Evidence map›Paper›PMID 31111403›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019

Subjective expectations regarding ageing: a cross-sectional online population survey in Hungary.

Márta Péntek, Ottó Hajdu, Fanni Rencz, Zsuzsanna Beretzky, Valentin Brodszky, Petra Baji, Zsombor Zrubka, Klára Major, László Gulácsi

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

9 authors at 2 institutions in 1 country.

Márta PéntekDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary. marta.pentek@uni-corvinus.hu.ORCID http://orcid.org/0000-0001-9636-6012
Ottó HajduDepartment of Comparative Economics, Institute of Business Economics, Eötvös Loránd University, Szép u. 2, Budapest, 1053, Hungary.
Fanni RenczDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.ORCID http://orcid.org/0000-0001-9674-620X
Zsuzsanna BeretzkyDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.
Valentin BrodszkyDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.ORCID http://orcid.org/0000-0002-6095-2295
Petra BajiDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.ORCID http://orcid.org/0000-0003-2899-8557
Zsombor ZrubkaDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.ORCID http://orcid.org/0000-0002-1992-6087
Klára MajorDepartment of Macroeconomics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.
László GulácsiDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, 1093, Hungary.ORCID http://orcid.org/0000-0002-9285-8746
Corvinus University of Budapest · HUEötvös Loránd University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate individuals' subjective expectations regarding health and happiness alongside their provisions on life circumstances for older ages.

methodsA cross-sectional online survey was performed involving a representative sample (N = 1000; mean age 50.9, SD = 15.4; female 54.5%) in Hungary. Subjective expectations on health status (EQ-5D-3L/-5L, GALI, WHO-5), happiness (0-10 VAS), employment status, care time, and forms of care for ages 60, 70, 80, and 90 were surveyed.

resultsCurrent mean EQ-5D-5L was 0.869 (SD = 0.164) and happiness was 6.7 (SD = 2.4). Subjective life expectancy was 80.9 (SD = 11.1), and median expected retirement age was 65. Mean expected EQ-5D-5L for ages 60/70/80/90 was 0.761/0.684/0.554/0.402, and no activity limitations (GALI) were expected by 64%/40%/18%/14%, respectively. Expected happiness score was 6.8/6.7/6.2/5.7, and a decrease in mental well-being (WHO-5) was provisioned. A substantial increase in drug expenses and care time was anticipated, but only 52% thought to have extra income besides pension. The great majority expected to be helped by the family (77%/72%/53%/40%) if needed. Educational level, GALI, and longevity expectations were significant predictors of EQ-5D-5L expectations using a standard 5% significance level of decision. Current happiness was major determinant of expected future happiness.

conclusionsIndividuals expect a significant deterioration of health with age but only a moderate decrease in happiness. Overestimation of future activity limitations suggests a gap between statistical and subjective healthy life expectancy. The majority expects to rely on informal care in the elderly. Raise in retirement age is underestimated. Our results can be used as inputs for economic modelling of labor force participation and ageing.

Indexed as

HappinessHealth StatusMental HealthQuality of LifeActivities of Daily LivingAdolescentAdultAgedAgingCross-Sectional StudiesFees, PharmaceuticalFemaleHealth ExpendituresHumansHungaryLife ExpectancyAgeingEmploymentEQ-5D-5LHappinessInformal careSubjective expectations

Identifiers

PMID31111403
PMCPMC6544751
OpenAlexW2946008035

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.