Evidence map›Paper›PMID 31064107›Full record

ArticleInternational journal of environmental research and public health2019

The Relationships between Adolescents' Obesity and the Built Environment: Are They City Dependent?

Neta HaGani, Mika R Moran, Or Caspi, Pnina Plaut, Ronit Endevelt, Orna Baron-Epel

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. The built environment as determinant of childhood obesity: A systematic literature review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables.International journal of environmental research and public health · 2019
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Neta HaGaniSchool of Public Health, University of Haifa, Haifa 3498838, Israel. netahagani@gmail.com.
Mika R MoranSchool of Public Health, University of Haifa, Haifa 3498838, Israel. moran.mika@gmail.com.
Or CaspiFaculty of Architecture and Town Planning, Technion- Israeli Institute of Technology, Haifa 3200003, Israel. orcaspi@gmail.com.ORCID 0000-0002-7639-3600
Pnina PlautFaculty of Architecture and Town Planning, Technion- Israeli Institute of Technology, Haifa 3200003, Israel. pninatech@gmail.com.
Ronit EndeveltSchool of Public Health, University of Haifa, Haifa 3498838, Israel. ronit.endevelt@moh.gov.il.
Orna Baron-EpelSchool of Public Health, University of Haifa, Haifa 3498838, Israel. orna.epel@gmail.com.ORCID 0000-0003-3447-2594
University of Haifa · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is evidence that the built environment can promote unhealthy habits which may increase the risk for obesity among adolescents. However, the majority of evidence is from North America, Europe and Australia, and less is known about other world regions. The purpose of this study was to examine how the number of overweight and obese adolescents may vary in relation to the built environment, area socioeconomic status (SES), physical activity (PA) and nutritional home environment. We performed a telephone survey of 904 adolescents ages 15-18 from three different cities in Israel. The questionnaire included: reported PA, sedentary behaviors and nutritional home environment. Body Mass Index (BMI) was attained from records of Maccabi Healthcare Services (MHS). The built environment measures were calculated by Geographic Information System (GIS). Multivariable logistic regression analysis was performed to identify variables associated with adolescents' overweight and obesity. The highest level of overweight and obese adolescents was in Beer Sheva (29.2%). The three cities did not differ in built environment characteristics, PA and sedentary behaviors. In Haifa, a more positive nutritional home environment was reported (

Indexed as

Built EnvironmentAdolescentBody Mass IndexCitiesExerciseFemaleHumansIsraelMaleOverweightSedentary BehaviorSocial Classadolescents’ obesitybuilt environmentnutritional environmentphysical activitysedentary behaviorswalkability

Identifiers

PMID31064107
PMCPMC6539234
OpenAlexW2942712119

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.