• Je něco špatně v tomto záznamu ?

Associations of built environment and proximity of food outlets with weight status: Analysis from 14 cities in 10 countries

T. Cochrane, Y. Yu, R. Davey, E. Cerin, KL. Cain, TL. Conway, J. Kerr, LD. Frank, JE. Chapman, MA. Adams, D. Macfarlane, D. Van Dyck, PC. Lai, OL. Sarmiento, J. Troelsen, D. Salvo, R. Reis, J. Mitáš, G. Schofield, N. Owen, JF. Sallis,

. 2019 ; 129 (-) : 105874. [pub] 20191022

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20025462

Grantová podpora
R01 CA127296 NCI NIH HHS - United States
R01 HL067350 NHLBI NIH HHS - United States
R01 CA127296 NCI NIH HHS - United States
G0501287 Medical Research Council - United Kingdom
P30 DK092950 NIDDK NIH HHS - United States

The study aimed to examine associations of neighborhood built environments and proximity of food outlets (BE measures) with body weight status using pooled data from an international study (IPEN Adult). Objective BE measures were calculated using geographic information systems for 10,008 participants (4463 male, 45%) aged 16-66 years in 14 cities. Participants self-reported proximity to three types of food outlets. Outcomes were body mass index (BMI) and overweight/obesity status. Male and female weight status associations with BE measures were estimated by generalized additive mixed models. Proportion (95% CI) of overweight (BMI 25 to <30) ranged from 16.6% (13.1, 19.8) to 41.1% (37.3, 44.7), and obesity (BMI ≥ 30) from 2.9% (1.3, 4.4) to 31.3% (27.7, 34.7), with Hong Kong being the lowest and Cuernavaca, Mexico highest for both proportions. Results differed by sex. Greater street intersection density, public transport density and perceived proximity to restaurants (males) were associated with lower odds of overweight/obesity (BMI ≥ 25). Proximity to public transport stops (females) was associated with higher odds of overweight/obesity. Composite BE measures were more strongly related to BMI and overweight/obesity status than single variables among men but not women. One standard deviation improvement in the composite measures of BE was associated with small reductions of 0.1-0.5% in BMI but meaningful reductions of 2.5-5.3% in the odds of overweight/obesity. Effects were linear and generalizable across cities. Neighborhoods designed to support public transport, with food outlets within walking distance, may contribute to global obesity control.

Behavioural Epidemiology Laboratory Baker Heart and Diabetes Institute Melbourne Australia

Center for Nutrition and Health Research National Institute of Public Health of Mexico Cuernavaca Mexico

Centre for Research and Action in Public Health University of Canberra Canberra Australia

Centre for Sports and Exercise University of Hong Kong Hong Kong China

College of Health Solutions Arizona State University Phoenix USA

Department of Geography University of Hong Kong Hong Kong China

Department of Movement and Sports Sciences Ghent University Belgium

Family Medicine and Public Health University of California San Diego USA

Graduate Program in Urban Management Curitiba Brazil

Human Potential Centre Auckland University of Technology New Zealand

Institute of Active Lifestyle Faculty of Physical Culture Palacký University Olomouc Czech Republic

Institute of Sports Science and Clinical Biomechanics University of Southern Denmark Odense Denmark

Mary MacKillop Institute for Health Research Australian Catholic University Melbourne Australia

Prevention Research Center in St Louis and Center for Diabetes Translation Research Brown School Washington University in St Louis USA

Prevention Research Center in St Louis Brown School Washington University in St Louis St Louis USA

Research Foundation Flanders Belgium

School of Community and Regional Planning University of British Columbia Vancouver Canada

School of Medicine Universidad de los Andes Bogota Colombia

School of Public Health University of Hong Kong Hong Kong China

Therapeutic Goods Administration Department of Health Australia

Urban Design 4 Health Rochester New York USA

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20025462
003      
CZ-PrNML
005      
20201222155215.0
007      
ta
008      
201125s2019 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.ypmed.2019.105874 $2 doi
035    __
$a (PubMed)31654731
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Cochrane, Thomas $u Centre for Research & Action in Public Health, University of Canberra, Canberra, Australia. Electronic address: Tom.Cochrane@canberra.edu.au.
245    10
$a Associations of built environment and proximity of food outlets with weight status: Analysis from 14 cities in 10 countries / $c T. Cochrane, Y. Yu, R. Davey, E. Cerin, KL. Cain, TL. Conway, J. Kerr, LD. Frank, JE. Chapman, MA. Adams, D. Macfarlane, D. Van Dyck, PC. Lai, OL. Sarmiento, J. Troelsen, D. Salvo, R. Reis, J. Mitáš, G. Schofield, N. Owen, JF. Sallis,
520    9_
$a The study aimed to examine associations of neighborhood built environments and proximity of food outlets (BE measures) with body weight status using pooled data from an international study (IPEN Adult). Objective BE measures were calculated using geographic information systems for 10,008 participants (4463 male, 45%) aged 16-66 years in 14 cities. Participants self-reported proximity to three types of food outlets. Outcomes were body mass index (BMI) and overweight/obesity status. Male and female weight status associations with BE measures were estimated by generalized additive mixed models. Proportion (95% CI) of overweight (BMI 25 to <30) ranged from 16.6% (13.1, 19.8) to 41.1% (37.3, 44.7), and obesity (BMI ≥ 30) from 2.9% (1.3, 4.4) to 31.3% (27.7, 34.7), with Hong Kong being the lowest and Cuernavaca, Mexico highest for both proportions. Results differed by sex. Greater street intersection density, public transport density and perceived proximity to restaurants (males) were associated with lower odds of overweight/obesity (BMI ≥ 25). Proximity to public transport stops (females) was associated with higher odds of overweight/obesity. Composite BE measures were more strongly related to BMI and overweight/obesity status than single variables among men but not women. One standard deviation improvement in the composite measures of BE was associated with small reductions of 0.1-0.5% in BMI but meaningful reductions of 2.5-5.3% in the odds of overweight/obesity. Effects were linear and generalizable across cities. Neighborhoods designed to support public transport, with food outlets within walking distance, may contribute to global obesity control.
650    _2
$a mladiství $7 D000293
650    _2
$a dospělí $7 D000328
650    12
$a index tělesné hmotnosti $7 D015992
650    12
$a vytvořené prostředí $7 D000076624
650    _2
$a průřezové studie $7 D003430
650    _2
$a ženské pohlaví $7 D005260
650    12
$a potraviny $7 D005502
650    _2
$a geografické informační systémy $x statistika a číselné údaje $7 D040362
650    _2
$a lidé $7 D006801
650    12
$a internacionalita $7 D038622
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    12
$a obezita $7 D009765
650    _2
$a charakteristiky bydlení $7 D012111
650    12
$a restaurace $7 D012147
650    _2
$a sexuální faktory $7 D012737
650    _2
$a doprava $x statistika a číselné údaje $7 D014186
650    _2
$a mladý dospělý $7 D055815
651    _2
$a velkoměsta $7 D002947
655    _2
$a časopisecké články $7 D016428
655    _2
$a Research Support, N.I.H., Extramural $7 D052061
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Yu, Yan $u Centre for Research & Action in Public Health, University of Canberra, Canberra, Australia; Therapeutic Goods Administration, Department of Health, Australia. Electronic address: Yan.Yu@health.edu.au.
700    1_
$a Davey, Rachel $u Centre for Research & Action in Public Health, University of Canberra, Canberra, Australia. Electronic address: rachel.davey@canberra.edu.au.
700    1_
$a Cerin, Ester $u Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; School of Public Health, University of Hong Kong, Hong Kong, China. Electronic address: Ester.Cerin@acu.edu.au.
700    1_
$a Cain, Kelli L $u Family Medicine and Public Health, University of California San Diego, USA; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia. Electronic address: kcain@ucsd.edu.
700    1_
$a Conway, Terry L $u Family Medicine and Public Health, University of California San Diego, USA; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia. Electronic address: tlconway@ucsd.edu.
700    1_
$a Kerr, Jacqueline $u Family Medicine and Public Health, University of California San Diego, USA. Electronic address: jkerr@grantdoctor.org.
700    1_
$a Frank, Lawrence D $u School of Community and Regional Planning, University of British Columbia, Vancouver, Canada; Urban Design 4 Health, Rochester, New York, USA. Electronic address: ldfrank@ud4h.com.
700    1_
$a Chapman, James E $u Urban Design 4 Health, Rochester, New York, USA. Electronic address: jchapman@urbandesign4health.com.
700    1_
$a Adams, Marc A $u College of Health Solutions, Arizona State University, Phoenix, USA. Electronic address: marc.adams@asu.edu.
700    1_
$a Macfarlane, Duncan $u Centre for Sports and Exercise, University of Hong Kong, Hong Kong, China. Electronic address: djmac@hku.hk.
700    1_
$a Van Dyck, Delfien $u Department of Movement and Sports Sciences, Ghent University, Belgium; Research Foundation Flanders, Belgium. Electronic address: delfien.vandyck@ugent.be.
700    1_
$a Lai, Poh-Chin $u Department of Geography, University of Hong Kong, Hong Kong, China. Electronic address: pclai@hku.hk.
700    1_
$a Sarmiento, Olga L $u School of Medicine, Universidad de los Andes, Bogota, Colombia. Electronic address: osarmien@uniandes.edu.co.
700    1_
$a Troelsen, Jens $u Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark. Electronic address: JTroelsen@health.sdu.dk.
700    1_
$a Salvo, Deborah $u Prevention Research Center in St. Louis & Center for Diabetes Translation Research, Brown School, Washington University in St. Louis, USA; Center for Nutrition and Health Research, National Institute of Public Health of Mexico, Cuernavaca, Mexico. Electronic address: dsalvo@wustl.edu.
700    1_
$a Reis, Rodrigo $u Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, USA; Graduate Program in Urban Management (PPGTU), Pontifical Catholic University of Paraná (PUCPR), Curitiba, Brazil. Electronic address: reis.rodrigo@wustl.edu.
700    1_
$a Mitáš, Josef $u Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, Olomouc, Czech Republic. Electronic address: josef.mitas@upol.cz.
700    1_
$a Schofield, Grant $u Human Potential Centre, Auckland University of Technology, New Zealand. Electronic address: grant.schofield@aut.ac.nz.
700    1_
$a Owen, Neville $u Behavioural Epidemiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia. Electronic address: Neville.Owen@baker.edu.au.
700    1_
$a Sallis, James F $u Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Family Medicine and Public Health, University of California San Diego, USA. Electronic address: jsallis@ucsd.edu.
773    0_
$w MED00003886 $t Preventive medicine $x 1096-0260 $g Roč. 129, č. - (2019), s. 105874
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31654731 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201222155211 $b ABA008
999    __
$a ok $b bmc $g 1599607 $s 1116148
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 129 $c - $d 105874 $e 20191022 $i 1096-0260 $m Preventive medicine $n Prev Med $x MED00003886
GRA    __
$a R01 CA127296 $p NCI NIH HHS $2 United States
GRA    __
$a R01 HL067350 $p NHLBI NIH HHS $2 United States
GRA    __
$a R01 CA127296 $p NCI NIH HHS $2 United States
GRA    __
$a G0501287 $p Medical Research Council $2 United Kingdom
GRA    __
$a P30 DK092950 $p NIDDK NIH HHS $2 United States
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...