Self-reported sleep status and influencing factors: a web-based national cross-sectional survey in China.

OBJECTIVES: To investigate self-reported sleep duration, sleep timing, sleep status and influencing factors in the Chinese population. METHODS: This web-based cross-sectional survey was conducted in 2022, covering 31 provinces (91%) in China. 11,000 questionnaires were collected, of which 8970 were valid for analysis. Self-reported sleep habits, problems and quality were investigated. Good or fair sleep ratings, enough duration, regular, with no sleep disturbances and <30 min sleep latency was defined as a composite variable: 'Good sleep'. Factors influencing sleep patterns and 'Good sleep' were analyzed by multivariate logistic regression. RESULTS: Most participants sleep less than 7 h per night (55.13%), usually go to bed at 10-12 pm (47.99%), wake up at 6-8 am (49.86%), and take less than 30 min to fall asleep (66.30%) with regular sleep schedule (76.01%). Only 12.36% have 'Good sleep'. In the past 3 months, 46.80% of the participants reported symptoms of insomnia, and 21.54% had snoring problems. Among the adults, the young, males, college students, freelancers, and those who resided in urban areas and pandemic-free areas slept later, and the northerners woke up earlier. The adults with low-moderate and moderate income and the minors at elementary and middle school slept earlier and woke up earlier. Mid-aged adults who often napped at noon were more likely to have 'Good sleep' than any other age group, and urban dwellers with the same habit were more likely to have 'Good sleep' than people dwelled in other regions. While people who slept late, woke up too early or too late, slept too little or too much, resided at GMT 7-8 area or pandemic area, had high income, or took up some occupations (entrepreneurs/individuals, professionals, manual and non-manual workers, housewives) were less likely to get a 'Good sleep'. CONCLUSIONS: The national survey provided a sleep profile of the Chinese population. Both socio-economic status and personal sleep hygiene habits had an impact on 'Good sleep'.

Relationships between the changes in sleep patterns and sleep quality among Chinese people during the 2019 coronavirus disease outbreak.

OBJECTIVE: Rapidly increasing numbers of confirmed cases and deaths during the 2019 coronavirus disease outbreak (COVID-19) resulted in widespread psychological problems in the Chinese population. The purpose of this study was to investigate the sleep quality and changes in sleep patterns before and during the outbreak in the general population in China and to determine factors related to sleep quality. METHODS: This cross-sectional study was conducted using an online questionnaire from 20 February to 29 February 2020 in China. Socio-demographic data, self-designed COVID-19-related characteristics, sleep patterns, and Pittsburgh Sleep Quality Index (PSQI) scores were obtained. Single factor analysis and multivariate binary logistic regression analysis were used. RESULTS: A total of 1897 individuals were included in our study, and 30.0% of participants reported suffering poor sleep quality (PSQI≥8). Logistic regression analysis found that the factors related to sleep quality included poor physical health (OR = 3.382, p < 0.001), respiratory disease (OR = 1.629, p = 0.008), other diseases (OR = 2.504, p = 0.012), suspected case of COVID-19 in the same community (OR = 1.928, p = 0.002), confirmed case of COVID-19 in the same community (OR = 2.183, p = 0.007), worry about being infected (OR = 2.336, p < 0.001), ≥1 h/day spent hearing COVID-19 information (OR = 1.960, p < 0.001), time difference in midpoint time in bed (OR = 1.230, p < 0.001), and time difference in time in bed (OR = 0.711, p < 0.001). CONCLUSIONS: Our study revealed that more than one-fourth of the participants suffered poor sleep quality during the COVID-19 outbreak. In addition to the poor health status and COVID-19-related anxiety, delayed sleep phase and reduced time in bed impacted sleep quality in the general population in China.

The role of oxidative stress in DNA damage in pancreatic ß cells induced by di-(2-ethylhexyl) phthalate.

Di(2-ethyhexyl) phthalate (DEHP) is commonly used as a plasticizer, which loosely binds to plastic materials and easily leaches out of these products and enters into the environment. Exposure to DEHP can impair pancreatic beta cells (INS-1 cells)function, which is associated with Insulin Resistance (IR) and type 2 diabetes. However, the mechanism of how DEHP leads to Insulin Resistance is unknown. Our results showed that the cell viability of INS-1 cells exposed to DEHP (0-1600 µM) were decreased in a concentration-dependent manner. DEHP caused significant increases of DNA migration and oxidative damage in INS-1 cells. Lysosomal membrane permeability was increased and mitochondrial membrane potential was reduced after INS-1 cells treated with DEHP. DEHP was also shown to induce ROS production and cause GSH depletion in INS-1 cells. DEHP brought a significant decrease in super oxide dismutase (SOD) and led to accumulation of malondialdehyde (MDA) in the INS-1 cells. DEHP increased significantly the expression of P53 and ATM gene of INS-1 cell at high dose levels. Simultaneously, Pyrroloquinoline Quinone (PQQ), an antioxidant, and alcohol were used in the study to determine their effects on DEHP-induced INS-1 cells damage. PQQ could protect the INS-1 cells from the damage induced by DEHP to some extent, while alcohol aggravated the toxic effects of DEHP. These results indicate that DEHP-mediated INS-1 cell dysfunction through a lysosomal-mitochondrial pathway, involving oxidative stress and p53 and ATM activation.