Evidence map›Paper›PMID 33858289›Full record

ArticleInternational journal of circumpolar health2021

Factors predicting 31-year survival among a population cohort in Northern Finland.

Yrjö Perkkiö, Juha Auvinen, Markku Timonen, Jari Jokelainen, Nihkolas Valkeapää, Markku Koiranen, Juha Saltevo, Sirkka Keinänen-Kiukaanniemi

Abstract read
In one paragraph

Article in International journal of circumpolar health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yrjö PerkkiöCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Juha AuvinenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Markku TimonenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Jari JokelainenUnit of General Practice, Oulu University Hospital, Oulu, Finland.
Nihkolas ValkeapääLapland Central Hospital, Rovaniemi, Finland.
Markku KoiranenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Juha SaltevoCentral Finland Central Hospital, Jyväskylä, Finland.
Sirkka Keinänen-KiukaanniemiCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the survival of a subarctic population and the significance of traditional risk factors for mortality, causes of death and their seasonal variation from the period of 1984-2014. By the end of 2014 (follow-up), 644 (34.4% from 1,869) participants had died (42.1% of cardiovascular causes, 22.4% of neoplastic diseases). The average age at death±SD was 74.6±11.4 years for women (n=284) and 70.2±12.0 years for men (n=360). After adjusting for baseline age, the major risk factors predicting death were male sex (hazard ratio [HR] 1.80; 95% confidence interval [CI] 1.54-2.10), current smoking (HR 1.85; 95% CI 1.58-2.17), obesity (HR 1.75; 95% CI 1.45-2.12), high blood pressure (HR 1.46; 95% CI 1.24-1.72), cardiovascular disease (HR 1.62; 95% CI 1.36-1.93) and depression (HR 1.61; 95% CI 1.21-2.14) at baseline.The most common causes of death and the main risk factors predicting death in this population were the same as reported globally. Lifestyle factors had an important impact in predicting survival. The most common causes of death were the same for men and women. There was no significant difference in overall mortality rate between winter and summer, but cerebrovascular and pulmonary causes of death were more common during winter.

Indexed as

Cardiovascular DiseasesCohort StudiesFemaleFinlandHumansMaleProportional Hazards ModelsRisk Factorscauses-of-deathMortalityrisk factors predicting death

Identifiers

PMID33858289
PMCPMC8057088

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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.