{"doi":"10.17615/a4vn-vm49","title":"Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent class analysis among postmenopausal women","abstract":"BACKGROUND: Patterns of physical activity and sedentary behavior among postmenopausal women are not well characterized. OBJECTIVES: To describe the patterns of accelerometer-assessed physical activity and sedentary behavior among postmenopausal women. DESIGN: Cross-sectional study. METHODS: Women 63-97 years (n = 6126) wore an ActiGraph GT3X + accelerometer on their hip for 1 week. Latent class analysis was used to classify women by patterns of percent of wake time in physical activity and sedentary behavior over the week. RESULTS: On average, participants spent two-thirds of their day in sedentary behavior (62.3%), 21.1% in light low, 11.0% in light high, and 5.6% in moderate-to-vigorous physical activity. Five classes emerged for each single-component model for sedentary behavior and light low, light high, and moderate-to-vigorous physical activity. Six classes emerged for the multi-component model that simultaneously considered the four behaviors together. CONCLUSION: Unique profiles were identified in both single- and multi-component models that can provide new insights into habitual patterns of physical activity and sedentary behavior among postmenopausal women. IMPLICATIONS: The multi-component approach can contribute to refining public health guidelines that integrate recommendations for both enhancing age-appropriate physical activity levels and reducing time spent in sedentary behavior.","journal":"UNC Libraries","year":2025,"id":576203,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.908,"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":463249,"name":"Michael Kebede","orcid":"0000-0003-0785-292X","position":1,"is_corresponding":false},{"id":591896,"name":"Fang Wen","orcid":"0000-0001-5799-4569","position":2,"is_corresponding":false},{"id":334533,"name":"Chongzhi Di","orcid":"0000-0002-1371-581X","position":3,"is_corresponding":false},{"id":342795,"name":"Lesley F. Tinker","orcid":"0000-0003-2469-1929","position":4,"is_corresponding":false},{"id":231463,"name":"Kelly R. Evenson","orcid":"0000-0002-3720-5830","position":5,"is_corresponding":false},{"id":302270,"name":"Andrea Z. LaCroix","orcid":"0000-0002-9532-976X","position":6,"is_corresponding":false},{"id":61604,"name":"Michael J. Lamonte","orcid":"0000-0002-6669-5242","position":7,"is_corresponding":false},{"id":380800,"name":"Annie Green Howard","orcid":"0000-0003-0837-8166","position":8,"is_corresponding":false},{"id":20423,"name":"I‐Min Lee","orcid":"0000-0002-1083-6907","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:57:56.636458Z","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":[]}