Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 420

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Self-reported Life Satisfaction and 20-Year Mortality in Healthy Finnish Adults

Koivumaa-Honkanen, H.·2000·American Journal of Epidemiology

Abstract

The authors investigated the role of self-reported life satisfaction in mortality with a prospective cohort study (1976-1995). A nationwide sample of healthy adults (18-64 years, n = 22,461) from the Finnish Twin Cohort responded to a questionnaire about life satisfaction and known predictors of mortality in 1975. A summary score for life satisfaction (LS), defined as interest in life, happiness, loneliness, and general ease of living (scale range, 4-20), was determined and used as a three-category variable: the satisfied (LS, 4-6) (21%), the intermediate group (LS, 7-11) (65%), and the dissatisfied (LS, 12-20) (14%). Mortality data were analyzed with Cox regression. Dissatisfaction was linearly associated with increased mortality. The age-adjusted hazard ratios of all-cause, disease, or injury mortality among dissatisfied versus satisfied men were 2.11 (95% confidence interval (CI): 1.68, 2.64), 1.83 (95% CI: 1.40, 2.39), and 3.01 (95% CI: 1.94, 4.69), respectively. Adjusting for marital status, social class, smoking, alcohol use, and physical activity diminished these risks to 1.49 (95% CI: 1.16, 1.92), 1.35 (95% CI: 1.01, 1.82), and 1.93 (95% CI: 1.19, 3.12), respectively. Dissatisfaction was associated with increased disease mortality, particularly in men with heavy alcohol use (hazard ratio = 3.76, 95% CI: 1.61, 8.80). Women did not show similar associations between life satisfaction and mortality. Life dissatisfaction may predict mortality and serve as a general health risk indicator. This effect seems to be partially mediated through adverse health behavior.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/aje/152.10.983

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 420

Metadata

Authors
Koivumaa-Honkanen, H.
Venue
American Journal of Epidemiology
Published
2000-11-15
Volume
152
Issue
10
Pages
983-991
ISSN
0002-9262 (ISSN-L)
OpenAlex
W2118941602
Cited by
420
References
4
FWCI
10.76
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.