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Health information and lifestyle behaviours: the impact of a diabetes diagnosis

Author

Listed:
  • Gaggero, A.
  • Gil, J.
  • Jiménez-Rubio, D.
  • Zucchelli, E.
Abstract
We estimate short- and long-term causal impacts of a type-2 diabetes mellitus (T2DM) diagnosis on lifestyle behaviours. We employ a fuzzy regression discontinuity design exploiting the exogenous cutoff value in the diagnosis of T2DM provided by a biomarker (glycated haemoglobin, HbA1c). We make use of unique administrative longitudinal data from Spain and focus on the impact of a diagnosis on clinically measured BMI, smoking and alcohol consumption. We find that, following a T2DM diagnosis, individuals appear to reduce their weight in the short-term. These effects are particularly large among obese individuals and those diagnosed with depression. Patients who are younger, still in the labour market and healthier also present increased short-term probabilities of quitting smoking. In addition, we provide evidence of statistically significant long-term impacts of a T2DM diagnosis on BMI up to three years from the diagnosis. Our results are consistent across parametric and nonparametric estimations with varying bandwidths. Overall, our findings suggest the relevance of health information in affecting changes in key lifestyle behaviours.

Suggested Citation

  • Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:21/02
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    Cited by:

    1. Alessio Gaggero & Joan Gil & Dolores Jiménez-Rubio & Eugenio Zucchelli, 2023. "Sick and depressed? The causal impact of a diabetes diagnosis on depression," Health Economics Review, Springer, vol. 13(1), pages 1-13, December.
    2. Krista Riukula, 2023. "The effects of screening for gestational diabetes," Empirical Economics, Springer, vol. 65(4), pages 1931-1964, October.

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    More about this item

    Keywords

    diabetes; health information; lifestyle behaviours; regression discontinuity design; administrative data;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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