Evidence map›Paper›PMID 26384935›Full record

ArticleAmerican journal of preventive medicine2015

Weight Status Measures Collected in the Healthy Communities Study: Protocols and Analyses.

Christopher J Sroka, Kerry L McIver, Robyn D F Sagatov, S Sonia Arteaga, Edward A Frongillo

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Observational
  11. The Healthy Communities Study: Its Rationale, Aims, and Approach.American journal of preventive medicine · 2015
    Observational
  12. Article
  13. Statistical Design Features of the Healthy Communities Study.American journal of preventive medicine · 2015
    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

5 authors.

Christopher J SrokaBattelle, Columbus, Ohio. Electronic address: csroka@outlook.com.
Kerry L McIverDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.
Robyn D F SagatovBattelle, Baltimore, Maryland.
S Sonia ArteagaDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.

Funding

NHLBI NIH HHS HHSN268201000041C
6 · The paper itself

Abstract

The Healthy Communities Study is one of the largest studies to assess the relationship between characteristics of community programs and policies to prevent childhood obesity and obesity-related outcomes. The purpose of this paper is to describe the protocol that was developed for collecting the anthropometric data for the study and the procedures for analyzing the data. Data were collected from 2013 to 2015 and analyses will be completed by mid-2016. During in-home visits, Healthy Communities Study staff collected height, weight, and waist circumference measurements from child participants and height and weight measurements from adult participants. The protocol for obtaining these measurements was adapted from the protocol used by the National Health and Nutrition Examination Survey, with modifications to accommodate assessments conducted in homes rather than in a Mobile Examination Center. In addition to anthropometric data from in-home visits, the Healthy Communities Study collected retrospective height and weight measurements from the medical records of child participants. These data were used to calculate trajectories of BMI and BMI z-scores. The study implemented procedures for ensuring the accuracy of the in-home measurements and abstracted medical data. These procedures included automatically checking the ranges on entered data, reviewing data for end-digit patterns, and abstracting selected medical records using two independent abstractors to assess agreement. The collection of longitudinal height and weight measures will allow researchers to address several pressing questions related to how characteristics of community programs and policies are associated with obesity-related outcomes among children.

Indexed as

Health PromotionResidence CharacteristicsAdolescentAnthropometryChildChild, PreschoolFemaleHumansMalePediatric ObesityStatistics as Topic

Identifiers

PMID26384935
PMCPMC4575771

What OpenQuestion holds

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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.