Evidence map›Paper›PMID 29187673›Full record

SynthesisJournal of occupational health2018

Dietary interventions to prevent and manage diabetes in worksite settings: a meta-analysis.

Archana Shrestha, Biraj Man Karmacharya, Polyna Khudyakov, Mary Beth Weber, Donna Spiegelman

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of occupational health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Archana ShresthaDepartment of Epidemiology, Harvard T.H Chan School of Public Health.
Biraj Man KarmacharyaDivision of Cardiology, University of Washington.
Polyna KhudyakovDepartment of Biostatistics, Harvard T.H Chan School of Public Health.
Mary Beth WeberDepartment of Global Health and Epidemiology, Rollins School of Public Health.
Donna SpiegelmanDepartment of Epidemiology, Harvard T.H Chan School of Public Health.
Harvard University · USGeorgia Department of Public Health · USHarvard Global Health Institute · USUniversity of Washington · US

Funding

Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Comprehensive Translational Science Analytics Tools for the Global Health AgendaDP1ES025459 · NIEHS · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2018
$4.1M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
NIAID NIH HHS R01 AI112339NIDDK NIH HHS P30 DK111024NIEHS NIH HHS DP1 ES025459
6 · The paper itself

Abstract

objectivesThe translation of lifestyle intervention to improve glucose tolerance into the workplace has been rare. The objective of this meta-analysis is to summarize the evidence for the effectiveness of dietary interventions in worksite settings on lowering blood sugar levels.

methodsWe searched for studies in PubMed, Embase, Econlit, Ovid, Cochrane, Web of Science, and Cumulative Index to Nursing and Allied Health Literature. Search terms were as follows: (1) Exposure-based: nutrition/diet/dietary intervention/health promotion/primary prevention/health behavior/health education/food /program evaluation; (2) Outcome-based: diabetes/hyperglycemia/glucose/HbA1c/glycated hemoglobin; and (3) Setting-based: workplace/worksite/occupational/industry/job/employee. We manually searched review articles and reference lists of articles identified from 1969 to December 2016. We tested for between-studies heterogeneity and calculated the pooled effect sizes for changes in HbA1c (%) and fasting glucose (mg/dl) using random effect models for meta-analysis in 2016.

resultsA total of 17 articles out of 1663 initially selected articles were included in the meta-analysis. With a random-effects model, worksite dietary interventions led to a pooled -0.18% (95% CI, -0.29 to -0.06; P<0.001) difference in HbA1c. With the random-effects model, the interventions resulted in 2.60 mg/dl lower fasting glucose with borderline significance (95% CI: -5.27 to 0.08, P=0.06). In the multivariate meta-regression model, the interventions with high percent of female participants and that used the intervention directly delivered to individuals, rather the environment changes, were associated with more effective interventions.

conclusionWorkplace dietary interventions can improve HbA1c. The effects were larger for the interventions with greater number of female participants and with individual-level interventions.

Indexed as

AdultBlood GlucoseDiabetes Mellitus, Type 2Diet TherapyFemaleGlycated HemoglobinHumansMaleOccupational DiseasesProgram EvaluationRisk Reduction BehaviorWorkplaceBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanGlucoseHbA1cMeta-analysisType 2 diabetesWorksite

Identifiers

PMID29187673
PMCPMC5799099
OpenAlexW2769470544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.