Evidence map›Paper›PMID 35271611›Full record

ArticlePloS one2022

Comparing actuarial and subjective healthy life expectancy estimates: A cross-sectional survey among the general population in Hungary.

Zsombor Zrubka, Áron Kincses, Tamás Ferenci, Levente Kovács, László Gulácsi, Márta Péntek

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. 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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5 · Who and what money

Authors and funding

6 authors.

Zsombor ZrubkaUniversity Research and Innovation Center, Óbuda University, Budapest, Hungary.ORCID 0000-0002-1992-6087
Áron KincsesHungarian Central Statistical Office, Budapest, Hungary.
Tamás FerenciUniversity Research and Innovation Center, Óbuda University, Budapest, Hungary.ORCID 0000-0001-6791-3080
Levente KovácsUniversity Research and Innovation Center, Óbuda University, Budapest, Hungary.ORCID 0000-0002-3188-0800
László GulácsiUniversity Research and Innovation Center, Óbuda University, Budapest, Hungary.
Márta PéntekUniversity Research and Innovation Center, Óbuda University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthy life expectancy (HLE) is becoming an important indicator of population health. While actuarial estimates of HLE are frequently studied, there is scarcity of research on the subjective expectations of people about their HLE. The objective of this study is to compare actuarial and subjective HLE (sHLE) estimates in the ≥50-year-old Hungarian general population. Furthermore, we assessed subjective life expectancy (sLE) and explored determinants of the individual variance of sHLE and sLE.

methodsWe conducted a cross-sectional online survey in 2019. Subjective health expectations were measured at 60, 70, 80 and 90 years of age via the Global Activity Limitation Indicator (GALI). Point-estimates of sLE and background variables were also recorded. sHLE was estimated from GALI and sLE responses. Actuarial estimates of life expectancy (LE) and HLE for 2019 were provided by the Central Statistical Office of Hungary.

resultsFive hundred and four respondents (female 51.6%) were included. Mean (±SD) age was 63 (±7.5) years. Median LE (81.5 years, 95%CI 81.1-81.7) and sLE (82 years, 95%CI 80-85) were similar (p = 0.142), while median sHLE (66.8 years, 95%CI 65.5-68.3) was lower than HLE (72.7 years, 95%CI 82.4-82.9) by 5.9 years (p<0.001). Despite the greater median actuarial LE of women compared to men (p<0.001), we found no gender differences between the median sLE (p = 0.930), HLE (p = 0.417) and sHLE (p = 0.403) values. With less apparent gender differences among the predictors when compared to sLE, sHLE was mainly determined by self-perceived health, age and place of residence, while self-perceived health, close relatives' longevity, social conditions, happiness and perceived lifestyle influenced sLE.

conclusionsAlong subjective life expectancy, subjective healthy life expectancy may be a feasible indicator and provide insights to individuals' subjective expectations underlying the demographic estimates of the healthy life expectancy of the population.

Indexed as

Health StatusHealthy Life ExpectancyAgedCross-Sectional StudiesFemaleHumansHungaryMaleMiddle Aged

Identifiers

PMID35271611
PMCPMC8912206

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