Associations between Walk Score and objective measures of physical activity in urban overweight and obese women
Associations between Walk Score and objective measures of physical activity in urban overweight and obese women
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DOI：
10.1371/journal.pone.0214092
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发表时间：
2019-03-28
期刊：
影响因子：
3.7
通讯作者：
Crouter, Scott E.
中科院分区：
文献类型：
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作者：
Camhi, Sarah M.;Troped, Philip J.;Crouter, Scott E.
这项研究的目的是研究年轻、超重/肥胖的城市女性的步行得分和身体活动之间的关系。项目健康包括45名白人或非裔美国妇女（体重指数31.5 +/- 3.9 kg/m）；年龄26.5±4.6岁；62%是非裔美国人)居住在波士顿地区。加速度计估计轻度体力活动（每分钟100-2019次）和中度至剧烈体力活动（>= 2020 cpm）的步数/天和分钟数/天。步行得分通过分析家庭住址与附近便利设施的接近程度来估计其可步行性。一般线性回归模型估计了总步行得分与身体活动（轻度身体活动、中高强度身体活动、步数、总活动计数、METs）之间的关联，并对体重指数、年龄、种族/民族、季节性、穿着时间、就业和学生身份进行了调整。对于与步行分数（步数/天和步数/分钟）有显著关联的体力活动变量，对步行分数子分数（公园、杂货店、差事、购物、餐饮、文化/娱乐和学校）的回归模型进行了估计。Logistic回归模型根据步行评分估计了达到指南的步数（>= 10,000/天）和中等到高强度体力活动（>= 150min MVPA/周）的几率。参与者的步行得分为63.9 +/- 26.4，每天步行14143 +/- 3934步，每天进行206.2 +/- 66.0分钟的轻度体力活动，每天进行46.7 +/- 17.5分钟的中度至剧烈体力活动。步行评分与步数/天（beta = 51.4, p = 0.01）和步数/分钟（beta = 0.06, p = 0.009）显著正相关，但与轻度体力活动分钟/天、中度至剧烈体力活动、总活动量或METs无关。公园、杂货店、跑腿、购物、用餐/饮酒和文化/娱乐步行得分子得分与步数和步数/分钟显著相关
The purpose of this study was to examine associations between the Walk Score and physical activity in young, overweight/obese urban women. Project Health included 45 White or African American women (BMI 31.5 +/- 3.9 kg/m(2); age 26.5 +/- 4.6 years; 62% African American) living in the Boston area. An accelerometer estimated steps/day and mins/day in light physical activity (100-2019 counts-per-minute) and moderate-to-vigorous-physical activity (>= 2020 cpm). Walk Score was used to estimate the walkability of home address by analyzing proximity to nearby amenities. General linear regression models estimated associations between total Walk Score and physical activity (light physical activity, moderate-to-vigorousphysical activity, steps, total activity counts, METs), adjusting for body mass index, age, race/ethnicity, seasonality, wear time, employment and student status. For physical activity variables that had significant associations with Walk Score (steps/day and steps/min), regression models were estimated for Walk Score sub-scores (parks, grocery, errands, shopping, dining/drinking, culture/entertainment and schools). Logistic regression models estimated the odds of meeting the guidelines for steps (>= 10,000/day) and moderate-to-vigorous-physical activity (>= 150mins MVPA/week) based on Walk Score. Participants had a Walk Score of 63.9 +/- 26.4, took 14,143 +/- 3,934 steps/day, and spent 206.2 +/- 66.0 mins/day in light physical activity and 46.7 +/- 17.5 mins/day in moderate-to-vigorous- physical activity. Walk Score was significantly and positively associated with steps/day (beta = 51.4, p = 0.01) and steps/min (beta = 0.06, p = 0.009) but was not associated with mins/day of light physical activity, moderate-to-vigorous-physical activity, total activity counts or METs. Parks, grocery, errands, shopping, dining/drinking, and culture/entertainment Walk Score sub-scores were significantly associated with steps and steps/min (all p