Literature DB >> 23934602

Getting stuck in the blues: persistence of mental health problems in Australia.

John Roy1, Stefanie Schurer.   

Abstract

Do episodes of mental health (MH) problems cause future MH problems, and if yes, how strong are these dynamics? We quantify the degree of persistence in MH problems using nationally representative, longitudinal data from Australia and system generalized method of moments (GMM), and correlated random effects approaches are applied to separate true from spurious state dependence. Our results suggest only a moderate degree of persistence in MH problems when assuming that persistence is constant across the MH distribution once individual-specific heterogeneity is accounted for. However, individuals who fell once below a threshold that indicates an episode of depression are up to five times more likely to experience such a low score again a year later, indicating a strong element of state dependence in depression. Low income is a strong risk factor in state dependence for both men and women, which has important policy implications.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  C23; GMM; HILDA; I14; Mental health; depression and anxiety; dynamic panel data models

Mesh:

Year:  2013        PMID: 23934602     DOI: 10.1002/hec.2967

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


  3 in total

1.  The dynamics of physical and mental health in the older population.

Authors:  Julius Ohrnberger; Eleonora Fichera; Matt Sutton
Journal:  J Econ Ageing       Date:  2017-06

2.  The persistence of child and adolescence mental healthcare: results from registry data.

Authors:  Hermien H Dijk; Roel D Freriks; Rob J M Alessie; Jochen O Mierau
Journal:  BMC Health Serv Res       Date:  2020-12-02       Impact factor: 2.655

3.  Perceived social support on postpartum mental health:  An instrumental variable analysis.

Authors:  John Nkwoma Inekwe; Evelyn Lee
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

  3 in total

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