Sleep and Biological Rhythms

, Volume 17, Issue 2, pp 251–258 | Cite as

A preliminary study of fluid intake before bedtime and insomnia symptoms

  • Chung-Huang Tsai
  • Shao-Jen WengEmail author
  • Shih-Chia Liu
  • Donald F. Gotcher
  • Hsin-Hung Wu
  • Chun-An Chou
  • Seung-Hwan Kim
Original Article


The aim of this study is to determine whether there is a significant relationship between certain insomnia symptoms and drinking water shortly before bedtime as seen anecdotally in a clinical setting. A survey was done of 1223 patients receiving standard physical exams at a large hospital in Taiwan. Every patient was asked whether they were willing to answer a series of questions; if they agreed, they were given the questionnaire. Information in questionnaire form was gathered concerning demographic information and about pre-bedtime lifestyle habits of the respondents, including whether they drank specified beverages. Analysis of the data revealed three discrete classes based on the degree of their insomnia symptoms: Group 1, Group 2, and Group 3. From the multivariate logistic regression mode, Group 2 and Group 3 show a higher proportion of beverage-drinking behavior of study participants before going to bed than Group 1. Group 3 and Group 2 have ORs of 1.59 (P < 0.05) and 1.78 (P < 0.01), respectively. Further, females have higher rates of Group 2 at 1.49 times those of Group 1 (P < 0.05). In terms of age, younger participants have higher degrees of being in Group 3, compared to Group 1; the age groups of 45–64 and above 65 show ORs of 0.45 (P < 0.001) and 0.11 (P < 0.001). Most participants in Group 2 are in the 45–64 and above 65 age cohorts (OR 1.69, P < 0.05). Finally, most participants without regular exercise are in Group 3 (OR 1.53, P < 0.05). Scant research has been done in the area of insomnia and ingestion of fluids shortly before bed. The findings in this study offer some of the first evidence revealing a significant relationship between sleep disorder symptoms and beverage drinking before bedtime; consequently, it can be the impetus for further research in this field as an aid to personal and public health.


Insomnia Latent class analysis Multivariate logistic regression 



This study was supported in part by Cheng Ching General Hospital–Chung Kang Branch, Taichung City, Taiwan with Grant Number of CH10300172.

Compliance with ethical standards

Conflict of interest

No potential conflict of interest was reported by the authors.


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Copyright information

© Japanese Society of Sleep Research 2019

Authors and Affiliations

  • Chung-Huang Tsai
    • 1
    • 8
  • Shao-Jen Weng
    • 2
    Email author
  • Shih-Chia Liu
    • 2
  • Donald F. Gotcher
    • 3
  • Hsin-Hung Wu
    • 4
    • 5
  • Chun-An Chou
    • 6
  • Seung-Hwan Kim
    • 7
  1. 1.Department of Family Medicine, Chung-Kang BranchCheng Ching General HospitalTaichungTaiwan
  2. 2.Department of Industrial Engineering and Enterprise InformationTunghai UniversityTaichungTaiwan
  3. 3.Department of International BusinessTunghai UniversityTaichungTaiwan
  4. 4.Department of Business AdministrationNational Changhua University of EducationChanghuaTaiwan
  5. 5.Department of M-Commerce and Multimedia ApplicationsAsia UniversityTaichungTaiwan
  6. 6.Department of Mechanical and Industrial EngineeringNortheastern UniversityBostonUSA
  7. 7.Department of Business AdministrationAjou UniversitySuwonSouth Korea
  8. 8.Sports Recreation and Health Management Continuing Studies-Bachelor’s Degree Completion ProgramTunghai UniversityTaichungTaiwan

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