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


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
09 06 2020
Historique:
received: 23 01 2020
accepted: 04 06 2020
entrez: 11 6 2020
pubmed: 11 6 2020
medline: 22 12 2020
Statut: epublish

Résumé

This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Baseline 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. Perceived 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). Loneliness 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.

Sections du résumé

BACKGROUND
This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women.
METHODS
Baseline 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.
RESULTS
Perceived 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).
CONCLUSIONS
Loneliness 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.

Identifiants

pubmed: 32517656
doi: 10.1186/s12877-020-01603-x
pii: 10.1186/s12877-020-01603-x
pmc: PMC7285599
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

201

Subventions

Organisme : the Swedish Research Council
ID : 11267, 825-2007-7462, 2012-5041, 2013-8717, 2015-02830, 2016-01590
Pays : International
Organisme : Swedish Research Council for Health, Working Life and Welfare
ID : 2001-2835, 2004-0145, 2006-0596, 2008-1111, 2010-0870, 2013-1202, 2016-07097, AGECAP 2013-2300, 2013-2496, 2013-0475
Pays : International
Organisme : ALF-agreement
ID : ALF 716681, ALF715841
Pays : International

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Auteurs

Masuma Novak (M)

Institute 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.

Margda Waern (M)

Institute 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 Johansson (L)

Institute 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 Zettergren (A)

Institute 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 Ryden (L)

Institute 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 Wetterberg (H)

Institute 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 Gudmundsson (P)

Institute 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 Skoog (I)

Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Unit of Psychiatric Epidemiology, Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, 431 41, Mölndal, Sweden.

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Classifications MeSH