Search Results

Author: Xuan, Ziming
Resulting in 3 citations.
1. Bovell-Ammon, Benjamin J.
Xuan, Ziming
Paasche-Orlow, Michael K.
LaRochelle, Marc R.
Association of Incarceration With Mortality by Race From a National Longitudinal Cohort Study
JAMA Network Open 4,12 (December 2021): DOI: 10.1001/jamanetworkopen.2021.33083.
Also: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2787436
Cohort(s): NLSY79
Publisher: American Medical Association
Keyword(s): Incarceration/Jail; Mortality; Racial Differences

Permission to reprint the abstract has not been received from the publisher.

Objective: To determine whether incarceration in the US is associated with an increase in mortality risk and whether this association is different for Black compared with non-Black populations.

Design, Setting, and Participants: This generational retrospective cohort study used data from the National Longitudinal Survey of Youth 1979, a nationally representative cohort of noninstitutionalized youths aged 15 to 22 years, from January 1 to December 31, 1979, with follow-up through December 31, 2018. A total of 7974 non-Hispanic Black and non-Hispanic non-Black participants were included. Statistical analysis was performed from October 26, 2019, to August 31, 2021.

Exposures: Time-varying exposure of having experienced incarceration during follow-up.

Main Outcomes and Measures: The main outcome was time to death. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs, adjusted for baseline sociodemographic, economic, and behavioral risk factors. Models were evaluated for the full cohort and stratified by race.

Results: Of the 7974 individuals included in our sample, 4023 (50.5%) were male, and 2992 (37.5%) identified as Black (median age, 18 [IQR, 17-20] years). During a median follow-up of 35 years (IQR, 33-37 years), 478 participants were incarcerated and 818 died. Unadjusted exposure to at least 1 incarceration between 22 and 50 years of age was 11.5% (95% CI, 10.4%-12.7%) for Black participants compared with 2.5% (95% CI, 2.1%-2.9%) for non-Black participants. In the multivariable Cox proportional hazards model with the full cohort, time-varying exposure to incarceration was associated with an increased mortality rate (adjusted HR [aHR], 1.35; 95% CI, 0.97-1.88), a result that was not statistically significant. In the models stratified by race, incarceration was significantly associated with increased mortality among Black participants (aHR, 1.65; 95% CI, 1.18-2.31) but not among non-Black partic ipants (aHR, 1.17; 95% CI, 0.68-2.03).

Bibliography Citation
Bovell-Ammon, Benjamin J., Ziming Xuan, Michael K. Paasche-Orlow and Marc R. LaRochelle. "Association of Incarceration With Mortality by Race From a National Longitudinal Cohort Study." JAMA Network Open 4,12 (December 2021): DOI: 10.1001/jamanetworkopen.2021.33083.
2. Ranker, Lynsie R.
Ross, Craig S.
Rudolph, Abby E.
Weuve, Jennifer
Xuan, Ziming
Identifying and Describing Trajectories of Alcohol Use Frequency and Binge Drinking Frequency Among Those Age 15-30 in a National Cohort of U.S. Adolescents: A Group-Based Trajectory Modeling Approach
Addiction published online (17 April 2023): DOI: 10.1111/add.16216.
Also: https://onlinelibrary.wiley.com/doi/10.1111/add.16216
Cohort(s): NLSY97
Publisher: Wiley Online
Keyword(s): Alcohol Use; Modeling, Trajectory analysis

Permission to reprint the abstract has not been received from the publisher.

Analyzing long-term trajectories of alcohol use has the potential to strengthen policy and intervention priorities and timing. We identified and described trajectories of alcohol use and binge drinking frequency from mid-adolescence to early adulthood and measured the association of the role of early drinking initiation with trajectory membership.
Bibliography Citation
Ranker, Lynsie R., Craig S. Ross, Abby E. Rudolph, Jennifer Weuve and Ziming Xuan. "Identifying and Describing Trajectories of Alcohol Use Frequency and Binge Drinking Frequency Among Those Age 15-30 in a National Cohort of U.S. Adolescents: A Group-Based Trajectory Modeling Approach." Addiction published online (17 April 2023): DOI: 10.1111/add.16216.
3. Strully, Kate W.
Rehkopf, David
Xuan, Ziming
Liberal Welfare State Policies and Health: The Effect of The Earned Income Tax Credit on Child Well-Being
Presented: New Orleans, LA, Population Association of America (PAA) 2008 Annual Meeting, April 17-19, 2008
Cohort(s): Children of the NLSY79
Publisher: Population Association of America
Keyword(s): Birth Outcomes; Birthweight; Child Development; Child Health; Children, Poverty; Earned Income Tax Credit (EITC); Height; Poverty

Permission to reprint the abstract has not been received from the publisher.

In this analysis, we investigate the health effects of liberal welfare state policies by examining how enactments and expansion of state and national earned income tax credit (EITC) programs impact the health of the children of the working poor. Using two data sources — Children of the NLSY79 and U.S. Natality Data — to conduct a difference-in-difference analysis, we examine the effect of the EITC on birth weight, preterm birth, and child height.
Bibliography Citation
Strully, Kate W., David Rehkopf and Ziming Xuan. "Liberal Welfare State Policies and Health: The Effect of The Earned Income Tax Credit on Child Well-Being." Presented: New Orleans, LA, Population Association of America (PAA) 2008 Annual Meeting, April 17-19, 2008.