{"doi":"10.1111/ijpo.70031","title":"The impact of community‐based childhood obesity prevention interventions in Australia by socio‐economic position: An individual participant data meta‐analysis","abstract":"INTRODUCTION: Community-based interventions (CBIs) to prevent childhood obesity show promise in reducing body mass index z-scores (zBMI). Assessing whether this approach produces equitable outcomes across socio-economic sub-groups is typically limited by inadequate sample size. This study aimed to assess the effectiveness of CBIs on zBMI and weight-related behaviours by socio-economic position (SEP). METHODS: Individual participant data meta-analysis using seven Australian childhood obesity prevention CBIs conducted between 2003 and 2022. Trials used consistent intervention approaches, objectively measured height and weight, and self- or parent-reported behaviours, and lasted 2-4 years. Area-level SEP was estimated using Australian Index of Relative Socio-economic Advantage and Disadvantage tertiles based on home or school postcodes. Multi-level linear and logistic models estimated the intervention effect on zBMI and behaviours across SEP levels. RESULTS: While zBMI scores increased across all groups, the increase was significantly greater in control compared to intervention students (difference: -0.036 [95%CI -0.065, -0.007]), among the 25 346 observations analysed. The effect of CBIs was greater in low compared to high SEP students (intervention effect difference = -0.10 [95%CI -0.18, -0.02]). DISCUSSION: Obesity prevention CBIs may have greater impacts among children from low SEP areas, potentially contributing to reducing health inequities. Further research is needed to understand barriers to improving weight-related behaviours across socio-economic groups.","journal":"Pediatric Obesity","year":2025,"id":532555,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9555,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1234918,"name":"Kathryn Backholer","orcid":"0000-0002-3323-575X","position":1,"is_corresponding":false},{"id":326089,"name":"Steven Allender","orcid":"0000-0002-4842-3294","position":2,"is_corresponding":false},{"id":1053181,"name":"Vicki Brown","orcid":"0000-0003-2891-9476","position":3,"is_corresponding":false},{"id":587891,"name":"Liliana Orellana","orcid":"0000-0003-3736-4337","position":4,"is_corresponding":false},{"id":635876,"name":"Rachel Novotny","orcid":"0000-0002-9503-9471","position":5,"is_corresponding":false},{"id":64788,"name":"Luke Wolfenden","orcid":"0000-0002-6178-3868","position":6,"is_corresponding":false},{"id":587897,"name":"Marj Moodie","orcid":"0000-0001-6890-5250","position":7,"is_corresponding":false},{"id":326092,"name":"Melanie Nichols","orcid":"0000-0002-7834-5899","position":8,"is_corresponding":false},{"id":1413685,"name":"Jane Jacobs","orcid":"0000-0002-3722-9672","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":null,"created_at":"2026-07-19T02:51:23.237536Z","pmid":"40537439","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}