1- PhD Student, Department of Demography, Department of Social Sciences, Faculty of Communication Sciences and Media Studies, Islamic Azad University, Tehran, Iran 2- Assistant Professor, Department of Social Sciences, Faculty of Communication Sciences and Media Studies, Islamic Azad University, Tehran, Iran. & Mashhad University of Medical Sciences , Pezhhan_ali@yahoo.com 3- Department of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran 4- Associate Professor, Department of Social Sciences, Faculty of Communication Sciences and Media Studies, Islamic Azad University, Tehran, Iran.
Abstract: (491 Views)
Background: Fertility is one of the key demographic indicators influenced by economic, social, and cultural factors. In recent decades, Iran—particularly the city of Mashhad—has experienced significant fertility changes in which spatial and social inequalities play an important role. This study aimed to examine the relationship between social vulnerability indicators and fertility patterns in the urban areas of Mashhad.
Methods: This mixed-method (qualitative–quantitative) study employed the Delphi technique with 27 experts to identify and prioritize 13variables across six dimensions of social vulnerability, weighted through the Analytic Hierarchy Process (AHP). Quantitative data were collected from 277 service units and the SINA health system, covering a population of over 3.5 million people. Data were analyzed using descriptive statistics, Pearson correlation, multiple linear regression, and Z-score normalization in SPSS software.
Results: The findings revealed that socio-economic and family dimensions had the greatest influence on fertility. The composite index of social vulnerability explained 16.4% of the variance in the total fertility rate (F=23.20, df=6.268, P<0.001). Fertility rates were higher in disadvantaged areas than in central districts. Family structure (r=0.497) and socio-economic status (r=0.460) were positively correlated with fertility, while public health infrastructure showed a negative correlation (r=-0.363).
Conclusion: Urban fertility patterns in Mashhad are simultaneously influenced by economic, social, familial, and spatial inequalities. Therefore, population policies and urban planning should focus on reducing these inequalities, improving spatial equity, and strengthening social and healthcare infrastructure. This study emphasizes that a comprehensive and multidimensional approach is necessary to accurately understand fertility changes and to design effective policies.
Keywords: Fertility, Social vulnerability, Spatial inequality, Human capital, MashhadAcknowledgments: The authors would like to express their sincere gratitude to Mashhad University of Medical Sciences for providing the research facilities and resources that contributed to the completion of this study.
Conflict of Interest: The authors declare that they have no conflicts of interest related to this article.
Data and Materials Availability: The data generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Consent for Publication: Not applicable to this study, as it involved the use of secondary, de-identified data.
Ethics Approval and Consent to Participate: This study was conducted in accordance with the principles outlined in the Declaration of Helsinki. The study was carried out after obtaining the necessary research approvals and ethical clearance from the Central Tehran Branch of Islamic Azad University (Ethics Committee approval No. IR.IAU.CTB.REC.1404.235). As the study used secondary, de-identified data, individual informed consent to participate was not required.
Funding: This article was derived from the doctoral dissertation of Vajieh Shayesteh Shiran in Demography at the Central Tehran Branch of Islamic Azad University.
Authors’ Contributions : Vajieh Shayesteh Shiran: Conceptualization and study design, data collection and preparation, data analysis, and manuscript drafting. Ali Pejhan, PhD: Scientific supervision of the research, guidance throughout the study, and final approval of the manuscript as the corresponding author. Ehsan Mousafarokhani, PhD: Contribution to the study methodology, specialized data analysis, interpretation of the findings, and critical revision of the manuscript. Seyed Reza Moeini, PhD: Contribution to the critical revision of the manuscript and final approval of the completed version.
All authors have read and approved the final version of the manuscript and accept responsibility for the accuracy and integrity of its content.
1. Bongaarts J. The effect of fertility decline on population aging and social security. Population and Development Review. 2017;43(3):543-63.
2. Abbasi-Shavazi MJ, McDonald P, Hosseini-Chavoshi M. The Fertility Transition in Iran: Revolution and Reproduction: Springer; 2009. [DOI:10.1007/978-90-481-3198-3] [PMID] [PMCID]
3. McDonald P, Hosseini-Chavoshi M, Abbasi-Shavazi MJ, Rashidian A. An assessment of recent Iranian fertility trends using parity progression ratios. Demographic Research. 2015;32(58):1581-602. [DOI:10.4054/DemRes.2015.32.58]
4. Ardalan A ea. National plan for health system response in disasters and emergencies. Tehran: Azarbarzin; 2015.
5. Cleland J, Wilson C. Demand theories of the fertility transition: An iconoclastic view. Population Studies. 2011;65(3):275-88.
6. Notestein FW. Population-the Long View. Schultz, T W: University of Chicago Press; 1945. p. Food for the World.
7. Becker GS. An Economic Analysis of Fertility: Princeton University Press; 1960. https://www.nber.org/books-and-chapters/demographic-and-economic-change-developed-countries/economic-analysis-fertility
8. Caldwell JC. Explanations of the fertility crisis in modern societies: a search for commonalities. Population Studies. 2003;57(3):241-63. [DOI:10.1080/0032472032000137790] [PMID]
9. Hosseini S. Education and fertility of women in Iran. Journal of Social Research. 2021. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257128
10. Karami A. Spatial inequality in access to urban services and its impact on fertility patterns in Khorasan Razavi Province. Journal of Population Studies. 2018.
11. Norouzi M, Amiri Z, Farkhani EM, Hoseini SJ, T KA. Advancing Healthcare Infrastructure: The Features of Iran's Sina Electronic Health Record System. Epidemiol Health System J. 2024:48-54. [DOI:10.34172/ehsj.26105]
12. Sciences MUoM. SINA Statistical Information System. Mashhad 2022. https://sinaehr.mums.ac.ir/
13. abbasi-Shavazi MJ RNH, Hosseini-Chavoshi M. Economic-social security and fertility intentions in Tehran. Iranian Journal of Population Studies. 2020;15(29):211-38.
14. Moshfegh M M-TG, Hosseini-Khani S. . An analysis of the relationship between employment and fertility intention among women on the verge of marriage across Iranian provinces. Population. 2016;1(1):1-24
15. Rad F SH. Investigating fertility preferences and related social factors: a case study of married women aged 15-50 in Tabriz. Journal of Women and Family Studies. 2015;3(1):55-127.
16. Firouzbakht M TA, Hajian Tilaki K, Bakouei F, Nikpour M. Social capital and fertility behaviors: a cross-sectional study in Iranian women health care workers. BMC Women's Health. 2020;2:20-83. [DOI:10.1186/s12905-020-00943-5] [PMID] [PMCID]
17. Karami A, Rezaei M, Rahimi H. Social determinants of fertility behavior in urban Iran. Iranian Journal of Population Studies. 2022;8(2):45-60.
18. Moeeni M PA, Torabi F, Heydari H, Mahmoudi M. Analysis of economic determinants of fertility in Iran: a multilevel approach. BMC Public Health. 2014;4(3):14-41. [DOI:10.15171/ijhpm.2014.78] [PMID] [PMCID]
19. Baghi M SR, Hatami A. Fertility intention in Iran: determinants and constraints. Quarterly of Strategic Studies of Culture. 2021;1(4):57-79.
Shayesteh shiran V, Pezhhan A, Mousa farkhani E, Moini S R. The Role of Social Vulnerability in Explaining Fertility Patterns: A Case Study of Mashhad The year 2023–2024. Iran J Health Res Dev 2026; 4 (3) :27-39 URL: http://jhrd.trjums.ac.ir/article-1-178-en.html
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