{"doi":"10.1016/j.dialog.2025.100238","title":"Home-learning environment and cognitive and academic outcomes among children aged 4–8 years: A cross-sectional study from South India","abstract":"Purpose: Home-learning environment is critical for cognitive and academic outcomes; yet its impact during the 4-8 years' period remains underexplored, especially in the Global South. This study examines the relationship between the home-learning environment and children's fluid intelligence and early language numeracy outcomes in urban poor households in Bangalore, South India. Methods: We analysed data from 940 mother-child dyads from the MAASTHI birth cohort when children were 4-8-years old. The Family Care Indicators (FCI) tool assessed the home-learning environment, Raven's Coloured Progressive Matrices (RCPM) measured children's fluid-intelligence, and the preschool Annual Status of Education Report (ASER) tool measured literacy-numeracy skills. Multilevel linear regression models, adjusted for household, maternal, and child factors, were used to examine the associations. Results: Higher levels of parental education, maternal Intelligence Quotient, and lower maternal depressive symptoms were significantly associated with better cognitive and early language outcomes. A stimulating home-learning environment characterized by the availability of ≥6 age-appropriate books, higher levels of caregiver engagement, and higher overall home environment scores (FCI-Total) was linked to better non-verbal fluid intelligence and early language scores during 4-8 years of age. However, these factors were not significantly associated with numeracy. Conclusion: This study underscores the sustained benefits of a stimulating home-learning environment in urban poor settings on children's cognitive and academic outcomes between 4 and 8 years of age. Our results reinforce the need for interventions that promote caregiver engagement and access to a variety of books and toys to optimize child outcomes in marginalized settings.","journal":"Dialogues in Health","year":2025,"id":526789,"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":0.9573,"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":1070455,"name":"Debarati Mukherjee","orcid":"0000-0003-3473-6537","position":1,"is_corresponding":false},{"id":1402892,"name":"Pradeep Kumar Choudhury","orcid":"0000-0001-7378-9426","position":2,"is_corresponding":false},{"id":762268,"name":"Giridhara R. Babu","orcid":"0000-0003-4370-8933","position":3,"is_corresponding":false},{"id":1201051,"name":"Prashanth Nuggehalli Srinivas","orcid":"0000-0003-0968-0826","position":4,"is_corresponding":false},{"id":883153,"name":"Onno C. P. van Schayck","orcid":"0000-0002-3016-1476","position":5,"is_corresponding":false},{"id":762271,"name":"Eunice Lobo","orcid":"0000-0002-0621-9295","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-19T02:50:34.851930Z","pmid":"40995067","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":[]}