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Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy

Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy
Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy

Background: We developed an integrated model called Microsimulation for Income and Child Health (MICH) that provides a tool for analysing the prospective effects of fiscal policies on childhood health in European countries. The aim of this first MICH study is to evaluate the impact of alternative fiscal policies on childhood overweight and obesity in Italy. Methods: MICH model is composed of three integrated modules. Firstly, module 1 (M1) simulates the effects of fiscal policies on disposable household income using the tax-benefit microsimulation program EUROMOD fed with the Italian EU-SILC 2010 data. Secondly, module 2 (M2) exploits data provided by the Italian birth cohort called Nascita e Infanzia: gli Effetti dell’Ambiente (NINFEA), translated as Birth and Childhood: the Effects of the Environment study, and runs a series of concatenated regressions in order to estimate the prospective effects of income on child body mass index (BMI) at different ages. Finally, module 3 (M3) uses dynamic microsimulation techniques that combine the population structure and incomes obtained by M1, with regression model specifications and estimated effect sizes provided by M2, projecting BMI distributions according to the simulated policy scenarios. Results: Both universal benefits, such as universal basic income (BI), and targeted interventions, such as child benefit (CB) for poorer households, have a significant effect on childhood overweight, with a prevalence ratio (PR) in 10-year-old children—in comparison with the baseline fiscal system—of 0.88 (95%CI 0.82–0.93) and 0.89 (95%CI 0.83–0.94), respectively. The impact of the fiscal reforms was even larger for child obesity, reaching a PR of 0.67 (95%CI 0·50–0.83) for the simulated BI and 0.64 (95%CI 0.44–0.84) for CB at the same age. While both types of policies show similar effects, the estimated costs for a 1% prevalence reduction in overweight and obesity with respect to the baseline scenario is much lower with a more focalised benefit policy than with universal ones. Conclusions: Our results show that fiscal policies can have a strong impact on childhood health conditions. Focalised interventions that increase family income, especially in the most vulnerable populations, can help to prevent child overweight and obesity. Robust microsimulation models to forecast the effects of fiscal policies on health should be considered as one of the instruments to reach the Health in All Policies (HiAP) goals.

Child health, Child obesity, Child overweight, Fiscal policies, Microsimulation, Poverty alleviation
1741-7015
Rasella, Davide
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Richiardi, Lorenzo
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Brachowicz, Nicolai
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Jara, H. Xavier
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Hanson, Mark
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Boccia, Delia
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Richiardi, Matteo G.
d257a74e-0fbe-488a-a8db-4fe6742d23b6
Pizzi, Costanza
60bc00bf-bc9b-4d2f-866e-a67372542850
Rasella, Davide
7255e381-7cc2-40e1-9391-2a89a292329a
Richiardi, Lorenzo
2e1237f1-c6bf-4318-8885-60583f4afbf0
Brachowicz, Nicolai
a5ab1905-6ad7-4fb4-bda8-bdc88d39ee1b
Jara, H. Xavier
b0912b16-c878-4a21-ae2b-5b0d7530c2e7
Hanson, Mark
1952fad1-abc7-4284-a0bc-a7eb31f70a3f
Boccia, Delia
8aa76c5f-a713-49ba-bdca-181d73db899f
Richiardi, Matteo G.
d257a74e-0fbe-488a-a8db-4fe6742d23b6
Pizzi, Costanza
60bc00bf-bc9b-4d2f-866e-a67372542850

Rasella, Davide, Richiardi, Lorenzo, Brachowicz, Nicolai, Jara, H. Xavier, Hanson, Mark, Boccia, Delia, Richiardi, Matteo G. and Pizzi, Costanza (2021) Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy. BMC Medicine, 19 (1), [310]. (doi:10.1186/s12916-021-02155-6).

Record type: Article

Abstract

Background: We developed an integrated model called Microsimulation for Income and Child Health (MICH) that provides a tool for analysing the prospective effects of fiscal policies on childhood health in European countries. The aim of this first MICH study is to evaluate the impact of alternative fiscal policies on childhood overweight and obesity in Italy. Methods: MICH model is composed of three integrated modules. Firstly, module 1 (M1) simulates the effects of fiscal policies on disposable household income using the tax-benefit microsimulation program EUROMOD fed with the Italian EU-SILC 2010 data. Secondly, module 2 (M2) exploits data provided by the Italian birth cohort called Nascita e Infanzia: gli Effetti dell’Ambiente (NINFEA), translated as Birth and Childhood: the Effects of the Environment study, and runs a series of concatenated regressions in order to estimate the prospective effects of income on child body mass index (BMI) at different ages. Finally, module 3 (M3) uses dynamic microsimulation techniques that combine the population structure and incomes obtained by M1, with regression model specifications and estimated effect sizes provided by M2, projecting BMI distributions according to the simulated policy scenarios. Results: Both universal benefits, such as universal basic income (BI), and targeted interventions, such as child benefit (CB) for poorer households, have a significant effect on childhood overweight, with a prevalence ratio (PR) in 10-year-old children—in comparison with the baseline fiscal system—of 0.88 (95%CI 0.82–0.93) and 0.89 (95%CI 0.83–0.94), respectively. The impact of the fiscal reforms was even larger for child obesity, reaching a PR of 0.67 (95%CI 0·50–0.83) for the simulated BI and 0.64 (95%CI 0.44–0.84) for CB at the same age. While both types of policies show similar effects, the estimated costs for a 1% prevalence reduction in overweight and obesity with respect to the baseline scenario is much lower with a more focalised benefit policy than with universal ones. Conclusions: Our results show that fiscal policies can have a strong impact on childhood health conditions. Focalised interventions that increase family income, especially in the most vulnerable populations, can help to prevent child overweight and obesity. Robust microsimulation models to forecast the effects of fiscal policies on health should be considered as one of the instruments to reach the Health in All Policies (HiAP) goals.

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BMED-D-21-01486_R2 (2) - Accepted Manuscript
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Accepted/In Press date: 4 October 2021
Published date: 30 November 2021
Additional Information: LifeCycle: the LifeCycle project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 733206. This publication reflects only the author’s views, and the European Commission is not liable for any use that may be made of the information contained therein. STOP: the STOP project (http://www.stopchildobesity.eu/) received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 774548. The STOP Consortium is coordinated by Imperial College London and includes 24 organisations across Europe, the USA and New Zealand. The content of this publication reflects only the views of the authors, and the European Commission is not liable for any use that may be made of the information it contains. NINFEA: the NINFEA cohort was partially funded by the Compagnia San Paolo Foundation and by the Piedmont Region. MAH is supported by the British Heart Foundation.
Keywords: Child health, Child obesity, Child overweight, Fiscal policies, Microsimulation, Poverty alleviation

Identifiers

Local EPrints ID: 452647
URI: http://eprints.soton.ac.uk/id/eprint/452647
ISSN: 1741-7015
PURE UUID: 515c8cf3-e639-4cb8-8aa3-c62a49362d63
ORCID for Mark Hanson: ORCID iD orcid.org/0000-0002-6907-613X

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Date deposited: 11 Dec 2021 11:30
Last modified: 17 Mar 2024 02:51

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Contributors

Author: Davide Rasella
Author: Lorenzo Richiardi
Author: Nicolai Brachowicz
Author: H. Xavier Jara
Author: Mark Hanson ORCID iD
Author: Delia Boccia
Author: Matteo G. Richiardi
Author: Costanza Pizzi

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