MODERATING ROLE OF FAMILY ON THE RELATIONSHIP BETWEEN PSYCHOSOCIAL FACTORS AND THE DEVELOPMENT OF BOY CHILD IN KENYA
Abstract
The main objective of this research was to examine the moderating role of family on the relationship between psychosocial factors and the development of boychild in child in Kenya. The study used an explanatory research design, with all 10,463 Kenyan public secondary schools serving as the unit of study. The target population unit of analysis was all the 3,500,000 students, 113,200 teachers, 10,463 principals, 3,400,000 parents, 14 heads of mental health hospitals, 129 heads of prisons, and 47 county education officers respectively in Kenya. Stratified-Systematic sampling and purposive sampling were used to identify a sample size of 1,682 respondents selected using the Krejcie and Morgan Table formula. This study employed a mixed-method research approach to collect and analyze both qualitative and quantitative data. The coefficients for psychosocial factors and family dynamics provide further insights. Psychosocial factors exhibit a stronger influence, with a higher unstandardized coefficient (B) of 0.48 compared to 0.15 for family dynamics. This indicates that, for every one-unit increase in psychosocial factors, there is a more pronounced corresponding increase in boy child development compared to family dynamics. However, both predictors are statistically significant (p< 0.05), underscoring their importance in predicting boy child development. In the second model (Model 2), the coefficients explore the combined effect of psychosocial factors and family dynamics, including their interaction. The constant term remains the same, but the coefficient for the interaction between psychosocial factors and family is introduced. This coefficient of 0.08 suggests a relatively smaller effect of the interaction on boy child development compared to the individual effects of psychosocial factors and family dynamics. However, it is still statistically significant (p < 0.05), indicating that the interaction between psychosocial factors and family dynamics contributes to the prediction of boy child development. The findings from this study offer valuable insights for policymakers and implementers in addressing critical gender disparities and enhancing the development and performance of boys. This has broader implications for achieving the Sustainable Development Goals (SDGs), Africa Vision 2050, and Kenya Vision 2030.
Keywords: Psychosocial factors, cognitive development, and social integration.
References
Adams-Ojugbele, R. and Mashiya, N. (2020). Interventions supporting the integration of refugee children in the primary school life: roles of the child’s contexts of development. The Journal for Transdisciplinary Research in Southern Africa, 16(1). https://doi.org/10.4102/td.v16i1.769
Adigun, O. and Ndwandwe, N. (2022). Academic resilience among deaf learners during e-learning in the covid-19 era. Research in Social Sciences and Technology, 7(2), 27-48. https://doi.org/10.46303/ressat.2022.8
Ahumada-Newhart, V. and Eccles, J. (2020). A theoretical and qualitative approach to evaluating children’s robot-mediated levels of presence. Technology Mind and Behavior, 1(1). https://doi.org/10.1037/tmb0000007
Almas, A., Papp, L., Woodbury, M., Nelson, C., Zeanah, C., & Fox, N. (2018). The impact of caregiving disruptions of previously institutionalized children on multiple outcomes in late childhood. Child Development, 91(1), 96-109. https://doi.org/10.1111/cdev.13169
Andersen, L., Høgh, A., Biering, K., & Gadegaard, C. (2018). Work-related threats and violence in human service sectors: the importance of the psycho-social work environment examined in a multilevel prospective study. Work, 59(1), 141-154. https://doi.org/10.3233/wor-172654
Balducci, C., Rafanelli, C., Menghini, L., & Consiglio, C. (2024). The relationship between patients’ demands and workplace violence among healthcare workers: a multilevel look focusing on the moderating role of psychosocial working conditions. International Journal of Environmental Research and Public Health, 21(2), 178. https://doi.org/10.3390/ijerph21020178
Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
Bolger, A., Dunstan, D., & Kaltner, M. (2018). A conceptual model of psychosocial adjustment of foster care adoptees based on a scoping review of contributing factors. Clinical Psychologist, 22(1), 3-15. https://doi.org/10.1111/cp.12090
Bronfenbrenner, U. (2005). Making human beings human: Bioecological perspectives on human development. SAGE Publications.
Cassells, R. and Evans, G. (2020). Concepts from the bioecological model of human development., 221-232. https://doi.org/10.1037/0000187-010
Comaskey, B., Roos, N., Brownell, M., Enns, M., Château, D., Ruth, C., … & Ekuma, O. (2017). Maternal depression and anxiety disorders (mdad) and child development: a manitoba population-based study. Plos One, 12(5), e0177065. https://doi.org/10.1371/journal.pone.0177065
Currie, R., Anderson, V., McCarthy, M., Burke, K., Hearps, S., & Muscara, F. (2018). Parental distress in response to childhood medical trauma: a mediation model. Journal of Health Psychology, 25(10-11), 1681-1691. https://doi.org/10.1177/1359105318770728
Dong, C., Wu, Q., Pan, Y., Yan, Q., Ru, X., & Ruikang, Z. (2021). Family resilience and its association with psychosocial adjustment of children with chronic illness: a latent profile analysis. Journal of Pediatric Nursing, 60, e6-e12. https://doi.org/10.1016/j.pedn.2021.02.010
Drago, F., Scharf, R., Maphula, A., Nyathi, E., Mahopo, T., Svensen, E., … & McQuade, E. (2020). Psychosocial and environmental determinants of child cognitive development in rural South Africa and Tanzania: findings from the mal-ed cohort. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-08598-5
Etkin‐Spigelman, L., Hancock, K., Nathan, P., & Barrera, M. (2021). Sharing psychosocial risk screening information with pediatric oncology healthcare providers: service utilization and related factors. Pediatric Blood & Cancer, 69(2). https://doi.org/10.1002/pbc.29456
Faleschini, S., Rifas‐Shiman, S., Tiemeier, H., Oken, E., & Hivert, M. (2019). Associations of prenatal and postnatal maternal depressive symptoms with offspring cognition and behavior in mid-childhood: a prospective cohort study. International Journal of Environmental Research and Public Health, 16(6), 1007. https://doi.org/10.3390/ijerph16061007
Ge, Y., Xiao, Y., Li, M., Yang, L., Song, P., Li, X., … & Yan, H. (2023). Maladaptive cognitive regulation moderates the mediating role of emotion dysregulation on the association between psychosocial factors and non-suicidal self-injury in depression. Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1279108
Georgiadis, A., Benny, L., Duc, L., Galab, S., Reddy, P., & Woldehanna, T. (2017). Growth recovery and faltering through early adolescence in low- and middle-income countries: determinants and implications for cognitive development. Social Science & Medicine, 179, 81-90. https://doi.org/10.1016/j.socscimed.2017.02.031
Gubbels, J., Put, C., & Assink, M. (2019). Risk factors for school absenteeism and dropout: a meta-analytic review. Journal of Youth and Adolescence, 48(9), 1637-1667. https://doi.org/10.1007/s10964-019-01072-5
Hasumi, T. and Chiu, M. (2022). Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling. Scientometrics, 127(8), 4631-4654. https://doi.org/10.1007/s11192-022-04441-3
Hitzler, M., Bach, A., Köhler‐Dauner, F., Gündel, H., & Kolassa, I. (2022). Long-term consequences of childhood maltreatment among postpartum women—prevalence of psychosocial risk factors for child welfare: an independent replication study. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.836077
Isobel, S., Goodyear, M., Furness, T., & Foster, K. (2019). Preventing intergenerational trauma transmission: a critical interpretive synthesis. Journal of Clinical Nursing, 28(7-8), 1100-1113. https://doi.org/10.1111/jocn.14735
Jones, P., Pendergast, L., Schaefer, B., Rasheed, M., Svensen, E., Scharf, R., … & Murray‐Kolb, L. (2017). Measuring home environments across cultures: invariance of the home scale across eight international sites from the mal-ed study. Journal of School Psychology, 64, 109-127. https://doi.org/10.1016/j.jsp.2017.06.001
Kahn, S. and Denov, M. (2022). Transgenerational trauma in Rwandan genocidal rape survivors and their children: a culturally enhanced bioecological approach. Transcultural Psychiatry, 59(6), 727-739. https://doi.org/10.1177/13634615221080231
Kapetanovic, S., Boele, S., & Skoog, T. (2019). Parent-adolescent communication and adolescent delinquency: unraveling within-family processes from between-family differences. Journal of Youth and Adolescence, 48(9), 1707-1723. https://doi.org/10.1007/s10964-019-01043-w
Kenya National Bureau of Statistics. (2023). Economic survey 2023. Government of Kenya.
Kong, M. and Lu, Y. (2024). Learning family: concept, measurement and the effect on individuals’ behaviors. Behavioral Sciences, 14(11), 1061. https://doi.org/10.3390/bs14111061
Lähdepuro, A., Lahti‐Pulkkinen, M., Pyhälä, R., Tuovinen, S., Lahti, J., Heinonen, K., … & Räikkönen, K. (2022). Positive maternal mental health during pregnancy and mental and behavioral disorders in children: a prospective pregnancy cohort study. Journal of Child Psychology and Psychiatry, 64(5), 807-816. https://doi.org/10.1111/jcpp.13625
Loon-Dikkers, L., Luijk, M., Haan, A., & Steketee, M. (2024). Preprint emotional insecurity and psychosocial problems in children exposed to family violence: exploring the role of well-being at school. https://doi.org/10.31219/osf.io/ms4jh
Masten, A. S. (2018). Resilience theory and research on children and families: Past, present, and promise. Journal of Family Theory & Review, 10(1), 12-31. https://doi.org/10.1111/jftr.12255
Moffitt, T. E. (2019). Male antisocial behavior: A developmental taxonomy. Developmental Psychology, 55(7), 1232-1245. https://doi.org/10.1037/dev0000717
Navarro, J., Stephens, C., Rodrigues, B., Walker, I., Cook, O., O’Toole, L., … & Tudge, J. (2022). Bored of the rings: methodological and analytic approaches to operationalizing bronfenbrenner's ppct model in research practice. Journal of Family Theory & Review, 14(2), 233-253. https://doi.org/10.1111/jftr.12459
Neuhauser, A., Ramseier, E., Schaub, S., Burkhardt, S., & Lanfranchi, A. (2018). Mediating role of maternal sensitivity: enhancing language development in at‐risk families. Infant Mental Health Journal, 39(5), 522-536. https://doi.org/10.1002/imhj.21738
Nouri, K., Krauss, S., Ahrari, S., Ismail, I., & Arshad, M. (2022). Pathways to positive youth development in Malaysian undergraduate co-curricular programs: a moderated mediation model of youth voice and psychological hardiness. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.886911
Parham, W. (2019). Hiding in plain sight: discovering the promises of multicultural sport psychology., 489-508. https://doi.org/10.1037/0000123-025
Putra, I., Daly, M., & Robinson, E. (2024). Psychological well-being and the reversal of childhood overweight and obesity in the UK: a longitudinal national cohort study. https://doi.org/10.31234/osf.io/8z3vs
Putra, I., Daly, M., & Robinson, E. (2024). Psychosocial factors and the development of childhood overweight and obesity: a UK cohort study. https://doi.org/10.31234/osf.io/pbvq7
Republic of Kenya, Ministry of Health. (2022). National mental health policy 2022-2027. Government of Kenya.
Roux, T., Heinen, M., Murphy, S., & Buggy, C. (2021). A unified theoretical framework of learning theories to inform and guide public health continuing medical education research and practice. Journal of Continuing Education in the Health Professions, 41(2), 130-138. https://doi.org/10.1097/ceh.0000000000000339
Sania, A., Sudfeld, C., Danaei, G., Fink, G., McCoy, D., Zhu, Z., … & Fawzi, W. (2019). Early life risk factors of motor, cognitive and language development: a pooled analysis of studies from low/middle-income countries. BMJ Open, 9(10), e026449. https://doi.org/10.1136/bmjopen-2018-026449
Sroufe, L. A. (2019). Attachment and development: A prospective, longitudinal perspective. Journal of Developmental and Behavioral Pediatrics, 40(2), 114-119. https://doi.org/10.1097/DBP.0000000000000660
Tran, L., Nguyen, P., Young, M., Ramakrishnan, U., & Alderman, H. (2023). Home environment and nutritional status mitigate the wealth gap in child development: a longitudinal study in Vietnam. BMC Public Health, 23(1). https://doi.org/10.1186/s12889-023-15156-2
United Nations Development Programme (UNDP). (2023). Human development report 2023: Beyond income, beyond averages, beyond today. UNDP.
United Nations International Children's Emergency Fund (UNICEF). (2022). State of the world's children 2022: Children, food and nutrition. UNICEF.
Varela, A. (2021). The relationship between psychosocial factors and reported disability: the role of pain self-efficacy. https://doi.org/10.21203/rs.3.rs-736799/v1
Wijaya, S. (2022). The roles of parents teachers association in school-age children’s psychosocial development according to Erik Erikson. Edunesia Jurnal Ilmiah Pendidikan, 3(1), 45-54. https://doi.org/10.51276/edu.v3i1.215
World Health Organization. (2023). World health statistics 2023: Monitoring health for the SDGs. WHO.
Xu, Y., Liu, T., Jiang, Y., Zhao, X., Fei, M., Xu, G., … & Zhao, M. (2022). Psychosocial adaptation among inflammatory bowel disease patients and associated factors: a cross-sectional study. Psychology Research and Behavior Management, Volume 15, 2157-2167. https://doi.org/10.2147/prbm.s376254
Yeung, J. (2021). Family processes, parenting practices, and psychosocial maturity of Chinese youths: a latent variable interaction and mediation analysis. International Journal of Environmental Research and Public Health, 18(8), 4357. https://doi.org/10.3390/ijerph18084357
Zucchetti, G., Ambrogio, G., Bertolotti, M., Besenzon, L., Borghino, F., Candela, F., … & Fagioli, F. (2020). Effects of a high-intensity psychosocial intervention among child–parent units in pediatric oncology. Tumori Journal, 106(5), 362-368. https://doi.org/10.1177/0300891620926226
