Does the neighborhood built environment moderate the effectiveness of a weight-loss intervention for mothers with overweight or obesity? Findings from the Healthy Eating and Active Living Taught at Home (HEALTH) study

Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is...

Full description

Saved in:
Bibliographic Details
Published inThe international journal of behavioral nutrition and physical activity Vol. 19; no. 1; p. 130
Main Authors Gilbert, Amanda S., Salvo, Deborah, Tabak, Rachel G., Haire-Joshu, Debra
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 01.10.2022
BioMed Central
BMC
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss.  METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics.  RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
AbstractList BACKGROUND: Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. CONCLUSIONS: Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food.
Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss.  METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics.  RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
Abstract Background Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss.  Methods Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics.  Results The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. Conclusions Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food.BACKGROUNDWomen of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food.Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.CONCLUSIONSResult show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
Background Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. Methods Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. Results The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. Conclusions Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods. Keywords: Obesity, Built Environment, Health behaviors, Lifestyle intervention, Maternal
ArticleNumber 130
Audience Academic
Author Tabak, Rachel G.
Haire-Joshu, Debra
Gilbert, Amanda S.
Salvo, Deborah
Author_xml – sequence: 1
  givenname: Amanda S.
  surname: Gilbert
  fullname: Gilbert, Amanda S.
– sequence: 2
  givenname: Deborah
  orcidid: 0000-0002-9726-0882
  surname: Salvo
  fullname: Salvo, Deborah
– sequence: 3
  givenname: Rachel G.
  surname: Tabak
  fullname: Tabak, Rachel G.
– sequence: 4
  givenname: Debra
  surname: Haire-Joshu
  fullname: Haire-Joshu, Debra
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36182908$$D View this record in MEDLINE/PubMed
BookMark eNqFk99u0zAUxiM0xP7AC3CBLHGzXWQ4TuLEN6BqdHRSJSQo15YTH7eeEnvYTkf3prwNTrvBOiFQFCU65_d9To6-c5wcGGsgSV5n-DzLavrOZ4RRmmJCUpzltE7vniVHWVGxtKxpffDo_TA59v4a4zyrcfkiOcxpVhOG66Pk50cLHoUVIAN6uWqsW1krUTPoLiAwa-2s6cEE1FsJTgTYsqAUtEGvwYD3yCok0O0oD2lnY0GbAC42g7YGKeuiOKqcR7c6rJBdg9vRKLZsA16HzQd0qY3UZumRcrbfnjID0YXVBk1FiA0kjEST7alortdjZSGG0UUENLM9oNPZdDJfzM6QD4PcvEyeK9F5eHX_PEm-XU4XF7N0_vnT1cVknrY0xyGVVFatVCWmtaS0iDMihIimEZXIsCzKqm4qyErGFJNNrohqBFYyo6VsRRPv_CS52vlKK675jdO9cBtuhebbgnVLLlzQbQe8KphqWF5SqMoCMtYAo6QkDeAMGIE6er3fed0MTQ-yjSN0otsz3e8YveJLu-asJJTVVTQ4vTdw9vsAPvBe-xa6Thiwg-ekrivGcJ6z_6MVwQUpCKERffsEvbaDM3GqI1WyMUzsD7UU8V-1UTZ-Yjua8kn0KmNYyyJS53-h4iWh120MuNKxvic42xNEJsCPsBSD9_zq65d99s3j-f0e3EPeI1DvgNbFoDpQvNVBjDmNX6E7nmE-rhbfrRaPq8W3q8XvopQ8kT64_0P0C5DpKTM
CitedBy_id crossref_primary_10_3389_fpubh_2025_1498450
crossref_primary_10_3390_su16103925
crossref_primary_10_1111_ajo_13943
crossref_primary_10_1007_s11892_023_01529_9
crossref_primary_10_3390_ijerph20095679
crossref_primary_10_1186_s12884_024_06648_z
Cites_doi 10.1001/jama.2017.7092
10.3945/ajcn.111.015289
10.2105/AJPH.83.8.1100
10.1038/ijo.2011.150
10.1002/oby.23003
10.1016/j.ypmed.2007.08.003
10.22004/ag.econ.262116
10.1038/oby.2004.146
10.3945/ajcn.111.012617
10.1146/annurev.publhealth.012809.103604
10.1016/j.dcn.2020.100835
10.1146/annurev-publhealth-040218-043657
10.1016/j.healthplace.2019.02.007
10.1002/oby.21118
10.1161/CIRCULATIONAHA.106.675355
10.1080/09613210801928131
10.2105/AJPH.2013.301597
10.1016/S0749-3797(02)00475-0
10.1016/j.ypmed.2016.12.049.Preserving
10.1016/j.jth.2016.02.010
10.1002/9781118793916
10.1017/S1368980014002523
10.1007/BF00143986
10.1007/s12160-009-9138-z
10.1146/annurev-publhealth-032315-021859
10.1001/jama.2010.1505
10.1016/S0140-6736(11)60813-1
10.1097/FCH.0b013e3181c4e2e5
10.1186/s12966-022-01326-9
10.1016/j.healthplace.2010.05.002
10.1155/2012/932653
10.1186/1476-072X-13-43
10.1016/j.amepre.2004.04.011
10.1016/S0140-6736(07)61260-4
10.1186/s12889-016-3272-x
10.1016/j.pmedr.2016.11.008
10.5888/pcd12.150098
10.1186/s12966-017-0640-6
10.1177/1090198120931788
10.1016/j.socscimed.2009.01.017
10.1093/ajcn/79.3.379
10.1371/journal.pmed.1002415
10.1001/jama.2012.113905
10.1016/j.healthplace.2013.12.008
10.1161/CIRCULATIONAHA.110.969022
10.1016/j.pmedr.2016.10.004
10.24095/hpcdp.37.6.01
10.1146/annurev.publhealth.28.021406.144105
10.1016/j.jand.2017.04.012
10.1016/j.amepre.2005.11.003
10.1186/1471-2458-12-807
10.1097/01.ogx.0000305202.93507.2a
10.1136/bjsm.2009.058701
10.1249/MSS.0b013e31817c67a4
10.1371/journal.pmed.1002817
10.1177/0890117117742999
10.1093/aje/kwr244
10.1200/JCO.2015.61.1095
10.1016/j.amepre.2017.12.012.A
10.1093/epirev/mxm009
10.1186/1479-5868-7-45
10.1016/j.healthplace.2012.05.006
10.1145/2424321.2424374
10.2105/AJPH.2016.303326
10.1016/j.ypmed.2016.11.014
10.1016/j.healthplace.2010.11.010
10.1001/archinte.161.13.1581
10.1016/j.healthplace.2009.09.008
10.1001/jama.2017.16191
10.1542/peds.2005-0058
ContentType Journal Article
Copyright 2022. The Author(s).
COPYRIGHT 2022 BioMed Central Ltd.
2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2022
Copyright_xml – notice: 2022. The Author(s).
– notice: COPYRIGHT 2022 BioMed Central Ltd.
– notice: 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s) 2022
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ISR
3V.
7RQ
7RV
7TS
7X7
7XB
88E
8C1
8FI
8FJ
8FK
8G5
ABUWG
AEUYN
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
GUQSH
K9.
KB0
M0S
M1P
M2O
MBDVC
NAPCQ
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
Q9U
7X8
7S9
L.6
5PM
DOA
DOI 10.1186/s12966-022-01368-z
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Career & Technical Education Database
Nursing & Allied Health Database
Physical Education Index
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Public Health Database
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Central (Alumni)
ProQuest One Sustainability (subscription)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
ProQuest Research Library
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
ProQuest Health & Medical Collection
Medical Database
Research Library
Research Library (Corporate)
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
Research Library Prep
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
Research Library (Alumni Edition)
ProQuest Central China
Physical Education Index
ProQuest Central
ProQuest One Sustainability
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Health & Medical Research Collection
ProQuest Research Library
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Public Health
ProQuest Central Basic
ProQuest One Academic Eastern Edition
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Career and Technical Education
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA

MEDLINE

MEDLINE - Academic
Publicly Available Content Database


Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Open Access Full Text
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Diet & Clinical Nutrition
Education
EISSN 1479-5868
EndPage 130
ExternalDocumentID oai_doaj_org_article_749fb9356e754e19be96252be01e92e8
PMC9526987
A720529654
36182908
10_1186_s12966_022_01368_z
Genre Research Support, U.S. Gov't, P.H.S
Journal Article
Research Support, N.I.H., Extramural
GeographicLocations United States
GeographicLocations_xml – name: United States
GrantInformation_xml – fundername: NHLBI NIH HHS
  grantid: T32 HL130357
– fundername: NIDDK NIH HHS
  grantid: P30 DK092950
– fundername: NIDDK NIH HHS
  grantid: R18DK089461
– fundername: NCCDPHP CDC HHS
  grantid: U48 DP006395
– fundername: NIDDK NIH HHS
  grantid: P30DK092950
– fundername: NIDDK NIH HHS
  grantid: P30 DK056341
– fundername: NIDDK NIH HHS
  grantid: R18 DK089461
– fundername: ACL HHS
  grantid: U48DP006395
– fundername: ;
  grantid: T32 HL130357
– fundername: ;
  grantid: This study was funded by the Centers for Disease Control; Prevention U48DP006395; the National Heart; Lung; Blood Institute (NHLBI) Grant Number T32 HL130357; the National Institute of Diabetes; Digestive; Kidney Diseases of NIH R18DK089461; The National Institute of Diabetes; Digestive; Kidney Diseases Center for Diabetes Translation Research P30DK092950. The funders had no role in data collection; data analysis; or input on the final manuscript.
– fundername: ;
  grantid: R18DK089461; P30DK092950
GroupedDBID ---
0R~
29J
2WC
53G
5GY
5VS
7RQ
7RV
7X7
88E
8C1
8FI
8FJ
8G5
A8Z
AAFWJ
AAHBH
AAJSJ
AASML
AAWTL
AAYXX
ABDBF
ABIVO
ABUWG
ACGFO
ACGFS
ACUHS
ADBBV
ADRAZ
ADUKV
AENEX
AFKRA
AFPKN
AHBYD
AHMBA
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
AZQEC
BAPOH
BAWUL
BCNDV
BENPR
BFQNJ
BMC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
CS3
DIK
DU5
DWQXO
E3Z
EBD
EBLON
EBS
ECGQY
ESTFP
ESX
F5P
FYUFA
GNUQQ
GROUPED_DOAJ
GUQSH
GX1
HMCUK
HYE
IAO
ICU
IHR
INH
INR
IPT
IPY
ISR
ITC
KQ8
M1P
M2O
M48
NAPCQ
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RBZ
RNS
ROL
RPM
RSV
SCM
SOJ
TR2
TUS
UKHRP
WOQ
WOW
XSB
~8M
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
PMFND
3V.
7TS
7XB
8FK
AEUYN
K9.
MBDVC
PKEHL
PQEST
PQUKI
PRINS
Q9U
7X8
7S9
L.6
5PM
PUEGO
ID FETCH-LOGICAL-c630t-d6d7cdf5068d664003222abba7a10d4578b7e1599f9db3f2fba0fd165dcabdca3
IEDL.DBID M48
ISSN 1479-5868
IngestDate Wed Aug 27 00:56:12 EDT 2025
Thu Aug 21 18:39:58 EDT 2025
Fri Jul 11 16:36:41 EDT 2025
Fri Jul 11 10:28:31 EDT 2025
Sat Aug 23 13:28:03 EDT 2025
Tue Jun 17 21:45:21 EDT 2025
Tue Jun 10 20:47:43 EDT 2025
Fri Jun 27 03:44:19 EDT 2025
Thu Aug 14 01:43:17 EDT 2025
Thu Apr 24 22:57:23 EDT 2025
Tue Jul 01 02:20:38 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Maternal
Obesity
Health behaviors
Built Environment
Lifestyle intervention
Language English
License 2022. The Author(s).
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c630t-d6d7cdf5068d664003222abba7a10d4578b7e1599f9db3f2fba0fd165dcabdca3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-9726-0882
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12966-022-01368-z
PMID 36182908
PQID 2725918299
PQPubID 42779
PageCount 1
ParticipantIDs doaj_primary_oai_doaj_org_article_749fb9356e754e19be96252be01e92e8
pubmedcentral_primary_oai_pubmedcentral_nih_gov_9526987
proquest_miscellaneous_2887990339
proquest_miscellaneous_2720424226
proquest_journals_2725918299
gale_infotracmisc_A720529654
gale_infotracacademiconefile_A720529654
gale_incontextgauss_ISR_A720529654
pubmed_primary_36182908
crossref_citationtrail_10_1186_s12966_022_01368_z
crossref_primary_10_1186_s12966_022_01368_z
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2022-10-01
PublicationDateYYYYMMDD 2022-10-01
PublicationDate_xml – month: 10
  year: 2022
  text: 2022-10-01
  day: 01
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle The international journal of behavioral nutrition and physical activity
PublicationTitleAlternate Int J Behav Nutr Phys Act
PublicationYear 2022
Publisher BioMed Central Ltd
BioMed Central
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
– name: BMC
References 1368_CR25
LD Frank (1368_CR69) 2010; 44
SJ Pocock (1368_CR50) 2013
RR Wing (1368_CR19) 2020; 28
BE Saelens (1368_CR79) 2008; 40
G Markus (1368_CR52) 1980
SB Jilcott Pitts (1368_CR45) 2017; 117
MA Papas (1368_CR31) 2007; 29
JF Sallis (1368_CR67) 2019; 41
MA Adams (1368_CR49) 2014; 13
R Ewing (1368_CR55) 2014; 26
V Van Holle (1368_CR65) 2012; 12
1368_CR6
J Boone-Heinonen (1368_CR54) 2010; 7
J Van Cauwenberg (1368_CR66) 2011; 17
LD Frank (1368_CR70) 2004; 27
K Rong (1368_CR10) 2015; 18
AC King (1368_CR41) 2017; 96
JF Sallis (1368_CR32) 2012; 125
WH Dietz (1368_CR8) 2017; 318
JP Block (1368_CR36) 2011; 174
LG Perez (1368_CR43) 2018; 32
A Hruby (1368_CR4) 2016; 106
CS Fox (1368_CR81) 2007; 116
A Arno (1368_CR59) 2016; 16
AE Field (1368_CR5) 2001; 161
D Haire-Joshu (1368_CR20) 2016; 37
KH Bellows-Riecken (1368_CR17) 2008; 46
MA Leddy (1368_CR11) 2008; 1
A Jääskeläinen (1368_CR22) 2011; 35
National Health and Nutrition Examinatory Survey (NHANES) (1368_CR47) 2007
J Kerr (1368_CR58) 2010; 16
K Glanz (1368_CR27) 2010; 31
A Renalds (1368_CR34) 2010; 33
CE Caspi (1368_CR77) 2012; 18
1368_CR18
SL Handy (1368_CR35) 2002; 23
1368_CR48
Y Zheng (1368_CR9) 2017; 318
JF Sallis (1368_CR53) 2009; 68
CL Rock (1368_CR62) 2015; 33
KM Flegal (1368_CR1) 2013; 309
I Nehring (1368_CR12) 2011; 94
LN Borrell (1368_CR3) 2014; 104
S Branje (1368_CR23) 2020; 45
I Janssen (1368_CR80) 2004; 79
S Moffatt (1368_CR28) 2008; 36
S Lisonkova (1368_CR13) 2017; 318
N Heslehurst (1368_CR21) 2019; 16
P Gordon-Larsen (1368_CR56) 2006; 117
Y Linné (1368_CR14) 2004; 12
K Morland (1368_CR37) 2006; 30
AA Gustafson (1368_CR39) 2012; 2012
1368_CR38
JF Sallis (1368_CR78) 2015; 12
J Feng (1368_CR33) 2010; 16
J Kerr (1368_CR40) 2010; 16
M Rao (1368_CR29) 2007; 370
R Ma (1368_CR24) 2017; 14
LK Cobb (1368_CR72) 2015; 23
1368_CR75
MGM Pinho (1368_CR76) 2018; 15
1368_CR30
1368_CR74
JH Goldberg (1368_CR60) 2007; 28
LB Christiansen (1368_CR68) 2016; 3
1368_CR73
DD Mendez (1368_CR46) 2016; 4
BA Swinburn (1368_CR7) 2011; 378
ME Schoeny (1368_CR44) 2017; 5
D Merom (1368_CR42) 2009; 38
LC Ivers (1368_CR16) 2011; 94
RC Kessler (1368_CR51) 1977; 11
BH Goodpaster (1368_CR61) 2010; 304
GR McCormack (1368_CR63) 2017; 37
E Wilkins (1368_CR71) 2018; 2019
KG Keppel (1368_CR15) 1993; 83
L Ledderer (1368_CR57) 2020; 47
A Jáuregui (1368_CR64) 2017; 103
D Haire-Joshu (1368_CR26) 2019; 54
RB Jaffe (1368_CR2) 2008; 63
References_xml – volume: 318
  start-page: 255
  issue: 3
  year: 2017
  ident: 1368_CR9
  publication-title: JAMA - J Am Med Assoc
  doi: 10.1001/jama.2017.7092
– volume: 318
  start-page: 255
  issue: 3
  year: 2017
  ident: 1368_CR8
  publication-title: JAMA - J Am Med Assoc
  doi: 10.1001/jama.2017.7092
– volume: 94
  start-page: 1225
  issue: 5
  year: 2011
  ident: 1368_CR12
  publication-title: Am J Clin Nutr
  doi: 10.3945/ajcn.111.015289
– volume: 83
  start-page: 1100
  issue: 8
  year: 1993
  ident: 1368_CR15
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.83.8.1100
– ident: 1368_CR75
– volume: 35
  start-page: 1289
  issue: 10
  year: 2011
  ident: 1368_CR22
  publication-title: Int J Obes
  doi: 10.1038/ijo.2011.150
– volume: 28
  start-page: 2323
  issue: 12
  year: 2020
  ident: 1368_CR19
  publication-title: Obesity
  doi: 10.1002/oby.23003
– volume: 46
  start-page: 99
  issue: 2
  year: 2008
  ident: 1368_CR17
  publication-title: Prev Med (Baltim)
  doi: 10.1016/j.ypmed.2007.08.003
– ident: 1368_CR73
  doi: 10.22004/ag.econ.262116
– volume: 12
  start-page: 1166
  issue: 7
  year: 2004
  ident: 1368_CR14
  publication-title: Obes Res
  doi: 10.1038/oby.2004.146
– volume: 94
  start-page: 1740
  issue: 6
  year: 2011
  ident: 1368_CR16
  publication-title: Am J Clin Nutr
  doi: 10.3945/ajcn.111.012617
– volume: 31
  start-page: 399
  issue: 1
  year: 2010
  ident: 1368_CR27
  publication-title: Annu Rev Public Health
  doi: 10.1146/annurev.publhealth.012809.103604
– ident: 1368_CR18
– volume: 45
  start-page: 100835
  year: 2020
  ident: 1368_CR23
  publication-title: Dev Cogn Neurosci
  doi: 10.1016/j.dcn.2020.100835
– volume: 41
  start-page: 119
  year: 2019
  ident: 1368_CR67
  publication-title: Annu Rev Public Health
  doi: 10.1146/annurev-publhealth-040218-043657
– volume: 2019
  start-page: 186
  issue: 57
  year: 2018
  ident: 1368_CR71
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2019.02.007
– volume: 23
  start-page: 1331
  issue: 7
  year: 2015
  ident: 1368_CR72
  publication-title: Obesity
  doi: 10.1002/oby.21118
– volume: 116
  start-page: 39
  issue: 1
  year: 2007
  ident: 1368_CR81
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.106.675355
– volume: 36
  start-page: 248
  issue: 3
  year: 2008
  ident: 1368_CR28
  publication-title: Build Res Inf
  doi: 10.1080/09613210801928131
– volume: 104
  start-page: 512
  issue: 3
  year: 2014
  ident: 1368_CR3
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2013.301597
– volume: 23
  start-page: 64
  issue: 2 SUPPL. 1
  year: 2002
  ident: 1368_CR35
  publication-title: Am J Prev Med
  doi: 10.1016/S0749-3797(02)00475-0
– volume: 96
  start-page: 87
  year: 2017
  ident: 1368_CR41
  publication-title: Prev Med
  doi: 10.1016/j.ypmed.2016.12.049.Preserving
– volume: 3
  start-page: 467
  issue: 4
  year: 2016
  ident: 1368_CR68
  publication-title: J Transp Heal
  doi: 10.1016/j.jth.2016.02.010
– start-page: 213
  volume-title: Clinical Trials: A Practical Approach
  year: 2013
  ident: 1368_CR50
  doi: 10.1002/9781118793916
– ident: 1368_CR30
– volume: 18
  start-page: 2172
  issue: 12
  year: 2015
  ident: 1368_CR10
  publication-title: Public Health Nutr
  doi: 10.1017/S1368980014002523
– volume: 11
  start-page: 43
  issue: 1
  year: 1977
  ident: 1368_CR51
  publication-title: Qual Quant
  doi: 10.1007/BF00143986
– ident: 1368_CR6
– volume: 38
  start-page: 137
  issue: 2
  year: 2009
  ident: 1368_CR42
  publication-title: Ann Behav Med
  doi: 10.1007/s12160-009-9138-z
– volume: 37
  start-page: 253
  year: 2016
  ident: 1368_CR20
  publication-title: Annu Rev Public Health
  doi: 10.1146/annurev-publhealth-032315-021859
– volume: 304
  start-page: 1795
  issue: 16
  year: 2010
  ident: 1368_CR61
  publication-title: JAMA - J Am Med Assoc
  doi: 10.1001/jama.2010.1505
– volume: 378
  start-page: 804
  issue: 9793
  year: 2011
  ident: 1368_CR7
  publication-title: Lancet
  doi: 10.1016/S0140-6736(11)60813-1
– volume: 33
  start-page: 68
  issue: 1
  year: 2010
  ident: 1368_CR34
  publication-title: Fam Community Heal
  doi: 10.1097/FCH.0b013e3181c4e2e5
– ident: 1368_CR38
  doi: 10.1186/s12966-022-01326-9
– volume: 16
  start-page: 903
  issue: 5
  year: 2010
  ident: 1368_CR58
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2010.05.002
– volume: 2012
  start-page: 932653
  year: 2012
  ident: 1368_CR39
  publication-title: J Nutr Metab
  doi: 10.1155/2012/932653
– volume: 13
  start-page: 43
  issue: 1
  year: 2014
  ident: 1368_CR49
  publication-title: Int J Health Geogr
  doi: 10.1186/1476-072X-13-43
– volume: 27
  start-page: 87
  issue: 2
  year: 2004
  ident: 1368_CR70
  publication-title: Am J Prev Med
  doi: 10.1016/j.amepre.2004.04.011
– volume-title: Models for the Analysis of Panel Data
  year: 1980
  ident: 1368_CR52
– volume: 370
  start-page: 1111
  issue: 9593
  year: 2007
  ident: 1368_CR29
  publication-title: Lancet
  doi: 10.1016/S0140-6736(07)61260-4
– volume: 16
  start-page: 1
  issue: 1
  year: 2016
  ident: 1368_CR59
  publication-title: BMC Public Health
  doi: 10.1186/s12889-016-3272-x
– volume: 5
  start-page: 57
  year: 2017
  ident: 1368_CR44
  publication-title: Prev Med Reports
  doi: 10.1016/j.pmedr.2016.11.008
– ident: 1368_CR25
– volume: 12
  start-page: E141
  issue: 9
  year: 2015
  ident: 1368_CR78
  publication-title: Prev Chronic Dis
  doi: 10.5888/pcd12.150098
– volume: 15
  start-page: 1
  issue: 1
  year: 2018
  ident: 1368_CR76
  publication-title: Int J Behav Nutr Phys Act
  doi: 10.1186/s12966-017-0640-6
– volume: 47
  start-page: 749
  issue: 5
  year: 2020
  ident: 1368_CR57
  publication-title: Heal Educ Behav
  doi: 10.1177/1090198120931788
– volume: 68
  start-page: 1285
  issue: 7
  year: 2009
  ident: 1368_CR53
  publication-title: Soc Sci Med
  doi: 10.1016/j.socscimed.2009.01.017
– volume: 79
  start-page: 379
  issue: 3
  year: 2004
  ident: 1368_CR80
  publication-title: Am J Clin Nutr
  doi: 10.1093/ajcn/79.3.379
– volume: 14
  start-page: 1
  issue: 10
  year: 2017
  ident: 1368_CR24
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1002415
– volume: 309
  start-page: 71
  issue: 1
  year: 2013
  ident: 1368_CR1
  publication-title: J Am Med Assoc
  doi: 10.1001/jama.2012.113905
– volume: 1
  start-page: 170
  issue: 4
  year: 2008
  ident: 1368_CR11
  publication-title: Rev Obstet Gynecol
– volume: 26
  start-page: 118
  year: 2014
  ident: 1368_CR55
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2013.12.008
– volume: 125
  start-page: 729
  issue: 5
  year: 2012
  ident: 1368_CR32
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.110.969022
– volume: 4
  start-page: 569
  year: 2016
  ident: 1368_CR46
  publication-title: Prev Med Reports
  doi: 10.1016/j.pmedr.2016.10.004
– volume: 37
  start-page: 175
  issue: 6
  year: 2017
  ident: 1368_CR63
  publication-title: Heal Promot Chronic Dis Prev Canada
  doi: 10.24095/hpcdp.37.6.01
– volume: 16
  start-page: 903
  issue: 5
  year: 2010
  ident: 1368_CR40
  publication-title: Health Place
  doi: 10.1016/j.healthplace.2010.05.002
– volume: 28
  start-page: 145
  year: 2007
  ident: 1368_CR60
  publication-title: Annu Rev Public Health
  doi: 10.1146/annurev.publhealth.28.021406.144105
– volume: 117
  start-page: 1618
  issue: 10
  year: 2017
  ident: 1368_CR45
  publication-title: Southern Adults J Acad Nutr Diet
  doi: 10.1016/j.jand.2017.04.012
– volume: 30
  start-page: 333
  issue: 4
  year: 2006
  ident: 1368_CR37
  publication-title: Am J Prev Med
  doi: 10.1016/j.amepre.2005.11.003
– volume: 12
  start-page: 807
  year: 2012
  ident: 1368_CR65
  publication-title: BMC Public Health
  doi: 10.1186/1471-2458-12-807
– volume: 63
  start-page: 157
  issue: 3
  year: 2008
  ident: 1368_CR2
  publication-title: JAMA
  doi: 10.1097/01.ogx.0000305202.93507.2a
– volume: 44
  start-page: 924
  issue: 13
  year: 2010
  ident: 1368_CR69
  publication-title: Br J Sports Med
  doi: 10.1136/bjsm.2009.058701
– volume: 40
  start-page: S550
  issue: 7 SUPPL 1
  year: 2008
  ident: 1368_CR79
  publication-title: Med Sci Sports Exerc
  doi: 10.1249/MSS.0b013e31817c67a4
– volume: 16
  start-page: 1
  issue: 6
  year: 2019
  ident: 1368_CR21
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1002817
– volume: 32
  start-page: 334
  issue: 2
  year: 2018
  ident: 1368_CR43
  publication-title: Am J Heal Promot
  doi: 10.1177/0890117117742999
– volume: 174
  start-page: 1108
  issue: 10
  year: 2011
  ident: 1368_CR36
  publication-title: Am J Epidemiol
  doi: 10.1093/aje/kwr244
– volume: 33
  start-page: 3169
  issue: 28
  year: 2015
  ident: 1368_CR62
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2015.61.1095
– ident: 1368_CR74
– volume: 54
  start-page: 341
  issue: 3
  year: 2019
  ident: 1368_CR26
  publication-title: Am J Prev Med
  doi: 10.1016/j.amepre.2017.12.012.A
– volume: 29
  start-page: 129
  issue: 1
  year: 2007
  ident: 1368_CR31
  publication-title: Epidemiol Rev
  doi: 10.1093/epirev/mxm009
– volume: 7
  start-page: 45
  year: 2010
  ident: 1368_CR54
  publication-title: Int J Behav Nutr Phys Act
  doi: 10.1186/1479-5868-7-45
– volume: 18
  start-page: 1172
  issue: 5
  year: 2012
  ident: 1368_CR77
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2012.05.006
– volume-title: Anthropometry Procedures Manual
  year: 2007
  ident: 1368_CR47
– ident: 1368_CR48
  doi: 10.1145/2424321.2424374
– volume: 106
  start-page: 1656
  issue: 9
  year: 2016
  ident: 1368_CR4
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2016.303326
– volume: 103
  start-page: S21
  year: 2017
  ident: 1368_CR64
  publication-title: Prev Med (Baltim)
  doi: 10.1016/j.ypmed.2016.11.014
– volume: 17
  start-page: 458
  issue: 2
  year: 2011
  ident: 1368_CR66
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2010.11.010
– volume: 161
  start-page: 1581
  issue: 13
  year: 2001
  ident: 1368_CR5
  publication-title: Arch Intern Med
  doi: 10.1001/archinte.161.13.1581
– volume: 16
  start-page: 175
  issue: 2
  year: 2010
  ident: 1368_CR33
  publication-title: Heal Place
  doi: 10.1016/j.healthplace.2009.09.008
– volume: 318
  start-page: 1777
  issue: 18
  year: 2017
  ident: 1368_CR13
  publication-title: J Am Med Assoc
  doi: 10.1001/jama.2017.16191
– volume: 117
  start-page: 417
  issue: 2
  year: 2006
  ident: 1368_CR56
  publication-title: Pediatrics
  doi: 10.1542/peds.2005-0058
SSID ssj0031805
Score 2.3928514
Snippet Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle...
Background Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood....
BACKGROUND: Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood....
Abstract Background Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of...
SourceID doaj
pubmedcentral
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 130
SubjectTerms Body Mass Index
Built Environment
Care and treatment
Convenience stores
Demographic aspects
Diabetes
Diet, Healthy
Eating behavior
Education
Environment Design
Environmental aspects
Families & family life
Fast food
fast foods
Female
Food
Food security
Grocery stores
Health aspects
Health behavior
Health behaviors
Health care
Health promotion
Humans
Intervention
lifestyle
Lifestyle intervention
Lifestyles
Maternal
Methods
Mothers
Neighborhoods
Nutrition
Obesity
Obesity - epidemiology
Obesity - therapy
Overweight
Overweight - therapy
parenting
pregnancy
Prevention programs
regression analysis
Residence Characteristics
Social aspects
suburban areas
Urban environments
Urban planning
waist circumference
Weight control
weight gain
Weight Loss
Womens health
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELbQnrgg3gQWNCDEQyjaPO34hArbqqBlD9CV9mbZjrNEKgkiqRD7T_k3zDhp1QhpuXDopZ487IxnxvY33zD23FUyiWysw9SUSZjxTIdSVLQdlgh0gFykOeU7fzrly7Ps43l-vlfqizBhAz3wMHBHIpOVkWnOncgzF0vjJIbsiXFR7GTifJov-rztYmqwwaioUb5NkSn4UYdejRPYlmAIKS_Cy4kb8mz9f9vkPac0BUzueaDFTXZjDB1hNrzyLXbNNbdZcFy7Hl7AyO-5htMtvf4d9vu4dR1ghAcNbYDi1yYOYzCbet3DXoYbUDkcoozwsgPCYzSC0Fag4affPw3X2BOo90CSgBEvfPM5XB3Qji60HmdN0oBN7VB14C0sap880wFls_inDOlPv2CuCXcNuilh5p8KJzXtccBKb-guugeq5A6vlvPZyWr5Gjwf7l12tpiv3i_DsZRDaHka9WHJS2HLKo94UXKOdoMOeLQxWug4KjM0G0Y4jKxkJUuTVklldFSVMc9Lqw3-0nvsoGkb94BBaqPcWJ4JLok6Pi14zG0kK2tyG6FPDli8_bLKjjznVG5jrfx6p-Bq0AaF2qC8NqjLgL3ZXfN9YPm4UvodKcxOkhi6_R-ot2rUW_UvvQ3YM1I3RRwcDYF8LvSm69SHL5_VTCR0_srzLGAvR6GqxT5YPeZM4EgQbddE8nAiiUbCTpu3Wq1GI9WpRODaF9eXUgbs6a6ZriTgXePajZehw3EM0q-QQUeFQU2a4n3uDxNlNzYppwdE2F0xmUKTwZu2NPVXT3Mu84TLQjz8H6P9iF1PaPZ7FOYhO-h_bNxjjCZ788Qbjj8BmnQI
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LbxMxELagXLggKK9AQQNCPIRW3ae9PlWBtgqo9ACplJtle70lUtgt3USI_lP-DTNeJ2SF1EMu8ex6bY9nxuOZbxh75WqZxjbRUWaqNMp5riMpanKHpQIVIBdZQfnOX0755Cz_PCtmweHWhbDKtUz0grpqLfnI91OBhjoaw1IeXPyMqGoU3a6GEho32S2CLiOuFrPNgQvZNS7WiTIl3-9Qt3EKuaVghIyX0dVAGXnM_v8l85ZqGoZNbumh47vsTjAgYdyv-D12wzW7bHQ4d0t4DQHlcwGna5D9XarLHGI47rM_h63rAG0-aMgliutPqMZgVvPFErZy3oAK5BCIhKftYz6CWIS2Bg2_vEc1WuCoYL4VNgloA8MPn9XVAfl4ofWR10QN2NT2dQgO4Hju02k6oPwW30ufEPUbjjRFYoNuKhj7XuFkTl4PmOoVvUUvgWq7w9vJ0fhkOnkHHiH3ATs7Ppp-nEShuENkeRYvo4pXwlZ1EfOy4hwlCV35aGO00Elc5ShIjHBoa8laViar09rouK4SXlRWG_xlD9lO0zbuMYPMxoWxPBdcEph8VvKE21jW1hQ2Ri09Ysl6lZUNyOdUgGOh_Amo5KrnDIWcoTxnqKsRe7955qLH_biW-gMxz4aSMLv9H-3luQoiQIlc1kZmBXeiyF0ijZN4-EyNixMnU1eO2EtiPUWoHA2F_ZzrVdepT9--qrFI6UaWF_mIvQlEdYtjsDpkUeBMEJDXgHJvQIliww6b1xyugtjq1L9NNmIvNs30JIXiNa5deRq6Lkez_RoaVF1o5mQZvudRv2k2c5Nx6iDG4YrBdhpM3rClmX_3wOeySLksxZPrP_0pu53SHvcRl3tsZ3m5cs_Qclya5148_AVn5W_S
  priority: 102
  providerName: ProQuest
Title Does the neighborhood built environment moderate the effectiveness of a weight-loss intervention for mothers with overweight or obesity? Findings from the Healthy Eating and Active Living Taught at Home (HEALTH) study
URI https://www.ncbi.nlm.nih.gov/pubmed/36182908
https://www.proquest.com/docview/2725918299
https://www.proquest.com/docview/2720424226
https://www.proquest.com/docview/2887990339
https://pubmed.ncbi.nlm.nih.gov/PMC9526987
https://doaj.org/article/749fb9356e754e19be96252be01e92e8
Volume 19
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1ZbxMxELZ6vPCCoFyBEg0IcQgt7GmvH1CVtqlC1Vaoh9Q3y971lkhhF7KJoP2n_BtmvJsoK6o-JJHi8Tp2xjPj8cw3jL2xhQz9LNBeZPLQi3msPSkKcoeFAhUgF1FC-c7HJ3x0ER9eJpdrbFHuqF3A-tajHdWTuphOPv35db2DG_6L2_Ap_1yjzuIUSktBBhFPvZt1tomaSVBFg-N4eauA7Osni8SZW_t1lJPD8P9fUq-oqm4Y5YpeOnjA7rcGJQwaDnjI1my5xXr7YzuDt9Cifk7gZAG6v0V1mtuYjkfs735la0AbEEpykSI_EMoxmPl4MoOVHDiggjkEKuFomxiQVkxCVYCG387D6k1wVjBeCaMEtInhh8vyqoF8vlC5SGyiBmyqmroEO3Awduk1NVC-ixulSZC6hqGmyGzQZQ4DNyocjckLAud6Tk_RM6Ba7_B-NBwcnY8-gEPMfcwuDobneyOvLfbgZTzyZ17Oc5HlReLzNOccJQtdAWljtNCBn8coWIywaHvJQuYmKsLCaL_IA57kmTb4ip6wjbIq7TMGUeYnJuOx4JLA5aOUBzzzZZGZJPNRa_dYsPiXVdYioVNBjolyJ6KUq4YzFHKGcpyhbnrs47LPzwYH5E7qXWKeJSVheLsvqumVakWCErEsjIwSbkUS20AaK_EwGhrrB1aGNu2x18R6ilA6SgoDutLzulZfz07VQIR0Q8uTuMfetURFhXPIdJtVgStBwF4dyu0OJYqRrNu84HC12IUqFHg6xhOolD32atlMPSk0r7TV3NHQ9Tma8XfQoCpDsyeK8DlPm02zXJuI0wA-Tld0tlNn8bot5fi7A0KXSchlKp7f_dNfsHsh7XEXgbnNNmbTuX2JluTM9Nm6uBT4nu4FfbY5GByeHeLn7vDk22nfeWf6ToD8A_GCeQc
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKOcAFQXktFBgQT6GoeTrxAVVLt9WWbvcAW6k3YydOWWlJSrOrqv1R_B_-DTNOsmyE1FsPe1lPnNgez4zH38ww9trkwndTTzmBznwn5KFyRJyTO8yPUQHyOIgo3vlwzIdH4Zfj6HiN_W5jYQhW2cpEK6izMiUf-ZYfo6GOxrAQ26e_HKoaRberbQmNmi0OzMU5HtmqT_sDXN83vr-3O9kZOk1VASflgTt3Mp7FaZZHLk8yzpGF6a5Baa1i5blZiBysY4NKXuQi00Hu51q5eebxKEuVxl-A_d5gN8MAtyZFpu8sISW4PdyoDcxJ-FaFupQTxJfADwFPnMuO8rM1Av7XBCuqsAvTXNF7e3fZncZghX7NYffYmik2WG8wNXN4C01W0RmM26T-G1QHusGM3Gd_BqWpAG1MKMgFi_xGWZRBL6azOazE2AEV5KGkFZa2xpg0YhjKHBScWw-uM8NRwXQFpgloc8NPG0VWAfmUobRIb6IGbCrrugfbsDe14TsVUDyNfUsdgHUBu4qQ36CKDPr2rTCakpcFJmpBvag5UC15eD_c7Y8mww9gM_I-YEfXsuwP2XpRFuYxgyB1I53yMOaCktcHCfd46oo81VHqolXQY167yjJtMq1TwY-ZtCeuhMuaMyRyhrScIS977OPymdM6z8iV1J-JeZaUlCPc_lGenchG5Mg4FLkWQcRNHIXGE9oIPOz62rieEb5JeuwVsZ6kLCAFwYxO1KKq5P63r7If-3QDzKOwx941RHmJY0hVE7WBM0GJwzqUmx1KFFNpt7nlcNmIyUr-29Q99nLZTE8S9K8w5cLS0PU8HhOuoEFViWZVEGA_j-pNs5ybgNMLXBxu3NlOncnrthTTHzbRuoh8LpL4ydWf_oLdGk4OR3K0Pz54ym77tN8t2nOTrc_PFuYZWq1z_dyKCmDfr1s2_QVlC65d
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Does+the+neighborhood+built+environment+moderate+the+effectiveness+of+a+weight-loss+intervention+for+mothers+with+overweight+or+obesity%3F+Findings+from+the+Healthy+Eating+and+Active+Living+Taught+at+Home+%28HEALTH%29+study&rft.jtitle=The+international+journal+of+behavioral+nutrition+and+physical+activity&rft.au=Gilbert%2C+Amanda+S&rft.au=Salvo%2C+Deborah&rft.au=Tabak%2C+Rachel+G&rft.au=Haire-Joshu%2C+Debra&rft.date=2022-10-01&rft.pub=BioMed+Central&rft.eissn=1479-5868&rft.volume=19&rft.spage=1&rft_id=info:doi/10.1186%2Fs12966-022-01368-z
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1479-5868&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1479-5868&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1479-5868&client=summon