Changes in subjective sleep quality in patients with type 2 diabetes who did not use Sleep agents: a cross-sectional study according to age and clinical background

Author(s):  
Fukumi Yoshikawa ◽  
Naoki Kumashiro ◽  
Fumika Shigiyama ◽  
Masahiko Miyagi ◽  
Yasuyo Ando ◽  
...  
PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191771 ◽  
Author(s):  
Rika Sakamoto ◽  
Tadashi Yamakawa ◽  
Kenichiro Takahashi ◽  
Jun Suzuki ◽  
Minori Matsuura Shinoda ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Yang Yang ◽  
Li-hua Zhao ◽  
Dan-dan Li ◽  
Feng Xu ◽  
Xiao-hua Wang ◽  
...  

Abstract Background Deterioration of sleep quality has been reported to contribute to the incidence of diabetes and may be responsible for glycemic status in diabetes. The present study explored the relationship between sleep quality and glycemic variability in patients with type 2 diabetes (T2D). Methods We recruited 111 patients with T2D for this cross-sectional study. Each patient underwent flash glucose monitoring for 14 days to obtain glycemic variability parameters, such as standard deviation of glucose (SD), coefficient of variation of glucose (CV), mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD), and time in glucose range of 3.9–10 mmol/L (TIR3.9–10). After 14 days of flash glucose monitoring, each patient received a questionnaire on the Pittsburgh Sleep Quality Index (PSQI) to evaluate subjective sleep quality. HbA1c was also collected to assess average glucose. Results HbA1c was comparable among the subgroups of PSQI score tertiles. Across ascending tertiles of PSQI scores, SD, CV and MAGE were increased, while TIR3.9–10 was decreased (p for trend  <  0.05), but not MODD (p for trend  =  0.090). Moreover, PSQI scores were positively correlated with SD, CV, MODD and MAGE (r =  0.322, 0.361, 0.308 and 0.354, respectively, p  <  0.001) and were inversely correlated with TIR3.9–10 (r  =  − 0.386, p  <  0.001). After adjusting for other relevant data by multivariate linear regression analyses, PSQI scores were independently responsible for SD (β  =  0.251, t  =  2.112, p  =  0.041), CV (β  =  0.286, t  =  2.207, p  =  0.033), MAGE (β  =  0.323, t  =  2.489, p  =  0.018), and TIR3.9–10 (β  =  − 0.401, t  =  − 3.930, p  <  0.001) but not for MODD (β  =  0.188, t  =  1.374, p  =  0.177). Conclusions Increased glycemic variability assessed by flash glucose monitoring was closely associated with poor subjective sleep quality evaluated by the PSQI in patients with T2D.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e037613
Author(s):  
Tomoo Hidaka ◽  
Hideaki Kasuga ◽  
Shota Endo ◽  
Yusuke Masuishi ◽  
Takeyasu Kakamu ◽  
...  

ObjectivesSubjective sleep quality (SSQ) is defined by the satisfaction of one’s overall sleep experience and is composed of sleep depth and restfulness. It has not been clarified how poor SSQ is associated to changes in lifestyles. The purpose is to reveal the association of lifestyle pattern changes and poor SSQ.DesignA cross-sectional study.SettingThe data on basic attributes, SSQ and lifestyle such as presence/absence of smoking, exercise, physical activity, supper time close to bedtime, drinking habits and alcohol intake amount per day were obtained from database and questionnaire of specified medical check-ups in fiscal year 2014–2015 in Japan. The analysis was conducted in 2019.ParticipantsThe subjects comprised 49 483 residents (26 087 men and 23 396 women), aged 40–74 years who had undergone an annual specified medical check-up from 2014 to 2015 in Fukushima Prefecture, Japan.Outcome measureStatus of SSQ in 2015 was assessed using a question asking whether or not the subjects usually got enough sleep. Poor SSQ in 2015 and lifestyle pattern changes in 2014–2015 were compared between those who were in healthy status both in 2014 and 2015 (referent) and non-referent, using binary logistic regression analysis.ResultsUnhealthy lifestyle pattern for 2014–2015 was significantly associated to poor SSQ in 2015: ‘absent to absent’ in exercise for men (OR=1.472; 95% CI 1.316 to 1.647) and women (OR=1.428; 95% CI 1.285 to 1.587), physical activity for men (OR=1.420; 95% CI 1.270 to 1.588) and women (OR=1.471; 95% CI 1.322 to 1.638) and ‘present to present’ in supper time for men (OR=1.149; 95% CI 1.020 to 1.294) and women (OR=1.288; 95% CI 1.102 to 1.505).ConclusionsHealthcare workers may be able to contribute to the improvement of SSQ, focusing on changeable lifestyles.


2017 ◽  
Vol 2 (1) ◽  
pp. 6-9
Author(s):  
Dr. Ashok Kumar ◽  
◽  
Dr. Vanishri Ashok ◽  
Dr. R.S.A. Kiran Singh ◽  
◽  
...  

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