Evidence map›Paper›PMID 36578912›Full record

ArticleGlobal heart2022

Prevalence of Hypertension, Diabetes, and Other Cardiovascular Disease Risk Factors in Two Indigenous Municipalities in Rural Guatemala: A Population-Representative Survey.

Eric Steinbrook, David Flood, Joaquin Barnoya, Carlos Mendoza Montano, Ann C Miller, Peter Rohloff

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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  15. Reach and effectiveness of a HEARTS hypertension pilot project in Guatemala.Revista panamericana de salud publica = Pan American journal of public health · 2024
    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

6 authors at 5 institutions in 2 countries.

Eric SteinbrookUniversity of Michigan Medical School, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8948-4413
David FloodUniversity of Michigan Medical School, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4372-7387
Joaquin BarnoyaUnidad de Cirugia Cardiovascular de Guatemala, Guatemala City, Guatemala, US.ORCID 0000-0002-1731-479X
Carlos Mendoza MontanoInstituto de Nutrición de Centroamérica y Panamá, INCAP, Guatemala City, Guatemala Unidad de Cirugia Cardiovascular, Guatemala City, Guatemala, US.
Ann C MillerDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-6841-9439
Peter RohloffCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, Tecpán, Guatemala, US.ORCID 0000-0001-7274-8315
Institute of Nutrition of Central America and Panama · GTBrigham and Women's Hospital · USHarvard University · USUnidad de Cirugía Cardiovascular de Guatemala · GTUniversity of Michigan–Ann Arbor · US

Funding

Implementation research for comprehensive cardiometabolic care in GuatemalaK23HL161271 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Clifford Flood · 2022 to 2026
$949k
Building Capacity for Chronic Kidney Disease Research in Guatemala.R21TW010831 · FIC · BRIGHAM AND WOMEN'S HOSPITAL · PI MENDOZA, CARLOS, ROHLOFF, PETER · 2017 to 2018
$335k
FIC NIH HHS R21 TW010831NHLBI NIH HHS K23 HL161271
6 · The paper itself

Abstract

Background: Nearly 50% of Guatemalans are Indigenous Maya, yet few studies have examined the prevalence of modifiable cardiovascular disease (CVD) risk factors in Indigenous Maya populations. Therefore, we sought to estimate the prevalence of modifiable CVD risk factors in two Indigenous Maya areas in Guatemala. Methods: We conducted, between June 2018 and October 2019, a population-representative survey of adults aged 18 years and older in two rural Indigenous Maya municipalities in Guatemala. Our primary outcomes were five modifiable CVD risk factors: diabetes, hypertension, obesity, smoking, and alcohol use. We estimated the crude and age-standardized prevalence of each outcome. We also constructed multivariable logistic regression models to assess prevalence over covariates including age, sex, education level, ethnicity, and poverty. Sampling weights adjusted for nonresponse, and appropriate survey commands were used in all analyses. Results: The crude prevalence of diabetes was 12.5% (95% confidence Interval [CI] 9.6% to 16.1%), hypertension 20.3% (95% CI 17.1% to 23.9%), obesity 23.7% (95% CI 19.4% to 28.6%), smoking 10.7% (95% CI 7.8% to 14.5%), and high alcohol use 0.9% (95% CI 0.5% to 1.6%). Age-standardized prevalence of each outcome was similar to the crude prevalence. The prevalence of multiple CVD risk factors increased between the age groups 18-29 years and 50-59 years before decreasing among older age groups. Men had twenty-fold higher smoking prevalence than women (20.5% vs. 1.2%, respectively) and women had nearly double the age-adjusted prevalence of obesity as men (30.1% vs. 17.0%, respectively). Conclusion: There is a substantial prevalence of modifiable CVD risk factors in rural, Indigenous populations in Guatemala, in particular hypertension, diabetes, obesity (among women), and smoking (among men). These findings can help catalyze policy and clinical investments to improve the prevention, management, and control of CVD risk factors in these historically marginalized communities.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionAdolescentAdultAgedCitiesFemaleGuatemalaHumansMaleObesityPrevalenceRisk FactorsYoung AdultCardiovascular risk factorsdiabetesGuatemala

Identifiers

PMID36578912
PMCPMC9695220
OpenAlexW4309703400

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.