Skip to main content

Hearing health survey of the population in Bangkok

Abstract

In this cross-sectional random survey among Thai adults living in Bangkok, we aimed to identify the prevalence of hearing problems and examine their relationship with individual factors. We administered a self-report questionnaire and performed pure-tone air conduction threshold audiometry. A total of 2463 participants (1728 female individuals) aged 15–96 years were included. The hearing loss prevalence was 53.02% and increased with age. The prevalence of a moderate or greater degree of hearing impairment was 2.8%. Participants aged 65 years and over had 8.56 and 6.79 times greater hearing loss and hearing impairment than younger participants, respectively. Male participants were twice as likely to have hearing loss and hearing impairment as female individuals. Participants with higher education levels showed less likelihood of having hearing loss and hearing impairment than those with no or a primary school education. Participants who ever worked under conditions with loud noise for > 8 h per day had 1.56 times greater hearing loss than those without such exposure. An inconsistent correlation was found between hearing loss, hearing impairment and noncommunicable diseases (diabetes, hypertension, and obesity). Although most participants had mild hearing loss, appropriate care and monitoring are necessary to prevent further loss in such individuals. The questionnaire-based survey found only people with hearing problems that affect daily communication.

Peer Review reports

Background

Hearing is a necessary sense for communication at all ages. Hearing permits humans to learn and progress in speech and language development, which helps lead to a good quality of life. Hearing loss at birth or later in life has multiple effects, including impaired cognitive function, especially in adults and older individuals.Without awareness and a proper diagnosis of hearing loss, including treatment, older individuals may experience dementia earlier than expected [1].

Hearing impairment is one of the most common sensory disorders, according to data from the World Health Organization (WHO), and more than 466 million people worldwide have disabling hearing loss [2]. According to data from the National Institute on Deafness and Other Communication Disorders, 15% of the population over the age of 18 years (37.5 million people) have hearing problems [3]. In a hearing screening study in 2001, Jariengprasert et al. [4] found that the incidence of moderate to severe hearing loss in both ears was 1.7 per 1000 infants born in Ramathibodi Hospital. In 2002, Bunnag et al. [5] performed hearing screening among 980 people between the ages of 60 and 69 years from 14 communities around Siriraj Hospital and found that 52.4% of people had hearing problems.

The prevalence of moderate to severe hearing loss that affects everyday communication varies across the six WHO regions, from 3.1% in the Eastern Mediterranean Region to 7.1% in the Western Pacific Region and 5.5% in the South-East Asia region [6]. Although hearing surveys and studies have been conducted in Thailand, a reliable estimate of hearing loss among the country’s population has not yet been established, hindering the development of policies to manage hearing loss at a national level. On July 4, 2022, the National Health Security Board put forth a resolution to include newborn hearing screening in the Universal Coverage Scheme health benefits package with an announcement that every Thai newborn is eligible for free hearing screening.

The present hearing survey was carried out in the Bangkok area as part of the 6th Thai National Health Examination Survey, conducted as a joint study with the Department of Communication Science and Disorders, Department of Community Medicine, and Department of Otolaryngology of Ramathibodi Hospital, Mahidol University.This preliminary study of hearing health aimed to examine the prevalence of hearing loss and hearing impairment as well as the relationship between hearing problems and individuals factors in the adult population of Bangkok.

Methods

Participants

In this study, we used a cross-sectional design and included participants residing in Bangkok who were part of the 6th National Health Examination Survey. The survey method has been described previously [7]. In brief, a multistage sampling method was applied. The first step involved randomly selecting 15 districts from among 50 districts of Bangkok. Second, in each selected district, 3–5 enumeration areas (EUs) were defined in a proportional-to-size approach, resulting in a total of 60 selected EUs. The third step comprised systematic random sampling based on data from the Ministry of the Interior. Using this method, we selected 40 individuals aged 15 years or older from each EU. We aimed to include a total of 2400 participants, accounting for a non-response rate of 20%.

Methods

The period of data collection was from October 2019 to October 2020. Participants who were unable to complete the questionnaire or communicate effectively with the researcher were excluded from the study. All participants underwent hearing tests using an Amplaid A177 Plus audiometer and TDH39 circumaural headphones to assess the pure-tone air conduction threshold at frequencies of 500–8000 Hz. The examination was conducted in a quiet room with minimal ambient noise, which was periodically measured and controlled to less than 70 dBA [8] and adjusted via biological calibration to ensure accurate measurement of hearing ability. Audiometric measurements were conducted by trained audiologists under the supervision of senior audiologists (SR, KL, RS, JS, MC) from the Department of Communication Disorders.

Pure-tone thresholds were obtained using short tone bursts presented at a clearly audible level, usually 35–50 dBHL (relative to high ambient noise), then decreasing by 10-dBHL intervals until the patient no longer responded, and increasing again in 5-dB steps. To determine the hearing threshold, two out of three responses in ascending order at the same intensity (dBHL) were required. Thresholds at 500, 1000, 2000, 4000 and 8000 Hz for each ear were recorded, and the thresholds at 500–4000 Hz for each ear were averaged (pure-tone threshold average, PTA) and analyzed. Participants with hearing thresholds higher than 25 dBHL at any frequency were identified as having hearing loss. The hearing impairment grading system was applied to indicate the initial hearing levels (PTA) based on the better ear and the level of hearing ability that has an impact on communication (Table 1) [9].

Table 1 Definition and characteristics on grades of hearing impairment according to level of hearing loss, listening performance and recommendation [9]

Participants with hearing loss were referred to an otolaryngologist for further analysis of their background and for otologic examination, counseling, and/or consultation with their local service unit, according to the patients’ rights, for further care and monitoring.

Self-report questionnaire on individual factors

All participants in this study were drawn from the 6th National Health Examination Survey and asked to complete the questionnaire and complete all tasks and tests within 3 h. The basic information of all participants was retrieved from the main survey project. In the hearing assessment portion, a short form yes/no self-report questionnaire was administered to collect information on respondents’ hearing-related behaviors, including their occupation, whether they worked in a noisy environment for more than 8 h per day, whether they listened to music on a mobile phone for more than 4 h per day, and whether they experienced tinnitus.

Statistical analysis

Descriptive statistics were used to determine the frequency and percentage of study variables. The relationship between hearing level and individual factors was analyzed using logistic regression. Because the population had a wide age distribution, the results were calculated as age-adjusted odds ratios with 95% confidence intervals. The significance level was set to 0.05. The estimates were calculated by incorporating probability weights derived from the complex survey design and presented in percentages of the population [7]. The chi-square (X2) test was used to compare the percentage of hearing loss between subgroups of individual parameters, with a significance level of 0.05. All data were analyzed using SPSS version 18 (SPSS Inc., Chicago, IL, USA).

Results

A total of 2463 participants were included, with an average age of 56.96 ± 15.11 years (range, 15–96 years). The weighted average ambient noise was 63 ± 7.44 dBA, an acceptable level according to ASHA guidelines for identifying hearing screening failures with a gradual increase in ambient noise up to 70 dBA [8].

According to hearing threshold, all participants were divided into two categories, those with normal hearing and those with hearing loss. The two groups were classified into subgroups according to their individual characteristics, as shown in Table 2. The proportions in each subgroup with normal hearing and hearing loss were significantly different (p < 0.001). The proportion of male participants with hearing loss was greater than that among female participants (66.12% vs. 47.45%). The proportion with hearing loss in participants aged 65 years or more was greater than that in younger participants (84.89% vs. 37.30%). The proportion with hearing loss among participants with a primary school education and no education was larger than that among participants with a secondary school and those with higher education levels (63.82% vs. 43.68% and 40.74%, respectively). The proportion of participants with hearing loss was highest among widows and widowers compared to divorced, single and married (70.49% vs. 61.06%, 31.40%, 53.41%). The rate of hearing loss among participants with diabetes was higher than that in participants without diabetes (80.63% vs. 49.55); the same was true for participants with hypertension in comparison with participants who did not have hypertension (67.13% vs. 47.46%). The proportion with hearing loss among participants with tinnitus was greater than that among participants without tinnitus (66.92% vs. 49.43%). Although participants with obesity had a higher rate of hearing loss, this was not statistically significant (54.63% vs. 48.83%). Overall, hearing loss was found in 1306 of 2463 participants, with a hearing loss prevalence of 53.02%.

Table 2 Percentage of hearing loss according to personal profiles and physical characteristics

Of 1306 participants, 1264 were referred for an otologic examination. After the examination, 275 patients (21.76%) showed abnormal findings, with 99 patients (7.83%) having problems in both ears and 176 showing abnormalities in one ear (13.92%). The following outer and middle ear abnormalities were identified in these patients: (1) impact cerumen (n = 129, 10.21%); (2) tympanic membrane (TM) perforation (n = 36, 2.85%); (3) eardrum abnormality (n = 35, 2.77%); (4) other abnormalities including old healed TM perforation, retracted TM, erythematous TM, tympanosclerosis, otitis externa, and otomycosis (n = 49, 3.87%); and (5) various findings in both ears such as minimal cerumen, partially visible TM, foreign body and etc. (n = 26, 2.06%).

Table 3 shows cumulative proportions with hearing loss among 1306 participants, categorized by age interval and sex. The prevalence of hearing loss increased with advancing age intervals of 15, 25, 35, 45, 55, 65 and 75 years, with rates of 1.67%, 7.84%, 17.76%, 31.06%, 57.12%, 79.96%, and 96.33%, respectively. Most patients with hearing loss were aged 55 years or over, accounting for 1108 patients (44.98%). In the age group less than 55 years of age, 198 (8.04%) patients were identified as having hearing loss. Specifically, 691 (28.05%) patients aged 65 years or older exhibited hearing loss. With regard to sex, 486 (66.12%) of 735 men and 820 (47.45%) of 1728 women had hearing loss.

Table 3 The cumulative percentage of participants with hearing loss according to age interval and gender. Participants with hearing loss at any frequency of all degree were included. Cumulative percentage shows the prevalence of hearing loss advancing with age which the majority of cases were found in the participants aged 55 years and older

Table 4 shows participants categorized according to degree of hearing impairment, age, and sex. According to hearing impairment classifications (Table 1), 659 participants (26.76%) had hearing loss at some frequencies with a normal PTA level (≤ 25 dBHL); 295 participants (11.98%) with hearing loss at a high frequency (8000 Hz) were classified having no hearing impairment. A mild degree of hearing impairment was found in 283 participants (11.98%). Sixty-nine of 2463 participants (2.79%) were found to have moderate to profound degrees of hearing. A severe degree of hearing impairment was most commonly observed in the age group 45 years and over. Among those aged 75 years or more, 34 participants (1.38%) had a severe degree of hearing impairment, followed by 21 participants (0.85%) in the age group 65–74 years. Moderate to severe and profound hearing impairment was identified in 37 women (1.50%) and 32 men (1.30%). Overall, the prevalence of all levels of hearing impairment was 14.29% (352/2463), including 2.8% (69/2463) with a moderate to severe or profound degree of impact on everyday communication.

Table 4 Percentage of participants with degrees of hearing impairment according to age interval. (With an average hearing degree in the good ear)

Table 5 presents the correlation between hearing loss or hearing impairment and individual factors in terms of age, sex, common non-communicable diseases (NCDs), and hearing-related behaviors. Compared with younger groups, participants aged 65 years and over had more significant hearing loss and hearing impairment, by 8.56 and 6.79 times, respectively. More male than the female participants had hearing loss and hearing impairment, by 2.56 and 2.35 times, respectively. Participants with a secondary education and no or primary school education were found to have 1.36 and 2.66 times greater hearing loss and 1.58 and 2.69 times greater hearing impairment in comparison with participants who had a higher education level.

Table 5 Age adjusted Odds Ratio (OR) for personal factors correlation with Hearing Loss (HL) and Hearing Impairment (HI)

We found that participants with hypertension had 1.75 times greater hearing loss than those without this condition, with no significant correlation to hearing impairment. Participants with obesity were found to have 0.89 times lower hearing impairment than those without obesity, with no significant correlation to hearing loss. No correlation was found between hearing problems and diabetes. Those with exposure to loud noise at work ≥ 8 h per day were found to have greater hearing loss by 1.56 times in comparison participants who had no such exposure, with no correlation found with hearing impairment. However, a significant negative correlation was found with hearing impairment among participants who listened to music on a mobile phone for < 1 h per day compared with those who listened to music on their phone for 1–4 and > 4 h, by 0.71 and 0.61 times, respectively.

Discussion

In this research, we explored the prevalence of hearing loss and hearing impairment among the Thai population residing in Bangkok and the association of hearing problems with related individual factors. According to our results, the prevalence of all degrees of hearing loss was as high as 53.02% of the total participants. Most participants with hearing loss (44.98%) were in the age group 55 years or over, consistent with a study by Newall et al. (2020) [10]. The reported prevalence of hearing loss in the Philippines is 48.1%, and the prevalence of hearing loss in adults’ ranges from 34.1 to 39.4% [10,11,12]. Bunnag et al. (2002), surveyed a population between age 60 and 69 years and reported a hearing loss prevalence of up to 52.4% [5]. When considering the impact of age, it has been observed that the prevalence of hearing loss increases with advancing age, which is consistent with the findings of Xuewen et al. (2021) [13].

Using the hearing impairment grading system, the prevalence of moderate to severe hearing loss among our population in Bangkok was 2.8%, consistent with the findings of Ferrite [14] in northwest Cameroon, where the prevalence of moderate or greater hearing loss was reported to be 3.6%. However, this prevalence was lower compared with studies in the Philippines and China, with a reported prevalence of 15% and 16.3%, respectively [10, 15] Differences in the prevalence of hearing loss/hearing impairment are probably owing to factors such as differences in population size, sampling strategies, definitions or criteria for grading hearing loss, and the prevalence of outer and middle ear diseases in the study population.

In Southeast Asia, the prevalence of moderate to severe hearing loss affecting everyday communication is 5.5%, derived from responses to a questionnaire [6]. Reports from a large-scale Thai survey among 87,134 adults aged 15–87 years revealed that 8.5% had hearing problems, 0.13% had profound hearing loss, 7.7% had hearing problems from the age of 13 years, and most respondents aged 50 years and older experienced hearing problems [16]. A hearing loss survey with one-answer questions (sensitivity 78%, specificity 67%) showed an increase in comparison with test results for minor hearing loss, with no relation to sex or age [17]. Moreover, results of the 6th National Health Examination Survey, the leading nationwide project using questionnaires in hearing assessment, revealed that 1.2% of elderly respondents had severe hearing problems [7]. A questionnaire and interview about hearing problems and hearing ability including ‘yes/no’ questions revealed a lower prevalence than instrumental measurement of hearing function.

The results of our study showed that most participants with hearing loss (approximately 50%) had no hearing impairment and no impact on their daily communication. This type of hearing loss occurs silently, progresses slowly, and is difficult to detect, resulting in the lack of any prevention measures implemented to slow progression of the condition. In contrast, hearing loss in both ears or in only one ear, at the speech frequencies required for daily communication, is detected more easily, enabling affected individuals to seek timely and appropriate care. Our results showed that hearing loss increases with age [18] and affects daily activities. For those aged 65 years or over, the condition may be associated with a greater risk of dementia.

Relationship between hearing loss/hearing impairment and individual factors

Age

All the human senses decline with age; however, hearing function is most commonly affected [19]. Age has a strong impact on hearing loss, which is consistent with the results of several studies [20,21,22,23,24,25,26,27,28,29,30]. At age 65 years or over, we found a significant 8.56 times greater likelihood of experiencing hearing loss as compared with younger ages.

Sex

In this study, we found that men were twice as likely to develop hearing loss as women. A Korean study reported significantly higher rates of hearing loss at 4000 Hz and 8000 Hz among men than in women [31]. Wang revealed a prevalence of hearing loss of 37.6% in men and 36.0% in women [32].

There are variations in the results of different related studies, including the leading projects nationwide, with a prevalence of hearing problems among men and women of 41.2% and 54.9%, respectively [7], reported in one study. Another study found an average prevalence of hearing loss for women and men of 42.3% and 36.8%, respectively [13]. These differences may be owing to different survey methods and lifestyles in different countries.

Education level

The results of our study showed that fewer participants with higher levels of vocational and postgraduate education had hearing loss and hearing impairment in comparison with participants who had a secondary or elementary school education or no education. This is consistent with the results from a study in China on lifestyle and environmental factors [13] and is probably owing to better health literacy with a higher education level.

Several studies have revealed a relationship between hearing loss and NCDs [33,34,35], in contrast to our observation regarding the association of hearing impairment with diabetes, hypertension, and obesity. In this study, hypertension was correlated with hearing loss but diabetes and obesity were not. Additional disease-related indicators such as blood pressure level, blood glucose level, and changes in body mass index should be evaluated to identify whether any correlation exists with hearing loss. Confounding factors such as smoking, sleep apnea, dyslipidemia, and other NCDs not considered in this study, which exists in some participants would result in a high prevalence of hearing problems [7]. Whether these NCDs contribute to hearing loss should be investigated in further research.

Noise-induced hearing loss is related to several factors including the type of sound, loudness, duration of exposure, total cumulative lifetime dosage, and individual susceptibility [36, 37]. In this study, exposure to noise in the working environment for a long period showed a higher correlation with hearing loss whereas listening to other types of sound, such as listening to music using a mobile phone, showed a reverse correlation. The information from our interviews did not include all factors affecting hearing ability, so more comprehensive interviews and questionnaires [38] should be conducted for more detailed investigation.

Conclusion

The results of this research showed that our participants from the general population of Bangkok aged 15 years and over had a prevalence of hearing loss of 53.02%, which increased with age. The majority of the participants (50.23%), had no or mild hearing impairment giving a prevalence of hearing impairment of 2.8%. Individuals who are asymptomatic or had mild symptoms require appropriate care and monitoring to prevent premature hearing loss. We also found that participants aged between 55 and 74 years had moderate levels of hearing loss, up to profound hearing loss. Further diagnosis and hearing aids must be provided to such individuals to improve their communication and quality of life.

Older people who have noise exposure, symptoms of tinnitus, notification by a close relative about hearing problems, or underlying diseases related to hearing loss should seek hearing evaluation, proper assessment, and medical care. Our questionnaire-based survey could only identified people with hearing problems that affect their daily communication, which is not equivalent to the actual prevalence of hearing loss. The results of this research provide baseline information for further population surveys in the region to improve hearing-related policies at the national level and budgeting for the provision of hearing aids for individuals with hearing disorders.

Limitations

This study was conducted in Bangkok, so the estimated prevalence cannot be generalized to the national level. During the COVID-19 outbreak, there were limitations in conducting data surveys and managing research teams while adhering to COVID-19 prevention measures. These limitations included participants’ refusal to be tested and challenges in communication owing to the use of facial masks. In future surveys, the use of technologies such as mobile applications should be considered to enhance self-screening for hearing impairment. Ongoing studies should explore the effectiveness of such applications.

According to the hearing loss scale related to hearing experience of the World Report on Hearing 2021, normal hearing should remain at a hearing threshold of less than 20 dBHL [6]. If applied in this study, the scale would reduce the percentage of participants with normal hearing from 46.98 to 2.19%, resulting in an extremely high prevalence of hearing loss (i.e., 98%). However, this scale seems appropriate for pediatric studies conducted in a well-controlled measurement environment, such as a sound-proof room. In the present hearing survey, most measurements were conducted in a partially controlled environment, usually with relatively high ambient noise.

Data availability

The datasets generated and/or analyzed in the current study are not publicly available in English, only in Thai language. However, these data are available from the corresponding author on reasonable request. The data that support the findings of this study are available from Mr. Weerapat Punkla (pw.golfzawe@gmail.com); however, restrictions apply regarding the availability of these data, which were used under license for the current study.

References

  1. Packer L. New study shows hearing loss impacts brain function. 2019: https://dennisonhearing.com/news/new-study-shows-hearing-loss-impacts-brain-function.

  2. The World Health Organization. Addressing the rising prevalence of hearing loss. Geneva: The World Health Organization; 2018.

    Google Scholar 

  3. Victory J. Hearing loss. 2021: https://www.healthyhearing.com/help/hearing-loss.

  4. Jariengprasert C, Lertsukprasert K, Kasemsuwan L, Nuntnarumit P. Universal newborn hearing survey using otoacoustic emissions: an one year incidence in Ramathibodi Hospital. Thai J Otolaryngol Head Neck Surg. 2003;4(1):27–41.

    Google Scholar 

  5. Bunnag C, Prasansuk S, Nakorn AN, Jareoncharsri P, Atipas S, Angsuwarangsee T, et al. Ear diseases and hearing in the Thai elderly population. Part I. A comparative study of the accuracy of diagnosis and treatment by general practitioners vs ENT specialists. J Med Assoc Thai. 2002;85(5):521–31.

    PubMed  Google Scholar 

  6. World report on hearing. Licence: CC BY-NC-SA 3.0 IGO. Geneva: World Health Organization; 2021.

    Google Scholar 

  7. Chautrakarn S, Ong-Artborirak P, Naksen W, Thongprachum A, Wungrath J, Chariyalertsak S, Stonington S, Taneepanichskul S, Assanangkornchai S, Kessomboon P, Neelapaichit N, Aekplakorn W. Stigmatizing and discriminatory attitudes toward people living with HIV/AIDS (PLWHA) among general adult population: the results from the Thai National Health Examination Survey (NHES VI). J Glob Health. 2023;13:04006.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Saunders GH, Frederick MT, Silverman SC, Penman T, Gardner A, Chisolm TH, Escabi CD, Oree PH, Westermann LC, Sanchez VA, Arnold ML. Hearing screening in the community. J Am Acad Audiol. 2019;30:145–52. https://0-doi-org.brum.beds.ac.uk/10.3766/jaaa.17103.

    Article  PubMed  Google Scholar 

  9. Olusanya BO, Davis AC, Hoffman HJ. Hearing loss grades and the International classification of functioning, disability and health. Bull World Health Organ. 2019;97(10):725–8.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Newall JP, Martinez N, Swanepoel W, McMahon CM. A national survey of hearing loss in the Philippines. Asia Pac J Pub Health. 2020;32(5):235–41.

    Article  Google Scholar 

  11. Judee N, Charusripan P. Sensitivity and specificity of the hearing handicap inventory for elderly-screening Thai version. J Med Assoc Thai. 2020;103(1):32–7.

    Google Scholar 

  12. Rosdina A, Leelavathi M, Zaitun A, Lee V, Azimah M, Majmin S, et al. Self reported hearing loss among elderly malaysians. Malays Fam Physician. 2010;5(2):91–4.

    PubMed  PubMed Central  Google Scholar 

  13. Xuewen Y, Jianbo G. The prevalence of hearing loss in different age groups, gender and hearing threshold: a systemic review. Int J Med Res Health Sci. 2021;10(1):30–7.

    Google Scholar 

  14. Ferrite S, Mactaggart I, Kuper H, Oye J, Polack S. Prevalence and causes of hearing impairment in Fundong Health District, North-West Cameroon. Trop Med Intern Health. 2017;22(4):485–92.

    Article  Google Scholar 

  15. Bright T, Shan X, Xu J, Liang J, Xiao B, Ensink R, et al. Field-testing of a rapid survey method to assess the prevalence and causes of hearing loss in Gao’an, Jiangxi Province, China. Arch Public Health. 2020;78:16.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Yiengprugsawan V, Hogan A, Harley D, Seubsman S, Sleigh AC. Epidemiological associations of hearing impairment and health among a national cohort of 87,134 adults in Thailand. Thai Cohort Study Team. Asia Pac J Public Health. 2012;24(6):1013–22. https://0-doi-org.brum.beds.ac.uk/10.1177/1010539511408712.

    Article  PubMed  Google Scholar 

  17. Sindhusake D, Mitchell P, Smith W, Golding M, Newall P, Hartley D, et al. Validation of self-reported hearing loss. The Blue Mountains hearing study. Inter J Epidemiol. 2001;30(6):1371–8.

    Article  CAS  Google Scholar 

  18. Agrawal Y, Platz EA, Niparko JK. Prevalence of hearing loss and differences by demographic characteristics among US adults: data from the National health and nutrition examination survey, 1999–2004. Arch Intern Med. 2008;168(14):1522–30.

    Article  PubMed  Google Scholar 

  19. Howarth A, Shone GR. Ageing and the auditory system. Postgrad Med J. 2006;82:166–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Lin FR, Thorpe R, Gordon-Salant S, Ferrucci L. Hearing loss prevalence and risk factors among older adults in the United States. J Gerontol. 2011;66:582–90.

    Article  Google Scholar 

  21. Cacciatore F, Napoli C, Abete P, Marciano E, Triassi M, Rengo F. Quality of life determinants and hearing function in an elderly population: osservatorio Geriatrico Campano Study Group. Gerontology. 1999;45:323–8.

    Article  CAS  PubMed  Google Scholar 

  22. Dalton DS, Cruickshanks KJ, Klein BE, Klein R, Wiley TL, Nondahl DM. The impact of hearing loss on quality of life in older adults. Gerontologist. 2003;43:661–8.

    Article  PubMed  Google Scholar 

  23. Gopinath B, Rochtchina E, Wang JJ, Schneider J, Leeder SR, Mitchell P. Prevalence of age-related hearing loss in older adults. The Blue mountains Study. Arch Intern Med. 2009;169:415–6.

    Article  PubMed  Google Scholar 

  24. Hogan A, O’Loughlin K, Miller P, Kendig H. The health impact of a hearing disability on older people in Australia. J Aging Health. 2009;21:1098–111.

    Article  PubMed  Google Scholar 

  25. Lohler J, Walther LE, Hansen F, Kapp P, Meerpohl J, Wollenberg B, Schonweiler R, Schmucker C. The prevalence of hearing loss and use of hearing aids among adults in Germany: a systematic review. Eur Arch Otorhinolaryngol. 2019;276:945–56.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Nirmalasari O, Mamo SK, Nieman CL, Simpson A, Zimmerman J, Nowrangi MA, Lin FR, Oh ES. Age-related hearing loss in older adults with cognitive impairment. Int Psychogeriatr. 2017;29:115–21.

    Article  PubMed  Google Scholar 

  27. Lin FR, Niparko JK, Ferrucci L. Hearing loss prevalence in the United States. Arch Intern Med. 2011;171:1851–2.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Goa R, et al. Hearing loss prevalence and risk factors among older adults in China. Inter J Audiol. 2018;57(5):354–9.

    Article  Google Scholar 

  29. Im GJ, et al. Prevalence of severe-profound hearing loss in South Korea: a nationwide population-based study to analyse a 10-year trend (2006–2015). Sci Rep. 2018;8(1):1–9.

    Article  Google Scholar 

  30. Wang J, et al. A cross-sectional study on the hearing threshold levels among people in Qinling, Qinghai, and Nanjing, China. Am J Audiol. 2018;27(1):147–55.

    Article  PubMed  Google Scholar 

  31. Kim SH, Lim EJ, Kim HS, Park JH, Jarng SS, Lee SH. Sex differences in a cross sectional study of age-related hearing loss in Korean. Clin Exper Otorhinolaryngol. 2010;3(1):27–31.

    Article  Google Scholar 

  32. Wang J, Wang F, Han P, Liu Y, Ma W, Zhang H, Yu X, Xie F, Niu S, Hu H, Zhu X, Wang H, Yu Y, Guo Q. Genderspecific associations of speechfrequency hearing loss, highfrequency hearing loss, and cognitive impairment among older community dwellers in China. Aging Clin Exper Res. 2022;34:857–68. https://0-doi-org.brum.beds.ac.uk/10.1007/s40520-021-01990-0.

    Article  Google Scholar 

  33. Meneses-Barriviera CL, Bazoni JA, Doi MY, Marchiori LLM. Probable association of hearing loss, hypertension and diabetes mellitus in the elderly. Int Arch Otorhinolaryngol. 2018;22(4):337–41. https://0-doi-org.brum.beds.ac.uk/10.1055/s-0037-1606644.

    Article  PubMed  Google Scholar 

  34. Kim SH, Won YS, Kim MG, Baek YJ, Oh IH, Yeo SG. Relationship between obesity and hearing loss. Acta Otolaryngol. 2016;136(10):1046–50. https://0-doi-org.brum.beds.ac.uk/10.1080/00016489.2016.1179787.

    Article  PubMed  Google Scholar 

  35. Ruencharoen S, Jariengprasert C, Tiensuwan M, Ngarmukos C. Comparison of Otoacoustic Emissions in Asymptomatic Diabetes Mellitus and Normal Hearing Control Groups. Rama Med J [Internet]. 2019;28;42(2):12–20. [cited 2022 Apr. 21] from: https://he02.tci-thaijo.org/index.php/ramajournal/article/view/139031.

  36. Feuerstein J, Chasin M. Noise exposure and issues in hearing conservation. Chapter 30 in Katz J. editor-in-chief. Handbook of clinical audiology, 6th edit, 2009; Wolters Klywer/Lippincott Williams&Wilkins, PA:pp. 678– 98.

  37. Jiang W, Zhao F, Guderley N, Manchaiah V. Daily music exposure dose and hearing problems using personal listening devices in adolescents and young adults: a systematic review. Int J Aud. 2016;55:197–205.

    Article  Google Scholar 

  38. Guest H, Dewey RS, Plack CJ, Couth S, Prendergast S, Bakay G, Hall W. The noise exposure structured interview (NESI): an instrument for the comprehensive estimation of lifetime noise exposure. Trends Hear. 2018;22:1–10.

    Google Scholar 

Download references

Acknowledgements

The research team appreciates the strong support received from Mr. Weerapat Punkla, statistician, Department of Communication Science and Disorders. His contribution in coordinating with agencies to obtain the data for analysis was key to this study. Moreover, collaboration and coordination with Assistant Professor Dr. Nareeman Neelapaichit for data collection in Bangkok facilitated the process. Assistance from all contributors, including audiologists and resident physicians of the Department of Otolaryngology, in the process of data collection despite the COVID-19 situation was extremely valuable. We would also like to thank all study participants and their families for providing useful information for further development of the hearing conservation project. Finally, we thank Analisa Avila, MPH, ELS, of Edanz (www.edanz.com/ac) for editing a draft of this manuscript.

Funding

This study was supported by the Faculty of Medicine, Ramathibodi hospital, Mahidol University.

Open access funding provided by Mahidol University

Author information

Authors and Affiliations

Authors

Contributions

SR, KL, RS - reviewed and proposal preparation, EC submission, grant permission; JS, MC - survey protocol, hearing screening tests; WA - coordinator with the Thai National Health Examination Survey (NHES VI), statistic consultation; CJ - ENT examination, wrote the main manuscript, submission, corresponding author; SK, TW - ENT examination, otologic consultation; All authors reviewed the manuscript.

Corresponding author

Correspondence to Chanchai Jariengprasert.

Ethics declarations

Ethics approval and consent to participate

The Institutional Review Board of Mahidol University approved this study. The study was in full compliance with International Guidelines for Human Research Protection such as the Declaration of Helsinki, The Belmont Report, CIOMS Guidelines, and the International Conference on Harmonization in Good Clinical Practice (ICH-GCP). All informed consent for study participation was written in Thai language and are not available in English. Informed consent was obtained from all participants in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ruencharoen, S., Lertsukprasert, K., Suvanich, R. et al. Hearing health survey of the population in Bangkok. BMC Public Health 24, 1024 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-024-18424-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-024-18424-x

Keywords