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The fundamental association between mental health and life satisfaction: results from successive waves of a Canadian national survey

Overview of attention for article published in BMC Public Health, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
twitter
7 X users

Citations

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179 Dimensions

Readers on

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294 Mendeley
Title
The fundamental association between mental health and life satisfaction: results from successive waves of a Canadian national survey
Published in
BMC Public Health, March 2018
DOI 10.1186/s12889-018-5235-x
Pubmed ID
Authors

Patrick Lombardo, Wayne Jones, Liangliang Wang, Xin Shen, Elliot M. Goldner

Abstract

A self-reported life satisfaction question is routinely used as an indicator of societal well-being. Several studies support that mental illness is an important determinant for life satisfaction and improvement of mental healthcare access therefore could have beneficial effects on a population's life satisfaction. However, only a few studies report the relationship between subjective mental health and life satisfaction. Subjective mental health is a broader concept than the presence or absence of psychopathology. In this study, we examine the strength of the association between a self-reported mental health question and self-reported life satisfaction, taking into account other relevant factors. We conducted this analysis using successive waves of the Canadian Community Health Survey (CCHS) collected between 2003 and 2012. Respondents included more than 400,000 participants aged 12 and over. We extracted information on self-reported mental health, socio-demographic and other factors and examined correlation with self-reported life satisfaction using a proportional ordered logistic regression. Life satisfaction was strongly associated with self-reported mental health, even after simultaneously considering factors such as income, general health, and gender. The poor-self-reported mental health group had a particularly low life satisfaction. In the fair-self-reported mental health category, the odds of having a higher life satisfaction were 2.35 (95% CI 2.21 to 2.50) times higher than the odds in the poor category. In contrast, for the "between 60,000 CAD and 79,999 CAD" household income category, the odds of having a higher life satisfaction were only 1.96 (95% CI 1.90 to 2.01) times higher than the odds in the "less than 19,999 CAD" category. Subjective mental health contributes highly to life satisfaction, being more strongly associated than other selected previously known factors. Future studies could be useful to deepen our understanding of the interplay between subjective mental health, mental illness and life satisfaction. This may be beneficial for developing public health policies that optimize mental health promotion, illness prevention and treatment of mental disorders to enhance life satisfaction in the general population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 294 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 14%
Student > Bachelor 32 11%
Student > Ph. D. Student 27 9%
Researcher 18 6%
Student > Doctoral Student 14 5%
Other 45 15%
Unknown 116 39%
Readers by discipline Count As %
Psychology 46 16%
Social Sciences 25 9%
Medicine and Dentistry 18 6%
Nursing and Health Professions 17 6%
Economics, Econometrics and Finance 11 4%
Other 41 14%
Unknown 136 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2020.
All research outputs
#1,714,086
of 23,577,654 outputs
Outputs from BMC Public Health
#1,868
of 15,296 outputs
Outputs of similar age
#39,191
of 333,774 outputs
Outputs of similar age from BMC Public Health
#64
of 316 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,774 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.