SynthesisJournal of occupational health2024
Interventions in the workplace to reduce risk factors for noncommunicable diseases: an umbrella review of systematic reviews of effectiveness.
Synthesis in Journal of occupational health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Article
- Employee expectations towards employer-provided workplace health promotion and mental health support: a 2025 cross-sectional survey.Frontiers in public health · 2026Article
- Effectiveness of workplace interventions for health promotion.The Lancet. Public health · 2025Review
- Impact of Virtual Training for Peer Educators on Health Literacy Among Garment Industry Workers in South India.Indian journal of occupational and environmental medicineArticle
- The social relevance of occupational medical examinations in Brazil.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMTArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundWorkplaces are an important setting to deliver programs to reduce risk factors for noncommunicable diseases (NCDs). To help decision makers understand the most current and relevant evidence regarding effectiveness of workplace programs, we conducted an umbrella review to present a comprehensive synthesis of the large volume of literature.
methodsSystematic reviews of workplace interventions targeting primary risk factors for NCDs-unhealthy diet, insufficient physical activity, overweight/obesity, tobacco use, and/or excessive alcohol use-published since 2010 were sourced. For each risk factor, reviews were categorized by intervention type and quality. The most recent, high-quality review was included for each intervention type. Evidence for the effectiveness of each intervention type was then broadly classified based on the review summary findings.
resultsTwenty-one reviews were included. Most reviews focused on diet (n = 5), physical activity (n = 7), or obesity (n = 9) interventions, with fewer targeting alcohol (n = 2) or tobacco (n = 2) use. Reviews of interventions focusing on individual behavior (such as education or counseling) were most common. Across diet, obesity, physical activity, and tobacco use, multicomponent interventions were consistently likely to be classified as "likely effective." Motivational interviewing and broad health promotion interventions were identified as "promising" for alcohol use.
conclusionThis umbrella review identified that multicomponent workplace interventions were effective to reduce NCD risk factors. There is a gap around interventions targeting alcohol use as most syntheses lacked enough studies to draw conclusions about effectiveness. Exploring the impact of interventions that utilize policy and/or environmental strategies is a critical gap for future research.
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Registered trials
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.