Literature DB >> 11400252

The role of permanent income and family structure in the determination of child health in Canada.

L J Curtis1, M D Dooley, E L Lipman, D H Feeny.   

Abstract

We use data from the Ontario Child Health Study (OCHS) to provide the first Canadian estimates of how the empirical association between child health and both low-income and family status (lone-mother versus two-parent) changes when we re-estimate the model with pooled data. Two waves of data provide a better indication of the family's long-run level of economic resources than does one wave. Our measures of health status include categorical indicators and the health utility score derived from the Health Utilities Index Mark 2 (HUI2) system. Consistent with findings from other countries, we find that most outcomes are more strongly related to low-average income (in 1982 and 1986) than to low-current income in either year. Unlike some previous research, we find the quantitative impact of low-income on child health to be modest to large. Lone-mother status is negatively associated with most outcomes, but the lone-mother coefficients did not change significantly when we switched from low-current income to low-average income. This implies that the lone-mother coefficient in single cross-sections is not just a proxy for low-permanent income. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11400252     DOI: 10.1002/hec.591

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  10 in total

1.  Challenges in health state valuation in paediatric economic evaluation: are QALYs contraindicated?

Authors:  Wendy J Ungar
Journal:  Pharmacoeconomics       Date:  2011-08       Impact factor: 4.981

2.  Socioeconomic inequalities in mental health and health-related quality of life (HRQOL) in children and adolescents from 11 European countries.

Authors:  Luis Rajmil; Michael Herdman; Ulrike Ravens-Sieberer; Michael Erhart; Jordi Alonso
Journal:  Int J Public Health       Date:  2013-06-23       Impact factor: 3.380

3.  Measuring socioeconomic adversity in early life.

Authors:  Kanwaljeet J S Anand; Joseph Rigdon; Cynthia R Rovnaghi; FeiFei Qin; Sahil Tembulkar; Nicole Bush; Kaja LeWinn; Frances A Tylavsky; Robert Davis; Donald A Barr; Ian H Gotlib
Journal:  Acta Paediatr       Date:  2019-01-25       Impact factor: 2.299

4.  Social assistance, lone parents and health: what do we know, where do we go?

Authors:  Lori J Curtis; Michael Pennock
Journal:  Can J Public Health       Date:  2006 Sep-Oct

5.  Mapping Regional Well-Being in the Universal Health Coverage System in Taiwan.

Authors:  Fuhmei Wang; Haolun Weng
Journal:  Risk Manag Healthc Policy       Date:  2020-10-08

6.  What explains the socioeconomic status-health gradient? Evidence from workplace COVID-19 infections.

Authors:  Raphael Godefroy; Joshua Lewis
Journal:  SSM Popul Health       Date:  2022-05-30

7.  Effects of low income on infant health.

Authors:  Louise Séguin; Qian Xu; Louise Potvin; Maria-Victoria Zunzunegui; Katherine L Frohlich
Journal:  CMAJ       Date:  2003-06-10       Impact factor: 8.262

8.  Family income, maternal psychological distress and child socio-emotional behaviour: Longitudinal findings from the UK Millennium Cohort Study.

Authors:  Katharine Noonan; Richéal Burns; Mara Violato
Journal:  SSM Popul Health       Date:  2018-03-10

9.  Assessing and Improving the Use of Online Information About Child Development, Education, Health, and Well-Being in Low-Education, Low-Income Parents: Protocol for a Mixed-Methods Multiphase Study.

Authors:  Pierre Pluye; Christine Loignon; François Lagarde; Geneviève Doray; Reem El Sherif; Vera Granikov; Araceli Gonzalez Reyes; Mathieu Bujold; Roland Grad; Gillian Bartlett; Melanie Barwick; Tibor Schuster; Emmanuelle Turcotte; France Bouthillier
Journal:  JMIR Res Protoc       Date:  2018-11-20

10.  Universal health insurance, health inequality and oral cancer in Taiwan.

Authors:  Fuhmei Wang; Jung-Der Wang; Yu-Wen Hung
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

  10 in total

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