Evidence map›Paper›PMID 32466178›Full record

ArticleNutrients2020

Lifestyle and Progression to Type 2 Diabetes in a Cohort of Workers with Prediabetes.

Miquel Bennasar-Veny, Sergio Fresneda, Arturo López-González, Carla Busquets-Cortés, Antoni Aguiló, Aina M Yañez

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Understanding barriers and facilitators of adherence to lifestyle changes in prediabetes: a qualitative study.International journal of qualitative studies on health and well-being · 2026
    Observational
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  8. Review
  9. Epidemiological features and prevalence patterns of prediabetes outcomes in an east coast Malaysian cohort: A retrospective cohort study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2026
    Article
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  12. Article
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  15. Use of technology in prediabetes and precision prevention.Journal of diabetes investigation · 2025
    Review
  16. Article
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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

6 authors.

Miquel Bennasar-VenyDepartment of Nursing and Physiotherapy, Balearic Islands University, Cra. de Valldemossa, Km 7,5, 07122 Palma, Illes Balears, Spain.
Sergio FresnedaDepartment of Nursing and Physiotherapy, Balearic Islands University, Cra. de Valldemossa, Km 7,5, 07122 Palma, Illes Balears, Spain.
Arturo López-GonzálezPrevention of Occupational Risks in Health Services, Balearic Islands Health Service, C/ Reina Esclaramunda, 9, 07003 Palma, Illes Balears, Spain.
Carla Busquets-CortésEscuela Universitaria ADEMA, C/ Gremi de Passamaners, 11, 07009 Palma, Illes Balears, Spain.
Antoni AguilóResearch Group on Evidence, lifestyles and Health Research, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Cra. de Valldemossa, Km 7,5, 07122 Palma, Illes Balears, Spain.
Aina M YañezResearch Group on Evidence, lifestyles and Health Research, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Cra. de Valldemossa, Km 7,5, 07122 Palma, Illes Balears, Spain.

Funding

Instituto de Salud Carlos III redIAPP, RD16/0007/008
6 · The paper itself

Abstract

backgroundPeople with prediabetes have an increased risk of developing type 2 diabetes (T2D). Few studies have evaluated the influence of lifestyle factors on the risk of progression to diabetes and reversion to normoglycemia. The aim of this study was to determine the incidence of T2D in a large cohort of workers with prediabetes, and to evaluate the influence of sociodemographic, clinical, metabolic, and lifestyle factors that affect the persistence of prediabetes and the progression to T2D.

methodsA cohort study of 27,844 adult workers (aged 20 to 65 years) from Spain who had prediabetes based on an occupational medical examination from 2012 to 2013. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dL. At the baseline evaluation, sociodemographic, anthropometric, metabolic, and lifestyle data were collected. At the 5-year follow-up, incident T2D was defined as an FPG of at least 126 mg/dL or initiation of an antidiabetic medication.

resultsAmong 235,995 initially screened workers, the prevalence of T2D was 14.19% (95% confidence interval (CI) 14.05 to 14.33) and the prevalence of prediabetes was 11.85% (95% CI 11.71 to 11.99). Follow-up data were available for 23,293 individuals with prediabetes. Among them, 36.08% (95% CI 35.46 to 36.70) returned to normoglycemia, 40.92% (95% CI 40.29 to 41.55) had persistent prediabetes, and 23.00% (95% CI 22.46 to 23.54) progressed to T2D. The risk for persistence of prediabetes and for progression to T2D increased with age, body mass index (BMI), triglyceride level, and less than 150 min/week of physical activity. An HbA1c level of 6% or greater was the strongest individual predictor of progression to T2D.

conclusionsPhysical activity, diet, smoking, and BMI are modifiable factors that are associated with the persistence of prediabetes and the progression to T2D. The workplace is a feasible setting for the early detection of prediabetes and the promotion of lifestyles that can prevent progression to T2D.

Indexed as

Disease ProgressionLife StyleAdultAgedBlood GlucoseBody Mass IndexCohort StudiesDiabetes Mellitus, Type 2DietExerciseFemaleFollow-Up StudiesGlycated HemoglobinHumansHypoglycemic AgentsIncidenceBlood GlucoseGlycated HemoglobinHypoglycemic Agentsdiabetes riskfasting plasma glucoseHbA1clifestylesnormoglycemiaoccupational healthprediabetesreversionrisk factor

Identifiers

PMID32466178
PMCPMC7284825

What Socratic 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 Socratic graph.