Int J Health Geogr - How do changes to the built environment influence walking behaviors? A longitudinal study within a university campus in Hong Kong.


{ spatial(1525) area(1432) region(1030) }
{ activ(1452) weight(1219) physic(1104) }
{ chang(1828) time(1643) increas(1301) }
{ data(1737) use(1416) pattern(1282) }
{ method(984) reconstruct(947) comput(926) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ estim(2440) model(1874) function(577) }
{ data(1714) softwar(1251) tool(1186) }
{ risk(3053) factor(974) diseas(938) }
{ data(2317) use(1299) case(1017) }
{ inform(2794) health(2639) internet(1427) }
{ algorithm(1844) comput(1787) effici(935) }
{ research(1218) medic(880) student(794) }
{ use(2086) technolog(871) perceiv(783) }
{ can(774) often(719) complex(702) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ data(3963) clinic(1234) research(1004) }
{ signal(2180) analysi(812) frequenc(800) }
{ gene(2352) biolog(1181) express(1162) }
{ patient(1821) servic(1111) care(1106) }
{ health(1844) social(1437) communiti(874) }
{ use(1733) differ(960) four(931) }
{ model(3404) distribut(989) bayesian(671) }
{ measur(2081) correl(1212) valu(896) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ treatment(1704) effect(941) patient(846) }
{ error(1145) method(1030) estim(1020) }
{ clinic(1479) use(1117) guidelin(835) }
{ research(1085) discuss(1038) issu(1018) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ ehr(2073) health(1662) electron(1139) }
{ analysi(2126) use(1163) compon(1037) }
{ result(1111) use(1088) new(759) }
{ imag(1947) propos(1133) code(1026) }
{ system(1976) rule(880) can(841) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }


CKGROUND: Previous studies testing the association between the built environment and walking behavior have been largely cross-sectional and have yielded mixed results. This study reports on a natural experiment in which changes to the built environment were implemented at a university campus in Hong Kong. Longitudinal data on walking behaviors were collected using surveys, one before and one after changes to the built environment, to test the influence of changes to the built environment on walking behavior.METHODS: Built environment data are from a university campus in Hong Kong, and include land use, campus bus services, pedestrian network, and population density data collected from campus maps, the university developmental office, and field surveys. Walking behavior data were collected at baseline in March 2012 (n=198) and after changes to the built environment from the same cohort of subjects in December 2012 (n=169) using a walking diary. Geographic information systems (GIS) was used to map walking routes and built environment variables, and compare each subject's walking behaviors and built environment exposure before and after the changes to the built environment. Walking behavior outcomes were changes in: i) walking distance, ii) destination-oriented walking, and iii) walked altitude range. Multivariable linear regression models were used to test for associations between changes to the built environment and changes in walking behaviors.RESULTS: Greater pedestrian network connectivity predicted longer walking distances and an increased likelihood of walking as a means of transportation. The increased use of recreational (vs. work) buildings, largely located at mid-range altitudes, as well as increased population density predicted greater walking distances.Having more bus services and a greater population density encouraged people to increase their walked altitude range.CONCLUSIONS: In this longitudinal study, changes to the built environment were associated with changes in walking behaviors. Use of GIS combined with walking diaries presents a practical method for mapping and measuring changes in the built environment and walking behaviors, respectively. Additional longitudinal studies can help clarify the relationships between the built environment and walking behaviors identified in this natural experiment.

Resumo Limpo

ckground previous studi test associ built environ walk behavior larg crosssect yield mix result studi report natur experi chang built environ implement univers campus hong kong longitudin data walk behavior collect use survey one one chang built environ test influenc chang built environ walk behaviormethod built environ data univers campus hong kong includ land use campus bus servic pedestrian network popul densiti data collect campus map univers development offic field survey walk behavior data collect baselin march n chang built environ cohort subject decemb n use walk diari geograph inform system gis use map walk rout built environ variabl compar subject walk behavior built environ exposur chang built environ walk behavior outcom chang walk distanc ii destinationori walk iii walk altitud rang multivari linear regress model use test associ chang built environ chang walk behaviorsresult greater pedestrian network connect predict longer walk distanc increas likelihood walk mean transport increas use recreat vs work build larg locat midrang altitud well increas popul densiti predict greater walk distanceshav bus servic greater popul densiti encourag peopl increas walk altitud rangeconclus longitudin studi chang built environ associ chang walk behavior use gis combin walk diari present practic method map measur chang built environ walk behavior respect addit longitudin studi can help clarifi relationship built environ walk behavior identifi natur experi

Resumos Similares

Int J Health Geogr - Associations of supermarket accessibility with obesity and fruit and vegetable consumption in the conterminous United States. ( 0,859572323121162 )
Int J Health Geogr - Identifying landscape features associated with Rift Valley fever virus transmission, Ferlo region, Senegal, using very high spatial resolution satellite imagery. ( 0,791330988482175 )
Int J Health Geogr - Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh. ( 0,780279100966292 )
Int J Health Geogr - Modelling the variation of land surface temperature as determinant of risk of heat-related health events. ( 0,778615527873164 )
Int J Health Geogr - Schistosomiasis transmission and environmental change: a spatio-temporal analysis in Porto de Galinhas, Pernambuco--Brazil. ( 0,777596523535597 )
Int J Health Geogr - Land-use and land-cover assessment for the study of lifestyle change in a rural Mexican community: the Maycoba project. ( 0,772648702221275 )
Int J Health Geogr - Spatial distribution and cluster analysis of sexual risk behaviors reported by young men in Kisumu, Kenya. ( 0,77083451531287 )
Int J Health Geogr - Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts. ( 0,768311569781204 )
Int J Health Geogr - Geospatial association of endemicity of ataxic polyneuropathy and highly cyanogenic cassava cultivars. ( 0,765905095767658 )
Int J Health Geogr - A modified version of Moran's I. ( 0,763925274133479 )
Int J Health Geogr - Density estimation and adaptive bandwidths: a primer for public health practitioners. ( 0,763605589112758 )
Spat Spatiotemporal Epidemiol - The rubber plantation environment and Lassa fever epidemics in Liberia, 2008-2012: a spatial regression. ( 0,760694686857609 )
Int J Health Geogr - The effect of spatial aggregation on performance when mapping a risk of disease. ( 0,76029701625366 )
Int J Health Geogr - A high resolution spatial population database of Somalia for disease risk mapping. ( 0,755176137431807 )
Int J Health Geogr - Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors. ( 0,746138515261567 )
Int J Health Geogr - Ecological niche modelling of Hemipteran insects in Cameroon; the paradox of a vector-borne transmission for Mycobacterium ulcerans, the causative agent of Buruli ulcer. ( 0,745689401334188 )
Int J Health Geogr - Hand, foot and mouth disease: spatiotemporal transmission and climate. ( 0,742774682889713 )
Int J Health Geogr - Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. ( 0,737078598537277 )
Int J Health Geogr - A power comparison of generalized additive models and the spatial scan statistic in a case-control setting. ( 0,735946340419556 )
Int J Health Geogr - Agricultural landscape and spatial distribution of Toxoplasma gondii in rural environment: an agent-based model. ( 0,734115261240607 )
Int J Health Geogr - Does context matter for the relationship between deprivation and all-cause mortality? The West vs. the rest of Scotland. ( 0,732802367002034 )
Int J Health Geogr - International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study. ( 0,730889575542055 )
Spat Spatiotemporal Epidemiol - Adjusted significance cutoffs for hypothesis tests applied with generalized additive models with bivariate smoothers. ( 0,726402872267564 )
Int J Health Geogr - The spatial distribution of esophageal and gastric cancer in Caspian region of Iran: an ecological analysis of diet and socio-economic influences. ( 0,725219253844934 )
Neural Comput - Optimal population codes for space: grid cells outperform place cells. ( 0,724959058292754 )
J Integr Bioinform - Inter-dinucleotide distances in the human genome: an analysis of the whole-genome and protein-coding distributions. ( 0,723811008974219 )
Int J Health Geogr - Mapping HIV clustering: a strategy for identifying populations at high risk of HIV infection in sub-Saharan Africa. ( 0,723673942250794 )
Spat Spatiotemporal Epidemiol - Estimating the effects of environmental exposures using a weighted mean of monitoring stations. ( 0,715827743395517 )
Spat Spatiotemporal Epidemiol - The built environment and depressive symptoms among urban youth: A spatial regression study. ( 0,714981062799932 )
Int J Health Geogr - Nonparametric intensity bounds for the delineation of spatial clusters. ( 0,714974086873803 )
Int J Health Geogr - Modeling the spatial distribution of Chagas disease vectors using environmental variables and people?s knowledge. ( 0,7098509513972 )
Spat Spatiotemporal Epidemiol - Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research. ( 0,709283890004955 )
Spat Spatiotemporal Epidemiol - Spatio-temporal epidemiology: principles and opportunities. ( 0,708131103781436 )
Int J Health Geogr - Alcohol outlets and clusters of violence. ( 0,705279678959056 )
Int J Health Geogr - A spatial approach for the epidemiology of antibiotic use and resistance in community-based studies: the emergence of urban clusters of Escherichia coli quinolone resistance in Sao Paulo, Brasil. ( 0,69996494107453 )
Spat Spatiotemporal Epidemiol - A spatial measure of neighborhood level racial isolation applied to low birthweight, preterm birth, and birthweight in North Carolina. ( 0,699089478670277 )
Int J Health Geogr - A country bug in the city: urban infestation by the Chagas disease vector Triatoma infestans in Arequipa, Peru. ( 0,698014936636177 )
Int J Health Geogr - Smart density: A more accurate method of measuring rural residential density for health-related research. ( 0,696230990799023 )
Spat Spatiotemporal Epidemiol - Statistical methods for bivariate spatial analysis in marked points. Examples in spatial epidemiology. ( 0,691374997515392 )
Int J Health Geogr - Demarcation of local neighborhoods to study relations between contextual factors and health. ( 0,690744483588313 )
Int J Health Geogr - A ubiquitous method for street scale spatial data collection and analysis in challenging urban environments: mapping health risks using spatial video in Haiti. ( 0,687597370113477 )
Spat Spatiotemporal Epidemiol - How to choose geographical units in ecological studies: proposal and application to campylobacteriosis. ( 0,686721532713983 )
Int J Health Geogr - Highways and outposts: economic development and health threats in the central Brazilian Amazon region. ( 0,685297783551708 )
Spat Spatiotemporal Epidemiol - Prostate cancer incidence in light of the spatial distribution of another screening-detectable cancer. ( 0,683684017017692 )
Spat Spatiotemporal Epidemiol - Racial residential segregation impacts on low birth weight using improved neighborhood boundary definitions. ( 0,683660737933342 )
Int J Health Geogr - Terra and Aqua satellites track tiger mosquito invasion: modelling the potential distribution of Aedes albopictus in north-eastern Italy. ( 0,680722897603506 )
Int J Health Geogr - Analysis of matched geographical areas to study potential links between environmental exposure to oil refineries and non-Hodgkin lymphoma mortality in Spain. ( 0,68007565759517 )
Int J Health Geogr - A probabilistic sampling method (PSM) for estimating geographic distance to health services when only the region of residence is known. ( 0,679382230904337 )
Int J Health Geogr - Urban sprawl, obesity, and cancer mortality in the United States: cross-sectional analysis and methodological challenges. ( 0,677314005232821 )
Int J Health Geogr - Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data. ( 0,675763589672421 )
Int J Health Geogr - Modeling spatial accessibility to parks: a national study. ( 0,675030723440914 )
Int J Health Geogr - Spatial epidemiology of eastern equine encephalitis in Florida. ( 0,673222556449967 )
Int J Health Geogr - Racial differences in the built environment--body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods. ( 0,67265457630989 )
Int J Health Geogr - How well do modelled routes to school record the environments children are exposed to? A cross-sectional comparison of GIS-modelled and GPS-measured routes to school. ( 0,672190373112213 )
Int J Health Geogr - Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina. ( 0,672099348132807 )
Int J Health Geogr - Particulate air pollution and health inequalities: a Europe-wide ecological analysis. ( 0,671161065617092 )
Int J Health Geogr - Developing the atlas of cancer in Queensland: methodological issues. ( 0,670979350675191 )
Int J Health Geogr - Outdoor air pollution, subtypes and severity of ischemic stroke--a small-area level ecological study. ( 0,666270215729034 )
Int J Health Geogr - Feasibility and utility of mapping disease risk at the neighbourhood level within a Canadian public health unit: an ecological study. ( 0,663763042893238 )
Int J Health Geogr - Global spatiotemporal and genetic footprint of the H5N1 avian influenza virus. ( 0,660656920541061 )
Int J Health Geogr - A novel tool for assessing and summarizing the built environment. ( 0,657918225287145 )
Int J Health Geogr - Comparing self-identified and census-defined neighborhoods among adolescents using GPS and accelerometer. ( 0,657324117361786 )
Int J Health Geogr - Identification and location of hot and cold spots of treated prevalence of depression in Catalonia (Spain). ( 0,656000159401123 )
Int J Health Geogr - Associations between street connectivity and active transportation. ( 0,653725946560594 )
Int J Health Geogr - Spatial pattern of body mass index among adults in the diabetes study of Northern California (DISTANCE). ( 0,653016512758829 )
Int J Health Geogr - Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model. ( 0,652910500768838 )
Spat Spatiotemporal Epidemiol - Robust assessment of spatial non-stationarity in model associations related to pediatric mortality due to diarrheal disease in Brazil. ( 0,6525007648067 )
Int J Health Geogr - Retrospective space-time analysis of H5N1 Avian Influenza emergence in Thailand. ( 0,650538921497634 )
Int J Health Geogr - Effects of georeferencing effort on mapping monkeypox case distributions and transmission risk. ( 0,647427431746086 )
Spat Spatiotemporal Epidemiol - Spatial patterns of human papillomavirus-associated cancers within the state of Minnesota, 1998-2007. ( 0,646021113059418 )
Int J Health Geogr - Older adults' transportation walking: a cross-sectional study on the cumulative influence of physical environmental factors. ( 0,645404015997558 )
Int J Health Geogr - Spatial-explicit modeling of social vulnerability to malaria in East Africa. ( 0,644575976648012 )
Int J Health Geogr - Spatio-temporal patterns of bladder cancer incidence in Utah (1973-2004) and their association with the presence of toxic release inventory sites. ( 0,643852487999163 )
Int J Health Geogr - MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease. ( 0,643424255932373 )
J Med Syst - A small-area study of environmental risk assessment of outdoor falls. ( 0,642806045494551 )
Int J Health Geogr - Mapping heatwave health risk at the community level for public health action. ( 0,639622122044674 )
Int J Health Geogr - Can a deprivation index be used legitimately over both urban and rural areas? ( 0,639487130582273 )
Spat Spatiotemporal Epidemiol - Spatio-temporal clustering of the incidence of schizophrenia in Quebec, Canada from 2004 to 2007. ( 0,639273867779621 )
Int J Health Geogr - An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE). ( 0,635285362875145 )
Int J Health Geogr - The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health. ( 0,634591711265415 )
Spat Spatiotemporal Epidemiol - Risk factor modelling of the spatio-temporal patterns of highly pathogenic avian influenza (HPAIV) H5N1: a review. ( 0,633588964886783 )
Spat Spatiotemporal Epidemiol - Spatial prevalence and associations among respiratory diseases in Maine. ( 0,633331041685607 )
Comput Biol Chem - DNA clustering and genome complexity. ( 0,633074342087816 )
Geospat Health - Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications. ( 0,633035105933992 )
Spat Spatiotemporal Epidemiol - Statistical power of disease cluster and clustering tests for rare diseases: a simulation study of point sources. ( 0,632389210676635 )
Int J Health Geogr - Relevance of the type III error in epidemiological maps. ( 0,632381531735646 )
Int J Health Geogr - Potential corridors and barriers for plague spread in Central Asia. ( 0,631859677489672 )
Spat Spatiotemporal Epidemiol - Generalizing the spatial relative risk function. ( 0,631472853695392 )
Int J Health Geogr - A geographic analysis of population density thresholds in the influenza pandemic of 1918-19. ( 0,630644187113311 )
Spat Spatiotemporal Epidemiol - Spatial and statistical methodologies to determine the distribution of dengue in Brazilian municipalities and relate incidence with the Health Vulnerability Index. ( 0,630321497725688 )
Int J Health Geogr - Creating a replicable, valid cross-platform buffering technique: the sausage network buffer for measuring food and physical activity built environments. ( 0,629959076441628 )
Spat Spatiotemporal Epidemiol - Exploring hotspots of pneumococcal pneumonia and potential impacts of ejecta dust exposure following the Christchurch earthquakes. ( 0,627959794900058 )
Spat Spatiotemporal Epidemiol - Violent crime in San Antonio, Texas: an application of spatial epidemiological methods. ( 0,627775963717973 )
Spat Spatiotemporal Epidemiol - Spatial error in geocoding physician location data from the AMA Physician Masterfile: implications for spatial accessibility analysis. ( 0,625961520856213 )
J. Med. Internet Res. - Using a geolocation social networking application to calculate the population density of sex-seeking gay men for research and prevention services. ( 0,625784364705325 )
Int J Health Geogr - Enabling methods for community health mapping in developing countries. ( 0,62577573079918 )
Int J Health Geogr - The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies. ( 0,62349820744523 )
Int J Health Geogr - Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis. ( 0,62329893597243 )
Int J Health Geogr - An application of the edge effect in measuring accessibility to multiple food retailer types in southwestern Ontario, Canada. ( 0,620673676441067 )
Int J Health Geogr - The proportion of youths' physical inactivity attributable to neighbourhood built environment features. ( 0,618220003462878 )