The effect of type 2 diabetes diagnosis in the elderly

Gaggero, Alessio

doi:10.1016/j.ehb.2019.100830

Cited by 5 publications

(9 citation statements)

References 33 publications

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“…Importantly, most medical evidence tends to rely on self-reported information of key variables of interest and only identifies standard statistical correlations, while overlooking potential endogeneity issues. Gaggero [ 7 ] appears to be among the very few economics studies attempting to identify the effect of a diabetes diagnosis on a measure of mental health. However, he only employs self-reported information on mental health together with a less reliable biomarker, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, the medical literature finds that the information provided by portable devices [1,2] or the diagnosis of specific types of cancer [3,4] might trigger behavioural changes and ultimately affect health outcomes. More recently, the economics literature has started exploring the role of health information by focusing on the impact of the diagnosis of chronic conditions, including hypertension and diabetes [5][6][7][8][9]. While these recent economics studies often employ causal inference methods and are thus capable of identifying causal effects, they mostly focus on changes in health-behaviours while ignoring other relevant health outcomes such as mental health.…”

Section: Introductionmentioning

confidence: 99%

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Sick and depressed? The causal impact of a diabetes diagnosis on depression

et al. 2023

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Background There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the effect of a diabetes diagnosis on depression. Methods We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off value of a biomarker used to diagnose type-2 diabetes (glycated haemoglobin, HbA1c) and information on psycometrically validated measures of diagnosed clinical depression drawn from rich administrative longitudinal individual-level data from a large municipality in Spain. This approach allows estimating the causal impact of a type-2 diabetes diagnosis on clinica ldepression. Results We find that overall a type-2 diabetes diagnosis increases the probability of becoming depressed, however this effect appears to be driven mostly by women, and in particular those who are relatively younger and obese. Results also appear to differ by changes in lifestyle induced by the diabetes diagnosis: while women who did not lose weight are more likely to develop depression, men who did lose weight present a reduced probability of being depressed. Results are robust to alternative parametric and non-parametric specifications and placebo tests. Conclusions The study provides novel empirical evidence on the causal impact of health information on mental health, shedding light on gender-based differences in such effects and potential mechanisms through changes in lifestyle behaviours.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sick and depressed? The causal impact of a diabetes diagnosis on depression

et al. 2023

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“…While the economics literature on the effectiveness of different types of broad health information campaigns is wide and increasingly exploits causal inference methods (e.g. Brown and Schrader, 1990;Chern at al., 1995;Kim and Chern, 1999;Roosen et al, 2009;Alleis et al, 2015;Fichera and von Hinke, 2020), only a handful of recent economic studies have so far explored the causal impact of a diagnosis on lifestyle behaviours (Zhao et al, 2013;Kim et al, 2019;Gaggero, 2020). Zhao et al (2013) employ a regression discontinuity design (RDD) on data from the China Health and Nutrition Survey (CHNS) to investigate the impact of a hypertension diagnosis on several health outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…However, they also find that individuals classified as high risk for diabetes who are prompted for a second visit exhibit reductions in waist circumference in the short-run. 1 Moreover, exploiting a RDD on a sample of individuals aged 50 years and above, Gaggero (2020) provides evidence of a short-term reduction in BMI and waist circumference following a T2DM diagnosis. Hence, results on the causal impact of a diagnosis on lifestyle behaviours appear to be mixed.…”

Section: Introductionmentioning

confidence: 99%

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Health Information and Lifestyle Behaviours: the Impact of a Diabetes Diagnosis

et al. 2021

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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 cut-off 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 non-parametric estimations with varying bandwidths.

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Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models

Seuring

Serneels

Suhrcke

et al. 2020

Economics & Human Biology

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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The effect of type 2 diabetes diagnosis in the elderly

Cited by 5 publications

References 33 publications

Sick and depressed? The causal impact of a diabetes diagnosis on depression

Sick and depressed? The causal impact of a diabetes diagnosis on depression

Health Information and Lifestyle Behaviours: the Impact of a Diabetes Diagnosis

Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models

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