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2024, Number 1

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Salud Mental 2024; 47 (1)

Bibliometric analysis of peer-reviewed literature on perinatal depression in Mexico

Cruz-Cano DO, Flores-Ramos M, Sánchez-Rivera UÁ, Cruz-Cano NB

Language: English
References: 43
Page: 45-54
PDF size: 494.54 Kb.


ABSTRACT

Background. Perinatal depression (PND) is a clinical disease developed in any stage during the pregnancy and postpartum period with serious health and economic implications. Objective. The aim of this work was to analyze via bibliometrics indicators Mexico’s production on PND to provide a view of the academic landscape and a comprehensive reference for subsequent research in the country. Method. The Scopus and Web of Science (WoS) databases were used to perform a search for peer reviewed papers related to PND in México. The search was made following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The extracted data were processed with VOS Viewer to examine link strength and clusters associations of diverse bibliometrics variables. Results. A total of 132 records were retrieved and we included 70 studies in the bibliometric analysis after application of the exclusion criteria. The authors with more papers were Navarrete L., and Asunción Lara M. The institutions with more papers were the National Institute of Perinatology, Ramón de la Fuente National Institute of Psychiatry, and National Institute of Public Health of Mexico. A diminution of the research considered in PND is observed in the last two years. Four keyword clusters were identified related to PND: symptoms, prevalence, pregnancy. Discussion and conclusion. The scarce literature concerning PND in Mexico compared with other countries could be due the limited collaboration between the health institutes. An urgent need to increase research on PND in Mexico is evident to be applicable in the management of resources in the healthcare system.


REFERENCES

  1. Ali, U., Waqas, A., & Ayub, M. (2022). Research Trends and GeographicalContribution in the Field of Perinatal Mental Health: A Bibliometric Analysisfrom 1900 to 2020. Women’s Health Reports, 3(1), 661-669. doi: 10.1089/whr.2021.0144

  2. American Psychiatric Association [APA]. (2022). Diagnostic and statistical manualof mental disorders: DSM-5-TR (5th Edition). Washington, DC: AmericanPsychiatric Association.

  3. Arroyo, J., & Castañeda, N. (2016). Brain Circulation in Mexico: The DebateRemains. Open Journal of Social Sciences, 4(10), 97-110. doi: 10.4236/jss.2016.410008

  4. Bai, X., Song, Z., Zhou, Y., Wang, X., Wang, Y., & Zhang, D. (2021). Bibliometricsand Visual Analysis of the Research Status and Trends of Postpartum DepressionFrom 2000 to 2020. Frontiers in Psychology, 12. doi: 10.3389/fpsyg.2021.665181

  5. Bauer, A., Knapp, M., Matijasevich, A., Osório, A., & de Paula, C. S. (2022). Thelifetime costs of perinatal depression and anxiety in Brazil. Journal of AffectiveDisorders, 319, 361-369. doi: 10.1016/j.jad.2022.09.102

  6. Bauer, A., Parsonage, M., Knapp, M., Lemmi, V., & Adelaja, B. (2014). The costsof perinatal mental health problems. LSE & Centre for Mental Health, 1-44.

  7. Bennett, H. A., Einarson, A., Taddio, A., Koren, G., & Einarson, T. R. (2004).Prevalence of depression during pregnancy: Systematic review. Obstetrics andGynecology, 103(4), 698-709. doi: 10.1097/01.AOG.0000116689.75396.5f

  8. Bonari, L., Pinto, N., Ahn, E., Einarson, A., Steiner, M., & Koren, G. (2004).Perinatal Risks of Untreated Depression During Pregnancy. Canadian Journalof Psychiatry, 49(11), 726-735. doi: 10.1177/070674370404901103

  9. Bowen, S., & Zwi, A. B. (2005). Pathways to “Evidence-Informed” Policy andPractice: A Framework for Action. PLoS Medicine, 2(7), e166. doi: 10.1371/journal.pmed.0020166

  10. Brummelte, S., & Galea, L. A. M. (2016). Postpartum depression: Etiology, treatmentand consequences for maternal care. Hormones and Behavior, 77, 153-166. doi:10.1016/j.yhbeh.2015.08.008

  11. CONACYT. (2021). Informe general del estado de la ciencia, la tecnología y lainnovación. Ciudad de México. Retrieved from https://www.siicyt.gob.mx/index.php/estadisticas/informe-general/informe-general-2020-1/4987-informegeneral-2020/file

  12. Contreras-Carreto, N. A., Villalobos-Gallegos, L., & Mancilla-Ramírez, J. (2022).Epidemiological analysis of perinatal depression. Cirugía y Cirujanos (EnglishEdition), 90(1), 128-132. doi: 10.24875/CIRU.20001246

  13. Curry, S. J., Krist, A. H., Owens, D. K., Barry, M. J., Caughey, A. B., Davidson, K.W., Doubeni, C.A., Epling Jr., J. W., Grossman, D. C., Kemper, A. R., Kubik,M., Landefeld, C. S., Mangione, C. M., Silverstein, M., Simon, M. A., Tseng,C.-W., & Wong, J. B. (2019). Interventions to Prevent Perinatal Depression:US Preventive Services Task Force Recommendation Statement. JAMA, 321(6),580-587. doi: 10.1001/jama.2019.0007

  14. Dol, J., Dennis, C. L., Campbell-Yeo, M., & Leahy-Warren, P. (2023). Bibliometricanalysis of published articles on perinatal depression from 1920 to 2020. Birth.doi: 10.1111/birt.12779

  15. Dowse, E., Chan, S., Ebert, L., Wynne, O., Thomas, S., Jones, D., Fealy, S., Evans,T.-J., & Oldmeadow, C. (2020). Impact of Perinatal Depression and Anxiety onBirth Outcomes: A Retrospective Data Analysis. Maternal and Child HealthJournal, 24(6), 718-726. doi: 10.1007/s10995-020-02906-6

  16. Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarlyproduction: How great is the impact? Scientometrics, 105(3), 1809-1831. doi:10.1007/s11192-015-1645-z

  17. Elwyn, G., Frosch, D. L., & Kobrin, S. (2015). Implementing shared decision-making:consider all the consequences. Implementation Science, 11(1), 114. doi: 10.1186/s13012-016-0480-9

  18. Figueiredo, F. P., Parada, A. P., Araujo, L. F. de, Silva, W. A., & Del Ben, C. M. (2015).The Influence of genetic factors on peripartum depression: A systematic review.Journal of Affective Disorders, 172, 265-273. doi: 10.1016/j.jad.2014.10.016

  19. Fisher, J., Cabral de Mello, M., Patel, V., Rahman, A., Tran, T., Holton, S., & Holmes,W. (2012). Prevalence and determinants of common perinatal mental disordersin women in low- and lower-middle-income countries: a systematic review.Bulletin of the World Health Organization, 90(2), 139-149G. doi: 10.2471/BLT.11.091850

  20. Galea, L. A. M., & Frokjaer, V. G. (2019). Perinatal Depression: Embracing Variabilitytoward Better Treatment and Outcomes. Neuron, 102(1), 13-16. doi: 10.1016/j.neuron.2019.02.023

  21. Gan, Y., Li, D., Robinson, N., & Liu, J. (2022). Practical guidance on bibliometricanalysis and mapping knowledge domains methodology - A summary.European Journal of Integrative Medicine, 56, 102203. doi: 10.1016/j.eujim.2022.102203

  22. Genchi-Gallardo, F. J., Paredes-Juárez, S., Solano-González, N. L., Rios-Rivera, C. E.,Paredes-Solís, S., & Andersson, N. (2021). Prevalence of postpartum depressionand its associated factors in users of a public hospital at Acapulco, Guerrero,Mexico. Ginecología y Obstetricia de México, 89(12), 927-936. doi: 10.24245/gom.v89i12.6947

  23. Hutchens, B. F., & Kearney, J. (2020). Risk Factors for Postpartum Depression: AnUmbrella Review. Journal of Midwifery & Women’s Health, 65(1), 96-108. doi:10.1111/jmwh.13067

  24. Kajikawa, Y. (2022). Reframing evidence in evidence-based policy making and role ofbibliometrics: toward transdisciplinary scientometric research. Scientometrics,127(9), 5571-5585. doi: 10.1007/s11192-022-04325-6

  25. Krauskopf, V., & Valenzuela, P. (2020). Depresión perinatal: detección, diagnósticoy estrategias de tratamiento [Perinatal depression: a review on diagnosis andtreatment strategies]. Revista Médica Clínica Las Condes, 31(2), 139-149. doi:10.1016/j.rmclc.2020.01.004

  26. Lancaster, E. E., Lapato, D. M., & Peterson, R. E. (2022). Understanding the geneticsof peripartum depression: Research challenges, strategies, and opportunities.Frontiers in Genetics, 13, 1022188, 1-8. doi: 10.3389/fgene.2022.1022188

  27. Luca, D. L., Margiotta, C., Staatz, C., Garlow, E., Christensen, A., & Zivin, K. (2020).Financial Toll of Untreated Perinatal Mood and Anxiety Disorders Among 2017Births in the United States. American Journal of Public Health, 110(6), 888-896. doi: 10.2105/AJPH.2020.305619

  28. Mahood, Q., Van Eerd, D., & Irvin, E. (2014). Searching for grey literature forsystematic reviews: Challenges and benefits. Research Synthesis Methods, 5(3),221–234. doi: 10.1002/jrsm.1106

  29. Manoj Kumar, L., George, R. J., & Anisha, P. S. (2022). Bibliometric Analysis forMedical Research. Indian Journal of Psychological Medicine, 45(3), 277-282.doi: 10.1177/02537176221103617

  30. McEvoy, K., Osborne, L. M., Nanavati, J., & Payne, J. L. (2017). ReproductiveAffective Disorders: a Review of the Genetic Evidence for PremenstrualDysphoric Disorder and Postpartum Depression. Current Psychiatry Reports,19(12), 94. doi: 10.1007/s11920-017-0852-0

  31. Mehta, D., Grewen, K., Pearson, B., Wani, S., Wallace, L., Henders, A. K., Binder,E. B., Frokjaer, V. G., Meltzer-Brody, S., Wray N. R., & Stuebe, A. M. (2021).Genome-wide gene expression changes in postpartum depression point towardsan altered immune landscape. Translational Psychiatry, 11(1), 155. doi:10.1038/s41398-021-01270-5

  32. Nakagawa, S., Samarasinghe, G., Haddaway, N. R., Westgate, M. J., O’Dea, R. E.,Noble, D. W. A., & Lagisz, M. (2019). Research Weaving: Visualizing the Futureof Research Synthesis. Trends in Ecology & Evolution, 34(3), 224-238. doi:10.1016/j.tree.2018.11.007

  33. Navarrete, L., Lara, M. A., Berenzon, S., & Mora-Rios, J. (2022). Challenges ofPerinatal Depression Care in Mexico City Health Centers. International Journalof Womens Health, 14, 1667-1679. doi: 10.2147/IJWH.S381196

  34. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C.D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J.,Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson,E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: an updatedguideline for reporting systematic reviews. BMJ, 372, n71. doi: 10.1136/bmj.n71

  35. Rahman, A., Hafeez, A., Bilal, R., Sikander, S., Malik, A., Minhas, F., TomensonB., & Creed, F. (2016). The impact of perinatal depression on exclusivebreastfeeding: a cohort study. Maternal & Child Nutrition, 12(3), 452-462. doi:10.1111/mcn.12170

  36. Rantalainen, V., Binder, E. B., Lahti-Pulkkinen, M., Czamara, D., Laivuori, H.,Villa, P. M., Girchenko, P., Kvist, T., Hämäläinen, E., Kajantie, E., Lahti, J., &Räikkönen, K. (2020). Polygenic prediction of the risk of perinatal depressivesymptoms. Depression and Anxiety, 37(9), 862-875. doi: 10.1002/da.23066

  37. Santiago, L., Ibarra, P., Rendón, M., Treviño, P., Islas, D., Porras, G., & VanTienhoven, X. (2023). Depresión posparto: prevalencia y factores de riesgoasociados en una muestra de población mexicana. Ginecología y Obstetriciade México, 91(04), 227-240. Retrieved from https://www.medigraphic.com/cgibin/new/resumen.cgi?IDARTICULO=110639

  38. Schneegans, S., Lewis, J., & Tiffany, S. (2021). UNESCO Science report: the raceagainst time for smarter devolpement. Paris.

  39. Secretaría de Salud. (2021). Guía de Práctica Clínica. Prevención, diagnóstico ymanejo de la depresión prenatal y posparto en el primer y segundo niveles deatención. México: Cenetec, 1-60.

  40. Shamah-Levy, T., Vielma-Orozco, E., Heredia-Hernández, O., Romero-Martínez,M., Mojica-Cuevas, J., Cuevas-Nasu, L., Santaella-Castell, J. A., & Rivera-Dommarco, J. (2020). Encuesta Nacional de Salud y Nutrición 2018-19:Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública.

  41. Shidhaye, P., & Giri, P. (2014). Maternal depression: A hidden burden in developingcountries. Annals of Medical and Health Sciences Research, 4(4), 463-465. doi:10.4103/2141-9248.139268

  42. SSA. (2016). Norma Oficial Mexicana NOM-007-SSA2-2016, Para la atención de lamujer durante el embarazo, parto y puerperio, y de la persona recién nacida.

  43. Wang, Z., Liu, J., Shuai, H., Cai, Z., Fu, X., Liu, Y., Xiao, X., Zhang, W., Krabbendam,E., Liu, S., Liu, Z., Li, Z., & Yang, B. X. (2021). Mapping global prevalence ofdepression among postpartum women. Translational Psychiatry, 11(1), 1-24.doi: 10.1038/s41398-021-01663-6




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