Associations between maternal diet, family eating habits and preschool children's dietary patterns: insights from the UPBEAT trial

Identifier:  imarina:9386596

Handle: https://hdl.handle.net/20.500.11797/imarina9386596

Authors:  Luque, V; Mucarzel, F; Hertogs, A; Seed, PT; Flynn, AC; Poston, L; Dalrymple, KV

Abstract:
BackgroundDietary behaviours in early life often track across the life course, influencing the development of adverse health outcomes such as obesity and cardiovascular disease. This study aimed to explore the between dietary patterns (DP) in preschool children and maternal DP and family eating habits.MethodsWe conducted a secondary analysis of 488 mother-child pairs from the UK pregnancy Better Eating and Activity Trial (UPBEAT) at 3-year follow-up. Previously published DP from mothers and children (derived from food-frequency questionnaires and exploratory factor analysis) were used. Mothers' DP were "Fruits-Vegetables", "African-Caribbean", "Processed and Snacks", and children's DP were "Prudent", "Processed-Snacking", and "African-Caribbean". Family meal environments were evaluated using a 5-point Likert scale.ResultsLinear regression models revealed that child's prudent pattern was positively associated with maternal Fruits-Vegetables (B = 0.18 (0.08, 0.27)), Snacks patterns (B = 0.10 (0.01, 0.18)), and eating the same foods during meals (B = 0.25 (0.07, 0.43)). Child's Processed-Snacking pattern was directly associated with maternal Processed (B = 0.22 (0.13, 0.30)) and Snacks (B = 0.27 (0.18, 0.36)) patterns, receiving food as reward (B = 0.22 (0.04, 0.39)) and watching TV during meals (B = 0.27 (0.09, 0.45)). Finally, the child African-Caribbean pattern was directly associated with that from the mother (B = 0.41 (0.33, 0.50)) and watching TV during meals (B = 0.15 (0.09, 0.30)), and inversely associated with maternal processed (B=-0.09 (-0.17, -0.02)) and snacking (B=-0.08 (-0.15, -0.04)) patterns.ConclusionsUnhealthy dietary patterns in childhood are directly linked to similar maternal patterns and family meal behaviours, such as television viewing and food rewards. These findings highlight targetable behaviours for public health interventions.