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Introduction: Studies relating alcohol outlet density around homes to alcohol consumption produce mixed results. One possible explanation is that people travel to outlets away from their homes. This study aims to characterise individuals' trips to outlets, describe these trip locations relative to other activities and estimate associations between alcohol outlet density and trips to outlets. Methods: This cross‐sectional study used 2014–2018 household travel data from the Victoria Integrated Survey of Travel and Activity. We estimated the average change in the cumulative travel characteristics associated with each additional trip to bars and liquor stores, accounting for complex trips to multiple destinations. Logistic regression models estimated odds that individuals travelled to outlets in relation to outlet density in their home local government area (LGA). Results: Among 23,512 respondents, 378 (1.6%) travelled to any bar and 79 (0.3%) any liquor store the survey day. Bar trips added 8.2 km (95% confidence interval [CI] 4.6, 11.8) and 18.1 min (95% CI 13.6, 22.6) to cumulative travel; 41% of attended bars were co‐located in participants' home LGA. Greater bar and liquor store density within the home LGA were associated with overall trips to these outlet types. Discussion and Conclusions: Individuals travel beyond their residential area to bars, but travel to liquor stores closer to home. Bar and liquor store density within individuals' home LGA were associated with trips to outlets. Trips to local bars in near home comprised a minority of trips to bars in this sample. Studies of retail alcohol access should account for trips to bars away from home. [ABSTRACT FROM AUTHOR]

Introduction: Individual-, school-, and neighborhood-level support and connectedness may help to mitigate against school suspensions, which have profound health and social consequences. Most research on social connectedness and suspension has focused only on school connectedness, and much less is known about the effects of individual social support and neighborhood-level connectedness on suspension. Methods: We examined associations between all three levels of connectedness and suspension in a cross-sectional analysis of a population-based youth sample in Allegheny County, Pennsylvania. The Healthy Allegheny Teen Survey, a county-wide survey of 1813 male and female youth ages 14 to 19, assessed health risk/protective behaviors through random-digit-dialing in 2014. This survey included validated items evaluating each type of support as well as items assessing lifetime history of suspension. Logistic regression models examined associations between suspension and social support, school connectedness, and neighborhood-level cohesion. Results: In fully adjusted logistic regression models examining associations between suspension and each type of support, youth with high social support had 0.38 times the odds of school suspension compared to youth with low social support (95% confidence interval LCI] 0.19-0.74). High levels of school connectedness and neighborhood-level cohesion were also associated with significantly lower odds of suspension (odds ratio [OR] 0.31, 95% CI 0.18-0.53; OR 0.28, 95% CI 0.16-0.47, respectively). Examining all 3 types of support jointly, school connectedness and neighborhood-level cohesion were significantly inversely related to suspension (OR 0.41, 95% CI 0.24 -0.71; OR 0.41, 95% CI 0.23-0.74, respectively). Conclusions: Programs that foster connectedness at the individual-, school-, and neighborhood-level may help reduce school suspension. [ABSTRACT FROM AUTHOR]