Evidence map›Paper›PMID 15670459›Full record

ArticlePreventing chronic disease2005

Using community indicators to assess nutrition in Arizona-Mexico border communities.

Jacob Abarca, Sulabha Ramachandran

Abstract read
In one paragraph

Article in Preventing chronic disease, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Data Collection Instruments for Obesogenic Environments in Adults: A Scoping Review.International journal of environmental research and public health · 2019
    Article
  4. Challenges and opportunities in border health.Preventing chronic disease · 2005
    Review
  5. Article
  6. Article
  7. 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

2 authors.

Jacob AbarcaCenter for Health Outcomes & PharmacoEconomic Research, College of Pharmacy, University of Arizona, PO Box 210207, Tucson, AZ 85721-0207, USA. abarca@pharmacy.arizona.edu
Sulabha Ramachandran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommunity indicators are used to measure and monitor factors that affect the well-being of a community or region. Community indicators can be used to assess nutrition. Evaluating nutrition in communities along the Arizona-Mexico border is important because nutrition is related to an individual's risk of overweight or obesity; obesity is a risk factor for developing type 2 diabetes.

methodsLocal grocery store purchases were selected as a community indicator for nutrition. A structured 26-question interview was developed and administered to grocery store managers in communities along the Arizona-Mexico border that were targeted by the Border Health Strategic Initiative, a program implemented by community groups and the University of Arizona. In addition, data from milk distributors serving the border communities were collected.

resultsResidents of these communities favor food items with a higher fat and higher caloric content. This trend held across several food categories. Major barriers to customer acceptance of healthier food items include lack of knowledge concerning healthy foods and their prices.

conclusionThe demand for healthy food items is relatively low along the Arizona-Mexico border. Interventions should continue to target this population with the aim of changing dietary patterns as one method of improving the health of the community and preventing and controlling diabetes.

Indexed as

Nutrition SurveysArizonaCommunity MedicineFoodHumansMexico

Identifiers

PMID15670459
PMCPMC1323309

What OpenQuestion holds

Textmetadata
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.