Evidence map›Paper›PMID 39112995›Full record

Observational studyBMC public health2024

Correlates of lifestyle patterns among children in Singapore aged 10 years: the growing up in Singapore towards healthy outcomes (GUSTO) study.

Sarah Yi Xuan Tan, Airu Chia, Bee Choo Tai, Jia Ying Toh, Marjorelee Colega, Natarajan Padmapriya, Peipei Setoh, Michelle Zhi Ling Kee, Wen Lun Yuan, Yung Seng Lee and 8 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

18 authors.

Sarah Yi Xuan TanSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore.
Airu ChiaSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore.
Bee Choo TaiSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore.
Jia Ying TohSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Marjorelee ColegaSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Natarajan PadmapriyaSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore.
Peipei SetohDepartment of Psychology, Nanyang Technological University, Singapore, Singapore.
Michelle Zhi Ling KeeSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Wen Lun YuanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Yung Seng LeeSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Benny Kai Guo LooDepartment of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.
Fabian Kok Peng YapDepartment of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.
Kok Hian TanDepartment of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
Yap Seng ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Johan ErikssonSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Falk Müller-Riemenschneider *Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore.
Mary Foong-Fong Chong *Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, Singapore, #09-01Q, 117549, Singapore. mary_chong@nus.edu.sg.

Funding

Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

objectiveTo characterise lifestyle patterns (comprising dietary and movement behaviour aspects) of children in Singapore and examine the correlates of these patterns.

designAn observational study approach was used. Children recorded their diet and activities over two weekdays and two weekend days on a validated web-based assessment, My E-Diary for Activities and Lifestyle (MEDAL). Lifestyle patterns were derived using principal component analysis, and the correlations of these with multiple known determinants organised by distal, intermediate, and proximal levels of influence were studied.

settingChildren of the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort.

participantsTen-year-old children (n = 397).

resultsThree lifestyle patterns, "high snacks and processed food", "balanced" and "mixed", were identified. We focused on the more health-promoting "balanced" pattern, characterised by lower screen-viewing and higher consumption of fruits, vegetables, wholegrains, and dairy. Among the distal factors, girls were more adherent to the "balanced" pattern compared to boys, and children of parents with lower education levels were less adherent to this pattern. Among intermediate factors, children of mothers with higher diet quality were more adherent to the "balanced" pattern. Among the proximal factors, engagement in active transport, leisure sports, and educational activities outside of school were positively associated with the "balanced" pattern, whereas screen-viewing while travelling was negatively associated with this pattern. Having siblings, pet ownership, mother's physical activity, parenting style, parental bonding, child's outdoor time, and breakfast consumption were not associated with children's lifestyle patterns.

conclusionsThese findings provide direction for future interventions by identifying vulnerable groups and contexts that should be prioritised.

Indexed as

Life StyleChildDietExerciseFemaleHumansMaleSingaporeAsiaChildrenCorrelatesDietLifestyle patternPhysical activityScreen-viewingSleep

Identifiers

PMID39112995
PMCPMC11308686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.