Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 29 February 2024
Sec. Aging and Public Health

Persistently short or long sleep duration increases the risk of sensory impairment in Chinese older adults

  • School of Public Health, Bengbu Medical University, Bengbu, Anhui, China

Background: Cross-sectional evidence suggests that persistently short or long sleep duration is associated with sensory impairment. Thus, this study was conducted to investigate the associations between sleep duration and altered sleep duration with sensory impairment in Chinese older adults.

Methods: Longitudinal data (2008–2014) obtained through the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed. Sleep duration was classified as normal (7–8 h), short (<7 h), or long (≥9 h). Sensory impairment was assessed using individuals’ self-reported data on visual and hearing functions. Cox regression was performed to evaluate the effects of sleep duration and altered sleep duration on sensory impairment, including visual impairment (VI) and hearing impairment (HI).

Results: This study included 3,578 older adults (mean age: 78.12 ± 9.59 years). Among them, 2,690 (75.2%) were aged 65–84 years and 1798 (50.3%) were women. The risks of VI (hazard ratio [HR]: 1.14; 95% confidence interval [CI]: 1.02–1.29), HI (HR: 1.14; 95% CI: 1.00–1.30), and dual sensory impairment (both VI and HI; HR: 1.26; 95% CI: 1.03–1.55) were high in older adults with long sleep duration. In addition, the risks of VI, HI, and dual sensory impairment were high in individuals whose sleep duration changed from normal to short or long (HR: 1.20 [95% CI: 1.02–1.42], 1.26 [95% CI: 1.03–1.53], and 1.54 [95% CI: 1.11–2.12], respectively) and those with persistently short or long sleep duration (HR: 1.25 [95% CI: 1.07–1.46], 1.34 [95% CI: 1.11–1.61], and 1.67 [95% CI: 1.22–2.27], respectively).

Conclusion: A prospective association was identified between altered sleep duration and sensory impairment in Chinese older adults. Our findings highlight the importance of optimal sleep duration and healthy sleep habits in preventing sensory impairment in older adults.

1 Introduction

Aging is associated with several disorders that compromise individuals’ quality of life. Among these disorders, sensory impairment—visual impairment (VI) and hearing impairment (HI)—are common in older adults. The severity of these disorders increase with age (1). The concurrent occurrence of VI and HI is termed as dual sensory impairment (DSI). DSI prevents individuals from compensating for one lost sense with another, which makes communication difficult for these individuals (2). DSI affects >10% of all older adults worldwide (3). Sensory impairment is associated with elevated risks of mortality (3), depression (4), dementia (5), anxiety, and cognitive impairment (1); increased use of health-care resources; and increased health expenditure (6).

Sleep duration is a key factor that influences normal physiological functions. The amount of sleep required for optimal functioning varies across individuals and life stages. A daily sleep duration of 7–8 h is recommended for older individuals (7). Sleep duration influences the risks of cognitive dysfunction (8), depression (9), and reduced muscle strength (10).

Suboptimal sleep duration may lead to sensory impairment in older adults. A U-shaped association has been observed between sleep duration and VI (11). Both sleep deprivation and excessive sleep are associated with VI (12). A study conducted among Chinese individuals indicated that a daily sleep duration ≥8 h is significantly associated with HI (13). Similarly, a study involving 632 individuals aged ≥70 years reported that a sleep duration of >8 h is associated with increased hearing thresholds (14). Another cross-sectional survey conducted among Chinese older adults revealed that a short sleep duration is associated with increased risks of VI, HI, and DSI (15).

Most studies investigating the association of short or long sleep duration with sensory impairment have had a cross-sectional design; few studies have demonstrated a longitudinal association between altered sleep duration and sensory impairment. Thus, we conducted this study to investigate the associations of sleep duration and altered sleep duration with sensory impairment in Chinese older adults. The analysis was performed using longitudinal data (2008–2014) collected through the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

2 Methods

2.1 Study cohort

CLHLS is an ongoing prospective follow-up survey of longevity and health among Chinese older adults. This survey was conducted in 23 randomly selected cities and counties across 31 Chinese provinces including approximately 85% of the total population of China. Approval for the use of CLHLS data was obtained from the Ethics Committee of Peking University (IRB00001052-13074). Written informed consent was obtained from all participants or their representatives. Further details of the CLHLS data set can be found elsewhere (1618).

We analyzed longitudinal survey data that were conducted in 2008 to 2014, including three surveys in 2008, 2011, and 2014. Figure 1 depicts the participant selection process. In the 2008 survey, 16,954 individuals participated in baseline interviews. We excluded individuals aged <65 years (n = 391); those with sensory impairment (including HI or VI) (n = 6,040); those with incomplete hearing, vision, or sleep duration data in the 2008 survey (n = 17); and those who were lost to follow-up, died, or had incomplete hearing, vision, or sleep duration data in the 2011 survey (n = 4,352). By the 2011 survey, 6,154 participants—1,125 with VI, 927 with HI, and 397 with DSI—remained eligible for inclusion in this study. We identified 4,499 participants who did not have sensory impairment in 2011. We further excluded participants who were lost to follow-up or died by the 2014 survey and those with incomplete hearing, vision, or sleep duration data in the 2014 survey (n = 1,318). Thus, 3,181 participants remained eligible for inclusion in this study. Finally, 4,306, 4,138, and 3,578 participants were included in the analyses of VI, HI, and DSI, respectively.

Figure 1
www.frontiersin.org

Figure 1. Flowchart depicting participant selection.

2.2 Assessment of sleep duration

Sleep duration was evaluated on the basis of the participants’ responses to the following question (19): “For how long did you sleep per day over the previous week (excluding daytime sleep and naps)?” On the basis of the National Sleep Foundation–recommended sleep duration for older adults (7), sleep duration was classified as normal (7–8 h), short (<7 h), or long (≥9 h). Furthermore, on the basis of altered sleep duration from 2008 to 2011 or 2014, we classified sleep duration as persistently normal, normal to short or long, short or long to normal, or persistently short or long (4).

2.3 Assessment of sensory impairment

Regarding sensory impairment, we focused mainly on HI and VI. On the basis of how well they could hear the questions asked by the CLHLS interviewer, participants were divided into the following four categories: can hear but require a hearing aid; can hear and do not require a hearing aid; can partially hear and require a hearing aid; and cannot hear, even with a hearing aid. Participants belonging to the latter two categories were considered to have HI. Furthermore, on the basis of how well they could see a circle on a card placed 1 m away and discern the direction of a break in the circle after their vision aids (e.g., glasses) were removed, participants were divided into the following four categories: can see the circle and discern the direction of the break; can see the circle but cannot discern the direction of the break; cannot see the circle; and blind. Participants belonging to the latter two categories were considered to have VI (18). Thus, participants were stratified by sensory impairment (20) into the following four groups: no sensory impairment, HI, VI, or DSI.

2.4 Covariates

Sensory impairment in older adults can be influenced by individual heterogeneity, socioeconomic level, and health (21). To mitigate the effects of confounders, we adjusted our statistical models for the following covariates: sex (male or female), age (65–84 or ≥ 85 years), ethnicity (Han Chinese or others), marital status (married or unmarried), residential area (urban, township, or rural), cohabitation status (living with family, alone, or in a nursing home), years of education (<1 or ≥ 1 year), alcohol consumption (yes or no), exercise habit (yes or no), smoking status (yes or no), body mass index (BMI) rounded to the nearest 0.1 kg/m2 (underweight with a BMI of <18.5 kg/m2; normal with a BMI of 18.5–23.9 kg/m2; overweight with a BMI of 24–27.9 kg/m2; and obese with a BMI of ≥28 kg/m2), chronic disease status (yes or no), and sleep quality (good, neutral, or poor). The chronic diseases mainly included hypertension, heart disease, diabetes, arthritis, pneumonia, bronchitis, asthma, emphysema, stroke or cardiovascular disease, gastric or duodenal ulcer, dementia, and cancer.

2.5 Statistical analysis

All individuals were stratified by sleep duration. The chi-square test was performed for the between-group comparison of baseline characteristics. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the risks of HI, VI, and DSI were calculated using Cox proportional hazards models. The Schoenfeld residual test was performed to validate the proportional hazard assumption. The final models were adjusted for all of the aforementioned covariates. For individuals who did not have sensory impairment at baseline (in 2008) but had it in 2011, a 3-year interval was considered in the corresponding model. For individuals who did not have sensory impairment in 2008 and 2011 but had it in 2014, a 6-year interval was considered in the corresponding model.

To enhance the robustness of our findings, we conducted several sensitivity analyses. First, we performed multiple imputations on the basis of five replications and Monte Carlo simulations to account for missing data and re-evaluated the association of altered sleep duration with sensory impairment. Second, to adjust for the confounding effects of health-related factors, we restricted the analysis to only individuals with no chronic disease cataract and re-evaluated the aforementioned association. Finally, we analyzed the results after excluding participants who reported extreme sleep duration (<3 or > 16 h) at least once in all three survey waves.

All statistical analyses were performed using SPSS (version 26.0) or R (version 4.2.2). A two-sided p-value of <0.05 indicated significance.

3 Results

3.1 Cohort characteristics

Table 1 presents the baseline characteristics of the study cohort. This study included 3,578 older adults (mean age: 78.12 ± 9.59 years). Among participants, 1780 (49.7%) were men, 2,690 (75.2%) were aged 65–84 years, 1,312 (36.6%) lived in urban areas or townships, 1989 (55.6%) were married, 2,999 (83.8%) lived with family members, 1741 (48.8%) had received <1 year of education, and 1719 (48.0%) had no chronic disease.

Table 1
www.frontiersin.org

Table 1. Baseline characteristics of older adults stratified by sleep duration.

Persistently normal sleep duration was noted in individuals who were aged 65–84 years, were married, lived with family members, received formal education, exercised (during the period around the CLHLS), or had no chronic disease.

3.2 Association between sleep duration and sensory impairment

This study included 1,606 (37.3%) individuals with VI, 1239 (30.2%) individuals with HI, and 522 (14.6%) individuals with DSI. Table 2 presents the incidence rates of different forms of sensory impairment due to altered sleep duration. The incidence rates of VI, HI, and DSI were the lowest for individuals with persistently normal sleep duration (28.8, 20, and 7.8%, respectively) but the highest for those with persistently short or long sleep duration (42.0, 36.4, and 18.8%, respectively).

Table 2
www.frontiersin.org

Table 2. Incidence of sensory impairment due to altered sleep duration.

The risks of VI (HR: 1.14; 95% CI: 1.02–1.29), HI (HR: 1.14; 95% CI: 1.00–1.30), and DSI (HR: 1.26; 95% CI: 1.03–1.55) were significantly higher in individuals with long sleep durations than in those with normal sleep durations (Table 3). In addition, the risks of VI, HI, and DSI were significantly higher in individuals whose sleep durations changed from normal to short or long (HR: 1.20 [95% CI: 1.02–1.42], 1.26 [95% CI: 1.03–1.53], and 1.54 [95% CI: 1.11–2.12], respectively) and those with persistently short or long sleep duration (HR: 1.25 [95% CI: 1.07–1.46], 1.34 [95% CI: 1.11–1.61], and 1.67 [95% CI: 1.22–2.27], respectively) than in those with persistently normal sleep duration.

Table 3
www.frontiersin.org

Table 3. Multivariate cox regression models for the association between baseline sleep duration and sensory impairment.

3.3 Results of subgroup analysis

Our stratified analysis (Table 4) revealed the associations of long sleep duration with elevated risks of VI (HR: 1.24; 95% CI: 1.02–1.50), HI (HR: 1.30; 95% CI: 1.03–1.64), and DSI (HR: 1.49; 95% CI: 1.01–2.19) in individuals with ≥1 year of education. Furthermore, strong associations were noted between persistently short or long sleep duration and elevated risks of VI, HI, and DSI in younger older adults (HR: 1.32 [95% CI: 1.07–1.62], 1.51 [95% CI: 1.11–2.06], and 2.07 [95% CI: 1.18–3.66], respectively), individuals with ≥1 year of education (HR: 1.33 [95% CI: 1.05–1.70], 1.65 [95% CI: 1.19–2.29], and 2.38 [95% CI: 1.30–4.38], respectively), and unmarried individuals (HR: 1.26 [95% CI: 1.02–1.55], 1.31 [95% CI: 1.04–1.66], and 1.49 [95% CI: 1.04–2.14], respectively).

Table 4
www.frontiersin.org

Table 4. Results of a subgroup analysis for the association between altered sleep duration and sensory impairment.

3.4 Results of sensitivity analyses

Sensitivity analyses (Table 5) were performed for different situations, such as accounting for missing data with multiple interpolation, assessing older adults without any major chronic diseases or cataract, and excluding individuals with extreme sleep durations. The associations of sleep duration and altered sleep duration with sensory impairment remained consistent across the analyses.

Table 5
www.frontiersin.org

Table 5. Results of a sensitivity analysis for the association between altered sleep duration and sensory impairment.

4 Discussion

In this large longitudinal study, we investigated the prospective effects of altered sleep duration on sensory impairment in individuals aged ≥65 years. Our findings revealed a high incidence of sensory impairment in these individuals. Furthermore, sensory impairment was associated with sleep duration and altered sleep duration. The incidence of sensory impairment was the lowest for persistently normal sleep duration. Compared with normal sleep duration, a sleep duration of ≥9 h was associated with an elevated risk of sensory impairment. During the 6-year follow-up period, the risk of sensory impairment was higher in individuals with persistently short or long sleep duration and those with changes from normal to short or long sleep duration than in individuals with persistently normal sleep duration. We further analyzed the effects of altered sleep duration on sensory impairment and obtained new evidence for preventing or delaying the development of sensory impairment in older adults.

A survey of Chinese individuals aged >60 years revealed that the prevalence of VI, HI, and DSI was 80.2, 64.9, and 57.2%, respectively (22). The discrepancy between these values and those estimated in our study may be attributable to the following facts: we analyzed only new cases of sensory impairment recorded between 2008 and 2014; moreover, we reported the incidence of sensory impairment, whereas the aforementioned survey reported its prevalence.

In general, individuals who sleep for 7 to 8 h have better sensory function, lower morbidity risks, and better quality of life than do those who do not (15, 23, 24). A systematic review indicated that long sleep duration is associated with an elevated risk of neurodegenerative disease (25). Both short and long sleep durations can lead to cognitive impairment (8, 26), which is strongly correlated with sensory impairment (27). Therefore, sleep duration may influence the risk of sensory impairment. Several studies have demonstrated that short and long sleep durations contribute to the development of sensory impairment (11, 12, 14, 15). We found that a sleep duration of ≥9 h is associated with an elevated risk of sensory impairment.

Most studies on sleep and sensory impairment have adopted a cross-sectional approach; few longitudinal studies have investigated the effects of sleep duration and altered sleep duration on sensory impairment in older adults. These individuals may experience changes in their sleep patterns, circadian rhythms, sleep self-balancing mechanisms, and levels and patterns of sleep-related hormone secretion (28). Thus, sleep duration changes with age. A cohort study revealed an association between altered sleep duration and depression (4). Depression is associated also with sensory impairment (29, 30). In this study, we hypothesized that altered sleep duration would influence the risk of sensory impairment. To confirm the hypothesis, we longitudinally investigated the effects of sleep duration and altered sleep duration on sensory impairment. Our findings indicate that, compared with persistently normal sleep duration, persistently short or long sleep duration and changes from normal to short or long sleep duration are associated with elevated risks of sensory impairment.

Although the precise mechanisms underlying the effects of sleep duration on sensory impairment remain unclear, their association may be explained as follows. First, the association may be attributable to age-related changes in sleep patterns, such as reduced nighttime sleep duration, frequent daytime napping, and frequent and prolonged nocturnal awakenings (28). Variations in sleep patterns may result in a substantial disparity between objectively measured and self-reported sleep durations among older adults, leading to the overestimation of self-reported sleep duration (28). Variations in sleep patterns are associated with sleep-related hormone secretion, substantial changes in the brain, sensory processing, and poor quality of life (28). Altered sleep patterns can disrupt energy metabolism (31), leading to lipid deposition in the cochlear basement membrane, thereby causing HI (14, 32, 33). Second, homeostatic regulation of sleep duration influences circadian rhythm (34). Therefore, altered sleep duration may disrupt circadian rhythm, accelerating sensory impairment. Third, altered sleep duration may be indirectly associated with sensory impairment. Excessive sleep contributes to diabetes and cardiovascular disease, which are risk factors for VI and HI (3538). Older adults with sensory impairment have limited activity and natural light exposure, which can reduce melatonin secretion from the pineal gland (39). Low melatonin levels increase the risks of depressive symptoms and depression, as these conditions are associated with insomnia and daytime sleepiness (40).

Our subgroup analysis indicated that among older adults with a sleep duration of ≥9 h and those with persistently short or long sleep duration, the risk of sensory impairment was higher in individuals with ≥1 year of education than in those with <1 year of education. This finding may be explained by the fact that educated older people are more likely to have stable employment before retirement than are uneducated older people. However, when educated older adults retire, their social status decreases and their social sphere shrinks (17). Older adults with weaker social networks are less active socially, which increases the likelihood of excessive sleep duration (41). Having a weak social network serves as a predictor of excessive sleep (42). If postretirement psychological changes are not addressed in a timely manner, this may lead to depression, which increases the risk of sensory impairment (29).

A longitudinal study on aging in the United Kingdom revealed that health-related behaviors are influenced by partner behaviors (43). Sleep durations were more favorable among older adults with spouses or partners than among single older adults. In married individuals, most of whom sleep in the same bed as their spouse, sleep is influenced by their spouse’s breathing, snoring, and waking (44). Thus, sensory impairment may be influenced by marital status.

We found that persistently short or long sleep duration and changes from normal to short or long sleep duration markedly affected the risk of sensory impairment in older people aged 65–84 years but not in those aged ≥85 years. This difference may be explained by several physiological and psychological factors. Younger older adults are typically in the early stages of retirement; they tend to have insomnia, anxiety, or depression if they fail to adapt to their reduced work capacity and altered lifestyle and health status. Both anxiety and depression serve as risk factors for sensory impairment (30).

5 Strengths and limitations

To the best of our knowledge, this study is the first to investigate the effects of altered sleep duration on sensory impairment in Chinese older adults by using nationally representative cohort data. Our study has some limitations. Firstly, this study used the 2008–2014 data on sleep duration. Although sleep duration and altered sleep duration in this study is similar with other recent studies (45, 46), older adults might have a downward trend in sleep duration over the past 13 years (47), and an increased prevalence of short sleep duration (48). The change in sleep duration indicates that more attention should be paid to the impact of abnormal sleep duration on health of older adults. Secondly, we used self-reported sleep data; thus, the possibility of a recall bias cannot be ignored. Nonetheless, a good agreement has been demonstrated between self-reported sleep data and objectively measured sleep data (49, 50). Furthermore, several items on the sensory impairment questionnaire that participants completed lacked objective parameters; therefore, the questionnaire responses might have been biased. Objective data on sleep and sensory impairment are needed to further clarify the effects of altered sleep duration on sensory impairment. Thus, in the future, researchers should obtain sleep data through wrist actigraphy and polysomnography and confirm VI and HI diagnoses by using relevant data obtained under the guidance of a medical professional.

6 Conclusion

A sleep duration of ≥9 h is associated with an increased risk of sensory impairment. Compared with persistently normal sleep duration, persistently short or long sleep duration and changes from normal to short or long sleep duration are associated with an elevated risk of sensory impairment. Irregular sleep patterns and sensory disorders are becoming increasingly common in older adults. Our findings highlight the need for improving sleep duration and establishing healthy sleep habits to reduce the risk of sensory disorders in older adults, particularly educated and younger older adults. Thus, community health-care providers should offer sleep health education to older adults, thereby increasing their awareness regarding healthy sleep. Targeted interventions are needed to address persistently short or long sleep duration in this population.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

LY: Data curation, Formal analysis, Writing – original draft. JD: Software, Validation, Visualization, Writing – original draft. YD: Conceptualization, Methodology, Project administration, Writing – review & editing. YC: Data curation, Validation, Writing – original draft. QQ: Data curation, Investigation, Writing – original draft. ZL: Methodology, Validation, Writing – review & editing. HL: Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The work was supported by the 512 Talent training Project of Bengbu Medical University (BY51201203).

Acknowledgments

Data used for this study were obtained from the “Chinese Longitudinal Longevity Survey” (CLHLS), organized and managed by the Center for Healthy Ageing and Development Studies, Peking University, with joint funding from the U.S. National Institutes on Ageing (NIA), China Natural Science Foundation, China Social Science Foundation, and UNFPA. This manuscript was edited by Wallace Academic Editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Liu, C-J, Chang, P-S, Griffith, CF, Hanley, SI, and Lu, Y. The Nexus of sensory loss, cognitive impairment, and functional decline in older adults: a scoping review. Gerontologist. (2022) 62:e457–67. doi: 10.1093/geront/gnab082

PubMed Abstract | Crossref Full Text | Google Scholar

2. Guthrie, DM, Davidson, JGS, Williams, N, Campos, J, Hunter, K, Mick, P, et al. Combined impairments in vision, hearing and cognition are associated with greater levels of functional and communication difficulties than cognitive impairment alone: analysis of inter data for home care and long-term care recipients in Ontario. PLoS One. (2018) 13:e0192971. doi: 10.1371/journal.pone.0192971

PubMed Abstract | Crossref Full Text | Google Scholar

3. Zhang, X, Wang, Y, Wang, W, Hu, W, Shang, X, Liao, H, et al. Association between dual sensory impairment and risk of mortality: a cohort study from the UK biobank. BMC Geriatr. (2022) 22:631. doi: 10.1186/s12877-022-03322-x

PubMed Abstract | Crossref Full Text | Google Scholar

4. Um, YJ, Kim, Y, Chang, Y, Jung, H-S, Cho, IY, Jeon, SW, et al. Association of changes in sleep duration and quality with incidence of depression: a cohort study. J Affect Disord. (2023) 328:64–71. doi: 10.1016/j.jad.2023.02.031

PubMed Abstract | Crossref Full Text | Google Scholar

5. Hwang, PH, Longstreth, WT, Thielke, SM, Francis, CE, Carone, M, Kuller, LH, et al. Longitudinal changes in hearing and visual impairments and risk of dementia in older adults in the United States. JAMA Netw Open. (2022) 5:e2210734. doi: 10.1001/jamanetworkopen.2022.10734

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ding, Y, Liu, Y, Hou, X-Y, Tian, Y, Du, W, and Fan, L. Association of sensory impairment with healthcare use and costs among middle-aged and older adults in China. Public Health. (2022) 206:20–8. doi: 10.1016/j.puhe.2022.02.012

Crossref Full Text | Google Scholar

7. Hirshkowitz, M, Whiton, K, Albert, SM, Alessi, C, Bruni, O, DonCarlos, L, et al. National sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep Health. (2015) 1:40–3. doi: 10.1016/j.sleh.2014.12.010

PubMed Abstract | Crossref Full Text | Google Scholar

8. Ma, Y, Liang, L, Zheng, F, Shi, L, Zhong, B, and Xie, W. Association between sleep duration and cognitive decline. JAMA Netw Open. (2020) 3:e2013573. doi: 10.1001/jamanetworkopen.2020.13573

PubMed Abstract | Crossref Full Text | Google Scholar

9. Lin, C-Y, Lai, T-F, Huang, W-C, Hung, Y-C, Hsueh, M-C, Park, J-H, et al. Sleep duration and timing are nonlinearly associated with depressive symptoms among older adults. Sleep Med. (2021) 81:93–7. doi: 10.1016/j.sleep.2021.02.012

PubMed Abstract | Crossref Full Text | Google Scholar

10. Pana, A, Sourtzi, P, Kalokairinou, A, Pastroudis, A, Chatzopoulos, S-T, and Velonaki, VS. Association between muscle strength and sleep quality and duration among middle-aged and older adults: a systematic review. Eur Geriatr Med. (2021) 12:27–44. doi: 10.1007/s41999-020-00399-8

Crossref Full Text | Google Scholar

11. An, Y, and Joo, C-K. The U-shaped association between self-reported sleep duration and visual impairment in Korean adults: a population-based study. Sleep Med. (2016) 26:30–6. doi: 10.1016/j.sleep.2016.08.005

PubMed Abstract | Crossref Full Text | Google Scholar

12. Sun, M, Bo, Q, Lu, B, Sun, X, and Zhou, M. The Association of Sleep Duration with Vision Impairment in middle-aged and elderly adults: evidence from the China health and retirement longitudinal study. Front Med. (2021) 8:778117. doi: 10.3389/fmed.2021.778117

PubMed Abstract | Crossref Full Text | Google Scholar

13. Wu, E, Ni, J, Zhu, Z, Xu, H, Ci, J, Tao, L, et al. Association of sleep duration and noise exposure with hearing loss among Chinese and American adults: two cross-sectional studies. BMJ Open. (2022) 12:e062535. doi: 10.1136/bmjopen-2022-062535

PubMed Abstract | Crossref Full Text | Google Scholar

14. Jiang, K, Spira, AP, Reed, NS, Lin, FR, and Deal, JA. Sleep characteristics and hearing loss in older adults: the National Health and nutrition examination survey 2005-2006. J Gerontol A Biol Sci Med Sci. (2022) 77:632–9. doi: 10.1093/gerona/glab214

PubMed Abstract | Crossref Full Text | Google Scholar

15. Rong, H, Wang, X, Lai, X, Yu, W, and Fei, Y. Associations between sleep duration and sensory impairments among older adults in China. Front Aging Neurosci. (2022) 14:910231. doi: 10.3389/fnagi.2022.910231

PubMed Abstract | Crossref Full Text | Google Scholar

16. Zeng, Y. Towards deeper research and better policy for healthy aging --using the unique data of Chinese longitudinal healthy longevity survey. China Economic J. (2012) 5:131–49. doi: 10.1080/17538963.2013.764677

PubMed Abstract | Crossref Full Text | Google Scholar

17. Zhang, M, Lv, X, Chen, Y, Tu, L, Fan, Z, Yao, Y, et al. Excessive sleep increased the risk of incidence of cognitive impairment among older Chinese adults: a cohort study based on the Chinese longitudinal healthy longevity survey (CLHLS). Int Psychogeriatr. (2022) 34:725–34. doi: 10.1017/S1041610221000168

PubMed Abstract | Crossref Full Text | Google Scholar

18. Zhang, Y, Ge, M, Zhao, W, Liu, Y, Xia, X, Hou, L, et al. Sensory impairment and all-cause mortality among the oldest-old: findings from the Chinese longitudinal healthy longevity survey (CLHLS). J Nutr Health Aging. (2020) 24:132–7. doi: 10.1007/s12603-020-1319-2

PubMed Abstract | Crossref Full Text | Google Scholar

19. Xu, L, Jiang, CQ, Lam, TH, Zhang, WS, Cherny, SS, Thomas, GN, et al. Sleep duration and memory in the elderly Chinese: longitudinal analysis of the Guangzhou biobank cohort study. Sleep. (2014) 37:1737–44. doi: 10.5665/sleep.4162

PubMed Abstract | Crossref Full Text | Google Scholar

20. Zhao, X, Zhou, Y, Wei, K, Bai, X, Zhang, J, Zhou, M, et al. Associations of sensory impairment and cognitive function in middle-aged and older Chinese population: the China health and retirement longitudinal study. J Glob Health. (2021) 11:08008. doi: 10.7189/jogh.11.08008

PubMed Abstract | Crossref Full Text | Google Scholar

21. Schneider, JM, Gopinath, B, McMahon, CM, Leeder, SR, Mitchell, P, and Wang, JJ. Dual sensory impairment in older age. J Aging Health. (2011) 23:1309–24. doi: 10.1177/0898264311408418

Crossref Full Text | Google Scholar

22. Heine, C, Browning, CJ, and Gong, CH. Sensory loss in China: prevalence, use of aids, and impacts on social participation. Front Public Health. (2019) 7:5. doi: 10.3389/fpubh.2019.00005

PubMed Abstract | Crossref Full Text | Google Scholar

23. Liu, Y, Wheaton, AG, Chapman, DP, and Croft, JB. Sleep duration and chronic diseases among U.S. adults age 45 years and older: evidence from the 2010 behavioral risk factor surveillance system. Sleep. (2013) 36:1421–7. doi: 10.5665/sleep.3028

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ren, Y, Miao, M, Yuan, W, and Sun, J. Sleep duration and all-cause mortality in the elderly in China: a population-based cohort study. BMC Geriatr. (2020) 20:541. doi: 10.1186/s12877-020-01962-5

PubMed Abstract | Crossref Full Text | Google Scholar

25. Devore, EE, Grodstein, F, and Schernhammer, ES. Sleep duration in relation to cognitive function among older adults: a systematic review of observational studies. Neuroepidemiology. (2016) 46:57–78. doi: 10.1159/000442418

PubMed Abstract | Crossref Full Text | Google Scholar

26. Chen, J-C, Espeland, MA, Brunner, RL, Lovato, LC, Wallace, RB, Leng, X, et al. Sleep duration, cognitive decline, and dementia risk in older women. Alzheimers Dement. (2016) 12:21–33. doi: 10.1016/j.jalz.2015.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

27. Rong, H, Lai, X, Jing, R, Wang, X, Fang, H, and Mahmoudi, E. Association of Sensory Impairments with Cognitive Decline and Depression among Older Adults in China. JAMA Netw Open. (2020) 3:e2014186. doi: 10.1001/jamanetworkopen.2020.14186

PubMed Abstract | Crossref Full Text | Google Scholar

28. Li, J, Vitiello, MV, and Gooneratne, NS. Sleep in Normal Aging. Sleep Med Clin. (2018) 13:1–11. doi: 10.1016/j.jsmc.2017.09.001

PubMed Abstract | Crossref Full Text | Google Scholar

29. Zhang, S, Wang, Q, Wang, X, Qi, K, Zhou, Y, and Zhou, C. Longitudinal relationship between sensory impairments and depressive symptoms in older adults: the mediating role of functional limitation. Depress Anxiety. (2022) 39:624–32. doi: 10.1002/da.23266

PubMed Abstract | Crossref Full Text | Google Scholar

30. Armstrong, NM, Vieira Ligo Teixeira, C, Gendron, C, Brenowitz, WD, Lin, FR, Swenor, B, et al. Associations of dual sensory impairment with long-term depressive and anxiety symptoms in the United States. J Affect Disord. (2022) 317:114–22. doi: 10.1016/j.jad.2022.07.067

PubMed Abstract | Crossref Full Text | Google Scholar

31. McHill, AW, and Wright, KP. Role of sleep and circadian disruption on energy expenditure and in metabolic predisposition to human obesity and metabolic disease. Obes Rev. (2017) 18:15–24. doi: 10.1111/obr.12503

PubMed Abstract | Crossref Full Text | Google Scholar

32. Keithley, EM. Pathology and mechanisms of cochlear aging. J Neurosci Res. (2020) 98:1674–84. doi: 10.1002/jnr.24439

PubMed Abstract | Crossref Full Text | Google Scholar

33. Nomura, Y. Lipidosis of the basilar membrane. Acta Otolaryngol. (1970) 69:352–7. doi: 10.3109/00016487009123376

PubMed Abstract | Crossref Full Text | Google Scholar

34. Borbély, AA, Daan, S, Wirz-Justice, A, and Deboer, T. The two-process model of sleep regulation: a reappraisal. J Sleep Res. (2016) 25:131–43. doi: 10.1111/jsr.12371

PubMed Abstract | Crossref Full Text | Google Scholar

35. Cleemen, C, Müller, N, Lehmann, T, Voigt, UA, Meller, D, Kloos, C, et al. Prevalence of impairment of visual acuity and severity of retinopathy in patients with diabetes mellitus. Exp Clin Endocrinol Diabetes. (2022) 130:652–9. doi: 10.1055/a-1752-0024

PubMed Abstract | Crossref Full Text | Google Scholar

36. Han, SY, Chang, Y, Shin, H, Choi, CY, and Ryu, S. Visual acuity and risk of overall, injury-related, and cardiovascular mortality: the Kangbuk Samsung health study. Eur J Prev Cardiol. (2022) 29:904–12. doi: 10.1093/eurjpc/zwab025

PubMed Abstract | Crossref Full Text | Google Scholar

37. Lohi, V, Hannula, S, Ohtonen, P, Sorri, M, and Mäki-Torkko, E. Hearing impairment among adults: the impact of cardiovascular diseases and cardiovascular risk factors. Int J Audiol. (2015) 54:265–73. doi: 10.3109/14992027.2014.974112

Crossref Full Text | Google Scholar

38. Samocha-Bonet, D, Wu, B, and Ryugo, DK. Diabetes mellitus and hearing loss: a review. Ageing Res Rev. (2021) 71:101423. doi: 10.1016/j.arr.2021.101423

Crossref Full Text | Google Scholar

39. Jean-Louis, G, Kripke, D, Cohen, C, Zizi, F, and Wolintz, A. Associations of ambient illumination with mood: contribution of ophthalmic dysfunctions. Physiol Behav. (2005) 84:479–87. doi: 10.1016/j.physbeh.2005.01.011

PubMed Abstract | Crossref Full Text | Google Scholar

40. Fava, M. Daytime sleepiness and insomnia as correlates of depression. J Clin Psychiatry. (2004) 65:27–32.

Google Scholar

41. Gu, D, Sautter, J, Pipkin, R, and Zeng, Y. Sociodemographic and health correlates of sleep quality and duration among very old Chinese. Sleep. (2010) 33:601–10. doi: 10.1093/sleep/33.5.601

PubMed Abstract | Crossref Full Text | Google Scholar

42. Cheng, GH-L, Chan, A, and Lo, JC. Factors of nocturnal sleep and daytime nap durations in community-dwelling elderly: a longitudinal population-based study. Int Psychogeriatr. (2017) 29:1335–44. doi: 10.1017/S104161021700062X

PubMed Abstract | Crossref Full Text | Google Scholar

43. Jackson, SE, Steptoe, A, and Wardle, J. The influence of partner’s behavior on health behavior change: the English longitudinal study of ageing. JAMA Intern Med. (2015) 175:385–92. doi: 10.1001/jamainternmed.2014.7554

Crossref Full Text | Google Scholar

44. Chen, J-H, Waite, LJ, and Lauderdale, DS. Marriage, relationship quality, and sleep among U.S. older adults. J Health Soc Behav. (2015) 56:356–77. doi: 10.1177/0022146515594631

PubMed Abstract | Crossref Full Text | Google Scholar

45. Zhao, W-Y, Zhang, Y, Jia, S-L, Ge, M-L, Hou, L-S, Xia, X, et al. The association of sleep quality and sleep duration with nutritional status in older adults: findings from the WCHAT study. Maturitas. (2021) 145:1–5. doi: 10.1016/j.maturitas.2020.10.013

PubMed Abstract | Crossref Full Text | Google Scholar

46. Zhu, Q, Fan, H, Zhang, X, Ji, C, and Xia, Y. Changes in sleep duration and 3-year risk of mild cognitive impairment in Chinese older adults. Aging. (2020) 12:309–17. doi: 10.18632/aging.102616

PubMed Abstract | Crossref Full Text | Google Scholar

47. Pan, X-B, Wang, H-X, Cao, Y-J, and Liu, Y-Y. Secular trends in sleep conditions in Chinese elderly individuals: a national population-based study. Nat Sci Sleep. (2023) 15:555–66. doi: 10.2147/NSS.S416084

PubMed Abstract | Crossref Full Text | Google Scholar

48. Tao, Z, Feng, Y, Liu, J, and Tao, L. Trends and disparities in sleep quality and duration in older adults in China from 2008 to 2018: a national observational study. Front Public Health. (2023) 11:998699. doi: 10.3389/fpubh.2023.998699

PubMed Abstract | Crossref Full Text | Google Scholar

49. Lockley, SW, Skene, DJ, and Arendt, J. Comparison between subjective and actigraphic measurement of sleep and sleep rhythms. J Sleep Res. (1999) 8:175–83. doi: 10.1046/j.1365-2869.1999.00155.x

PubMed Abstract | Crossref Full Text | Google Scholar

50. Jackson, CL, Patel, SR, Jackson, WB, Lutsey, PL, and Redline, S. Agreement between self-reported and objectively measured sleep duration among white, black, Hispanic, and Chinese adults in the United States: multi-ethnic study of atherosclerosis. Sleep. (2018) 41:zsy057. doi: 10.1093/sleep/zsy057

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: sleep duration, altered sleep duration, sensory impairment, hearing impairment, visual impairment, CLHLS, older adults

Citation: Yang L, Du J, Duan Y, Cui Y, Qi Q, Liu Z and Liu H (2024) Persistently short or long sleep duration increases the risk of sensory impairment in Chinese older adults. Front. Public Health. 12:1329134. doi: 10.3389/fpubh.2024.1329134

Received: 31 October 2023; Accepted: 19 February 2024;
Published: 29 February 2024.

Edited by:

Lucia Castelli, University of Milan, Italy

Reviewed by:

Mengsha Sun, Tongji University, China
Jiangping Li, Ningxia Medical University, China

Copyright © 2024 Yang, Du, Duan, Cui, Qi, Liu and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Huaqing Liu, bGhxYmJtY0AxNjMuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.