{"doi":"10.3389/fpubh.2025.1655750","title":"Modifiable lifestyle and metabolic risk factors for colorectal polyps: a systematic review and meta-analysis","abstract":"<jats:sec><jats:title>Objective</jats:title><jats:p>To evaluate associations between unhealthy lifestyles, metabolic diseases, and colorectal polyps, with emphasis on subtype-specific effects.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We systematically searched PubMed, Embase, Cochrane Library, and SinoMed (up to July 2024) for studies reporting odds ratios (ORs) of colorectal polyps associated with lifestyle or metabolic factors. Heterogeneity was quantified using I (2) statistics, with random-effects models applied as the primary analytical approach. Subgroup analyses were conducted to investigate potential effect modifiers, and meta-regression was performed to explore continuous sources of heterogeneity, while sensitivity analyses and funnel plots evaluated robustness and bias.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Alcohol (OR = 1.63, 95%CI:1.48-1.78), high-fat diet (OR = 1.45, 95%CI:1.33-1.57), and smoking (OR = 1.79, 95%CI:1.69-1.90) significantly increased polyp risk across subtypes. Smoking showed subtype- and region-specific effects, with the highest risk for sessile serrated lesions (SSLs; (OR = 3.06, 95%CI:2.41-3.90)) and in the US, South Korea, and Israel. Type 2 diabetes had the strongest metabolic association (OR = 2.17,95%CI:1.82- 2.60), followed by hyperlipidemia (OR = 1.50, 95%CI:1.32-1.70) and hypertension (OR = 1.33, 95%CI:1.10-1.61). Heterogeneity stemmed from pathological classification and geographic variation, with no significant publication bias.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Unhealthy lifestyles (alcohol, high-fat diet, smoking) and metabolic diseases (type 2 diabetes, hyperlipidemia, hypertension) independently increase colorectal polyp risk, with smoking demonstrating pronounced subtype and regional variability. These findings can inform the development of risk-stratified screening protocols and targeted public health interventions.</jats:p></jats:sec>","journal":"Frontiers in Public Health","year":2025,"id":622354,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"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":null,"is_data_producer":false,"deposit_databanks":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":1607972,"name":"Zihong Cai","orcid":null,"position":1,"is_corresponding":false},{"id":1538393,"name":"Mengli Zheng","orcid":null,"position":2,"is_corresponding":false},{"id":1607975,"name":"Yunfan Deng","orcid":null,"position":3,"is_corresponding":false},{"id":39908,"name":"Shirui Li","orcid":"0000-0001-9506-133X","position":4,"is_corresponding":false},{"id":1607979,"name":"Xiuyang Li","orcid":null,"position":5,"is_corresponding":false},{"id":1124439,"name":"Sheng Dai","orcid":"0000-0003-0221-3993","position":6,"is_corresponding":false},{"id":1607969,"name":"Yue Lei","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Modifiable lifestyle and metabolic risk factors for colorectal polyps: a systematic review and meta-analysis","abstract":"<jats:sec><jats:title>Objective</jats:title><jats:p>To evaluate associations between unhealthy lifestyles, metabolic diseases, and colorectal polyps, with emphasis on subtype-specific effects.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We systematically searched PubMed, Embase, Cochrane Library, and SinoMed (up to July 2024) for studies reporting odds ratios (ORs) of colorectal polyps associated with lifestyle or metabolic factors. Heterogeneity was quantified using I (2) statistics, with random-effects models applied as the primary analytical approach. Subgroup analyses were conducted to investigate potential effect modifiers, and meta-regression was performed to explore continuous sources of heterogeneity, while sensitivity analyses and funnel plots evaluated robustness and bias.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Alcohol (OR = 1.63, 95%CI:1.48-1.78), high-fat diet (OR = 1.45, 95%CI:1.33-1.57), and smoking (OR = 1.79, 95%CI:1.69-1.90) significantly increased polyp risk across subtypes. Smoking showed subtype- and region-specific effects, with the highest risk for sessile serrated lesions (SSLs; (OR = 3.06, 95%CI:2.41-3.90)) and in the US, South Korea, and Israel. Type 2 diabetes had the strongest metabolic association (OR = 2.17,95%CI:1.82- 2.60), followed by hyperlipidemia (OR = 1.50, 95%CI:1.32-1.70) and hypertension (OR = 1.33, 95%CI:1.10-1.61). Heterogeneity stemmed from pathological classification and geographic variation, with no significant publication bias.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Unhealthy lifestyles (alcohol, high-fat diet, smoking) and metabolic diseases (type 2 diabetes, hyperlipidemia, hypertension) independently increase colorectal polyp risk, with smoking demonstrating pronounced subtype and regional variability. These findings can inform the development of risk-stratified screening protocols and targeted public health interventions.</jats:p></jats:sec>","is_dataset_classified":null,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41132181","pmcid":"PMC12542907","openalex_id":"https://openalex.org/W4414939197","authors":[],"funders":[],"total_grants":0,"fwci":1.1022,"citation_percentile":0.73747715,"influential_citations":0,"citation_trend":[{"year":2026,"count":3}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1655750/pdf","host_type":"journal"},{"url":"https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1655750/pdf","host_type":"publisher"},{"url":"https://www.frontiersin.org/articles/10.3389/fpubh.2025.1655750/full","host_type":"publisher"},{"url":"https://doi.org/10.3389/fpubh.2025.1655750","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41132181","host_type":"repository"},{"url":"https://doaj.org/article/bca05ca9f99f4edc8612192d2596c82e","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12542907","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12542907","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12542907?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Colorectal Cancer Screening and Detection","Diverticular Disease and Complications","Gastric Cancer Management and Outcomes","Humans","Risk Factors","Life Style","Colonic Polyps","Alcohol Drinking","Smoking","Diet, High-Fat","Metabolic Diseases"],"mesh_terms":["Alcohol Drinking","Colonic Polyps","Humans","Life Style","Metabolic Diseases","Risk Factors","Smoking","Diet, High-Fat"],"keywords":["Public health","Obesity","MEDLINE","Metabolic syndrome","Risk factor","Colorectal cancer","Meta-analysis","Pathological Types","risk factors","Lifestyle","Colorectal Polyps"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T19:18:42.534506Z","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":[]}