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Purpose: To identify trajectories of smoking behaviors of a cohort of youth followed through young adulthood from 2000 to 2013. Design: The Minnesota Adolescent Community Cohort study, a population-based cohort study. Setting: Nationwide, originating in the Midwestern United States. Participants: Cohort of youth surveyed for 14 years beginning at ages 12 to 16 (N = 4241 at baseline; 59% recruitment rate). Measures: Main variable of interest was the number of days smoked in the past 30 days. Also included time-varying and time-invariant covariates. Analysis: We utilized growth mixture modeling to group individuals into trajectories over time. Results: We identified 5 distinct trajectories: nonsmokers (59.5%), early-onset regular smokers (14.2%), occasional smokers (11.5%), late-onset regular smokers (9.4%), and quitters (5.3%). Adjusted models showed that early- and late-onset regular smokers (compared to nonsmokers) had lower odds of attending or graduating from a 4-year college ( P < .05). Participants in all smoking classes compared to nonsmokers had greater odds of having more close friends who smoked ( P < .05). Conclusion: Our results show that individuals in their teens through young adulthood can be classified into 5 smoking trajectories. More people in this age range remained abstainers than found in most previous studies; however, a sizable group was identified as regular smokers by the time they reached young adulthood. Interventions targeted at teens, including those that address social and environmental influences, are clearly still needed to prevent escalation of smoking as they move toward young adulthood.

Purpose To understand the trade-offs, defined as compromises or decisions students must make to prioritize one important need over another, as a result of economic constraints, food insecure (FI) college students experience and the perceived impact of these challenges on health, well-being, and academic achievement. Design 8 Semi-structured focus groups. Setting Seven 2- and 4-year Minnesota colleges. Participants 53 students initially screening positive for FI. Method The focus groups were audio-recorded and transcribed verbatim. Thematic analysis, a systematic approach for identifying and analyzing patterns across qualitative data, was used through four analysis phases to identify themes and categories. Results We identified five themes within trade-offs: sacrificing food, missing out on relationships, sacrificing academic studies, choosing between basic needs, and maintaining physical and mental well-being. The trade-offs students described were multifaceted, caused notable stress and worry, and presented challenges to students' well-being. Conclusion This study provides evidence on the complexities of FI among students and details on what students may be sacrificing as a result of making trade-offs. Understanding the trade-offs students are experiencing can help college staff to prioritize which issues to focus on to improve student health and academic performance.

OBJECTIVE: Our objectives were to explore attitudes regarding food retail policy and government regulation among managers of small food stores and examine whether manager views changed due to the 2014 Minneapolis Staple Foods Ordinance, a city policy requiring retailers to stock specific healthy products. DESIGN: Manager interviewer-administered surveys were used to assess views on food retail policy four times from 2014 to 2017. We examined baseline views across manager and store and neighbourhood characteristics using cross-sectional regression analyses and examined changes over time using mixed regression models. In 2017, open-ended survey questions asked about manager insights on the Minneapolis Staple Foods Ordinance. SETTING: Minneapolis, MN, where the ordinance was enacted, and St. Paul, MN, a control community, USA. PARTICIPANTS: Managers from 147 small food retail stores. RESULTS: At baseline, 48 % of managers were likely to support a policy requiring stores to stock healthy foods/beverages, 67·5 % of managers were likely to support voluntary programmes to help retailers stock healthy foods and 23·7 % agreed government regulation of business is good/necessary. There was a significant increase in overall support for food retail policies and voluntary programmes from 2014 to 2017 (P < 0·01); however, neither increase differed by city, suggesting no differential impact from the ordinance. Minneapolis store managers reported some challenges with ordinance compliance and offered suggestions for how local government could provide support. CONCLUSIONS: Findings suggest that managers of small food retail stores are becoming increasingly amenable to healthy food policies; yet, challenges need to be addressed to ensure healthy food is available to all customers.

We describe a multi‐step method of coding the strength of 18 alcohol policies included in the Alcohol Policy Information System for each of the 50 states. After thoroughly reviewing each policy area, we chose components that were most important in categorizing the strength or restrictiveness of the policy using the following criteria: overall reach, enforceability, and implementation. We determined a unique coding scheme for each policy area. The total number of categories per policy area ranged from two to six, with categories numbered in an ordered sequence from least to most restrictive. We provide three examples of our coding schemes: Keg Registration, Underage Possession, and Sunday Sales. We also rank the states on their alcohol policy sum score. This study demonstrates how alcohol policies can be measured quantitatively, an important step for assessing the effects of alcohol policies on various outcomes.