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Abstract
PURPOSE To describe the prevalence and risk factors for cataract in an Australian population aged 40 years and older. METHODS Participants were recruited by a household census and stratified, random cluster sampling to represent residents of Victoria, Australia, aged 40 years and older. The following information was collected: initial visual acuity and best-corrected visual acuity, demographic details, health history, dietary intake of antioxidants, lifetime ocular ultraviolet B exposure, and clinical eye examination, including lens photography. Cortical opacities were measured in sixteenths. Cortical cataract was defined as opacity greater than or equal to 4/16 of pupil circumference. Nuclear opacities were graded according to the Wilmer cataract grading scheme, and cataract was defined as greater than or equal to nuclear standard 2.0 of four standards. The height and width of any posterior subcapsular opacity was measured and recorded. Posterior subcapsular cataract was defined as posterior subcapsular opacity greater than or equal to 1 mm2. The worse eye was selected for analysis. Backward stepwise logistic regression was used to quantify independent risk factors for cataract. RESULTS A total of 3,271 (83% of eligible) of the urban residents, 403 (90% of eligible) nursing home residents, and 1,473 (92% of eligible) rural residents participated. The urban residents ranged in age from 40 to 98 years (mean, 59 years), and 1,511 (46%) were men. The nursing home residents ranged in age from 46 to 101 years (mean, 82 years), and 85 (21%) were men. The rural residents ranged in age from 40 to 103 years (mean, 60 years), and 701 (47.5%) were men. The overall weighted rate of cortical cataract was 11.3% (95% confidence limits, 9.68%, 13.0%) excluding cataract surgery and 12.1% (95% confidence limits, 10.5%, 13.8%) including cataract surgery. The risk factors for cortical cataract that remained in the multivariate logistic regression model were age, female gender, diabetes duration greater than 5 years, gout duration greater than 10 years, arthritis diagnosis, myopia, use of oral beta-blockers, and increased average annual ocular ultraviolet B exposure. Overall, 12.6% (95% confidence limits, 9.61%, 15.7%) of Victorians aged 40 years and older had nuclear cataract including previous cataract surgery, and 11.6% (95% confidence limits, 8.61%, 14.7%) had nuclear cataract excluding previous cataract surgery. In the urban and rural cohorts, age, female gender, rural residence, brown irides, diabetes diagnosed 5 or more years earlier, myopia, age-related maculopathy, having smoked for greater than 30 years, and an interaction between ocular ultraviolet B exposure and vitamin E were all risk factors for nuclear cataract. The rate of posterior subcapsular cataract excluding previous cataract surgery was 4.08% (95% confidence limits, 3.01%, 5.14%), whereas the overall rate of posterior subcapsular cataract including previous cataract surgery was 4.93% (95% confidence limits, 3.68%, 6.17%) . The independent risk factors for posterior subcapsular cataract in the urban and rural cohorts that remained were age in years, rural location, use of thiazide diuretics, vitamin E intake, and myopia. CONCLUSIONS The expected increase in the prevalence of cataract with the aging of the population highlights the need to plan appropriate medical services and public health interventions for primary and secondary prevention. Many of the identified risk factors for cataract in the population have the potential for being modified through public health interventions.
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Abi B, Albahri T, Al-Kilani S, Allspach D, Alonzi LP, Anastasi A, Anisenkov A, Azfar F, Badgley K, Baeßler S, Bailey I, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Basti A, Bedeschi F, Behnke A, Berz M, Bhattacharya M, Binney HP, Bjorkquist R, Bloom P, Bono J, Bottalico E, Bowcock T, Boyden D, Cantatore G, Carey RM, Carroll J, Casey BCK, Cauz D, Ceravolo S, Chakraborty R, Chang SP, Chapelain A, Chappa S, Charity S, Chislett R, Choi J, Chu Z, Chupp TE, Convery ME, Conway A, Corradi G, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, De Lurgio PM, Debevec PT, Di Falco S, Di Meo P, Di Sciascio G, Di Stefano R, Drendel B, Driutti A, Duginov VN, Eads M, Eggert N, Epps A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fiedler A, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Frlež E, Froemming NS, Fry J, Fu C, Gabbanini C, Galati MD, Ganguly S, Garcia A, Gastler DE, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Hahn D, Halewood-Leagas T, Hampai D, Han F, Hazen E, Hempstead J, Henry S, Herrod AT, et alAbi B, Albahri T, Al-Kilani S, Allspach D, Alonzi LP, Anastasi A, Anisenkov A, Azfar F, Badgley K, Baeßler S, Bailey I, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Basti A, Bedeschi F, Behnke A, Berz M, Bhattacharya M, Binney HP, Bjorkquist R, Bloom P, Bono J, Bottalico E, Bowcock T, Boyden D, Cantatore G, Carey RM, Carroll J, Casey BCK, Cauz D, Ceravolo S, Chakraborty R, Chang SP, Chapelain A, Chappa S, Charity S, Chislett R, Choi J, Chu Z, Chupp TE, Convery ME, Conway A, Corradi G, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, De Lurgio PM, Debevec PT, Di Falco S, Di Meo P, Di Sciascio G, Di Stefano R, Drendel B, Driutti A, Duginov VN, Eads M, Eggert N, Epps A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fiedler A, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Frlež E, Froemming NS, Fry J, Fu C, Gabbanini C, Galati MD, Ganguly S, Garcia A, Gastler DE, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Hahn D, Halewood-Leagas T, Hampai D, Han F, Hazen E, Hempstead J, Henry S, Herrod AT, Hertzog DW, Hesketh G, Hibbert A, Hodge Z, Holzbauer JL, Hong KW, Hong R, Iacovacci M, Incagli M, Johnstone C, Johnstone JA, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler D, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kim SC, Kim YI, King B, Kinnaird N, Korostelev M, Kourbanis I, Kraegeloh E, Krylov VA, Kuchibhotla A, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee MJ, Lee S, Leo S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lucà A, Lukicov G, Luo G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Marignetti F, Mastroianni S, Maxfield S, McEvoy M, Merritt W, Mikhailichenko AA, Miller JP, Miozzi S, Morgan JP, Morse WM, Mott J, Motuk E, Nath A, Newton D, Nguyen H, Oberling M, Osofsky R, Ostiguy JF, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Popovic M, Price J, Quinn B, Raha N, Ramachandran S, Ramberg E, Rider NT, Ritchie JL, Roberts BL, Rubin DL, Santi L, Sathyan D, Schellman H, Schlesier C, Schreckenberger A, Semertzidis YK, Shatunov YM, Shemyakin D, Shenk M, Sim D, Smith MW, Smith A, Soha AK, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Strohman C, Stuttard T, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Thomson K, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Warren M, Weisskopf A, Welty-Rieger L, Whitley M, Winter P, Wolski A, Wormald M, Wu W, Yoshikawa C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm. PHYSICAL REVIEW LETTERS 2021; 126:141801. [PMID: 33891447 DOI: 10.1103/physrevlett.126.141801] [Show More Authors] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
We present the first results of the Fermilab National Accelerator Laboratory (FNAL) Muon g-2 Experiment for the positive muon magnetic anomaly a_{μ}≡(g_{μ}-2)/2. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency ω_{a} between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ω[over ˜]_{p}^{'} in a spherical water sample at 34.7 °C. The ratio ω_{a}/ω[over ˜]_{p}^{'}, together with known fundamental constants, determines a_{μ}(FNAL)=116 592 040(54)×10^{-11} (0.46 ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both μ^{+} and μ^{-}, the new experimental average of a_{μ}(Exp)=116 592 061(41)×10^{-11} (0.35 ppm) increases the tension between experiment and theory to 4.2 standard deviations.
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