Fatima Iqbal, Hashim Ali Khan, Iqra Khalil, Mawra Zahid
{"title":"Effect of weight and height on intraocular pressure","authors":"Fatima Iqbal, Hashim Ali Khan, Iqra Khalil, Mawra Zahid","doi":"10.15406/aovs.2019.09.00342","DOIUrl":null,"url":null,"abstract":"Purpose: Purpose of this study is to determine the effect of weight and height on intraocular pressure (IOP) and to compare effect of height and weight on IOP in males and females. Methodology: This cross-sectional study was carried on 114 subjects through non-probability convenient sampling technique, both gender and age ranging from 15 to 30years who had not undergone any ocular surgery or medical treatment for hypertension glaucoma diabetes. The data collected from the patients at the department of ophthalmology during time of 8am-2pm in Madinah teaching hospital, Faisalabad in duration of 7months from January 2018 to August 2018. Data was collected after taking consent and extensive history. Visual acuity was tested by using Snellen chart and IOP measured by Air puff tonometer and weight measured by weight machine in Kgs and Height measured by Hight scale in feet. Data was noted on Performa. Data was analyzed by using test multiple linear regressions by using SPSS version 20. Result: Total number of studied individuals were 114, 48(42%) males and 66(57.9%) females with age ranges from 15-30 years. Weight and Height was measured and tested relation with IOP and gender by using Linear multiple regression test. Analysis shows that relation of weight and IOP is significant (p<0.001) with mean of IOP 17.432±3.4397 and weight 57.71±12.774. Weight is more affected the males then females statistically. Height and IOP weekly related statistically (p<.794) with mean of height and IOP 5.306±.2159 and 17.432±3.4397. Height is also weekly affect IOP in females then males. Conclusion: The weight is strongly affecting the IOP then height. Males have larger height and high weight so they affect the IOP more than females according to gender. In clinical practice it can allow to test IOP in highly weighted patients.","PeriodicalId":287670,"journal":{"name":"Advances in Ophthalmology & Visual System","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Ophthalmology & Visual System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/aovs.2019.09.00342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Purpose of this study is to determine the effect of weight and height on intraocular pressure (IOP) and to compare effect of height and weight on IOP in males and females. Methodology: This cross-sectional study was carried on 114 subjects through non-probability convenient sampling technique, both gender and age ranging from 15 to 30years who had not undergone any ocular surgery or medical treatment for hypertension glaucoma diabetes. The data collected from the patients at the department of ophthalmology during time of 8am-2pm in Madinah teaching hospital, Faisalabad in duration of 7months from January 2018 to August 2018. Data was collected after taking consent and extensive history. Visual acuity was tested by using Snellen chart and IOP measured by Air puff tonometer and weight measured by weight machine in Kgs and Height measured by Hight scale in feet. Data was noted on Performa. Data was analyzed by using test multiple linear regressions by using SPSS version 20. Result: Total number of studied individuals were 114, 48(42%) males and 66(57.9%) females with age ranges from 15-30 years. Weight and Height was measured and tested relation with IOP and gender by using Linear multiple regression test. Analysis shows that relation of weight and IOP is significant (p<0.001) with mean of IOP 17.432±3.4397 and weight 57.71±12.774. Weight is more affected the males then females statistically. Height and IOP weekly related statistically (p<.794) with mean of height and IOP 5.306±.2159 and 17.432±3.4397. Height is also weekly affect IOP in females then males. Conclusion: The weight is strongly affecting the IOP then height. Males have larger height and high weight so they affect the IOP more than females according to gender. In clinical practice it can allow to test IOP in highly weighted patients.