Active living-oriented zoning codes and cardiometabolic conditions across the lifespan

被引:2
|
作者
Zenk, Shannon N. [1 ,2 ]
Pugach, Oksana [3 ]
Chriqui, Jamie F. [3 ,4 ]
Wing, Coady [5 ]
Raymond, Dorrie [6 ]
Tarlov, Elizabeth [7 ]
Sheridan, Bethany [6 ]
Jones, Kelly K. [2 ]
Slater, Sandy J. [8 ]
机构
[1] NINR, Bethesda, MD 20892 USA
[2] Natl Inst Minor Hlth & Hlth Dispar, Div Intramural Res, Bethesda, MD USA
[3] Univ Illinois, Inst Hlth Res & Policy, Methodol Res Core, Chicago, IL USA
[4] UIC, Hlth Policy & Adm Div, Chicago, IL USA
[5] Indiana Univ, Sch Publ & Environm Affairs, Bloomington, IN USA
[6] Athenahlth Inc, Watertown, MA USA
[7] UIC, Dept Hlth Populat Nursing Sci, Coll Nursing, Chicago, IL USA
[8] Concordia Univ Mequon, Dept Pharmaceut & Adm Sci, Sch Pharm, Mequon, WI USA
关键词
Policy; Zoning; Active living; Obesity; Hypertension; Hyperlipidemia; PHYSICAL-ACTIVITY; CLAIMS;
D O I
10.1093/tbm/ibab157
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Environments that make it easier for people to incorporate physical activity into their daily life may help to reduce high rates of cardiometabolic conditions. Local zoning codes are a policy and planning tool to create more walkable and bikeable environments. This study evaluated relationships between active living-oriented zoning code environments and cardiometabolic conditions (body mass index, hyperlipidemia, hypertension). The study used county identifiers to link electronic health record and other administrative data for a sample of patients utilizing primary care services between 2012 and 2016 with county-aggregated zoning code data and built environment data. The analytic sample included 7,441,991 patients living in 292 counties in 44 states. Latent class analysis was used to summarize municipal- and unincorporated county-level data on seven zoning provisions (e.g., sidewalks, trails, street connectivity, mixed land use), resulting in classes that differed in strength of the zoning provisions. Based on the probability of class membership, counties were categorized as one of four classes. Linear and logistic regression models estimated cross-sectional associations with each cardiometabolic condition. Models were fit separately for youth (aged 5-19), adults (aged 20-59), and older adults (aged 60+). Little evidence was found that body mass index in youth, adults, or older adults or the odds of hyperlipidemia or hypertension in adults or older adults differed according to the strength of active living-oriented zoning. More research is needed to identify the health impacts of zoning codes and whether alterations to these codes would improve population health over the long term.
引用
收藏
页码:595 / 600
页数:6
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