Objective To investigate the impact of smoking and smoking cessation on cardiovascular mortality, acute coronary events, and stroke events in people aged 60 and older, and to calculate and report risk advancement periods for cardiovascular mortality in addition to traditional epidemiological relative risk measures. Design Individual participant meta-analysis using data from 25 cohorts participating in the CHANCES consortium. Data were harmonised, analysed separately employing Cox proportional hazard regression models, and combined by meta-analysis. Results Overall, 503 905 participants aged 60 and older were included in this study, of whom 37 952 died from cardiovascular disease. Random effects meta-analysis of the association of smoking status with cardiovascular mortality yielded a summary hazard ratio of 2.07 (95% CI 1.82 to 2.36) for current smokers and 1.37 (1.25 to 1.49) for former smokers compared with never smokers. Corresponding summary estimates for risk advancement periods were 5.50 years (4.25 to 6.75) for current smokers and 2.16 years (1.38 to 2.39) for former smokers. The excess risk in smokers increased with cigarette consumption in a dose-response manner, and decreased continuously with time since smoking cessation in former smokers. Relative risk estimates for acute coronary events and for stroke events were somewhat lower than for cardiovascular mortality, but patterns were similar. Conclusions Our study corroborates and expands evidence from previous studies in showing that smoking is a strong independent risk factor of cardiovascular events and mortality even at older age, advancing cardiovascular mortality by more than five years, and demonstrating that smoking cessation in these age groups is still beneficial in reducing the excess risk.

Objectives To measure changes in prevalence and predictors of home smoking bans (HSBs) among smokers in four European countries after the implementation of national smoke-free legislation. Design Two waves of the International Tobacco Control Policy Evaluation Project Europe Surveys, which is a prospective panel study. Pre- and post-legislation data were used from Ireland, France, Germany and the Netherlands. Two pre-legislation waves from the UK were used as control. Participants 4634 respondents from the intervention countries and 1080 from the control country completed both baseline and follow-up and were included in the present analyses. Methods Multiple logistic regression models to identify predictors of having or of adopting a total HSB, and Generalised Estimating Equation models to compare patterns of change after implementation of smoke-free legislation to a control country without such legislation. Results Most smokers had at least partial smoking restrictions in their home, but the proportions varied significantly between countries. After implementation of national smoke-free legislation, the proportion of smokers with a total HSB increased significantly in all four countries. Among continuing smokers, the number of cigarettes smoked per day either remained stable or decreased significantly. Multiple logistic regression models indicated that having a young child in the household and supporting smoking bans in bars were important correlates of having a pre-legislation HSB. Prospective predictors of imposing a HSB between survey waves were planning to quit smoking, supporting a total smoking ban in bars and the birth of a child. Generalised Estimating Equation models indicated that the change in total HSB in the intervention countries was greater than that in the control country. Conclusions The findings suggest that smoke-free legislation does not lead to more smoking in smokers' homes. On the contrary, our findings demonstrate that smoke-free legislation may stimulate smokers to establish total smoking bans in their homes.

We studied the associations of leukocyte telomere length (LTL) with all-cause, cardiovascular disease, and cancer mortality in 12,199 adults participating in 2 population-based prospective cohort studies from Europe (ESTHER) and the United States (Nurses’ Health Study). Blood samples were collected in 1989–1990 (Nurses’ Health Study) and 2000–2002 (ESTHER). LTL was measured by quantitative polymerase chain reaction. We calculated z scores for LTL to standardize LTL measurements across the cohorts. Cox proportional hazards regression models were used to calculate relative mortality according to continuous levels and quintiles of LTL z scores. The hazard ratios obtained from each cohort were subsequently pooled by meta-analysis. Overall, 2,882 deaths were recorded during follow-up (Nurses’ Health Study, 1989–2010; ESTHER, 2000–2015). LTL was inversely associated with age in both cohorts. After adjustment for age, a significant inverse trend of LTL with all-cause mortality was observed in both cohorts. In random-effects meta-analysis, age-adjusted hazard ratios for the shortest LTL quintile compared with the longest were 1.23 (95% confidence interval (CI): 1.04, 1.46) for all-cause mortality, 1.29 (95% CI: 0.83, 2.00) for cardiovascular mortality, and 1.10 (95% CI: 0.88, 1.37) for cancer mortality. In this study population with an age range of 43–75 years, we corroborated previous evidence suggesting that LTL predicts all-cause mortality beyond its association with age.

Background Anxiety and depression seem to be under‐recognized in their importance and are often not incorporated in subsequent prevention strategies in routine clinical care of coronary heart disease. Methods The KAROLA cohort included coronary heart disease patients participating in an in‐patient rehabilitation program (years 1999/2000) and followed after 1, 3, 6, 8, 10, 13, and 15 years. We identified anxiety and depression trajectories based on the hospital anxiety and depression scale subdomains using joint latent class mixture time‐to‐event models. We included cardiovascular (CV) events and non‐CV mortality as competing endpoints. Results We included 1,109 patients (15.4% female; mean age, 59.4 (standard deviation [SD] = 8.0) years) with baseline covariate data. Over a median follow‐up of 14.8 years, participants experienced 324 subsequent CV events. We identified four anxiety and depression trajectory classes, a low‐stable class (52.2% and 69.6% of patients for anxiety and depression, respectively), moderate‐stable class (37.6% and 23.8%), increasing class (2.3% and 3.3%), and high‐stable/high‐decreasing class (7.9% and 3.3%). The hazard ratio (HR) for subsequent CV events for the increasing anxiety class was 2.13 (95% confidence interval [CI], 0.61; 7.45) compared with the low‐stable class after covariate adjustment. Patients following the high‐decreasing anxiety trajectory showed an HR of 1.72 (95% CI, 1.11; 2.68) and patients following the high‐stable depression trajectory an HR of 2.47 (95% CI, 1.35; 4.54). Conclusions Chronic high anxiety and depression trajectory classes were associated with increased risk of subsequent CV events. Assessments of both symptoms of anxiety and depression during long‐term routine medical care are recommended to identify patients who would benefit from appropriate interventions.