|
1
|
Davis EP and Narayan AJ: Pregnancy as a period of risk, adaptation, and resilience for mothers and infants. Dev Psychopathol. 32:1625–1639. 2020.PubMed/NCBI View Article : Google Scholar
|
|
2
|
No authors listed. The American college of obstetricians and gynecologists committee opinion no. 630. Screening for perinatal depression. Obstet Gynecol. 125:1268–1271. 2015.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Rofé Y, Littner MB and Lewin I: Emotional experiences during the three trimesters of pregnancy. J Clin Psychol. 49:3–12. 1993.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Luz R, George A, Vieux R and Spitz E: Antenatal determinants of parental attachment and parenting alliance: How do mothers and fathers differ? Infant Ment Health J. 38:183–197. 2017.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Lowdermilk DL, Perry SE, Cashion K, Alden KR and Olshansky EF (eds): Maternity and women's health care, 11th edition. St. Louis, MO: Elsevier; 2016.
|
|
6
|
Vismara L, Rollè L, Agostini F, Sechi C, Fenaroli V, Molgora S, Neri E, Prino LE, Odorisio F, Trovato A, et al: Perinatal parenting stress, anxiety, and depression outcomes in first-time mothers and fathers: A 3- to 6-months postpartum follow-up study. Front Psychol. 7(938)2016.PubMed/NCBI View Article : Google Scholar
|
|
7
|
McNamara J, Townsend M and Herbert JS: A systemic review of maternal wellbeing and its relationship with maternal fetal attachment and early postpartum bonding. PLoS One. 14(e0220032)2019.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Grigoriadis S, VonderPorten EH, Mamisashvili L, Tomlinson G, Dennis CL, Koren G, Steiner M, Mousmanis P, Cheung A, Radford K, et al: The impact of maternal depression during pregnancy on perinatal outcomes: A systematic review and meta-analysis. J Clin Psychiatry. 74:e321–e341. 2013.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Pearlstein T: Depression during pregnancy. Best Pract Res Clin Obstet Gynaecol. 29:754–764. 2015.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Brunton R, Dryer R, Saliba A and Kohlhoff J: The initial development of the pregnancy-related anxiety scale. Women Birth. 32:e118–e130. 2019.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Nakamura Y, Takeishi Y, Ito N, Ito M, Atogami F and Yoshizawa T: Comfort with motherhood in late pregnancy facilitates maternal role attainment in early postpartum. Tohoku J Exp Med. 235:53–59. 2015.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Brassel A, Townsend ML, Pickard J and Greyner BFS: Maternal perinatal mental health: Associations with bonding, mindfulness, and self-criticism at 18 months' postpartum. Infant Ment Health. 41:69–81. 2020.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Răchită AIC, Strete GE, Sălcudean A, Ghiga DV, Rădulescu F, Călinescu M, Nan AG, Sasu AB, Suciu LM and Mărginean C: Prevalence and risk factors of depression and anxiety among women in the last trimester of pregnancy: A cross-sectional study. Medicina (Kaunas). 59(1009)2023.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Yedid Sion M, Harlev A, Weintraub AY, Sergienko R and Sheiner E: Is antenatal depression associated with adverse obstetric and perinatal outcomes? J Matern Fetal Neonatal Med. 29:863–867. 2016.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Bayrampour H, Ali E, McNeil DA, Benzies K, MacQueen G and Tough S: Pregnancy-related anxiety: A concept analysis. Int J Nurs Stud. 55:115–130. 2016.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Hu Y, Kong Y, Fei J, Zhang H and Mei S: Pathways to depressive symptoms in Chinese pregnant women and their influence on delivery approach: A qualitative comparative analysis. J Psychosom Obstet Gynaecol. 45(2404011)2024.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Sarmiento I, Paredes-Solís S, Loutfi D, Dion A, Cockcroft A and Andersson N: Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico. BMC Med Res Methodol. 20(125)2020.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Sarmiento I, Dion A, Šajna M and Andersson N: Four analysis moments for fuzzy cognitive mapping in participatory research. Glob Health Action. 17(2430024)2024.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Apostolopoulos ID, Papandrianos NI, Papathanasiou ND and Papageorgiou EI: Fuzzy cognitive map applications in medicine over the last two decades: A review study. Bioengineering (Basel). 11(139)2024.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Wu J, Chen Y, Wang Z, Hu G and Chen C: Probabilistic linguistic fuzzy cognitive maps: Applications to the critical factors affecting the health of rural older adults. BMC Med Inform Decis Mak. 22(299)2022.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Paykani T, Rafiey H and Sajjadi H: A fuzzy set qualitative comparative analysis of 131 countries: Which configuration of the structural conditions can explain health better? Int J Equity Health. 17(10)2018.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Hazelzet JA: Can fuzzy logic make things more clear? Crit Care. 13(116)2009.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Jensen R and de Moraes Lopes MHB: Nursing and fuzzy logic: An integrative review. Rev Lat Am Enfermagem. 19:195–202. 2011.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Kiseliova T and Pagava K: Fuzzy approaches in pediatrics. Georgian Med News. 230:38–46. 2014.PubMed/NCBI
|
|
25
|
Raza K: Fuzzy logic based approaches for gene regulatory network inference. Artif Intell Med. 97:189–203. 2019.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Thukral S and Rana V: Versatility of fuzzy logic in chronic diseases: A review. Med Hypotheses. 122:150–156. 2019.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Liu H and Jeffery CJ: Moonlighting proteins in the fuzzy logic of cellular metabolism. Molecules. 25(3440)2020.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Hamilton EF, Dyachenko A, Ciampi A, Maurel K, Warrick PA and Garite TJ: Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation. J Matern Fetal Neonatal Med. 33:73–80. 2020.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Elliott T: Fuzzy set qualitative comparative analysis: An introduction. Research notes, Statistics Group, UCI, 2013.
|
|
30
|
Sarantaki A, Nomikou A and Raptis A: Validity and reliability of the Greek version of pregnancy outcome questionnaire (POQ). J Mother Child. 26:35–42. 2022.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Tsai WH, Huang BY, Liu JY, Tsaur TS and Lin SJ: The application of web ATMs in e-payment industry: A case study. Expert Syst Appl. 37:587–597. 2010.
|
|
32
|
Kilincci O and Onal SA: Fuzzy AHP approach for supplier selection in a washing machine company. Expert Syst Appl. 38:9656–9664. 2011.
|
|
33
|
Korjani MM and Mendel JM: Fuzzy set qualitative comparative analysis (fsQCA): Challenges and applications. 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS). IEEE, pp1-6, 2012.
|
|
34
|
Skarmeas D, Leonidou CN and Saridakis C: Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis. J Bus Res. 67:1796–1805. 2014.
|
|
35
|
Kumbure M, Tarkiainen A, Luukk P, Stoklas J and Jantunen A: Relation between managerial cognition and industrial performance: An assessment with strategic cognitive maps using fuzzy-set qualitative comparative analysis. J Bus Res. 114:160–172. 2020.
|
|
36
|
Karnaugh M: The map method for synthesis of combinational logic circuits. In: Transactions of the American Institute of Electrical Engineers, Part I: Communication and Electronics. Volume 72. IEEE, pp593-599, 1953.
|
|
37
|
Yamasaki S and Rihoux B: A commented review of applications. In: Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques. Volume 51. SAGE Publications, Inc., pp123-146, 2009.
|
|
38
|
Barbounaki S, Kardaras DK, Dimtrioglou N and Petrounias I: Profiling using Fuzzy Set QCA for medical diagnosis: The Case of Anemia. The Seventh International Conference on Data Analytics. ISBN: 978-1-61208-681-1, pp55-60, 2018.
|
|
39
|
Kardaras DK, Kaperonis S, Barbounaki S, Petrounias I and Bithas K: An approach to modelling user interests using TF-IDF and fuzzy sets qualitative comparative analysis. 14th International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece, pp606-615, 2018.
|
|
40
|
Bousdekis A, Kardaras DK and Barbounaki S: Hotel quality evaluation from online reviews using fuzzy pattern matching and fuzzy cognitive maps. The Ninth International Conference on Data Analytics. ISBN: 978-1-61208-816-7, pp61-66, 2020.
|
|
41
|
Kosko B: Fuzzy Cognitive Maps. Int J Man-Mach Stud. 24:65–75. 1986.
|
|
42
|
Takács M: Fuzzy cognitive maps and their applications. In: Proceedings of the 2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, pp11-12, 2016.
|
|
43
|
Kardaras D, Karakostas B and Mamakou XJ: Content presentation personalisation and media adaptation in tourism web sites using fuzzy delphi method and fuzzy cognitive maps. Expert Syst Appl. 40:2331–2342. 2013.
|
|
44
|
Salehi K and Kohan S: Maternal-fetal attachment: What we know and what we need to know. Int J Pregn Chi Birth. 2:146–148. 2017.
|
|
45
|
Suryaningsih EK, Gau ML and Wantonoro W: Concept analysis of maternal-fetal attachment. Belitung Nurs J. 6:157–164. 2020.
|
|
46
|
Cannella BL: Maternal-fetal attachment: An integrative review. J Adv Nurs. 50:60–68. 2005.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Yarcheski A, Mahon NE, Yarcheski TJ, Hanks MM and Cannella BL: A meta-analytic study of predictors of maternal-fetal attachment. Int J Nurs Stud. 46:708–715. 2009.PubMed/NCBI View Article : Google Scholar
|
|
48
|
Littleton HL, Breitkopf CR and Berenson AB: Correlates of anxiety symptoms during pregnancy and association with perinatal outcomes: A meta-analysis. Am J Obstet Gynecol. 196:424–432. 2007.PubMed/NCBI View Article : Google Scholar
|
|
49
|
Rollè L, Giordano M, Santoniccolo F and Trombetta T: Prenatal attachment and perinatal depression: A systematic review. Int J Environ Res Public Health. 17(2644)2020.PubMed/NCBI View Article : Google Scholar
|
|
50
|
Goecke TW, Voigt F, Faschingbauer F, Spangler G, Beckmann MW and Beetz A: The association of prenatal attachment and perinatal factors with pre- and postpartum depression in first-time mothers. Arch Gynecol Obstet. 286:309–316. 2012.PubMed/NCBI View Article : Google Scholar
|
|
51
|
Pinarbasi FD, Basar F and Oguc AF: Effect of anxiety and depression levels on pregnancy outcome. Rev Assoc Med Bras (1992). 70(e20230922)2024.PubMed/NCBI View Article : Google Scholar
|
|
52
|
Rashidi Fakari F, Doulabi MA and Mahmoodi Z: Predict marital satisfaction based on the variables of socioeconomic status (SES) and social support, mediated by mental health, in women of reproductive age: Path analysis model. Brain Behav. 12(e2482)2022.PubMed/NCBI View Article : Google Scholar
|
|
53
|
Abolghasemi J, Jafari F, Neysani Samani L and Rimaz S: Predictors of marital satisfaction among reproductive-age women based on personality traits: A study in Iran. Cureus. 16(e59610)2024.PubMed/NCBI View Article : Google Scholar
|
|
54
|
Wang Y, Gu J, Zhang F and Xu X: Path analysis of influencing factors for maternal antenatal depression in the third trimester. Sci Rep. 14(4742)2024.PubMed/NCBI View Article : Google Scholar
|
|
55
|
Lang M, Zhou M, Lei R and Li W: Comparison of pregnancy outcomes between IVF-ET pregnancies and spontaneous pregnancies in women of advanced maternal age. J Matern Fetal Neonatal Med. 36(2183761)2023.PubMed/NCBI View Article : Google Scholar
|
|
56
|
Ertmann RK, Bang CW, Kriegbaum M, Væver MS, Kragstrup J, Siersma V, Wilson P, Lutterodt MC and Smith-Nielsen J: What factors are most important for the development of the maternal-fetal relationship? A prospective study among pregnant women in Danish general practice. BMC Psychol. 9(2)2021.PubMed/NCBI View Article : Google Scholar
|
|
57
|
Zhang L, Wang L, Cui S, Yuan Q, Huang C and Zhou X: Prenatal depression in women in the third trimester: Prevalence, predictive factors, and relationship with maternal-fetal attachment. Front Public Health. 8(602005)2021.PubMed/NCBI View Article : Google Scholar
|
|
58
|
Andrade C: Sample size and its importance in research. Indian J Psychol Med. 42:102–103. 2020.PubMed/NCBI View Article : Google Scholar
|
|
59
|
Ferreira FAF, Jalali MS and Ferreira JJM: Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables. J Bus Res. 69:1471–1478. 2016.
|
|
60
|
Xu X, Tahir SH, Khan KB, Sajid MA and Safdar MA: Beyond regression: Unpacking research of human complex systems with qualitative comparative analysis. Heliyon. 10(e31457)2024.PubMed/NCBI View Article : Google Scholar
|
|
61
|
Cangialosi N: Fuzzy-set qualitative comparative analysis (fsQCA) in organizational psychology: Theoretical overview, research guidelines, and A step-by-step tutorial using R software. Span J Psychol. 26(e21)2023.PubMed/NCBI View Article : Google Scholar
|
|
62
|
Kokkinen L: Studying social determinants of health using fuzzy-set qualitative comparative analysis: A worked example. Soc Sci Med. 309(115241)2022.PubMed/NCBI View Article : Google Scholar
|
