Priorities of Municipal Policy Makers in Relation to Physical Activity and the Built Environment: A Latent Class Analysis

被引:13
|
作者
Wang, Monica L. [1 ]
Goins, Karin Valentine [2 ]
Anatchkova, Milena
Brownson, Ross C. [3 ,4 ]
Evenson, Kelly [5 ]
Maddock, Jay [6 ]
Clausen, Kristian E. [1 ]
Lemon, Stephenie C. [2 ]
机构
[1] Boston Univ, Sch Publ Hlth, Dept Community Hlth Sci, 801 Massachusetts Ave, Boston, MA 02118 USA
[2] Univ Massachusetts, Sch Med, Dept Quantitat Hlth Sci, Div Prevent & Behav Med, Worcester, MA USA
[3] Washington Univ, Sch Med, Div Publ Hlth Sci, St Louis, MO 63130 USA
[4] Washington Univ, Sch Med, Siteman Canc Ctr, St Louis, MO 63130 USA
[5] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA
[6] Texas A&M Sch Publ Hlth, Off Dean, College Stn, TX USA
来源
基金
美国国家卫生研究院;
关键词
policy makers; physical activity; built environment; public policy; URBAN LIVEABILITY; HEALTH; DESIGN; STATE; PREVENTION; EVOLUTION; LESSONS; OBESITY; ISSUES;
D O I
10.1097/PHH.0000000000000289
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: To examine policy makers' public policy priorities related to physical activity and the built environment, identify classes of policy makers based on priorities using latent class analysis, and assess factors associated with class membership. Design: Cross-sectional survey data from municipal officials in 94 cities and towns across 6 US states were analyzed. Participants: Participants (N = 423) were elected or appointed municipal officials spanning public health, planning, transportation/public works, community and economic development, parks and recreation, and city management. Main Outcome Measures: Participants rated the importance of 11 policy areas (public health, physical activity, obesity, economic development, livability, climate change, air quality, natural resource conservation, traffic congestion, traffic safety, and needs of vulnerable populations) in their daily job responsibilities. Latent class analysis was used to determine response patterns and identify distinct classes based on officials' priorities. Logistic regression models assessed participant characteristics associated with class membership. Results: Four classes of officials based on policy priorities emerged: (1) economic development and livability; (2) economic development and traffic concerns; (3) public health; and (4) general (all policy areas rated as highly important). Compared with class 4, officials in classes 1 and 3 were more likely to have a graduate degree, officials in class 2 were less likely to be in a public health job/department, and officials in class 3 were more likely to be in a public health job/department. Conclusions: Findings can guide public health professionals in framing discussions with policy makers to maximize physical activity potential of public policy initiatives, particularly economic development.
引用
收藏
页码:221 / 230
页数:10
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