{"doi":"10.1136/bmjopen-2021-060730","title":"Incidence and risk factors of diabetes mellitus in the Chinese population: a dynamic cohort study","abstract":"<jats:sec>\n                    <jats:title>Objective</jats:title>\n                    <jats:p>Diabetes mellitus is a common condition often associated with an ageing population. However, only few longitudinal studies in China have investigated the incidence of diabetes and identified its risk factors. Therefore, this study aimed to investigate the incidence and risk factors of diabetes in Chinese people aged ≥45 years using the harmonised China Health and Retirement Longitudinal Study (CHARLS) data.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Design</jats:title>\n                    <jats:p>A dynamic cohort study.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting</jats:title>\n                    <jats:p>The harmonised CHARLS 2011–2018.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants</jats:title>\n                    <jats:p>19 988 adults aged ≥45 years.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Primary outcome measure</jats:title>\n                    <jats:p>Incident diabetes from 2011 to 2018.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>The harmonised CHARLS is a representative longitudinal survey of people aged ≥45 years. Using data extracted from the harmonised CHARLS, we calculated the incidence of diabetes and used a competing risk model to determine risk factors of diabetes. In 2011–2013, 2013–2015, 2015–2018, the crude incidence of diabetes among middle-aged and older people in China was 1403.21 (1227.09 to 1604.19), 1673.22 (1485.73 to 1883.92) and 3919.83 (3646.01 to 4213.30) per 100 000 person‐years, respectively, with a significant increasing trend. There were no geographical variations in the incidence of diabetes. Age, obesity and alcohol consumption were associated with an increased risk of incident diabetes.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion</jats:title>\n                    <jats:p>The incidence of diabetes increased annually, without any geographical differences. Age, obesity and alcohol consumption were found to be risk factors for incident diabetes.</jats:p>\n                  </jats:sec>","journal":"BMJ Open","year":2022,"id":14889,"datarank":0.616520637655762,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.23177823403653144,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.23177823403653144,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":12,"citers_with_citation_signal":8,"citers_with_endowment":8,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":115644,"name":"Huiying Wang","orcid":null,"position":1,"is_corresponding":false},{"id":115645,"name":"YunZhen He","orcid":null,"position":2,"is_corresponding":false},{"id":115646,"name":"Mengyun Sui","orcid":null,"position":3,"is_corresponding":false},{"id":115647,"name":"Hongzheng Li","orcid":null,"position":4,"is_corresponding":false},{"id":115648,"name":"Lin Mei","orcid":null,"position":5,"is_corresponding":false},{"id":115649,"name":"Xiaohua Ying","orcid":null,"position":6,"is_corresponding":false},{"id":115643,"name":"Long Xue","orcid":"0000-0003-1856-9281","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36410801","pmcid":"PMC9680191","openalex_id":"https://openalex.org/W4309530282","authors":[],"funders":[],"total_grants":0,"fwci":1.3495,"citation_percentile":0.82944483,"influential_citations":3,"citation_trend":[{"year":2023,"count":1},{"year":2024,"count":6},{"year":2025,"count":3},{"year":2026,"count":2}],"oa_status":"gold","license":"cc-by-nc","oa_locations":[{"url":"https://bmjopen.bmj.com/content/bmjopen/12/11/e060730.full.pdf","host_type":"journal"},{"url":"https://bmjopen.bmj.com/content/bmjopen/12/11/e060730.full.pdf","host_type":"GOLD"},{"url":"https://bmjopen.bmj.com/content/bmjopen/12/11/e060730.full.pdf","host_type":"publisher"},{"url":"https://syndication.highwire.org/content/doi/10.1136/bmjopen-2021-060730","host_type":"publisher"},{"url":"https://doi.org/10.1136/bmjopen-2021-060730","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/36410801","host_type":"repository"},{"url":"https://doaj.org/article/59acf5ec9023485597b96d529a0fb35c","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9680191","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC9680191","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC9680191?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Diabetes, Cardiovascular Risks, and Lipoproteins","Chronic Disease Management Strategies","Metabolism, Diabetes, and Cancer","Medicine","Middle Aged","Adult","Humans","Aged","Cohort Studies","Incidence","Longitudinal Studies","Diabetes Mellitus","Risk Factors","China","Obesity"],"mesh_terms":["Adult","Aged","China","Diabetes Mellitus","Humans","Longitudinal Studies","Middle Aged","Obesity","Risk Factors","Cohort Studies","Incidence"],"keywords":["Medicine","Diabetes mellitus","Incidence (geometry)","Longitudinal study","Cohort study","Risk factor","Cohort","Population","Epidemiology","Obesity","Demography","Gerontology","Environmental health","Pediatrics","Internal medicine","Endocrinology","risk management","General Diabetes"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-01T15:21:40.072688Z","pmid":null,"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":[]}