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This study aims to examine the (a) probability of transition between stages of alcohol involvement and (b) influence of tobacco use and nicotine dependence on transitions. Data came from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. Latent transition analysis estimated the probability of transitioning between stages of alcohol involvement across waves and the impact of tobacco use and nicotine dependence at Wave 1 on transitions. Males reporting current tobacco use but no dependence at Wave 1 were more likely to progress from No Problems to Moderate Problems (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI] [1.44, 2.22]) and from No Problems to Severe Problems (aOR = 2.44; 95% CI [1.25, 4.77]) than nontobacco users. Females reporting current tobacco use but no dependence were more likely to progress from No Problems to Moderate Problems (aOR = 2.00; 95% CI [1.37, 2.94]) and from No Problems to Severe Problems (aOR = 2.87; 95% CI [1.34, 6.13]). Females reporting current tobacco use and dependence were more likely than females not using tobacco to transition from Moderate to No Problems (aOR = 2.10; 95% CI [1.04, 4.22]). Results suggest that tobacco use is a preceding correlate of progression in alcohol involvement among males and females. Among females, tobacco use and nicotine dependence are also related to alcohol involvement recovery.

Although tobacco smoking, pan chewing and alcohol drinking are important risk factors for head and neck cancer (HNC), the HNC risks conferred by products available in Nepal for these habits are unknown. We assessed the associations of tobacco smoking, chewing habits, and alcohol drinking with HNC risk in Nepal. A case–control study was conducted in Nepal with 549 incident HNC cases and 601 controls. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression adjusting for potential confounders. We observed increased HNC risk for tobacco smoking (OR: 1.54; 95% CI: 1.14, 2.06), chewing habits (OR: 2.39; 95% CI: 1.77, 3.23), and alcohol drinking (OR: 1.57; 95% CI: 1.14, 2.18). The population attributable fraction (PAF) was 24.3% for tobacco smoking, 39.9% for chewing habits and 23.0% for alcohol drinking. Tobacco smoking, chewing habits, and alcohol drinking might be responsible for 85.3% of HNC cases. Individuals who smoked tobacco, chewed products and drank alcohol had a 13‐fold increase in HNC risk (OR: 12.83; 95% CI: 6.91, 23.81) compared to individuals who did not have any of these habits. Both high frequency and long duration of these habits were strong risk factors for HNC among the Nepalese with clear dose–response trends. Preventive strategies against starting these habits and support for quitting these habits are necessary to decrease the incidence of HNC in Nepal.