Patterns of Sexually Transmitted Infections in Patients Presenting in Special Treatment Clinic in Ibadan South Western Nigeria

Sexually transmitted infections (STIs) are infections that are often transferred from one person to another during sexual activity. In developing countries, an increase in the incidence of STIs is attributed to increasing urbanization, modernization, travel, education and exposure to Western media which has led to increased sexual activity, especially among young people.

This is a retrospective study carried out in the University College Hospital (UCH) Ibadan, Nigeria. The records of a total of 506 patients who attended the clinic between Jan 2010-Dec 2011 were retrieved. The records of the patients’ complaints were taken. Detailed demographic data and history of genital symptoms was taken.

The records of 506 patients were used 43.7% (221) were males and 56.3% (285) were females. The patient's age ranged from one to eighty, the 1-10 age groups and the 71-80 ages were the least represented age group. Age, sex, level of education, presenting complaints, presence of yeast cells, VDRL positivity were variables that were looked at. Of these only sex and occupation were risk factors for transmission of STI.

Good clinical care for patients with STIs should extend beyond therapy and include help to avoid future infections. Control activities should focus on the primary prevention of infection through safer sexual practices. Strategies for improving secondary prevention (health care-seeking behavior and case management) should include identification of people at risk and targeting them for intervention.

Table 4

Relationship between occupation and diagnosis

Occupation	Genital Ulcer Disease	Genital Warts	Gonorrhea	Non Gonococcal urethritis	Bacterial vaginosis	Candidiasis	Pelvic Inflammatory disease	Tinea
Student	11(18%)	27(36%)	7(41.2%)	8(34.8%)	6(33.3%)	29(31.5%)	10(30%)	2(16.7%)
Corpers	3(18%)	5(6.7%)	(0%)	3(13%)	0(0%)	2(2.2%)	0(0%)	0(0%)
Self employed	21(34.4%)	18(24%)	5(29.4%)	7(30.4%)	5(27.8%)	32(34.8%)	11(33.3%)	6(50%)
Commercial sex workers	0(0%)	0(0%)	0(0%)	0(0%)	1(5.6%)	0(0%)	0(0%)	0(0%)
Unemployed	8(13.1%)	13(17.3%)	2(11.8%)	0(0%)	2(11.1%)	7(11.1%)	3(9.1%)	2(8.3%)
Civil servant	15(24.6%)	12(16%)	2(11.8%)	4(17.4%)	4(22.2%)	22(23.9%)	9(27.3%)	1(8.3%)
Drivers	1(1.6%)	0(0%)	0(0%)	1(4.3%)	0(0%)	0(0%)	0(0%)	1(8.3%)

X = 0.017. The above is a frequency table showing the relationship between occupation and diagnosis

Full article at:  http://goo.gl/aXCxQv

By: Victor Ugochukwu Nwadike,1,& Olawale Olusanya,2 Gloria Chinenye Anaedobe,3 Iche Kalu,4 and Kingsley Chiedozie Ojide5

¹Department of Pathology, Federal Medical Centre (FMC) Abeokuta, Ogun State, Nigeria

²Medical Microbiology, Pathcare Nigeria, Lagos, Lagos State, Nigeria

³Special Treatment Clinic, Department of Medical Microbiology, University College Hospital Ibadan, Oyo State, Nigeria

⁴Department of Medical Microbiology, Federal Medical Centre, Umuahia, Abia State

⁵Department of Medical Microbiology, Federal Teaching Hospital Abakaliki, Ebonyi State

^&Corresponding author: Victor Ugochukwu Nwadike, Department of Pathology, Federal Medical Centre (FMC) Abeokuta, Ogun State, Nigeria

  

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