Evidence map›Paper›PMID 32799842›Full record

ArticleBMC public health2020

Comparative analysis of the economic burdens of physical inactivity in Hungary between 2005 and 2017.

Pongrác Ács, Antal Kovács, Dávid Paár, Márk Hoffbauer, Péter Szabó, Tünde Szabó, Miklós Stocker

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Relationship between Inequalities in Household Sports Consumption Expenditures and Income Level.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Production losses due to mortality associated with modifiable health risk factors in Poland.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  7. Article
  8. Article
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

7 authors at 3 institutions in 1 country.

Pongrác ÁcsUniversity of Pecs, Faculty of Health Sciences, Pecs, Hungary.ORCID https://orcid.org/0000-0002-4999-7345
Antal KovácsUniversity of Pecs, Faculty of Health Sciences, Pecs, Hungary.
Dávid PaárUniversity of Pecs, Faculty of Health Sciences, Pecs, Hungary. david.paar@etk.pte.hu.ORCID https://orcid.org/0000-0002-4643-933X
Márk HoffbauerUniversity of Pecs, Faculty of Health Sciences, Pecs, Hungary.ORCID https://orcid.org/0000-0002-0042-6007
Péter SzabóUniversity of Pecs, Faculty of Health Sciences, Pecs, Hungary.
Tünde SzabóUniversity of Physical Education, Budapest, Hungary.
Miklós StockerCorvinus University of Budapest, Corvinus Business School, Budapest, Hungary.ORCID https://orcid.org/0000-0003-2670-6717
University of Pecs · HUCorvinus University of Budapest · HUHungarian University of Sports Science · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational economies are increasingly facing the challenge of having to finance the prevention and treatment of human diseases, and of having to compensate for the resulting loss of economic production. Physical inactivity is demonstrably closely related to the risk of developing certain disease group. Physical inactivity results in direct and indirect burdens that the present study intends to quantify in Hungary for the period between 2005 and 2017.

methodsBased on the data of the Hungarian public finances, this study determines the direct and indirect costs incurred by Hungary due to illnesses, and, through the PAR method, it quantifies the financial burden of physical inactivity incurred by the Hungarian Treasury.

resultsThe total financial burden of illnesses in Hungary showed a decreasing tendency from 2005 to 2017, even though the year 2017 saw an increase in costs compared to 2014. Similarly, while total public expenditure on illnesses associated with physical inactivity increased by 2017 when compared to 2009, the total amount attributable to medical conditions stemming from physical inactivity still showed a decrease of 2 billion HUF in the overall period. The biggest economic burden is posed by cardiovascular diseases, hypertension and type 2 diabetes.

conclusionsThe increase in the economic burden associated with physical inactivity can be attributed to the combined effect of two factors: changes in total expenditure on specific disease groups (which showed an increase in the period under review) and changes in the physical activity levels of the Hungarian population (which showed an improvement over the period under review). Initiatives in Hungary aimed at encouraging an active lifestyle from childhood onwards should be continued since - beyond the initial impact that has already been felt to some extent in recent years - these initiatives will come to their full fruition in the coming decades.

Indexed as

Cost of IllnessSedentary BehaviorCardiovascular DiseasesDiabetes Mellitus, Type 2Health ExpendituresHumansHungaryHypertensionDirect costsEconomic burdenIndirect burdenPAR-methodPhysical inactivityPopulation attributable risk

Identifiers

PMID32799842
PMCPMC7429901
OpenAlexW3049590306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.