{"doi":"10.1002/osp4.70060","title":"Predicting Pregnancy in Preconception Weight Loss Trials: Is it Possible?","abstract":"Introduction: Predicting pregnancy is a challenge in preconception weight loss intervention trials. The current study examined whether self-reported pregnancy likelihood and timing were predictive of conception. Methods: = 184; 58% Hispanic; age = 33.4 ± 5.1; BMI = 33.6 ± 6.6) with overweight or obesity, prior gestational diabetes mellitus, and plans to become pregnant participated in a pre-conception behavioral weight loss intervention or control. At baseline, participants reported their estimated likelihood of pregnancy from 1 to 10 (categorized as low [1-3], medium [4-7], and high [8-10] likelihood); they also reported expected timeframe for pregnancy. Results: Over the 4-year trial, 62 (30%) participants became pregnant. Participants who reported a high likelihood of pregnancy were more likely to conceive than those with a lower rating (45.7% vs. 21.1%). The sensitivity and specificity of a high likelihood rating predicting conception were 69%, 95% CI (56.2%, 80.1%), and 58%, 95% CI (48.9%, 67.0%), respectively. Among those who conceived, mean expected time to pregnancy was 21.6 ± 13.2 months while actual mean time was 11.3 ± 9.1 months. Baseline age, ethnicity, parity, BMI, income, and other demographics did not predict conception. Conclusions: Pregnancy likelihood estimates best predicted conception, but sensitivity and specificity were low. Future work may consider additional ways to screen for likelihood of conception in preconception trials.","journal":"Obesity Science & Practice","year":2025,"id":536084,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9003,"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":369983,"name":"Suzanne Phelan","orcid":"0000-0003-2260-0499","position":1,"is_corresponding":false},{"id":443877,"name":"Elissa Jelalian","orcid":"0000-0003-0933-4464","position":2,"is_corresponding":false},{"id":308487,"name":"Aaron B. Caughey","orcid":"0000-0002-1752-0972","position":3,"is_corresponding":false},{"id":701781,"name":"Kristin Castorino","orcid":"0000-0001-6386-9203","position":4,"is_corresponding":false},{"id":702723,"name":"Casey Heaney","orcid":null,"position":5,"is_corresponding":false},{"id":702724,"name":"Angelica McHugh","orcid":null,"position":6,"is_corresponding":false},{"id":367544,"name":"Rena R. Wing","orcid":"0000-0002-0918-8252","position":7,"is_corresponding":false},{"id":378146,"name":"Jacqueline F. Hayes","orcid":"0000-0002-6241-1839","position":0,"is_corresponding":true}],"reference_count":17,"raw_metadata":null,"created_at":"2026-07-19T02:52:00.885532Z","pmid":"40201759","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":[]}