Evidence map›Paper›PMID 32843718›Full record

ArticleScientific reports2020

Long-term effectiveness of a lifestyle intervention on the prevention of type 2 diabetes in a middle-income country.

Mojtaba Lotfaliany, Mohamad Ali Mansournia, Fereidoun Azizi, Farzad Hadaegh, Neda Zafari, Arash Ghanbarian, Parvin Mirmiran, Brian Oldenburg, Davood Khalili

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 68 citations in OpenAlex.

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  5. Retrospective review of medicine utilization for noncommunicable diseases in three public sector pharmacies in Jamaica.Revista panamericana de salud publica = Pan American journal of public health · 2024
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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

9 authors at 3 institutions in 2 countries.

Mojtaba LotfalianyNon-Communicable Disease Control, School of Population and Global Health, University of Melbourne, Parkville, VIC, 3010, Australia.
Mohamad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farzad HadaeghPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P O Box: 19395-4763, Tehran, Iran.ORCID http://orcid.org/0000-0002-8935-2744
Neda ZafariPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P O Box: 19395-4763, Tehran, Iran.
Arash GhanbarianPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P O Box: 19395-4763, Tehran, Iran.
Parvin MirmiranNutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Brian OldenburgNon-Communicable Disease Control, School of Population and Global Health, University of Melbourne, Parkville, VIC, 3010, Australia.ORCID http://orcid.org/0000-0002-7712-5413
Davood KhaliliPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P O Box: 19395-4763, Tehran, Iran. dkhalili@endocrine.ac.ir.
Research Institute for Endocrine Sciences · IRThe University of Melbourne · AUTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the effects of a community-based lifestyle intervention program on the incidence of type 2 diabetes (T2D). For this purpose, three communities in Tehran were chosen; one community received a face-to-face educational session embedded in a long-term community-wide lifestyle intervention aimed at supporting lifestyle changes. We followed up 9,204 participants (control: 5,739, intervention: 3,465) triennially from 1999 to 2015 (Waves 1-5). After a median follow-up of 3.5 years (wave 2), the risk of T2D was 30% lower in the intervention community as compared with two control communities by (Hazard-ratio: 0.70 [95% CI 0.53; 0.91]); however, the difference was not statistically significant in the following waves. After a median follow-up of 11.9 years (wave 5), there was a non-significant 6% reduction in the incidence of T2D in the intervention group as compared to the control group (Hazard-ratio: 0.94 [0.81, 1.08]). Moreover, after 11.9 years of follow-up, the intervention significantly improved the diet quality measured by the Dietary Approaches to Stop Hypertension concordance (DASH) score. Mean difference in DASH score in the intervention group versus control group was 0.2 [95% CI 0.1; 0.3]. In conclusion, the intervention prevented T2D by 30% in the short-term (3.5 years) but not long-term; however, effects on improvement of the diet maintained in the long-term.Registration: This study is registered at IRCT, a WHO primary registry ( https://irct.ir ). The registration date 39 is 2008-10-29 and the IRCT registration number is IRCT138705301058N1.

Indexed as

Life StyleAdultAgedAnthropometryCross-Sectional StudiesDiabetes Mellitus, Type 2Dietary Approaches To Stop HypertensionEducational StatusFamily HealthFeeding BehaviorFemaleFollow-Up StudiesHealth EducationHealth Knowledge, Attitudes, PracticeHumansIncidence

Identifiers

PMID32843718
PMCPMC7447773
OpenAlexW3080626219

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.