Subclinical Hearing Loss, Longer Sleep Duration, and Cardiometabolic Risk Factors in Japanese General Population

Nakajima, Kei; Kanda, Eiichiro; Hosobuchi, Ami; Suwa, Kaname

doi:https://doi.org/10.1155/2014/218218

International Journal of Otolaryngology

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Abstract Introduction Methods Results Discussion Limitations Conclusion References Copyright Related Articles

Research Article | Open Access

Volume 2014 | Article ID 218218 | https://doi.org/10.1155/2014/218218

Subclinical Hearing Loss, Longer Sleep Duration, and Cardiometabolic Risk Factors in Japanese General Population

Kei Nakajima,¹Eiichiro Kanda,²Ami Hosobuchi,¹and Kaname Suwa³

Academic Editor: Myer III Myer

Received30 May 2014

Revised06 Jul 2014

Accepted20 Jul 2014

Published12 Aug 2014

Abstract

Hearing loss leads to impaired social functioning and quality of life. Hearing loss is also associated with sleeping disorders and cardiometabolic risk factors. Here, we determined whether subclinical hearing loss is associated with sleep duration and cardiometabolic risk factors in a cross-sectional and longitudinal study of healthy Japanese general population. 48,091 men and women aged 20–79 years who underwent medical checkups were included in a cross-sectional study, and 6,674 were included in an 8-year longitudinal study. The prevalence of audiometrically determined hearing loss (>25 dB) at 4000 and 1000 Hz increased significantly with increasing sleep duration in any age strata. Logistic regression analysis showed that compared with reference sleep duration (6 h) longer sleep duration (≥8 h) was significantly associated with hearing loss, even after adjusting for potential confounding factors. Simultaneously, hearing loss was significantly associated with male sex, diabetes, and no habitual exercise. In the longitudinal study, the risk of longer sleep duration (≥8 h) after 8 years was significantly greater in subjects with hearing loss at 4000 Hz at baseline. In conclusion, current results suggest a potential association of subclinical hearing loss with longer sleep duration and cardiometabolic risk factors in a Japanese general population.

1. Introduction

The progressive aging of society is leading to an increase in the prevalence of hearing loss worldwide. Although hearing loss is not directly life threatening, it may impair social functioning and quality of life, causing isolation, frustration, and impaired communication [1–6]. Meanwhile, several studies have revealed that sleeping disorders such as insomnia and daytime sleepiness are associated with hearing impairments, including hearing loss and tinnitus [7–10]. Therefore, some factors associated with sleep may be associated with hearing loss. To date, however, no study has examined the putative association between hearing loss and sleep duration.

In this context, we focused on subclinical objective hearing loss, which is often undetected and left untreated [4, 6], and investigated the lifestyles of individuals with subclinical hearing loss and the etiology of subclinical hearing loss. Because frequency of 500 to 4000 Hz is important range for speech processing [6], we determined whether hearing function at representative high (4000 Hz) and low (1000 Hz) frequencies, which are usually examined in a hearing screening test in Japan [11–13], was associated with lifestyle factors, including sleep duration per night and cardiometabolic risk factors, in a cross-sectional study of Japanese general population.

Because hearing loss has been shown to be associated with cardiometabolic risk factors, such as diabetes and smoking [11–16], we considered these factors as relevant confounding factors and also examined the associations between hearing loss and these cardiometabolic risk factors. To examine the effects of subclinical hearing loss on the incidence of longer sleep duration (8 h and ≥9 h), we performed a retrospective 8-year longitudinal study in an independent group of subjects whose sleep duration was classified as normal or short (≤7 h) at baseline.

2. Methods

2.1. Study Design

This study was based on a composite research program that is being conducted to identify the factors associated with cardiometabolic and atherosclerotic diseases. The design of this study is described in more detail elsewhere [17]. This retrospective study consists of data recorded during annual medical checkups of asymptomatic individuals living or working in Saitama Prefecture, a suburb of Tokyo, Japan. The study started in 2011 and involves the collaboration of three institutions in Saitama: Jichi Medical University, Josai University, and Saitama Health Promotion Corporation. The protocol, which conforms to the Declaration of Helsinki, was approved by the Ethics Committee of Jichi Medical University and Josai University and by the Committee of the Saitama Health Promotion Corporation. Written informed consent was obtained from all participants. Since 1997, Saitama Health Promotion Corporation, a public interest corporation, has supported the health of individuals, including children and adolescents, living or working in Saitama Prefecture, primarily by carrying out various types of medical checkups [18].

2.2. Subjects

2.2.1. Cross-Sectional Study

We digitally stored data from 83 286 apparently healthy subjects aged 20–79 years old who underwent medical checkups at Saitama Health Promotion Corporation between April 1, 2007, and March 31, 2008. Subjects with diagnosed or undiagnosed self-reported hearing loss () were excluded from the analysis because the cause and treatment received (e.g., hearing aids and pharmacotherapy) were not available in this study. Subjects with self-reported depression and sleep apnea syndrome were also excluded because these conditions may affect sleep duration [19–22]. The exclusion criteria applied in this study and the disposition of subjects are shown in Figure 1. Subjects with self-reported tinnitus () were included because tinnitus was usually mild and was not always diagnosed by a physician in this study. Consequently, 48 091 subjects were included in the cross-sectional study.

2.2.2. Longitudinal Study

When we selected subjects for the longitudinal study from those included in the cross-sectional study, the number of subjects whose baseline sleep duration was normal or short (≤7 h) and who underwent the same checkup four times between April 1, 1999, and March 31, 2008 (8 years duration), was <1,000. Therefore, subjects included in the longitudinal study were identified from the original study population, which means the subjects included in the longitudinal study differed from those included in the cross-sectional study. However, the assessment of hearing loss and other laboratory tests were identical between the cross-sectional and longitudinal studies. After excluding subjects with incomplete data and those with known ear diseases, 6,774 subjects with normal or short sleep duration at baseline were included in the longitudinal study (Figure 1). During 8 years, many subjects abandoned the medical checkup held by Saitama Health Promotion Corporation (average proportions of not undergoing the same checkup next year was approximately one-fourth to one-third during 1999~2008) and changed to other checkups because of house moving, resignation, or change of jobs, child care, or family reasons, resulting in the decreased number of subjects in the longitudinal study.

2.2.3. Anthropometric, Laboratory, and Audiometric Tests

Anthropometric, laboratory, and audiometric tests were carried out in the morning. Serum parameters were measured using standard methods on Hitachi autoanalyzers (Tokyo, Japan) at Saitama Health Promotion Corporation. Hemoglobin (Hb) A1c was converted to national glycohemoglobin standardization program levels using a validated formula [23]. Unfortunately, fasting plasma glucose levels were not available in both studies. The hearing test was conducted in a quiet room by trained staff using an ordinary audiometer. Subclinical (objective) hearing loss was defined as a pure-tone average hearing loss of >25 dB at high (4000 Hz) and low (1000 Hz) frequencies.

2.2.4. Sleep Duration and Confounding Factors

Self-reported sleep duration per night, which was obtained as a response to the simple question about sleep, was divided into five categories (≤5, 6, 7, 8, and ≥9 h) according to previous studies [24, 25]. The duration of daytime nap was not taken into consideration in this study. Subjects completed a form to record history of cardiovascular disease (including stroke), complications (hypertension, diabetes, or dyslipidemia), alcohol consumption (no, occasional, 1–3 times/week, 4–6 times/week, or daily), smoking status (no, past, or current), regular exercise (≥30 min per time; no, occasional, once/week, or at least twice/week), and work duration (≤6, 7, 8, 9, 10, or ≥11 h). The influence of body weight was evaluated in terms of body mass index (BMI), which was divided into six categories (≤18.9, 19.0–20.9, 21.0–22.9, 23.0–24.9, 25.0–26.9, and ≥27.0 kg/m²). We took into consideration that WHO has proposed that BMI cutoff points for overweight and obesity for Asian populations should be lower (≥23.0 kg/m² and ≥27.5 kg/m², resp.) compared to Western populations [26]. Since the proportions of subjects classified as underweight (i.e., <18.5 kg/m²) or obese (i.e., ≥30.0 kg/m²) are very low (4.8% and 5.0%, resp.) in this study, we round up the low and high BMI cutoffs to 19 and 27 kg/m² (7.4% and 15.1%, resp.). The influence of systemic inflammation was roughly evaluated in terms of the circulating white blood cell count, a putative risk factor for cardiovascular disease [27–29], which was divided into quartiles. Because organic solvents can affect sleep duration [30, 31], the use of organic solvent in the workplace was taken into account, although the type was not recorded and the number of subjects was limited ().

2.2.5. Statistical Analysis

Data are expressed as means (SD) or medians (interquartile range). Differences in clinical parameters and categorical variables between the five categories of sleep duration were examined by one-way analysis of variance (ANOVA) and tests, respectively. The prevalence of hearing loss was first evaluated in four age groups (20–39, 40–49, 50–51, and 60–79 years) because advancing age is one of the main risk factors for hearing loss. In the cross-sectional study, multivariate logistic regression models were used to examine whether subclinical hearing loss was associated with lifestyle and cardiometabolic risk factors to calculate odds ratios (OR) and 95% confidence intervals (CI) with adjustment for relevant confounders. After sleep durations in five categories of sleep duration were coded as 5, 6, 7, 8, and 9 for ≤5 h, 6 h, 7 h, 8 h, and ≥9 h, respectively, associations between sleep duration as a continuous variable and hearing loss were examined. The associations between relevant confounders and hearing loss were also evaluated.

For the longitudinal analysis, multivariate logistic regression models were also used to examine the association between baseline hearing loss and risk of longer sleep duration (8 h and ≥9 h) after 9 years to calculate relative risk (RR) and 95% confidence interval (CI) because the incidence of longer sleep duration after 9 years was <10% and the ORs are expressed as relative risks in the longitudinal study [32]. In this analysis, the provisional reference BMI categories were defined as a BMI of 21.0–22.9 kg/m² based on the proposal by the World Health Organization regarding overweight and obese classifications for Asian populations [26]. Statistical analyses were performed using IBM-SPSS version 18.0 (PASW statistics 18; Chicago, IL, USA) and Statview version 5.0 (SAS Institute; Cary, NC, USA). Values of were considered statistically significant.

3. Results

3.1. Cross-Sectional Study

The clinical characteristics of the subjects are presented in Table 1. Subjects with longer sleep duration were more frequently men, were older, and had a shorter work duration, with increased numbers of cardiometabolic risk factors (especially decreased high-density lipoprotein cholesterol). BMI, white blood cell count, and the frequency of current smokers, no regular exercise, or use of organic solvents at work showed U- or J-shaped relationships with sleep duration. The prevalence of cardiovascular disease, hypertension, and diabetes increased with increasing sleep duration. Similarly, the prevalence of hearing loss increased with increasing sleep duration, irrespective of the left or right ear, or frequency. The proportions of manufacturing and construction workers were higher in the longer sleep duration groups (8 h and ≥9 h), whereas the opposite was true for the proportions of clerical, technical, and medical workers.

Figure 2 shows the prevalence of hearing loss according to age groups. The prevalence of hearing loss at 4000 Hz increased significantly with increasing sleep duration in any age strata except for younger age (20–39 years old). Likewise, the prevalence of hearing loss at 1000 Hz increased significantly with increasing sleep duration, particularly in the older age groups. However, there seemed to be a slight J-shaped relationship in subjects aged 60–79 years.

(a)

(b)

(c)

(d)

Figure 2

Prevalence of hearing loss according to age group. The number of subjects is shown under the column for hearing loss at 4000 Hz in the left ear (top-left panel). The numbers of subjects included in the other panels were identical. The percentage (%) above the column expresses the average of prevalence of hearing loss according to the age group. The prevalence of hearing loss at 4000 Hz, but not at 1000 Hz, increased significantly with increasing sleep duration in most age groups ( test). Left ear at 4000 Hz: 20–39 years, ; all other age groups, . Right ear at 4000 Hz: all age groups, . Left ear at 1000 Hz: 20–39 years, ; 40–49 years, ; 50–59 years, ; 60–79 years, . Right ear at 1000 Hz: 20–39 years, ; 40–49 years, ; 50–59 years, ; 60–79 years, . y.o.: years old.

Multivariate logistic regression analyses showed that, compared with sleep duration of ≤5 h, the other categories of sleep duration were significantly associated with hearing loss at 4000 and 1000 Hz at least in one ear (Table 2). Adjustment for confounding factors, including age and sex, markedly attenuated the associations, but changing the reference sleep duration category from ≤5 h to 6 h (Model 2b) or additional adjustment for the use of organic solvents at work (Model 3) did not. Likewise, sleep duration as a continuous variable was also significantly associated with hearing loss at 4000 and 1000 Hz.

Table 3 shows the ORs for the confounding factors, except age, for hearing loss. Male sex, diabetes, no regular exercise, and tinnitus were significantly associated with hearing loss at both frequencies, whereas regular alcohol consumption, but not daily alcohol consumption, was inversely associated with hearing loss. Low body weight, the highest quartile of white blood cell count (≥88.9 ×10²/μL), current smoking, and daily alcohol consumption were significantly associated with hearing loss at 4000 Hz. Work duration was significantly and inversely associated with hearing loss at 1000 Hz but not at 4000 Hz. Compared with clerical work, other work types, except managerial and medical work, were significantly associated with hearing loss at 4000 Hz (ORs 1.24–4.49) and 1000 Hz (ORs 1.34–1.90), even after controlling for confounding factors, including work duration (data not shown).

3.2. Longitudinal Study

The baseline clinical characteristics of subjects included in the longitudinal study (Table 4) are similar to those of the subjects included in the cross-sectional study (Table 1). Table 5 shows RRs of hearing loss at baseline for the longer sleep duration (≥8 hr) after 9 years. The risk of long sleep duration was significantly greater in subjects with hearing loss at 4000 Hz at baseline compared with subjects without such hearing loss. This increased risk remained significant after adjusting for potential confounding factors at baseline. Although subjects with hearing loss at 1000 Hz at baseline had a significantly higher risk for longer sleep duration, this disappeared after adjusting for fundamental confounding factors (Model 2).

4. Discussion

Our cross-sectional and longitudinal studies provide robust evidence that subclinical hearing loss, especially at high frequencies, is associated with longer sleep duration, which was particularly depicted in older age, independently of relevant lifestyle factors, cardiometabolic risk factors, and the use of organic solvents at work. These associations were not weakened when the reference sleep duration was changed to 6 h, the major sleep duration category in this study. Although several epidemiological studies have shown U- or J-shaped relationships between sleep duration and clinical disorders, such as obesity and diabetes [24, 33, 34], the relationship between hearing loss at 4000 Hz and sleep duration in our study was nearly linear in all of the age categories. Because many studies have shown that noise-induced hearing loss, a major form of acquired hearing loss [35], gradually begins around the frequency of 4000 Hz [36, 37], currently observed hearing loss might be attributable to a great extent to the long-term noise exposure, which was not measured in this study.

Regarding the cause-effect relationship, considering the results of our longitudinal study, it is likely that longer sleep duration may occur because of or in conjunction with hearing loss. In other words, subclinical hearing loss may be a predictor of long sleep duration, which may be related to the development of cardiometabolic disease [24, 33–38]. Hearing loss is also associated with dementia and cognitive impairment [39–42], whereas cognitive impairments, including Alzheimer disease, are associated with sleep and circadian problems [43–45]. Therefore, it is possible that long sleep duration might reflect other clinical conditions that were not examined in this study and that the currently observed associations may be spurious and unknown factors might mediate two conditions. Frustration and uneasiness associated with hearing loss or noisy daytime environments may reduce sleep quality and provoke insomnia [9, 10, 46] and may result in longer sleep durations. By contrast, once individuals with hearing loss do fall asleep, they could maintain good sleep without waking during the night. Hearing loss might also protect sleep by reducing the subjects’ awareness of environmental noise during sleep [8] and might prolong sleep duration [46–48].

Meanwhile, many previous studies have provided evidence that diabetes, cardiometabolic disease, and smoking are associated with hearing loss [11–16], plausibly through diabetic micro- and macroangiopathy [14, 49, 50]. Thus, like typical diabetic complications, hearing loss may be one of complications following diabetic or atherosclerotic etiologies. Nevertheless, there is also a possibility that long-time sleep in turn may deteriorate the pathophysiology of diabetes and atherosclerosis because of putative associations between long-time sleep and diabetes [24, 33–38]. Intriguingly, low BMI (i.e., low body weight rather than obesity) was associated with hearing loss at 4000 Hz. Underweight might be associated with increased risk for hearing loss through inadequate intake of dietary nutrients, especially vitamin B₁₂ and antioxidants [51–55], or other factors that were previously reported to be associated with increased mortality in underweight people [56–58]. In our study, hearing loss at 4000 Hz was also associated with current smoking, daily alcohol consumption, and high white blood cell count, which are all generally classified as cardiovascular risk factors [27–29, 59–62]. Recently, Ronksley et al. [60] have shown that neutrophil-lymphocyte ratio, white blood cell count, and C-reactive protein may be associated with hearing loss of diabetic patients. Taken together, although noise-induced hearing loss commonly begins at frequency of 4000 Hz [35–37], our results demonstrates that some cardiovascular risk factors might aggravate the pathophysiology of such noise-induced hearing loss. Then, long-term noise exposure and cardiovascular risk factors might provoke and aggravate a pivotal health damage of hearing loss and sequentially sleep disorder, which needs to be confirmed in further study.

5. Limitations

Several limitations should be mentioned. First, we assessed self-reported sleep duration but not the quality of sleep or other related factors. Nocturnal awakening, insomnia, nocturia, daytime napping, and difficulties with falling sleep may interfere with the observed associations [8, 63, 64]. Future studies should also include objective assessments of sleep duration, preferably made using actigraphy, because such factors may be important confounding factors. Second, we did not assess socioeconomic status in terms of education or annual income. It is possible that the site of residence, work duration, or shift work could shift the endogenous sleeping duration to an exogenously restricted sleeping duration [41, 65–67]. However, adjustment for the type or duration of work did not markedly alter the associations. Third, subclinical hearing loss was only determined using an audiometric test. Other screening methods, such as whispered voice, finger rubbing, and watch tick tests, can detect subclinical hearing loss that may not be identified with audiometric tests [6, 68]. Finally, our results may not be applicable to other populations who have different sleep durations, socioeconomic status, morbidities, and longevities, because these are likely to affect both sleep duration and subclinical hearing loss.

6. Conclusion

Our results suggest that subclinical hearing loss, especially at a high frequency, was independently associated with longer sleep duration and cardiometabolic risk factors in Japanese general population. Current findings remain to be warranted in further study.

Conflict of Interests

The authors declare that they have no competing interests.

Authors’ Contribution

K. Nakajima designed the overall study and confirmed the ethicality of the study; K. Suwa identified eligible subjects from the database; K. Nakajima, A. Hosobuchi, and K. Suwa analyzed the data; K. Nakajima, E. Kanda, and A. Hosobuchi reviewed the literature and discussed the results; and K. Nakajima wrote the paper. All authors reviewed and edited the paper and approved the final version of the paper.

Acknowledgment

The authors wish to thank all of the staff of Saitama Health Promotion Corporation for their kind cooperation with this study.

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Copyright © 2014 Kei Nakajima et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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