Population Health Metrics 几区-刊鹿论文编译

Probabilistic walking models using built environment and sociodemographic predictors

Abstract:

BackgroundIndividual sociodemographic and home neighborhood built environment (BE) factors influence the probability of engaging in health-enhancing levels of walking or moderate-to-vigorous physical activity (MVPA). Methods are needed to parsimoniously model the associations.MethodsParticipants included 2392 adults drawn from a community-based twin registry living in the Seattle region. Objective BE measures from four domains (regional context, neighborhood composition, destinations, transportation) were taken for neighborhood sizes of 833 and 1666 road network meters from home. Hosmer and Lemeshow’s methods served to fit logistic regression models of walking and MVPA outcomes using sociodemographic and BE predictors. Backward elimination identified variables included in final models, and comparison of receiver operating characteristic (ROC) curves determined model fit improvements.ResultsBuilt environment variables associated with physical activity were reduced from 86 to 5 or fewer. Sociodemographic and BE variables from all four BE domains were associated with activity outcomes but differed by activity type and neighborhood size. For the study population, ROC comparisons indicated that adding BE variables to a base model of sociodemographic factors did not improve the ability to predict walking or MVPA.ConclusionsUsing sociodemographic and built environment factors, the proposed approach can guide the estimation of activity prediction models for different activity types, neighborhood sizes, and discrete BE characteristics. Variables associated with walking and MVPA are population and neighborhood BE-specific.

Author Listing： Anne Vernez Moudon;Ruizhu Huang;Orion T. Stewart;Hannah Cohen-Cline;Carolyn Noonan;Philip M. Hurvitz;Glen E. Duncan

Volume： 17

Pages： None

DOI： 10.1186/s12963-019-0186-8

Language： English

Journal： Population Health Metrics

Population Health Metrics

POPUL HEALTH METR

影响因子：2.5

是否综述期刊：否

是否OA：是

是否预警：不在预警名单内

发行时间：-

ISSN：1478-7954

发刊频率：-

收录数据库：Scopus收录/DOAJ开放期刊

出版国家/地区：United Kingdom

出版社：BMC

期刊介绍

年发文量	36
国人发稿量	5
国人发文占比	15%
自引率	4.0%
平均录取率	-
平均审稿周期	29 Weeks
版面费	US$2390
偏重研究方向	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
期刊官网	http://www.pophealthmetrics.com/
投稿链接	-

质量指标占比

研究类文章占比	OA被引用占比	撤稿占比	出版后修正文章占比
97.22%	100.00%	0.00%	0.00%

预警情况

时间	预警情况
2025年03月发布的2025版	不在预警名单中
2024年02月发布的2024版	不在预警名单中
2023年01月发布的2023版	不在预警名单中
2021年12月发布的2021版	不在预警名单中
2020年12月发布的2020版	不在预警名单中

JCR分区 WOS分区等级：Q2区

版本	按学科	分区
WOS期刊SCI分区（2021-2022年最新版）
	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH	Q2

中科院分区

版本	大类学科	小类学科	Top期刊	综述期刊
	医学 2区	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生 2区	否	否
2021年12月升级版	医学 3区	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生 3区	否	否
2020年12月旧的升级版	医学 3区	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生 2区	否	否
2022年12月最新升级版	医学 2区	PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生 1区	否	否