PDF(Pubmed)
Abstract：
UNASSIGNED: To determine macular pigment (MP) density scores in healthy Indians and examine correlations with demographic and lifestyle variables.
UNASSIGNED: We observed 484 Indians without an ocular pathology. Body mass index (BMI) and self-reported lifestyle factors (sunglasses usage, physical activity, and smoking) were noted. MP density was assessed as the threshold of perception of the shadow of their macular pigments on their retina using a new MP assessment tool (MP-eye). Lutein and zeaxanthin intake was assessed using a prevalidated questionnaire regionally designed for the Indian diet. Clusters of participants were created for statistical analysis based on MP-eye scores secondarily to detect any relevant effects in very low, low, medium, and high ranges of MPs.
UNASSIGNED: Data analyzed included 235 males and 249 females with mean age of 36.1 ± 12.9 years (range, 14-72). The median MP-eye score was 6 (range, 0-10, with 10 being high). Most were non-smokers (413, 85.3%) and did not use sunglasses (438, 90.5%), and 314 (64.9%) had low physical activity. Diabetes was present in 62 participants (12.8%) and hypertension in 53 (10.9%). Advancing age (r = -0.209; P < 0.000) and BMI (r = -0.094; P = 0.038) had weak negative correlation with MP-eye scores. Hypertension was less prevalent (7/88) in the cluster with the highest median MP-eye score (P = 0.033). Dietary intake of MPs and other lifestyle factors did not correlate significantly with MP-eye score overall or when analyzed in clusters.
UNASSIGNED: MP-eye scores of an Indian population were normally distributed. Higher age, high BMI, and presence of hypertension were weakly associated with lower MP-eye scores. The impact of diet on MPs requires further evaluation.
UNASSIGNED: This normative regional database enables risk stratification of macular degeneration.
UNASSIGNED: We observed 484 Indians without an ocular pathology. Body mass index (BMI) and self-reported lifestyle factors (sunglasses usage, physical activity, and smoking) were noted. MP density was assessed as the threshold of perception of the shadow of their macular pigments on their retina using a new MP assessment tool (MP-eye). Lutein and zeaxanthin intake was assessed using a prevalidated questionnaire regionally designed for the Indian diet. Clusters of participants were created for statistical analysis based on MP-eye scores secondarily to detect any relevant effects in very low, low, medium, and high ranges of MPs.
UNASSIGNED: Data analyzed included 235 males and 249 females with mean age of 36.1 ± 12.9 years (range, 14-72). The median MP-eye score was 6 (range, 0-10, with 10 being high). Most were non-smokers (413, 85.3%) and did not use sunglasses (438, 90.5%), and 314 (64.9%) had low physical activity. Diabetes was present in 62 participants (12.8%) and hypertension in 53 (10.9%). Advancing age (r = -0.209; P < 0.000) and BMI (r = -0.094; P = 0.038) had weak negative correlation with MP-eye scores. Hypertension was less prevalent (7/88) in the cluster with the highest median MP-eye score (P = 0.033). Dietary intake of MPs and other lifestyle factors did not correlate significantly with MP-eye score overall or when analyzed in clusters.
UNASSIGNED: MP-eye scores of an Indian population were normally distributed. Higher age, high BMI, and presence of hypertension were weakly associated with lower MP-eye scores. The impact of diet on MPs requires further evaluation.
UNASSIGNED: This normative regional database enables risk stratification of macular degeneration.
摘要：
■确定健康印度人的黄斑色素（MP）密度得分，并检查与人口统计学和生活方式变量的相关性。
■我们观察到484名没有眼部病理的印度人。身体质量指数(BMI)和自我报告的生活方式因素(太阳镜的使用，身体活动,和吸烟）被注意到。使用新的MP评估工具（MP-eye）评估MP密度，作为其视网膜上黄斑色素阴影的感知阈值。使用针对印度饮食设计的预先验证的问卷评估叶黄素和玉米黄质的摄入量。根据MP-eye评分其次创建了参与者集群进行统计分析，以检测非常低的任何相关影响，低,中等,和高范围的议员。
■分析的数据包括235名男性和249名女性，平均年龄为36.1±12.9岁（范围，14-72).中位MP眼评分为6分(范围，0-10，其中10为高）。大多数是非吸烟者（413，85.3％）和不使用太阳镜（438，90.5％），314（64.9%）的体力活动较低。62例（12.8%）有糖尿病，53例（10.9%）有高血压。年龄（r=-0.209；P<0.000）和BMI（r=-0.094；P=0.038）与MP眼评分呈弱负相关。在MP眼评分中位数最高的集群中，高血压的患病率较低（7/88）（P=0.033）。MP和其他生活方式因素的饮食摄入量与MP-眼评分整体或成组分析时没有显着相关。
■印度人口的MP眼得分呈正态分布。年龄较高,高BMI,高血压的存在与较低的MP眼评分弱相关.饮食对国会议员的影响需要进一步评估。
■这个规范的区域数据库可以实现黄斑变性的风险分层。
■我们观察到484名没有眼部病理的印度人。身体质量指数(BMI)和自我报告的生活方式因素(太阳镜的使用，身体活动,和吸烟）被注意到。使用新的MP评估工具（MP-eye）评估MP密度，作为其视网膜上黄斑色素阴影的感知阈值。使用针对印度饮食设计的预先验证的问卷评估叶黄素和玉米黄质的摄入量。根据MP-eye评分其次创建了参与者集群进行统计分析，以检测非常低的任何相关影响，低,中等,和高范围的议员。
■分析的数据包括235名男性和249名女性，平均年龄为36.1±12.9岁（范围，14-72).中位MP眼评分为6分(范围，0-10，其中10为高）。大多数是非吸烟者（413，85.3％）和不使用太阳镜（438，90.5％），314（64.9%）的体力活动较低。62例（12.8%）有糖尿病，53例（10.9%）有高血压。年龄（r=-0.209；P<0.000）和BMI（r=-0.094；P=0.038）与MP眼评分呈弱负相关。在MP眼评分中位数最高的集群中，高血压的患病率较低（7/88）（P=0.033）。MP和其他生活方式因素的饮食摄入量与MP-眼评分整体或成组分析时没有显着相关。
■印度人口的MP眼得分呈正态分布。年龄较高,高BMI,高血压的存在与较低的MP眼评分弱相关.饮食对国会议员的影响需要进一步评估。
■这个规范的区域数据库可以实现黄斑变性的风险分层。
