scholarly journals Birth cohort effects among US-born adults born in the 1980s: foreshadowing future trends in US obesity prevalence

2012 ◽  
Vol 37 (3) ◽  
pp. 448-454 ◽  
Author(s):  
W R Robinson ◽  
K M Keyes ◽  
R L Utz ◽  
C L Martin ◽  
Y Yang
Keyword(s):  
Birth Cohort ◽  
Cohort Effects ◽  
Future Trends ◽  
Obesity Prevalence

Using admixture analysis to examine birth-cohort effects on age at onset of bipolar disorder

2015 ◽  
Vol 133 (3) ◽  
pp. 205-213 ◽  
Author(s):  
J.-L. Golmard ◽  
J. Scott ◽  
B. Etain ◽  
M. Preisig ◽  
J.-M. Aubry ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Birth Cohort ◽  
Age At Onset ◽  
Cohort Effects ◽  
Admixture Analysis

scholarly journals Birth cohort effects on the quantity and heritability of alcohol consumption in adulthood: a Finnish longitudinal twin study

Addiction ◽  
2019 ◽  
Vol 114 (5) ◽  
pp. 836-846 ◽  
Author(s):  
Suvi Virtanen ◽  
Jaakko Kaprio ◽  
Richard Viken ◽  
Richard J. Rose ◽  
Antti Latvala
Keyword(s):  
Alcohol Consumption ◽  
Birth Cohort ◽  
Twin Study ◽  
Cohort Effects ◽  
Longitudinal Twin Study

Abstract P204: Birth Cohort Effects and Lipid Trends—The Impact of the Obesity Epidemic: Evidence From Cohorts Born Between 1930 and 1998 in the United States

Circulation ◽  
2019 ◽  
Vol 139 (Suppl_1) ◽  
Author(s):  
Thanh-Huyen T Vu ◽  
Donald Lloyd-Jones ◽  
Mercedes R Carnethon ◽  
John T Wilkins ◽  
Hy Tran ◽  
...  
Keyword(s):  
United States ◽  
Birth Cohort ◽  
The United States ◽  
Cohort Effects ◽  
Obesity Epidemic ◽  
The Impact

The change in the sex ratio in multiple sclerosis is driven by birth cohort effects

2016 ◽  
Vol 24 (1) ◽  
pp. 98-104 ◽  
Author(s):  
V. Ajdacic-Gross ◽  
M. Schmid ◽  
M. Mutsch ◽  
N. Steinemann ◽  
V. von Wyl ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Sex Ratio ◽  
Birth Cohort ◽  
Cohort Effects

scholarly journals O2-05-03: Birth Cohort Effects in Memory Function and Practice Effects From Epidemiological Studies of Cognitive Impairment and Dementia

2016 ◽  
Vol 12 ◽  
pp. P234-P234
Author(s):  
Hiroko H. Dodge ◽  
Jian Zhu ◽  
Tiffany F. Hughes ◽  
Beth E. Snitz ◽  
Chung-Chou H. Chang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Birth Cohort ◽  
Memory Function ◽  
Epidemiological Studies ◽  
Cohort Effects ◽  
Practice Effects

Testicular cancer: Marked birth cohort effects on incidence and a decline in mortality in southern Netherlands since 1970

2007 ◽  
Vol 122 (3) ◽  
pp. 639-642 ◽  
Author(s):  
Rob Verhoeven ◽  
Saskia Houterman ◽  
Bart Kiemeney ◽  
Evert Koldewijn ◽  
Jan Willem Coebergh
Keyword(s):  
Testicular Cancer ◽  
Birth Cohort ◽  
Cohort Effects ◽  
Southern Netherlands

scholarly journals Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-period-Cohort Effects on Cancer Survival

2011 ◽  
Vol 10 ◽  
pp. CIN.S6770 ◽  
Author(s):  
Tengiz Mdzinarishvili ◽  
Michael X. Gleason ◽  
Leo Kinarsky ◽  
Simon Sherman
Keyword(s):  
Birth Cohort ◽  
Survival Data ◽  
Hazard Function ◽  
Cohort Effect ◽  
Age At Diagnosis ◽  
Cohort Effects ◽  
Proportional Hazard ◽  
Cox Proportional Hazard ◽  
Time Period ◽  
Birth Cohort Effect

In the frame of the Cox proportional hazard (PH) model, a novel two-step procedure for estimating age-period-cohort (APC) effects on the hazard function of death from cancer was developed. In the first step, the procedure estimates the influence of joint APC effects on the hazard function, using Cox PH regression procedures from a standard software package. In the second step, the coefficients for age at diagnosis, time period and birth cohort effects are estimated. To solve the identifiability problem that arises in estimating these coefficients, an assumption that neighboring birth cohorts almost equally affect the hazard function was utilized. Using an anchoring technique, simple procedures for obtaining estimates of interrelated age at diagnosis, time period and birth cohort effect coefficients were developed. As a proof-of-concept these procedures were used to analyze survival data, collected in the SEER database, on white men and women diagnosed with LC in 1975–1999 and the age at diagnosis, time period and birth cohort effect coefficients were estimated. The PH assumption was evaluated by a graphical approach using log-log plots. Analysis of trends of these coefficients suggests that the hazard of death from LC for a given time from cancer diagnosis: (i) decreases between 1975 and 1999; (ii) increases with increasing the age at diagnosis; and (iii) depends upon birth cohort effects. The proposed computing procedure can be used for estimating joint APC effects, as well as interrelated age at diagnosis, time period and birth cohort effects in survival analysis of different types of cancer.

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