Utilidad de menopause rating scale (mrs) en indígenas colombianas en climaterio

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Publicado: ene. 1, 2017
DOI: https://doi.org/10.21676/2389783X.1737
Palabras clave:
Menopausia, Salud de Poblaciones Indígenas, Climaterio, Calidad de vida

Contenido principal del artículo

Álvaro Monterrosa-Castro
Universidad de Cartagena
Ángel José Paternina-Caicedo
Universidad de Cartagena
Edwin Herazo-Acevedo
Human Behavioral Research Institute
Heidi Celina Oviedo-Acevedo
Human Behavioral Research Institute
Adalberto Campo Arias
Universidad del Magdalena

Resumen

La Menopause Rating Scale (MRS) se compone teóricamente de tres dimensiones que evalúan síntomas somáticos, emocionales y urogenitales relacionados con la menopausia. La utilidad de las escalas varía según las características poblacionales y no se cuenta con investigaciones que corroboren estas dimensiones en población indígena. El objetivo fue evaluar la utilidad de las dimensiones y confiabilidad de MRS en indígenas colombianas. Se realizó análisis del patrón de respuesta de MRS en 914 mujeres indígenas, 507 posmenopáusicas y 407 premenopáusicas, entre 40-60 años, media 50,3 años (DE=5,9). Se estimó alfa de Cronbach para las dimensiones originales y para las que emergieron en el análisis factorial mediante el método de máxima verosimilitud y rotación oblicua promax. MRS mostró alfa de Cronbach: 0,86; la dimensión somática 0,63, la psicológica 0,75 y la urogenital 0,84. La puntuación fue significativamente superior en posmenopáusicas que premenopausia 14,4 (DE=6,4) vs. 8,4 (DE=5,9) p<0,001. El análisis de factores identificó dos factores; el primero que dio cuenta del 39,9% de la varianza (ítem 1,7,8,9,10,11) y el segundo del 14,2% (ítem 2,3,4,5,6). La primera dimensión tuvo alfa de Cronbach 0,86; y la segunda 0,81. MRS presentó alta consistencia interna, adecuada validez nomológica y dos dimensiones. Es necesario corroborar el desempeño de los instrumentos en diferentes poblaciones.

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Cómo citar
Monterrosa-Castro, Álvaro, Paternina-Caicedo, Ángel J., Herazo-Acevedo, E., Oviedo-Acevedo, H. C., & Campo Arias, A. (2017). Utilidad de menopause rating scale (mrs) en indígenas colombianas en climaterio. Duazary, 14(1), 8–15. https://doi.org/10.21676/2389783X.1737
Número
Vol. 14 Núm. 1 (2017): (enero - junio)
Sección
Artículo de investigación científica y tecnológica

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Biografía del autor/a

Álvaro Monterrosa-Castro, Universidad de Cartagena

MD

Ángel José Paternina-Caicedo, Universidad de Cartagena

MD, M.Sc.

Edwin Herazo-Acevedo, Human Behavioral Research Institute

MD, M.Sc, PhD

Heidi Celina Oviedo-Acevedo, Human Behavioral Research Institute

MD, M.Sc

Adalberto Campo Arias, Universidad del Magdalena

MD, M.Sc

Citas

Downing SM, Haladyna TM. Test item development: Validity evidence from quality assurance procedures. Applied Measurement in Education 1997;10(1):61-82.

Worthington RD, Whittaker TA. Scale development research. A content analysis and recommendations for best practices. Counseling Psychology 2006; 34(6): 806-838.

Roberts P, Priest H, Traynor M. Reliability and validity in research. Nursing Standard 2006;20 (44):41-45.

Cook DA, Beckman TJ. Current concepts in validity and reliability for psychometric instruments: Theory and application. American Journal of Medicine 2006;119(2):166.e7-166.e16.

Hulley SB, Cummings SR. Planning the measurement: precision and accuracy. In: Hulley SB, Cummings SR. Designing clinical research. An epidemiologic approach. Baltimore: Williams & Wilkins; 2001. p. 31-41.

Myers K, Winters N. Ten-year review of rating scales. I: Overview of scale functioning, psychometric properties, and selection. J Am Acad Child Adolesc Psychiatry. 2002;41(2):114-22

Reise SP, Waller NG, Comrey AL. Factor analysis and scale revision. Psychological Assessment 2000;12(3):287-297.

Streiner DL. Figuring out factors: the use and misuse of factor analysis. Can J Psychiatry 1994;39(3):135-140.

Adcock R, Collier D. Measurement validity: A shared standard for qualitative and quantitative research. American Political Science Review 2001;95(3):529-546.

Cronbach J. Coefficient alpha and the internal structure of test. Psychometrika 1951;16(3): 297-334.

Blacker D, Endicott J. Psychometric properties: concepts of reliability and validity. In: Handbook of psychiatric measures. Washington: American Psychiatric Association; 2002. p. 7-14.

Pearson K. Determination of the coefficient of correlation. Science 1909; 30(1): 23-25.

Spearman C. Correlation calculated from faulty data. British Journal of Psychology 1910; 3(3): 271-295.

Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin 1979;86:420-428.

Hauser GA, Huber IC, Keller PJ, Lauritzen C, Schneider HPG. Evaluation der klimakterischen beschwerden (menopause rating scale MRS). Zentralblatt für Gynäkologie 1994;116:16-23.

Schneider HPG, Hauser GA. The menopause rating scale (MRS II) - clusters of menopausal symptoms. Maturitas 1997;27(Suppl. 1):201-206.

Heinemann K, Ruebig A, Potthoff P, Schneider HPG, Heinamann LAJ, Thai DM. The Menopause Rating Scale (MRS) scale: a methodological review. Health and Quality of Life Outcome 2004;2:45-47.

Metintas S, Arýkan I, Kalyoncu C, Ozalps J. Menopause Rating Scale as a screening tool in rural Turkey. Rural and Remote Health 2010;10:1-11.

Rubio-Stipec M, Hicks MHR, Tsuang MT. Cultural factors influencing the selection, use, and interpretation of psychiatric measures. In: Handbook of psychiatric measures. Washington: American Psychiatric Association; 2002. p. 33-41.

Clark MJ. Cross-cultural research: Challenge and competence. International Journal of Nursing Practice 2012; 18 (Suppl. 2):28-37.

Chedraui P, Aguirre WC, Hidalgo L, Fayad L. Assessing menopausal symptoms among healthy middle aged women with the Menopause Rating Scale. Maturitas 2007; 57(3): 271-278.

Alwi SARS, Awi PYL, Mallik PS, Haizal MNM. The menopausal experience among indigenous women of Sarawak, Malaysia. Climateric 2009;12(6):548-556.

López F, Soares DR, d’Andretta AC. Calidad de vida de mujeres en fase de transición menopáusica evaluado por la Menopause Rating Scale (MRS). Revista Chilena de Obstetricia y Ginecología 2010;75(4): 375-382.

Chuni N, Chandrashekhar T, Sreeramareddy T. Frequency of symptoms, determinants of severe symptoms, validity of and cut-off score for Menopause Rating Scale (MRS) as a screening tool: A cross-sectional survey among midlife Nepalese women. BMC Women’s Health 2011;11:30.

Legorreta D, Montaño JA, Hernández I, Salinas C, Hernández-Bueno JA, on the behalf of AMEC Research Committee. Age at menopause, motives for consultation and symptoms reported by 40–59-year-old Mexican women. Climateric 2013;16(4):417-425.

Kakkar V, Kaur D, Chopra K, Kaur A, Kaur IP. Assessment of the variation in menopausal symptoms with age, education and working/non-working status in north-Indian sub population using menopause rating scale (MRS). Maturitas 2007;57(3):306-314.

Lawton BA, Rose SB, Cormack DM, Stanley J, Dowell AC. The menopause symptom profile of Maori and non-Maori women in New Zealand. Climateric 2008; 11(6): 467-474.

Monterrosa A, Blumel JE, Chedraui P, Gomez B, Valdez C. Quality of life impairment among postmenopausal women varies according to race. Gynecological Endocrinology 2009;25(5): 491-497.

Rahman SASA, Zainudin ST, Mun VLK. Assessment of menopausal symptoms using modified Menopause Rating Scale (MRS) among middle age women in Kuching, Sarawak, Malaysia. Asian and Pacific Family Medicine 2010;9:5.

Krajewska-Ferishah K, Krajewska-Kułak E, Terlikowski S, Wiktor H, Van Damme-Ostapowicz K, Chadzopulu A, Adraniotis J, Shpakou A. Analysis of quality of life of women in menopause period in Poland, Greece, Belarus and Belgium using MRS Scale. A multicenter study. Advances in Medical Sciences 2010; 52(2):191-195.

Krajewska-Ferishah K, Krajewska-Kułak E, Terlikowski S, Wiktor H. Analysis of quality of life women in menopause period in Poland. Prog Health Sci 2011;1(2):52-58.

Ojeda E, Monterrosa A, Blümel JE, Escobar-López J, Chedraui P. Severe menopausal symptoms in mid-aged Latin American women can be related to their indigenous ethnic component. Climateric 2011; 14(1):157-163.

Kaiser HF. An index of factorial simplicity. Psychometrika 1974; 34(1):31-36.

Bartlett MS. Test of significance in factor analysis. British Journal of Psychology 1950; 3(2): 77-85.

Gorsuch RL. Exploratory factor analysis: its role in item analysis. Journal of Personality Assessment 1997; 68(3):532-560.

Boral S, Borde T, Kentenich H, Wernecke KD, David M. Migration and symptom reporting at menopause: a comparative survey of migrant women from Turkey in Berlin, German women and women in Istanbul. Menopause 2013; 20(2):169-178.

Lock M. Menopause: lessons from anthropology. Psychosomatic Medicine 1998; 60(5):410-419.

Kilaf E, Kirchengast S. Menopause between nature and culture: menopausal age and climacteric symptoms among Turkish immigrant women in Vienna, Austria. Acta Medica Lituanica 2008;15(1):2-8.

Pitkin J. Cultural issues and the menopause. Menopause International 2010;16(2):156-161.

Jones EK, Jurgenson JR, Katzenellenbogen JM, Thompson SC. Menopause and the influence of culture: another gap for Indigenous Australian women? BMC Women’s Health 2012; 12: 43.

Sousa VM, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. Journal of Evaluation in Clinical Practice 2011;17(2): 268-274.

Melby MK, Lock M, Kaufert P. Symptom reporting at menopause: a review of cross-cultural findings. Human Reproduction Update, 2005;11(5):495-512.