Evidence map›Paper›PMID 27102029›Full record

ArticleGlobal heart2016

The Relationship Between Socioeconomic Status and CV Risk Factors: The CRONICAS Cohort Study of Peruvian Adults.

Renato Quispe, Catherine P Benziger, Juan Carlos Bazo-Alvarez, Laura D Howe, William Checkley, Robert H Gilman, Liam Smeeth, Antonio Bernabé-Ortiz, J Jaime Miranda, CRONICAS Cohort Study Group

Open access · hybridAbstract read
In one paragraph

Article in Global heart, 2016. 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
7.2field-weighted citation impact, top 3% 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, 44 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Polymorphic and Expressional Analysis of GenesInternational journal of hypertension · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

10 authors at 8 institutions in 4 countries.

Renato QuispeCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Catherine P BenzigerCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; Division of Cardiology, University of Washington, Seattle, WA, USA.
Juan Carlos Bazo-AlvarezCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Laura D HoweMRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
William CheckleyProgram in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Division of Pulmonary and Critical Care, School of Medicine Johns Hopkins University, Baltimore, MD, USA.
Robert H GilmanProgram in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Asociación Benéfica PRISMA, Lima, Peru.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Antonio Bernabé-OrtizCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
J Jaime MirandaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru. Electronic address: jaime.miranda@upch.pe.
CRONICAS Cohort Study Group
Universidad Peruana Cayetano Heredia · PEUniversity of Bristol · GBCohort (United Kingdom) · GBLondon School of Hygiene & Tropical Medicine · GBPrisma · PEUniversity of Washington · USJohns Hopkins University · USProteogenomics Research Institute for Systems Medicine · US

Funding

Latin America Treatment & Innovation Network in Mental Health (LATIN-MH)U19MH098780 · NIMH · FUNDACAO FACULDADE DE MEDICINA · PI ARAYA, RICARDO, MENEZES, PAULO ROSSI · 2013 to 2017
$2.7M
Launching a salt substitute to reduce blood pressure at the population level-PeruU01HL114180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2012 to 2016
$2.0M
Acute Lung Injury: Application of Novel Approaches to Longitudinal Data AnalysisR00HL096955 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CHECKLEY, WILLIAM · 2011 to 2013
$723k
Implementation of foot thermometry and SMS to prevent diabetic foot ulcerR21TW009982 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI MIRANDA, J JAIME · 2014 to 2015
$329k
FIC NIH HHS R21 TW009982FIC NIH HHS R21TW009982Medical Research Council M007405Medical Research Council MC_UU_12013/5Medical Research Council MR/K006584/1Medical Research Council MR/K007467/1Medical Research Council MR/M020894/1NHLBI NIH HHS HHSN268200900033CNHLBI NIH HHS R00 HL096955NHLBI NIH HHS R00HL096955NHLBI NIH HHS U01 HL114180NHLBI NIH HHS U01HL114180NIMH NIH HHS U19 MH098780NIMH NIH HHS U19MH098780Wellcome TrustWellcome Trust 098504/Z/12/ZWellcome Trust 103994/Z/14/Z
6 · The paper itself

Abstract

backgroundVariations in the distribution of cardiovascular disease and risk factors by socioeconomic status (SES) have been described in affluent societies, yet a better understanding of these patterns is needed for most low- and middle-income countries.

objectiveThis study sought to describe the relationship between cardiovascular risk factors and SES using monthly family income, educational attainment, and assets index, in 4 Peruvian sites.

methodsBaseline data from an age- and sex-stratified random sample of participants, ages ≥35 years, from 4 Peruvian sites (CRONICAS Cohort Study, 2010) were used. The SES indicators considered were monthly family income (n = 3,220), educational attainment (n = 3,598), and assets index (n = 3,601). Behavioral risk factors included current tobacco use, alcohol drinking, physical activity, daily intake of fruits and vegetables, and no control of salt intake. Cardiometabolic risk factors included obesity, elevated waist circumference, hypertension, insulin resistance, diabetes mellitus, low high-density lipoprotein cholesterol, and high triglyceride levels.

resultsIn the overall population, 41.6% reported a monthly family income <US$198, and 45.6% had none or primary education. Important differences were noted between the socioeconomic indicators: for example, higher income and higher scores on an asset index were associated with greater risk of obesity, whereas higher levels of education were associated with lower risk of obesity. In contrast, higher SES according to all 3 indicators was associated with higher levels of triglycerides.

conclusionsThe association between SES and cardiometabolic risk factors varies depending on the SES indicator used. These results highlight the need to contextualize risk factors by socioeconomic groups in Latin American settings.

Indexed as

Insulin ResistanceSocial ClassAdultAgedAlcohol DrinkingCardiovascular DiseasesCholesterol, HDLCohort StudiesDiabetes MellitusDietDyslipidemiasEducational StatusExerciseFemaleHumansHypertensionCholesterol, HDL

Identifiers

PMID27102029
PMCPMC4838671
OpenAlexW2340143028

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.