ArticleInternational journal of environmental research and public health2017
Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927783 (Cardiovascular Health and Needs Assessment in Washington D.C. - Development of a Community-Based Behavioral Weight Loss Intervention), which is not on this map. Cited by 8 papers.
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.
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.
Cardiovascular Health and Needs Assessment in Washington D.C. - Development of a Community-Based Behavioral Weight Loss Intervention
Who cites it
8 citing papers in PubMed.
- Article
- The Built Environment Assessment of Residential Areas in Wuhan during the Coronavirus Disease (COVID-19) Outbreak.International journal of environmental research and public health · 2022Article
- Socioeconomic and racial disparities of sidewalk quality in a traditional rust belt city.SSM - population health · 2021Article
- Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study.JMIR research protocols · 2021Article
- Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images.IEEE access : practical innovations, open solutions · 2020Article
- Neighborhood Social Environment and Cardiovascular Disease Risk.Current cardiovascular risk reports · 2019Article
- Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.Obesity (Silver Spring, Md.) · 2018Article
- Examining relationships between perceptions and objective assessments of neighborhood environment and sedentary time: Data from the Washington, D.C. Cardiovascular Health and Needs Assessment.Preventive medicine reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Optimization of existing measurement tools is necessary to explore links between aspects of the neighborhood built environment and health behaviors or outcomes. We evaluate a scoring method for virtual neighborhood audits utilizing the Active Neighborhood Checklist (the Checklist), a neighborhood audit measure, and assess street segment representativeness in low-income neighborhoods. Eighty-two home neighborhoods of Washington, D.C. Cardiovascular Health/Needs Assessment (NCT01927783) participants were audited using Google Street View imagery and the Checklist (five sections with 89 total questions). Twelve street segments per home address were assessed for (1) Land-Use Type; (2) Public Transportation Availability; (3) Street Characteristics; (4) Environment Quality and (5) Sidewalks/Walking/Biking features. Checklist items were scored 0-2 points/question. A combinations algorithm was developed to assess street segments' representativeness. Spearman correlations were calculated between built environment quality scores and Walk Score
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.