Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton Women’s Survey
Year: 2022
Type: article
Abstract: There is increasing interest in modelling longitudinal dietary data and classifying individuals into subgroups (latent classes) who follow similar trajectories over time. These trajectories could identify population groups and time points amenable to dietary interventions. This paper aimed to provide a comparison and overview of two latent class methods: group-based trajectory modelling (GBTM) and growth mixture modelling (GMM). Data from 2963 mother-child dyads from the longitudinal Southampton Women's Survey were analysed. Continuous diet quality indices (DQI) were derived using principal component analysis from interviewer-administered FFQ collected in mothers pre-pregnancy, at 11- and 34-week gestation, and in offspring at 6 and 12 months and 3, 6-7 and 8-9 years. A forward modelling approach from 1 to 6 classes was used to identify the optimal number of DQI latent classes. Models were assessed using the Akaike and Bayesian information criteria, probability of class assignment, ratio of the odds of correct classification, group membership and entropy. Both methods suggested that five classes were optimal, with a strong correlation (Spearman's = 0·98) between class assignment for the two methods. The dietary trajectories were categorised as stable with horizontal lines and were defined as poor (GMM = 4 % and GBTM = 5 %), poor-medium (23 %, 23 %), medium (39 %, 39 %), medium-better (27 %, 28 %) and best (7 %, 6 %). Both GBTM and GMM are suitable for identifying dietary trajectories. GBTM is recommended as it is computationally less intensive, but results could be confirmed using GMM. The stability of the diet quality trajectories from pre-pregnancy underlines the importance of promotion of dietary improvements from preconception onwards.
Source: British Journal Of Nutrition
Institutions: King's College London, Southampton General Hospital, University of Southampton, University Hospital Southampton NHS Foundation Trust, National Institute for Health and Care Research, NIHR Southampton Biomedical Research Centre, University of Oxford, NIHR Oxford Biomedical Research Centre
Language: English
Topic: Nutritional Studies and Diet
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,255
Funders: Danone, University Hospital Southampton NHS Foundation Trust, National Institute for Health and Care Research, British Heart Foundation, Dunhill Medical Trust, Academy of Medical Sciences, University of Southampton, European Commission, Nestec, National Institute for Health Research Southampton Biomedical Research Centre, Medical Research Council
Awards: G1093531541, G1321528303, Programme 1: Musculoskeletal health in later life, G1659327504, G2125390887, Vitamin D supplementation in pregnancy: A systematic review, G2473961061, Statistical modelling to characterise the dietary determinants of health outcomes in mothers and their children., G3207356259, G3381566145, NIHR Senior Investigator Award, Early-life stressors and LifeCycle health, G393177772, G434337789, NIHR Senior Investigator Award, Programme 3: Early development and risk of adult musculoskeletal disease, G5009606421, Sarcopenia, Frailty and Clinical Practice in Older People, NIHR Senior Investigator Award, G5435949906, G5702163051, G587834012, Establishment of a National Network on Musculoskeletal Ageing, Lifecourse Determinants of Bone and Joint Disease, Nudging healthier dietary habits: evaluation of a supermarket placement strategy in the WRAPPED study, NIHR Senior Investigator Award, The influence of the physical food environment and psychosocial factors on dietary inequalities among women in Hampshire, G7295670324, G7388601084, MRC Lifecourse Epidemiology Centre - Core Support, G7915200173, Nutrition, Development and Lifelong Health: Studies in European Populations, Maternal vitamin B12, folic acid and homocysteine as determinants of gestational diabetes, fetal growth and intergenerational programming of diabesity, G8651793750, Long-term effects of early nutrition on later health
OpenAlex ID: W4291819355