Evidence map›Paper›PMID 10562875›Full record

ArticleJournal of epidemiology and community health1999

Health expectancy in New Zealand, 1981-1991: social variations and trends in a period of rapid social and economic change.

P Davis, P Graham, N Pearce

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Measuring inequalities in health: the case for healthy life expectancy.Journal of epidemiology and community health · 2006
    Article
  4. Article
  5. 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

3 authors.

P DavisDepartment of Community Health, Faculty of Medicine and Health Science, University of Auckland.
P Graham
N Pearce

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveTo assess social variations and trends in health expectancy over a period of rapid social and economic change.

designCross sectional survey data on the association between social status--gender, socioeconomic class and ethnic group--and measures of health status at two points in time approximately a decade apart. The Sullivan method of calculating health expectancy was used.

settingThe adult population of New Zealand in the periods 1980-81 and 1992-93.

participantsRepresentative samples of the adult civilian non-institutionalised population of 6,891 (1980-81) and 5,873 (1992-93) respectively. MAIN

resultsIn comparison with life expectancy, adjusting for health status narrowed the gender gap but widened socioeconomic and ethnic differentials. These results were replicated for three measures--self reported health, mobility, and handicap--suggesting a robustness of outcome to specific indicators. Comparable data over the period of study were only available for the mobility measure. Increases in longevity appeared to be fully absorbed by minor disability. Ethnic and socioeconomic disadvantages remained static or widened for the 15-64 age group, suggesting a potential social polarisation in the disability transition.

conclusionsThe operationalization of health expectancy appears to be rather robust to specific indicators. Health expectancy may provide a sensitive health impact assessment of social and economic policy. Existing theories of the disability transition may need to be modified to take account of social variation, at least in the special case of disability free health expectancy over the 15-64 age range.

Indexed as

Health StatusSocial ClassAdolescentAdultCross-Sectional StudiesEthnicityFemaleHumansLife ExpectancyMaleMiddle AgedNew ZealandQuality of Life

Identifiers

PMID10562875
PMCPMC1756964

What OpenQuestion holds

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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.