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Record W3208980562 · doi:10.1101/2021.10.24.21265442

Orang Asli Health and Lifeways Project (OA HeLP): Study Protocol

2021· preprint· en· W3208980562 on OpenAlexaff
Ian J. Wallace, Amanda J. Lea, Yvonne Ai Lian Lim, Steven K. W. Chow, Izandis bin Mohd Sayed, Romano Ngui, Mohd Tajudin Haji Shaffee, Kee-Seong Ng, Colin Nicholas, Vivek V. Venkataraman, Thomas S. Kraft

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEnvironmental healthDiseaseGeographyIndigenousGerontologyMedicineEcologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT Introduction Non-communicable disease (NCD) risk is influenced by environmental factors that are highly variable worldwide, yet prior research has focused mainly on high-income countries where most people are exposed to relatively homogenous and static environments. Understanding the scope and complexity of environmental influences on NCD risk around the globe requires more data from people living in diverse and changing environments. Our project will investigate the prevalence and environmental causes of NCDs among the indigenous peoples of Peninsular Malaysia, known collectively as the Orang Asli, who are currently undergoing varying degrees of lifestyle and sociocultural changes that are predicted to increase vulnerability to NCDs, particularly metabolic disorders and musculoskeletal degenerative diseases. Methods Biospecimen sampling and screening for a suite of NCDs (e.g., cardiovascular disease, type II diabetes, osteoarthritis, osteoporosis), combined with detailed ethnographic work to assess key lifestyle and sociocultural variables (e.g., diet, physical activity, technology usage), will take place in Orang Asli communities spanning a gradient from remote, traditional villages to acculturated, market-integrated urban areas. Analyses will, first, test for relationships between environmental variables, NCD risk factors, and NCD occurrence to investigate how environmental changes are affecting NCD susceptibility among the Orang Asli. Second, we will examine potential molecular and physiological mechanisms (e.g., epigenetics, systemic inflammation) that mediate environmental effects on health. Third, we will identify intrinsic (e.g., age, sex) and extrinsic (e.g., early life experiences) factors that predispose certain people to NCDs in the face of environmental change to better understand which Orang Asli individuals are at greatest risk of NCDs. Ethics Approval was obtained from multiple ethical review boards including a committee at the Malaysian Ministry of Health. This study follows established principles for ethical biomedical research among vulnerable indigenous communities, including fostering collaboration, building cultural competency, enhancing transparency, supporting capacity building, and disseminating research findings. Strengths and Limitations of This Study Environmental influences on non-communicable disease (NCD) risk are understudied outside of high-income countries, particularly among societies transitioning from traditional, non-industrial lifestyles to market-integrated, urban lifestyles. This multidisciplinary project aims to better understand how rapid lifestyle and sociocultural changes are affecting NCD risk among the indigenous peoples of Peninsular Malaysia, known collectively as the Orang Asli. More broadly, this project aims to provide insights useful for understanding the rising prevalence of NCDs in other low- and middle-income countries and societies experiencing rapid environmental changes. This project might be limited by the SARS-CoV-2 pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.133
Threshold uncertainty score0.444

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.018
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0040.004
Open science0.0040.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1330.033

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.382
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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