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INTRODUCTION: Intraocular pressure changes have been reported following the various cataract surgical technique. This study aims to compare the intra-ocular pressure (IOP) variation following conventional extra-capsular cataract extraction (ECCE), manual small incision cataract surgery (MSICS) and phacoemulsification in an indigenous black population. METHODS: a comparative cross-sectional study of adult patients aged 40 years and above who had pressure was measured with Goldman´s applanation tonometer pre-operatively and 1stday, 1st week, 1st month as well as 3rd month post-operative periods and recorded. Data was analyzed using SPSS version 21. Mean IOP changes between study groups were compared using ANOVA. P-value of 0.05 was taken as statistically significant. RESULTS: total of 82 patients consisting of 20(24.4%) ECCE, 32(39%) MSICS and 30(36.6%) phacoemulsification with mean preoperative 13.4mmHg, 13.5mmHg and 14.1 mmHg (p = 0.657) respectively was studied. Mean IOP increased from baseline at 1st sup day post-operative period in the ECCE and MSICS groups (13.4 ± 3.0mmHg to 13.7 ± 4.5mmHg (p = 0.84) and 13.5 ± 3.1mmHg to 15.3 ± 5.1mmHg (P = 0.48) respectively), and decrease in the phacoemulsification group (14.1 ± 2.6mmHg to 13.9 ± 3.5mmHg (p = 0.378). There was a decline in IOP in all the 3 study groups by one week post-operative period; the difference was significant only in the ECCE group (p = 0.032). By 3rd month postoperatively, there was a reduction in mean IOP when compared with pre-operative IOP the difference being greatest in the ECCE group. CONCLUSION: ECCE, MSICS, and Phacoemulsification cause a decline in IOP below preoperative levels at 3rd month postoperatively in the MSICS group.

Purpose: The study aimed at determining the associations between ocular biometry and anthropometric measurements in a Nigerian adult population. Subjects and Methods: Participants were healthy members of staff and students of Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife. The height and weight were measured, and the body mass index (BMI) was calculated. Ocular axial length (AL), anterior chamber depth (ACD), keratometric readings (K) and corneal radius of curvature were measured with the IOL Master. Data were analysed with SPSS version 16 (IBM Corporation), and associations between ocular biometric variables and anthropometric measurements were explored. Results: Three hundred and fifty healthy participants aged 18–60 years (mean age: 34.8 ± 11.2 years) were enrolled. Height was significantly positively correlated with AL (r = 0.37, P< 0.01) and ACD (r = 0.17, P = 0.01) and negatively correlated with K (r = −0.28, P< 0.01). A significant positive correlation was found between weight and AL (r = 0.13, P = 0.02) while the BMI was only negatively correlated with ACD (r = −0.11, P = 0.04). In multivariate analysis, the relationship between height and AL (R2 = 0.58, P< 0.01) as well as ACD (R2= 0.11, P< 0.01) persisted. The relationship between weight and AL and that between BMI and ACD were totally abolished after controlling for age and height. Conclusion: The body height is independently associated with ocular AL and ACD while the body weight and BMI are not independently associated with any of the ocular biometric indices studied.