Evidence map›Paper›PMID 25609029›Full record

ArticleBMC family practice2015

Modifiable risk factors associated with prediabetes in men and women: a cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes (PREDAPS-Study).

Alicia Díaz-Redondo, Carolina Giráldez-García, Lourdes Carrillo, Rosario Serrano, Francisco Javier García-Soidán, Sara Artola, Josep Franch, Javier Díez, Patxi Ezkurra, José Manuel Millaruelo and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.3field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

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  8. Sex differences in factors associated with prediabetes in Korean adults.Osong public health and research perspectives · 2022
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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

16 authors at 6 institutions in 1 country.

Alicia Díaz-RedondoDepartment of Preventive Medicine and Public Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain. aliciadiazredondo@gmail.com.
Carolina Giráldez-GarcíaDepartment of Preventive Medicine, Public Health (History of Science), Universidad Complutense de Madrid, Madrid, Spain. cvalle.giraldez@gmail.com.
Lourdes CarrilloLa Victoria de Acentejo Health Centre, Santa Cruz de Tenerife, Spain. lourdescarrillofernandez@gmail.com.
Rosario SerranoMartin de Vargas Health Centre, Madrid, Spain. rosarioserranom@gmail.com.
Francisco Javier García-SoidánPorriño Health Centre, Pontevedra, Spain. javiersoidan@gmail.com.
Sara ArtolaHereza Health Centre, Madrid, Spain. sara.artola@gmail.com.
Josep FranchRaval-Sud Primary Care Team, Barcelona, Spain. josep.franch@gmail.com.
Javier DíezTafalla Health Centre, Navarra, Spain. javierdiezesp@ono.com.
Patxi EzkurraZumaia Health Centre, Guipúzcua, Spain. pezkurral@gmail.com.
José Manuel MillarueloTorrero-La Paz Health Centre, Zaragoza, Spain. jmmillaruelo@gmail.com.
Mateu SeguíEs Castell Basic Health Unit, Islas Baleares, Spain. mseguid5@gmail.com.
Javier SangrósTorrero-La Paz Health Centre, Zaragoza, Spain. sangrosconte@telefonica.net.
Juan Martínez-CandelaYecla Health Centre, Murcia, Spain. juanmartinezcandela@gmail.com.
Pedro MuñozFamily & Community Medicine Teaching Unit, Cantabria, Spain. pedro.munoz@scsalud.es.
Albert GodayEndocrinology & Nutrition Department, Del Mar Hospital, Barcelona, Spain. 88565@parcdesalutmar.cat.
Enrique RegidorDepartment of Preventive Medicine, Public Health (History of Science), Universidad Complutense de Madrid, Madrid, Spain. enriqueregidor@hotmail.com.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESHospital Del Mar · ESHospital General Universitario Gregorio Marañón · ESMadrid Health Service · ESSpanish Society of Family and Community Medicine · ESUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediabetes is a high-risk state for diabetes development, but little is known about the factors associated with this state. The aim of the study was to identify modifiable risk factors associated with the presence of prediabetes in men and women.

methodsCohort Study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS-Study) is a prospective study on a cohort of 1184 subjects with prediabetes and another cohort of 838 subjects without glucose metabolism disorders. It is being conducted by 125 general practitioners in Spain. Data for this analysis were collected during the baseline stage in 2012. The modifiable risk factors included were: smoking habit, alcohol consumption, low physical activity, inadequate diet, hypertension, dyslipidemia, and obesity. To assess independent association between each factor and prediabetes, odds ratios (ORs) were estimated using logistic regression models.

resultsAbdominal obesity, low plasma levels of high-density lipoprotein cholesterol (HDL-cholesterol), and hypertension were independently associated with the presence of prediabetes in both men and women. After adjusting for all factors, the respective ORs (95% Confidence Intervals) were 1.98 (1.41-2.79), 1.88 (1.23-2.88) and 1.86 (1.39-2.51) for men, and 1.89 (1.36-2.62), 1.58 (1.12-2.23) and 1.44 (1.07-1.92) for women. Also, general obesity was a risk factor in both sexes but did not reach statistical significance among men, after adjusting for all factors. Risky alcohol consumption was a risk factor for prediabetes in men, OR 1.49 (1.00-2.24).

conclusionsObesity, low HDL-cholesterol levels, and hypertension were modifiable risk factors independently related to the presence of prediabetes in both sexes. The magnitudes of the associations were stronger for men than women. Abdominal obesity in both men and women displayed the strongest association with prediabetes. The findings suggest that there are some differences between men and women, which should be taken into account when implementing specific recommendations to prevent or delay the onset of diabetes in adult population.

Indexed as

AdultAgedCholesterol, HDLCohort StudiesCross-Sectional StudiesDietFemaleHealth PromotionHumansHypertensionLife StyleLogistic ModelsMaleMiddle AgedObesity, AbdominalPrediabetic StateCholesterol, HDL

Identifiers

PMID25609029
PMCPMC4316391
OpenAlexW1976500399

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.