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5. Protocol for the co-design of an online support service for adults with hearing loss.

Author

Zou, Alicia, Tang, Diana, Ferguson, Melanie, Sherman, Kerry, McMahon, Catherine, Gill, Liz, Lau, Annie, Lee, Jane, Williamson, Steve, Davies, Elizabeth, Sheng, Kate, O'Toole, Simon, Georgiou, Andrew, Mukherjee, Payal, Wolnizer, Peter, and Gopinath, Bamini

Subjects
DESIGN thinking, HEARING disorders, DISEASE risk factors, SEMI-structured interviews, CONSUMERS
Abstract

Introduction: Untreated hearing loss is reported to negatively impact on an individual's quality of life, affecting their psychological and physical health and placing them at greater risk of developing dementia. Despite this, hearing loss management is often delayed by up to a decade. This is likely due to difficulties in navigating the hearing care pathway, and the absence of a central, unbiased reference point for consumer-friendly hearing health information and resources. We intend to co-design an online support service for adults with hearing loss with the following aims: 1) to understand unmet needs and consumer barriers to accessing hearing health information, 2) to identify solutions to these unmet needs that can be developed into prototype ideas, 3) to incrementally build on iterations of a prototype until a usable online support service is developed and ready for real-life testing with end-users, and 4) to test and evaluate the usability, accessibility, and effectiveness of the prototype from the consumer's perspective, so that the prototype can be refined into the final product. Methods and analysis: This will be a mixed method study. Consumers will be involved in all stages of the design of the project following the Hasso Plattner model of design thinking. The qualitative component will involve sprints and semi-structured interviews to access the consumer perspective and understand unmet needs and challenges regarding the access of online hearing health information. For the quantitative component, an online survey will be administered prior to prototype testing as part of the remote usability study to collect self-efficacy and eHealth literacy outcome measures via validated questionnaires. Data collection will also be performed post-prototype testing for evaluation purposes. Finally, heuristic evaluation of the prototype will be conducted by an eLearning expert to help refine the prototype into the final product. [ABSTRACT FROM AUTHOR]

Published
2024
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6. The Association between Dietary Intakes of Vitamins and Minerals with Tinnitus.

Author

Tang, Diana, Shekhawat, Giriraj S., Burlutsky, George, Mitchell, Paul, and Gopinath, Bamini

Abstract

Background: Tinnitus is the phantom perception of sound in the ears or head which may result from inflammation of the auditory pathway. A healthy diet consisting of a range of vitamins and minerals may be protective against tinnitus. This study aims to determine the association between intakes of dietary vitamins and minerals and the prevalence and incidence of tinnitus over 10 years. Methods: In this longitudinal cohort study of 2947 participants (aged ≥ 50 years), 935 (32%) cases of tinnitus were identified and included in prevalence analyses. The remaining 2012 participants were followed to establish 10-year incidence of tinnitus. A validated semi-quantitative food frequency questionnaire was used to determine intakes of dietary vitamins and minerals. Results: No significant associations with tinnitus prevalence were found. However, iron and zinc were significantly associated with incident tinnitus. There was a 44% (multivariate-adjusted HR: 1.44, 95% CI: 1.07–1.93) increased risk of developing incident tinnitus over 10 years with lower zinc intakes and a 35% increased risk with lower iron intakes (multivariate-adjusted HR: 1.35, 95% CI: 1.00–1.80). Conclusion: Higher intakes of zinc and iron were significantly associated with lower tinnitus risk. Due to a lack of comparable high-quality data, future research studies should include robust study designs. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study

Author

Tham, Yih-Chung, Anees, Ayesha, Zhang, Liang, Goh, Jocelyn Hui Lin, Rim, Tyler Hyungtaek, Nusinovici, Simon, Hamzah, Haslina, Chee, Miao-Li, Tjio, Gabriel, Li, Shaohua, Xu, Xinxing, Goh, Rick, Tang, Fangyao, Cheung, Carol Yim-Lui, Wang, Ya Xing, Nangia, Vinay, Jonas, Jost B, Gopinath, Bamini, Mitchell, Paul, Husain, Rahat, Lamoureux, Ecosse, Sabanayagam, Charumathi, Wang, Jie Jin, Aung, Tin, Liu, Yong, Wong, Tien Yin, and Cheng, Ching-Yu

Published
2021
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9. The Australian Eye and Ear Health Survey (AEEHS): Study protocol for a population-based cross-sectional study.

Author

Kha, Richard, Macken, Oonagh, Mitchell, Paul, Liew, Gerald, Keay, Lisa, Waddell, Colina, Yang, Eleanor, Do, Vu, Fricke, Tim, Newall, John, and Gopinath, Bamini

Subjects
INDIGENOUS Australians, VISUAL acuity, VISUAL fields, VISION disorders, HEARING disorders, RESEARCH protocols, HEALTH surveys
Abstract

Introduction: Vision and hearing impairments are highly prevalent and have a significant impact on physical, psychological and social wellbeing. There is a need for accurate, contemporary national data on the prevalence, risk factors and impacts of vision and hearing loss in Australian adults. Objectives: The Australian Eye and Ear Health Survey (AEEHS) aims to determine the prevalence, risk factors and impacts of vision and hearing loss in both Aboriginal and Torres Strait Islander and non-Indigenous older adults. Methods and analysis: The AEEHS is a population-based cross-sectional survey which will include 5,000 participants (3250 non-Indigenous aged 50 years or older and 1750 Aboriginal and Torres Strait Islander people aged 40 years or older) from 30 sites covering urban and rural/regional geographic areas, selected using a multi-stage, random cluster sampling strategy. Questionnaires will be administered to collect data on socio-demographic, medical, ocular and ontological history. The testing battery includes assessment of blood pressure, blood sugar, anthropometry, visual acuity (presenting, unaided, pinhole and best-corrected), refraction, tonometry, slit lamp and dilated eye examination, ocular imaging including optical coherence tomography (OCT), OCT-angiography and retinal photography, and automated visual fields. Audiometry, tympanometry and video otoscopy will also be performed. The primary outcomes are age-standardised prevalence of cause-specific vision and hearing impairment. Secondary outcomes are prevalence of non-blinding eye diseases (including dry eye disease), patterns in health service utilisation, universal health coverage metrics, risk factors for vision and hearing impairment, and impact on quality of life. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

Author

Mathieson, Iain, Day, Felix R., Barban, Nicola, Tropf, Felix C., Brazel, David M., van Heemst, Diana, Vaez, Ahmad, van Zuydam, Natalie, Bitarello, Bárbara D., Gardner, Eugene J., Akimova, Evelina T., Azad, Ajuna, Bergmann, Sven, Bielak, Lawrence F., Boomsma, Dorret I., Bosak, Kristina, Brumat, Marco, Buring, Julie E., Cesarini, David, Chasman, Daniel I., Chavarro, Jorge E., Cocca, Massimiliano, Concas, Maria Pina, Davey Smith, George, Davies, Gail, Deary, Ian J., Esko, Tõnu, Faul, Jessica D., Franco, Oscar, Ganna, Andrea, Gaskins, Audrey J., Gelemanovic, Andrea, de Geus, Eco J. C., Gieger, Christian, Girotto, Giorgia, Gopinath, Bamini, Grabe, Hans Jörgen, Gunderson, Erica P., Hayward, Caroline, He, Chunyan, Hill, W. David, Hoffmann, Eva R., Homuth, Georg, Hottenga, Jouke Jan, Huang, Hongyang, Hyppӧnen, Elina, Ikram, M. Arfan, Jansen, Rick, Johannesson, Magnus, Kamali, Zoha, Kardia, Sharon L. R., Kavousi, Maryam, Kifley, Annette, Kiiskinen, Tuomo, Kraft, Peter, Kühnel, Brigitte, Langenberg, Claudia, Liew, Gerald, van der Most, Peter J., Lind, Penelope A., Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Mbarek, Hamdi, McCarthy, Mark I., McMahon, George, Medland, Sarah E., Meitinger, Thomas, Metspalu, Andres, Mihailov, Evelin, Milani, Lili, Missmer, Stacey A., Mitchell, Paul, Møllegaard, Stine, Mook-Kanamori, Dennis O., Morgan, Anna, de Mutsert, Renée, Nauck, Matthias, Nolte, Ilja M., Noordam, Raymond, Penninx, Brenda W. J. H., Peters, Annette, Peyser, Patricia A., Polašek, Ozren, Power, Chris, Pribisalic, Ajka, Redmond, Paul, Rich-Edwards, Janet W., Ridker, Paul M., Rietveld, Cornelius A., Ring, Susan M., Rose, Lynda M., Rueedi, Rico, Shukla, Vallari, Smith, Jennifer A., Stankovic, Stasa, Stefánsson, Kári, Stöckl, Doris, Strauch, Konstantin, Swertz, Morris A., Teumer, Alexander, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Turman, Constance, Uitterlinden, André G., Waldenberger, Melanie, Wareham, Nicholas J., Weir, David R., Willemsen, Gonneke, Zhao, Jing Hau, Zhao, Wei, Zhao, Yajie, Snieder, Harold, den Hoed, Marcel, Ong, Ken K., Mills, Melinda C., Perry, John R. B., Biological Psychology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, AMS - Ageing & Vitality, AMS - Sports, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Epidemiology, Applied Economics, Internal Medicine, Mathieson, Iain, Day, Felix R, Barban, Nicola, Tropf, Felix C, Hyppӧnen, Elina, Perry, John RB, eQTLGen Consortium, BIOS Consortium, FinnGen Study, Lifelines Cohort Study, Brazel, David M, Vaez, Ahmad, van Zuydam, Natalie, Bitarello, Bárbara D, Gardner, Eugene J, Akimova, Evelina T, Azad, Ajuna, Bergmann, Sven, Bielak, Lawrence F, Boomsma, Dorret I, Bosak, Kristina, Brumat, Marco, Buring, Julie E, Cesarini, David, Chasman, Daniel I, Chavarro, Jorge E, Cocca, Massimiliano, Concas, Maria Pina, Davey Smith, George, Davies, Gail, Deary, Ian J, Esko, Tõnu, Faul, Jessica D, Franco, Oscar, Ganna, Andrea, Gaskins, Audrey J, Gelemanovic, Andrea, de Geus, Eco J C, Gieger, Christian, Girotto, Giorgia, Gopinath, Bamini, Grabe, Hans Jörgen, Gunderson, Erica P, Hayward, Caroline, He, Chunyan, van Heemst, Diana, Hill, W David, Hoffmann, Eva R, Homuth, Georg, Hottenga, Jouke Jan, Huang, Hongyang, Ikram, M Arfan, Jansen, Rick, Johannesson, Magnu, Kamali, Zoha, Kardia, Sharon L R, Kavousi, Maryam, Kifley, Annette, Kiiskinen, Tuomo, Kraft, Peter, Kühnel, Brigitte, Langenberg, Claudia, Liew, Gerald, Lind, Penelope A, Luan, Jian'an, Mägi, Reedik, Magnusson, Patrik K E, Mahajan, Anubha, Martin, Nicholas G, Mbarek, Hamdi, McCarthy, Mark I, McMahon, George, Medland, Sarah E, Meitinger, Thoma, Metspalu, Andre, Mihailov, Evelin, Milani, Lili, Missmer, Stacey A, Mitchell, Paul, Møllegaard, Stine, Mook-Kanamori, Dennis O, Morgan, Anna, van der Most, Peter J, de Mutsert, Renée, Nauck, Matthia, Nolte, Ilja M, Noordam, Raymond, Penninx, Brenda W J H, Peters, Annette, Peyser, Patricia A, Polašek, Ozren, Power, Chri, Pribisalic, Ajka, Redmond, Paul, Rich-Edwards, Janet W, Ridker, Paul M, Rietveld, Cornelius A, Ring, Susan M, Rose, Lynda M, Rueedi, Rico, Shukla, Vallari, Smith, Jennifer A, Stankovic, Stasa, Stefánsson, Kári, Stöckl, Dori, Strauch, Konstantin, Swertz, Morris A, Teumer, Alexander, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thurik, A Roy, Timpson, Nicholas J, Turman, Constance, Uitterlinden, André G, Waldenberger, Melanie, Wareham, Nicholas J, Weir, David R, Willemsen, Gonneke, Zhao, Jing Hau, Zhao, Wei, Zhao, Yajie, Snieder, Harold, den Hoed, Marcel, Ong, Ken K, Mills, Melinda C, Perry, John R B, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep

Subjects
Behavioral Neuroscience, Endocrine reproductive disorders Genome-wide association studies, Social Psychology, genome-wide association studies, TERM BALANCING SELECTION, QUALITY-CONTROL, ASSOCIATION, VARIANTS, GWAS, HERITABILITY, METAANALYSIS, ADAPTATION, SIGNATURES, EQTL, endocrine reproductive disorders, Experimental and Cognitive Psychology, Bristol Population Health Science Institute
Abstract

Refereed/Peer-reviewed Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success.

Published
2023

21. A protocol for the Hearing impairment in Adults: A Longitudinal Outcomes Study (HALOS)

Author

Tang, Diana, primary, Tran, Yvonne, additional, McMahon, Catherine, additional, Turner, Jessica, additional, Amin, Janaki, additional, Sinha, Kompal, additional, Alam, Mohammad Nure, additional, Wuthrich, Viviana, additional, Sherman, Kerry A., additional, Garcia, Patrick, additional, Mitchell, Rebecca, additional, Braithwaite, Jeffrey, additional, Leigh, Greg, additional, Lim, Shermin, additional, Shekhawat, Giriraj Singh, additional, Rapport, Frances, additional, Ferguson, Melanie, additional, and Gopinath, Bamini, additional

Published
2023
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24. Australian arm of the International Spinal Cord Injury (Aus-InSCI) community survey: 1. population-based design, methodology and cohort profile

Author

Middleton, James W., primary, Arora, Mohit, additional, Kifley, Annette, additional, Geraghty, Timothy, additional, Borg, Samantha J., additional, Marshall, Ruth, additional, Clark, Jillian, additional, Nunn, Andrew, additional, Ferrante, Anna, additional, Fekete, Christine, additional, Stucki, Gerold, additional, Gopinath, Bamini, additional, Craig, Ashley, additional, and Cameron, Ian D., additional

Published
2022
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31. The Need for a Specialized Neurocognitive Screen and Consistent Cognitive Impairment Criteria in Spinal Cord Injury: Analysis of the Suitability of the Neuropsychiatry Unit Cognitive Assessment Tool

Author

Sandalic, Danielle, primary, Tran, Yvonne, additional, Craig, Ashley, additional, Arora, Mohit, additional, Pozzato, Ilaria, additional, Simpson, Grahame, additional, Gopinath, Bamini, additional, Kaur, Jasbeer, additional, Shetty, Sachin, additional, Weber, Gerard, additional, Benad, Lisa, additional, and Middleton, James W., additional

Published
2022
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36. Physical Activity, Incidence, and Progression of Age-Related Macular Degeneration: A Multicohort Study

Author

MAUSCHITZ, Matthias M., SCHMITZ, Marie Therese, Verzijden, Timo, Schmid, Matthias, THEE, Eric F., Colijn, Johanna M., Delcourt, Cécile, Cougnard-Gregoire, Audrey, MERLE, Benedicte M. J., KOROBELNIK, Jean Francois, Gopinath, Bamini, Mitchell, Paul, ELBAZ, Hisham, SCHUSTER, Alexander K., Wild, Philipp S., BRANDL, Caroline, STARK, Klaus J., Heid, Iris M., Gunther, Felix, Peters, Annette, KLAVER, Caroline C. W., FINGER, Robert P., EUROPEAN EYE EPIDEMIOLOGY, Consortium, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Ophthalmology, and Epidemiology

Subjects
Adult, medicine.medical_specialty, genetic structures, Population, Physical activity, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Cohort Studies, 03 medical and health sciences, Macular Degeneration, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Risk Factors, Internal medicine, Age related, medicine, Humans, Longitudinal Studies, Risk factor, education, Exercise, Aged, education.field_of_study, business.industry, Incidence (epidemiology), Incidence, Hazard ratio, Macular degeneration, Middle Aged, medicine.disease, eye diseases, 3. Good health, Ophthalmology, 030221 ophthalmology & optometry, Disease Progression, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, sense organs, business, 030217 neurology & neurosurgery, Cohort study, Follow-Up Studies
Abstract

Contains fulltext : 249581.pdf (Publisher’s version ) (Closed access) PURPOSE: To investigate the impact of physical activity (PA) on the incidence or progression of age-related macular degeneration (AMD) in the general population. DESIGN: Meta-analysis of longitudinal cohort studies. METHODS: We included 14,630 adults with no or early AMD at baseline from 7 population-based studies and examined associations of PA with AMD incidence and progression using multistate models (MSM) per study and subsequent random effects meta-analysis. Age effects were assessed using meta-regression. The main outcome measure was the hazard ratio (HR) for incident early or progression to late AMD. RESULTS: At baseline, mean age was 60.7 ± 6.9 to 76.4 ± 4.3 years, and prevalence of early AMD was 7.7% (range, 3.6%-16.9%) between cohorts. During follow-up, 1461 and 189 events occurred for early and late AMD, respectively. In meta-analyses, no or low to moderate PA (high PA as reference) was associated with an increased risk for incident early AMD (HR, 1.19; 95% CI, 1.01-1.40; P = .04), but not for late AMD. In subsequent meta-regression, we found no association of age with the effect of PA on incident AMD. CONCLUSIONS: Our study suggests high levels of PA to be protective for the development of early AMD across several population-based cohort studies. Our results establish PA as a modifiable risk factor for AMD and inform further AMD prevention strategies to reduce its public health impact. 01 april 2022

Published
2022

46. A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis

Author

Tang, Fangyao, primary, Wang, Xi, additional, Ran, An-ran, additional, Chan, Carmen K.M., additional, Ho, Mary, additional, Yip, Wilson, additional, Young, Alvin L., additional, Lok, Jerry, additional, Szeto, Simon, additional, Chan, Jason, additional, Yip, Fanny, additional, Wong, Raymond, additional, Tang, Ziqi, additional, Yang, Dawei, additional, Ng, Danny S., additional, Chen, Li Jia, additional, Brelén, Marten, additional, Chu, Victor, additional, Li, Kenneth, additional, Lai, Tracy H.T., additional, Tan, Gavin S., additional, Ting, Daniel S.W., additional, Huang, Haifan, additional, Chen, Haoyu, additional, Ma, Jacey Hongjie, additional, Tang, Shibo, additional, Leng, Theodore, additional, Kakavand, Schahrouz, additional, Mannil, Suria S., additional, Chang, Robert T., additional, Liew, Gerald, additional, Gopinath, Bamini, additional, Lai, Timothy Y.Y., additional, Pang, Chi Pui, additional, Scanlon, Peter H., additional, Wong, Tien Yin, additional, Tham, Clement C., additional, Chen, Hao, additional, Heng, Pheng-Ann, additional, and Cheung, Carol Y., additional

Published
2021
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