Advertisement

Prevalence of sleep-disordered breathing among women working in the aged care services in Japan

  • Yuka Suzuki
  • Ai Ikeda
  • Hiroo Wada
  • Koutatsu Maruyama
  • Narihisa Miyachi
  • Ronald Filomeno
  • Yohei Suzuki
  • Satomi Ikeda
  • Yumi Hashimoto
  • Yasunari Koyama
  • Takeshi TanigawaEmail author
Original Article
  • 37 Downloads

Abstract

Objectives

The aim of this study was to examine the prevalence of sleep-disordered breathing (SDB) in women working in the field of aged care in Japan.

Methods

A cross-sectional study was conducted for female employees aged 18–60 years in aged care facilities in Japan. The analyzed set consisted of 712 participants with complete data. SDB was determined by respiratory disturbance index (RDI), measured using an ambulatory airflow monitor with a polyvinylidene fluoride film sensor to detect nasal and oral airflow overnight at home. Based on the findings of previous studies, RDI 10 was considered equivalent to apnea–hypopnea index (AHI) 15.

Results

The prevalence of moderate-to-severe SDB (RDI ≥ 10) was 22.8%. The mean age was 38.1 years, and mean sleeping time of participants was 6.1 h. The median body mass index (BMI) was 22.0. Women with moderate-to-severe SDB (RDI ≥ 10) had a higher age, neck circumference, neck–height ratio, BMI, systolic blood pressure, and increased prevalence of hypertension, short sleepers (amount of sleep on the SDB testing day < 6 h), and habitual snorers, compared to women with no or mild SDB (RDI < 10).

Conclusions

Our study found that women working in the aged care services in Japan were heavily burdened by SDB even though they were relatively young and slim. To prevent CVD from developing in the future, programs through which workplaces can help their employees improve their lifestyle, and early diagnosis and treatment of SDB are highly recommended.

Keywords

Industrial health Nursing staff Shift work Sleep Sleep apnea 

Notes

Acknowledgements

The authors sincerely thank Mr. Toshinori Satoh who coordinated this study on behalf of the company group.

Author contributions

Study concept and design: YS, AI, HW, KM, NM, and TT. Acquisition of data: YS, AI, HW, KM, NM, RF, YS, SI, YH, and TT. Statistical analysis and drafting of the manuscript: YS. Analysis, interpretation of data, and critical revision of the manuscript for important intellectual content: all authors.

Compliance with ethical standards

Conflict of interest

Takeshi Tanigawa is a part-time occupational physician of Koyama Healthcare Group. The other authors declare no conflict of interest.

References

  1. Anzai Y, Ohkubo T, Nishino Y, Tsuji I, Hisamichi S (2000) Relationship between health practices and education level in the rural Japanese population. J Epidemiol 10(3):149–156CrossRefGoogle Scholar
  2. BaHammam AS, Obeidat A, Barataman K, Bahammam SA, Olaish AH, Sharif MM (2014) A comparison between the AASM 2012 and 2007 definitions for detecting hypopnea. Sleep Breath 18(4):767–773.  https://doi.org/10.1007/s11325-014-0939-3 CrossRefGoogle Scholar
  3. Brown DL, Feskanich D, Sanchez BN, Rexrode KM, Schernhammer ES, Lisabeth LD (2009) Rotating night shift work and the risk of ischemic stroke. Am J Epidemiol 169(11):1370–1377.  https://doi.org/10.1093/aje/kwp056 CrossRefGoogle Scholar
  4. Care Work Foundation (2016) Results of the survey status of nursing labor, 2015. http://www.kaigo-center.or.jp/report/pdf/h27_roudou_genjyou.pdf. Accessed 16 Apr 2017
  5. Chandola T et al (2004) Does conflict between home and work explain the effect of multiple roles on mental health? A comparative study of Finland, Japan, and the UK. Int J Epidemiol 33(4):884–893.  https://doi.org/10.1093/ije/dyh155 CrossRefGoogle Scholar
  6. Cohen S, Kamarck T, Mermelstein R (1983) A global measure of perceived stress. J Health Soc Behav 24(4):385–396CrossRefGoogle Scholar
  7. Cui R et al (2008) Associations of sleep-disordered breathing with excessive daytime sleepiness and blood pressure in Japanese women. Hypertens Res 31(3):501–506.  https://doi.org/10.1291/hypres.31.501 CrossRefGoogle Scholar
  8. Dancey DR, Hanly PJ, Soong C, Lee B, Shepard J Jr, Hoffstein V (2003) Gender differences in sleep apnea: the role of neck circumference. Chest 123(5):1544–1550CrossRefGoogle Scholar
  9. Davies RJ, Stradling JR (1990) The relationship between neck circumference, radiographic pharyngeal anatomy, and the obstructive sleep apnoea syndrome. Eur Respir J 3(5):509–514Google Scholar
  10. Franklin KA, Sahlin C, Stenlund H, Lindberg E (2013) Sleep apnoea is a common occurrence in females. Eur Respir J 41(3):610–615.  https://doi.org/10.1183/09031936.00212711 CrossRefGoogle Scholar
  11. Fujii S, Sugihara T, Sasaki H, Sudo T, Wakabayashi I (2007) Lower back pain in occupational care workers and its risk factors in Yamagata Prefecture. Nihon eiseigaku zasshi Jpn J Hygiene 62(3):911–919Google Scholar
  12. Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB (2005) Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. Sleep 28(10):1289–1296CrossRefGoogle Scholar
  13. Harano K, Taniguchi T, Kobayashi H (2012) Fatigue in night-duty professional caregivers. Kawasaki Med Welf J 21(2):208–217Google Scholar
  14. Heinzer R et al (2015) Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study. Lancet Respir Med 3(4):310–318.  https://doi.org/10.1016/S2213-2600(15)00043-0 CrossRefGoogle Scholar
  15. Heinzer R, Marti-Soler H, Haba-Rubio J (2016) Prevalence of sleep apnoea syndrome in the middle to old age general population. Lancet Respir Med 4(2):e5–e6.  https://doi.org/10.1016/S2213-2600(16)00006-0 CrossRefGoogle Scholar
  16. Honjo K, Iso H, Inoue M, Tsugane S, Japan Public Health Center-based Prospective Study G (2008) Education, social roles, and the risk of cardiovascular disease among middle-aged Japanese women: the JPHC Study Cohort I. Stroke 39(10):2886–2890.  https://doi.org/10.1161/STROKEAHA.108.514067 CrossRefGoogle Scholar
  17. Honjo K et al (2016) Marital transition and risk of stroke: how living arrangement and employment status modify associations. Stroke 47(4):991–998.  https://doi.org/10.1161/STROKEAHA.115.011926 CrossRefGoogle Scholar
  18. Ikeda A et al (2009) Living arrangement and coronary heart disease: the JPHC study. Heart 95(7):577–583.  https://doi.org/10.1136/hrt.2008.149575 CrossRefGoogle Scholar
  19. Karlsson B, Knutsson A, Lindahl B (2001) Is there an association between shift work and having a metabolic syndrome? Results from a population based study of 27,485 people. Occup Environ Med 58(11):747–752CrossRefGoogle Scholar
  20. Li G et al (2011) Temporal relationship between depression and dementia: findings from a large community-based 15-year follow-up study. Arch Gen Psychiatry 68(9):970–977.  https://doi.org/10.1001/archgenpsychiatry.2011.86 CrossRefGoogle Scholar
  21. Makabe S, Takagai J, Asanuma Y, Ohtomo K, Kimura Y (2015) Impact of work-life imbalance on job satisfaction and quality of life among hospital nurses in Japan. Ind Health 53(2):152–159.  https://doi.org/10.2486/indhealth.2014-0141 CrossRefGoogle Scholar
  22. Malhotra A, White DP (2002) Obstructive sleep apnoea. Lancet 360(9328):237–245.  https://doi.org/10.1016/S0140-6736(02)09464-3 CrossRefGoogle Scholar
  23. Meisinger C, Heier M, Lowel H, Schneider A, Doring A (2007) Sleep duration and sleep complaints and risk of myocardial infarction in middle-aged men and women from the general population: the MONICA/KORA Augsburg cohort study. Sleep 30(9):1121–1127CrossRefGoogle Scholar
  24. Ministry of Health, Labour and Welfare (2016) National Health and Nutrition Survey Japan, 2015. http://www.mhlw.go.jp/file/04-Houdouhappyou-10904750-Kenkoukyoku-Gantaisakukenkouzoushinka/kekkagaiyou.pdf. Accessed 17 Apr 2017
  25. Ministry of Health, Labour and Welfare (2018) Basic survey on wage structure 2017. https://www.mhlw.go.jp/toukei/itiran/roudou/chingin/kouzou/z2017/index.html. Accessed 11 Aug 2018
  26. Mitoku K (2010) Prevalence of smoking among workers at geriatric facilities and the relationship between smoking and their occupation-related stress. Jpn J Tob Control 5(1):10–17Google Scholar
  27. Nakano H, Tanigawa T, Furukawa T, Nishima S (2007) Automatic detection of sleep-disordered breathing from a single-channel airflow record. Eur Respir J 29(4):728–736.  https://doi.org/10.1183/09031936.00091206 CrossRefGoogle Scholar
  28. Nakano H et al (2008) Validation of a single-channel airflow monitor for screening of sleep-disordered breathing. Eur Respir J 32(4):1060–1067.  https://doi.org/10.1183/09031936.00130907 CrossRefGoogle Scholar
  29. Nakata A, Takahashi M, Ikeda T, Haratani T, Hojou M, Araki S (2007) Perceived job stress and sleep-related breathing disturbance in Japanese male workers. Soc Sci Med 64(12):2520–2532.  https://doi.org/10.1016/j.socscimed.2007.03.012 CrossRefGoogle Scholar
  30. Nakayama-Ashida Y et al (2008) Sleep-disordered breathing in the usual lifestyle setting as detected with home monitoring in a population of working men in Japan. Sleep 31(3):419–425CrossRefGoogle Scholar
  31. National Institute of Population and Social Security Research (2017) Population Projections for Japan (Projection in 2017). http://www.ipss.go.jp/pp-zenkoku/j/zenkoku2017/db_zenkoku2017/g_tables/pp29gg0104data.xls. Accessed 16 Apr 2017
  32. Newman AB et al (2001) Relation of sleep-disordered breathing to cardiovascular disease risk factors: the sleep heart health study. Am J Epidemiol 154(1):50–59CrossRefGoogle Scholar
  33. OECD Social Policy Division Directorate of Employment, Labour and Social Affairs (2016) Time use across the world. https://www.oecd.org/gender/data/OECD_1564_TUSupdatePortal.xls. Accessed 31 May 2017
  34. Okajima I, Nakajima S, Kobayashi M, Inoue Y (2013) Development and validation of the Japanese version of the Athens Insomnia Scale. Psychiatry Clin Neurosci 67(6):420–425.  https://doi.org/10.1111/pcn.12073 CrossRefGoogle Scholar
  35. Patel SR et al (2004) A prospective study of sleep duration and mortality risk in women. Sleep 27(3):440–444CrossRefGoogle Scholar
  36. Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM (2013) Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol 177(9):1006–1014.  https://doi.org/10.1093/aje/kws342 CrossRefGoogle Scholar
  37. Ruehland WR, Rochford PD, O’Donoghue FJ, Pierce RJ, Singh P, Thornton AT (2009) The new AASM criteria for scoring hypopneas: impact on the apnea hypopnea index. Sleep 32(2):150–157CrossRefGoogle Scholar
  38. Sekine M, Chandola T, Martikainen P, Marmot M, Kagamimori S (2006) Work and family characteristics as determinants of socioeconomic and sex inequalities in sleep: The Japanese Civil Servants Study. Sleep 29(2):206–216CrossRefGoogle Scholar
  39. Senaratna CV et al (2016) Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev.  https://doi.org/10.1016/j.smrv.2016.07.002 Google Scholar
  40. Statistics Bureau, Ministry of Internal Affairs and Communications (2012) 2011 Survey on time use and leisure activities. http://www.stat.go.jp/data/shakai/2011/index.htm. Accessed 11 Apr 2017
  41. Statistics Bureau, Ministry of Internal Affairs and Communications (2017) 2016 labour force survey. http://www.e-stat.go.jp/SG1/estat/ListE.do?lid=000001170226. Accessed 16 Apr 2017
  42. Takegami M et al (2009) Development of a Japanese version of the Epworth Sleepiness Scale (JESS) based on item response theory. Sleep Med 10(5):556–565.  https://doi.org/10.1016/j.sleep.2008.04.015 CrossRefGoogle Scholar
  43. Tanno S, Tanigawa T, Maruyama K, Eguchi E, Abe T, Saito I (2017) Sleep-related intermittent hypoxia is associated with decreased psychomotor vigilance in Japanese community residents. Sleep Med 29:7–12.  https://doi.org/10.1016/j.sleep.2016.08.024 CrossRefGoogle Scholar
  44. Utsugi M et al (2005) Relationships of occupational stress to insomnia and short sleep in Japanese workers. Sleep 28(6):728–735CrossRefGoogle Scholar
  45. Verde-Tinoco S et al (2017) Sleep architecture in night shift workers police officers with obstructive sleep apnea-hypopnea syndrome. Sleep Sci 10(4):136–141.  https://doi.org/10.5935/1984-0063.20170024 CrossRefGoogle Scholar
  46. Wang XS et al (2012) Characteristics of the Million Women Study participants who have and have not worked at night. Scand J Work Environ Health 38(6):590–599.  https://doi.org/10.5271/sjweh.3313 CrossRefGoogle Scholar
  47. Wetter DW, Young TB, Bidwell TR, Badr MS, Palta M (1994) Smoking as a risk factor for sleep-disordered breathing. Arch Intern Med 154(19):2219–2224CrossRefGoogle Scholar
  48. White DP, Douglas NJ, Pickett CK, Zwillich CW, Weil JV (1983) Sleep deprivation and the control of ventilation. Am Rev Respir Dis 128(6):984–986.  https://doi.org/10.1164/arrd.1983.128.6.984 Google Scholar
  49. Wingard DL, Berkman LF (1983) Mortality risk associated with sleeping patterns among adults. Sleep 6(2):102–107CrossRefGoogle Scholar
  50. World Health Organization (2017) Global Health Observatory data repository, obesity (body mass index ≥ 30), age-standardized (%) estimates by country. http://apps.who.int/gho/data/node.main.A900A?lang=en. Accessed 24 July 2017
  51. Yamagishi K et al (2010) Cross-cultural comparison of the sleep-disordered breathing prevalence among Americans and Japanese. Eur Respir J 36(2):379–384.  https://doi.org/10.1183/09031936.00118609 CrossRefGoogle Scholar
  52. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328(17):1230–1235.  https://doi.org/10.1056/NEJM199304293281704 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Yuka Suzuki
    • 1
  • Ai Ikeda
    • 1
  • Hiroo Wada
    • 1
  • Koutatsu Maruyama
    • 1
    • 2
  • Narihisa Miyachi
    • 1
  • Ronald Filomeno
    • 1
  • Yohei Suzuki
    • 1
  • Satomi Ikeda
    • 1
  • Yumi Hashimoto
    • 1
  • Yasunari Koyama
    • 1
  • Takeshi Tanigawa
    • 1
    Email author
  1. 1.Department of Public HealthJuntendo University Graduate School of MedicineTokyoJapan
  2. 2.Laboratory of Community Health and Nutrition, Special Course of Food and Health Science, Department of Bioscience, Graduate School of AgricultureEhime UniversityMatsuyamaJapan

Personalised recommendations