Propiedades psicométricas del Índice de Bienestar General en mujeres gestantes colombianas
Psychometric properties of the General Well-being Index in Colombian pregnant women
Propriedades psicométricas do Índice de Bem-Estar Geral em gestantes colombianas
DOI:
https://doi.org/10.15446/av.enferm.v41n2.105068Keywords:
Depresión, Mujeres Embarazadas, Estudio de Validación, Reproducibilidad de los Resultados (es)Depression, Pregnant Women, Validation Study, Reproducibility of Results (en)
Depressão, Gestantes, Estudo de Validação, Reprodutibilidade dos Testes (pt)
Downloads
Objetivo: explorar la estructura y consistencia interna del Índice de Bienestar General de la Organización Mundial de la Salud (WHO-5) en mujeres gestantes del departamento del Magdalena, Colombia.
Materiales y métodos: participaron 200 mujeres entre 14 y 44 años (M = 23,52; DE = 5,93) y período de gestación entre 5 y 39 semanas (M = 21,71; DE =1 0,44); 75,5 % vivía en zona urbana, 91,5 % tenía bajos ingresos económicos, 81 % tenía pareja, 34,5 % había alcanzado el nivel de educación superior y 77,5 % se encontraba sin empleo. Los procedimientos estadísticos se realizaron con el software Jamovi. La consistencia interna se calculó mediante los coeficientes alfa de Cronbach y omega de McDonald, y se aplicó un análisis factorial confirmatorio (AFC) para corroborar la dimensionalidad de la escala.
Resultados: el WHO-5 mostró valores alfa de Cronbach y omega de McDonald de 0,81. El AFC evidenció una estructura de un solo factor con indicadores adecuados de bondad de ajuste (X2 = 17,40, gl = 5, p < 0,004; RMSEA = 0,111 [IC 95 % = 0,057-0,171]; SRMR = 0,037; CFI = 0,961; TLI = 0,921).
Conclusiones: el WHO-5 presenta estructura unifactorial y adecuada consistencia interna para evaluar los síntomas depresivos en mujeres gestantes de Colombia. Es recomendable explorar el desempeño psicométrico del WHO-5 en otros contextos.
Objective: to explore the structure and internal consistency of the General Well-Being Index (WHO-5) in pregnant women in the department of Magdalena, Colombia.
Materials and methods: Two hundred women aged 14-44 (M = 23.52; SD = 5.93) with a gestation period between 5 and 39 weeks (M = 21.71; SD = 10.44) participated of this study; 75.5% lived in urban areas, 91.5% reported low income, 81% had a partner, 34.5% had attained higher education, and 77.5% were unemployed at the time of the study. Statistical procedures were performed using Jamovi software. Internal consistency was calculated using Cronbach’s alpha and McDonald’s Omega coefficients, and a confirmatory factor analysis (CFA) was applied to corroborate the dimensionality of the scale.
Results: The WHO-5 showed Cronbach’s alpha and McDonald’s omega values of 0.81. The CFA reported a single factor structure with adequate goodness-of-fit indicators (X2 = 17.40, gl = 5, p < 0.004; RMSEA = 0.111 [95% CI = 0.057-0.171]; SRMR = 0.037; CFI = 0.961; TLI = 0.921).
Conclusions: The WHO-5 presents a unifactorial structure and adequate internal consistency to assess depressive symptoms among pregnant women in Colombia. It is suggested to explore the psychometric performance of the WBI in other contexts.
Objetivo: explorar a estrutura e a consistência interna do Índice de Bem-Estar Geral da Organização Mundial da Saúde (OMS-5) em gestantes do departamento de Magdalena, Colômbia.
Materiais e métodos: participaram 200 mulheres entre 14 e 44 anos (M = 23,52; DP = 5,93) e gestação entre 5 e 39 semanas (M = 21,71; DP = 10,44); 75,5% residiam na zona urbana, 91,5% tinham baixa renda, 81% tinham um companheiro, 34,5% tinham nível superior completo e 77,5% estavam desempregadas. Os procedimentos estatísticos foram realizados com o software Jamovi. A consistência interna foi calculada por meio dos coeficientes alfa de Cronbach e ômega de McDonald, e uma análise fatorial confirmatória (AFC) foi aplicada para corroborar a dimensionalidade da escala.
Resultados: O OMS-5 apresentou valores de alfa de Cronbach e ômega de McDonald de 0,81. A AFC mostrou uma estrutura de fator único com indicadores adequados de bondade de ajuste (X2 = 17,40, gl = 5, p < 0,004; RMSEA = 0,111 [95% CI = 0,057-0,171]; SRMR = 0,037; CFI = 0,961; TLI = 0,921).
Conclusões: o OMS-5 apresenta uma estrutura unifatorial e consistência interna adequada para avaliar os sintomas depressivos em mulheres grávidas na Colômbia. É recomendável explorar o desempenho psicométrico do OMS-5 em outros contextos.
References
(1) Sartorius N. Depression and diabetes. Dialogues Clin Neurosci. 2018;20(1):47-52. http://doi.org/10.31887/dcns.2018.20.1/nsartorius
(2) Ministerio de Salud y Protección Social. Encuesta Nacional de Salud Mental Tomo 1. Bogotá: Ministerio de Salud y Protección Social; 2015. https://bit.ly/3OfGOOh
(3) Departamento Administrativo Nacional de Estadística (DANE). Salud mental en Colombia: un análisis de los efectos de la pandemia. Bogotá: DANE ; 2021. https://bit.ly/46ZpDb4
(4) Gaynes BN; Lux L; Gartlehner G; Asher G; Forman-Hoffman V; Green J et al. Defining treatment-resistant depression. Depress Anxiety. 2020;37(2):134-145. http://doi.org/10.1002/da.22968
(5) Johnston KM; Powell LC; Anderson IM; Szabo S; Cline S. The burden of treatment-resistant depression: A systematic review of the economic and quality of life literature. J Affect Disord. 2019;242:195-210. http://doi.org/10.1016/j.jad.2018.06.045
(6) De Zwart PL; Jeronimus BF; de Jonge P. Empirical evidence for definitions of episode, remission, recovery, relapse and recurrence in depression: A systematic review. Epidemiol Psychiatr Sci. 2019;28(5):544-562. http://doi.org/10.1017/S2045796018000227
(7) Van Niel MS; Payne JL. Perinatal depression: A review. Cleve Clin J Med. 2020;87(5):273-277. http://doi.org/10.3949/ccjm.87a.19054
(8) Guimarães FJ; Santos FJS; Leite AFB; De Holanda VR; De Sousa GS; Perrelli JGA. Enfermedad mental en mujeres embarazadas. Enferm Glob. 2019;18(1):499-534. http://doi.org/10.6018/eglobal.18.1.328331
(9) Dagher RK; Bruckheim HE; Colpe LJ; Edwards E; White DB. Perinatal depression: Challenges and opportunities. J Women's Health. 2021;30(2):154-159. http://doi.org/10.1089/jwh.2020.8862
(10) O’Connor A; Geraghty S; Doleman G; De Leo A. Suicidal ideation in the perinatal period: A systematic review. Ment Health Prev. 2018;12:67-75. http://doi.org/10.1016/j.mhp.2018.10.002
(11) Gao M; Hu J; Yang L; Ding N; Wei X; Li L et al. Association of sleep quality during pregnancy with stress and depression: A prospective birth cohort study in China. BMC Pregnancy Childbirth. 2019;19:444. http://doi.org/10.1186/s12884-019-2583-1
(12) Effati-Daryani F; Zarei S; Mohammadi A; Hemmati E; Yngyknd SG; Mirghafourvand M. Depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID -19. BMC Psychol. 2020;8:99. http://doi.org/10.1186/s40359-020-00464-8
(13) Vieira ES; Caldeira NT; Eugênio DS; Lucca MM; Silva IA. Breastfeeding self-efficacy and postpartum depression: A cohort study. Rev Lat Am Enfermagem. 2018;26:e3035. http://doi.org/10.1590/1518-8345.2110.3035
(14) Kalmbach DA; Cheng P; Ong JC; Ciesla JA; Kingsberg SA; Sangha R et al. Depression and suicidal ideation in pregnancy: Exploring relationships with insomnia, short sleep, and nocturnal rumination. Sleep Med. 2020;65:62-73. http://doi.org/10.1016/j.sleep.2019.07.010
(15) Martínez-Paredes JF; Jácome-Pérez N. Depression in pregnancy. Rev Colomb Psiquiatr. 2019;48(1):58-65. http://doi.org/10.1016/j.rcpeng.2017.07.002
(16) Vázquez MB; Míguez MC. Validation of the Edinburgh postnatal depression scale as a screening tool for depression in Spanish pregnant women. J Affect Disord. 2019;246:515-521. http://doi.org/10.1016/j.jad.2018.12.075
(17) Cosma A; Költő A; Chzhen Y; Kleszczewska D; Kalman M; Martin G. Measurement invariance of the WHO-5 well-Being Index: Evidence from 15 European countries. Int J Environ Res Public Health. 2022;19(16):9798. http://doi.org/10.3390/ijerph19169798
(18) Organización Mundial de la Salud (OMS). Wellbeing measures in primary health care: care/the DepCare Project: Report on a WHO meeting: Stockholm, Sweden, 12-13 February. WHO Regional Office for Europe; 1998. https://apps.who.int/iris/handle/10665/349766
(19) Topp CW; Østergaard SD; Søndergaard S; Bech P. The WHO-5 Well-Being Index: A systematic review of the literature. Psychother Psychosom. 2015;84(3):167-176. http://doi.org/10.1159/000376585
(20) Downs A; Boucher LA; Campbell DG; Polyakov A. Using the WHO–5 Well-Being Index to identify college students at risk for mental health problems. J Coll Stud Dev. 2017;58(1):113-117. http://doi.org/10.1353/csd.2017.0008
(21) Eser E; Çevik C; Baydur H; Güneş S; Esgin TA; Öztekin ÇS et al. Reliability and validity of the Turkish version of the WHO-5, in adults and older adults for its use in primary care settings. Prim Health Care Res Dev. 2019;20:e100. http://doi.org/10.1017/S1463423619000343
(22) Mortazavi F; Mousavi SA; Chaman R; Khosravi A. Validation of the World Health Organization-5 Well-Being Index; assessment of maternal well-being and its associated factors. Turk Psikiyatri Derg. 2015;26(1):48-55. https://pubmed.ncbi.nlm.nih.gov/25742037/
(23) Do HP; Baker PRA; Van Vo T; Luong-Thanh BY; Nguyen LH; Valdebenito S et al. Brief screening for maternal mental health in Vietnam: Measures of positive wellbeing and perceived stress predict prenatal and postnatal depression. J. Affect. Disord. 2021;3:100047. http://doi.org/10.1016/j.jadr.2020.100047
(24) Mortazavi F; Mehrabadi M; KiaeeTabar R. Pregnant women’s well-being and worry during the COVID -19 pandemic: A cross-sectional study. BMC Pregnancy Childbirth. 2021;21:59. http://doi.org/10.1186/s12884-021-03548-4
(25) Wit L; Jelsma JGM; van Poppel MNM; Bogaerts A; Simmons D; Desoye G et al. Physical activity, depressed mood and pregnancy worries in European obese pregnant women: results from the DALI study. BMC Pregnancy Childbirth. 2015;15:158.
http://doi.org/10.1186/s12884-015-0595-z
(26) Van der Zwan JE; de Vente W; Koot HM; Huizink AC. Validation of the Dutch version of the Pregnancy Experience Scale. Midwifery. 2017;50:16-20. http://doi.org/10.1016/j.midw.2017.03.018
(27) Campo-Arias A; Miranda-Tapia GA; Cogollo Z; Herazo E. Reproducibilidad del Índice de Bienestar General (WHO-5 WBI) en estudiantes adolescentes. Salud Uninorte. 2015;31(1):18-24. http://doi.org/10.14482/sun.31.1.5493
(28) Espitia-Correa JL; Caballero-Domínguez CC; Campo-Arias A. Desempeño psicométrico del Índice de Bienestar General WHO-5 en
adolescentes escolarizados. Tesis Psicol. 2020;15(2):184-196. http://doi.org/10.37511/tesis.v15n2a10
(29) Simancas-Pallares M; Díaz-Cárdenas S; Barbosa-Gómez P; Buendía-Vergara M; Arévalo-Tovar L. Propiedades psicométricas del Índice de Bienestar General-5 de la Organización Mundial de la Salud en pacientes parcialmente edéntulos. Rev Fac Med. 2016;64(4):701-705. http://doi.org/10.15446/revfacmed.v64n4.52235
(30) Wacholder S; Armstrong B; Hartge P. Validation studies using an alloyed gold standard. Am J Epidemiol. 1993;137(11):1251-1258. http://doi.org/10.1093/oxfordjournals.aje.a116627
(31) Clark LA; Watson D. Constructing validity: Basic issues in objective scale development. In: Kazdin AE (ed). Methodological issues and
strategies in clinical research (4th ed). Washington: American Psychological Association; 2016. p. 187-203. https://doi.org/10.1037/14805-012
(32) Kline P. A handbook of test construction: Introduction to psychometric design. New York: Methuen; 1986.
(33) Markham A; Buchanan E. Research ethics in context: Decision-making in digital research. In: Schäfer MT; van Es K (eds.). The Datafied Society: Studying culture through data. Amsterdam: Amsterdam University Press; 2017. p. 201-209. http://doi.org/10.25969/MEDIAREP/12445
(34) Goodman LA. Kolmogorov-Smirnov tests for psychological research. Psychol Bull. 1954;51(2):160-168. http://doi.org/10.1037/h0060275
(35) Mann HB; Whitney DR. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Statist. 1947;18(1):50-60. https://doi.org/10.1214/aoms/1177730491
(36) Kruskal WH; Wallis WA. Use of ranks in one-criterion variance analysis. J Am Stat Assoc. 1952;47(260):583-621. http://doi.org/10.1080/01621459.1952.10483441
(37) Mishra P; Pandey C; Singh U; Gupta A; Sahu C; Keshri A. Descriptive statistics and normality tests for statistical data. Ann Card Anaesth. 2019;22(1):67-72. http://doi.org/10.4103/aca.aca_157_18
(38) Tavakol M; Wetzel A. Factor Analysis: A means for theory and instrument development in support of construct validity. Int J Med Educ. 2020;11:245–247. http://doi.org/10.5116/ijme.5f96.0f4a
(39) Schreiber JB. Issues and recommendations for exploratory factor analysis and principal component analysis. Res Social Adm Pharm. 2021;17(5):1004-1011. http://doi.org/10.1016/j.sapharm.2020.07.027
(40) Hair J; Anderson R; Tatham R; Black W. Análisis Multivariante. Madrid: Prentice-Hall; 1999.
(41) Bartlett MS. Tests of significance in factor analysis. Br J Stat Psychol. 1950;3(2):77-85. http://doi.org/10.1111/j.2044-8317.1950.tb00285.x
(42) Kaiser HF. An index of factorial simplicity. Psychometrika. 1974;39:31-36. http://doi.org/10.1007/bf02291575
(43) Williams B; Onsman A; Brown T. Exploratory factor analysis: A five-step guide for novices. Australas J Paramed. 2010;8:1-13. http://doi.org/10.33151/ajp.8.3.93
(44) Hu L; Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.
Struct Equ Modeling. 1999;6(1):1-55. http://doi.org/10.1080/10705519909540118
(45) Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297-334. http://doi.org/10.1007/bf02310555
(46) McDonald RP. The theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis. Br J Math Stat Psychol. 1970;23(1):1-21. http://doi.org/10.1111/j.2044-8317.1970.tb00432.x
(47) Taber KS. The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48:1273-1296. http://doi.org/10.1007/s11165-016-9602-2
(48) Hayes AF; Coutts JJ. Use omega rather than Cronbach’s alpha for estimating reliability. But Commun Methods Meas. 2020;14(1):1-24. http://doi.org/10.1080/19312458.2020.1718629
(49) The JAMOVI Project. JAMOVI . (Version 2.3) [Computer Software]; 2022. https://www.jamovi.org
(50) World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA. 2013;310(20):2191-2194. https://doi.org/10.1001/jama.2013.281053
(51) Ministerio de Salud y Protección Social de la República de Colombia. Resolución 8430 de 1993; (Oct. 4, 1993). https://bit.ly/46KxusT
(52) Bonniga R; Saraswathi AB. Literature review of Cronbach alpha coefficient and McDonald’s Omega Coefficient. Eur. J. Mol. Clin. Med. 2020;7(6):2943-2949. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4443362
(53) Goodboy AK; Martin MM. Omega over alpha for reliability estimation of unidimensional communication measures. Ann Int Commun Assoc. 2020;44(4):422-439. http://doi.org/10.1080/23808985.2020.1846135
(54) Marsh HW; Hau KT; Wen Z. In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Struct Equ Modeling. 2004;11(3):320-341. http://doi.org/10.1207/s15328007sem1103_2
(55) Yanikkerem E; Ay S; Piro N. Planned and unplanned pregnancy: Effects on health practice and depression during pregnancy. J Obstet Gynaecol Res. 2013;39(1):180-187. http://doi.org/10.1111/j.1447-0756.2012.01958.x
(56) Karaçam Z; Önel K; Gerçek E. Effects of unplanned pregnancy on maternal health in Turkey. Midwifery. 2011;27(2):288-293. http://doi.org/10.1016/j.midw.2009.07.006
(57) Gray JB. The social support process in unplanned pregnancy. J Commun Health. 2014;7(2):137-146. http://doi.org/10.1179/1753807614y.0000000054
(58) Knekta E; Runyon C; Eddy S. One size doesn’t fit all: Using factor analysis to gather validity evidence when using surveys in your research. CBE Life Sci Educ. 2019;18(1):1-17. http://doi.org/10.1187/cbe.18-04-0064
(59) Bliese PD; Maltarich MA; Hendricks JL; Hofmann DA; Adler AB. Improving the measurement of group-level constructs by optimizing between-group differentiation. J Appl Psychol. 2019;104(2):293-302. http://doi.org/10.1037/apl0000349
(60) Kyriazos TA. Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology. 2018;9(8):2207-2230. http://doi.org/10.4236/psych.2018.98126
Dimensions
PlumX
Article abstract page views
Downloads
How to Cite
License
Copyright (c) 2023 Yeison David Gallo-Barrera , Laura Vanessa Fuentes Vanegas, Ediltrudis Ramos-De La Cruz

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published by Avances en Enfermería are licensed under the Creative Commons Attribution 4.0 International License. From 2020, articles are published under the Creative Commons CC-BY-NC license, which allows anyone to copy, redistribute, remix, transmit, and adapt the work for non-commercial purposes. Before 2020, articles were published under the Creative Commons CC-BY license.


















