Increased all-cause mortality following occupational injury: a comparison of two states.

OBJECTIVES: To measure the impact of lost-time occupational injuries on all-cause mortality in Washington State and, using the same data elements and study design, to determine whether the estimated impact was similar to previous estimates for New Mexico. METHODS: We linked injuries in the Washington workers' compensation system with Social Security Administration data on earnings and mortality. We estimated Cox survival models of mortality for women and men with lost-time compared with medical-only injuries, adjusting for age, pre-injury earnings and industry. We used quantitative bias analysis to account for confounding by pre-injury smoking and obesity. RESULTS: The estimated mortality HR was 1.24 for women (95% CI 1.21 to 1.28) and 1.22 for men (95% CI 1.20 to 1.24). After adjusting for unmeasured pre-injury smoking and obesity, the estimated HR for women was 1.10, 95% simulation interval (SI) 1.00 to 1.21; for men, it was 1.15, 95% SI 1.04 to 1.27. CONCLUSIONS: All-cause mortality for Washington workers with lost-time injuries was higher than for those with medical-only injuries. Estimated HRs for Washington were consistent with those previously estimated for New Mexico, a less populous state with lower median wages and a different workers' compensation insurance mechanism. This suggests that the relationship between workplace injury and long-term mortality may be generalisable to other US states. These findings support greater efforts to enhance safety and to investigate factors that improve postinjury employment opportunities and long-term health. This association should be examined in additional locations, with different study conditions, or using additional data on pre-injury risk factors.

Suicide and drug-related mortality following occupational injury.

BACKGROUND: Drug overdoses and suicides have been rising since 2000 and are major contributors to a 3-year decline in US life expectancy. Studies suggest that injured workers have elevated rates of depression and opioid use, but no studies have measured excess mortality related to these risks. MATERIALS AND METHODS: We linked New Mexico workers' compensation data for 100 806 workers injured in 1994 through 2000 with Social Security Administration earnings and mortality data through 2013 and National Death Index cause of death data. We then estimated the association between receiving lost-time workers' compensation benefits and mortality hazard ratios (HRs) and 95% confidence intervals (CIs) based on Fine and Gray cause-specific subdistribution hazards for common causes of death and for drug-related, suicide, and alcohol-related mortality. RESULTS: There was almost a 3-fold increase in combined drug-related and suicide mortality hazard among women (HR = 2.63, 95% CI = 1.91-3.64) and a substantial increase among men (HR = 1.42, 95% CI = 1.13-1.79). Circulatory disease mortality hazard was elevated for men (HR = 1.25, 95% CI = 1.05-1.50). CONCLUSION: Workplace injuries severe enough to require more than a week off work may impair workers' long-term health and well-being. Drug-related deaths and suicides may be important contributors to the long-term excess mortality of injured workers. Improved workplace conditions, improved pain treatment, better treatment of substance use disorders, and treatment of postinjury depression may substantially reduce mortality consequent to workplace injuries.

Influence of retail cigarette advertising, price promotions, and retailer compliance on youth smoking-related attitudes and behaviors.

CONTEXT: Exposure to retail tobacco marketing is associated with youth smoking, but most studies have relied on self-reported measures of exposure, which are prone to recall bias. OBJECTIVE: To examine whether exposure to retail cigarette advertising, promotions, and retailer compliance is associated with youth smoking-related outcomes using observational estimates of exposure. DESIGN: Data on retail cigarette advertising and promotions were collected from a representative sample of licensed tobacco retailers in New York annually since 2004. County-level estimates of retail cigarette advertising and promotions and retailer compliance with youth access laws were calculated and linked to the New York Youth Tobacco Survey, administered to 54,671 middle and high school students in 2004, 2006, and 2008. Regression models examined whether cigarette advertising, promotions, and retailer compliance were associated with youth's awareness of retail cigarette advertising, attitudes about smoking, susceptibility to smoking, cigarette purchasing behaviors, and smoking behaviors. RESULTS: Living in counties with more retail cigarette advertisements is associated with youth having positive attitudes about smoking (odds ratio [OR] = 1.10, 95% confidence interval [CI] = 1.03-1.19, P < .01). Living in counties with more retail cigarette promotions is associated with youth current smoking (OR = 1.57, 95% CI = 1.01-2.44, P < .05). Living in counties with higher retailer compliance with youth access laws is associated with higher odds of youth being refused cigarettes when attempting to buy in stores (OR = 1.12, 95% CI = 1.01-1.25, P < .05) and lower odds of retail stores being youth's usual source of cigarettes (OR = 0.88, 95% CI = 0.80-0.97, P < .01). CONCLUSIONS: Strong retailer compliance programs and policies that eliminate cigarette advertising and promotions may help reduce youth smoking.

The density of tobacco retailers and its association with attitudes toward smoking, exposure to point-of-sale tobacco advertising, cigarette purchasing, and smoking among New York youth.

OBJECTIVE: Estimate the association between the density of licensed tobacco retailers (LTRs) and smoking-related attitudes and behaviors among middle and high school students in New York. METHODS: The 2000-2008 New York Youth Tobacco Surveys were pooled (N=70,427) and linked with county-level density of LTRs and retailer compliance with laws restricting youth access to cigarettes. Logistic regressions tested for associations with attitudes toward smoking exposure to point-of-sale tobacco advertising, cigarette purchasing, and smoking prevalence. RESULTS: LTR density is associated with self-reported exposure to point-of-sale advertising in New York City (NYC) among all youth (OR=1.15; 95% CI: 1.02, 1.30) and nonsmokers (OR=1.14; 95% CI: 1.01, 1.30); youth believing that smoking makes them look cool, overall (OR=1.75; 95% CI: 1.22, 2.52) and among nonsmokers (OR=1.68; 95% CI: 1.11, 2.55); and a counter-intuitive negative relationship with frequent smoking in NYC (OR=0.50; 95% CI: 0.29, 0.84). Retailer compliance was negatively associated with youth reporting that a retail store is their usual source for cigarettes (OR=0.93; 95% CI: 0.88, 0.98). CONCLUSIONS: Restricting tobacco licenses and enforcing youth access laws are reasonable policy approaches for influencing youth smoking outcomes.

Mortality following workplace injury: Quantitative bias analysis.

PURPOSE: Recent studies have shown increased all-cause mortality among workers following disabling workplace injury. These studies did not account for 2 potentially important confounders, smoking and obesity. We estimated injury-related mortality accounting for these factors. METHODS: We followed workers receiving New Mexico workers' compensation benefits (1994-2000) through 2013. Using data from the Panel Study of Income Dynamics, we derived the joint distribution of smoking status and obesity for workers with and without lost-time injuries. We conducted a quantitative bias analysis (QBA) to determine the adjusted relationship of injury and mortality. RESULTS: We observed hazard ratios after adjusting for smoking and obesity of 1.13 for women (95% simulation interval (SI) 0.97 to 1.31) and 1.12 for men (95% SI 1.00 to 1.27). The estimated fully adjusted excess hazard was about half the estimates not adjusted for these factors. CONCLUSIONS: Using QBA to adjust for smoking and obesity reduced the estimated mortality hazard from lost-time injuries and widened the simulation interval. The adjusted estimate still showed more than a 10 percent increase for both women and men. The change in estimates reveals the importance of accounting for these confounders. Of course, the results depend on the methods and assumptions used.

Initiation with menthol cigarettes and youth smoking uptake.

AIMS: We aimed to assess whether young people who first tried menthol cigarettes were at greater risk of becoming established smokers and dependent on nicotine than young people who started smoking non-menthol cigarettes. DESIGN: Cohort study using data from the American Legacy Longitudinal Tobacco Use Reduction Study (ALLTURS), a three-wave longitudinal school-based survey of middle school and high school students. Regression methods were used to assess the association between initiation with menthol cigarettes on risk of transitioning to established smoking or quitting from a non-smoking state at baseline and on nicotine dependence score at wave 3. SETTING: The study was conducted in 83 schools in seven communities and five states in the United States. PARTICIPANTS: Analyses were restricted to youth who participated in all three waves of ALLTURS, were younger than age 17 at baseline, and had initiated smoking during waves 1 or 2 of the study. MEASUREMENTS: Outcomes were indicators of a transition to established smoking or non-smoking from non-established smoking and a nicotine dependence score. The key explanatory variables were an indicator of initiation with menthol cigarettes and indicators for pattern of menthol use over time. FINDINGS: Initiating smoking with menthol cigarettes was associated with progression to established smoking [odds ratio (OR) = 1.80, confidence interval (CI): 1.02-3.16] and higher levels of nicotine dependence (ß = 1.25, CI: 0.1-2.4). CONCLUSION: Young people in the United States who start smoking menthol cigarettes are at greater risk of progression to regular smoking and nicotine dependence than are young people who start smoking non-menthol cigarettes.

Self-reported exposure to policy and environmental influences on smoking cessation and relapse: a 2-year longitudinal population-based study.

Although most smokers want to quit, the long-term success rate of quit attempts remains low; research is needed to understand the policy and environmental influences that can increase the success of cessation efforts. This paper uses regression methods to investigate self-reported exposure to policy and environmental influences on quit attempts, maintenance of a quit attempt for at least 6 months, and relapse in a longitudinal population-based sample, the New York Adult Cohort Survey, followed for 12 months (N = 3,261) and 24 months (N = 1,142). When policy or environmental influence variables were assessed independently of other policy or environmental influence variables, many were significant for at least some of the cessation outcomes. In the full models that included a full set of policy or environmental influence variables, many significant associations became nonsignificant. A number of policies may have an influence on multiple cessation outcomes. However, the effect varies by cessation outcome, and statistical significance is influenced by model specification.