{"doi":"10.21037/atm-20-4550","title":"Marriage contributes to higher obesity risk in China: findings from the China Health and Nutrition Survey","abstract":"BACKGROUND: To investigate the association between marriage and the prevalence of overweight and obesity in China. METHODS: We conducted cross-sectional and retrospective cohort analyses using a nationwide sample of 36,310 individuals from the China Health and Nutrition Survey [2004-2015]. RESULTS: The prevalence of overweight and obesity increased from 28.7% to 36.7% and from 8.0% to 14.5% between 2004 and 2015, respectively. The cross-sectional analysis showed that married individuals were at a higher risk of being overweight (OR =2.18; 95% CI, 1.90-2.51) or obese (OR =1.95; 1.57-2.43) than never-married individuals. Divorced/widowed individuals were also at a greater risk of being overweight (OR =1.80; 1.51-2.13) or obese (OR =1.67; 1.28-2.17) than never-married individuals. Retrospective cohort analysis showed that individuals who married during the study were 1.55 (1.13-2.11) times more likely to be overweight than those who remained never-married. Compared to those who remained never-married, individuals who remained married were 1.71 (1.42-2.07) and 1.45 (1.11-1.89) times more likely to be overweight and obese. Individuals who became divorced or widowed were more likely to be overweight (RR =1.59; 1.18-2.15) or obese (RR =1.63; 1.08-2.46) than those who remained never-married. However, the risk of being overweight or obese among those who became divorced or widowed did not differ significantly from the risk among those who remained married. CONCLUSIONS: Marriage contributes to an increased risk of overweight and obesity in China; however, this risk is not significantly reduced by exiting a marriage.","journal":"Annals of Translational Medicine","year":2021,"id":164865,"datarank":0.5456379239589579,"base_score":3.6375861597263857,"endowment":3.6375861597263857,"self_citation_contribution":0.5456379239589579,"citation_network_contribution":0.0,"self_endowment_contribution":0.5456379239589579,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":37,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8526,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":687089,"name":"Malgorzata Garstka","orcid":"0000-0003-2896-7275","position":1,"is_corresponding":false},{"id":687090,"name":"Zhonglin Chai","orcid":"0000-0001-8182-8579","position":2,"is_corresponding":false},{"id":687091,"name":"Yifan Chen","orcid":"0000-0002-1550-1663","position":3,"is_corresponding":false},{"id":687501,"name":"Veronika Lipkova","orcid":null,"position":4,"is_corresponding":false},{"id":927,"name":"Mark E. Cooper","orcid":"0000-0001-7785-2488","position":5,"is_corresponding":false},{"id":687092,"name":"Kingsley Katleho Mokoena","orcid":"0000-0003-2832-0746","position":6,"is_corresponding":false},{"id":460972,"name":"Youfa Wang","orcid":"0000-0002-6041-6011","position":7,"is_corresponding":false},{"id":687093,"name":"Lei Zhang","orcid":"0000-0002-0580-0889","position":8,"is_corresponding":false},{"id":687088,"name":"Jinli Liu","orcid":"0000-0002-6152-8808","position":0,"is_corresponding":true}],"reference_count":47,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:45:32.226038Z","pmid":"33987262","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":[]}