Detection of mental distress cases is essential in clinical practice, especially in primary care. Screening instruments could be useful and effective tools to help identify them. This study sought to evaluate the utility and capability of the Mental Health Inventory (MHI)-38 and MHI-5 in identifying cases suffering from mental distress from those who do not. The validity and accuracy of these MHI versions were tested using as gold standards: two samples of adults, one with clinical complaints (n = 33) and another without clinical complaints (n = 31); and the scores in Scales of Psychological Well-Being and in a psychopathology inventory (Minnesota Multiphasic Personality Inventory 2). Receiver operating characteristic curves were used to define cutpoints, which is the Youden’s index for the optimization criteria. The data analysis indicated an optimal cutpoint of 7.19 for MHI-38TOTAL and of 53 (recoded to a 0–100 scale) for MHI-5TOTAL to differentiate clinical cases from those who are not. These results indicate cutpoint values similar to those of previous studies in the case of MHI-5 and provide useful reference values for MHI-38. The need to replicate this study with larger samples and with controlled clinical conditions and type of pathology is also discussed.
BeukelT. O.SiegertC. E.DijkS.Ter WeeP. M.DekkerF. W.HonigA. (2012).
Comparison of the SF-36 Five-Item Mental Health Inventory and Beck Depression Inventory for the screening of depressive symptoms in chronic dialysis patients. Nephrology Dialysis Transplantation,
27, 4453–4457. doi:10.1093/ndt/gfs341
2.
BorusJ. F.HowesM. J.DevinsN. P.RosenbergR.LivingstonW. W. (1988).
Primary health care providers' recognition and diagnosis of mental disorders in their patients. General Hospital Psychiatry,
10, 317–321. doi:10.1016/0163-8343(88)90002-3
3.
BrundtlandG. H. (2000).
Mental health in the 21st century. Bulletin of the World Health Organization,
78, 411–411. Retrieved from http://www.who.int/iris/handle/10665/57388
4.
ButcherJ.DahlstromW. G.GrahamJ.TellegenA.KaemmerB. (1989). MMPI-2: Manual for Administration and Scoring.
Minneapolis, MN:
University of Minnesota Press.
5.
CaspiA.HoutsR. M.BelskyD. W.Goldman-MellorS. J.HarringtonH.Israel, MoffittT. E. (2014).
The p factor: One general psychopathology factor in the structure of psychiatric disorders?Clinical Psychological Science,
2, 119–137. doi:10.1177/2167702613497473
6.
FlorianV.DroryY. (1990).
Mental Health Inventory (MHI) – Psychometric properties and normative data in the Israeli population. Psychologia—Israel Journal of Psychology,
2, 26–36.
7.
GrahamJ. R. (2012). MMPI-2: Assessing personality and psychopathology (5th ed.).
New York, NY:
Oxford University Press.
8.
HeubeckB. G.NeillJ. T. (2000).
Confirmatory factor analysis and reliability of the Mental Health Inventory for Australian adolescents. Psychological Reports,
87, 431–440. doi:10.2466/PR0.87.6.431-440
9.
HolmesW. C. (1998).
A short, psychiatric, case-finding measure for HIV seropositive outpatients: Performance characteristics of the 5-item mental health subscale of the SF-20 in a male, seropositive sample. Medical Care,
36, 237–243. doi:10.1097/00005650-199802000-00012
10.
KellyM. J.DunstanF. D.LloydK.FoneD. L. (2008).
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: A comparison of five different methods. BMC Psychiatry,
8, 10. doi:10.1186/1471-244X-8-10
11.
KotovR.KruegerR. F.WatsonD.AchenbachT. M.AlthoffR. R.BagbyR. M., …ZimmermanM. (2017).
The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology,
126, 454. doi:10.1037/abn0000258
12.
Means-ChristensenA. J.ArnauR. C.TonidandelA. M.BramsonR.MeagherM. W. (2005).
An efficient method of identifying major depression and panic disorder in primary care. Journal of Behavioral Medicine,
28, 565–572. doi:10.1007/s10865-005-9023-6
13.
Novo, R. F. (2003). Para além da eudaimonia: O Bem-Estar Psicológico em mulheres na idade adulta avançada [Behond Eudaimonia: The Psychological Well-Being in women in advanced adulthood]. Lisboa, Portugal: Centro de Investigação em Psicologia, Universidade de Lisboa.
14.
Novo, R. (2004, September). O Bem-Estar subjetivo no contexto da saũde mental em adultos e idosos. [The subjective well-being in the context of mental health in adults and the elderly]. II Congresso Hispano-Português de Psicologia, Faculdade de Psicologia e de Ciências da Educação de Lisboa, Lisboa, Portugal.
15.
OstroffJ. S.WoolvertonK. S.BerryC.LeskoL. M. (1996).
Use of the Mental Health Inventory with adolescents: A secondary analysis of the Rand Health Insurance Study. Psychological Assessment,
8, 105–107. doi:10.1037/1040-3590.8.1.105
16.
RosenthalR. H.AkiskalH. S. (1985). Mental status examination. In HersenM.TurnerS. (Eds.), Diagnostic interviewing (pp. 25–52).
Boston, MA:
Springer. doi:10.1007/978-1-4615-6826-1_2
17.
RumpfH. J.MeyerC.HapkeU.JohnU. (2001).
Screening for mental health: Validity of the MHI-5 using DSM-IV Axis I psychiatric disorders as gold standard. Psychiatry Research,
105, 243–253. doi:10.1016/S0165-1781(01)00329-8
18.
RyffC. D. (1989).
Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology,
57, 1069. doi:10.1037/0022-3514.57.6.1069
19.
Silva, M. & Novo, R. (2002). Inventário de Saúde Mental: Adaptação portuguesa para adultos de idade avançada [Mental Health Inventory: Portuguese adaptation for elderly]. Lisboa, Portugal: Centro de Investigação em Psicologia, Universidade de Lisboa.
20.
Silva, D., Novo, R., Prazeres, N., & Pires, R. (2006). Inventário Multifásico da Personalidade-2: Versão Experimental Portuguesa [Minnesota Multiphasic Personality Inventory-2: Portuguese adaptation]. Lisboa, Portugal: Centro de Investigação em Psicologia, Universidade de Lisboa.
21.
ŠimundićA. M. (2009).
Measures of diagnostic accuracy: Basic definitions. EJIFCC,
19, 203.
22.
StewartA. L.HaysR. D.WareJ. E. (1988).
The MOS short-form general health survey: Reliability and validity in a patient population. Medical Care,
26, 724–735. doi:10.1097/00005650-198807000-00007
23.
ThorsenS. V.RuguliesR.HjarsbechP. U.BjornerJ. B. (2013).
The predictive value of mental health for long-term sickness absence: The Major Depression Inventory (MDI) and the Mental Health Inventory (MHI-5) compared. BMC Medical Research Methodology,
13, 115. doi:10.1186/1471-2288-13-115
24.
VaingankarJ. A.SubramaniamM.AbdinE.PiccoL.ChuaB. Y.EngG. K.ChongS. A. (2014).
Development, validity and reliability of the short multidimensional positive mental health instrument. Quality of Life Research,
23, 1459–1477. doi:10.1007/s11136-013-0589-0
25.
VeitC. T.WareJ. E. (1983).
The structure of psychological distress and well-being in general populations. Journal of Consulting and Clinical Psychology,
51, 730. doi:10.1037/0022-006X.51.5.730
26.
Von KorffM.OrmelJ.KatonW.LinE. H. (1992).
Disability and depression among high utilizers of health care: A longitudinal analysis. Archives of General Psychiatry,
49, 91–100. doi:10.1001/archpsyc.1992.01820020011002
27.
WareJ. E.Jr.GandekB. (1994).
The SF-36 Health Survey: Development and use in mental health research and the IQOLA Project. International Journal of Mental Health,
23, 49–73. doi:10.1080/00207411.1994.11449283
28.
WareJ. E.Jr.SherbourneC. D. (1992).
The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 473–483. Retrieved from http://www.jstor.org/stable/3765916
29.
World Health Organization. (2001). The World Health Report 2001: Mental health: New understanding, new hope.
Geneva, Switzerland:
Author.
30.
World Health Organization. (2005). Promoting mental health: Concepts, emerging evidence, practice.
Geneva, Switzerland:
Author.
31.
XavierM.BaptistaH.MendesJ. M.MagalhãesP.Caldas-de-AlmeidaJ. M. (2013).
Implementing the World Mental Health Survey Initiative in Portugal–rationale, design and fieldwork procedures. International Journal of Mental Health Systems,
7(1), 19. doi:10.1186/1752-4458-7-19
