Evidence map›Paper›PMID 17995549›Full record

ArticleHealth services research2007

Estimating health conditions for small areas: asthma symptom prevalence for state legislative districts.

Carolyn A Mendez-Luck, Hongjian Yu, Ying-Ying Meng, Mona Jhawar, Steven P Wallace

Abstract read
In one paragraph

Article in Health services research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Measuring the Health of Philadelphia's City Council Districts.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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  11. Small area estimates reveal high cigarette smoking prevalence in low-income cities of Los Angeles county.Journal of urban health : bulletin of the New York Academy of Medicine · 2012
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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.

Carolyn A Mendez-LuckUCLA School of Public Health, Department of Community Health Sciences, UCLA Center for Health Improvement in Minority Elders/Resource Centers for Minority Aging Research, Los Angeles, CA 90095-1772, USA.
Hongjian Yu
Ying-Ying Meng
Mona Jhawar
Steven P Wallace

Funding

The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7M
NIA NIH HHS P30 AG021684NIA NIH HHS P30-AG-021684
6 · The paper itself

Abstract

RESEARCH

objectiveTo create prevalence estimates of asthma symptoms for California legislative districts. DATA SOURCES: Three main data sources were used for this study: 2001 California Health Interview Survey, 2000 Census, and 2000-2002 March Current Population Surveys. STUDY

designSecondary data analyses were conducted from cross-sectional data to distribute the joint probability of ever having an asthma diagnosis and symptoms in the last 12 months within an Assembly district. We applied hierarchical logistic regressions to estimate the parameters for selected survey and census data that predicted the probabilities of diagnosed asthmatics with asthma symptoms. Predictors included individual-level variables and contextual variables at zip code levels. PRINCIPAL

findingsAsthma symptom prevalence geographically varied by age within and across Assembly districts throughout California.

conclusionsWith modest investments in establishing analytic data files and estimating regression parameters for target conditions, small area estimation (SAE) procedures can create health data estimates not otherwise available at the sub-county level. Applying SAE procedures to asthma symptom prevalence suggest that these data can become essential reference tools for advocates and policy makers currently addressing this and other public health concerns in the state.

Indexed as

Small-Area AnalysisAdolescentAdultAgedAsthmaCaliforniaChildChild, PreschoolCross-Sectional StudiesFemaleHealth StatusHumansInfantInfant, NewbornLanguageMale

Identifiers

PMID17995549
PMCPMC2151318

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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.