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Predictor variables of happiness and its connection with risk and protective factors for health

Overview of attention for article published in Frontiers in Psychology, August 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
137 Mendeley
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Title
Predictor variables of happiness and its connection with risk and protective factors for health
Published in
Frontiers in Psychology, August 2015
DOI 10.3389/fpsyg.2015.01176
Pubmed ID
Authors

Maite Garaigordobil

Abstract

Great thinkers, philosophers, scientists, and artists from History have often been concerned about one of the most important elements of life: happiness. The study had four goals: (1) To analyze possible differences in feelings of happiness as a function of sex and age; (2) To explore the relations of happiness with risk factors (psychopathological symptoms, behavior problems) and protective factors (self-concept-self-esteem, cooperative behavior, social skills) for health; (3) To identify predictor variables of happiness; and (4) To explore whether self-esteem mediates the relationship between happiness and psychopathological symptoms. The sample comprised 286 adolescents (14-16 years old). The study used a descriptive, correlational, and cross-sectional methodology. Seven assessment instruments were administered. The ANOVAs confirm that there are no sex differences, but happiness decreases as age increases. Pearson coefficients show that adolescents with more feelings of happiness had fewer psychopathological symptoms (somatization, obsession-compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoticism…), fewer behavioral problems (school-academic, antisocial behavior, shyness-withdrawal, psychopathological, psychosomatic), high social adaptation, high self-concept/self-esteem, many cooperative behaviors, many appropriate social skills, and few negative social skills (inappropriate assertiveness, impulsiveness, jealousy-withdrawal). Multiple regression analysis identified five variables predicting happiness: high self-concept, few symptoms of depression, many cooperative behaviors, high self-esteem, and low psychoticism. Results showed a partial mediational effect of self-esteem in the relation between happiness and psychopathological symptoms. The discussion focuses on the importance of implementing programs to promote feelings of happiness, as well as protective factors for health (self-esteem, cooperation…).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 135 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Student > Ph. D. Student 18 13%
Student > Bachelor 18 13%
Student > Doctoral Student 15 11%
Researcher 10 7%
Other 15 11%
Unknown 38 28%
Readers by discipline Count As %
Psychology 50 36%
Social Sciences 14 10%
Medicine and Dentistry 10 7%
Nursing and Health Professions 5 4%
Engineering 5 4%
Other 14 10%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 07 July 2022.
All research outputs
#1,374,924
of 25,893,933 outputs
Outputs from Frontiers in Psychology
#2,874
of 34,856 outputs
Outputs of similar age
#17,223
of 277,148 outputs
Outputs of similar age from Frontiers in Psychology
#59
of 558 outputs
Altmetric has tracked 25,893,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 91% 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 277,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 558 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.