) and old-age cognition measured via telephone interview (mean age=74.1, SD=4.1, n=4302). Between-family and within-family linear regression analyses were performed.

RESULTS

In between-family analyses (N=2359), higher educational-occupational score was related to better cognition (B=0.76, 95% CI 0.69 to 0.83) and higher CAIDE score was associated with poorer cognition (B=-0.73, 95% CI -0.82 to -0.65). Within twin-pair differences in educational-occupational score were significantly related to within twin-pair differences in cognition in dizygotic (DZ) pairs (B=0.78, 95% CI 0.25 to 1.31; N=338) but not in monozygotic (MZ) pairs (B=0.12, 95% CI -0.44 to 0.68; N=221). Within twin-pair differences in CAIDE score were not related to within twin-pair differences in cognition: DZ B=-0.38 (95% CI -0.90 to 0.14, N=343) and MZ B=-0.05 (95% CI -0.59 to 0.49; N=226).

CONCLUSION

Middle-age dementia risk scores predicted old-age cognition, but within twin-pair analyses gave little support for associations independent of shared environmental and genetic factors. Understanding genetic underpinnings of risk score-cognition associations is important for early detection of dementia and designing intervention trials.

Loss of DIAPH1 causes SCBMS, combined immunodeficiency, and mitochondrial dysfunction

BACKGROUND

Homozygous loss of DIAPH1 results in seizures, cortical blindness, and microcephaly syndrome (SCBMS). We studied 5 Finnish and 2 Omani patients with loss of DIAPH1 presenting with SCBMS, mitochondrial dysfunction, and immunodeficiency.

OBJECTIVE

We sought to further characterize phenotypes and disease mechanisms associated with loss of DIAPH1.

METHODS

Exome sequencing, genotyping and haplotype analysis, B- and T-cell phenotyping, in vitro lymphocyte stimulation assays, analyses of mitochondrial function, immunofluorescence staining for cytoskeletal proteins and mitochondria, and CRISPR-Cas9 DIAPH1 knockout in heathy donor PBMCs were used.

RESULTS

Genetic analyses found all Finnish patients homozygous for a rare DIAPH1 splice-variant (NM_005219:c.684+1G>A) enriched in the Finnish population, and Omani patients homozygous for a previously described pathogenic DIAPH1 frameshift-variant (NM_005219:c.2769delT;p.F923fs). In addition to microcephaly, epilepsy, and cortical blindness characteristic to SCBMS, the patients presented with infection susceptibility due to defective lymphocyte maturation and 3 patients developed B-cell lymphoma. Patients' immunophenotype was characterized by poor lymphocyte activation and proliferation, defective B-cell maturation, and lack of naive T cells. CRISPR-Cas9 knockout of DIAPH1 in PBMCs from healthy donors replicated the T-cell activation defect. Patient-derived peripheral blood T cells exhibited impaired adhesion and inefficient microtubule-organizing center repositioning to the immunologic synapse. The clinical symptoms and laboratory tests also suggested mitochondrial dysfunction. Experiments with immortalized, patient-derived fibroblasts indicated that DIAPH1 affects the amount of complex IV of the mitochondrial respiratory chain.

CONCLUSIONS

Our data demonstrate that individuals with SCBMS can have combined immune deficiency and implicate defective cytoskeletal organization and mitochondrial dysfunction in SCBMS pathogenesis.

Recent Developments in the Determination of Biomarkers of Tobacco Smoke Exposure in Biological Specimens: A Review

Environmental tobacco smoke exposure (ETS) and smoking have been described as the most prevalent factors in the development of certain diseases worldwide. According to the World Health Organization, more than 8 million people die every year due to exposure to tobacco, around 7 million due to direct ETS and the remaining due to exposure to second-hand smoke. Both active and second-hand exposure can be measured and controlled using specific biomarkers of tobacco and its derivatives, allowing the development of more efficient public health policies. Exposure to these compounds can be measured using different methods (involving for instance liquid- or gas-chromatographic procedures) in a wide range of biological specimens to estimate the type and degree of tobacco exposure. In recent years, a lot of research has been carried out using different extraction methods and different analytical equipment; this way, liquid-liquid extraction, solid-phase extraction or even miniaturized procedures have been used, followed by chromatographic analysis coupled mainly to mass spectrometric detection. Through this type of methodologies, second-hand smokers can be distinguished from active smokers, and this is also valid for e-cigarettes and vapers, among others, using their specific biomarkers. This review will focus on recent developments in the determination of tobacco smoke biomarkers, including nicotine and other tobacco alkaloids, specific nitrosamines, polycyclic aromatic hydrocarbons, etc. The methods for their detection will be discussed in detail, as well as the potential use of threshold values to distinguish between types of exposure.

Investigating the environmental, behavioural, and sociodemographic determinants of attendance at a city-wide public health physical activity intervention: Longitudinal evidence over one year from 185,245 visits

Understanding the determinants of attendance at public health interventions is critical for effective policy development. Most research focuses on individual-level determinants of attendance, while less is known about environmental-level determinants. Data were obtained from the Leeds Let's Get Active public health intervention in Leeds, England. Longitudinal data (April 2015-March 2016) on attendance were obtained for n = 25,745 individuals (n = 185,245 total visits) with baseline data on sociodemographic determinants and lifestyle practices obtained for n = 3621 individuals. This resulted in a total of n = 744,468 days of attendance and non-attendance. Random forests were used to explore the relative importance of the determinants on attendance, while generalised linear models were applied to examine specific associations (n = 3621). The probability that a person will attend more than once, the number of return visits, and the probability that a person will attend on a particular day were investigated. When considering if a person returned to the same leisure centre after one visit, the most influential determinant was the distance from their home. When considering number of return visits overall however, age group was the most influential. While distance to a leisure centre was less important for predicting the number of return visits, the difference between estimates for 300 m and 15,000 m was 7-10 visits per year. Finally, calendar month was the most important determinant of daily attendance. This longitudinal study highlights the importance of both individual and environmental determinants in predicting various aspects of attendance. It has implications for strategies aiming to increase attendance at public health interventions.

Pregnant Smokers Receiving Opioid Agonist Therapy Have an Elevated Nicotine Metabolite Ratio: A Replication Study

Introduction

Pregnant women exposed chronically to opioids smoked more cigarettes per day (CPD) and had a higher nicotine metabolite ratio (NMR), 3-hydroxycotinine/cotinine, a biomarker of nicotine metabolism and clearance, than those not receiving opioids. We examined CPD and NMR in a group of pregnant smokers, a quarter of whom were receiving opioid agonist therapy (OAT).

Aims and Methods

Pregnant smokers recruited to participate in a placebo-controlled trial of bupropion for smoking cessation provided a blood sample for measurement of NMR.

Results

Half (52.4%) of the 124 women with NMR data were African American. OAT-treated women (n = 34, 27.4%; 27 receiving methadone and 7 buprenorphine) were more likely to be white (79% vs. 30%, p < .001) and to have a lower mean PHQ-9 total score (2.91 [SD = 2.83] vs. 4.83 [SD = 3.82], p = .007). OAT-treated women reported smoking more CPD (9.50 [SD = 5.26] vs. 7.20 [SD = 3.65], p = .005) and had higher NMR (0.78 [SD = 0.36] vs. 0.56 [SD = 0.25], p = .001) than the non-OAT-treated group. In a linear regression analysis adjusting for race, depression severity, and CPD, NMR was greater in the OAT group (p = .025), among whom the daily methadone-equivalent dosage correlated with NMR (Spearman’s ρ = 0.49, p = .003).

Conclusions

Consistent with the findings of Oncken et al. (2019), we found that OAT smokers smoked more and had higher NMR than non-OAT smokers. As higher NMR is associated with a reduced likelihood of smoking cessation, the effects on NMR of both pregnancy and OAT could contribute to a lower smoking cessation rate in pregnant smokers receiving chronic opioid therapy.

Implications

We replicated the finding that the NMR is significantly greater among pregnant smokers receiving OAT than those not receiving this treatment for opioid use disorder. Furthermore, we found that the dosage of the OAT was significantly associated with the NMR level. These findings may contribute to a poorer response to smoking cessation treatment in pregnant women treated with OAT, particularly those receiving high-dose therapy, and raise the question of whether novel approaches are needed to treat smoking in this subgroup of pregnant smokers.

Challenges associated with quantification of selected urinary biomarkers of exposure to tobacco products

Tobacco use, of which cigarette smoking is the most common, is a global health concern and is directly linked to over 7 million premature deaths annually. Measurement of the levels of tobacco-related biomarkers in biological matrices reflects human exposure to the chemicals in tobacco products. Nicotine, nicotine metabolites, anatabine, and anabasine are specific to tobacco and nicotine containing products. However, as nicotine and its metabolites are ubiquitous in the environment, background contamination during sample preparation can occur, making the quantification of target analytes challenging. The main purpose of the present study was to examine quality control measures needed in the determination of urinary nicotine, nicotine metabolites, anatabine, and anabasine. Urine samples (n = 75) and NIST standard reference materials SRM 3671 and SRM 3672 were analysed. A one-step extraction procedure using cold acetone was used in this study, which involved no additional clean up. The blank matrices investigated included synthetic urine prepared with HPLC-grade water, synthetic urine prepared with Milli-Q water, and bovine urine. By adopting strategies for minimizing the background levels, very low detection limits for all the target analytes ranging from 0.025 ng/mL for 3-hydroxycotinine to 0.634 ng/mL for nicotine, were achieved. Recoveries ranged between 67% and 118% with RSD values below 20%. Intra-day and inter-day precisions were in the range of 1.1-11.7% and 4.8-25.2%, respectively. The levels of all target analytes were higher in daily smokers than in non-smokers, with the largest difference observed for 3-hydroxycotinine. No difference was observed in the levels of target analytes between individuals who were former smokers, who never smoked or who were exposed to environmental tobacco smoke (ETS), except for total nicotine equivalents (TNE), which was significantly higher in non-smokers exposed to environmental tobacco smoke compared with study participants who never smoked. The results obtained from SRM 3671 and SRM 3672 could inform a potential certification of additional biomarkers of exposure to tobacco products in those standard reference materials.

The timed up and go test predicts fracture risk in older women independently of clinical risk factors and bone mineral density

The timed up and go (TUG) test measures physical performance and predicts falls in the elderly. In older women, TUG time predicts the risk of major osteoporotic fracture and hip fracture independently of clinical risk factors and bone mineral density, and has a substantial impact on fracture probabilities.

INTRODUCTION

The timed up and go (TUG) test measures physical performance and predicts falls in the elderly. A slow TUG has been associated with an increased fracture risk, but it is unclear whether the association is independent of clinical risk factors and bone mineral density (BMD). The aim of this study was to investigate if TUG time was associated with fracture risk independently of clinical risk factors and BMD and to determine its impact on fracture probabilities in older women.

METHODS

A standardized questionnaire was used to assess information regarding clinical risk factors in the large population-based SUPERB study of 3028 older women (75-80 years). At baseline, the TUG test was performed and BMD measured with DXA. The association between TUG time and the risk of hip fracture and major osteoporotic fracture (MOF) was examined using an extension of Poisson regression.

RESULTS

Fracture incidence increased steeply with increasing TUG time up to 12 s and subsequently started to level off. A slow TUG time was therefore defined as TUG > 12 s, a cutoff level then used in Cox models to study the association between slow TUG and fracture risk. A slow TUG time was associated with an increased risk of fracture (MOF 2.39 [1.80-3.18] and hip fracture 2.96 [1.62-5.40]). These associations were slightly attenuated but remained significant after adjustment for clinical risk factors and femoral neck BMD. Depending on BMD, the 4-year fracture probability of MOF increased by a factor of 1.5-1.9 in a 75-year-old woman with slow TUG (> 12 s).

CONCLUSION

The TUG time predicts the risk of MOF and hip fracture independently of clinical risk factors and BMD and has a substantial impact on fracture probabilities, indicating that inclusion of the TUG test in patient evaluation should be considered in order to improve fracture prediction in older women.

Validation of a Prognostic Multivariable Prediction Model for Insufficient Clinical Response to Methotrexate in Early Rheumatoid Arthritis and Its Clinical Application in Evidencio

INTRODUCTION

Methotrexate (MTX) constitutes the first-line therapy in rheumatoid arthritis (RA), yet approximately 30% of the patients do not benefit from MTX. Recently, we reported a prognostic multivariable prediction model for insufficient clinical response to MTX at 3 months of treatment in the treatment in the Rotterdam Early Arthritis Cohort (tREACH), including baseline predictors: Disease activity score 28 (DAS28), Health Assessment Questionnaire (HAQ), erythrocyte folate, single-nucleotide polymorphisms (SNPs; ABCB1, ABCC3), smoking, and BMI. The purpose of the current study was (1) to externally validate the model and (2) to enhance the model's clinical applicability.

METHODS

Erythrocyte folate and SNPs were assessed in 91 early disease-modifying antirheumatic drug (DMARD)-naïve RA patients starting MTX in the external validation cohort (U-Act-Early). Insufficient response (DAS28 > 3.2) was determined after 3 months and non-response after 6 months of therapy. The previously developed prediction model was considered successfully validated in the U-Act-Early (validation cohort) if the area under the curve (AUC) of the receiver operating characteristic (ROC) was not significantly lower than in the tREACH (derivation cohort).

RESULTS

The AUCs in U-Act-Early at three and 6 months were 0.75 (95% CI 0.64-0.85) and 0.71 (95% CI 0.60-0.82) respectively, similar to the tREACH. Baseline DAS28 > 5.1 and HAQ > 0.6 were the strongest predictors. The model was simplified by excluding the SNPs, while still classifying 73% correctly. Furthermore, interaction terms between BMI and HAQ and BMI and erythrocyte folate significantly improved the model increasing correct classification to 75%. Results were successfully implemented in Evidencio online platform assisting clinicians in shared decision-making to intensify treatment when appropriate.

CONCLUSIONS

We successfully externally validated our recently reported prediction model for MTX non-response and enhanced its clinical application thus enabling its evaluation in a clinical trial.

TRIAL REGISTRATION

The U-Act-Early is registered at ClinicalTrials.gov. number: NCT01034137. tREACH is registered retrospectively at ISRCTN registry, number: ISRCTN26791028 at 23 August 2007.

Neighbourhood greenspace and smoking prevalence: Results from a nationally representative survey in England

OBJECTIVE

The current study investigated whether people are less likely to be smokers when they live in greener neighbourhoods, and whether such an association is attributable to lower rates of ever-smoking and/or higher rates of smoking cessation.

METHOD

Using a representative sample of the adult population of England (N = 8,059), we investigated the relationships between neighbourhood greenspace and three inter-related smoking outcomes (current smoking, ever-smoking and smoking cessation).

RESULTS

After controlling for a range of individual and area-level covariates, including socioeconomic status, income and education, living in the highest greenspace quartile was associated with a 20% lower prevalence of current smoking, compared to living in the lowest greenspace quartile (PR = 0.80, CI = 0.67, 0.96, p < .017). Neighbourhood greenspace was not significantly associated with ever-smoking. However, amongst ever-smokers, residing in the two highest quartiles of neighbourhood greenspace quartiles (vs. 1st quartile) was associated with a 10% and 12% higher prevalence of smoking cessation (PR = 1.10, CI = 1.02, 1.18, p = .012; PR = 1.12, CI = 1.02, 1.22, p = .016, respectively). This suggests that the association between greenspace and current smoking is due to a higher likelihood of smoking cessation, rather than lower rates of ever- smoking. The associations between greenspace, current smoking and smoking cessation were similar in magnitude to those of having high (vs. low) household income and were largely unmoderated by socioeconomic measures.

IMPLICATIONS

Our findings advocate the need to protect and invest in local greenspaces, to maximise the public health benefits they may afford. Improving access to greenspace may constitute an overlooked public health strategy for reducing smoking prevalence.