Ragaini Bruna S, Sharman Melanie J, Lyth Anna, Jose Kim A, Blizzard Leigh, Peterson Corey, Johnston Fay H, Palmer Andrew, Williams Julie, Marshall Elaine A, Morse Megan, Cleland Verity J
Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, Tasmania, 7000, Australia.
RED Sustainability Consultants, 54 Sandy Bay Road, Hobart, Tasmania, 7004, Australia.
Pilot Feasibility Stud. 2021 Dec 10;7(1):217. doi: 10.1186/s40814-021-00951-8.
Public transport users often accumulate more physical activity than motor vehicle users, but most studies have been conducted in large metropolitan areas with multiple public transport options with limited knowledge of the relationship in regional and rural areas. In a regional city, this pilot study aimed to (1) test the feasibility of preliminary hypotheses to inform future research, (2) test the utility of survey items, and (3) establish stakeholder engagement.
Data were collected via a cross-sectional online survey of 743 Tasmanian adults. Physical activity outcomes were walking (min/week), total moderate- to vigorous-intensity physical activity (min/week) and attainment of physical activity guidelines (yes/no). Transport variables were frequency of public and private transport use per week. Truncated and log binomial regression examined associations between public/private transport use and physical activity.
Neither frequency of public nor private transport use was associated with minutes of walking (public transport: B - 24.4, 95% CI: - 110.7, 61.9; private transport: B - 1.1, 95% CI: - 72.4, 70.1), minutes of total physical activity (public transport: B - 90.8, 95% CI: - 310.0, 128.5; private transport: B 0.4, 95% CI: - 134.0, 134.9) or not meeting physical activity guidelines (public transport: RR 1.02, 95%CI: 0.95, 1.09; private transport: RR 1.02, 95%CI: 0.96, 1.08).
The hypothesis that public transport users would be more physically active than private transport users was not supported in this pilot study. Stakeholders were engaged and involved in various phases of the research including development of research questions, participant recruitment, and interpretation of findings. Further studies using representative samples and refined measures are warranted to confirm or refute findings.
公共交通使用者通常比机动车使用者积累更多的体力活动,但大多数研究是在拥有多种公共交通选择的大都市地区进行的,对区域和农村地区的这种关系了解有限。在一个区域城市,这项试点研究旨在:(1)检验初步假设以指导未来研究的可行性;(2)测试调查项目的效用;(3)建立利益相关者参与机制。
通过对743名塔斯马尼亚成年人进行横断面在线调查收集数据。体力活动结果包括步行时间(分钟/周)、中度至剧烈强度的总体力活动时间(分钟/周)以及是否达到体力活动指南要求(是/否)。交通变量为每周公共交通和私人交通的使用频率。截断和对数二项回归分析了公共/私人交通使用与体力活动之间的关联。
公共交通使用频率和私人交通使用频率均与步行时间(公共交通:B - 24.4,95%置信区间:- 110.7,61.9;私人交通:B - 1.1,95%置信区间:- 72.4,70.1)、总体力活动时间(公共交通:B - 90.8,95%置信区间:- 310.0,128.5;私人交通:B 0.4,95%置信区间:- 134.0,134.9)或未达到体力活动指南要求(公共交通:相对风险1.02,95%置信区间:0.95,1.09;私人交通:相对风险1.02,95%置信区间:0.96,1.08)无关。
在这项试点研究中,公共交通使用者比私人交通使用者体力活动更多这一假设未得到支持。利益相关者参与了研究的各个阶段,包括研究问题的提出、参与者招募和研究结果的解读。有必要进行进一步的研究,使用代表性样本和完善的测量方法来证实或反驳这些发现。