{"id":1063071,"date":"2024-07-29T16:12:06","date_gmt":"2024-07-29T23:12:06","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=1063071"},"modified":"2024-07-29T16:12:06","modified_gmt":"2024-07-29T23:12:06","slug":"maternal-obesity-and-risk-of-sudden-unexpected-infant-death","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/maternal-obesity-and-risk-of-sudden-unexpected-infant-death\/","title":{"rendered":"Maternal Obesity and Risk of Sudden Unexpected Infant Death"},"content":{"rendered":"

Importance<\/strong>\u00a0\u00a0Rates of maternal obesity are increasing in the US. Although obesity is a well-documented risk factor for numerous poor pregnancy outcomes, it is not currently a recognized risk factor for sudden unexpected infant death (SUID).<\/p>\n

Objective<\/strong>\u00a0\u00a0To determine whether maternal obesity is a risk factor for SUID and the proportion of SUID cases attributable to maternal obesity.<\/p>\n

Design, Setting, and Participants<\/strong>\u00a0\u00a0This was a US nationwide cohort study using Centers for Disease Control and Prevention National Center for Health Statistics linked birth\u2013infant death records for birth cohorts in 2015 through 2019. All US live births for the study years occurring at 28 weeks\u2019 gestation or later from complete reporting areas were eligible; SUID cases were deaths occurring at 7 to 364 days after birth with\u00a0International Statistical Classification of Diseases, Tenth Revision<\/i>\u00a0cause of death code R95 (sudden infant death syndrome), R99 (ill-defined and unknown causes), or W75 (accidental suffocation and strangulation in bed). Data were analyzed from October 1 through November 15, 2023.<\/p>\n

Exposure<\/strong>\u00a0\u00a0Maternal prepregnancy body mass index (BMI; calculated as weight in kilograms divided by height in meters squared).<\/p>\n

Main Outcome and Measure<\/strong>\u00a0\u00a0SUID.<\/p>\n

Results<\/strong>\u00a0\u00a0Of 18\u202f857\u202f694 live births eligible for analysis (median [IQR] age: maternal, 29 [9] years; paternal, 31 [9] years; gestational, 39 [2] weeks), 16\u202f545 died of SUID (SUID rate, 0.88\/1000 live births). After confounder adjustment, compared with mothers with normal BMI (BMI 18.5-24.9), infants born to mothers with obesity had a higher SUID risk that increased with increasing obesity severity. Infants of mothers with class I obesity (BMI 30.0-34.9) were at increased SUID risk (adjusted odds ratio [aOR], 1.10; 95% CI, 1.05-1.16); with class II obesity (BMI 35.0-39.9), a higher risk (aOR, 1.20; 95% CI, 1.13-1.27); and class III obesity (BMI \u226540.0), an even higher risk (aOR, 1.39; 95% CI, 1.31-1.47). A generalized additive model showed that increased BMI was monotonically associated with increased SUID risk, with an acceleration of risk for BMIs greater than approximately 25 to 30. Approximately 5.4% of SUID cases were attributable to maternal obesity.<\/p>\n

Conclusions and Relevance<\/strong>\u00a0\u00a0The findings suggest that infants born to mothers with obesity are at increased risk of SUID, with a dose-dependent association between increasing maternal BMI and SUID risk. Maternal obesity should be added to the list of known risk factors for SUID. With maternal obesity rates increasing, research should identify potential causal mechanisms for this association.<\/p>\n","protected":false},"excerpt":{"rendered":"

Importance\u00a0\u00a0Rates of maternal obesity are increasing in the US. Although obesity is a well-documented risk factor for numerous poor pregnancy outcomes, it is not currently a recognized risk factor for sudden unexpected infant death (SUID). Objective\u00a0\u00a0To determine whether maternal obesity is a risk factor for SUID and the proportion of SUID cases attributable to maternal […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,13553],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1063071","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2024-7-29","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Jama Pediatrics","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/jamanetwork.com\/journals\/jamapediatrics\/fullarticle\/2821643","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"user_nicename","value":"Darren Tanner","user_id":41404,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Darren Tanner"},{"type":"text","value":"Jan-Marino Ramirez","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Bill Weeks","user_id":39582,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Bill Weeks"},{"type":"user_nicename","value":"Juan M. 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