Abstract
Background
Obesity is characterized by heightened inflammation, and both phenotypes are associated with hearing loss. We aimed to determine if inflammation mediates the associations between obesity and hearing ability in mid-childhood and mid-life.
Methods
Participants: 1165 11- to 12-year-old children and 1316 parents in the population-based cross-sectional Child Health CheckPoint within the Longitudinal Study of Australian Children. Adiposity measures: Body mass index (BMI) classified as normal, overweight and obesity; waist-to-height ratio (WHtR) classified as <0.5 and ≥0.5; fat mass index. Inflammatory biomarkers: Serum glycoprotein A (GlycA); high-sensitivity C-reactive protein (hsCRP). Audiometry: Composite high Fletcher Index (mean threshold of 1, 2, 4 kHz) in the better ear. Analysis: Causal mediation analysis decomposed a ‘total effect’ (obesity on hearing status) into ‘indirect’ effect via a mediator (eg GlycA, hsCRP) and ‘direct’ effect via other pathways, adjusting for age, sex and socioeconomic position.
Results
Compared to adults with BMI within the normal range, those with obesity had hearing thresholds 1.9 dB HL (95% CI 1.0–2.8) higher on the high Fletcher Index; 40% of the total effect was mediated via GlycA (indirect effect: 0.8 dB HL, 95% CI 0.1–1.4). Children with obesity had hearing thresholds 1.3 dB HL (95% CI 0.2–2.5) higher than those with normal BMI, of which 67% (indirect effect: 0.9 dB HL, 95% CI 0.4–1.4) was mediated via GlycA. Similar mediation effects were noted using other adiposity measures. Similar but less marked mediation effects were observed when hsCRP was used as the inflammatory biomarker (6–23% in adults and 23–33% in children).
Conclusions
Inflammation may play an important mediating role in the modest hearing reductions associated with obesity, particularly in children. These findings offer insights into possible mechanisms and early prevention strategies for hearing loss.
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References
Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health effects of overweight and obesity in 195 Countries over 25 years. N Engl J Med. 2017;377:13–27.
GBD. Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1545–602.
Yang JR, Hidayat K, Chen CL, Li YH, Xu JY, Qin LQ. Body mass index, waist circumference, and risk of hearing loss: a meta-analysis and systematic review of observational study. Environ Health Prev Med. 2020;25:25.
Hwang JH, Wu CC, Hsu CJ, Liu TC, Yang WS. Association of central obesity with the severity and audiometric configurations of age-related hearing impairment. Obesity. 2009;17:1796–801.
Kim TS, Park SW, Kim DY, Kim EB, Chung JW, So HS. Visceral adipose tissue is significantly associated with hearing thresholds in adult women. Clin Endocrinol. 2014;80:368–75.
Wang J, Sung V, Lycett K, Carew P, Liu RS, Grobler A, et al. How body composition influences hearing status by mid-childhood and mid-life: the Longitudinal Study of Australian Children. Int J Obes. 2018;42:1771–81.
Hwang JH, Hsu CJ, Yu WH, Liu TC, Yang WS. Diet-induced obesity exacerbates auditory degeneration via hypoxia, inflammation, and apoptosis signaling pathways in CD/1 mice. PLoS One. 2013;8:e60730.
Cox AJ, West NP, Cripps AW. Obesity, inflammation, and the gut microbiota. Lancet Diabetes Endocrinol. 2015;3:207–15.
Nash SD, Cruickshanks KJ, Zhan W, Tsai MY, Klein R, Chappell R, et al. Long-term assessment of systemic inflammation and the cumulative incidence of age-related hearing impairment in the epidemiology of hearing loss study. J Gerontol A Biol Sci Med Sci. 2014;69:207–14.
Verschuur C, Agyemang-Prempeh A, Newman TA. Inflammation is associated with a worsening of presbycusis: evidence from the MRC national study of hearing. Int J Audiol. 2014;53:469–75.
Davis A, McMahon CM, Pichora-Fuller KM, Russ S, Lin F, Olusanya BO, et al. Aging and hearing health: the life-course approach. Gerontologist. 2016;56:S256–67.
Connelly MA, Otvos JD, Shalaurova I, Playford MP, Mehta NN. GlycA, a novel biomarker of systemic inflammation and cardiovascular disease risk. J Transl Med. 2017;15:219.
Wang J, Sung V, Carew P, Liu RS, Burgner D, Wake M. Inflammation and hearing status in mid-childhood and mid-life: a population-based cross-sectional study. Int J Epidemiol. 2019;48:1556–66.
Sanson A, Johnstone R. ‘Growing Up in Australia’ takes its first steps. Family Matters. 2004;67:46–53.
Edwards B. Growing up in Australia: the longitudinal study of Australian children: entering adolescence and becoming a young adult. Family Matters. 2014;95:5.
Norton A, Monahan K. LSAC technical paper No. 15: Wave 6 weighting and non-response. Australian Institute of Family Studies; 2015. https://growingupinaustralia.gov.au/sites/default/files/tp15.pdf.
Wake M, Clifford S, York E, Mensah F, Gold L, Burgner D, et al. Introducing growing up in Australia’s child health check point: A physical health and biomarkers module for the longitudinal study of Australian children. Family Matters. 2014;95:15–23.
Clifford SA, Davies S, Wake M. Child Health CheckPoint Team: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children. BMJ Open. 2019;9:3–22.
Clifford SA, Gillespie AN, Olds T, Grobler AC, Wake M. Body composition: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open. 2019;9:95–105.
Marfell-Jones M, Olds T, Stewart A, Carter L. International standards for anthropometric assessment. Potchefstroom, RSA: North-West University; 2006.
Vidmar S, Carlin J, Hesketh K, Cole T. Standardizing anthropometric measures in children and adolescents with new functions for egen. Stata J. 2004;4:50–5.
Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R, et al. CDC growth charts: United States. Advance Data. 2000;314:1–27.
Ogden CL, Flegal KM. Changes in terminology for childhood overweight and obesity. Natl Health Stat Report. 2010;25:1–5.
Gibson S, Ashwell M. A simple cut-off for waist-to-height ratio (0.5) can act as an indicator for cardiometabolic risk: recent data from adults in the Health Survey for England. Br J Nutr. 2020;123:681–90.
Ellul S, Wake M, Clifford SA, Lange K, Wurtz P, Juonala M, et al. Metabolomics: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open. 2019;9:106–17.
Smith J, Wang J, Grobler AC, Lange K, Clifford SA, Wake M. Hearing, speech reception, vocabulary and language: population epidemiology and concordance in Australian children aged 11 to 12 years and their parents. BMJ Open. 2019;9:85–94.
Damen GW, van den Oever-Goltstein MH, Langereis MC, Chute PM, Mylanus EA. Classroom performance of children with cochlear implants in mainstream education. Ann Otol Rhinol Laryngol. 2006;115:542–52.
Ecob R, Russ S, Davis A. BMI over the lifecourse and hearing ability at age 45 years: a population based study. Longitudinal Life Course Studies. 2011;2:242–59.
Shargorodsky J, Curhan SG, Curhan GC, Eavey R. Change in prevalence of hearing loss in US adolescents. JAMA. 2010;304:772–8.
Skinner AC, Steiner MJ, Henderson FW, Perrin EM. Multiple markers of inflammation and weight status: cross-sectional analyses throughout childhood. Pediatrics. 2010;125:e801–9.
le Clercq CMP, van Ingen G, Ruytjens L, Goedegebure A, Moll HA, Raat H, et al. Prevalence of hearing loss among children 9 to 11 years old: The Generation R Study. JAMA Otolaryngol Head Neck Surg. 2017;143:928–34.
Blakemore T, Strazdins L, Gibbings J. Measuring family socioeconomic position. Australian Social Policy. 2009;8:121–68.
Moreno-Betancur M, Carlin JB. Understanding interventional effects: a more natural approach to mediation analysis? Epidemiology. 2018;29:614–7.
Vanderweele TJ, Vansteelandt S, Robins JM. Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology. 2014;25:300–6.
Hicks R, Tingley D. Causal mediation analysis. Stata J. 2011;11:605–19.
Wang J, le Clercq CMP, Sung V, Carew P, Liu RS, Mensah FK, et al. Cross-sectional epidemiology of hearing loss in Australian children aged 11-12 years old and 25-year secular trends. Arch Dis Child. 2018;103:579–85.
Multi-centre Otitis Media Study Group. Influence of age, type of audiometry and child’s concentration on hearing thresholds. Br J Audiol. 2000;34:231–40.
Niskar AS, Kieszak SM, Holmes A, Esteban E, Rubin C, Brody DJ. Prevalence of hearing loss among children 6 to 19 years of age - The Third National Health and Nutrition Examination Survey. JAMA. 1998;279:1071–5.
Lin FR, Thorpe R, Gordon-Salant S, Ferrucci L. Hearing loss prevalence and risk factors among older adults in the United States. J Gerontol A Biol Sci Med Sci. 2011;66:582–90.
Lalwani AK, Katz K, Liu YH, Kim S, Weitzman M. Obesity is associated with sensorineural hearing loss in adolescents. Laryngoscope. 2013;123:3178–84.
Engdahl B, Aarhus L, Lie A, Tambs K. Cardiovascular risk factors and hearing loss: The HUNT study. Int J Audiol. 2015;54:958–66.
Verschuur CA, Dowell A, Syddall HE, Ntani G, Simmonds SJ, Baylis D, et al. Markers of inflammatory status are associated with hearing threshold in older people: findings from the Hertfordshire Ageing Study. Age Ageing. 2012;41:92–7.
Seidman MD, Ahmad N, Bai U. Molecular mechanisms of age-related hearing loss. Ageing Res Rev. 2002;1:331–43.
Wang J, Nguyen MT, Sung V, Grobler A, Burgner D, Saffery R, et al. Associations between telomere length and hearing status in mid-childhood and midlife: population-based cross-sectional study. Ear Hear. 2019;40:1256–9.
Chudek J, Wiecek A. Adipose tissue, inflammation and endothelial dysfunction. Pharmacol Rep. 2006;58:81–8.
Trune DR, Nguyen-Huynh A. Vascular pathophysiology in hearing disorders. Semin Hear. 2012;33:242–50.
Nyberg S, Abbott NJ, Shi X, Steyger PS, Dabdoub A. Delivery of therapeutics to the inner ear: the challenge of the blood-labyrinth barrier. Sci Transl Med. 2019;11:1–11.
Hunt KJ, Walsh BM, Voegeli D, Roberts HC. Inflammation in aging part 1: physiology and immunological mechanisms. Biol Res Nurs. 2010;11:245–52.
Panagiotakos DB, Pitsavos C, Yannakoulia M, Chrysohoou C, Stefanadis C. The implication of obesity and central fat on markers of chronic inflammation: The ATTICA study. Atherosclerosis. 2005;183:308–15.
Choi J, Joseph L, Pilote L. Obesity and C-reactive protein in various populations: a systematic review and meta-analysis. Obes Rev. 2013;14:232–44.
Gates GA, Cobb JL, D’Agostino RB, Wolf PA. The relation of hearing in the elderly to the presence of cardiovascular disease and cardiovascular risk factors. Arch Otolaryngol Head Neck Surg. 1993;119:156–61.
Horikawa C, Kodama S, Tanaka S, Fujihara K, Hirasawa R, Yachi Y, et al. Diabetes and risk of hearing impairment in adults: a meta-analysis. J Clin Endocrinol Metab. 2013;98:51–58.
Rosenhall U, Sundh V. Age-related hearing loss and blood pressure. Noise and Health. 2006;8:88.
Otvos JD, Shalaurova I, Wolak-Dinsmore J, Connelly MA, Mackey RH, Stein JH, et al. GlycA: A composite nuclear magnetic resonance biomarker of systemic inflammation. Clin Chem. 2015;61:714–23.
Bleich SN, Vercammen KA, Zatz LY, Frelier JM, Ebbeling CB, Peeters A. Interventions to prevent global childhood overweight and obesity: a systematic review. Lancet Diabetes Endocrinol. 2018;6:332–46.
Truax AD, Chen L, Tam JW, Cheng N, Guo H, Koblansky AA, et al. The inhibitory innate immune sensor NLRP12 maintains a threshold against obesity by regulating gut microbiota homeostasis. Cell Host Microbe. 2018;24:364–78.e366.
Acknowledgements
This article uses unit record data from Growing Up in Australia, the Longitudinal Study of Australian Children (LSAC). The study is conducted in partnership between the Department of Social Services, the Australian Institute of Family Studies, and the Australian Bureau of Statistics. The findings and views reported in this paper are solely those of the authors. MW and JW had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Research Electronic Data Capture (REDCap) tools were used in this study. More information about this software can be found at: www.project-redcap.org. We thank the LSAC and CheckPoint study participants, staff and students for their contributions.
Funding
This work was supported by the Australian National Health and Medical Research Council (NHMRC) Project Grants [1041352, 1109355]; The Royal Children’s Hospital Foundation [2014-241]; the Murdoch Children’s Research Institute; The University of Melbourne; the National Heart Foundation of Australia [100660]; Financial Markets Foundation for Children [2014-055, 2016-310]; and the Victorian Deaf Education Institute. Research at the Murdoch Children’s Research Institute is supported by the Victorian Government’s Operational Infrastructure Support Program. The funding bodies did not play any role in the study. JW and KL were supported by a Melbourne Children’s LifeCourse postdoctoral fellowship, funded by Royal Children’s Hospital Foundation grant [2018-984]. ML was supported by Melbourne Research Scholarship and the Murdoch Children’s Research Institute PhD Top Up Scholarship. The following authors were supported by the NHMRC: VS (Early Career Fellowship [1125687]), DB (Senior Research Fellowship [1064629]) and MW (Principal Research Fellowship [1160906]) in this work. VS was additionally supported by a Cottrell Research Fellowship from the Royal Australasian College of Physicians.
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MW conceived and led the CheckPoint study with the CheckPoint team, and was LSAC’s Health Design Leader. MW was the primary student supervisor, along with VS and RS, and oversaw all aspects of the study and the manuscript preparation. DB led the Metabolomics. JW performed data analysis and wrote the main paper. ML and AG advised on statistical issues and interpretation. MW, KL, RS and DB provided critical expert advice and critical review of this manuscript. All authors critically reviewed the manuscripts and had final approval of the submitted and published version of this paper.
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Wang, J., Liu, M., Sung, V. et al. Does inflammation mediate the association between obesity and hearing status in mid-childhood and mid-life?. Int J Obes 46, 1188–1195 (2022). https://doi.org/10.1038/s41366-022-01080-9
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DOI: https://doi.org/10.1038/s41366-022-01080-9