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Record W4224238503 · doi:10.1136/bmjopen-2021-059914

Building knowledge, optimising physical and mental health and setting up healthier life trajectories in South African women (<i>Bukhali</i>): a preconception randomised control trial part of the Healthy Life Trajectories Initiative (HeLTI)

2022· article· en· W4224238503 on OpenAlexafffundabout
Shane A. Norris, Catherine E. Draper, Alessandra Prioreschi, Cornelius M. Smuts, Lisa J. Ware, Cindy‐Lee Dennis, Philip Awadalla, Diego G. Bassani, Zulfiqar A Bhutta, Laurent Briollais, D. William Cameron, Tobias Chirwa, Barbara Fallon, Clive M. Gray, Jill Hamilton, Jenny Jamison, Heather B. Jaspan, Jennifer M. Jenkins, Kathleen Kahn, André Pascal Kengne, Estelle V. Lambert, Naomi Levitt, Marie‐Claude Martin, Michèle Ramsay, Daniel Roth, Stephen W. Scherer, Daniel Sellen, Wiedaad Slemming, Deborah M. Sloboda, Moshe Szyf, Stephen Tollman, Mark Tomlinson, Suzanne Tough, Stephen G. Matthews, Linda Richter, Stephen J. Lye

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsMcGill UniversityMcMaster UniversityHospital for Sick ChildrenOttawa HospitalLunenfeld-Tanenbaum Research InstituteUniversity of TorontoCentre for Global Health ResearchAlberta Children's HospitalRed River CollegeOntario Institute for Cancer Research
FundersMedical Research CouncilCanadian Institutes of Health ResearchSouth African Medical Research Council
KeywordsMedicineOverweightGerontologyMental healthRandomized controlled trialObesityBody mass indexPsychological interventionEnvironmental healthFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction South Africa’s evolving burden of disease is challenging due to a persistent infectious disease, burgeoning obesity, most notably among women and rising rates of non-communicable diseases (NCDs). With two thirds of women presenting at their first antenatal visit either overweight or obese in urban South Africa (SA), the preconception period is an opportunity to optimise health and offset transgenerational risk of both obesity and NCDs. Methods and analysis Bukhali is the first individual randomised controlled trial in Africa to test the efficacy of a complex continuum of care intervention and forms part of the Healthy Life Trajectories Initiative (HeLTI) consortium implementing harmonised trials in Canada, China, India and SA. Starting preconception and continuing through pregnancy, infancy and childhood, the intervention is designed to improve nutrition, physical and mental health and health behaviours of South African women to offset obesity-risk (adiposity) in their offspring. Women aged 18–28 years (n=6800) will be recruited from Soweto, an urban-poor area of Johannesburg. The primary outcome is dual-energy X-ray absorptiometry derived fat mass index (fat mass divided by height 2 ) in the offspring at age 5 years. Community health workers will deliver the intervention randomly to half the cohort by providing health literacy material, dispensing a multimicronutrient supplement, providing health services and feedback, and facilitating behaviour change support sessions to optimise: (1) nutrition, (2) physical and mental health and (3) lay the foundations for healthier pregnancies and early child development. Ethics and dissemination Ethical approval has been obtained from the Human Ethics Research Committee University of the Witwatersrand, Johannesburg, South Africa (M1811111), the University of Toronto, Canada (19-0066-E) and the WHO Ethics Committee (ERC.0003328). Data and biological sample sharing policies are consistent with the governance policy of the HeLTI Consortium ( https://helti.org ) and South African government legislation (POPIA). The recruitment and research team will obtain informed consent. Trial registration This trial is registered with the Pan African Clinical Trials Registry ( https://pactr.samrc.ac.za ) on 25 March 2019 (identifier: PACTR201903750173871). Protocol version 20 March 2022 (version #4). Any protocol amendments will be communicated to investigators, Institutional Review Board (IRB)s, trial participants and trial registries.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.390
Teacher spread0.329 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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

Citations58
Published2022
Admission routes3
Has abstractyes

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