A prediction model for classifying maternal pregnancy smoking using California state birth certificate information.

He, Di; Huang, Xiwen; Arah, Onyebuchi A; Walker, Douglas I; Jones, Dean P; Ritz, Beate; Heck, Julia E

He, Di; Huang, Xiwen; Arah, Onyebuchi A; Walker, Douglas I; Jones, Dean P; Ritz, Beate; Heck, Julia E.

Affiliation

He D; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.
Huang X; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.
Arah OA; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.
Walker DI; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Jones DP; Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA.
Ritz B; Department of Medicine, Emory University, Atlanta, Georgia, USA.
Heck JE; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.

Paediatr Perinat Epidemiol ; 38(2): 102-110, 2024 Feb.

Article in En | MEDLINE | ID: mdl-37967567

Subject(s)
Key words

birth certificates; maternal pregnancy smoking; neonatal blood spots; prediction model; tobacco biomarkers

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Smoking / Birth Certificates Limits: Child / Female / Humans / Newborn / Pregnancy Country/Region as subject: America do norte Language: En Journal: Paediatr Perinat Epidemiol Journal subject: EPIDEMIOLOGIA / PEDIATRIA / PERINATOLOGIA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

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