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Identifying mood disorders and health-related quality of life of individuals submitted to mandatory military service

Published online by Cambridge University Press:  24 September 2020

Claudio Andre Barbosa de Lira Open the ORCID record for Claudio Andre Barbosa de Lira [Opens in a new window] ,
Naiane Silva Morais Open the ORCID record for Naiane Silva Morais [Opens in a new window] ,
Vanessa Assis Menezes ,
Marília Santos Andrade ,
Rodrigo Luiz Vancini ,
Allison Gustavo Braz  and
Taís Malysz
Claudio Andre Barbosa de Lira*
Affiliation:
Faculty of Physical Education and Dance, Federal University of Goias, Goiania, GO, Brazil
Naiane Silva Morais
Affiliation:
Faculty of Physical Education and Dance, Federal University of Goias, Goiania, GO, Brazil
Vanessa Assis Menezes
Affiliation:
Faculty of Psychology, Federal University of Jatai, Jatai, GO, Brazil Health Science Department, University Centre Una, Jatai, GO, Brazil
Marília Santos Andrade
Affiliation:
Physiology Department, Federal University of Sao Paulo, Sao Paulo, SP, Brazil
Rodrigo Luiz Vancini
Affiliation:
Physical Education and Sports Centre, Federal University of Espirito Santo, Vitoria, ES, Brazil
Allison Gustavo Braz
Affiliation:
Faculty of Physical Therapy, Federal University of Jatai, Jatai, GO, Brazil
Taís Malysz
Affiliation:
Morphological Sciences Department, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
*
Author for correspondence: Claudio Andre Barbosa de Lira, Email: [email protected]
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Abstract

Objective:

To assess the prevalence of mood disorders in Brazilian soldiers.

Methods:

A total of 353 soldiers answered the following questionnaires: the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Profile of Mood States (POMS), the medical outcomes study SF-36 questionnaire, the Baecke questionnaire to assess the level of habitual physical activity (HPA) and the socioeconomic (SE) status questionnaire. Participants were classified according to their desire to pursue a military career.

Results:

Accordingly, 246 participants were allocated to a volunteer group (VG) and 107 to a non-volunteer group (NVG). According to the BDI data for both groups, 66.5% of the soldiers showed at least mild depressive symptoms. Additionally, the STAI data revealed that 27.8% and 8.4% of the soldiers showed high scores on state anxiety and trait anxiety, respectively. The POMS scores were higher in the NVG compared to the VG (Δ%=+263%, p<0.0001). Of the eight subscales, the SF-36 questionnaire showed statistical differences between the groups in the following five dimensions: functioning capacity (p = 0.0046), pain (p = 0.0011), vitality (p < 0.0001), role limitations due to emotional problems (p < 0.0001) and mental health (p < 0.0001).

Conclusions:

Mood disorder levels were higher and health status and related quality of life levels were lower in the NVG as compared to the VG.

Keywords

anxietydepressionquality of lifemilitary healthmood disorders
Type
Original Article
Information
Acta Neuropsychiatrica , Volume 33 , Issue 1 , February 2021 , pp. 9 - 14
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Copyright
© Scandinavian College of Neuropsychopharmacology 2020

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References

Associação Brasileira de Empresas de Pesquisa (ABEP) (2008) Critério Padrão de Classificação Econômica Brasil. Available at: http://www.abep.org/codigosguias/Criterio_Brasil_2008.pdf (accessed 9 February 2012).Google Scholar
Bachynski, KE, Canham-Chervak, M, Black, SA, Dada, EO, Millikan, AM and Jone, BH (2012) Mental health risk factors for suicides in the US Army, 2007-8. Injury Prevention 18(6), 405–412. doi: 10.1136/injuryprev-2011-040112.CrossRefGoogle ScholarPubMed
Baecke, JA, Burema, J and Frijters, JE (1982) A short questionnaire for the measurement of habitual physical activity in epidemiological studies. The American Journal of Clinical Nutrition 36(5), 936–942. doi: 10.1093/ajcn/36.5.936.CrossRefGoogle Scholar
Beck, AT, Ward, CH, Mendelson, M, Mock, J and Erbaugh, J (1961) An inventory for measuring depression. Archives of General Psychiatry 4, 561–571.CrossRefGoogle ScholarPubMed
Biaggio, AMB, Natalício, L and Spielberger, CD (1977) Desenvolvimento da forma experimental em português do Inventário de Ansiedade Traço-Estado (IDATE)·, de Spielberger A. Arq Bras Psicol Aplic 29(3), 31–44.Google Scholar
Browne, MO, Mora, MEM, Alonso, J, Levinson, D, Iwata, N, Andrade, LH, Posada-Villa, J, Kostyuchenko, S, Hwang, I, Demyttenaere, K, Lépine, J-P, Bromet, E, Kaur, J, Williams, DR, Viana, MC, Karam, AN, de Girolamo, G, Matschinger, H, de Graaf, R, Sampson, NA, Kessler, RC and Hu, C (2011)Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine 9(1). doi: 10.1186/1741-7015-9-90.Google Scholar
Ciconelli, RM, Ferraz, MB, Santos, W, Meinão, I and Quaresma, MR (1999) Tradução para a língua portuguesa e validação do questionário genério de avaliação de qualidade de vida SF-36 (Brasil SF-36). Revista Brasileira de Reumatologia 39(3), 143–150.Google Scholar
Dalton, SO, Laursen, TM, Ross, L, Mortensen, PB and Johansen, C (2009) Risk for hospitalization with depression after a cancer diagnosis: A nationwide, population-based study of cancer patients in Denmark from 1973 to 2003. Journal of Clinical Oncology 27(9), 1440–1445. doi: 10.1200/JCO.2008.20.5526.CrossRefGoogle ScholarPubMed
de Lima, C, de Lira, CAB, Arida, RM, Andersen, ML, Matos, G, de Figueiredo Ferreira Guilhoto, LM, Yacubian, EMT, de Albuquerque, M, Tufik, S, dos Santos Andrade, M and Vancini, RL (2013) Association between leisure time, physical activity, and mood disorder levels in individuals with epilepsy. Epilepsy and Behavior 28(1), 47–51. doi: 10.1016/j.yebeh.2013.03.016.CrossRefGoogle ScholarPubMed
Florindo, AA, Dias de Oliveira Latorre, M do R, Constante Jaime, P, Tanaka, T and de Freitas Zerbini, CA (2004) Metodologia para a avaliação da atividade física habitual em homens com 50 anos ou mais. Revista de Saude Publica 38(2), 307–314.CrossRefGoogle Scholar
Gomes-Oliveira, MH, Gorenstein, C, Neto, FL, Andrade, LH and Wang, YP (2012) Validation of the Brazilian Portuguese Version of the Beck Depression Inventory-II in a community sample. Revista Brasileira de Psiquiatria 34(4), 389–394. doi: 10.1016/j.rbp.2012.03.005.CrossRefGoogle Scholar
Gorenstein, C and Andrade, L (1996) Validation of a Portuguese version of the Beck Depression Inventory and the State-Trait Anxiety Inventory in Brazilian subjects. Brazilian Journal of Medical and BiologicalRresearch = Revista brasileira de pesquisas medicas e biologicas 29(4), 453–7. Available at http://www.ncbi.nlm.nih.gov/pubmed/8736107.Google ScholarPubMed
Härter, M, Baumeister, H, Reuter, K., Jacobi, F, Höfler, M, Bengel, J and Wittchen, HU (2007) Increased 12-month prevalence rates of mental disorders in patients with chronic somatic diseases. Psychotherapy and Psychosomatics 76(6), 354–360. doi: 10.1159/000107563.CrossRefGoogle ScholarPubMed
Ibrahim, AK, Kelly, SJ, Adams, CE and Glazebrook, C (2013) A systematic review of studies of depression prevalence in university students. Journal of Psychiatric Research. Elsevier Ltd 47(3), 391–400. doi: 10.1016/j.jpsychires.2012.11.015.CrossRefGoogle ScholarPubMed
Jenkinson, C, Wright, L and Coulter, A (1994) Criterion validity and reliability of the SF-36 in a population sample. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation 3(1), 7–12.CrossRefGoogle Scholar
Kessler, RC, McGonagle, AK, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, HU and Kendler, KS (1994) Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry 51(1), 8–19.CrossRefGoogle ScholarPubMed
Knight, RG, Waal-Manning, HJ and Spears, GF (1983) Some norms and reliability data for the State-Trait Anxiety Inventory and the Zung Self-Rating Depression scale. British Journal of Clinical Psychology 22(4), 245–249. doi: 10.1111/j.2044-8260.1983.tb00610.x.CrossRefGoogle ScholarPubMed
Leal, JA (2008) Serviço Militar Obrigatório: A Alternativa Adequada, Coleção Meira Mattos: revista das ciências militares (17), 4–9.Google Scholar
Mahmoud, JSR, Staten, RT, Hall, LA and Lennie, TA (2012) The relationship among young adult college students’ depression, anxiety, stress, demographics, life satisfaction, and coping styles. Issues in Mental Health Nursing 33(3), 149–156. doi: 10.3109/01612840.2011.632708.CrossRefGoogle ScholarPubMed
McNair, DM, Lorr, M and Droppleman, LF (1971) Manual for the Profile of Mood States. San Diego, CA: Educational and Industrial Testing Services.Google Scholar
Minayo, MC de S, Assis, SG de and Oliveira, RVC de (2011) Impacto das atividades profissionais na saúde física e mental dos policiais civis e militares do Rio de Janeiro (RJ, Brasil). Ciência & Saúde Coletiva 16(4), 2199–2209. doi: 10.1590/S1413-81232011000400019.CrossRefGoogle Scholar
Morfeld, M, Petersen, C, Krüger-Bödeker, A, von Mackensen, S and Bullinger, M (2007) The assessment of mood at workplace - psychometric analyses of the revised Profile of Mood States (POMS) questionnaire. Psycho-Social Medicine 4, Doc06. Available at http://www.ncbi.nlm.nih.gov/pubmed/19742299%0Ahttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC2736534.Google ScholarPubMed
Morgan, WP, Costill, DL, Flynn, MG, Raglin, JS and O’Connor, PJ (1988) Mood disturbance following increased training in swimmers. Medicine and Science in Sports and Exercise 20(4), 408–14. Available at http://www.ncbi.nlm.nih.gov/pubmed/3173050.CrossRefGoogle ScholarPubMed
Naicker, K, Johnson, JA, Skogen, JC, Manuel, D, Øverland, S, Sivertsen, B and Colman, I (2017) Type 2 diabetes and comorbid symptoms of depression and anxiety: Longitudinal associations with mortality risk. Diabetes Care 40(3), 352–358. doi: 10.2337/dc16-2018.CrossRefGoogle ScholarPubMed
Peluso, MAM (2003) Alterações de humor associadas a atividade física intensa. Universidade de São Paulo. doi: 10.11606/T.5.2003.tde-19012004-120601.CrossRefGoogle Scholar
Reinherz, HZ, Paradis, AD, Giaconia, RM, Stashwick, CK and Fitzmaurice, G (2003) Childhood and adolescent predictors of major depression in the transition to adulthood. American Journal of Psychiatry 160(12), 2141–2147. doi: 10.1176/appi.ajp.160.12.2141.CrossRefGoogle ScholarPubMed
Spielberger, C, Gorsuch, R and Lushene, R (1970) Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Storch, EA, Roberti, JW and Roth, DA (2004) Factor structure, concurrent validity, and internal consistency of the beck depression inventory? second edition in a sample of college students. Depression and Anxiety 19(3), 187–189. doi: 10.1002/da.20002.CrossRefGoogle Scholar
Vancini, RL, de Lira, CAB, Anceschi, SA, Rosa, AV, Lima-Leopoldo, AP, Leopoldo, AS, Rufo-Tavares, W, Andrade, MS, Nikolaidis, PT, Rosemann, T and Knechtle, B (2018) Anxiety, depression symptoms, and physical activity levels of eutrophic and excess-weight brazilian elite police officers: A preliminary study. Psychology Research and Behavior Management 11, 589–595. doi: 10.2147/PRBM.S186128.CrossRefGoogle ScholarPubMed
Vancini, RL, de Lira, CAB, Andrade, M dos S, Lima, C de and Arida, RM (2015) Low levels of maximal aerobic power impair the profile of mood state in individuals with temporal lobe epilepsy. Arquivos de Neuro-Psiquiatria 73(1), 7–11. doi: 10.1590/0004-282X20140188.CrossRefGoogle Scholar
Vidigal-Lopes, M, Prado, V de GR, Prado, L de GR, Bicalho, ICS, Souza, LC de, Gomez, RS and Teixeira, AL (2017) Depression and anxiety in a case series of amyotrophic lateral sclerosis: frequency and association with clinical features. Einstein (São Paulo) 15(1), 58–60. doi: 10.1590/s1679-45082017ao3870.Google Scholar
Wang, Y-P and Gorenstein, C (2013) Psychometric properties of the Beck Depression Inventory-II: A comprehensive review. Revista Brasileira de Psiquiatria 35(4), 416–431. doi: 10.1590/1516-4446-2012-1048.CrossRefGoogle ScholarPubMed
Ware, JE, Kosinski, M, Keller, S (1994) SF-36 Physical and Mental Health Summary Scales: A User’s Manual. (January 1993).Google Scholar
World Health Organization (WHO) (2011) Global burden of mental disorders and the need for a comprehensive, coordinated response from health and social sectors at the country level, Executive Board 130th Session Eb130/9, (December 1st), pp. 1–6.Google Scholar
World Health Organization (WHO) (2013) Investing in Mental Health: Evidence for Action. Geneva: World Health Organization.Google Scholar
World Health Organization (WHO) (2017) Depression and Other Common Mental Disorders: Global Health Estimates, Institutes Health of National. doi: CC BY-NC-SA 3.0 IGO.Google Scholar
Zivin, K, Eisenberg, D, Gollust, SE and Golberstein, E (2009) Persistence of mental health problems and needs in a college student population. Journal of Affective Disorders. Elsevier B.V. 117(3), 180–185. doi: 10.1016/j.jad.2009.01.001.CrossRefGoogle Scholar