Association of Happiness and Life Satisfaction with Cancer Mortality in the United States: A Longitudinal Analysis
DOI:
https://doi.org/10.21106/ijtmrph.206Keywords:
- Happiness,
- Life satisfaction,
- Cancer,
- Mortality,
- Longitudinal,
- Social determinants
Abstract
Background: The impact of happiness and life satisfaction on cancer mortality is not well studied. Using a longitudinal dataset, we examined the association between levels of happiness/life satisfaction and cancer mortality in the United States. Methods: We analyzed the 2001 National Health Interview Survey (NHIS) prospectively linked to 2001- 2014 mortality records in the National Death Index (NDI) (N=30,933). Cox proportional hazards regression was used to model survival time as a function of happiness, life satisfaction, and sociodemographic and behavioral characteristics. Results: In Cox models with 14 years of mortality follow-up, cancer mortality risk was 78% higher (hazard ratio [HR]=1.78; 95% CI=1.42,2.23) in adults with little or no happiness, controlling for age, and 53% higher (HR=1.53; 95% CI=1.19,1.97) in adults with little/no happiness, controlling for sociodemographic, behavioral and health characteristics, when compared with adults reporting happiness most or all of the time. Ageadjusted cancer mortality risk increased by 41% (HR=1.41; 95% CI=1.21,1.77) in adults who were very dissatisfied with their life. Cancer mortality did not vary by life satisfaction after adjusting for all covariates. Conclusions and Implications for Translation: Adults with lower happiness levels had significantly higher cancer mortality risks than those with higher happiness levels. Excess mortality was substantially accounted for by sociodemographic, behavioral, and health risk factors.
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Copyright © 2020 Hyunjung Lee, Gopal K Singh. Published by Global Health and Education Projects, Inc., USA.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.



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