Previous studies explored the relations between preference for intense music (i.e., alternative, heavy metal, punk, and rock) and mental health. However, the results so far are inconclusive and do not assess if a preference for intense music directly or indirectly predicts mental health. To address this issue, the present research assessed the mediational role of positive and negative affect on the relation between preference for intense music and mental health. We hypothesized that preference for intense music predicts positive and negative affect, which, in turn, contributes to lower levels of mental health (i.e., stress, depression, and anxiety). Participants were 268 individuals (Mage = 26.6; SDage = 8.30; 63.4% women). Supporting our hypothesis, preference for intense music directly predicted positive and negative affect, and indirectly mental health. Most of these relations remained significant even after controlling for important confounding effects, such as age, gender, and neuroticism. Alternative models were examined, but the hypothesized model presented a better fit. Overall, our research indicates that intense music plays an important role in people’s affects and mental health.
BoerD. (2009). Music makes the people come together: Social functions of music listening for young people across cultures (Unpublished doctoral dissertation). Victoria University of Wellington, New Zealand.
2.
BrownT. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
3.
CarlsonE.SaarikallioS.ToiviainenP.BogertB.KliuchkoM.BratticoE. (2015). Maladaptive and adaptive emotion regulation through music: A behavioral and neuroimaging study of males and females. Frontiers in Human Neuroscience, 9, Article 466. doi:10.3389/fnhum.2015.00466
4.
ClarkL. A.WatsonD. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316–336. doi:10.1037/0021-843X.100.3.316
5.
DienerE. D.EmmonsR. A.LarsenR. J.GriffinS. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71–75. doi:10.1207/s15327752jpa4901_13
6.
GouveiaV. V.RibeiroM. G. C.LouretoG. D. L.Silva NetaO. F. D.GouveiaR. S.VilarR.FreireS. E. D. A. (2019). Scale of Positive and Negative Affects (EAPN-10): Evidence of its psychometric adequacy. Trends in Psychology, 27(1), 189–203. doi:10.9788/tp2019.1-14
7.
HerreraL.QuadrosJ. S.LorenzoO. (2018). Music preferences and personality in Brazilians. Frontiers in Psychology, 9, Article 1488. doi:10.3389/fpsyg.2018.01488
8.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
9.
JohnO. P.DonahueE. M.KentleR. L. (1991). The Big Five Inventory (Versions 4a and 54). Berkeley: Institute of Personality and Social Research, University of California, Berkeley.
10.
KlineR. B. (2015). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press.
11.
LoniganC. J.PhillipsB. M.HooeE. S. (2003). Relations of positive and negative affectivity to anxiety and depression in children: Evidence from a latent variable longitudinal study. Journal of Consulting and Clinical Psychology, 71, 465–481. doi:10.1037/0022-006X.71.3.465
12.
LovibondP. F.LovibondS. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33, 335–343. doi:10.1016/0005-7967(94)00075-U
13.
LozonJ.BensimonM. (2014). Music misuse: A review of the personal and collective roles of “problem music.”Aggression and Violent Behavior, 19(3), 207–218. doi:10.1016/j.avb.2014.04.003
14.
LundqvistL. O.CarlssonF.HilmerssonP.JuslinP. N. (2009). Emotional responses to music: Experience, expression, and physiology. Psychology of Music, 37, 61–90. doi:10.1177/0305735607086048
15.
MartinG.ClarkeM.PearceC. (1993). Adolescent suicide: Music preference as an indicator of vulnerability. Journal of the American Academy of Child & Adolescent Psychiatry, 32, 530–535. doi:10.1097/00004583-199305000-00007
16.
MerkleE. C.YouD. (2014). nonnest2: Tests of non-nested models (R package version 0.2) [Computer software manual]. Retrieved from: http://cran.r-project.org/package=nonnest2
MillerK. E.QuigleyB. M. (2012). Sensation-seeking, performance genres and substance use among musicians. Psychology of Music, 40, 389–410. doi:10.1177/0305735610387776
19.
MirandaD.ClaesM. (2007). Musical preferences and depression in adolescence. International Journal of Adolescence and Youth, 13, 285–309. doi:10.1080/02673843.2007.9747981
20.
MirandaD.ClaesM. (2009). Music listening, coping, peer affiliation and depression in adolescence. Psychology of Music, 37, 215–233. doi:10.1177/0305735608097245
21.
MirandaD.GaudreauP.DebrosseR.MorizotJ.KirmayerL. J. (2012). Music listening and mental health: Variations on internalizing psychopathology. In MacDonaldR.KreutzG.MitchellL. (Eds.), Music, health, and wellbeing (pp. 513–529). Oxford, UK: Oxford University Press.
22.
MonteiroR. P.GouveiaV. V. (2019). 12-item version of the Depression Anxiety and Stress Scale (DASS-12). Unpublished manuscript.
23.
NorthA. C.HargreavesD. J.McKendrickJ. (1999). The influence of in-store music on wine selections. Journal of Applied Psychology, 84, 271–276. doi:10.1037/0021-9010.84.2.271
24.
PanwarS.RadP.ChooK. K. R.RoopaeiM. (2019). Are you emotional or depressed? Learning about your emotional state from your music using machine learning. The Journal of Supercomputing, 75, 2986–3009. doi:10.1007/s11227-018-2499-y
25.
PimentelC. E.GouveiaV. V.SantanaN. L. D.ChavesW. A.RodriguesC. A. (2009). Music preference and suicide risk among youths. Jornal Brasileiro de Psiquiatria, 58, 26–31. Retrieved from http://www.scielo.br/pdf/jbpsiq/v58n1/a04v58n1
26.
PimentelC. E.GouveiaV. V.VasconcelosT. C. (2005). Music preference, attitudes, and antisocial behaviors among adolescent students: A correlational study. Estudos de Psicologia, 22, 403–413. Retrieved from https://www.redalyc.org/pdf/3953/395336344008.pdf
27.
PreacherK. J.CoffmanD. L. (2006) Computing power and minimum sample size for RMSEA (Computer software). Retrieved from. http://www.quantpsy.org/rmsea/rmsea.htm
28.
R Core Team. (2014). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org/
29.
RentfrowP. J. (2012). The role of music in everyday life: Current directions in the social psychology of music. Social and Personality Psychology Compass, 6, 402–416. doi:10.1111/j.1751-9004.2012.00434.x
30.
RentfrowP. J.GoldbergL. R.LevitinD. J. (2011). The structure of musical preferences: A five-factor model. Journal of Personality and Social Psychology, 100, 1139–1157. doi: 10.1037/a0022406
31.
Riecher-RösslerA. (2017). Sex and gender differences in mental disorders. The Lancet Psychiatry, 4, 8–9. doi:10.1016/S2215-0366(16)30348-0
32.
RobertsK. R.DimsdaleJ.EastP.FriedmanL. (1998). Adolescent emotional response to music and its relationship to risk-taking behaviors. Journal of Adolescent Health, 23, 49–54. doi:10.1016/S1054-139X(97)00267-X
33.
SchmittD. P.AllikJ.McCraeR. R.Benet-MartinezV. (2007). The geographic distribution of big five personality traits: Patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology, 38, 173–212. doi:10.1177/0022022106297299
34.
SchweizerS.ParkerJ.LeungJ. T.GriffinC.BlakemoreS. J. (2020). Age-related differences in affective control and its association with mental health difficulties. Development and Psychopathology, 32, 329–341. doi:10.1017/S0954579419000099
35.
ShafronG. R.KarnoM. P. (2013). Heavy metal music and emotional dysphoria among listeners. Psychology of Popular Media Culture, 2, 74–85. doi:10.1037/a0031722
36.
SharmanL.DingleG. A. (2015). Extreme metal music and anger processing. Frontiers in Human Neuroscience, 9, Article 272. doi:10.3389/fnhum.2015.00272
37.
ShumanJ.KennedyH.DeWittP.EdelbluteA.WamboldtM. Z. (2016). Group music therapy impacts mood states of adolescents in a psychiatric hospital setting. The Arts in Psychotherapy, 49, 50–56. doi:10.1016/j.aip.2016.05.014
38.
SwaminathanS.SchellenbergE. G. (2015). Current emotion research in music psychology. Emotion Review, 7, 189–197. doi:10.1177/1754073914558282
39.
TillB.TranU. S.VoracekM.NiederkrotenthalerT. (2016). Music and suicidality: A study on associations between music preferences and risk factors of suicide. Omega: Journal of Death and Dying, 72, 340–356. doi:10.1177/0030222815575284
40.
TrappeH. J. (2010). The effects of music on the cardiovascular system and cardiovascular health. Heart, 96, 1868–1871. doi:10.1136/hrt.2010.209858
41.
VuongQ. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57, 307–333. doi:10.2307/1912557
42.
WidigerT. A.OltmannsJ. R. (2017). Neuroticism is a fundamental domain of personality with enormous public health implications. World Psychiatry, 16, 144–145. doi:10.1002/wps.20411
43.
ZanonC.BastianelloM. R.PacicoJ. C.HutzC. S. (2013). Development and validation of a positive and negative affect scale. Psico-USF, 18, 193–201. Retrieved from https://www.redalyc.org/pdf/4010/401036095003.pdf
44.
ZentnerM.GrandjeanD.SchererK. R. (2008). Emotions evoked by the sound of music: Characterization, classification, and measurement. Emotion, 8, 494–451. doi:10.1037/1528-3542.8.4.494
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