Download PDFPDF

Impact of the great recession on self-perceived health in Spain: a longitudinal study with individual data
Compose Response

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g.
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Statement of Competing Interests


  • Responses are moderated before posting and publication is at the absolute discretion of BMJ, however they are not peer-reviewed
  • Once published, you will not have the right to remove or edit your response. Removal or editing of responses is at BMJ's absolute discretion
  • If patients could recognise themselves, or anyone else could recognise a patient from your description, please obtain the patient's written consent to publication and send them to the editorial office before submitting your response [Patient consent forms]
  • By submitting this response you are agreeing to our full [Response terms and requirements]

Vertical Tabs

Other responses

Jump to comment:

  • Published on:
    Inconclusive evidence on self-assessed health in Spain during the Great Recession

    Saez, Vidiella-Martin, and López Casasnovas1 investigate the impact of the Great Recession on self-assessed health in Spain analyzing data from four waves—2005, 2008, 2011 and 2014—of a Survey of Household Finances by the Bank of Spain. The surveys included repeated observations of self-assessed health and other variables measured in the same individuals.
    The statistical model of Saez et al. is a mixed logistic regression in which the log of the odds of poor health (log [P / (1 - P)], where P is the probability of declaring poor health) is computed as a linear combination of a random effect for the year of the survey, random effects for individuals and families, and a large set of control variables at both family level (gross wealth, total debt, family income, savings rate, family size, number of family members who work, and type of family residence—owned or rented) and individual level (sex, age—stratified in six groups—, educational level, occupation, and marital status). Saez et al. computed the model with and without adjustment for the control variables and both for the whole sample and for 12 subsamples stratified by sex and age. The observations were weighted, to compensate for the fact that the original survey oversampled the wealthiest households, and the sample was trimmed to eliminate outliers.
    Saez et al. found a downward change in self-perceived health during the third wave of the survey, i.e., that of 2011, which coincides with the most severe per...

    Show More
    Conflict of Interest:
    None declared.