scholarly journals Hot spots, cluster detection and spatial outlier analysis of teen birth rates in the U.S., 2003–2012

2017 ◽  
Vol 21 ◽  
pp. 67-75 ◽  
Author(s):  
Diba Khan ◽  
Lauren M. Rossen ◽  
Brady E. Hamilton ◽  
Yulei He ◽  
Rong Wei ◽  
...  
Author(s):  
Mandy Golman ◽  
Nila Ricks ◽  
Irene D. Gallegos ◽  
Jesse Weaver

Despite historic lows in teen birth rates, the U.S. still maintains the highest teen birth rate of any industrialized nation, and significant disparities exist between ethnicities and socioeconomic status (SES). The factors influencing teen birth are vast and intertwined. The socio-ecological model (SEM) provides a natural theoretical framework to study and address these multiple levels of influence, which include individual, interpersonal, institutional/organizational, and public policy. This chapter will include a summary of recent studies, and drawing from empirical findings guided by the socio-ecological model, will identify and suggest strategies at each level for reducing the teen birth rate. By addressing the overlapping layers together, as opposed to a single layer, interventions have greater potential for success.


2015 ◽  
Vol 130 (4) ◽  
pp. 372-379 ◽  
Author(s):  
Shauna Gunaratne ◽  
Lisa Masinter ◽  
Marynia Kolak ◽  
Joe Feinglass

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Ying-Chih Chuang ◽  
Ting-Wu Chuang ◽  
Hsing Jasming Chao ◽  
Kuo-Chien Tseng ◽  
Kun-Yang Chuang

Geographical variations in teen birth rates (TBR) still persist despite controlling for contextual factors. The aim of this research was to identify spatial patterns of TBR in Taiwan and to examine spatial relationships among different contextual factors. Using townships as the unit of analysis (N=359), this research used social and demographic variables for the years 1995, 2000, 2005 and 2010 and conducted spatial modelling of TBR. Geographical maps of TBR were presented, and Local Indicator of Spatial Autocorrelations was used to identify TBR clustering. Comparisons were made between ordinary least-squares models and spatial lag models, in which township-level TBRs were regressed on other township-level contextual characteristics. Our study found that townships with a high TBR were mostly in eastern, central and some southern regions of Taiwan, while townships with a low TBR were in the vicinity of metropolitan areas. The significant spatial lag indicated that townships would have a higher expected prevalence rate if adjacent townships have had higher rates. Results also indicated that the percentage of aborigines and the percentage of college-educated people were consistently associated with TBR over the years. Interventions aimed at reducing TBR in Taiwan should consider the presence of spatial correlations and should incorporate neighbouring townships.


2010 ◽  
Vol 9 (3) ◽  
pp. 320-334 ◽  
Author(s):  
Seth Ovadia ◽  
Laura M. Moore

Teen birth rates vary widely across counties in the United States. in this study, we examine whether the religious composition of a county is correlated with the rate of teen childbearing using both a traditional moral communities approach and a “decomposed” version of that framework. Utilizing 2000 data from the Centers for Disease Control and Prevention, the United States Census Bureau, and the Religious Congregation and Membership Survey, we find that the total percentage of religious adherents in a county is not significantly correlated with the teen birth rate. However, when we decompose the Christian population into major denominational groupings, we find the percentage of evangelical Protestants in a county is positively associated with the teen birth rate while the percentage of Catholics is negatively associated with teen childbearing. Possible explanations for the association between religious context and teen birth rates are discussed, as well as their policy and research implications.


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