Bewildering Birth Data: Origin and Adjustment

Author(s):  
Songlin Yang
Keyword(s):  
2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 154-155
Author(s):  
Katherine Vande Pol ◽  
Naomi Cooper ◽  
Andres Tolosa ◽  
Michael Ellis ◽  
Richard Gates ◽  
...  

Abstract Piglets often experience hypothermia early after birth. Previous research has suggested that drying piglets and administration of oxygen (a potential treatment for asphyxiation) at birth may increase post-natal rectal temperatures. The objective of this study was to determine the effects of drying and administering oxygen at birth on piglet rectal temperature over the first 24 h after birth. The study, conducted at a commercial facility, used a CRD with 42 sows/litters randomly allotted at start of farrowing to 3 treatments (applied at birth): Control (no drying or oxygenation); Dried (using a cellulose-based desiccant); Dried+Oxygen [dried and placed in a chamber (40% oxygen) for 20 min]. At birth, piglets were weighed and uniquely identified. Rectal temperature was measured at 0, 20, 30, 45, 60, 120, and 1440 min after birth. Data were analyzed using PROC MIXED of SAS. Litter was the experimental unit; piglet was a subsample of litter. The statistical model included effects of treatment, time of measurement, and the interaction. Both the Dried and Dried+Oxygen treatments had greater (P < 0.05) rectal temperatures than the Control between 20 and 120 min. However, the Dried+Oxygen treatment had lower (P < 0.05) rectal temperatures than the Dried treatment between 20 and 60 minutes. Temperatures at 1440 min were lower (P < 0.05) for the Dried+Oxygen than the other treatments; however, differences were small. In conclusion, drying piglets at birth increased rectal temperatures over the first 2 h after birth. The combination of drying piglets at birth and placement in an oxygen chamber for 20 min was less effective at moderating post-natal temperature changes than drying alone. Further research on piglet oxygenation is necessary to understand the reason for these reduced temperatures, and whether this treatment affects pre-weaning mortality. This research was funded by the National Pork Board.


2005 ◽  
Vol 8 (1) ◽  
pp. 76-79 ◽  
Author(s):  
Yoon-Mi Hur ◽  
Jun Soo Kwon

AbstractThe present study investigates the twinning rate trends in South Korea for the years 1981 to 2002 utilizing the birth record data from the South Korea National Statistical Office. The twinning rates between 1981 and 1991 remained nearly constant and were slightly less than 10 twin individuals, that is, approximately five pairs per thousand births. Since the early 1990s, however, the twinning rate has increased sharply and reached 19.30 twin individuals, that is, around 10 pairs per thousand births in the year 2002. Application of the Weinberg method to birth data for the years 2000 to 2002 revealed that the dizygotic twin rate in South Korea increased almost threefold between 1981 to 1991 and 2002. In the 1980s the effect of maternal age on twinning rates appeared to be minimal. In the 1990s, however, increases in twinning rates occurred more markedly among older mothers than among younger mothers. We speculate that the rapid rise in twinning rates in South Korea in the 1990s is probably attributable to the spread of Assisted Reproductive Technologies among older mothers who seek treatments for infertility. The present study also examined whether residing in industrial areas is associated with multiple births in the South Korean population. The results did not support the recent finding of higher twinning incidence in industrialized regions.


2018 ◽  
Vol 134 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Elizabeth MacQuillan ◽  
Amy Curtis ◽  
Kathleen Baker ◽  
Rajib Paul

Objectives: The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. Materials and Methods: We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). Results: We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. Practice Applications: Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal–child health interventions.


2007 ◽  
Vol 40 (5) ◽  
pp. 363 ◽  
Author(s):  
Ju-Hee Seo ◽  
Eun-Hee Ha ◽  
Ok-Jin Kim ◽  
Byung-Mi Kim ◽  
Hye-Sook Park ◽  
...  

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Fenglian Xu ◽  
Elizabeth A Sullivan ◽  
Richard C Madden ◽  
Deborah Black ◽  
Lisa R Jackson Pulver
Keyword(s):  

2009 ◽  
Vol 47 (5) ◽  
pp. 348-357 ◽  
Author(s):  
Jennifer Urbano Blackford

Abstract Confounding variables can affect the results from studies of children with Down syndrome and their families. Traditional methods for addressing confounders are often limited, providing control for only a few confounding variables. This study introduces propensity score matching to control for multiple confounding variables. Using Tennessee birth data as an example, newborns with Down syndrome were compared with a group of typically developing infants on birthweight. Three approaches to matching on confounders—nonmatched, covariate matched, and propensity matched—were compared using 8 potential confounders. Fewer than half of the newborns with Down syndrome were matched using covariate matching, and the matched group was differed from the unmatched newborns. Using propensity scores, 100% of newborns with Down syndrome could be matched to a group of comparison newborns, a decreased effect size was found on newborn birthweight, and group differences were not statistically significant.


2021 ◽  
pp. 103974
Author(s):  
Lishan Yu ◽  
Hamisu M. Salihu ◽  
Deepa Dongarwar ◽  
Luyao Chen ◽  
Xiaoqian Jiang

2019 ◽  
Vol 112 (3) ◽  
pp. e160
Author(s):  
Anne Martini ◽  
Rachel Horowitz ◽  
Kate Devine ◽  
Jui-He Tsai ◽  
Micah J. Hill ◽  
...  
Keyword(s):  

2015 ◽  
Vol 419 ◽  
pp. 736-745 ◽  
Author(s):  
M. Ausloos ◽  
C. Herteliu ◽  
B. Ileanu

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