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Record W3049145921 · doi:10.1111/jch.13982

Low levels of awareness, treatment, and control of hypertension in Andean communities of Ecuador

2020· article· en· W3049145921 on OpenAlexafffund
Camilo Félix, Manuel E. Baldeón, Federico Zertuche, Marco Fornasini, María-José Paucar, Liz Ponce, Sumathy Rangarajan, Salim Yusuf, Patricio López‐Jaramillo

Bibliographic record

VenueJournal of Clinical Hypertension · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersPopulation Health Research Institute
KeywordsMedicineEpidemiologyCohortEnvironmental healthObesityBlood pressurePopulationRural areaDemographyInternal medicine

Abstract

fetched live from OpenAlex

The major burden of hypertension (HTN) occurs in low-middle-income countries (LMIC) and it is the main modifiable risk factor for cardiovascular diseases (CVD). Few population studies on HTN prevalence have been carried out in Ecuador where there is limited information regarding its prevalence, awareness, treatment, and control. Thus, the aim of the present study was to determine the prevalence, awareness, treatment, and control of HTN and its association with socio-economic, nutritional, and lifestyle habits in urban and rural Andean communities of Pichincha province in Ecuador. The authors studied 2020 individuals aged 35-70 years (mean age 50.8 years, 72% women), included in the Ecuadorian cohort of the Prospective Urban and Rural Epidemiology (PURE) study, from February to December 2018. The hypertension prevalence (>140/90 mmHg) was 27% and was greater in urban than in rural communities, more common in men, in individuals older than 50 years of age, in people with low monthly income and low level of education. Higher prevalence was also observed in subjects with obesity, and among former smokers and those who consumed alcohol. Only 49% of those with HTN were aware of their condition, 40% were using antihypertensive medications, and 19% had their blood pressure under control (<140/90 mmHg). These results showed low levels of awareness, treatment, and control of HTN in the Andean region of Ecuador, suggesting the urgent necessity of implementing programs to improve the diagnosis and management of HTN.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.229
GPT teacher head0.373
Teacher spread0.144 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2020
Admission routes2
Has abstractyes

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