Social Network and Demographic Factors on Quality of Life among Youths in Ibadan Greater Municipality

David E. Okurame; Bolanle S. Faseyitan; Emmanuel E. Uye

doi:10.63922/ijbqr.v3i02.1307

David E. Okurame Department of Psychology, University of Ibadan, Nigeria
Bolanle S. Faseyitan Department of Psychology, University of Ibadan, Nigeria
Emmanuel E. Uye Department of Psychology, University of Ibadan, Nigeria

DOI: https://doi.org/10.63922/ijbqr.v3i02.1307

Keywords: Social network, demographic factors, quality of life, youths

Abstract

Quality of life among Nigerian youths has continued to be an issue of concern due to the state of the country's economic situations. Studies have examined quality of life among youths using different factors with varied results. Therefore, this study investigated social network and demographic factors on quality of life among youths in Ibadan, Nigeria. Cross-sectional survey design was adopted while a simple random sampling method was used to select five Local Government Areas in Ibadan Greater Municipality (IGM). Data were collected from 355 participants using validated scales and analyzed using multiple regression analysis and independent samples t-test statistics. Two hypotheses were tested and accepted at p =.001 level of significance. The result revealed that social networks significantly influence quality of life among youths in IGM [t (353) =5.60, p =.001]. The result further showed that demographic factors of age, gender and educational status jointly predicted quality of life among youths in IGM [R2 =. 062, F(3, 350) = 4.578, p = .001]. However, it was only educational status that independently predicted quality of life among study participants (β = -234, t= -4.478, p =.001). It is concluded that social networks and demographic factors of educational status are strong contributors to quality of life among youths in IGM. The study recommended that government and other stakeholders should empower youths with skills and career plans to improve their quality of life.

References

Ahn, J. (2011). The effect of social networking sites on adolescents' social and

Academic development: Current theories and controversies. Journal of the American Society for Information Science and Technology 62, 1435-1445 https://doi.org/10.1002/asi.21540

Amao, F. L. (2014). Quality of life of poor residential neighborhoods in Osogbo, Nigeria. International Scholarly and Scientific Research & Innovation, 8(4), 914-917.

Baxter, C., &Cummis, R.A. (2013). Extending network support through shared family Australian Family Research Conference, Electronic Database, Australian Institute of Family Studies, Document on data with slightly distorted simple structure. Structural Equation Modeling 12, 41-75.

Blane, K.I. (2010). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34- 42.

Blane, D., Higgs, P., Hyde, M., & Wiggins, R. D. (2004). Life course influences on quality of life in early old age. Social Science & Medicine, 58, 2171-9179.

Berkman, L. F., & Krishna, A. (2014). Social network epidemiology. In L. F. Berkman, I. Kawachi, & M. M. Glymour (Eds.), Social Epidemiology (2nd ed., pp. 234–289). Oxford University Press https://doi.org/10.1093/med/9780195377903.003.0007

Blanchflower, D.G., & Oswald, A.J. (2008).Is well-being U-shaped over the life cycle? Social Science Medicine,66, 1733-1749.

Blau, P. (1964). Exchange and power in social life. Wiley.

Bosworth, H. B., Siegler, I. C., Olsen, M. K., Brummett, B. H., Barefoot, J. C., Williams, R. B., Clapp-Channing, N. E., & Mark, D. B. (2000). Social support and quality of life in patients with coronary artery disease. Quality of Life Research, 9, 829-839.

Coleman, J.S. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, Supplementary, S95-S120 www.ajs.com

Farwa, U.,Hiussain, M., Afzal, M., & Gilani, S. A. (2019). The role of age, gender and socio-economic status in self-esteem and life satisfaction of nursing students. Journal of Health, Medicine, and Nursing, 62, 178-186. https://doi.org/10.7176/JHMN

Fakorede, K. J, Obosi, A.C. &Uye, E. E. (2024). Socio-demographic predictors of quality of life among frontline army officers in Nigeria, ESUT Journal of Social Sciences & Humanities, 9(2), 343-351.

Hyde, M., Wiggins, R.D.,Higgs, P., & Blane, D.B.(2003). A measure of quality of life in early old age : The theory, development and properties of a needs satisfaction model(CASP-19).Aging & Mental Health, 7(3), 186-194 https://doi.org/10.1080/1360786031000101157

Kawachi, I., & Berkman, L. F. (2014). Social Capital, Social Cohesion, and Health. In L. F.

Berkman, I. Kawachi, & M. M. Glymour (Eds.), Social Epidemiology (2nd ed., pp.

– 319). Oxford University Press https://doi.org/10.1093/med/9780195377903.003.0008

Netuveli, G., Wiggins, R. D., Hildon, Z., Montgomery, S. M., & Blane, D. (2006). Quality of life at older ages: Evidence from the English Longitudinal Study of Aging (Wave 1). Journal Epidemiological Community Health Studies, 60, 357-363.

Nur, N., Kibik, A., Kilic, E., & Sumer, H. (2017). Health-related quality of life and associated factors among undergraduate university students. Oman Medical Journal, 32(4), 329-334 https://doi.org/10.5001/omj.2017.62

Sharma, G. (2014). Effects of demographic variables on psychological well-being and quality of life. International Journal of Social Science & Humanities Research, 2(3), 290-298 www.researchpublish.com

Tough, H., Siegrist, J., & Fekete, C. (2017). Social relationships, mental health and wellbeing in physical disability: A systematic review. BMC Public Health, 17(1), 414-. https://doi.org/10.1186/s12889-017-4308-6

Wiggins, R. D., Higgs, P. F. D., Hyde, M., Blane, D. B. (2004). Quality of life in the third age: Key predictors of the CASP-19 measure. Aging & Society, 24, 693-708.