Fatima Iqbal, Hashim Ali Khan, Iqra Khalil, Mawra Zahid
{"title":"体重和身高对眼压的影响","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":"{\"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. 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引用次数: 0
摘要
目的:本研究的目的是确定体重和身高对眼内压(IOP)的影响,并比较身高和体重对男女眼内压的影响。方法:采用非概率方便抽样方法,对114名未接受过高血压性青光眼糖尿病手术或药物治疗的15 ~ 30岁性别、年龄不限的受试者进行横断面研究。从2018年1月至2018年8月的7个月期间,从费萨拉巴德麦地那教学医院的眼科患者中收集的数据,时间为上午8点至下午2点。在征得同意和广泛的历史记录后收集数据。视敏度采用斯奈伦图,眼压计测量眼压,体重机测量体重,单位为公斤,身高用高尺测量,单位为英尺。数据记录在performance上。数据采用SPSS version 20检验多元线性回归分析。结果:研究个体114只,其中雄性48只(42%),雌性66只(57.9%),年龄15 ~ 30岁。采用线性多元回归检验体重、身高与眼压、性别的关系。体重与IOP的相关性显著(p<0.001), IOP平均值为17.432±3.4397,体重平均值为57.71±12.774。体重对男性的影响比女性更大。身高与每周IOP有统计学意义(p<.794),平均身高与IOP为5.306±。2159和17.432±3.4397。身高对女性IOP的影响也比男性大。结论:体重对眼压的影响大于身高。男性的身高和体重都较高,因此从性别上看,男性对IOP的影响要大于女性。在临床实践中,它可以用于测试高体重患者的IOP。
Effect of weight and height on intraocular pressure
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.