Pierce J Rush, Denison Anne V, Arif Ahmed A, Rohrer James E
Amarillo Bi-City-County Health District, Amarillo, Texas, USA.
J Community Health. 2006 Aug;31(4):289-302. doi: 10.1007/s10900-006-9014-8.
We tested the hypothesis that living near a walking or cycling trail was associated with greater odds of walking. This has been previously studied in healthy and unselected populations, but to our knowledge has not been studied in patients attending community clinics. A cross-sectional survey was completed by 1211 persons in five community clinics that serve poor populations. We performed univariate analysis and developed a multivariate logistic regression model for walking adjusting for 12 independent variables including self-rated health, frequent mental distress, lifestyle and demographic variables, and environmental characteristics of the neighborhood including perceived proximity to a walking or cycling trail. Compared to those who reported not living close to a trail, persons who reported living near a trail were more likely to meet recommended levels of walking of at least 30 minutes fives times per week (unadjusted odds ratio = 1.49, 95% confidence intervals = 1.04-2.13). In the multivariate model, male gender (unadjusted odds ratio = 1.63, 95% confidence intervals = 1.15-2.30), having three or more convenient destinations (unadjusted odds ratio = 1.78, 95% confidence intervals = 1.37-2.32), and living near a trail (unadjusted odds ratio = 1.45, 95% confidence intervals = 1.01-2.09) were positively associated with walking at statistically significant levels. The odds of walking were lower in non-Hispanic blacks (odds ratio = 0.59, 95% confidence intervals = 0.40-0.87) and current smokers (odds ratio = 0.66, 95% confidence intervals = 0.57-0.76). For patients attending community clinics, environmental strategies to encourage walking may include mixed-land-use neighborhoods and construction of trails.
居住在步行或自行车道附近与更高的步行几率相关。此前已在健康人群和未经过挑选的人群中对此进行过研究,但据我们所知,尚未在社区诊所的患者中进行过研究。一项横断面调查由为贫困人口服务的五家社区诊所的1211人完成。我们进行了单变量分析,并建立了一个多变量逻辑回归模型来分析步行情况,该模型对12个独立变量进行了调整,这些变量包括自我评估的健康状况、频繁的精神困扰、生活方式和人口统计学变量,以及社区的环境特征,包括感知到的与步行或自行车道的距离。与那些报告不住在步道附近的人相比,报告住在步道附近的人更有可能达到每周至少五次、每次至少30分钟的推荐步行水平(未调整的优势比 = 1.49,95%置信区间 = 1.04 - 2.13)。在多变量模型中,男性(未调整的优势比 = 1.63,95%置信区间 = 1.15 - 2.30)、有三个或更多便利目的地(未调整的优势比 = 1.78,95%置信区间 = 1.37 - 2.32)以及住在步道附近(未调整的优势比 = 1.45,95%置信区间 = 1.01 - 2.09)在统计学显著水平上与步行呈正相关。非西班牙裔黑人(优势比 = 0.59,95%置信区间 = 0.40 - 0.87)和当前吸烟者(优势比 = 0.66,95%置信区间 = 0.57 - 0.76)的步行几率较低。对于在社区诊所就诊的患者,鼓励步行的环境策略可能包括混合土地利用社区和步道建设。