Evidence map›Paper›PMID 35057780›Full record

ArticleBMC public health2022

Estimating life expectancy adjusted by self-rated health status in the United States: national health interview survey linked to the mortality.

Hyunsoon Cho, Zhuoqiao Wang, K Robin Yabroff, Benmei Liu, Timothy McNeel, Eric J Feuer, Angela B Mariotto

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  3. Association between phase angle and self-rated health among Korean adults: a cross-sectional analysis from the 2022-2023 KNHANES.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 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

7 authors at 4 institutions in 2 countries.

Hyunsoon ChoDepartment of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 10408, Republic of Korea. hscho@ncc.re.kr.ORCID 0000-0002-3261-3114
Zhuoqiao WangInformation Management Services Inc., Calverton, MD, USA.
K Robin YabroffSurveillance and Health Equity Science, American Cancer Society, Atlanta, GA, USA.ORCID 0000-0003-0644-5572
Benmei LiuDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-0096-139X
Timothy McNeelInformation Management Services Inc., Calverton, MD, USA.ORCID 0000-0002-7141-5647
Eric J FeuerDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-4842-7751
Angela B MariottoDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-2423-1834
National Cancer Institute · USInformation Management Services · USAmerican Cancer Society · USNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLife expectancy is increasingly incorporated in evidence-based screening and treatment guidelines to facilitate patient-centered clinical decision-making. However, life expectancy estimates from standard life tables do not account for health status, an important prognostic factor for premature death. This study aims to address this research gap and develop life tables incorporating the health status of adults in the United States.

methodsData from the National Health Interview Survey (1986-2004) linked to mortality follow-up through to 2006 (age ≥ 40, n = 729,531) were used to develop life tables. The impact of self-rated health (excellent, very good, good, fair, poor) on survival was quantified in 5-year age groups, incorporating complex survey design and weights. Life expectancies were estimated by extrapolating the modeled survival probabilities.

resultsLife expectancies incorporating health status differed substantially from standard US life tables and by health status. Poor self-rated health more significantly affected the survival of younger compared to older individuals, resulting in substantial decreases in life expectancy. At age 40 years, hazards of dying for white men who reported poor vs. excellent health was 8.5 (95% CI: 7.0,10.3) times greater, resulting in a 23-year difference in life expectancy (poor vs. excellent: 22 vs. 45), while at age 80 years, the hazards ratio was 2.4 (95% CI: 2.1, 2.8) and life expectancy difference was 5 years (5 vs. 10). Relative to the US general population, life expectancies of adults (age < 65) with poor health were approximately 5-15 years shorter.

conclusionsConsiderable shortage in life expectancy due to poor self-rated health existed. The life table developed can be helpful by including a patient perspective on their health and be used in conjunction with other predictive models in clinical decision making, particularly for younger adults in poor health, for whom life tables including comorbid conditions are limited.

Indexed as

Health StatusLife ExpectancyAdolescentAdultAged, 80 and overChildChild, PreschoolHumansLife TablesMaleMass ScreeningMortalityMortality, PrematureUnited StatesLife expectancyMortality, health surveyNational Health Interview SurveySelf-rated health statusSurvival

Identifiers

PMID35057780
PMCPMC8772174
OpenAlexW4205263116

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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.