Evidence map›Paper›PMID 31838733›Full record

ArticleInternational archives of occupational and environmental health2020

Pesticide exposure and diabetes mellitus in a semi-urban Nepali population: a cross-sectional study.

Martin Rune Hassan Hansen, Bishal Gyawali, Dinesh Neupane, Erik Jørs, Annelli Sandbæk, Per Kallestrup, Vivi Schlünssen

Open access · goldAbstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Occupational safety and health in traditional date palm works.International archives of occupational and environmental health · 2021
    Article
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

7 authors at 4 institutions in 2 countries.

Martin Rune Hassan HansenDepartment of Public Health, Section for Environment, Work and Health, Danish Ramazzini Centre, Aarhus University, Building 1260, Bartholins Allé 2, 8000, Aarhus C, Denmark. martinrunehassanhansen@ph.au.dk.ORCID 0000-0001-9681-2393
Bishal GyawaliDepartment of Public Health, Center for Global Health (GloHAU), Aarhus University, Bygning 1260, Bartholins Allé 2, 8000, Aarhus C, Denmark.ORCID 0000-0002-8315-1925
Dinesh NeupaneNepal Development Society, Bharatpur-10, Chitwan, Nepal.ORCID 0000-0002-1501-2990
Erik JørsDepartment of Occupational Medicine, Odense University Hospital, Kløvervænget 3, Indgang 138, 5000, Odense, Denmark.
Annelli SandbækSection of General Practice, Department of Public Health, Aarhus University, Bygning 1260, Bartholins Allé 2, 8000, Aarhus C, Denmark.
Per KallestrupDepartment of Public Health, Center for Global Health (GloHAU), Aarhus University, Bygning 1260, Bartholins Allé 2, 8000, Aarhus C, Denmark.ORCID 0000-0001-6041-4510
Vivi SchlünssenDepartment of Public Health, Section for Environment, Work and Health, Danish Ramazzini Centre, Aarhus University, Building 1260, Bartholins Allé 2, 8000, Aarhus C, Denmark.ORCID 0000-0003-4915-1734
Aarhus University · DKJohns Hopkins University · USOdense University Hospital · DKUniversity of Copenhagen · DK

Funding

Aarhus Universitets Forskningsfond 19439Aarhus Universitets Forskningsfond 81231Aarhus University Graduate School of Health 12561The National Research Center for the Working Environment 10322
6 · The paper itself

Abstract

objectiveEpidemiological studies suggest exposure to pesticides to be related to risk of diabetes mellitus. The objective of the present study was to assess the association between pesticide use and diabetes mellitus in a semi-urban population in Nepal.

methodsWe conducted a nested cross-sectional study on pesticides and diabetes mellitus in a population-based cohort from the former Lekhnath Municipality, Nepal. 2643 persons were invited, and 2310 persons participated (response rate 87.4%). All participants were tested for fasting plasma glucose. Diabetes mellitus was defined as either fasting plasma glucose (FPG) ≥ 7.0 mmol/L (126 mg/dL) or self-reported diagnosis of diabetes mellitus. Exposure to pesticides was determined by questionnaire. For the exposed persons, three exposure metrics (years of exposure, weeks of exposure per year and hours of exposure per week) were categorized and used to model exposure-response relationships.

resultsAlthough 62% of participants reported to be exposed to pesticides, the frequency and intensity of pesticide usage was low. Contrary to our hypothesis, we found lower odds of diabetes mellitus among persons reporting any pesticide use compared to those reporting no use of pesticides-adjusted odds ratio with 95% CI = 0.68 [0.52; 0.90]. However, we found no clear exposure-response relationships between pesticide exposure and neither diabetes mellitus nor FPG, and few and inconsistent associations were seen between pesticide exposure and symptoms of acute pesticide intoxication.

conclusionsThe apparently lower odds of diabetes mellitus among pesticide-exposed persons in this population are probably due to residual confounding. Our results do not seem to support an association between pesticide exposure and diabetes mellitus in this low-exposed population dominated by subsistence farmers, although results should be interpreted with caution in light of the study limitations.

Indexed as

AdultBlood GlucoseCohort StudiesCross-Sectional StudiesDiabetes MellitusFarmersFemaleHumansMaleMiddle AgedNepalOccupational ExposurePesticidesSurveys and QuestionnairesBlood GlucosePesticidesBlood glucoseDiabetes mellitusFungicideHerbicideInsecticidePesticide

Identifiers

PMID31838733
OpenAlexW2995402558

What OpenQuestion holds

Textmetadata
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.