Evidence map›Paper›PMID 25719217›Full record

ArticlePreventing chronic disease2015

State socioeconomic indicators and self-reported hypertension among US adults, 2011 behavioral risk factor surveillance system.

Amy Z Fan, Sheryl M Strasser, Xingyou Zhang, Jing Fang, Carol G Crawford

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  5. Article
  6. A big issue on a small island-Obesity increases hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  7. Article
  8. Hypertension Across a Woman's Life Cycle.Current hypertension reports · 2022
    Review
  9. Article
  10. Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Factors Related to Blood Pressure Response after Community-Based Exercise Program in the Elderly Population.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
  15. Spatio-Temporal Variation of Gender-Specific Hypertension Risk: Evidence from China.International journal of environmental research and public health · 2019
    Article
  16. Observational
  17. Article
  18. Social determinants of health in mental health care and research: a case for greater inclusion.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  19. Article
  20. 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 at 2 institutions in 1 country.

Amy Z FanPopulation Health Surveillance Branch, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Mail Stop F64, Atlanta, GA 30341. Email: afan@cdc.gov.
Sheryl M StrasserSchool of Public Health, Georgia State University, Atlanta, Georgia.
Xingyou ZhangCenters for Disease Control and Prevention, Atlanta, Georgia.
Jing FangCenters for Disease Control and Prevention, Atlanta, Georgia.
Carol G CrawfordCenters for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USGeorgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertension is the leading cause of chronic disease and premature death in the United States. To date, most risk factors for hypertension have been identified at the individual (micro) level. The association of macro-level (area) socioeconomic factors and hypertension prevalence rates in the population has not been studied extensively.

methodsWe used the 2011 Behavioral Risk Factor Surveillance System to examine whether state socioeconomic status (SES) indicators predict the prevalence of self-reported hypertension. Quintiles of state median household income, unemployment rate among the population aged 16 to 64 years, and the proportion of the population under the national poverty line were used as the proxy for state SES. Hypertension status was determined by the question "Have you ever been told by a doctor, nurse, or other health professional that you have high blood pressure?" Logistic regression was used to assess the relationship between state SES and hypertension with adjustment for individual covariates (demographic and socioeconomic factors and lifestyle behaviors).

resultsStates with a median household income of $43,225 or less (odds ratio [95% confidence interval] = 1.16 [1.08-1.25]) and states with 18.7% or more of residents living below the poverty line (odds ratio [95% confidence interval] = 1.14 [1.04-1.24]) had a higher prevalence of hypertension than states with the most residents in the most advantageous quintile of the indicators.

conclusionThe observed state SES-hypertension association indicates that area SES may contribute to the burden of hypertension in community-dwelling adults.

Indexed as

Health Status IndicatorsSocial ClassAdolescentAdultBehavioral Risk Factor Surveillance SystemBinge DrinkingBody Mass IndexExerciseFemaleHealth BehaviorHumansHypertensionLife StyleLogistic ModelsMaleMiddle Aged

Identifiers

PMID25719217
PMCPMC4344353
OpenAlexW2019444341

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.