Daily relations between nap occurrence, duration, and timing and nocturnal sleep patterns in college students

Rea, Elizabeth M.; Nicholson, Laura; Mead, Michael P.; Egbert, Amy H.; Bohnert, Amy M.

doi:10.1016/j.sleh.2022.05.002

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…Rea et al collected data from 654 college students regarding sleep patterns, where they found that shorter night sleeps were associated with longer napping the following day [ 10 ]. Such finding is similar to our finding of the higher probability of more frequent napping with later bedtimes.…”

Section: Discussionmentioning

confidence: 99%

Impact of Sleep Pattern of Pharmacy College Students on Academic Performance

Thabit

Alsulami

2023

Sleep Vigilance

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Purpose Disrupted sleep pattern has shown to impact the mental health of medical sciences students. However, few studies assessed its association with academic performance, and the impact of other factors among pharmacy students. This study aimed to evaluate the relationship between different sleep pattern variables and academic performance among pharmacy students. Methods A cross-sectional study using self-administered survey was distributed to all students at a large pharmacy college in Saudi Arabia between November 2020 and February 2021. The students were asked to answer based on their sleep pattern and academic performance in the previous year of 2019–2020 (before COVID-19 lockdown). Results 237 students completed the survey. Shorter sleeps before exams and taking medicines for insomnia were significantly associated with failing at least one course (adjOR = 0.78 and 3.68; 95% CI 0.63–0.97 and 1.18–11.49; P = 0.028 and 0.025, respectively). As such, for each extra hour of sleep/night on exam nights, there is a 0.22 lower odd of failing at least one course, and taking insomnia medications increases the odds of failing by 3.68 times. Fewer sleep hours were significantly correlated with tiredness upon wake up, daytime sleepiness, and in-class sleepiness ( r s = − 0.24, − 0.38, and − 0.24, respectively; P ≤ 0.001 for all correlations). Conclusions Disrupted sleep pattern negatively impacted the academic performance of pharmacy students. Getting sufficient quality sleep, especially before exams, maybe associated with better performance and lower odds of course failures. College administrators should encourage good sleep hygiene to their students and pair the recommendations with evidence on the impact of sleep on academic performance.

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Section: Discussionmentioning

confidence: 99%

Impact of Sleep Pattern of Pharmacy College Students on Academic Performance

Thabit

Alsulami

2023

Sleep Vigilance

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“…In addition, long daytime napping may influence nighttime sleep by disturbing circadian rhythmicity ( 56 ). For example, long napping duration was found related to later bedtimes ( 57 ), increased nighttime awakenings, shorter nighttime sleep, lower sleep efficiency ( 58 ), and poorer sleep quality ( 59 ). Impaired night sleep may affect glucose metabolism through increased nocturnal cortisol concentration and sympathetic nervous system activity ( 60 ).…”

Section: Discussionmentioning

confidence: 99%

The relationship between daytime napping and glycemic control in people with type 2 diabetes

Yuan,

Wang,

Chen

et al. 2024

Front. Endocrinol.

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AimTo examine the association between napping characteristics and glycemic control in people with type 2 diabetes.DesignThis study used a cross-sectional design.MethodsA convenience sample of people with type 2 diabetes (N=226) were included. Glycemic control was indicated by HbA1c which was measured by A1C Now®+. Napping characteristics including napping frequency, duration, timing, and type were measured by validated questionnaires. Other variables, such as insomnia, cognitive impairment, and depression were measured by the Insomnia Severity Index, Montreal Cognitive Assessment, and Patient Health Questionnaire-9, respectively. Multivariate linear regression analyses were performed.ResultsThe sample consisted of 122 women (54.0%), with a median age of 67 years. Their median HbA1c was 6.8%. No significant relationship was found between napping frequency and HbA1c. Among nappers, after controlling for covariates, long napping duration (≥60 min) and morning napping were both associated with poorer glycemic control. Compared with appetitive napping, restorative napping was associated with better glycemic control.ConclusionDaytime napping (e.g., duration and type) is an important modifiable factor for glycemic control in people with type 2 diabetes. This study provides new insights into the relationship between napping and glucose management among people with diabetes.

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“…Meanwhile, studies for risk factors affecting the OOPE of TB are mostly limited to the level of patients, such as age, sex, and occupation, et al, ignoring the possible clustering of patients in different cities [ 7 , 9 , 22 ]. The multi-level model has been widely used in the study of various influencing factors, mainly applied to data with hierarchical or nested structures [ 23 , 24 ]. The main feature of the data is that the distribution among the survey objects is not independent, but there is a certain degree of aggregation, such as between cities, schools, and hospitals [ 9 , 19 – 21 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing the influencing factors of out-of-pocket costs on tuberculosis in Sichuan Province: a cross-sectional study

et al. 2023

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Background Although diagnosis and treatment services for tuberculosis (TB) are provided free of charge in most countries, direct non-medical and indirect costs due to absenteeism, also place a significant burden on patients and their families. Sichuan Province has the second highest incidence of TB in China, with an incidence of approximately 100 cases per 100 000 people. However, there are limited research on out-of-pocket expenditure (OOPE) and its influencing factors in TB patients in Sichuan Province. Methods A retrospective cross-sectional study was conducted on TB patients in designated medical institutions for TB in Sichuan Province from 2017-2021. A face-to-face questionnaire was conducted to obtain the information related to hospitalization of patients, and the multi-level regression model was used to analyse the factors that influence OOPE and total out-of-pocket expenditure (TOOPE) of TB patients. Results A total of 2644 patients were investigated, and 74.24% of TB patients and their families experienced catastrophic total costs due to TB. The median total cost was 9223.37 CNY (1429.98 USD), in which the median direct and indirect costs of TB patients were 10185.00 CNY (1579.07 USD) and 2400.00 CNY (372.09 USD), respectively, and indirect costs contributed to 43% of total costs. The median OOPE and TOOPE costs were 6024.00 CNY (933.95 USD) and 11890.50 CNY (1843.49 USD), respectively. OOPE and TOOPE had common influencing factors including whether the patient's family had four or more members, a history of hospitalization, combination with other types of TB, the number of visits before diagnosis, and co-occurrence with chronic disease. Conclusions The OOPE and TOOPE for TB patients and their families in Sichuan Province are still heavy. In the long run, it is necessary to strengthen education and awareness campaigns on TB related knowledge, disseminate basic medical knowledge to the public, improve healthcare-seeking behavior, and enhance the healthcare infrastructure to improve the accuracy of TB diagnosis and reduce the significant OOPE and TOOPE faced by TB patients and their families in Sichuan Province.

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Daily relations between nap occurrence, duration, and timing and nocturnal sleep patterns in college students

Cited by 8 publications

References 36 publications

Impact of Sleep Pattern of Pharmacy College Students on Academic Performance

Impact of Sleep Pattern of Pharmacy College Students on Academic Performance

The relationship between daytime napping and glycemic control in people with type 2 diabetes

Assessing the influencing factors of out-of-pocket costs on tuberculosis in Sichuan Province: a cross-sectional study

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