{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T18:44:05Z","timestamp":1787856245326,"version":"build-2784847793"},"reference-count":38,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T00:00:00Z","timestamp":1670716800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Allergy"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Growing evidence suggests that maternal obesity may affect the intrauterine environment and increase a child's risk of developing asthma. We aim to investigate the relationship between prepregnancy obesity and childhood asthma risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Cohorts of children enrolled in Kaiser Permanente Northern California integrated healthcare system were followed from birth (2005\u20132014) to age 4 (<jats:italic>n<\/jats:italic>\u00a0=\u00a0104,467), 6 (<jats:italic>n<\/jats:italic>\u00a0=\u00a063,084), or 8 (<jats:italic>n<\/jats:italic>\u00a0=\u00a031,006) using electronic medical records. Child's asthma was defined using ICD codes and asthma\u2010related prescription medication dispensing. Risk ratios (RR) and 95% confidence intervals (95% CIs) for child's asthma were estimated using Poisson regression with robust error variance for (1) prepregnancy BMI categories (underweight [&lt;18.5], normal [18.5\u201324.9], overweight [25\u201329.9], obese 1 [30\u201334.9], and obese 2\/3 [\u226535]) and (2) continuous prepregnancy BMI modeled using cubic splines with knots at BMI category boundaries. Models were adjusted for maternal age, education, race, asthma, allergies, smoking, gestational weight gain, child's birth year, parity, infant sex, gestational age, and child's BMI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Relative to normal BMI, RRs (95%CIs) for asthma at ages 4, 6, and 8 were 0.91 (0.75, 1.11), 0.95 (0.78, 1.16), and 0.97 (0.75, 1.27) for underweight, 1.06 (0.99, 1.14), 1.08 (1.01, 1.16), and 1.03 (0.94, 1.14) for overweight, 1.09 (1.00, 1.19), 1.12 (1.03, 1.23), 1.03 (0.91, 1.17) for obese 1, and 1.10 (0.99, 1.21), 1.13 (1.02, 1.25), 1.14 (0.99, 1.31) for obese 2\/3. When continuous prepregnancy BMI was modeled with splines, child's asthma risk generally increased linearly with increasing prepregnancy BMI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Higher prepregnancy BMI is associated with modestly increased childhood asthma risk.<\/jats:p><\/jats:sec>","DOI":"10.1111\/all.15598","type":"journal-article","created":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T20:11:00Z","timestamp":1669579860000},"page":"1234-1244","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prepregnancy body mass index and risk of childhood asthma"],"prefix":"10.1111","volume":"78","author":[{"given":"Natalie A.","family":"Rosenquist","sequence":"first","affiliation":[{"name":"School of Public Health University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0737-389X","authenticated-orcid":false,"given":"Megan","family":"Richards","sequence":"additional","affiliation":[{"name":"School of Public Health University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeannette R.","family":"Ferber","sequence":"additional","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California  Oakland California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"De\u2010Kun","family":"Li","sequence":"additional","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California  Oakland California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"So\u00a0Young","family":"Ryu","sequence":"additional","affiliation":[{"name":"School of Public Health University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heather","family":"Burkin","sequence":"additional","affiliation":[{"name":"School of Medicine University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew J.","family":"Strickland","sequence":"additional","affiliation":[{"name":"School of Public Health University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lyndsey A.","family":"Darrow","sequence":"additional","affiliation":[{"name":"School of Public Health University of Nevada  Reno Nevada USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,12,11]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"Most Recent National Asthma Data|CDC. 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