Evidence map›Paper›PMID 18431075›Full record

ReviewAging clinical and experimental research2008

Men: good health and high mortality. Sex differences in health and aging.

Anna Oksuzyan, Knud Juel, James W Vaupel, Kaare Christensen

Abstract readComparative StudyReview
In one paragraph

Review in Aging clinical and experimental research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 305 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
305citing papers in PubMed, 3 pooled it
–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

305 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Quality-adjusted life expectancy norms for the Canadian population using EQ-5D-5L and SF-6Dv2.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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245 more citing papers are in PubMed but not listed here.

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

4 authors.

Anna OksuzyanMax Planck Institute for Demographic Research, 18057 Rostock, Germany. oksuzyan@demogr.mpg.de
Knud Juel
James W Vaupel
Kaare Christensen

Funding

TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROACH, DEBORAH A · 1990 to 2008
$17.5M
NIA NIH HHS P01 AG008761NIA NIH HHS P01 AG 08761
6 · The paper itself

Abstract

This review examines sex differences in health and survival, with a focus on the Nordic countries. There is a remarkable discrepancy between the health and survival of the sexes: men are physically stronger and have fewer disabilities, but have substantially higher mortality at all ages compared with women: the so-called male-female health-survival paradox. A number of proposed explanations for this paradox are rooted in biological, social, and psychological interpretations. It is likely to be due to multiple causes that include fundamental biological differences between the sexes such as genetic factors, immune system responses, hormones, and disease patterns. Behavioral differences such as risk-taking and reluctance to seek and comply with medical treatment may also play a role. Another consideration is that part of the difference may be due to methodological challenges, such as selective non-participation and under-reporting of health problems, and delayed seeking of treatment by men. The Nordic countries provide a unique opportunity for such studies, as they have good-quality data in their national health registers, which cover the whole population, and a long tradition of high participation rates in surveys.

Indexed as

AgingHealth StatusMortalitySex CharacteristicsAdolescentAdultAgedAged, 80 and overDelivery of Health CareFemaleHealth BehaviorHumansLife StyleMaleMiddle AgedModels, Biological

Identifiers

PMID18431075
PMCPMC3629373

What OpenQuestion holds

Textmetadata
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.