title: Seasonal Variations in Birth Weight in Suzhou Industrial Park.
abstract: Many environmental factors have been shown to adversely influence birth weight, and new insight has been gained into 'seasonal programming'. We studied a total of 23,064 infants. The mean birth weight varied across seasons. Logistic regression analysis was used to obtain the crude and adjusted odds ratios (ORs) for dichotomous outcomes (e.g., macrosomia, low birth weight). There were significant differences in the risks for macrosomia in infants born in different seasons. Compared with those for infants born in spring, the ORs for macrosomia were 0.85 [95% confidence interval (CI): 0.75-0.98] and 0.87 (95% CI: 0.77-0.99) for infants born in summer and autumn, respectively. These findings suggest that environmental factors may have public health implications and should be considered when primary prevention programs are developed for macrosomia or low birth weight.
authors.affiliation: Institute for Fetology and Reproductive Medicine Center, First Hospital of Soochow University, Suzhou 215006, Jiangsu, China; Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, Jiangsu, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wu
authors.affiliation: Institute for Fetology and Reproductive Medicine Center, First Hospital of Soochow University, Suzhou 215006, Jiangsu, China; Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, Jiangsu, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Ding
authors.affiliation: Nanjing First Hospital, Nanjing 210029, Jiangsu, China .
authors.forename: Xing Li
authors.initials: XL
authors.lastname: Rui
authors.affiliation: Institute for Fetology and Reproductive Medicine Center, First Hospital of Soochow University, Suzhou 215006, Jiangsu, China.
authors.forename: Cai Ping
authors.initials: CP
authors.lastname: Mao
mesh_terms: D000328:Adult; D001724:Birth Weight; D002681:China / Q000453:epidemiology; D005260:Female; D005865:Gestational Age; D006801:Humans; D007221:Industry; D007231:Infant, Newborn; D008297:Male; D011247:Pregnancy; D011248:Pregnancy Complications / Q000175:diagnosis / Q000453:epidemiology; D012621:Seasons; D055815:Young Adult