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Author: Duarte, Catherine

Resulting in 4 citations.

1.	Duarte, Catherine Wannier, S. Rae Cohen, Alison K. Glymour, M. Maria Ream, Robert K. Yen, Irene H. Vable, Anusha M.
1.	Lifecourse Educational Trajectories and Hypertension in Midlife: An Application of Sequence Analysis Journals of Gerontology: Series B 77,2 (February 2022): 383-391. Also: https://academic.oup.com/biomedgerontology/advance-article/doi/10.1093/gerona/glab249/6359344 Cohort(s): NLSY79 Publisher: Gerontological Society of America Keyword(s): Education, Adult; Educational Attainment; GED/General Educational Diploma/General Equivalency Degree/General Educational Development; Health, Chronic Conditions; High School Diploma; Life Course Background: Higher educational attainment predicts lower hypertension. Yet, associations between non-traditional educational trajectories (e.g., interrupted degree programs) and hypertension are less well understood, particularly among structurally marginalized groups who are more likely to experience these non-traditional trajectories. Methods: In National Longitudinal Survey of Youth 1979 cohort data (N=6,317), we used sequence and cluster analyses to identify groups of similar educational sequences -- characterized by timing and type of terminal credential -- that participants followed from age 14-48. Using logistic regression, we estimated associations between the resulting 10 educational sequences and hypertension at age 50. We evaluated effect modification by individual-level indicators of structural marginalization (race, gender, race and gender, and childhood socioeconomic status (cSES).
	Bibliography Citation Duarte, Catherine, S. Rae Wannier, Alison K. Cohen, M. Maria Glymour, Robert K. Ream, Irene H. Yen and Anusha M. Vable. "Lifecourse Educational Trajectories and Hypertension in Midlife: An Application of Sequence Analysis." Journals of Gerontology: Series B 77,2 (February 2022): 383-391.

2.	Vable, Anusha M. Cohen, Alison K. Leonard, Stephanie Glymour, M. Maria Duarte, Catherine Yen, Irene H.
2.	Do the Health Benefits of Education Vary by Sociodemographic Subgroup? Differential Returns to Education and Implications for Health Inequities Annals of Epidemiology 28,11 (November 2018): 759-766.e5. Also: https://www.sciencedirect.com/science/article/pii/S1047279718305209 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Educational Attainment; Educational Returns; Health, Mental; Health/Health Status/SF-12 Scale; Socioeconomic Background Methods: Using National Longitudinal Survey of Youth 1979 (N=6,158) cohort data, we evaluate education attained by age 25 and mental (MCS) and physical (PCS) health component summary scores at age 50. Race/ethnicity, sex, geography, immigration status, and childhood socioeconomic status (cSES) were evaluated as effect modifiers in birth-year adjusted linear regression models.
	Bibliography Citation Vable, Anusha M., Alison K. Cohen, Stephanie Leonard, M. Maria Glymour, Catherine Duarte and Irene H. Yen. "Do the Health Benefits of Education Vary by Sociodemographic Subgroup? Differential Returns to Education and Implications for Health Inequities." Annals of Epidemiology 28,11 (November 2018): 759-766.e5.

3.	Vable, Anusha M. Duarte, Catherine Cohen, Alison K. Glymour, M. Maria Ream, Robert K. Yen, Irene H.
3.	Does the Type and Timing of Educational Attainment Influence Physical Health? A Novel Application of Sequence Analysis American Journal of Epidemiology 189,11 (November 2020): 1389-1401. Also: https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwaa150/5872673 Cohort(s): NLSY79 Publisher: Johns Hopkins University Press Keyword(s): Educational Attainment; Health/Health Status/SF-12 Scale Nontraditional education trajectories are common, but their influence on physical health is understudied. We constructed year-by-year education trajectories for 7,501 National Longitudinal Survey of Youth 1979 participants aged 14 to 48 years (262,535 person-years of education data from 1979 to 2014). We characterized trajectory similarity using sequence analysis and used hierarchical clustering to group similar educational trajectories. Using linear regression, we predicted physical health summary scores of the participants at age 50 years from the 12-item Short-Form Survey, adjusting for available confounders, and evaluated effect modification by sex, race/ethnicity, and childhood socioeconomic status. We identified 24 unique educational sequence clusters on the basis of highest level of schooling and attendance timing.
	Bibliography Citation Vable, Anusha M., Catherine Duarte, Alison K. Cohen, M. Maria Glymour, Robert K. Ream and Irene H. Yen. "Does the Type and Timing of Educational Attainment Influence Physical Health? A Novel Application of Sequence Analysis." American Journal of Epidemiology 189,11 (November 2020): 1389-1401.

4.	Vable, Anusha M. Duarte, Catherine Wannier, S. Rae Chan-Golston, Alec M. Cohen, Alison K. Glymour, M. Maria Ream, Robert K. Yen, Irene H.
4.	Understanding the Benefits of Different Types and Timing of Education for Mental Health: A Sequence Analysis Approach Journals of Gerontology: Series B published online (13 August 2021): gbab147. Also: https://academic.oup.com/psychsocgerontology/advance-article/doi/10.1093/geronb/gbab147/6350335 Cohort(s): NLSY79 Publisher: Gerontological Society of America Keyword(s): College Education; Education, Adult; Educational Attainment; GED/General Educational Diploma/General Equivalency Degree/General Educational Development; Health, Mental; High School Diploma Objectives: Individuals increasingly experience delays or interruptions in schooling; we evaluate the association between these non-traditional education trajectories and mental health. Methods: Using year-by-year education data for 7,501 National Longitudinal Survey of Youth 1979 participants, ages 14-48 (262,535 person-years of education data), we applied sequence analysis and a clustering algorithm to identify educational trajectory groups, incorporating both type and timing to credential. Linear regression models, adjusted for early-life confounders, evaluated relationships between educational trajectories and mental health component scores (MCS) from the 12-item short form instrument at age 50. We evaluated effect modification by race, gender, and race by gender.
	Bibliography Citation Vable, Anusha M., Catherine Duarte, S. Rae Wannier, Alec M. Chan-Golston, Alison K. Cohen, M. Maria Glymour, Robert K. Ream and Irene H. Yen. "Understanding the Benefits of Different Types and Timing of Education for Mental Health: A Sequence Analysis Approach." Journals of Gerontology: Series B published online (13 August 2021): gbab147.

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