Mayor (TDM) puede presentarse durante el inicio de la menopausia, variando su prevalencia de acuerdo a diferentes factores de riesgo clínicos y sociodemográficos; presentándose una mayor asociación al existir alteraciones en la sintomatología menopaúsica. Ante esto, se buscará determinar el riesgo para desarrollar TDM al presentar alteraciones en la sintomatología menopaúsica. Metodología: Es un diseño transversal analítico que incluyó a 252 mujeres iniciando su menopausia (48±1.7 años), atendidas en centros de salud de Guadalajara, Jalisco. Las variables analizadas fueron antecedentes sociodemográficos, utilizando el Inventario de Depresión de Beck para identificar el TDM y la Escala de Valoración de la Menopausia para determinar alteraciones en los principales dominios sintomatológicos de la menopausia. Se realizaron análisis descriptivos y de asociación por medio de Odds Ratio (OR), aplicando finalmente una regresión logística. Resultados: La prevalencia de TDM fue de 40.5%, teniendo asociación con el antecedente de uso de anticonceptivos y con el agravamiento en la sintomatología menopaúsica. El análisis ajustado determinó que hay más riesgo de presentar TDM cuando existen alteraciones en los dominios sintomatológicos, tales como en el somático (OR 3.96, IC95% 1.58-9.95), el urogenital (OR 4.29, IC95% 2.13-8.65) y el psicológico (OR 13.55, IC95% 3.97-46.30). Conclusión: La presencia de alteraciones en la sintomatología menopaúsica se encuentra asociado con un mayor riesgo de presentar TDM, sobre todo si el dominio psicológico está afectado, por lo cual es necesario que el personal de salud identifique estas alteraciones y brinde un manejo temprano en esta etapa de la vida.
Background Subjective well-being (SWB) can be defined as a self-report evaluation that reflects the satisfaction, and emotional level, over several social and personal indicators. Alterations in these indicators could become risk factors (RF) for major depressive disorder (MDD), but this association has not been studied at women’s life stages such as the perimenopause onset, despite its increasing prevalence for depressive symptomatology. Therefore, the aim of this study was to identify if SWB’s alterations determine RF for MDD during the perimenopause. Methods An analytical cross-sectional study was realized in 252 Mexican women with perimenopause’s age range (48 ± 1.7) and menopausal symptomatology, treated on Medical Units belonging to Jalisco’s 13th Health-Region. We applied the INEGI’s Basic Self-Reported Wellbeing Survey (BIARE) that measured 30 SWB’s indicators. To identify MDD’s presence, the Beck’s Depression Inventory-II (BDI-II) was applied. The sample was studied with associative analysis, along with logistic regression models, to determine adjusted odds ratio (aOR) and corresponding 95% confidence interval (95% CI). Results Trough the BDI-II we identified 40.5% women with MDD. When compared with the undepressed group we found lower scores in all the SWB’s indicators, along with significant associations for depressive symptomatology. However, the logistic regression allowed us to identify significant RF when the women specifically reported personal life-dissatisfaction (aOR 9.6, 95% CI 1.90–17.68), emotional imbalances between happiness/sadness (aOR 7.1, 95% CI 1.49–13.57) and concentration/boredom (aOR 6.7, 95% CI 1.43–13.48); free-time dissatisfaction (aOR 5.5, 95% CI 1.17–5.70), public security unconformity (aOR 5.4, 95% CI 2.20–11.3), and sense of purposelessness (aOR 4.2, 95% CI 1.07–19.41). Conclusion The main objective of the study was to determine if SWB’s alterations are RF for depressive symptomatology, finding that social indicators with low scores are associated with MDD by means of aOR -Which were higher when compared to international research studies. Considering this, we suggest that more studies should be implemented, in order to understand and correctly attend the women’s social conditions during their perimenopause transition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.