Literature DB >> 28899519

The association between daytime napping and risk of diabetes: a systematic review and meta-analysis of observational studies.

Vivian Yawei Guo1, Bing Cao2, Carlos King Ho Wong3, Esther Yee Tak Yu3.   

Abstract

OBJECTIVE: To investigate the association between daytime napping and prevalent/incident diabetes mellitus (DM) based on systematic review and meta-analytic data.
METHODS: The electronic databases of Embase, Medline, Pubmed and Web of Science were searched. Relevant studies were extracted by two reviewers independently. The associations between daytime napping (irrespective of duration), long nap (≥1 h/day) and short nap (<1 h/day), and risk of DM were assessed according to study types. Overall estimates were pooled using either fixed- or random-effect with inverse variance meta-analysis. Heterogeneity of included studies was assessed using the I2 test and possible cause of the heterogeneity was examined by meta-regression analyses.
RESULTS: Ten studies (four cross-sectional and six longitudinal cohort) comprising a total of 304,885 individuals and 20,857 cases of DM were included in the systematic review, with an average napping prevalence of 47%. Nappers were found to have increased risk of DM in both cross-sectional and cohort studies. However, significant heterogeneity was present. Long nap (≥1 h/day) was associated with both prevalent and incident DM; in particular, those with a daily nap over 1 h had a 31% increased risk of developing DM during follow-up (95% confidence interval: 2-67%). Conversely, no such association was found in individuals with short naps (<1 h/day) in cohort studies.
CONCLUSIONS: Long daytime napping over 1 h per day was associated with increased risk of both prevalent and incident DM. Further studies are needed to confirm the findings.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Daytime napping; Diabetes mellitus; Meta-analysis; Systematic review

Mesh:

Year:  2017        PMID: 28899519     DOI: 10.1016/j.sleep.2017.01.018

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  15 in total

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Journal:  Diabetol Int       Date:  2020-07-24

2.  Sleep Disturbances Before Pregnancy and Subsequent Risk of Gestational Diabetes Mellitus.

Authors:  Yifan Song; Liping Wang; Danni Zheng; Lin Zeng; Yan Wang
Journal:  Nat Sci Sleep       Date:  2022-06-20

3.  Japanese Clinical Practice Guideline for Diabetes 2019.

Authors:  Eiichi Araki; Atsushi Goto; Tatsuya Kondo; Mitsuhiko Noda; Hiroshi Noto; Hideki Origasa; Haruhiko Osawa; Akihiko Taguchi; Yukio Tanizawa; Kazuyuki Tobe; Narihito Yoshioka
Journal:  J Diabetes Investig       Date:  2020-07       Impact factor: 4.232

4.  Extended afternoon naps are associated with hypertension in women but not in men.

Authors:  Yuhang Yang; Wei Liu; Xiaopeng Ji; Chenjuan Ma; Xiuyan Wang; Kun Li; Junxin Li
Journal:  Heart Lung       Date:  2019-09-11       Impact factor: 2.210

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6.  Social Jetlag and Chronotypes in the Chinese Population: Analysis of Data Recorded by Wearable Devices.

Authors:  Zhongxing Zhang; Christian Cajochen; Ramin Khatami
Journal:  J Med Internet Res       Date:  2019-05-11       Impact factor: 5.428

7.  Habitual Sleep Duration, Daytime Napping, and Dietary Intake: A Mendelian Randomization Study.

Authors:  Kaitlyn Alimenti; Angela Chen; Richa Saxena; Hassan S Dashti
Journal:  Curr Dev Nutr       Date:  2021-03-03

8.  Daytime Napping and Nighttime Sleep Duration with Incident Diabetes Mellitus: A Cohort Study in Chinese Older Adults.

Authors:  Li Lin; Ciyong Lu; Weiqing Chen; Vivian Yawei Guo
Journal:  Int J Environ Res Public Health       Date:  2021-05-09       Impact factor: 3.390

9.  Association of Nap Duration after Lunch with Prevalence of Metabolic Syndrome in a Chinese Government Employee Population.

Authors:  Jun He; Feiyun Ouyang; Dan Qiu; Yanying Duan; Dan Luo; Shuiyuan Xiao
Journal:  Int J Environ Res Public Health       Date:  2020-06-15       Impact factor: 3.390

10.  Association between daytime napping duration and depression in middle-aged and elderly Chinese: evidence from the China Health and Retirement Longitudinal Study (CHARLS): A cross-sectional study in China.

Authors:  Baoming Xie; Jinhuan Wang; Xiaoyu Li; Jingyuan Zhang; Miaomiao Chen
Journal:  Medicine (Baltimore)       Date:  2020-10-23       Impact factor: 1.817

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