Evidence map›Paper›PMID 39018103›Full record

ArticleJMIR research protocols2024

Rationale, Design, and Baseline Characteristics of Participants in the Health@NUS mHealth Augmented Cohort Study Examining Student-to-Work Life Transition: Protocol for a Prospective Cohort Study.

Xin Hui Chua, Sarah Martine Edney, Andre Matthias Müller, Nicholas A Petrunoff, Clare Whitton, Zoey Tay, Claire Marie Jie Lin Goh, Bozhi Chen, Su Hyun Park, Salome A Rebello and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05154227 (Health@NUS - Studying Health Behaviours and Well-being During the Student-to-Work Life Transition Using mHealth), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05154227 unknown statusnot on this map

Health@NUS - Studying Health Behaviours and Well-being During the Student-to-Work Life Transition Using mHealth

TypeobservationalSponsorNational University of SingaporeRan2020 to 2023Enrolled1,300ConditionsHealthy
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Observational
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

16 authors.

Xin Hui ChuaSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-7313-4681
Sarah Martine EdneySaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-3925-517X
Andre Matthias MüllerSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-5770-6723
Nicholas A PetrunoffSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-9464-2677
Clare WhittonSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.ORCID 0000-0003-1991-2432
Zoey TaySaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-6660-5980
Claire Marie Jie Lin GohSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-0122-9942
Bozhi ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-2874-1786
Su Hyun ParkSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-5527-7520
Salome A RebelloSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-6138-7999
Alicia LowHealth Promotion Board, Singapore Government, Singapore, Singapore.ORCID 0009-0008-8930-5893
Janelle ChiaHealth Promotion Board, Singapore Government, Singapore, Singapore.ORCID 0009-0006-7819-4572
Daphne KoekHealth Promotion Board, Singapore Government, Singapore, Singapore.ORCID 0009-0008-7480-5334
Karen CheongHealth Promotion Board, Singapore Government, Singapore, Singapore.ORCID 0000-0002-6982-4070
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-7354-8734
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-1402-7477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegration of mobile health data collection methods into cohort studies enables the collection of intensive longitudinal information, which gives deeper insights into individuals' health and lifestyle behavioral patterns over time, as compared to traditional cohort methods with less frequent data collection. These findings can then fill the gaps that remain in understanding how various lifestyle behaviors interact as students graduate from university and seek employment (student-to-work life transition), where the inability to adapt quickly to a changing environment greatly affects the mental well-being of young adults.

objectiveThis paper aims to provide an overview of the study methodology and baseline characteristics of participants in Health@NUS, a longitudinal study leveraging mobile health to examine the trajectories of health behaviors, physical health, and well-being, and their diverse determinants, for young adults during the student-to-work life transition.

methodsUniversity students were recruited between August 2020 and June 2022 in Singapore. Participants would complete biometric assessments and questionnaires at 3 time points (baseline, 12-, and 24-month follow-up visits) and use a Fitbit smartwatch and smartphone app to continuously collect physical activity, sedentary behavior, sleep, and dietary data over the 2 years. Additionally, up to 12 two-week-long bursts of app-based ecological momentary surveys capturing lifestyle behaviors and well-being would be sent out among the 3 time points.

resultsInterested participants (n=1556) were screened for eligibility, and 776 participants were enrolled in the study between August 2020 and June 2022. Participants were mostly female (441/776, 56.8%), of Chinese ethnicity (741/776, 92%), undergraduate students (759/776, 97.8%), and had a mean BMI of 21.9 (SD 3.3) kg/m

conclusionsThe findings from this study will provide detailed insights into the determinants and trajectories of health behaviors, health, and well-being during the student-to-work life transition experienced by young adults.

trial registrationClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/study/NCT05154227. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56749.

Indexed as

StudentsTelemedicineCohort StudiesEmploymentFemaleHealth BehaviorHumansLongitudinal StudiesMaleObservational Studies as TopicProspective StudiesResearch DesignSingaporeSurveys and QuestionnairesUniversitiesYoung Adultappapplicationbiometric assessmentcohort studydata collectiondietdietarydietary datadistressFitbithealth behaviorsmHealthmobile phonemovement behaviorsphysical healthpsychological distressquestionnaireSingaporesleepsmartphone appsmartwatchuniversity studentswearablewearableswell-beingyoung adults

Identifiers

PMID39018103
PMCPMC11292158

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.