Evidence map›Paper›PMID 34844596›Full record

ArticleBMC medicine2021

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

Davide Rasella, Lorenzo Richiardi, Nicolai Brachowicz, H Xavier Jara, Mark Hanson, Delia Boccia, Matteo G Richiardi, Costanza Pizzi

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Davide RasellaISGlobal, Hospital Clínic - Universitat de Barcelona, Carrer Rosselló 132, 08036, Barcelona, Spain. davide.rasella@isglobal.org.ORCID 0000-0002-7260-4386
Lorenzo RichiardiDepartment of Medical Sciences, University of Turin, Turin, Italy.
Nicolai BrachowiczISGlobal, Hospital Clínic - Universitat de Barcelona, Carrer Rosselló 132, 08036, Barcelona, Spain.
H Xavier JaraCentre for Microsimulation and Policy Analysis, Institute for Social and Economic Research, University of Essex, Colchester, UK.
Mark HansonInstitute of Developmental Sciences and NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton, Southampton, UK.
Delia BocciaDepartment of Medical Sciences, University of Turin, Turin, Italy.
Matteo G RichiardiCentre for Microsimulation and Policy Analysis, Institute for Social and Economic Research, University of Essex, Colchester, UK.
Costanza PizziDepartment of Medical Sciences, University of Turin, Turin, Italy.
University of Essex · GBUniversity of Turin · ITBarcelona Institute for Global Health · ESDepartment of Medical Sciences · BYUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe 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.

methodsMICH 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.

resultsBoth 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.

conclusionsOur 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.

Indexed as

Fiscal PolicyPediatric ObesityBirth CohortBody Mass IndexChildChild HealthEuropeHealth PolicyHumansOverweightPrevalenceChild healthChild obesityChild overweightFiscal policiesMicrosimulationPoverty alleviation

Identifiers

PMID34844596
PMCPMC8629597
OpenAlexW3215167076

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.