{"doi":"10.1210/clinem/dgab389","title":"Changes in Regional Fat Distribution and Anthropometric Measures Across the Menopause Transition","abstract":"CONTEXT: The relation between the menopause transition (MT) and changes in regional fat distribution is uncertain. OBJECTIVE: To determine whether the MT is associated with the development of central adiposity. DESIGN: Longitudinal analysis from the Study of Women's Health Across the Nation, spanning 1996-2013 (median follow-up 11.8 years). SETTING: Community-based. PARTICIPANTS: 380 women with regional body composition measures by dual energy X-ray absorptiometry. Mean baseline age was 45.7 years; racial/ethnic composition was 16% Black, 41% Japanese and 43% White. OUTCOMES: Changes in android, gynoid and visceral fat and waist and hip circumferences. RESULTS: Android fat increased by 1.21% per year (py) and 5.54% py during premenopause and the MT, respectively (each P < 0.05). Visceral and gynoid fat began increasing at the MT, annualized changes were 6.24% and 2.03%, respectively (each P < 0.05). Postmenopausal annual trajectories decelerated to 1.47% (visceral), 0.90% (android), and -0.87% (gynoid), (all non-zero, P < 0.05). Waist girth grew during premenopause (0.55% py), the MT (0.96% py), and postmenopause (0.55% py) (all non-zero, P < 0.05; not statistically different from each other). Hip girth grew during premenopause (0.20% py) and the MT (0.35% py) (each non-zero, P < 0.05; not statistically different from each other) and decelerated to zero slope in postmenopause. Results are for the White referent; there were statistically significant differences in some trajectories in Black and Japanese women. CONCLUSIONS: The MT is associated with the development of central adiposity. Waist or hip circumferences are less sensitive to changes in fat distribution.","journal":"The Journal of Clinical Endocrinology & Metabolism","year":2021,"id":152600,"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":74,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.508,"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":648903,"name":"Weijuan Han","orcid":null,"position":1,"is_corresponding":false},{"id":284566,"name":"Joel S. Finkelstein","orcid":"0000-0003-4911-8870","position":2,"is_corresponding":false},{"id":284569,"name":"Sherri‐Ann M. Burnett‐Bowie","orcid":"0000-0002-0064-096X","position":3,"is_corresponding":false},{"id":648904,"name":"Mei-Hua Huang","orcid":null,"position":4,"is_corresponding":false},{"id":286934,"name":"Deborah Martin","orcid":null,"position":5,"is_corresponding":false},{"id":284567,"name":"Arun S. Karlamangla","orcid":"0000-0003-2293-6064","position":6,"is_corresponding":false},{"id":284575,"name":"Gail A. Greendale","orcid":"0000-0003-1054-1081","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-07-18T23:43:34.972031Z","pmid":"34061966","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":[]}