Evidence map›Paper›PMID 41220386›Full record

ArticleJMIR research protocols2025

Life Course Trajectories for Young Pasifika in Aotearoa: Protocol for the 25-Year Follow-Up of the Pacific Islands Families Study Cohort.

El-Shadan Tautolo, Tugce Bakir-Demir, Shabnam Jalili-Moghaddam, Faasisila Savila, Jesse Kokaua, Philip J Schluter, Maulupeivao Betty Ofe-Grant, Elaine Rush, Jalal Mohammed, Sione Vaka and 7 more

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

El-Shadan TautoloFaculty of Health and Environmental Sciences, Auckland University of Technology, AUT South Campus, MB Building, 640 Great South Road, Auckland, 2202, New Zealand, 64 9219999, ext 7527.ORCID 0000-0001-8444-6410
Tugce Bakir-DemirFaculty of Health and Environmental Sciences, Auckland University of Technology, AUT South Campus, MB Building, 640 Great South Road, Auckland, 2202, New Zealand, 64 9219999, ext 7527.ORCID 0000-0001-6979-7781
Shabnam Jalili-MoghaddamFaculty of Health and Environmental Sciences, Auckland University of Technology, AUT South Campus, MB Building, 640 Great South Road, Auckland, 2202, New Zealand, 64 9219999, ext 7527.ORCID 0000-0001-8159-9817
Faasisila SavilaFaculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9341-0460
Jesse KokauaCentre for Pacific Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-8740-1277
Philip J SchluterFaculty of Health, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0001-6799-6779
Maulupeivao Betty Ofe-GrantFaculty of Business, Economics and Law, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0003-0535-3596
Elaine RushFaculty of Health and Environmental Sciences, Auckland University of Technology, AUT South Campus, MB Building, 640 Great South Road, Auckland, 2202, New Zealand, 64 9219999, ext 7527.ORCID 0000-0001-7713-6203
Jalal MohammedFaculty of Health, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-7665-7266
Sione VakaDivision of Health, University of Waikato, Hamilton, New Zealand.ORCID 0000-0002-8791-7131
Jemaima Tiatia-SiauFaculty of Arts and Education, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-2757-3354
Radilaite CammockFaculty of Health and Environmental Sciences, Auckland University of Technology, AUT South Campus, MB Building, 640 Great South Road, Auckland, 2202, New Zealand, 64 9219999, ext 7527.ORCID 0000-0001-6416-9583
Braden Te AoFaculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-1050-200X
Jacinta Fa'alili-FidowMoana Connect, Auckland, New Zealand.ORCID 0000-0002-1080-6089
'Ilaisaane M E FifitaFaculty of Business, Economics and Law, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0002-0367-3046
Sam ManuelaFaculty of Science, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-4030-3490
Leon IusitiniFaculty of Business, Economics and Law, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0003-0635-7900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: From birth, many young Pacific people in Aotearoa New Zealand experience a disproportionately high burden of psychological distress, metabolic disease, and socioeconomic disparities within education and employment which contribute to significant health inequalities. Further research is needed to understand the drivers influencing these outcomes. Objective: This paper provides a comprehensive overview of the quantitative component of the Pacific Island Families Study: Ala mo Tupulaga Pasifika Aotearoa (PIF:ATP; Life Course Trajectories for Young Pasifika in Aotearoa), the latest follow-up of the longitudinal PIF birth cohort study, which uses a mixed-methods approach. Methods: The PIF Study is a multidisciplinary longitudinal study that tracks the health and development of 1398 Pacific children born in 2000 at Middlemore Hospital, South Auckland, Aotearoa, New Zealand. Data collection has occurred at 10 time points from infancy through young adulthood, with this PIF:ATP assessment phase occurring at ages 25-26 years, which aims to reach at least 750 cohort members. The assessments will take place at participants' homes or at Auckland University of Technology for those residing in Auckland. Data collection will be conducted across multiple sites, including Auckland, Wellington, Hamilton, and Whangārei in Aotearoa New Zealand, as well as Brisbane, Sydney, and Melbourne in Australia. Physical measurements such as weight, height, waist and hip circumferences, grip strength, body fat mass and muscle mass, blood pressure and pulse, glucose and lipid screening, and skin carotenoid concentration will be undertaken. In addition, self-reported data will be collected on psychological well-being (eg, depression, anxiety, and family functioning), nutritional and metabolic well-being (eg, food intake and physical activity), and economic well-being (eg, educational attainment, employment status, and job occupation and industry). Results: Data collection is scheduled to commence in June 2025 and conclude by December 2026. The first set of results and analysis is expected to be published from December 2027 onward. Reporting of all results will comply with the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines. Conclusions: This paper presents the protocol for the 25-year follow-up of the first Pacific longitudinal cohort study, which will comprehensively examine psychological, nutritional, metabolic, and economic well-being of Pacific young adults. With 25 years of longitudinal data and extensive expertise in life course research, this protocol outlines the design, methodology, and scope of the quantitative component of the PIF:ATP research program. This phase is uniquely positioned to address key issues identified by Pacific communities and generate evidence to inform meaningful interventions and guide policy development while providing robust, contemporary, high-quality empirical evidence.

Indexed as

Pacific Island PeoplePopulation HealthAdolescentAdultChildChild, PreschoolCohort StudiesFemaleFollow-Up StudiesHumansInfantLongitudinal StudiesMaleNew ZealandObservational Studies as TopicPacific Islandsdeterminants of healtheconomic wellbeinglife course epidemiologylongitudinal researchnutritional and metabolic wellbeingpacific youth healthprotocolpsychological wellbeing

Identifiers

PMID41220386
PMCPMC12605272

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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.