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Tytuł pozycji:

Using Marginal Structural Modeling to Estimate the Cumulative Impact of an Unconditional Tax Credit on Self-Rated Health.

Tytuł :
Using Marginal Structural Modeling to Estimate the Cumulative Impact of an Unconditional Tax Credit on Self-Rated Health.
Autorzy :
Pega F
Blakely T
Glymour MM
Carter KN
Kawachi I
Pokaż więcej
Źródło :
American journal of epidemiology [Am J Epidemiol] 2016 Feb 15; Vol. 183 (4), pp. 315-24. Date of Electronic Publication: 2016 Jan 24.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
Język :
English
Imprint Name(s) :
Publication: Cary, NC : Oxford University Press
Original Publication: Baltimore, School of Hygiene and Public Health of Johns Hopkins Univ.
MeSH Terms :
Health Status*
Models, Statistical*
Taxes*
Adult ; Female ; Humans ; Male ; Middle Aged ; New Zealand ; Poverty ; Regression Analysis ; Self Report ; Young Adult
Contributed Indexing :
Keywords: New Zealand; cohort studies; confounding factors; health status; income; parents; public policy
Entry Date(s) :
Date Created: 20160126 Date Completed: 20160627 Latest Revision: 20160216
Update Code :
20211220
DOI :
10.1093/aje/kwv211
PMID :
26803908
Czasopismo naukowe
In previous studies, researchers estimated short-term relationships between financial credits and health outcomes using conventional regression analyses, but they did not account for time-varying confounders affected by prior treatment (CAPTs) or the credits' cumulative impacts over time. In this study, we examined the association between total number of years of receiving New Zealand's Family Tax Credit (FTC) and self-rated health (SRH) in 6,900 working-age parents using 7 waves of New Zealand longitudinal data (2002-2009). We conducted conventional linear regression analyses, both unadjusted and adjusted for time-invariant and time-varying confounders measured at baseline, and fitted marginal structural models (MSMs) that more fully adjusted for confounders, including CAPTs. Of all participants, 5.1%-6.8% received the FTC for 1-3 years and 1.8%-3.6% for 4-7 years. In unadjusted and adjusted conventional regression analyses, each additional year of receiving the FTC was associated with 0.033 (95% confidence interval (CI): -0.047, -0.019) and 0.026 (95% CI: -0.041, -0.010) units worse SRH (on a 5-unit scale). In the MSMs, the average causal treatment effect also reflected a small decrease in SRH (unstabilized weights: β = -0.039 unit, 95% CI: -0.058, -0.020; stabilized weights: β = -0.031 unit, 95% CI: -0.050, -0.007). Cumulatively receiving the FTC marginally reduced SRH. Conventional regression analyses and MSMs produced similar estimates, suggesting little bias from CAPTs.
(© The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

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