Evidence map›Paper›PMID 32517656›Full record

ArticleBMC geriatrics2020

Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women.

Masuma Novak, Margda Waern, Lena Johansson, Anna Zettergren, Lina Ryden, Hanna Wetterberg, Pia Gudmundsson, Ingmar Skoog

Abstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  4. Article
  5. The societal cost of 'unwanted' loneliness in Spain.The European journal of health economics : HEPAC : health economics in prevention and care · 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

8 authors.

Masuma NovakInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden. masuma.novak@gu.se.ORCID http://orcid.org/0000-0001-8313-7376
Margda WaernInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Lena JohanssonInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Anna ZettergrenInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Lina RydenInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Hanna WetterbergInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Pia GudmundssonInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.
Ingmar SkoogInstitute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.

Funding

ALF-agreement ALF 716681, ALF715841Swedish Research Council for Health, Working Life and Welfare 2001-2835, 2004-0145, 2006-0596, 2008-1111, 2010-0870, 2013-1202, 2016-07097, AGECAP 2013-2300, 2013-2496, 2013-0475the Swedish Research Council 11267, 825-2007-7462, 2012-5041, 2013-8717, 2015-02830, 2016-01590
6 · The paper itself

Abstract

backgroundThis study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women.

methodsBaseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n = 524). Mortality data were analyzed until 2012 through Swedish national registers.

resultsPerceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78-2.96; all-cause HR 1.32, 95% CI 0.77-2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14-4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04-5.65).

conclusionsLoneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

Indexed as

Cardiovascular DiseasesLonelinessAgedCohort StudiesFemaleHumansMaleMortalityRisk FactorsSwedenCVDEpidemiologyLonelinessMortalitySweden

Identifiers

PMID32517656
PMCPMC7285599

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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.