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      Noise sensitivity associated with nonrestorative sleep in Chinese adults: a cross-sectional study

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          Abstract

          Background

          Nonrestorative sleep is a common sleep disorder with a prevalence ranging from 1.4 to 35%, and is associated with various psychological and physical health issues. Noise exposure and noise sensitivity have been proposed to contribute to nonrestorative sleep. This study aimed to examine the relationships among noise, noise sensitivity, nonrestorative sleep, and physiological sleep parameters in Chinese adults.

          Methods

          A cross-sectional household survey was conducted with randomly selected Chinese adults based on a frame stratified by geographical districts and types of quarters in Hong Kong. We administered a battery of questionnaires, including the Nonrestorative Sleep Scale, the Weinstein Noise Sensitivity Scale, the ENRICHD Social Support Instrument, the Patient Health Questionnaire, and the Perceived Stress Scale to assess nonrestorative sleep, noise sensitivity, social support, somatic symptoms and stress, respectively. Anxiety and depression were evaluated by the Hospital Anxiety and Depression Scale while sociodemographic and lifestyle characteristics were assessed with an investigator-developed sheet. Nocturnal noise level and physiological sleep parameters were measured during nighttime for a week by noise dosimetry and actigraphy, respectively. A structured multiphase linear regression was conducted to estimate associations.

          Results

          A total of 500 adults (66.4% female) with an average age of 39 years completed this study. Bivariate regressions showed that age, marital status, occupation, family income, season, exercise, cola and soda consumption, social support, somatic symptoms, stress, depression, noise sensitivity, total sleep time, and awakenings were associated with nonrestorative sleep. In the multivariable analysis, family income, season, exercise, social support, somatic symptoms, stress, and depression remained associated with nonrestorative sleep. Specifically, a one-unit increase of noise sensitivity was associated with 0.08 increase in nonrestorative sleep (95% confidence interval [CI]: 0.01, 0.15, p = 0.023). Nocturnal noise was negatively associated with time in bed (b = − 1.65, 95% CI: − 2.77, − 0.52, p = 0.004), total sleep time (b = − 1.61, 95% CI: − 2.59, − 0.62, p = 0.001), and awakenings (b = − 0.16, 95% CI: − 0.30, − 0.03, p = 0.018), but was not associated with nonrestorative sleep.

          Conclusions

          Nonrestorative sleep was predicted by noise sensitivity in addition to family income, season, exercise, social support, somatic symptoms, stress, and depression.

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          Most cited references62

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Stress and Health: Psychological, Behavioral, and Biological Determinants

            Stressors have a major influence upon mood, our sense of well-being, behavior, and health. Acute stress responses in young, healthy individuals may be adaptive and typically do not impose a health burden. However, if the threat is unremitting, particularly in older or unhealthy individuals, the long-term effects of stressors can damage health. The relationship between psychosocial stressors and disease is affected by the nature, number, and persistence of the stressors as well as by the individual's biological vulnerability (i.e., genetics, constitutional factors), psychosocial resources, and learned patterns of coping. Psychosocial interventions have proven useful for treating stress-related disorders and may influence the course of chronic diseases.
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              Automatic sleep/wake identification from wrist activity.

              The purpose of this study was to develop and validate automatic scoring methods to distinguish sleep from wakefulness based on wrist activity. Forty-one subjects (18 normals and 23 with sleep or psychiatric disorders) wore a wrist actigraph during overnight polysomnography. In a randomly selected subsample of 20 subjects, candidate sleep/wake prediction algorithms were iteratively optimized against standard sleep/wake scores. The optimal algorithms obtained for various data collection epoch lengths were then prospectively tested on the remaining 21 subjects. The final algorithms correctly distinguished sleep from wakefulness approximately 88% of the time. Actigraphic sleep percentage and sleep latency estimates correlated 0.82 and 0.90, respectively, with corresponding parameters scored from the polysomnogram (p < 0.0001). Automatic scoring of wrist activity provides valuable information about sleep and wakefulness that could be useful in both clinical and research applications.
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                Author and article information

                Contributors
                dytfong@hku.hk
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                1 April 2021
                1 April 2021
                2021
                : 21
                : 643
                Affiliations
                [1 ]GRID grid.194645.b, ISNI 0000000121742757, School of Nursing, Li Ka Shing Faculty of Medicine, , The University of Hong Kong, ; 21 Sassoon Road, Pokfulam, Hong Kong, China
                [2 ]GRID grid.194645.b, ISNI 0000000121742757, Division of Speech and Hearing Sciences, Faculty of Education, , The University of Hong Kong, ; Pokfulam, Hong Kong, China
                [3 ]GRID grid.419993.f, ISNI 0000 0004 1799 6254, Sleep Laboratory, Department of Psychology, , The Education University of Hong Kong, ; 10 Lo Ping Road, Tai Po, New Territories Hong Kong, China
                [4 ]GRID grid.419993.f, ISNI 0000 0004 1799 6254, Centre for Psychosocial Health, , The Education University of Hong Kong, ; 10 Lo Ping Road, Tai Po, New Territories Hong Kong, China
                [5 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Mechanical Engineering, , The University of Hong Kong, ; Pokfulam, Hong Kong, China
                [6 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Medicine, Li Ka Shing Faculty of Medicine, , The University of Hong Kong, ; 21 Sassoon Road, Pokfulam, Hong Kong, China
                Author information
                http://orcid.org/0000-0001-7365-9146
                Article
                10667
                10.1186/s12889-021-10667-2
                8017893
                33794830
                eb6994d3-1a59-4a9c-a49d-38a88ab49ff7
                © The Author(s) 2021

                Open AccessThis 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.

                History
                : 31 July 2020
                : 22 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005847, Health and Medical Research Fund;
                Award ID: 14150801
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Public health
                actigraphy,noise,noise sensitivity,nonrestorative sleep
                Public health
                actigraphy, noise, noise sensitivity, nonrestorative sleep

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