Plascak Jesse J, Desire-Brisard Tatyana, Mays Darren, Keller-Hamilton Brittney, Rundle Andrew G, Rose Emma, Paskett Electra D, Mooney Stephen J
Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
Prev Med Rep. 2023 Feb 9;32:102131. doi: 10.1016/j.pmedr.2023.102131. eCollection 2023 Apr.
This study tested associations between observed neighborhood physical disorder and tobacco use, alcohol binging, and sugar-sweetened beverage consumption among a large population-based sample from an urban area of the United States. Individual-level data of this cross-sectional study were from adult respondents of the New Jersey Behavioral Risk Factor Surveillance System, 2011-2016 (n = 62,476). Zip code tabulation area-level observed neighborhood physical disorder were from virtual audits of 23,276 locations. Tobacco use (current cigarette smoking or chewing tobacco, snuff, or snus use), monthly binge drinking occasions (5+/4+ drinks per occasion among males/females), and monthly sugar-sweetened beverages consumed were self-reported. Logistic and negative binomial regression models were used to generate odds ratios, prevalence rate ratios (PRR), 95 % confidence intervals (CI) by levels of physical disorder. Compared to the lowest quartile, residence in the second (PRR: 1.16; 95 % CI: 1.03, 1.13), third (PRR: 1.24; 95 % CI: 1.10, 1.40), and fourth (highest) quartile of physical disorder (PRR: 1.24; 95 % CI: 1.10, 1.40) was associated with higher monthly sugar-sweetened beverage consumption. Associations involving tobacco use and alcohol binging were mixed. Observed neighborhood disorder might be associated with unhealthy behaviors, especially sugar-sweetened beverage consumption.
本研究在美国城市地区的一个大型人群样本中，测试了观察到的社区物质环境紊乱与烟草使用、酗酒和含糖饮料消费之间的关联。这项横断面研究的个体层面数据来自2011 - 2016年新泽西行为风险因素监测系统的成年受访者（n = 62,476）。邮政编码分区层面观察到的社区物质环境紊乱情况来自对23,276个地点的虚拟审计。烟草使用（当前吸烟或咀嚼烟草、鼻烟或嚼烟）、每月酗酒次数（男性/女性每次5杯以上/4杯以上）以及每月饮用的含糖饮料数量均为自我报告。采用逻辑回归和负二项回归模型，按物质环境紊乱程度生成比值比、患病率比（PRR）和95%置信区间（CI）。与最低四分位数相比，居住在物质环境紊乱程度第二（PRR：1.16；95% CI：1.03，1.13）、第三（PRR：1.24；95% CI：1.10，1.40）和第四（最高）四分位数与每月较高的含糖饮料消费相关。涉及烟草使用和酗酒的关联较为复杂。观察到的社区紊乱可能与不健康行为有关，尤其是含糖饮料消费。
