{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:17:12Z","timestamp":1791487032789,"version":"4.3.4"},"reference-count":48,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Childhood Obesity"],"published-print":{"date-parts":[[2024,12,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Childhood obesity is a risk factor for poor cardiovascular, metabolic, and respiratory health. The studies examining influences of socio-ecologic factors on weight trajectories using longitudinal data are limited, often examine single measures (e.g., proximity to parks), and have not examined the specific trajectories of children with obesity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We examined influences on weight among 1518 children, 6\u201312 years of age, who had obesity using body mass index (BMI) criteria. BMI slope trajectories were categorized as decreasing, flat, or increasing, with a median of 2.1 years of follow-up. We examined socio-ecologic exposures, stratified by rural and urban settings, using census tracts to map indices, including food access, proximity to parks, normalized difference vegetation index, and area deprivation index (ADI). We used ordinal logistic regression to examine the associations between the socio-ecologic factors and BMI trajectories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Among the 1518 children, 360 (24%) had a decreasing BMI trajectory with the remainder having flat (23%) or increasing (53%) trajectories. Children in rural areas were more likely to live in high disadvantage areas, 85%, compared with urban children, 46%. In the multivariable ordinal model, living in a lower ADI census tract had a 0.78 (95% CI 0.61\u20130.99) lower odds of being in an increasing BMI slope group, and no other socio-ecologic factor was associated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The area deprivation index captures a range of resources and social context compared with the built environment indicators, which had no association with BMI trajectory. Further work examining how to develop effective interventions in high deprivation areas is warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/chi.2023.0193","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T06:47:03Z","timestamp":1720421223000},"page":"624-633","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Socio-Ecologic Influences on Weight Trajectories Among Children with Obesity Living in Rural and Urban Settings"],"prefix":"10.1177","volume":"20","author":[{"given":"Zoe","family":"Barbour","sequence":"first","affiliation":[{"name":"Department of Pediatrics, Oregon Health &amp; Science University, Portland, OR, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cynthia","family":"Mojica","sequence":"additional","affiliation":[{"name":"College of Public Health Sciences, Oregon State University, Portland, OR, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hector Olvera","family":"Alvarez","sequence":"additional","affiliation":[{"name":"School of Nursing, Oregon Health &amp; Science University, Portland, OR, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byron Alexander","family":"Foster","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Oregon Health &amp; Science University, Portland, OR, USA."},{"name":"School of Public Health, Oregon Health &amp; Science University and Portland State University, Portland, OR, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"crossref","first-page":"12980","DOI":"10.1111\/obr.12980","article-title":"Access to fruit and vegetable markets and childhood obesity: A systematic review","volume":"22","author":"Yang S","year":"2021","unstructured":"Yang S, , Zhang X, , Feng P, et al. 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