Evidence map›Paper›PMID 36913055›Full record

ArticleJournal of religion and health2023

Attitudes of Different Religions Toward Surrogacy: Analysis of 11 Countries' Situation Using Machine Learning Approach and Artificial Neural Networks.

Metin Yıldız, Ezomo Ojeiru Felix, Olugbenga Ademiju, Tajudeen Oluwafemi Noibi, Roseline Florence Gomes, Abraham Tanimowo, Muhammed Tayyeb, Ram Bahadur Khadka, Andrianirina Rhino, Rabia Yildiz and 5 more

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Article in Journal of religion and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Attitudes and Perceptions of Surrogacy in Greece.Advances in experimental medicine and biology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Metin YıldızDepartment of Nursing, Sakarya University, Serdivan, Sakarya, Turkey. yildizz.metin@gmail.com.ORCID http://orcid.org/0000-0003-0122-5677
Ezomo Ojeiru FelixDepartment of Adaptation Physiology, Tottori University, Yonago, Japan.ORCID http://orcid.org/0000-0002-9247-5454
Olugbenga AdemijuAnchor Care and Education, London, England.ORCID http://orcid.org/0000-0002-4755-4911
Tajudeen Oluwafemi NoibiUniversidad Autonoma Ciudad Juárez, Ciudad Juárez, Mexico.ORCID http://orcid.org/0000-0002-7175-4120
Roseline Florence GomesDepartment of Psychology, Jyoti Nivas College Autonomous, Bangalore, India.ORCID http://orcid.org/0000-0003-2997-6237
Abraham TanimowoInstitute of Child Health, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID http://orcid.org/0000-0002-4089-4729
Muhammed TayyebAnaesthesiology, Medical Teaching Institution, Bacha Khan Medical College BKMC, Maran, Pakistan.ORCID http://orcid.org/0000-0002-6282-1133
Ram Bahadur KhadkaFaculty of Management, Tribhuvan University, Kathmandu, Bagmati Province, Nepal.ORCID http://orcid.org/0000-0002-9469-5389
Andrianirina RhinoManagement, Economy, Finance, Catholıc Unıversıty of Madagascar, Antananarivo, Madagascar.ORCID http://orcid.org/0000-0002-8670-9648
Rabia YildizFaculty of Theology, Sakarya University, Serdiven, Turkey.ORCID http://orcid.org/0000-0002-2738-5823
Kiarash RamazanzadeganAnkara University Faculty of Dentıstry, Ankara, Turkey.
Mehmet Salih YildirimVocational School of Health Services, Agri Ibrahim Cecen University School of Health, Agri, Turkey.ORCID http://orcid.org/0000-0003-2632-4583
Ebru SolmazDepartment of Midwifery, Agri Ibrahim Cecen University, Agri, Turkey.ORCID http://orcid.org/0000-0003-1962-8669
Çiğdem Müge HaylıDepartment of Nursing, Hakkari University, Hakkari, Turkey.ORCID http://orcid.org/0000-0001-7630-9619
Aylin ŞenganDepartment of Midwifery, Sakarya University, Serdiven, Turkey.ORCID http://orcid.org/0000-0003-2520-1194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals may develop different attitudes on bioethics in general and reproductive ethics in particular, due to the effects of different sociocultural environments. Individuals' attitudes toward surrogacy are affected positively or negatively depending on religious and cultural environments. This study was conducted to determine and compare the attitudes of different religions toward surrogacy. This study is cross-sectional and collected from individuals living in Turkey, India, Iran, the Turkish Republic of Northern Cyprus, Madagascar, Nepal, Nigeria, Pakistan, Mexico, England, and Japan between May 2022 and December 2022. The study was conducted with individuals belonging to Islam, Christianity, Hinduism, Buddhism, and Atheism. The study was conducted with 1177 individuals from different religions who agreed to participate in the study by snowball sampling method. The introductory Information Form and "Attitude Questionnaire Toward Surrogacy" were used as data collection tools. R programming language 4.1.3 was used for regression analysis with machine learning approach and artificial neural networks, and SPSS-25 was used for other statistical analyses. There was a significant difference between the total mean score of the individuals' Attitudes toward Surrogacy Questionnaire and their religious beliefs (p < 0.05). When the results of the analysis of the regression model with the dummy variable, which was carried out with the aim of revealing the effects of religious belief on the attitude toward surrogacy, are examined, statistical estimates of the regression model show that the model is significant and usable F(4,1172) = 5.005, p = 0.001). It explains 1.7% of the total variance of the level of religious belief's attitude toward surrogacy. In the regression model, when the t-test results regarding the significance of the regression coefficient are examined, among the participants, it was determined that the mean score of those who believed in Islam (t =  - 3.827, p < 0.001) and those who believed in Christianity (t =  - 2.548, p < 0.001) was lower than the mean score of those who believed in Hinduism (Constant) (p < 0.05). Individuals' attitudes toward surrogacy differ according to their religion. The best performing algorithm for the prediction model was random forest (RF) regression. The contributions of the variables to the model were calculated with Shapley values (Shapley Additive Explanations (SHAP)). The SHAP values of the variables in the best performing model were examined to avoid bias in terms of comparison in the performance criterion. SHAP values (Shapley Additive Explanations) show the contribution or importance of each variable in the estimation of the model. It is determined that the most important variable that should be in the model to predict the Attitude Toward Surrogacy Survey variable is the Nationality variable. It is recommended that studies on attitudes toward surrogacy should be conducted by taking religious and cultural values into consideration.

Indexed as

AttitudeIslamChristianityCross-Sectional StudiesHumansNeural Networks, ComputerAttitudeReligious beliefSurrogacy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.