Evidence map›Paper›PMID 36862623›Full record

ArticlePloS one2023

Co-Benefits of Largescale Organic farming On huMan health (BLOOM): Protocol for a cluster-randomised controlled evaluation of the Andhra Pradesh Community-managed Natural Farming programme in India.

Lindsay M Jaacks, Lilia Bliznashka, Peter Craig, Michael Eddleston, Alfred Gathorne-Hardy, Ranjit Kumar, Sailesh Mohan, John Norrie, Sheril Rajan, Aditi Roy and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 5 institutions in 2 countries.

Lindsay M JaacksGlobal Academy of Agriculture and Food Systems, The University of Edinburgh, Midlothian, United Kingdom.ORCID 0000-0002-7791-5167
Lilia BliznashkaGlobal Academy of Agriculture and Food Systems, The University of Edinburgh, Midlothian, United Kingdom.
Peter CraigMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-7653-5832
Michael EddlestonCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom.
Alfred Gathorne-HardyGlobal Academy of Agriculture and Food Systems, The University of Edinburgh, Midlothian, United Kingdom.
Ranjit KumarAgribusiness Management Division, ICAR-National Academy of Agricultural Research Management, Hyderabad, India.
Sailesh MohanPublic Health Foundation of India, New Delhi, India.ORCID 0000-0003-1853-3596
John NorrieUsher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Sheril RajanPublic Health Foundation of India, New Delhi, India.
Aditi RoyPublic Health Foundation of India, New Delhi, India.
Bharath YandrapuPublic Health Foundation of India, New Delhi, India.
Nikhil Srinivasapura VenkateshmurthyPublic Health Foundation of India, New Delhi, India.ORCID 0000-0003-4037-6371
Poornima PrabhakaranPublic Health Foundation of India, New Delhi, India.
Public Health Foundation of India · INUniversity of Edinburgh · GBCentre for Chronic Disease Control · INMRC/CSO Social and Public Health Sciences Unit · GBNational Academy of Agricultural Research Management · IN

Funding

Chief Scientist Office SPHSU17Medical Research Council MC_UU_00022/2Medical Research Council MR/T044527/1
6 · The paper itself

Abstract

The BLOOM study (co-Benefits of Largescale Organic farming On huMan health) aims to determine if a government-implemented agroecology programme reduces pesticide exposure and improves dietary diversity in agricultural households. To achieve this aim, a community-based, cluster-randomised controlled evaluation of the Andhra Pradesh Community-managed Natural Farming (APCNF) programme will be conducted in 80 clusters (40 intervention and 40 control) across four districts of Andhra Pradesh state in south India. Approximately 34 households per cluster will be randomly selected for screening and enrolment into the evaluation at baseline. The two primary outcomes, measured 12 months post-baseline assessment, are urinary pesticide metabolites in a 15% random subsample of participants and dietary diversity in all participants. Both primary outcomes will be measured in (1) adult men ≥18 years old, (2) adult women ≥18 years old, and (3) children <38 months old at enrolment. Secondary outcomes measured in the same households include crop yields, household income, adult anthropometry, anaemia, glycaemia, kidney function, musculoskeletal pain, clinical symptoms, depressive symptoms, women's empowerment, and child growth and development. Analysis will be on an intention-to-treat basis with an a priori secondary analysis to estimate the per-protocol effect of APCNF on the outcomes. The BLOOM study will provide robust evidence of the impact of a large-scale, transformational government-implemented agroecology programme on pesticide exposure and dietary diversity in agricultural households. It will also provide the first evidence of the nutritional, developmental, and health co-benefits of adopting agroecology, inclusive of malnourishment as well as common chronic diseases. Trial registration: Study registration: ISRCTN 11819073 (https://doi.org/10.1186/ISRCTN11819073). Clinical Trial Registry of India CTRI/2021/08/035434.

Indexed as

Organic AgriculturePesticidesAdolescentAdultAgricultureChildFarmsFemaleHumansIndiaInfantMaleRandomized Controlled Trials as TopicPesticides

Identifiers

PMID36862623
PMCPMC9980745
OpenAlexW4322757243

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.