Pairwise approach for analysis and reporting of child's free sugars intake from a birth cohort study.

Autor: Nguyen HV; Health Innovation and Transformation Centre, Federation University, Ballarat, Victoria, Australia.; School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.; Department of Population and Quantitative Health Sciences, The University of Massachusetts Medical School, Worcester, Massachusetts, USA., Ha DH; School of Dentistry, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia., Dao ATM; Department of Population and Quantitative Health Sciences, The University of Massachusetts Medical School, Worcester, Massachusetts, USA.; School of Dentistry, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia., Golley RK; Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia., Scott JA; School of Population Health, Curtin University, Perth, Western Australia, Australia., Spencer J; Australian Research Centre for Population Oral Health, University of Adelaide, Adelaide, South Australia, Australia., Bell L; Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia., Devenish-Coleman G; School of Population Health, Curtin University, Perth, Western Australia, Australia., Do LG; School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.; School of Dentistry, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia.
Jazyk: angličtina
Zdroj: Community dentistry and oral epidemiology [Community Dent Oral Epidemiol] 2023 Oct; Vol. 51 (5), pp. 820-828. Date of Electronic Publication: 2022 Jul 11.
DOI: 10.1111/cdoe.12770
Abstrakt: Objectives: The prospective cohort design is an important research design, but a common challenge is missing data. The purpose of this study is to compare three approaches to managing missing data, the pairwise (n = 1386 children), the partial or modified pairwise (n = 1019) and the listwise (n = 546), to characterize the trajectories of children's free sugars intake (FSI) across early childhood.
Methods: By applying the Group-based Trajectory Model Technique to three waves of data collected from a prospective cohort study of South Australian children, this study examined the three approaches in managing missing data to validate and discuss children's FSI trajectories.
Results: Each approach identified three distinct trajectories of child's FSI from 1 to 5 years of age: (1) 'low and fast increasing', (2) 'moderate and increasing' and (3) 'high and increasing'. The trajectory memberships were consistent across the three approaches, and were for the pairwise scenario (1) 15.1%, (2) 68.3% and (3) 16.6%; the partial or modified pairwise (1) 15.9%, (2) 64.1% and (3) 20.0%; and the listwise (1) 14.9%, (2) 64.9% and (3) 20.2% of children.
Conclusions: Given the comparability of the findings across the analytical approaches and the samples' characteristics between baseline and across different data collection waves, it is recommended that the pairwise approach be used in future analyses to optimize the sample size and statistical power when examining the relationship between FSI in the first years of life and health outcome such as dental caries.
(© 2022 The Authors. Community Dentistry and Oral Epidemiology published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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