Evidence map›Paper›PMID 40859821›Full record

ArticlePublic health nutrition2025

Codesigning the South Asian Diet and Activity Intervention (SADAI): process and outcomes.

Sherly Mathew Parackal, Sivamanoj Yadav Boyina, Rachel Brown

Abstract read
In one paragraph

Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Sherly Mathew ParackalCentre for International Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-2356-1014
Sivamanoj Yadav BoyinaCentre for International Health, University of Otago, Dunedin, New Zealand.
Rachel BrownDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study outlines the development of a codesigned, coproduced intervention to address the high risk of diet-related non-communicable diseases (NCD) among South Asians (SA) in New Zealand. The objectives were to identify: (1) reasons, concerns and perceptions influencing dietary changes post-migration; (2) preferred formats and delivery modes for the intervention; (3) intervention design features; (4) community volunteers for coproduction; and (5) coproduce the intervention components.

designParticipatory Action Research.

settingSA communities in Auckland and Dunedin, New Zealand.

participantsSA immigrants aged 25-59 years. Ten telephone or face-to-face interviews were conducted between 2018 and 2019. Following this, one codesign workshop (

resultsThematic analysis revealed factors such as children's preference for boxed cereals and limited time for traditional breakfasts contributed to poor dietary habits. Concerns included meal timing and long-term weight gain, while perceptions such as all home-cooked food is healthy, influenced a lack of concern for long-term health. Preferred formats were educational comics and video clips, with digital platforms as the delivery mode. The workshop helped choose comic characters and identify community members to coproduce video content. The final intervention included eleven comics, eight videos, twelve audio clips and eighteen scientific snippets, organised into five dietary and one physical activity module.

conclusionsA participatory approach proved feasible for codesigning a culturally tailored lifestyle intervention to address diet-NCD risks in the SA diaspora in New Zealand.

Indexed as

DietEmigrants and ImmigrantsExerciseHealth PromotionNoncommunicable DiseasesSouth Asian PeopleAdultAsia, SouthernCommunity-Based Participatory ResearchDiet, HealthyFeeding BehaviorFemaleHumansMaleMiddle AgedNew ZealandCodesignCoproduceDiet-related NCDIntervention developmentSouth Asians

Identifiers

PMID40859821
PMCPMC12516638

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LicenceCC BY
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Registered trials

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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.