首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >The impact of neighborhood on physical activity in the Jackson Heart Study
【24h】

The impact of neighborhood on physical activity in the Jackson Heart Study

机译:杰克逊心脏研究中邻里对体育锻炼的影响

获取原文
获取原文并翻译 | 示例
       

摘要

Physical inactivity is an independent risk factor for many diseases. Most research has focused on individual-level factors for physical activity (PA), but evidence suggests that neighborhood is also important. We examined baseline data collected between 2000 and 2004 from 5236 participants in the Jackson Heart Study to determine the effects of neighborhood on 2 types of PA: Active Living (AL), and Sports and Exercise (Sport) in an all-African American cohort. Participants were georeferenced and data from individual baseline questionnaires and US Census were analyzed using descriptive, bivariate, and multilevel models. In both types of PA, neighborhood factors had an independent and additive effect on AL and Sport. Living in an urban (p=0.003) or neighborhood with a higher percentage of residents with less than a high school education (p < 0.001) was inversely associated with AL. There was an inverse interaction effect between individual and lower neighborhood education (p=0.01), as well as between age and urban neighborhoods (p=0.02) on AL. Individual level education (OR=1.30) and per capita income (OR=1.07) increased the odds of moderate-to-high sports. Future studies should focus on what contextual aspects of urban or less educated neighborhoods are influential in determining PA, as well as longitudinal multilevel analyses of neighborhood effects on PA. (C) 2016 Elsevier Inc. All rights reserved.
机译:缺乏运动是许多疾病的独立危险因素。大多数研究集中于个人水平的体育活动(PA)因素,但证据表明,邻居也很重要。我们检查了2000年至2004年之间从杰克逊心脏研究的5236名参与者那里收集的基线数据,以确定邻域对2种类型的PA的影响:全非美国队列中的积极生活(AL)和体育锻炼(Sport)。使用地理信息系统对参与者进行地理参考,并使用描述性,双变量和多层次模型分析来自各个基线调查表和美国人口普查的数据。在两种类型的PA中,邻域因素对AL和Sport都有独立的累加作用。居住在市区(p = 0.003)或居民中高中学历以下人口比例较高(p <0.001)的社区与AL呈负相关。个体和低邻里教育之间(p = 0.01),以及年龄和城市邻里教育之间(p = 0.02)具有相反的交互作用。个人水平的教育(OR = 1.30)和人均收入(OR = 1.07)增加了中高水平运动的几率。未来的研究应关注城市或受教育程度较低的社区的哪些背景因素对确定PA的影响,以及社区对PA影响的纵向多层次分析。 (C)2016 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号