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in i*, OA0.  2017.  THE NIGERIAN NATIONAL CLIMATE CHANGE COMMISSION BILL: A REVIEW. Ife Journal of International and Comparative Law . Vol.3 (1):96-108.commissionbill.pdf
I.K, O, A.T. A, A.O. O, O. F, O.O A.  2009.  Multiple Startup Scheme for TCP. Computer Science and its Applications. 16abstract21.docx
Ibigbami, O, Dominic U, Eegunranti A, Mapayi B, Olutayo A, Akinsulore A, Opakunle T.  2019.  Caregiver Burden and Religious Coping in Caregivers of Patients with Major Mental Disorders: A Comparative Study, 2019/04/17. Abstract

Background: Family caregivers of people living with mental illness use religious coping strategies to cope with the burden of caring for their relatives.Objectives: To compare caregiver burden and religious coping and their interactions in caregivers of patients living with schizophrenia and bipolar affective disorder.
Methods: Caregivers of psychiatric patients, Schizophrenia (N=100) and Bipolar Affective Disorder (BAD) (N=100) were assessed for caregiver burden with the Burden Interview Schedule and religious coping with the Ways of Religious Coping Scale.
Results: The total burden level was higher in caregivers of schizophrenia patients than caregivers of BAD patients (t=3.53; p=0.001). The caregivers were found to use more of the internal ways of religious coping than the external ways of religious coping, while religious coping was significantly higher among the caregivers of schizophrenia patients (t=2.56; p=0.001). Predictors of the burden for both groups of caregivers were the number of previous admissions of the patient and depression in the caregivers while the duration of illness was a significant predictor of caregiver burden for bipolar affective disorder patients only. Age of onset of the illness and anxiety level were significant predictors of religious coping in both groups of caregivers, while the age of caregiver was an independent predictor of religious coping for only caregivers of BAD patients.
Conclusion: In spite of the potentials of religious coping as a coping strategy in stress, its application needs to be properly defined to determine who will benefit from what.

Ibigbami, O, Akinsulore A, Aloba O, Mapayi B, Adewuya A, Olowookere SA, Ibigbami A.  2019.  Personality traits and related factors in risky sexual behaviour among an undergraduate student population in Southwestern Nigeria. Gender and Behaviour. 17:14464–14479., Number 4: IFE Centre for Psychological Studies (ICPS) Abstract

Differences in personality traits have been shown to determine variable propensities for sexual risk-taking. No study has examined the relationship between risky sexual behavior (RSB) and personality traits in undergraduate student populations in southwestern Nigeria. The objective of this study was to determine the relationship between personality traits and RSB in an undergraduate student population in Nigerian. A total of 385 students (204 males and 181 females) of a university in Southwestern Nigeria were recruited adopting a multistage, stratified, systematic sampling technique. The study participants completed a semi-structured socio-demographic questionnaire, the Big Five Inventory, the Alcohol Use Disorders Identification Test and the Sexual Risk Survey Questionnaire. Personality traits with significant negative correlations with RSB were Conscientiousness (r =-0.186, P = 0.001) and Agreeableness (r =-0.137, P= 0.011). Extraversion personality trait had significantly positive correlation with RSB (r = 0.109, P = 0.047). Binary logistic regression analysis revealed that the factors independently associated with RSB were alcohol use (OR = 9.4, 95%CI = 1.87-47.41, p = 0.001), tribe (OR = 2.6, 95%CI = 1.12-5.97, p = 0.025), dating status (OR = 4.3, 95%CI = 2.34-8.02, p<0.001) and the quality of relationship with the first sexual partner (OR = 0.22, 95%CI = 0.107-0.405, P<0.001). None of the personality traits reached statistical significance at the level of regression analysis. Effective control of RSB among this study population can be achieved by focusing on the control of alcohol use and supporting young adults who are interested in dating relationships.

Ibigbami, O, Egunranti A, Akinsulore A, Olowookere S, Adebukola I.  2015.  Patients Satisfaction with Nursing Care in a Maternity Unit in South-Western Nigeria: Relationship with Self Esteem, 2015/03/01. 23:176-183. Abstract

The purpose of health care institution is to satisfy the health care needs of their patients. Measuring patient satisfaction has improved services provided by health care institutions. Among factors that influence patient satisfaction, self-esteem of the clients has not received much attention in research. The aim of this study was to assess patient satisfaction with nursing care in a maternity unit and its relationship with self-esteem. A descriptive cross-sectional study in which 100 women were interviewed at the immunization clinic of the Wesley Guild Hospital within six weeks post-delivery. Respondents completed socio-demographic questionnaire, the modified La Monica-Oberst Patient Satisfaction Scale (LAOPSS) and the Rosenberg Self Esteem Scale. The mean age of respondents was 29.9 years while mean satisfaction score was 97.98 (SD-15.3; Range-79) with mean self-esteem being 30.15 (SD-6.59; Range-38). Factors associated with higher levels of patient satisfaction were having tertiary education, having 1-3 children, being employed, higher income, higher levels of self-esteem and longer duration of hospital stay. Predictors of patient satisfaction were self-esteem and duration of hospital stay. Self-esteem of women has a strong influence on their satisfaction with nursing care in maternity units. Measures towards enhancing their understanding of the care given to them and promoting their self-esteem are strong components of improving their satisfaction with nursing careKeywords: Patient satisfaction, Self-esteem, Nursing care, Maternity

Ibikunle, GF, Adebajo AC, Famuyiwa FG, Aladesanmi AJ, Adewunmi CO.  2011.  IN-VITRO EVALUTION OF ANTI-TRICHOMONAL ACTIVITIES OF EUGENIA UNIFLORA LEAF.. Afr. J. Trad. CAM. Vol. 8(2):170-176.
Ibrahim, A, Arogundade FA, Sanusi AA, Ikem RT, Akintomide AO, A.A A.  2009.  Which factors actually influence the development and progression of overt nephropathy in Nigerian diabetics? Central African Journal of Medicine. 55:28-34..
Idehen, EE, Olasupo MO, Adebusuyi AS.  2013.  Post-traumatic Stress Syndromes among Victims of the Ife/Modakeke Crisis. Research on Humanities and Social Sciences. 3(5):104-108.
Idigbe, EO, Odutolu O, Okonkwo P, Folayan MO, Uwakwe CBR, Audu R, Jolayemi OM, Orisagbemi M.  2006.  Evaluation of the Nigerian national antiretroviral (ARV) Treatment Training Programme . Journal of Social Aspect of HIV/AIDS Research Alliance . 3(3):488-502 .
Idoko, J, Folayan MO, Dadem NY, Kolawole GK, Anenih J, Alhassan E.  2015.  Why should I take drugs for your infection?" Outcomes of formative research on the use of HIV pre-exposure prophylaxis in Nigeria BMC Public Health . 15(1):349.doi:10.1186/s12889-015-1690-9..
Idoko, J, Folayan MO.  2014.  The use of antiretroviral therapy for the prevention of new HIV infection in populations at high risk for HIV sero-conversion in Nigeria. African Journal of Reproductive Health . 18(3):127-134.
Idowu, PA, JA B, NC E, FO A, PD M.  2017.  Information Technology Infusion Model for Agricultural Sector in Nigeria. Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology . 5(3):59-78.
Idowu, PA, BL A, OB A.  2015.  Data Model for Road Traffic Accident in Nigeria. . African Journal of Computing & ICTs. 8(2):67-76.
Idowu, PA, Olajubu EA, Aderounmu GA, Adagunodo GA.  2007.  Wireless Data Processing Model in Hospital Environment: A Case Study of Obafemi Awolowo University Teaching Hospital. Biomedical fuzzy and human sciences. 12(1):23-27.
Idowu, AA.  2012.  "Security Laws and Challenges in Nigeria: The Boko Haram Insurgency".. Journal of Law and Security Studies, Tailor and Francis, London. Vol. 4:71-91.
Idowu, PA, Aladekomo TA, K.O.Williams, Balogun JA.  2015.  Prediction Model for Likelihood of Survival of Sickle-Cell Anaemia (SCA) among Paediatric Patients using Fuzzy Logic. Transactions on Networks and Communications. 3(1):31-44.
Idowu, PA.  2017.  Predictive Model for the Classification of Hypertension Risk Using Decision Trees Algorithm. American Journal of Mathematical and Computer Modelling. 2(2):48-59.
Idowu, PA, Adagunodo ER, Idowu AO.  2005.  Empirical Study On Information & Communication Technology and Youth in a Developing Country: Nigeria as a Case. International Journal of Information Technology & Decision Making. 4(2):297-309.
Idowu, AP, Adagunodo ER, Esimai OA.  2012.  Development of a Web Based Environmental Health Tracking System for Nigeria. International Journal of Information Technology and Computer Science. 4(7):61-71.