Preipheral Urban Spaces Development

Preipheral Urban Spaces Development

Application of the Neuro-Fuzzy Model in Analyzing Factors Affecting the Social Health of Rural Households Around Zanjan City

Document Type : Original Article

Author
Department of Geography, Faculty of Humanities, University of Zanjan, Iran.
10.22034/jpusd.2025.526800.1347
Abstract
Extended Abstract
Introduction
In Iran, since 1979, various programs under the title "Healthy Village" have been implemented to improve living conditions in rural areas (Afrakhteh & Afkar, 1391/2012). These programs were designed and executed to enhance health in various dimensions, particularly in rural regions. Based on Articles 3, 29, and 43 of the Constitution of the Islamic Republic of Iran, the government is obligated to provide basic universal insurance services equitably to all segments of society (Islamic Consultative Assembly Research Center, 1381/2002). However, despite these efforts, social health, as a key dimension of health, particularly in rural areas surrounding cities (peri-urban), still faces challenges that require thorough examination and effective planning.
The rural areas around the city of Zanjan, due to their proximity to the urban center while retaining rural characteristics, possess significant economic potential and natural resources. Nevertheless, these areas face issues such as limited access to healthcare services, inadequate infrastructure, and problems related to social interactions. Social health in these regions depends on factors such as access to healthcare and medical services, safe drinking water, public health, health education, and environmental hygiene. The absence or weakness of these factors can adversely affect the quality of life of rural residents and hinder the achievement of sustainable development in these areas.
 
Methodology
The current research is applied in nature, descriptive-analytical in methodology, and employs a quantitative approach. The statistical population of this study consists of 20 peri-urban villages located within a 20-kilometer radius of the city of Zanjan. Eight villages were selected as the sample population using a probabilistic sampling method (lottery method). The studied villages comprise 3,047 households, and using the Cochran formula with an error margin of 0.05, the required sample size for completing the questionnaire was calculated to be 384 households. Additionally, a systematic method was used to distribute the questionnaires. Data collection was conducted through library-based and field methods (questionnaires), and data analysis was performed using descriptive statistics and neuro-fuzzy techniques. To extract social health indicators and develop questionnaire items, the standard Keyes questionnaire was utilized. To assess and identify factors affecting the social health of rural households, four categories of factors—individual, economic, social, and physical-environmental—were classified into 41 indicators. The reliability of the questionnaire was calculated using Cronbach’s alpha, with values ranging from 0.43 to 0.83 for different components and an overall value of 0.68 (Table 4), indicating acceptable reliability of the tool. For data analysis, quantitative methods, descriptive statistics (mean and frequency percentage), and inferential statistics (one-sample t-test and neuro-fuzzy) were used in the SPSS software.
 
Results and discussion
The results of the one-sample t-test indicated that social flourishing (t-statistic = 30.122, p < 0.001), social cohesion (t-statistic = 27.206, p < 0.001), and social participation (t-statistic = 28.274, p < 0.001) were significantly above the desirable threshold (3), suggesting dynamic social relationships and a strong sense of belonging in the peri-urban villages around Zanjan. In contrast, social acceptance (t-statistic = 0.232, p = 0.791) and social integration (t-statistic = -4.441, p < 0.001) were found to be suboptimal, indicating weaknesses in accepting social differences and the predictability of the social environment. The neuro-fuzzy model revealed that the economic factor (input = 12.14, output = 14.29) was the strongest predictor of social health, followed by the social factor (input = 10.77, output = 12.32), with individual factors (input = 8.16, output = 8.61) and physical-environmental factors (input = 7.9, output = 8.14) having less impact. The results from Table 7, which pertains to detailed indicators, showed that in the economic dimension, secondary employment (input = 11.27, output = 12.41) and income (input = 10.51, output = 11.84) had a significant impact, while in the social dimension, strong relationships among villagers (input = 10.91, output = 11.85) and nutritional culture (input = 10.24, output = 12.54) were prominent. Secondary employment and income increased social participation by reducing economic pressures, while strong relationships and nutritional culture improved the sense of belonging by strengthening social capital.
 
Conclusion
In this study, the social health status of households in the peri-urban villages around the city of Zanjan and the factors affecting it were examined. The results indicate that social health, as a key component of the quality of life for residents in these areas, is influenced by economic, social, individual, and physical-environmental factors. Based on the obtained data, the economic factor, with an input of 12.14 and an output of 14.29, was identified as the most influential factor, which aligns with the findings of previous research in this field. Various studies, including those by Gramit et al. (2023) and Connolly (2023), demonstrate that economic conditions directly impact individuals' social and psychological health.
Furthermore, social factors, with an input of 10.77 and an output of 12.32, ranked second in influence. This finding is consistent with the theories of Keyes (2004) and Swarbrick and Yudof (2015), which emphasize the importance of social relationships and strong community ties. The presence of robust social relationships can enhance social capital and foster a sense of belonging to the community, ultimately leading to improved social health.
Regarding individual factors, the results showed that these factors, with an input of 8.16 and an output of 8.61, had less impact compared to economic and social factors. This finding aligns with the theories of Erikson (1959) and Raff and Corey (1995), which highlight the importance of personal growth and positive relationships with others. Finally, physical and environmental factors, with an input of 7.9 and an output of 8.14, had the least impact on social health, which is also consistent with previous research, particularly those emphasizing the influence of the environment on social health.
 
Funding
There is no funding support.
 
Authors Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
 We are grateful to all the scientific consultants of this paper.
Keywords
Subjects

افراخته، حسن؛ افکار، ابوالحسن. (1391). عوامل مؤثر بر سطح سلامت روستاها (مطالعة موردی: روستاهای شهرستان شفت).مجله پژوهش و برنامه‌ریزی روستایی، 1 (1)، 25-43.
رضادوست، کریم؛ حسین زاده، علی حسین؛ رستمی، ایوب. (1398). سنجش سلامت اجتماعی و برخی عوامل اجتماعی مؤثر بر آن (مورد مطالعه: دانشجویان دانشگاه شهید چمران اهواز). 18 (44)، 278-257.
مرکز پژوهش‌های مجلس شورای اسلامی،(1381). ‌قانون ساماندهی بهداشت و درمان.
American Psychological Association. (2024). Social health and well-being: The role of social connections in mental health. https://www.apa.org/topics/social-health
Andrews, F. M., & Withey, S. B. (1976). Social indicators of well-being: Americans' perceptions of life quality. Plenum Press.
Bachner, F., Bobek, J., Habimana, K., Ladurner, J., Lepuschütz, L., Ostermann, H., ... & Winkelmann, J. (2018). Austria: Health system review. Health Systems in Transition, 20(3). World Health Organization, Regional Office for Europe, European Observatory on Health Systems and Policies. https://doi.org/10.1065/330188
Bell, D., & Olson, M. (1969). Toward a social report: I. The idea of a social report, II. The purpose and plan of a social report. Public Interest, 15, 72–97.
Bhagwan, R., & Heeralal, C. (2024). Advancing the need for medical social workers in paediatric wards at a public health hospital in South Africa. Children and Youth Services Review, 156, Article 107236. https://doi.org/10.1016/j.childyouth.2023.107236
Buhler, C. (1935). The curve of life as studied in biographies. Journal of Applied Psychology, 19(4), 405–409. https://doi.org/10.1037/h0056850
Carrillo-Álvarez, E., Salinas-Roca, B., & Costa-Tutusaus, L. (2021). Food insecurity interventions in rural areas: A systematic review. Public Health Nutrition, 24(12), 3890–3900. https://doi.org/10.1017/S1368980021001234
Clouston, S. A. P., Rubin, M. S., Phelan, J. C., & Link, B. G. (2016). A social history of disease: Contextualizing the rise and fall of social inequalities in cause-specific mortality. Demography, 53(5), 1631–1656. https://doi.org/10.1007/s13524-016-0495-5
Connolly, H. (2023). “They’re training us to be helpless”: Medical student socialization around social determinants of health. SSM - Qualitative Research in Health, 4, Article 100327. https://doi.org/10.1016/j.ssmqr.2023.100327
Dougall, I., Vasiljevic, M., Wright, J. D., & Weick, M. (2024). How, when, and why is social class linked to mental health and wellbeing? A systematic meta-review. Social Science & Medicine, 343, Article 116542. https://doi.org/10.1016/j.socscimed.2023.116542
Duffner, L. A., Deckers, K., Cadar, D., Steptoe, A., de Vugt, M., & Köhler, S. (2022). The role of cognitive and social leisure activities in dementia risk: Assessing longitudinal associations of modifiable and non-modifiable risk factors. Epidemiology and Psychiatric Sciences, 31, Article e5. https://doi.org/10.1017/S204579602100069X
Duffner, L. A., DeJong, N. R., Jansen, J. F. A., & et al. (2023). Associations between social health factors, cognitive activity, and neurostructural markers for brain health. Ageing Research Reviews, 89, Article 101986. https://doi.org/10.1016/j.arr.2023.101986
Erikson, E. H. (1959). Identity and the life cycle. Psychological Issues, 1(1), 18–164.
Fonka, F., Singu, S., & Byrareddy, S. N. (2020). Social determinants of health: Experiences of healthcare managers about COVID-19. Frontiers in Public Health, 8, Article 406. https://doi.org/10.3389/fpubh.2020.00406
Ghaderi, A., Tabatabaei, S. M., Nedjat, S., Javadi, M., & Larijani, B. (2018). Explanatory definition of the concept of spiritual health: A qualitative study in Iran. Journal of Medical Ethics and History of Medicine, 11(3), 1–7. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150917/
Graham, H. (2004). Social determinants and their unequal distribution: Clarifying policy understandings. The Milbank Quarterly, 82(1), 101–124. https://doi.org/10.1111/j.0887-378X.2004.00303.x
Grummitt, L., Barrett, E., Halladay, J., & et al. (2023). Embedding action on social and structural determinants of mental health into a national framework. Mental Health & Prevention, 32, Article 200308. https://doi.org/10.1016/j.mhp.2023.200308
Gugushvili, A., & Jarosz, E. (2024). A longitudinal study of perceived social position and health-related quality of life. Social Science & Medicine, 340, Article 116446. https://doi.org/10.1016/j.socscimed.2023.116446
Hawks, S. R., Smith, T., Thomas, H. G., Christley, H. S., Meinzer, N., & Pyne, A. (2008). The forgotten dimensions in health education research. Health Education Research, 23(2), 319–324. https://doi.org/10.1093/her/cym028
Iizuka, A., Suzuki, H., Ogawa, S., Kobayashi-Cuya, K. E., Kobayashi, M., Takebayashi, T., & Fujiwara, Y. (2019). Can cognitive leisure activity prevent cognitive decline in older adults? A systematic review of intervention studies. Geriatrics & Gerontology International, 19(6), 469–482. https://doi.org/10.1111/ggi.13671
Kerschbaumer, L., Crossett, L., Holaus, M., & Costa, U. (2024). COVID-19 and health inequalities: The impact of social determinants of health on individuals affected by poverty. Health Policy and Technology, 13(1), Article 100803. https://doi.org/10.1016/j.hlpt.2023.100803
Keyes, C. L. M. (2004). Social well-being in the United States: A descriptive epidemiology. In O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we? A national study of well-being at midlife (pp. 350–372). University of Chicago Press.
Keyes, C. L. M. (2006). Mental health in adolescence: Is America's youth flourishing? American Journal of Orthopsychiatry, 76(3), 395–402. https://doi.org/10.1037/0002-9432.76.3.395
Khan, R., & Qureshi, M. S. H. (2018). The three dimensions of health and well-being. Journal of Community Medicine and Health Education, 8(1), Article 586. https://doi.org/10.4172/2161-0711.1000586
Kuiper, J. S., Zuidersma, M., Oude Voshaar, R. C., Zuidema, S. U., van den Heuvel, E. R., Stolk, R. P., & Smidt, N. (2015). Social relationships and risk of dementia: A systematic review and meta-analysis of longitudinal cohort studies. Ageing Research Reviews, 22, 39–57. https://doi.org/10.1016/j.arr.2015.04.006
Leeves, G. D., & Herbert, R. (2014). Gender differences in social capital investment: Theory and evidence. Economic Modelling, 37, 377–385. https://doi.org/10.1016/j.econmod.2013.11.030
Lenart-Bugla, M., Łuc, M., Pawłowski, M., Szcześniak, D., Seifert, I., Wiegelmann, H., ... & Rymaszewska, J. (2022). What do we know about social and non-social factors influencing the pathway from cognitive health to dementia? A systematic review of reviews. Brain Sciences, 12(9), Article 1214. https://doi.org/10.3390/brainsci12091214
Li, K., Jiang, S., Yan, X., & Li, J. (2024). Mechanism study of social media overload on health self-efficacy and anxiety. Heliyon, 10(1), Article e23326. https://doi.org/10.1016/j.heliyon.2023.e23326
Marseglia, A., Kalpouzos, G., Laukka, E. J., Maddock, J., Patalay, P., Wang, H. X., ... & Dekhtyar, S. (2023). Social health and cognitive change in old age: Role of brain reserve. Annals of Neurology, 93(4), 844–855. https://doi.org/10.1002/ana.26591
Masoom, M. R. (2024). Social capital and health beliefs: Exploring the effect of bridging and bonding social capital on health locus of control among women in Dhaka. Heliyon, 10(7), Article e28932. https://doi.org/10.1016/j.heliyon.2024.e28932
Mbaya, C. K., & Estapé-Dubreuil, G. (2016). Gender and opportunity recognition: Does social capital rank higher than human capital among poor women? International Journal of Entrepreneurship and Small Business, 27(4), 542–559. https://doi.org/10.1504/IJESB.2016.075018
Moskowitz, D., Vittinghoff, E., & Schmidt, L. (2013). Reconsidering the effects of poverty and social support on health: A 5-year longitudinal test of the stress-buffering hypothesis. Journal of Urban Health, 90(1), 175–184. https://doi.org/10.1007/s11524-012-9757-8
Nabi, Md. N. U., Zohora, F. T., & Misbauddin, S. M. (2023). Social media links with social capital to trust in healthcare facilities: Empirical evidence from Bangladesh. Library Hi Tech, 41(1), 210–228. https://doi.org/10.1108/LHT-09-2022-0443
Neugarten, B. L. (1973). Personality change in late life: A developmental perspective. In C. Eisdorfer & M. P. Lawton (Eds.), The psychology of adult development and aging (pp. 311–335). American Psychological Association.
Ortiz-Rodriguez, J., Martinez-Lopez, Y. E., & Castillo-Gonzalez, A. (2022). Community-based strategies for food security in rural Mexico. Sustainability, 14(5), Article 2754. https://doi.org/10.3390/su14052754
Penninkilampi, R., Casey, A. N., Singh, M. F., & Brodaty, H. (2018). The association between social engagement, loneliness, and risk of dementia: A systematic review and meta-analysis. Journal of Alzheimer's Disease, 66(4), 1619–1633. https://doi.org/10.3233/JAD-180439
Portes, A. (1998). Social capital: Its origins and applications in modern sociology. Annual Review of Sociology, 24(1), 1–24. https://doi.org/10.1146/annurev.soc.24.1.1
Reifegerste, D., Blech, S., & Dechant, P. (2020). Understanding information seeking about the health of others: Applying the comprehensive model of information seeking to proxy online health information seeking. Journal of Health Communication, 25(2), 126–135. https://doi.org/10.1080/10810730.2020.1716280
Rosenzweig, C., Mbow, C., & Barioni, L. G. (2020). Climate change and food systems: Impacts and adaptation strategies. Nature Climate Change, 10(8), 697–703. https://doi.org/10.1038/s41558-020-0838-2
Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037/0022-3514.69.4.719
Sajeev, G., Weuve, J., Jackson, J. W., VanderWeele, T. J., Bennett, D. A., Grodstein, F., & Blacker, D. (2016). Late-life cognitive activity and dementia: A systematic review and bias analysis. Epidemiology, 27(5), 732–742. https://doi.org/10.1097/EDE.0000000000000513
Samtani, S., Mahalingam, G., Lam, B. C. P., Lipnicki, D. M., Lima-Costa, M. F., Blay, S. L., ... & Brodaty, H. (2022). Associations between social connections and cognition: A global collaborative individual participant data meta-analysis. The Lancet Healthy Longevity, 3(11), e740–e753. https://doi.org/10.1016/S2666-7568(22)00199-4
Sanikhani, H., & Kisi, O. (2012). River flow estimation and forecasting by using two different adaptive neuro-fuzzy approaches. Water Resources Management, 26(6), 1715–1729. https://doi.org/10.1007/s11269-012-9982-7
Smith, J. P. (1999). Healthy bodies and thick wallets: The dual relation between health and economic status. Journal of Economic Perspectives, 13(2), 145–166. https://doi.org/10.1257/jep.13.2.145
Sohail, T., & Inam-ul Haq, S. (2021). Gendered social capital guiding women career planning: A quantitative study at University of the Punjab. Progressive Research Journal of Arts & Humanities, 3(1), 75–90. https://doi.org/10.51872/prjah.vol3.iss1.91
Statistics Austria. (2019). Österreichische Gesundheitsbefragung 2019. https://www.statistik.at/services/tools/services/publikationen/detail/848
Stern, C., & Munn, Z. (2010). Cognitive leisure activities and their role in preventing dementia: A systematic review. International Journal of Evidence-Based Healthcare, 8(1), 2–17. https://doi.org/10.1111/j.1744-1609.2010.00150.x
Svalastog, A. L., Donev, D., Kristoffersen, N. J., & Gajović, S. (2017). Concepts and definitions of health and health-related values in the knowledge landscapes of the digital society. Croatian Medical Journal, 58(6), 431–435. https://doi.org/10.3325/cmj.2017.58.431
Swarbrick, M., & Yudof, J. (2015). Wellness in the 8 dimensions. Collaborative Support Programs of New Jersey.
Takian, A., Kiani, M. M., & Khanjankhani, K. (2020). COVID-19 and the need to prioritize health equity and social determinants of health. International Journal of Public Health, 65(5), 521–523. https://doi.org/10.1007/s00038-020-01398-z
Thompson, K., & van Ophem, J. (2023). Re-examining the social gradient in health: A study of Dutch men, 1850–1984. SSM - Population Health, 24, Article 101518. https://doi.org/10.1016/j.ssmph.2023.101518
Timberlake, S. (2005). Social capital and gender in the workplace. Journal of Management Development, 24(1), 34–44. https://doi.org/10.1108/02621710510572335
Vernooij-Dassen, M., Verspoor, E., Samtani, S., Sachdev, P., Ikram, M. A., Vernooij, M. W., ... & Perry, M. (2022). Conceptual advancement: Social health as a facilitator in the use of cognitive reserve [Preprint]. medRxiv. https://doi.org/10.1101/2022.06.07.22276079
Wilson, S. H., & Walker, G. M. (1993). Unemployment and health: A review. Public Health, 107(3), 153–162. https://doi.org/10.1016/S0033-3506(05)80436-6
World Health Organization. (1946). Constitution of the World Health Organization. http://apps.who.int/gb/bd/PDF/bd47/EN/constitution-en.pdf
World Health Organization. (2019). Health and reduced inequalities (Policy brief). WHO Regional Office for Europe. https://apps.who.int/iris/handle/10665/341011
World Health Organization. (2021). COVID-19 and the social determinants of health and health equity: Evidence brief. https://www.who.int/publications/i/item/9789240038387
World Health Organization. (2024). Social determinants of health: Key concepts and frameworks. https://www.who.int/health-topics/social-determinants-of-health
Yates, L. A., Ziser, S., Spector, A., & Orrell, M. (2016). Cognitive leisure activities and future risk of cognitive impairment and dementia: Systematic review and meta-analysis. International Psychogeriatrics, 28(11), 1791–1806. https://doi.org/10.1017/S1041610216001137
Yu, J.-T., Xu, W., Tan, C.-C., Andrieu, S., Suckling, J., Evangelou, E., ... & Vellas, B. (2020). Evidence-based prevention of Alzheimer’s disease: Systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials. Journal of Neurology, Neurosurgery & Psychiatry, 91(11), 1201–1209. https://doi.org/10.1136/jnnp-2019-321913