Evidence map›Paper›PMID 32179559›Full record

ArticleBMJ open2020

Has working-age morbidity been declining? Changes over time in survey measures of general health, chronic diseases, symptoms and biomarkers in England 1994-2014.

Ben Baumberg Geiger

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Ben Baumberg GeigerSchool of Social Policy, Sociology and Social Research (SSPSSR), University of Kent, Canterbury, UK b.b.geiger@kent.ac.uk.ORCID 0000-0003-0341-3532
University of Kent · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs life expectancy has increased in high-income countries, there has been a global debate about whether additional years of life are free from ill-health/disability. However, little attention has been given to changes over time in morbidity in the DESIGN, SETTING AND

participantsWe use a high-quality annual cross-sectional survey, the Health Survey for England (HSE) 1994-2014. HSE uses a random sample of the English household population, with a combined sample size of over 140 000 people. We produce a newly harmonised version of HSE that maximises comparability over time, including new non-response weights. While HSE is used for monitoring population health, it has hitherto not used for investigating morbidity as a whole. OUTCOME MEASURES: We analyse all 39 measures that are fully comparable over time-including chronic disease diagnoses, symptomatology and a number of biomarkers-adjusting for gender and age.

resultsWe find a mixed picture: we see improving cardiovascular and respiratory health, but deteriorations in obesity, diabetes, some biomarkers and feelings of extreme anxiety/depression, alongside stability in moderate mental ill-health and musculoskeletal-related health. In several domains we also see stable or rising chronic disease

conclusionsDespite considerable falls in working-age mortality-and the assumptions of many policy-makers that morbidity will follow mortality - there is no systematic improvement in overall working-age morbidity in England from 1994 to 2014.

Indexed as

AdultBiomarkersCardiovascular DiseasesChronic DiseaseCross-Sectional StudiesDiabetes MellitusEnglandFemaleHumansMaleMiddle AgedMorbidityObesityPopulation HealthBiomarkersbiomarkerscross-sectional studiesEnglandmorbiditypopulation healthtrends

Identifiers

PMID32179559
PMCPMC7073795
OpenAlexW3011352506

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.