scholarly journals What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006

2010 ◽  
Vol 70 (7) ◽  
pp. 1100-1108 ◽  
Author(s):  
Katherine M. Keyes ◽  
Rebecca L. Utz ◽  
Whitney Robinson ◽  
Guohua Li
Crime Science ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Anthony Dixon ◽  
Graham Farrell

AbstractAdopting and refining O’Brien’s S-constraint approach, we estimate age-period-cohort effects for motor vehicle theft offences in the United States for over half a century from 1960. Taking the well-established late-teen peak offending age as given, we find period effects reducing theft in the 1970 s, and period, but particularly cohort effects, reducing crime from the 1990s onwards. We interpret these effects as consistent with variation in the prevailing level of crime opportunities, particularly the ease with which vehicles could be stolen. We interpret the post-1990s cohort effect as triggered by a period effect that operated differentially by age: improved vehicle security reduced juvenile offending dramatically, to the extent that cohorts experienced reduced offending across the life-course. This suggests the prevailing level of crime opportunities in juvenile years is an important determinant of rates of onset and continuance in offending in birth cohorts. We outline additional implications for research and practice.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brittany Shelton ◽  
Deanna McWilliams ◽  
Rhiannon D Reed ◽  
Margaux Mustian ◽  
Paul MacLennan ◽  
...  

Background: Obesity has become a national epidemic, and is associated with increased risk for comorbid diseases including end-stage renal disease (ESRD). Among ESRD patients, obesity may improve dialysis-survival but decreases likelihood of transplantation, and as such, obesity prevalence may directly impact growth of the incident dialysis population. Methods: Incident adult ESRD patients with complete body mass index (BMI, kg/m 2 ) data were identified from the United States Renal Data System from 01/01/1995-12/31/2010 (n=1,822,598). Data from the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention (n=4,303,471) represented the US population when weighted. Trends in BMI and obesity classes I (BMI of 30-34.9), II (BMI of 35-39.9), and III (BMI ≥40) were examined by year of dialysis initiation. Trends in median BMI slope were compared between the ESRD and US populations using linear regression. Results: Median BMI of ESRD patients in 1995 was 24.2 as compared to 28.0 in 2010, a 15.7% increase, while the US population’s median BMI increased from 24.2 in 1995 to 25.6 in 2010, a 5.8% increase. Comparable trends were noted with respect to prevalence of obesity classes I, II, and III (Table). BMI increase among the ESRD population was significantly more rapid than among the US population (β: 0.15, 95% CI: 0.14-0.17, p<0.001) (Figure). Conclusion: The median BMI of ESRD patients and prevalence of obesity among ESRD patients is increasing more rapidly than the US population. Given the increased dialysis-survival and decreased likelihood of transplantation associated with obesity, healthcare costs will likely increase, and thus, future research should be directed at examining medical expenditures.


Author(s):  
Alyssa Drosdak ◽  
Sagarika Satyavada ◽  
Mayada Ismail ◽  
Raj Shah ◽  
Gregory Cooper

Circulation ◽  
2019 ◽  
Vol 139 (Suppl_1) ◽  
Author(s):  
Thanh-Huyen T Vu ◽  
Donald Lloyd-Jones ◽  
Mercedes R Carnethon ◽  
John T Wilkins ◽  
Hy Tran ◽  
...  

2018 ◽  
Vol 102 ◽  
pp. S844
Author(s):  
Brittany Shelton ◽  
Deanna M McWilliams ◽  
Paul A MacLennan ◽  
Rhiannon D Reed ◽  
Margaux N Mustian ◽  
...  

Social Forces ◽  
2009 ◽  
Vol 87 (3) ◽  
pp. 1449-1479 ◽  
Author(s):  
J. Stockard ◽  
J. A. Gray ◽  
R. O'Brien ◽  
J. Stone

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0179144 ◽  
Author(s):  
Christoph Trattner ◽  
Denis Parra ◽  
David Elsweiler

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