|Neuroretinal rim area and body mass index.|
|Jump to Full Text|
|PMID: 22253892 Owner: NLM Status: MEDLINE|
|PURPOSE: To examine associations between neuroretinal rim area, pressure related factors and anthropometric parameters in a population-based setting.
METHODS: The population-based cross-sectional Beijing Eye Study 2006 included 3251 subjects with an age of 45+ years. The participants underwent a detailed ophthalmic examination. Exclusion criteria for our study were high myopia of more than -8 diopters and angle-closure glaucoma.
RESULTS: The study included 2917 subjects with a mean age of 59.8±9.8 years (range: 45-89 years). Mean neuroretinal rim area was 1.97±0.38 mm², mean intraocular pressure 15.6±3.0 mmHg, mean diastolic blood pressure 79.0±5.9 mm Hg, mean systolic blood pressure 133.5±11.1 mmHg, and mean body mass index was 25.5±3.7. In univariate analysis, neuroretinal rim area was significantly associated with optic disc size, open-angle glaucoma, refractive error, age and gender. After adjustment for these parameters in a multivariate analysis, a larger neuroretinal rim area was significantly correlated with a higher body mass index (P<0.001), in addition to be associated with a lower intraocular pressure (P = 0.004), lower mean blood pressure (P = 0.02), and higher ocular perfusion pressure.
CONCLUSIONS: In a general population, neuroretinal rim as equivalent of the optic nerve fibers is related to a higher body mass index, after adjustment for disc area, refractive error, age, gender, open-angle glaucoma, intraocular pressure, blood pressure and ocular perfusion pressure. Since body mass index is associated with cerebrospinal fluid pressure, the latter may be associated with neuroretinal rim area. It may serve as an indirect hint for an association between cerebrospinal fluid pressure and glaucoma.
|Liang Xu; Ya X Wang; Shuang Wang; Jost B Jonas|
|Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2012-01-09|
|Title: PloS one Volume: 7 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2012|
|Created Date: 2012-01-18 Completed Date: 2012-05-29 Revised Date: 2013-06-26|
Medline Journal Info:
|Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States|
|Languages: eng Pagination: e30104 Citation Subset: IM|
|Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing, China. firstname.lastname@example.org|
|APA/MLA Format Download EndNote Download BibTex|
Aged, 80 and over
Body Mass Index*
Intraocular Pressure / physiology
Retina / anatomy & histology*, physiology
Journal ID (nlm-ta): PLoS One
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Publisher: Public Library of Science, San Francisco, USA
Xu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Received Day: 17 Month: 10 Year: 2011
Accepted Day: 13 Month: 12 Year: 2011
collection publication date: Year: 2012
Electronic publication date: Day: 9 Month: 1 Year: 2012
Volume: 7 Issue: 1
E-location ID: e30104
PubMed Id: 22253892
Publisher Id: PONE-D-11-20334
|Neuroretinal Rim Area and Body Mass Index Alternate Title:Neuroretinal Rim and Body Mass Index|
|Ya X. Wang1|
|Jost B. Jonas12*|
1Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing, China
2Department of Ophthalmology, Faculty of Clinical Medicine Mannheim, University of Heidelberg, Mannheim, Germany
|Institute Biomedical Research August Pi Sunyer (IDIBAPS) - Hospital Clinic of Barcelona, Spain
|Correspondence: * E-mail: email@example.com (LX); Jost.Jonas@augen.ma.uni-heidelberg.de (JBJ)
Contributed by footnote: Conceived and designed the experiments: LX YXW SW JBJ. Performed the experiments: LX YXW SW JBJ. Analyzed the data: LX YXW SW JBJ. Contributed reagents/materials/analysis tools: LX JBJ. Wrote the paper: LX YXW SW JBJ.
The neuroretinal rim is the intrapapillary equivalent of the optic nerve fibers. It is one of the most important morphologic parameters to detect glaucomatous optic neuropathy and to grade the amount of glaucomatous optic nerve damage . Numerous hospital-based studies have shown the association between a loss of neuroretinal rim and the height of intraocular pressure in patients with glaucoma –. The population-based Baltimore Eye Survey and the Early Manifest Glaucoma Trial revealed correlations between a smaller size of the neuroretinal rim and a higher level of intraocular pressure in large non-hospital based populations , . Other studies have suggested that pressure parameters others than intraocular pressure also have an influence on the neuroretinal rim size. These pressure parameters included the arterial blood pressure and the ocular perfusion pressure as a combination of blood pressure and intraocular pressure –. Recent studies have added a new parameter, the cerebrospinal fluid pressure, to the list of pressure related variables with a potential influence on the optic nerve and the development of glaucomatous optic neuropathy –. In view of these new findings, we conducted our study to examine in the unselected large sample of a population-based investigation whether the neuroretinal rim, besides to be correlated with intraocular pressure, is additionally associated with the other pressure parameters mentioned above. Since a direct measurement of the cerebrospinal fluid pressure is invasive and since the cerebrospinal fluid pressure is associated with the body mass index , , we took the body mass index as surrogate for the cerebrospinal fluid pressure. The results of the study could be helpful to further elucidate whether and to which extent the pressure related parameters are associated with the neuroretinal rim, and due to the association between neuroretinal rim area and glaucoma, to indirectly elucidate whether the pressure related parameters are associated with glaucomatous optic neuropathy.
The Medical Ethics Committee of the Beijing Tongren Hospital approved the study protocol, and all participants provided informed consent.
The population-based Beijing Eye Study 2006 was the follow-up study of the Beijing Eye Study 2001. In brief, at baseline in 2001, 4439 subjects of 5324 eligible individuals were included. At the follow-up study in 2006, 3251 subjects (1838 women) participated, corresponding to a response rate of 73.2%. The rural part of the study in 2006 consisted of 1500 (46.1%) subjects and the urban part of 1751 (53.9%) subjects. Mean age was 60.4±10.0 years (range, 45 – 89 years). The study design has been described in detail previously , . In the study of 2006, a comprehensive eye examination was carried out, including visual acuity assessment, frequency doubling perimetry (screening program C-20-1; Zeiss-Humphrey, Dublin, CA), noncontact tonometry (CT-60 computed tonometer, Topcon Ltd., Tokyo, Japan), slit-lamp examination of the external eye and anterior segment, and photography of the lens (Neitz CT-R camera, Neitz Instruments Co., Tokyo, Japan), the macula and the optic disc (CR6-45NM, Canon Inc. Tokyo, Japan). All examinations were carried out in the communities, either in schoolhouses or in community houses. The blood pressure was measured with the participant sitting for at least 5 min. The study participants had refrained from smoking and drinking of coffee, tea, or alcohol for at least 3 h. In addition, any exercise was not performed for the last 30 min prior to the blood pressure measurements. A standardized mercury sphygmomanometer was used, and the cuff size was chosen according to the measured circumference of the upper arm. Arterial hypertension was defined as a systolic blood pressure ≥140 mm Hg and/or a diastolic blood pressure ≥90 mm Hg, and/or self-reported current treatment for arterial hypertension with antihypertensive medication. The self-reported therapy of arterial hypertension was assessed in a questionnaire which included questions on the socioeconomic and medical background. Mean arterial blood pressure was defined as “Diastolic Blood Pressure + 1/3×(Systolic Blood Pressure – Diastolic Blood Pressure)”. Ocular perfusion pressure was calculated as 2/3× (Mean Arterial Blood Pressure – Intraocular Pressure). The body height was determined in a standardized manner with the shoes routinely removed. The subjects were asked to stand upright as much as possible and with the head raised upright as much as possible. We used a stadiometer as measuring instrument. The floor was completely even. We did not take into account nor corrected age-related reductions in height of subjects who reportedly were taller during their middle-age. Additionally, we determined the body weight and calculated the body mass index as ratio of body weight (measured in kilogram) divided by the square of the body height (measured in meters).
The optic disc photographs were digitalized. The digitized optic disc photographs were measured by outlining the optic disc border on the computer screen and using a planimetric software program. As described recently , the magnification by the optic media of the eye were corrected according to Littmanńs method taking into account the refractive error. In a second step of the examination, the width of the neuroretinal rim and the diameters of the optic cup and optic disc were measured in the vertical meridian . The vertical cup / disc diameter ratio and the optic cup area were calculated. The neuroretinal rim area resulted as difference of disc area minus cup area.
Glaucoma was defined according to the criteria of the International Society of Geographic and Epidemiological Ophthalmology ISGEO . As described in detail previously , the whole glaucoma group was then differentiated by gonioscopy or anterior segment optical coherence tomography into subjects with open-angle glaucoma or subjects with angle-closure glaucoma.
Inclusion criteria for the present study were the availability of optic disc photographs and measurements of intraocular pressure, blood pressure and body mass index. We excluded patients with angle-closure glaucoma to avoid a potentially confounding effect of the marked intraocular pressure elevation by the blockage of the anterior chamber angle due to primarily intraocular causes. We also excluded all highly myopic eyes (defined as a myopic refractive error of more than -8 diopters), since high myopia is associated with a stretching of the posterior pole and a secondary enlargement of the optic disc and neuroretinal rim .
Statistical analysis was performed using SPSS (IBM-SPSS for Windows, version 19.0, SPSS, Chicago, IL). Only one randomly selected eye per subject was taken for the statistical analysis. Continuous data were presented as mean±standard deviation. Linear regression models were used to investigate the associations of the size of the neuroretinal rim with the continuous (e.g., intraocular pressure) or categorical outcomes (e.g., gender). The 95% confidence intervals (CI) are described. All P-values were 2-sided and were considered statistically significant when the values were less than 0.05.
The study included 2917 (89.7%) subjects. The mean age was 59.8±9.8 years (range: 45 – 89 years), and the mean refractive error was −0.07±1.60 diopters (range: −8.00 diopters to +7.25 diopters). Due to the exclusion criteria, the study participants as compared to the subjects not included into the study were significantly (P<0.001) less myopic (−0.07±1.60 diopters versus −2.26±5.25 diopters), and they were significantly (P<0.001) younger (59.8±9.8 years versus 65.4±11.1 years).
Mean neuroretinal rim area was 1.97±0.38 mm2, mean intraocular pressure 15.6±3.0 mmHg, mean diastolic blood pressure 79.0±5.9 mm Hg, mean systolic blood pressure 133.5±11.1 mmHg, and the mean body mass index was 25.5±3.7 kg/m2.
In univariate analysis, a larger neuroretinal rim area was significantly associated with higher age, female gender, absence of open-angle glaucoma, larger optic disc size and more hyperopic refractive error, higher body mass index, lower intraocular pressure, and lower systolic, diastolic and mean blood pressure (Table 1). It was not significantly associated with body height and weight.
We then performed a multivariate analysis which included the neuroretinal rim area as dependent variable and all parameters as independent variables for which the P-value was <0.15 in the univariate analysis. In a first step, we adjusted the neuroretinal rim area for optic disc size and refractive error, since both parameters were associated with neuroretinal rim due to the definition and calculation of rim area. We then adjusted for gender and age, since both systemic parameters were associated with neuroretinal rim area. Additionally we adjusted for the presence or absence of open-angle glaucoma, since glaucoma leads to a loss of neuroretinal rim. In a second move, we added in a stepwise manner intraocular pressure, mean blood pressure and ocular perfusion pressure, and then body mass index. It showed that, after the adjustment for optic disc area, refractive error, age, gender and presence of open-angle glaucoma, neuroretinal rim area was significantly associated with higher body mass index (P<0.001), in addition to lower intraocular pressure (P = 0.004), lower mean arterial blood pressure (P = 0.02), and marginally significantly, with higher ocular perfusion pressure (P = 0.068) (Table 2).
In this population-based study of adult Chinese, we found that with highly myopic subjects and patients with angle-closure glaucoma excluded, neuroretinal rim was significantly associated with higher body mass index. This association between larger neuroretinal rim area and higher body mass index persisted after adjustment for disc area, refractive error, age, gender, open-angle glaucoma, intraocular pressure, blood pressure and ocular perfusion pressure.
Considering a decreased neuroretinal rim area as surrogate for glaucomatous optic nerve damage, the results of our study agree with previous investigations in which a lower body mass index was associated with a higher prevalence and incidence of glaucoma . Pasquale and colleagues assessed the relationship between anthropometric measures and incident primary open-angle glaucoma in 78,777 women of the Nurses' Health Study and in 41,352 men of the Health Professionals Follow-up Study. They found that among women, a higher body mass index was associated with a lower risk of primary open-angle glaucoma with intraocular pressure readings of 21 mmHg or less at diagnosis . In the Barbados Eye Study, persons most likely to have open-angle glaucoma were older men and had a family history of open-angle glaucoma, high intraocular pressure, lean body mass, and cataract history . In a similar manner, Zheng and colleagues in the Singapore Malay Eye Study found that persons who were taller or had lower body mass index had a smaller neuroretinal rim area and a larger optic cup-to-disc area ratio . Other studies such as the investigation by Gasser and colleagues did not find clear associations between obesity and the prevalence of glaucoma . The results of our study partially contradict a recent longitudinal cohort study by Newman-Casey and colleagues . That study included more than 2 million beneficiaries with an age of ≥40 years, who were continuously enrolled in a managed care network and who had 1 or more visits to an eye care provider during the period of 2001 to 2007. Using billing codes to identify individuals with open-angle glaucoma, the authors found in a multivariable regression model, that obese women as compared with non-obese women had a 6% increased hazard of developing open-angle glaucoma (adjusted hazard ratio: 1.06 [95% confidence interval (CI): 1.02–1.10]), while obese men as compared with non-obese men had no significant increased hazard of developing open-angle glaucoma OAG (adjusted hazard ratio: 0.98 [95% CI, 0.94–1.03]).
The association between lower body mass index and smaller neuroretinal rim area (or as a corollary with a higher prevalence and incidence of glaucoma) may be explained by the association between body mass index and cerebrospinal fluid pressure , . A high body mass index through an elevated cerebrospinal fluid pressure as trans-lamina cribrosa counter pressure may compensate for an elevated intraocular pressure and thus protect against a loss of neuroretinal rim or development of glaucomatous optic neuropathy. The result of our study as well as the findings of previous investigations on associations between low body mass index and higher prevalence of open-angle glaucoma support the theory that a low cerebrospinal fluid pressure may play a role in the pathogenesis of glaucomatous optic neuropathy –.
The association between high body mass index and large neuroretinal rim area appears to be contradicted by reported associations between high body mass index and elevated intraocular pressure in arterial hypertensive patients, who, however, did not show an increased prevalence of open-angle glaucoma , . The elevated intraocular pressure in these obese patients with arterial hypertension may be compensated for by a simultaneous elevation of the cerebrospinal fluid pressure due to the physiologic correlation between cerebrospinal fluid pressure and arterial blood pressure .
Potential limitations of our study should be mentioned. First, the cross-sectional design of our study prevented inferring causality or a chronological order of changes. The temporal relationship between neuroretinal rim area and body mass index remains, therefore, uncertain. Second, as in other population-based studies that have used the ISGEO scheme to diagnose glaucoma, a small proportion of the persons with pseudonormal optic cups (e.g., minicups) and normal intraocular pressure may have been misclassified as nonglaucomatous and could thus have influenced the results of the multivariate analysis. Third, it has not universally been accepted that body mass index is correlated with cerebrospinal fluid pressure and may thus be taken as a surrogate for the cerebrospinal fluid pressure. Fourth, although the association between an increased body mass index and neuroretinal rim area was found to be statistically significant after correcting for other factors, one has to consider that in view of the relatively low regression coefficient, the strength of the relationship was not strong. Fifth, the mean body mass index with 25.5±3.7 kg/m2 was relatively high and slightly beyond the limit of overweight (globally defined as a body mass index ≥25 kg/m2) . It remains to be shown whether the association between neuroretinal rim area and body mass index as demonstrated in our study can also validated in populations with a relatively low body mass index. The strengths of our study include its large population-based design and measurement of optic disc parameters.
In summary, in our cohort of Chinese persons aged 45 to 89 years, a larger neuroretinal rim as the equivalent of a higher number of optic nerve fibers was related to higher body mass index, after adjustment for disc area, refractive error, age, gender, open-angle glaucoma, intraocular pressure, blood pressure and ocular perfusion pressure. Since body mass index is associated with cerebrospinal fluid pressure, the latter may be associated with neuroretinal rim area. It may serve as an indirect hint for the association of the cerebrospinal fluid pressure with glaucoma.
Competing Interests: The authors have declared that no competing interests exist.
Funding: Supported by the National Key Laboratory Fund. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
|1.||Jonas JB,Bergua A,Schmitz-Valckenberg P,Papastathopoulos KI,Budde WM. Year: 2000Ranking of optic disc variables for detection of glaucoma damage.Invest Ophthalmol Vis Sci411764177310845597|
|2.||Uchida H,Brigatti L,Caprioli J. Year: 1996Detection of structural damage from glaucoma with confocal laser image analysis.Invest Ophthalmol Vis Sci37239324018933756|
|3.||Alencar LM,Zangwill LM,Weinreb RN,Bowd C,Sample PA,et al. Year: 2010A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma.Invest Ophthalmol Vis Sci513531353920207973|
|4.||O'Leary N,Crabb DP,Mansberger SL,Fortune B,Twa MD,et al. Year: 2010Glaucomatous progression in series of stereoscopic photographs and Heidelberg retina tomograph images.Arch Ophthalmol12856056820457976|
|5.||See JL,Nicolela MT,Chauhan BC. Year: 2009Rates of neuroretinal rim and peripapillary atrophy area change: a comparative study of glaucoma patients and normal controls.Ophthalmology11684084719410941|
|6.||Varma R,Hilton SC,Tielsch JM,Katz J,Quigley HA,et al. Year: 1995Neural rim area declines with increased intraocular pressure in urban Americans.Arch Ophthalmol113100110057639650|
|7.||Leske MC,Heijl A,Hussein M,Bengtsson B,Hyman L,et al. Year: 2003Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial.Arch Ophthalmol121485612523884|
|8.||Chung HS,Harris A,Evans DW,Kagemann L,Garzozi HJ,et al. Year: 1999Vascular aspects in the pathophysiology of glaucomatous optic neuropathy.Surv Ophthalmol43Suppl 1S435010416746|
|9.||Bonomi L,Marchini G,Marraffa M,Bernardi P,Morbio R,et al. Year: 2000Vascular risk factors for primary open angle glaucoma: the Egna-Neumarkt Study.Ophthalmology1071287129310889099|
|10.||Flammer J,Orgül S,Costa VP,Orzalesi N,Krieglstein GK,et al. Year: 2002The impact of ocular blood flow in glaucoma.Prog Retin Eye Res2135939312150988|
|11.||Fuchsjäger-Mayrl G,Wally B,Georgopoulos M,Rainer G,Kircher K,et al. Year: 2004Ocular blood flow and systemic blood pressure in patients with primary open-angle glaucoma and ocular hypertension.Invest Ophthalmol Vis Sci4583483914985298|
|12.||Leske MC. Year: 2009Ocular perfusion pressure and glaucoma: clinical trial and epidemiologic findings.Curr Opin Ophthalmol20737819240538|
|13.||Deokule S,Vizzeri G,Boehm AG,Bowd C,Medeiros FA,et al. Year: 2009Correlation among choroidal, parapapillary, and retrobulbar vascular parameters in glaucoma.Am J Ophthalmol147736743.e219181304|
|14.||Morgan WH,Yu DY,Cooper RL,Alder VA,Cringle SJ,et al. Year: 1995The influence of cerebrospinal fluid pressure on the lamina cribrosa tissue pressure gradient.Invest Ophthalmol Vis Sci36116311727730025|
|15.||Jonas JB,Berenshtein E,Holbach L. Year: 2003Anatomic relationship between lamina cribrosa, intraocular space, and cerebrospinal fluid space.Invest Ophthalmol Vis Sci4451899514638716|
|16.||Berdahl JP,Allingham RR,Johnson DH. Year: 2008Cerebrospinal fluid pressure is decreased in primary open-angle glaucoma.Ophthalmology11576376818452762|
|17.||Berdahl JP,Fautsch MP,Stinnett SS,Allingham RR. Year: 2008Intracranial pressure in primary open angle glaucoma, normal tension glaucoma, and ocular hypertension: a case-control study.Invest Ophthalmol Vis Sci495412541818719086|
|18.||Ren R,Jonas JB,Tian G,Zhen Y,Ma K,et al. Year: 2010Cerebrospinal fluid pressure in glaucoma. A prospective study.Ophthalmology11725926619969367|
|19.||Ren R,Zhang X,Wang N,Li B,Tian G,et al. Year: 2011Cerebrospinal fluid pressure in ocular hypertension.Acta Ophthalmol89E142821348961|
|20.||Ren R,Wang NL,Zhang X,Cui T,Jonas JB. Year: 2011Trans-lamina cribrosa pressure difference correlated with neuroretinal rim area in glaucoma.Graefes Arch Clin Exp Ophthalmol2491057106321455776|
|21.||Whiteley W,Al-Shahi R,Warlow CP,Zeidler M,Lueck CJ. Year: 2006CSF opening pressure: reference interval and the effect of body mass index.Neurology671690169117101909|
|22.||Ren R,Wang N,Zhang X,Tian G,Jonas JB. Year: 2011Cerebrospinal fluid pressure correlated with body mass index.Graefes Arch Clin Exp Ophthalmol 2011 Aug 4. [Epub ahead of print]|
|23.||Xu L,Li Y,Zheng Y,Jonas JB. Year: 2006Associated factors for age-related maculopathy in the adult population in China. The Beijing Eye Study.Br J Ophthalmol901087109016774957|
|24.||Wang Y,Xu L,Zhang L,Yang H,Ma Y,et al. Year: 2006Optic disc size in a population-based study in Northern China. The Beijing Eye Study.Br J Ophthalmol9035335616488961|
|25.||Wang YX,Xu L,Yang H,Jonas JB. Year: 2010Prevalence of glaucoma in North China. The Beijing Eye Study.Am J Ophthalmol15091792420970107|
|26.||Foster PJ,Buhrmann R,Quigley HA,Johnson GJ. Year: 2002The definition and classification of glaucoma in prevalence surveys.Br J Ophthalmol8623824211815354|
|27.||Jonas JB,Dichtl A. Year: 1997Optic disc morphology in myopic primary open-angle glaucoma.Graefes Arch Clin Exp Ophthalmol2356276339349946|
|28.||Cheung N,Wong TY. Year: 2007Obesity and eye diseases.Surv Ophthalmol5218019517355856|
|29.||Pasquale LR,Willett WC,Rosner BA,Kang JH. Year: 2010Anthropometric measures and their relation to incident primary open-angle glaucoma.Ophthalmology1171521152920382429|
|30.||Leske MC,Connell AM,Wu SY,Hyman LG,Schachat AP. Year: 1995Risk factors for open-angle glaucoma. The Barbados Eye Study.Arch Ophthalmol1139189247605285|
|31.||Zheng Y,Cheung CY,Wong TY,Mitchell P,Aung T. Year: 2010Influence of height, weight, and body mass index on optic disc parameters.Invest Ophthalmol Vis Sci512998300220071668|
|32.||Gasser P,Stumpfig D,Schotzau A,Ackermann-Liebrich U,Flammer J. Year: 1998Body mass index in glaucoma.J Glaucoma881110084268|
|33.||Newman-Casey PA,Talwar N,Nan B,Musch DC,Stein JD. Year: 2011The relationship between components of metabolic syndrome and open-angle glaucoma.Ophthalmology1181318132621481477|
|34.||Xu L,Wang H,Wang Y,Jonas JB. Year: 2007Intraocular pressure correlated with arterial blood pressure. The Beijing Eye Study.Am J Ophthalmol14446146217765433|
|35.||Wang S,Xu L,Jonas JB,Wong TY,Cui T,et al. Year: 2009Major eye diseases and risk factors associated with systemic hypertension in an adult Chinese population. The Beijing Eye Study.Ophthalmology1162373238019815279|
|36.||Finucane MM,Stevens GA,Cowan MJ,Danaei G,Lin JK,et al. Year: 2011National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants.Lancet37797655576721295846|
Table 1 Associations between Pressure Related Parameters, Anthropometric Parameters and Neuroretinal rim Area in the Beijing Eye Study 2006 (Univariate Analysis).
|Parameter||P-Value||Standardized Corre-lation Coefficient Beta||Coefficient Regression||95% Confidence Interval of Regression Coefficient|
|Age (Years)||0.001||0.06||0.002||0.001, 0.004|
|Presence of Open-Angle Glaucoma||<0.001|
|Optic Disc Area (mm2)||<0.001||0.63||0.48||0.46, 0.50|
|Refractive Error (Dpt)||<0.001||0.08||0.02||0.01, 0.03|
|Body Mass Index (kg/m2)||0.04||0.04||0.004||0.001, 0.008|
|Body Height (cm)||0.64|
|Body Weight (kg)||0.10|
|Intraocular Pressure (mmHg)||<0.001||-0.10||-0.013||-0.017, -0.008|
|Systolic Blood Pressure (mmHg)||0.004||-0.05||-0.002||-0.003, -0.001|
|Diastolic Blood Pressure (mmHg)||<0.001||-0.08||-0.005||-0.008, -0.003|
|Mean Arterial Blood Pressure (mmHg)||<0.001||-0.08||-0.004||-0.006, -0.002|
|Ocular Perfusion Pressure (mmHg)||0.13||-0.03||-0.001||-0.002, 0.000|
Table 2 Multivariate Analysis of the Associations between Pressure Related Parameters, Anthropometric Parameters and Neuroretinal rim Area in the Beijing Eye Study 2006, Adjusted for Optic Disc Size, Refractive Error, Presence of Glaucomatous Optic Neuropathy, and Gender.
|Parameter||P-Value||Regression Coefficient||Standardized Coeff. Beta||95% Confid. Interval of Regr. Coeff||Collinearity Analysis Variance Inflation Factor|
|Body Mass Index (kg/m2)||<0.001||0.006||0.05||0.003, 0.009||1.14|
|Intraocular Pressure (mmHg)||0.004||-0.006||-0.05||-0.011, -0.002||1.44|
|Mean Arterial Blood Pressure (mmHg)||0.02||-0.004||-0.08||-0.008, -0.001||6.17|
|Ocular Perfusion Pressure (mmHg)||0.068||0.002||0.06||0.000, 0.005||6.19|
|Optic Disc Area (mm2)||<0.001||0.48||0.63||0.46, 0.50||1.03|
|Presence of Open-Angle Glaucoma||<0.001||-0.46||-0.18||-0.53, -0.39||1.01|
|Refractive Error (Dpt)||0.57|
Previous Document: Involvement of autophagy in cardiac remodeling in transgenic mice with cardiac specific over-express...
Next Document: Ecoregional analysis of nearshore sea-surface temperature in the North Pacific.