Background: Tracking combinations of lifestyle behaviours during childhood (“lifestyle pattern trajectories”) can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort. Methods: Twelve lifestyle behaviours related to child’s diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders. Results: Among 546 children, two lifestyle patterns “healthy” and “unhealthy” were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18–7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27–3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13–0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20–1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group. Conclusion: Three distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children’s health and well-being from an early age. Trial registration: Trial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic.clinicaltrials.gov/ct2/show/NCT01174875. Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.

Energy balance-related behaviors (EBRBs), i.e., diet, sedentary behavior, physical activity, and sleep, combine into lifestyle patterns, which we aim to identify in French preschoolers and analyze their family correlates within the framework of a comprehensive socioecological model. Parental questionnaires provided information about family characteristics and children’s EBRBs for 978 5-year-olds of the EDEN cohort. We used principal component analysis to derive lifestyle patterns from EBRBs and hierarchical multivariable linear regressions to assess their associations with family socio-demographics, parent health/behaviors, and parent-child interactions. Analyses were stratified by sex. Of the three lifestyle patterns identified (unhealthy, healthy, and mixed), the mixed pattern differed the most between sexes. Lower parental education, suboptimal maternal diet, TV during meals, and later bedtime were associated with higher adherence to unhealthy patterns. Children cognitively stimulated at home and boys of mothers not employed adhered more to the healthy pattern. Older siblings (for girls) and higher engagement of parents in leisure-time physical activity (for boys) were related to greater adherence to mixed patterns. The identification of various correlates from multiple socioecological levels suggests that tackling the potentially synergistic effect of lifestyle patterns on health requires addressing processes relevant to the parent-child dimension and structural barriers parents may encounter.

Diet, screen time, physical activity, and sleep combine into lifestyle patterns with synergistic effects on health. This study aimed to identify lifestyle patterns in children without housing and assess their associations with physical and mental health and family socio-ecological factors. In the 2013 ENFAMS cross-sectional survey (children aged 6–12 experiencing homelessness, Greater Paris area, n = 235), parents reported socio-ecological factors, children’s behaviours, and mental health (the latter was also child-reported). Nurses measured children’s haemoglobin concentrations and body mass index. Principal component analysis was used to derive sex-specific lifestyle patterns. Hierarchical linear regressions and “outcome-wide” analyses assessed, respectively, these patterns’ relations to health and family socio-ecological factors. A rather healthy lifestyle pattern—similarly characterized by diverse diet and high sleep time—was identified, with slight differences by sex. Scores for this pattern were higher for children in food-secure or higher-income households, whose parents were proficient in French, who slept longer, or who received more social support compared to their counterparts, with some nuances by sex. Higher scores for this pattern were associated with higher prosocial behaviour scores (girls) and lower anxiety and hyperactivity–inattention symptoms scores (boys), but not with physical health. For this underserved and understudied population, the results highlight the importance of family socio-ecological factors in shaping the lifestyles and mental health of children.

Ultra-processed foods (UPFs) now contribute a substantial share of total energy intake. A growing body of evidence has linked UPF consumption to adverse health outcomes, but existing umbrella reviews are mainly restricted to studies published before mid-2023 and have seldom rigorously examined the shape of dose–response relationships, evaluating both linearity and nonlinearity. The aim of this study was to synthesize updated meta-analytic evidence on associations between UPF consumption and major health outcomes in children and adults. A narrative umbrella review synthesized meta-analyses of studies published through December 9, 2025. Outcomes included obesity, type 2 diabetes (T2D), cardio-cerebrovascular diseases (CCVDs), nonalcoholic fatty liver disease (NAFLD), cognition, mental health (anxiety and depression), dental health, cancer, and all-cause mortality. For each outcome, a lead meta-analysis was selected by comprehensiveness, recency, and methodological quality (separately for children and adults when feasible). Methodological quality was assessed using a ROBIS (Risk of Bias Assessment Tool for Systematic Reviews)-adapted tool. Certainty of evidence was rated with GRADE (Grading of Recommendations, Assessment, Development and Evaluation). Twelve lead meta-analyses (mainly from observational studies) covering 13 outcomes were identified (4/13 in children). Across all but 1 outcome, higher (vs lower) UPF consumption was associated with increased risk (see graphical abstract). Dose–response evidence indicated a 10% higher risk per 10% increase in UPF intake for T2D, a curvilinear risk increase for CCVDs, and no significant association for NAFLD; for other outcomes, rigorous dose–response analyses were lacking. Certainty of evidence was high for 1 outcome, moderate for 6, and low for 6 other outcomes. This updated umbrella review confirmed harmful associations of UPFs with multiple health outcomes, and added insights on children’s health, cognition, dental health, CCVDs, and dose–response. Despite remaining methodological gaps (including observational-based and nonrigorous dose–response analyses), current evidence supports population-wide strategies to reduce UPF intake. Systematic Review Registration: PROSPERO registration no. CRD420251230427.