Journal articles on the topic 'Napping'
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Cai, Han, Ning Su, Wei Li, Xia Li, Shifu Xiao, and Lin Sun. "Relationship between afternoon napping and cognitive function in the ageing Chinese population." General Psychiatry 34, no. 1 (January 2021): e100361. http://dx.doi.org/10.1136/gpsych-2020-100361.
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BackgroundSeveral studies have shown that afternoon napping promotes cognitive function in the elderly; on the other hand, some studies have shown opposite results. This current study further examined the relationship between afternoon napping and cognitive function in the ageing Chinese population.MethodsA total of 2214 elderly were included (napping group: n=1534; non-napping group: n=680). They all received cognitive evaluations by the Beijing version of the Montreal Cognitive Assessment, the Mini-Mental State Examination, and the Chinese version of the Neuropsychological Test Battery. Among all the subjects, 739 elderly volunteered to take blood lipid tests.ResultsSignificant differences in cognitive function and blood lipids were observed between the napping and the non-napping groups. Afternoon napping was associated with better cognitive function including orientation, language, and memory in the present study. Subjects with the habit of afternoon napping also showed a higher level of triglyceride than the non-napping subjects.ConclusionThe results demonstrated that afternoon napping was related to better cognitive function in the Chinese ageing population.
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Murata, Yusuke, Masaki Nishida, Atsushi Ichinose, Shutaro Suyama, Sumi Youn, and Kohei Shioda. "Potential Benefits of Daytime Naps on Consecutive Days for Motor Adaptation Learning." Clocks & Sleep 4, no. 3 (August 30, 2022): 387–401. http://dx.doi.org/10.3390/clockssleep4030033.
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Daytime napping offers benefits for motor memory learning and is used as a habitual countermeasure to improve daytime functioning. A single nap has been shown to ameliorate motor memory learning, although the effect of consecutive napping on motor memory consolidation remains unclear. This study aimed to explore the effect of daytime napping over multiple days on motor memory learning. Twenty university students were divided into a napping group and no-nap (awake) group. The napping group performed motor adaption tasks before and after napping for three consecutive days, whereas the no-nap group performed the task on a similar time schedule as the napping group. A subsequent retest was conducted one week after the end of the intervention. Significant differences were observed only for speed at 30 degrees to complete the retention task, which was significantly faster in the napping group than in the awake group. No significant consolidation effects over the three consecutive nap intervention periods were confirmed. Due to the limitations of the different experimental environments of the napping and the control group, the current results warrant further investigation to assess whether consecutive napping may benefit motor memory learning, which is specific to speed.
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Newnham, David. "Caught napping." Nursing Standard 30, no. 3 (September 16, 2015): 25. http://dx.doi.org/10.7748/ns.30.3.25.s27.
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Papandreou, Christopher, Andrés Díaz-López, Nancy Babio, Miguel A. Martínez-González, Mónica Bulló, Dolores Corella, Montse Fitó, et al. "Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome." Journal of Clinical Medicine 8, no. 7 (July 19, 2019): 1053. http://dx.doi.org/10.3390/jcm8071053.
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Research examining associations between objectively-measured napping time and type 2 diabetes (T2D) is lacking. This study aimed to evaluate daytime napping in relation to T2D and adiposity measures in elderly individuals from the Mediterranean region. A cross-sectional analysis of baseline data from 2190 elderly participants with overweight/obesity and metabolic syndrome, in the PREDIMED-Plus trial, was carried out. Accelerometer-derived napping was measured. Prevalence ratios (PR) and 95% confidence intervals (CI) for T2D were obtained using multivariable-adjusted Cox regression with constant time. Linear regression models were fitted to examine associations of napping with body mass index (BMI) and waist circumference (WC). Participants napping ≥90 min had a higher prevalence of T2D (PR 1.37 (1.06, 1.78)) compared with those napping 5 to <30 min per day. Significant positive associations with BMI and WC were found in those participants napping ≥30 min as compared to those napping 5 to <30 min per day. The findings of this study suggest that longer daytime napping is associated with higher T2D prevalence and greater adiposity measures in an elderly Spanish population at high cardiovascular risk.
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Fallis, Wendy M., Diana E. McMillan, and Marie P. Edwards. "Napping During Night Shift: Practices, Preferences, and Perceptions of Critical Care and Emergency Department Nurses." Critical Care Nurse 31, no. 2 (April 1, 2011): e1-e11. http://dx.doi.org/10.4037/ccn2011710.
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BackgroundNurses working night shifts are at risk for sleep deprivation, which threatens patient and nurse safety. Little nursing research has addressed napping, an effective strategy to improve performance, reduce fatigue, and increase vigilance.ObjectiveTo explore nurses’ perceptions, experiences, barriers, and safety issues related to napping/not napping during night shift.MethodsA convenience sample of critical care nurses working night shift were interviewed to explore demographics, work schedule and environment, and napping/ not napping experiences, perceptions, and barriers. Transcripts were constantly compared, and categories and themes were identified.ResultsParticipants were 13 critical care nurses with an average of 17 years’ experience. Ten nurses napped regularly; 2 avoided napping because of sleep inertia. The need for and benefits of napping or not during night shift break were linked to patient and nurse safety. Ability to nap was affected by the demands of patient care and safety, staffing needs, and organizational and environmental factors.ConclusionsNurses identified personal health, safety, and patient care issues supporting the need for a restorative nap during night shift. Barriers to napping exist within the organization/work environment.
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Badon, Sylvia, Jessica Dietch, Joshua Tutek, Natalie Solomon, Norah Simpson, and Rachel Manber. "330 Characteristics Associated with Napping Among Pregnant Women with Insomnia." Sleep 44, Supplement_2 (May 1, 2021): A132. http://dx.doi.org/10.1093/sleep/zsab072.329.
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Abstract Introduction Napping is common in pregnant women; however, characteristics associated with napping in pregnant women with insomnia have not been studied. Methods We used baseline data from a randomized controlled trial of insomnia treatment during pregnancy for this cross-sectional analysis (n=159). Women self-reported sociodemographic characteristics (age, race/ethnicity, education, income, employment), pregnancy-related characteristics (parity, trimester), sleep-related characteristics (7-day sleep diary including total napping time per day, Insomnia Severity Index), and depression symptoms (Edinburgh Postnatal Depression Scale). Women were categorized as non-nappers (0 days with napping), infrequent nappers (1–3 days with napping), and frequent nappers (≥4 days with napping). Characteristics were compared across napping categories using descriptive statistics and multinomial logistic regression. Results Eighteen percent of women were frequent nappers, 53% were infrequent nappers, and 30% were non-nappers. Average time spent napping on days with naps was 67 minutes (SD=35). In unadjusted analyses, frequent nappers were more likely to have a high school diploma or less (36% vs 19%), be unemployed (57% vs 41%), and be nulliparous (21% vs 13%) than non-nappers. Infrequent nappers were more likely to have a 4-year college degree (32% vs 11%), have a household income $100k or more (58% vs 45%), be working full time (51% vs 39%), and be nulliparous (26% vs 13%) than non-nappers. Age, race/ethnicity, trimester, sleep-related characteristics, and depression symptoms were similar across napping categories. In analyses adjusted for education and trimester, being unemployed (OR=3.6; 95% CI: 0.8, 15.4), working part time (OR=2.3; 95% CI: 0.5, 11.2), and nulliparity (OR=2.4; 95% CI: 0.4, 14.6) were most strongly associated with frequent napping (though confidence intervals were wide) but were not associated with infrequent napping. Sleep-related characteristics were not associated with frequent or infrequent napping in adjusted analyses. Conclusion Among pregnant women with insomnia, frequent napping was associated with characteristics that suggest greater feasibility of napping (not working, working part time, pregnant with first child), but was not associated with nocturnal sleep parameters or insomnia severity. Given napping can reduce homeostatic sleep drive at bedtime, it should be addressed during insomnia treatment in pregnant women, particularly among women with greater opportunity to nap. Support (if any) National Institutes of Health (K99HD100585, R01NR013662)
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Wang, Jinqi, Zhiyuan Wu, Xiaohan Jin, Rui Jin, Ze Han, Haiping Zhang, Zongkai Xu, Yue Liu, Xiuhua Guo, and Lixin Tao. "Bidirectional Associations between Daytime Napping Duration and Metabolic Syndrome: A Nationally Representative Cohort Study." Nutrients 14, no. 24 (December 12, 2022): 5292. http://dx.doi.org/10.3390/nu14245292.
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Background: We aimed to examine the bidirectional associations between daytime napping duration and metabolic syndrome (MetS). Methods: Using data from the China Health and Retirement Longitudinal Study from 2011 to 2015, modified Poisson regression models were performed to explore the longitudinal associations of baseline napping duration with the occurrence and remission of MetS. Generalized estimating equation was conducted to explore the association between baseline MetS status with subsequent changes in daytime napping duration. Cross-lagged panel analysis was performed to further verify their bidirectional relationships. Results: During the four-year follow-up, among 5041 participants without MetS at baseline, extended naps were significantly associated with MetS occurrence, compared with non-napping. This association was only significant in individuals with adequate night-time sleep duration or good sleep quality of the 2898 participants with MetS at baseline. Excessive napping duration may be not favorable for MetS remission especially for adequate night-time sleepers. With respect to reverse associations, baseline MetS status significantly increased the napping duration during the subsequent follow-up period. Finally, there were significant bidirectional cross-lagged associations between napping duration and MetS severity score after adjusting for all covariates. Conclusions: Our study indicates bidirectional relationships exist between daytime napping duration and MetS. Interestingly, longer napping duration was detrimental to cardiometabolic health only in those with sufficient night-time sleep duration or good sleep quality.
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Berkley, A. S., and P. A. Carter. "0839 Napping Stigma Among Frail Older Adults: Reflections from a Qualitative Study." Sleep 43, Supplement_1 (April 2020): A319—A320. http://dx.doi.org/10.1093/sleep/zsaa056.835.
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Abstract Introduction Napping and other daytime sleep is often overlooked in insomnia research and poorly defined in many studies. Research has shown some correlations between older adults’ napping habits and increased medical co-morbidities and risks of dementia, but it has also shown that napping enhances memory consolidation and broader aspects of cognition in younger adults. Where along the aging spectrum this line between beneficial napping and potentially risky napping falls is not clear. Methods This study employed a qualitative descriptive approach in which semi-structured interviews (N=18) were supplemented by the widely used self-report instruments and anxiety scales. Results Insomnia in these older adults directly resulted in reduced energy and stamina, poor mood, and reduced functional capacity. Indirect effects included reduced social interaction and increased isolation. Several participants reported napping in qualitative interviews but denied daytime sleep on standard sleep assessments, and associated napping with anxiety and dread of functional and cognitive decline. Planned or intentional napping was viewed with guilt and denial, while dozing off accidentally was considered an acceptable coping strategy. Conclusion While research about the relationships between disordered sleep and cognitive impairment is still at an early stage, it seems ironic that the participants in this study stigmatized planned napping, which could potentially benefit their cognitive functioning, but seemed accepting of accidental napping, which may well indicate some more serious cognitive issues. More education about sleep needs for older adults is needed. Support I am grateful to the Longhorn Village chapter of Texas Exes for their Gerontology Nursing Scholarship, which helped to fund this project.
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Häusler, Nadine, Jose Haba-Rubio, Raphael Heinzer, and Pedro Marques-Vidal. "Association of napping with incident cardiovascular events in a prospective cohort study." Heart 105, no. 23 (September 9, 2019): 1793–98. http://dx.doi.org/10.1136/heartjnl-2019-314999.
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ObjectiveThere is controversy regarding the effect of napping on cardiovascular disease (CVD), with most studies failing to consider napping frequency. We aimed to assess the relationship of napping frequency and average nap duration with fatal and non-fatal CVD events.Methods3462 subjects of a Swiss population based cohort with no previous history of CVD reported their nap frequency and daily nap duration over a week, and were followed over 5.3 years. Fatal and non-fatal CVD events were adjudicated. Cox regressions were performed to obtain HRs adjusted for major cardiovascular risk factors and excessive daytime sleepiness or obstructive sleep apnoea.Results155 fatal and non-fatal events occurred. We observed a significantly lower risk for subjects napping 1–2 times weekly for developing a CVD event (HR 0.52, 95% CI 0.28 to 0.95) compared with non-napping subjects, in unadjusted as well as adjusted models. The increased HR (1.67, 95% CI 1.10 to 2.55) for subjects napping 6–7 times weekly disappeared in adjusted models (HR 0.89, 95% CI 0.58 to 1.38). Neither obstructive sleep apnoea nor excessive daytime sleepiness modified this lower risk. No association was found between nap duration and CVD events.ConclusionSubjects who nap once or twice per week have a lower risk of incident CVD events, while no association was found for more frequent napping or napping duration. Nap frequency may help explain the discrepant findings regarding the association between napping and CVD events.
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Silva-Costa, Aline, Rosane Härter Griep, and Lúcia Rotenberg. "Night work and BMI: is it related to on-shift napping?" Revista de Saúde Pública 51 (November 24, 2017): 97. http://dx.doi.org/10.11606/s1518-8787.2017051007094.
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On-shift napping can benefit night workers regarding sleep loss, synchronization of circadian rhythms, and alertness. However, few studies on napping can be found in the literature focused on possible health benefits. This cross-sectional study has investigated the role of on-shift napping on the association between night work and BMI in 409 night-shift nursing professionals. The number of working nights and the years of exposure to night work were significantly associated with increased BMI levels among non-nappers, but not among nappers. Results suggest a benefit of napping for weight gain, thus subsidizing occupational health policies on the regulation of on-shift napping among nursing workers.
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Nakayama, Natsuki, Toshio Hayashi, Masahiko Miyachi, Koji Negi, Koji Watanabe, and Makoto Hirai. "Napping Improves HRV in Older Patients With Cardiovascular Risk Factors." Western Journal of Nursing Research 41, no. 9 (January 11, 2019): 1241–53. http://dx.doi.org/10.1177/0193945918824603.
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Heart rate variability (HRV), especially increased high frequency (HF), has been reported to provide clinically useful prognostic information regarding cardiovascular disease. Napping is an excellent sleep management strategy in older adults. This study was conducted to clarify the effect of napping on HRV in older adult patients with cardiovascular risk factors. The patients were divided into two groups: one group of 32 patients who reported napping (nap group) and another group of 45 patients who did not report napping (nonnap group). The HRV was calculated in terms of the HF component over 24 hr during wakefulness, sleep, and 1 hr after sleep onset. The HF in the nap group was significantly higher than that in the nonnap group during all times measured. In addition, napping was a significant predictor of increased HF. This study shows the effectiveness of napping in the daily lives of patients with cardiovascular risk factors.
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Humm, Christopher. "Night-shift napping." Nursing Standard 22, no. 17 (January 2, 2008): 20–21. http://dx.doi.org/10.7748/ns.22.17.20.s24.
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Elsayed, Dahlia. "Conjuring, Willing, Napping." Ecotone 12, no. 2 (2017): 120. http://dx.doi.org/10.1353/ect.2017.0022.
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Moloney, Steve. "Caught CAT-napping." Physics World 22, no. 09 (September 2009): 21. http://dx.doi.org/10.1088/2058-7058/22/09/28.
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Haupt, R. L. "Napping improves ethics." IEEE Antennas and Propagation Magazine 48, no. 3 (June 2006): 118. http://dx.doi.org/10.1109/map.2006.1703442.
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Nishida, Masaki, Atsushi Ichinose, Yusuke Murata, and Kohei Shioda. "Effect of napping on a bean bag chair on sleep stage, muscle activity, and heart rate variability." PeerJ 10 (May 9, 2022): e13284. http://dx.doi.org/10.7717/peerj.13284.
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Background Although ample evidence has demonstrated that daytime napping is beneficial for health and cognitive performance, bedding for napping has not yet been scientifically investigated. Objectives To explore the effect of a bean bag chair on daytime napping and physiological parameters related to sleep. Methods Fourteen healthy participants were enrolled within the context of a randomized, single-blind, crossover study to evaluate the effects of a bean bag chair in comparison with those of a urethane chair manufactured to have a similar shape. Electroencephalogram, electromyogram, and heart rate variability were recorded and compared between wakefulness and napping. Results Electroencephalogram analyses revealed no significant differences in sleep architecture or frequency components; however, a significant decrease was found in electromyogram recordings in the trapezius muscle, which represents the neck region (p = 0.019). Additionally, a significant main effect of bedding in the low-frequency/high-frequency ratio (F[1,20] = 4.314, p = 0.037) was revealed. Conclusions These results suggest that napping in a bean bag chair may provide a comfortable napping environment involving muscle relaxation and proper regulation of the autonomic nervous function.
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Tzuang, M., J. T. Owusu, J. Huang, O. C. Sheehan, G. W. Rebok, J. Kasper, and A. P. Spira. "0844 Links of Napping With Subsequent All-Cause Hospitalizations and Emergency Department Visits in Older Adults." Sleep 43, Supplement_1 (April 2020): A321—A322. http://dx.doi.org/10.1093/sleep/zsaa056.840.
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Abstract Introduction Few studies have examined whether napping is associated with objective measures of health services use. We investigated links of napping characteristics with all-cause hospitalizations and emergency department (ED) visits in Medicare claims from a nationally representative sample of older adults. Methods Participants were 869 community-dwelling Medicare beneficiaries aged ≥65 years from Round 3 (2013) and Round 4 (2014) of the National Health and Aging Trends Study (NHATS) who had continuous fee-for-service coverage 1 year before and after the NHATS interview. Participants reported past-month napping frequency (re-categorized as non-nappers, infrequent nappers, frequent nappers), napping type (intentional, unintentional), and nap duration. Outcomes were from linked Medicare claims measured after napping assessment: all-cause ED visits and hospitalizations (yes vs. no), and number of hospitalizations and ED visits. Results Overall, 45.4% of participants were nappers, and 55.2% of the nappers reported taking unintentional naps. After adjustment for demographics, depressive/anxiety symptoms, medical comorbidities and BMI, compared with non-nappers, infrequent and frequent nappers had a higher odds of hospitalization (odds ratio (OR)=1.65 and 1.73, respectively, both p<0.05), as did unintentional nappers (OR=1.85, p<0.05). We found no significant adjusted associations of napping frequency with ED visits. However, compared with non-nappers, unintentional nappers had a higher odds of visiting the ED (OR=1.94, p<0.01). Additionally, compared to nappers taking short naps (≤30 minutes), those with naps >60 minutes had a greater number of ED visits (Incidence Rate Ratio=1.99, p<0.05). Conclusion Among older adults, napping—and particularly unintentional napping—may be a modifiable risk factor for health services use. More studies that consider multiple napping characteristics (e.g., duration, frequency), and using objective measures (e.g., actigraphy), are needed to advance understanding of how napping might influence health services use. Support National Institute on Aging: R01AG050507 & R01AG050507-02S (PI: Spira); F31-AG058389; U01AG032947 (PI: Kasper) for the National Health and Aging Trends Study. Johns Hopkins Center on Aging and Health Data Use Agreement (PI: Roth, Co-I: Sheehan) with Centers for Medicare & Medicaid Services titled, “Potentially modifiable factors influencing outcomes in NHATS.”
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Woods, Diana Lynn, and Maria Yefimova. "Evening Cortisol Is Associated With Intra-Individual Instability in Daytime Napping in Nursing Home Residents With Dementia." Biological Research For Nursing 14, no. 4 (July 17, 2012): 387–95. http://dx.doi.org/10.1177/1099800412451118.
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Background: Circadian rhythm disruption, reflected in alterations in sleep–wake activity and daytime napping behavior, is consistently reported in nursing home (NH) residents with dementia. This disruption may be reflected in day-to-day instability. The concept of allostatic load (AL), a measure of cumulative biological burden over a lifetime, may be a helpful model for understanding cortisol diurnal rhythm and daytime napping activity in this population. The purpose of this study was to examine the association between intra-individual daytime napping episodes and basal cortisol diurnal rhythm in NH residents with dementia in the context of AL. Method: Using a within-individual longitudinal design ( N = 51), the authors observed and recorded daytime napping activity every 20 min for 10 hr per day across 4 consecutive days. The authors obtained saliva samples 4 times each day (upon participants’ waking and within 1 hr, 6 hr, and 12 hr of participants’ wake time) for cortisol analysis. Results: The authors categorized participants as high changers (HCs; day-to-day instability in napping activity) or low changers (LCs; day-to-day stability). There were no significant differences in resident characteristics between groups. There was a significant difference between HCs and LCs in napping episodes ( F = 4.86, p = .03), with an interaction effect of evening cortisol on napping episodes in the HC group ( F = 10.161, p = .001). Conclusions: NH residents with unstable day-to-day napping episodes are more responsive to alterations in evening cortisol, an index of a dysregulated hypothalamic-pituitary-adrenal (HPA) axis. They may also be more amenable to environmental intervention, an avenue for further research.
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Thorpe, Karen, Sally Staton, Emily Sawyer, Cassandra Pattinson, Catherine Haden, and Simon Smith. "Napping, development and health from 0 to 5 years: a systematic review." Archives of Disease in Childhood 100, no. 7 (February 17, 2015): 615–22. http://dx.doi.org/10.1136/archdischild-2014-307241.
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BackgroundDuration and quality of sleep affect child development and health. Encouragement of napping in preschool children has been suggested as a health-promoting strategy.ObjectivesThe aim of this study is to assess evidence regarding the effects of napping on measures of child development and health.DesignThis study is a systematic review of published, original research articles of any design.SubjectsChildren aged 0–5 years.MethodElectronic database search was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and assessment of research quality was carried out following a Grading of Recommendations, Assessment, Development and Evaluations (GRADE) protocol.ResultsTwenty-six articles met inclusion criteria. These were of heterogeneous quality; all had observational designs (GRADE-low). Development and health outcomes included salivary cortisol, night sleep, cognition, behaviour, obesity and accidents. The findings regarding cognition, behaviour and health impacts were inconsistent, probably because of variation in age and habitual napping status of the samples. The most consistent finding was an association between napping and later onset, shorter duration and poorer quality of night sleep, with evidence strongest beyond the age of 2 years.LimitationsStudies were not randomised. Most did not obtain data on the children's habitual napping status or the context of napping. Many were reliant on parent report rather than direct observation or physiological measurement of sleep behaviour.ConclusionsThe evidence indicates that beyond the age of 2 years napping is associated with later night sleep onset and both reduced sleep quality and duration. The evidence regarding behaviour, health and cognition is less certain. There is a need for more systematic studies that use stronger designs. In preschool children presenting with sleep problems clinicians should investigate napping patterns.
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Li, P., L. Gao, A. Gaba, A. S. Buchman, D. A. Bennett, K. Hu, and Y. Leng. "1141 Daytime Napping Trajectory Over Time And Its Association With Cognitive Aging: A 13-year Community-based Longitudinal Study Of Older Adults." Sleep 43, Supplement_1 (April 2020): A434—A435. http://dx.doi.org/10.1093/sleep/zsaa056.1135.
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Abstract Introduction Daytime napping is common in elderly adults and has been associated with cognitive impairment. Prior studies have assessed napping at one time point, making it difficult to examine the longitudinal progression of napping and its association with cognitive aging. We examined objectively measured daytime napping longitudinally across different stages of Alzheimer’s disease (AD): from no cognitive impairment (NCI), to mild cognitive impairment (MCI), and to Alzheimer’s dementia. Methods We studied 1,066 participants (female: 810; age: 81.0±7.3 [SD]) in the Rush Memory and Aging Project who have been followed for up to 13 years. Motor activities of up to 10 days were recorded annually and used to assess napping objectively. We defined daytime napping episodes as segments between 10AM and 7PM with continuous zero-activity for ≥10min but <1h (to avoid off-wrist periods). Segments that were <5min apart were merged. Cognitive and clinical evaluations were administered annually to render a clinical diagnostic classification of NCI, MCI, or Alzheimer’s dementia. To examine how napping duration and frequency change with the progression of AD, we performed linear mixed-effects models with 2 change points anchored at the diagnoses of MCI and AD while adjusted for age, sex, and education. Results At baseline, participants had 1.44±0.04 (mean±standard error) naps with an accumulated duration of 35.0±1.1 min per day. Napping duration increased by 5.2±0.3 min and frequency increased by 0.21±0.01 times every year (both p<0.0001). The rate of increase was more than doubled after MCI diagnosis with an annual increase of 11.4±0.7 min in duration and 0.40±0.02 times in frequency (both p<0.0001); these were doubled further after AD diagnosis with an annual change of 26.3±3.1 min in duration and 0.84±0.08 times in frequency (both p<0.0001). Conclusion Daytime napping duration and frequency increase with aging, and the increase was accelerated with AD progression. Support This work was supported by NIH grants RF1AG064312, RF1AG059867, R01AG017917, and R01AG56352.
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Kong, Lingfeng, Yufei Cui, and Qiang Gong. "Duration of Daytime Napping Is Related to Physical Fitness among Chinese University Students." International Journal of Environmental Research and Public Health 19, no. 22 (November 18, 2022): 15250. http://dx.doi.org/10.3390/ijerph192215250.
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Reportedly, daytime napping affects the physical fitness of athletes. However, results of these studies are conflicting, and may not be generalizable to all populations. Early adulthood is an important period linking adolescents and adults, during which building good physical fitness is crucial for their remaining lives. Thus, we investigated whether daytime napping duration is associated with physical fitness among Chinese university students. This study was based on an annual physical health examination for all university students and included 11,199 participants (6690 males; 4509 females). The daytime napping duration was assessed using a self-report questionnaire. Physical fitness was measured with a 50 m sprint; 1000 m (for males) and 800 m (for females) runs; standing long jump, sit-and-reach, pull-up (for males), and sit-up (for females) tests; and vital capacity. The adjusted association was evaluated using analysis of covariance. Of the participants, 86% napped regularly. After covariate adjustment was performed, significant V-shaped associations were observed between the daytime napping duration and the 50 m sprint and 800 m run results in males and females. Inverted V-shaped associations were observed between the daytime napping duration and the sit-and-reach, standing long jump, and pull-up test performances and vital capacity in males and between the daytime napping duration and the standing long jump test performance in females. Daytime napping for <30 min may have beneficial effects on physical fitness among university students.
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Lin, Li, Ciyong Lu, Weiqing Chen, and Vivian Yawei Guo. "Daytime Napping and Nighttime Sleep Duration with Incident Diabetes Mellitus: A Cohort Study in Chinese Older Adults." International Journal of Environmental Research and Public Health 18, no. 9 (May 9, 2021): 5012. http://dx.doi.org/10.3390/ijerph18095012.
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Background: We aimed to examine the longitudinal associations between daytime napping and nighttime sleep duration with the risk of diabetes mellitus (DM) among Chinese elderly using data from the China Health and Retirement Longitudinal Study (CHARLS). Methods: A cohort study was conducted among 2620 participants aged 60 years or above. Information on daytime napping and nighttime sleep duration was self-reported during the 2011 baseline survey. DM status during the 2015 follow-up survey was confirmed according to the American Diabetes Association criteria. Results: Individuals with long daytime napping (>1 h/day) had increased risk of developing DM than non-nappers (adjusted RR = 1.52, 95%CI: 1.10, 2.10). In addition, we observed a U-shaped association between nighttime sleep duration and incident DM risk. We further found that nappers with <4 h of nighttime sleep, and those with >1 h of daytime napping and >6 h nighttime sleep had approximately two-fold elevated risk of DM, compared to non-nappers with 6–8 h of nighttime sleep. Conclusion: Long daytime napping and extreme nighttime sleep duration were associated with increased DM risk among Chinese elderly. There was a joint effect of long daytime napping and nighttime sleep duration on the risk of DM.
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Mo, Tingting, Yufei Wang, Hui Gao, Wending Li, Lue Zhou, Yu Yuan, Xiaomin Zhang, et al. "Sleep Duration, Midday Napping, and Serum Homocysteine Levels: A Gene–Environment Interaction Study." Nutrients 15, no. 1 (January 1, 2023): 210. http://dx.doi.org/10.3390/nu15010210.
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The associations of sleep duration and midday napping with homocysteine (Hcy) levels, and whether these sleep behaviors modify the association between genetic predisposition and Hcy levels, has yet to be investigated. We included 19,426 participants without severe health conditions at baseline from the Dongfeng–Tongji cohort. In a subgroup of 15,126 participants with genetic data, a genetic risk score (GRS) based on 18 Hcy-related loci was constructed to test the gene–sleep interactions in Hcy. Hcy levels were higher in subjects with a long sleep duration (≥9 h) and midday napping (>90 min), as compared to those who reported a moderate sleep duration (7 to <8 h) and midday napping (1–30 min) (all p values < 0.05). A long sleep duration and midday napping showed a joint effect in increasing Hcy (p for trend < 0.001). Significant interactions regarding Hcy levels were observed for a long sleep duration with GRS and MTHFR rs1801133, and long midday napping with DPEP1 rs12921383 (all p values for interaction < 0.05). Overall findings indicated that a long sleep duration and midday napping were associated with elevated serum Hcy levels, independently and jointly, and amplified the genetic susceptibility to higher Hcy.
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Shen, Yuqi, Darlynn Rojo-Wissar, Katherine Duggan, Brant Hasler, and Adam Spira. "546 Association of personality traits with napping behaviors in older adults." Sleep 44, Supplement_2 (May 1, 2021): A215. http://dx.doi.org/10.1093/sleep/zsab072.544.
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Abstract Introduction Greater neuroticism and lower conscientiousness are linked to poorer nighttime sleep among older adults, but little is known about the association between personality and daytime sleep. Napping increases in older adulthood, and napping has been linked to health outcomes, including cognitive impairment. Thus, it is important to extend personality and sleep research to investigate napping behavior. We examined the association between personality and napping in a nationally representative cohort of older adults. Methods We studied 742 adults aged ≥65 years from the National Health and Aging Trends Study (NHATS) who completed the sleep and personality modules in NHATS rounds 3 or 4 (2013–2014). Personality dimensions (neuroticism, extraversion, openness, agreeableness, conscientiousness) were assessed by the Midlife Development Inventory Personality Scales. Participants reported nap frequency over the past month (most days or everyday [nappers-frequent]; some days [nappers-infrequent]; rarely/never [non-nappers]); napping intention (intentional/unintentional); and average nap duration (coded as ≤40 minutes [short]; and >40 minutes [long], consistent with previous studies). Personality dimensions were included together in all models. Model 1 adjusted for age, sex, education, and BMI, and Model 2 further adjusted for anxiety and depression, comorbidities, sleep medications, and nighttime sleep duration. Only nappers were included in models with nap frequency, intention, or duration as outcomes (n=387). Results There were no personality differences between nappers and non-nappers. Among nappers, however, higher neuroticism was associated with lower odds of frequent naps (OR=0.73, 95% CI: 0.55,0.97), and higher agreeableness was associated with greater odds of unintentional napping (OR=1.95, 95% CI:1.12, 3.41) and lower odds of long nap duration (OR=0.54, 95% CI:0.33, 0.90) in Model 1. Associations remained in Model 2. Higher neuroticism was also associated with greater odds of long nap duration in Model 1 (OR=1.40, 95% CI:1.03, 1.91), but not after further adjustment in Model 2. Conclusion This is, to our knowledge, the first study examining the association between personality and daytime napping behaviors among a large sample of older adults, extending the literature on personality and nighttime sleep in this population. Because napping behaviors are associated with health outcomes, personality may be an important factor to consider in interventions addressing napping. Support (if any) NIH grant 5T32MH014592-39
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Esterline, Katherine, and Rebecca L. Gómez. "The Role of Sleep in Retention of New Words in Habitually and Non-Habitually Napping Children." Brain Sciences 11, no. 10 (October 5, 2021): 1320. http://dx.doi.org/10.3390/brainsci11101320.
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Daytime napping contributes to retention of new word learning in children. Importantly, children transition out of regular napping between ages 3–5 years, and the impact of this transition on memory is unclear. Here, we examined the performance of both non-habitually napping children (nap 0–3 days per week, n = 28) and habitually napping children (nap 4–7 days per week, n = 30) on a word learning task after a delay including either sleep or wakefulness. Children ages 3.5–4.5 years old experienced a brief exposure to two novel labels and their referents during training, a scenario that replicates learning experiences children encounter every day. After a 4-h delay, children were tested on the object-label associations. Using mixed effects logistic regression, we compared retention performance. Non-habitual nappers and habitual nappers displayed a different pattern of retention such that non-habitually napping children did equally well on a test of retention regardless of whether they napped or stayed awake during the delay. In contrast, habitually napping children needed a nap after learning to retain the novel object-label associations 4 h later. As a group, habitual nappers who remained awake after learning performed no better than chance on the retention test. As children transition out of naps, they may be less susceptible to interference and are better able to retain newly learned words across a delay including wakefulness.
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Pereira, Rui, Iuliana Hartescu, Kevin Morgan, Robin Jackson, Jason Ellis, Knashawn Morales, and Michael Perlis. "323 Is daytime napping a risk factor for persistent insomnia symptoms?" Sleep 44, Supplement_2 (May 1, 2021): A129—A130. http://dx.doi.org/10.1093/sleep/zsab072.322.
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Abstract Introduction Napping, episodes of short daytime sleep separated from the main sleep period, can compensate for the detrimental effects of inadequate night-time sleep or, as ‘siestas’, may form an integral part of personal sleep-wake schedules. Napping may also precipitate or perpetuate insomnia symptoms through the erosion of homeostatic sleep pressure at night. Using longitudinal data, these analyses were designed to evaluate links between daytime napping styles and the incidence of persistent insomnia symptoms, in a sample of middle aged and older adult good sleepers at baseline. Methods 567 participants (65% female; >35 years old) were sub-sampled from the NITES cohort (Perlis et al, 2019). All were self-rated good sleepers, reporting typical sleep latencies (5 nights/week) and WASO durations of = 1 nap/baseline period) or habitual (>= 2 naps/week). ‘Persistent insomnia symptoms’ cases reported sleep initiation and/or maintenance complaints on >= 3 nights/week for at least two consecutive weeks. Relationships between nap categories and the incidence of persistent insomnia symptoms arising in months 4–12 of the study were assessed in logistic regression models adjusted for age, gender, employment status and depression. Risk is expressed as the odds ratio (OR) with 95% confidence interval (CI). Results Prevalence rates for ever/habitual napping were 57% and 10%. Unemployed status and aged 50+ significantly increased habitual nap probability. The 1-year incidence of persistent insomnia symptoms was 5.6%. In logistic regression models, ‘ever’ napping was associated with an almost 3-fold increase in the risk of developing persistent insomnia symptoms (OR=2.994; 95% CI 1.244–6.969; p=.014). When the logistic regression model was rerun with habitual napping, the risk attenuated substantially (OR = 1.4, 95% CI .592–3.163; p=.463). Conclusion These results suggest that napping patterns serve as a marker for insomnia symptom development, with haphazard non-habitual napping patterns associated with significantly greater risk. Support (if any) RP: Loughborough University doctoral studentship; MP: K24AG055602 & R01AG041783 (NITES).
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Han, Jing, Rendong Huang, Lei Yue, Naixue Cui, and Fenglin Cao. "585 The Relationship between Napping and Behavioral Problems among Vocational High School Students in China." Sleep 44, Supplement_2 (May 1, 2021): A231. http://dx.doi.org/10.1093/sleep/zsab072.583.
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Abstract Introduction Although napping is very common and related to the outcome of individual development, the relationship between napping and health is not the same in different social and cultural contexts. In China, napping is considered as a healthy lifestyle and is often associated with better adolescent development outcomes. As a special group of teenagers (the academic level does not meet the requirements of ordinary high school), vocational high school students have a higher incidence of behavioral problems than ordinary high school students. Therefore, the purpose of this study is to explore the characteristics of napping and its relationship with behavioral problems in vocational high school students. Methods The napping questionnaire, Youth Self Report (YSR), general information questionnaire and other tools for covariates were used to measure 2505 high school students (62.04% boys, 37.96% girls, 16.71±0.02 years), recruited by convenient sampling. The relationship between nappingand behavioral problems was analyzed by multiple linear regression. Results 72.58% of the participants reported taking a midday nap at least three days per week during the past month, and 55.79% of our sample reported naps more than 30 minutes. Multiple regression analysis showed that nap frequency was negatively associated with high school students’ behavior problems after controlling for general characteristics and other important covariates. Compared with high school students who did not nap or napped less than 1 time/week, high school students who napped 1–2 times/week or 3–4 times/week had lower level of both internalizing behavior problems and externalizing behavior problems. There was no statistically significant association between nap duration and behavior problems. Conclusion This study finds that when napping is allowed, moderate frequency of napping is associated with lower level of internalizing and externalizing behavioral problems in vocational high school students, while nap duration is not significantly associated with behavioral problems. Further research is needed to explore the mechanism of the relationship between napping and behavior problems. Support (if any):
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Sieberichs, Sebastian, and Annette Kluge. "Effects of In-Flight Countermeasures to Mitigate Fatigue Risks in Aviation." Aviation Psychology and Applied Human Factors 8, no. 2 (September 2018): 86–92. http://dx.doi.org/10.1027/2192-0923/a000143.
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Abstract. Fatigue is a frequent phenomenon for pilots doing shift work and working in changing time zones. Napping or increased cockpit lighting, so-called in-flight countermeasures, may help pilots mitigate the symptoms of acute fatigue. This study investigated the impact of napping on sleep quality and the effect of in-flight countermeasures on how often pilots notice fatigue symptoms when feeling tired. In total, 106 German-speaking pilots participated in an online survey. The results showed a medium correlation between napping and improved sleep quality (r = .32) and a low-to-medium correlation between a frequent usage of in-flight countermeasures and less acute physical fatigue symptoms (r = −.22). Officers indicate using napping more often than captains do (d = .70). Further research should investigate how cabin crew members can benefit from mitigating measures.
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Sirohi, Priya, Moazzam Hussain Khan, Saurabh Sharma, Shibili Nuhmani, Wafa Hashem Al Muslem, and Turki Abualait. "A systematic review of effects of daytime napping strategies on sports performance in physically active individuals with and without partial-sleep deprivation." PeerJ 10 (December 1, 2022): e14460. http://dx.doi.org/10.7717/peerj.14460.
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Background Sleep is the body’s natural recovery process, restoring routine metabolic and regulatory functions. Various sleep interventions have been developed to facilitate recovery, and athletic performance, and daytime napping are among them. However, due to inconsistencies in studies, it remains unclear whether daytime napping affects sports performance. This article aims to review the effects of daytime napping on various variables of sports performance in physically active individuals with and without partial-sleep deprivation. Methods A systematic search in three clinical databases, namely Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, and Web of Science, was conducted. To be included in the current review, the study should be a randomized controlled trial that evaluated the influence of daytime napping on one or more components of sports performance in healthy adults, 18 years old or older. Results In the accessible data available until December 2021, 1,094 records were found, of which 12 relevant randomized controlled trials were selected for qualitative synthesis. The majority of studies reported favourable effects of daytime napping on sports performance. However, only one study reported no significant impact, possibly due to a different methodological approach and a shorter nap duration. Conclusion Napping strategies optimize sports performance in physically active, athletic populations, benefitting partially sleep-deprived and well-slept individuals, with longer nap durations (~90 min) having more significant advantages. Daytime naps can be considered as cost-efficient, self-administered methods promoting recovery of body functions.
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McPhillips, Miranda V., Junxin Li, Nancy A. Hodgson, Pamela Z. Cacchione, Victoria V. Dickson, Nalaka S. Gooneratne, and Barbara Riegel. "Daytime sleepiness and napping in nursing-home eligible community dwelling older adults: A mixed methods study." Gerontology and Geriatric Medicine 6 (January 2020): 233372142097073. http://dx.doi.org/10.1177/2333721420970730.
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Objectives: To describe perceptions and beliefs about daytime sleepiness and napping along with subjective and objective daytime sleep characteristics in nursing-home eligible community dwelling older adults. Methods: A mixed methods study; we conducted semi-structured interviews and measured sleep variables via Actigraphy, sleep diary, and Epworth Sleepiness Scale (ESS). Napping was defined as >10 minutes; anything less was considered dozing. Results: Final sample ( n = 40) was primarily female (85%), Black (100%), with a mean age of 72 ± 9.5 years. Few (25%) reported daytime sleepiness (ESS >10). However, average duration of napping per day was 33.1 ± 11.5 minutes with a nap frequency of 2.5 ± 1.5 naps. Conclusion: Our sample napped frequently throughout the day, yet the majority reported no daytime sleepiness. These older adults did not always recognize napping or how much they napped.
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Bursztyn, Michael. "Daytime Napping Masks Dipping." American Journal of Hypertension 32, no. 7 (April 12, 2019): e1-e1. http://dx.doi.org/10.1093/ajh/hpz051.
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Farmilo, Karen. "Power Napping for Nurses." AJN, American Journal of Nursing 114, no. 5 (May 2014): 11. http://dx.doi.org/10.1097/01.naj.0000446754.24180.03.
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Mednick, S. C. "Napping helps preschoolers learn." Proceedings of the National Academy of Sciences 110, no. 43 (October 11, 2013): 17171–72. http://dx.doi.org/10.1073/pnas.1316489110.
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Martin, Jennifer L., and Sonia Ancoli-Israel. "Napping in Older Adults." Sleep Medicine Clinics 1, no. 2 (June 2006): 177–86. http://dx.doi.org/10.1016/j.jsmc.2006.04.011.
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Nave, Rachel, Ron Peled, and Peretz Lavie. "Melatonin improves evening napping." European Journal of Pharmacology 275, no. 2 (March 1995): 213–16. http://dx.doi.org/10.1016/0014-2999(94)00769-4.
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Åkerstedt, Torbjörn, and Lars Torsvall. "Napping in Shift Work." Sleep 8, no. 2 (June 1985): 105–9. http://dx.doi.org/10.1093/sleep/8.2.105.
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GOMEZ, NANCY. "Napping on the job?" Nursing 38, no. 12 (December 2008): 8. http://dx.doi.org/10.1097/01.nurse.0000342001.46235.72.
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REIMÃO, RUBENS, JOSÉ CARLOS SOUZA, CARLOS EDUARDO VILELA GAUDIOSO, HELLEN DA COSTA GUERRA, ANDREA DAS CHAGAS ALVES, JOLENE CRISTINA FERREIRA OLIVEIRA, NILTON CEZAR ANTONIO GNOBIE, and DESIRRÉE CORREA GUERRA SILVÉRIO. "Siestas among Brazilian native Terena adults: a study of daytime napping." Arquivos de Neuro-Psiquiatria 58, no. 1 (March 2000): 39–44. http://dx.doi.org/10.1590/s0004-282x2000000100006.
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Regular daytime napping behavior, also known as siesta culture, is influenced by circadian, cultural and environmental factors. This research analyzes characteristics of regular daytime napping in Brazilian Native Terenas. We evaluared 65 adults ( 32 M; 33 F ) from 18 to 75 years, with a mean age of 37.2, from the Indian Reservation village Córrego do Meio, in the central region of Mato Grosso do Sul. Daytime napping characteristics were evaluated by means of a standard questionnaire applied to each individual. It was observed that weekly daytime napping (at least once a week) was present in 72.3% of the population. There was a tendency to occur in males. The effects of weekends was mild. Mean onset time of daytime sleep was 12.2 h, remarkably earlier than usually described in urban populations. This data stresses the need to consider ethnic influences in order to understand sleep habits.
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Foscolou, Alexandra, Nathan M. D’Cunha, Nenad Naumovski, Stefanos Tyrovolas, Loukianos Rallidis, Antonia-Leda Matalas, Evangelos Polychronopoulos, Labros S. Sidossis, and Demosthenes Panagiotakos. "Midday Napping and Successful Aging in Older People Living in the Mediterranean Region: The Epidemiological Mediterranean Islands Study (MEDIS)." Brain Sciences 10, no. 1 (December 26, 2019): 14. http://dx.doi.org/10.3390/brainsci10010014.
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The aim of the present study was to investigate the association between midday napping, sleeping hours, and successful aging among 2564 older (65+ years) individuals living in the insular Mediterranean region. Anthropometric, clinical, and socio-demographic characteristics, dietary habits, and lifestyle parameters were derived through standard procedures, while successful aging was evaluated using the validated Successful Aging Index (SAI; range 0–10). Of the 2564 participants, 74% reported midday napping. The SAI score was 2.9/10 for non-midday nappers vs. 3.5/10 for midday nappers (p = 0.001). Midday nappers were more likely to be physically active (p = 0.01) and to have higher adherence to the Mediterranean diet (p = 0.02) compared to non-midday nappers. In a fully adjusted model, midday nappers had 6.7% higher SAI score compared to the rest (p < 0.001), and the effect of midday napping was more prominent among males and participants 80+ years of age. Further analysis indicated a significant U-shaped trend between sleeping hours/day and SAI score (p < 0.001), with 8–9 h total of sleep/day, midday napping included, proposed as optimal in achieving the best SAI score. Midday napping seems to be a beneficial habit that should be promoted and encouraged in older people.
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Wei, Wei, and Weimin Liu. "Sleep Pattern Is Related to Mental Health among Chinese Collegiate Student Athletes." International Journal of Environmental Research and Public Health 19, no. 15 (July 23, 2022): 8961. http://dx.doi.org/10.3390/ijerph19158961.
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Regarding the association between sleep and napping duration and mental health in young and older adults, some studies indicated a positive association, while others indicated a negative, or no, association between them. Moreover, collegiate student athletes have different mental health stressors, such as training pressure, improving sports performance, and relationships with coaches. Therefore, sleep is important for athletes. Whether sleep duration is related to their mental health is unclear. Thus, this study aimed to examine the association between nighttime sleep duration, daytime napping duration, and mental health among collegiate student athletees. This cross-sectional study included 700 college athletes. Sleep and daytime napping durations were assessed using a self-reported questionnaire. The Zung Self-rating Depression Scale and Generalized Anxiety Disorder-7 assessed mental health. A multivariate logistic regression analysis was conducted to examine the adjusted association between sleep duration and mental health. In this study, the odds ratios for depression and anxiety symptoms were significantly higher for short sleep duration (<7 h). Additionally, a significant positive association was found between daytime napping duration and the prevalence of depression. This study indicates that short nighttime sleep and long daytime napping duration may be risk factors for collegiate student athletes’ mental health, having important implications for educators and coaches.
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Li, P., L. Gao, A. Gaba, L. Yu, A. S. Buchman, D. A. Bennett, K. Hu, and Y. Leng. "1135 Longer And More Frequent Naps Predict Incident Alzheimer’s Dementia In Community-based Older Adults." Sleep 43, Supplement_1 (April 2020): A432. http://dx.doi.org/10.1093/sleep/zsaa056.1129.
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Abstract Introduction Excessive napping duration has been associated with cognitive decline. The effect of napping frequency is less understood, and little is known about the development of Alzheimer’s dementia associated with napping. We tested whether longer or more frequent naps in the elderly are linked to the development of incident Alzheimer’s dementia. Methods We studied 1,180 older adults (age: 81.0±7.3 [SD]) in the Rush Memory and Aging Project who have been followed for up to 14 years. Motor activities of up to 10 days were recorded at baseline to assess napping characteristics objectively. We defined daytime napping episodes as motor activity segments between 10AM and 7PM with continuous zero-activity for ≥10min but <1h (to avoid off-wrist periods). Segments that were <5min apart were merged. Alzheimer’s dementia diagnosis was determined using the criteria of the National Institute of Neurological and Communicative Disorders and Strone and the Alzheimer’s Disease and Related Disorders Association. Cox proportional hazards models were performed to examine the associations of daily napping duration and frequency with incident AD. Results Of 1,180 non-demented participants at baseline (including 264 with mild cognitive impairment), 277 developed Alzheimer’s dementia within 5.74±3.36 years. On average, participants napped for 38.3±1.0 (SE) min and1.56±0.04 (SE) times per day at baseline. After adjustment for age, sex, and education, every 30-min increase in daily napping duration was associated with a 20% increase in the risk of incident AD (95% confidence interval [CI]: 9%-31%; p=0.0002). One more nap per day was associated with a 19% increase in the risk of AD (95% CI: 8%-30%; p=0.0003). These associations remained after further adjustment for total sleep time. Conclusion Longer and more frequent daytime naps predict a higher risk of incident Alzheimer’s dementia. Future studies are needed to examine specific underlying mechanisms. Support This work was supported by NIH grants RF1AG064312, RF1AG059867, R01AG017917, and R01AG56352.
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Lin, Jun-Fen, Fu-Dong Li, Xiao-Geng Chen, Fan He, Yu-Jia Zhai, Xiao-Qing Pan, Xin-Yi Wang, Tao Zhang, and Min Yu. "Association of postlunch napping duration and night-time sleep duration with cognitive impairment in Chinese elderly: a cross-sectional study." BMJ Open 8, no. 12 (December 2018): e023188. http://dx.doi.org/10.1136/bmjopen-2018-023188.
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ObjectiveTo analyse the independent and combined associations of postlunch napping duration and night-time sleep duration with risk of cognitive impairment among Chinese elderly.DesignA cross-sectional study.SettingWe analysed the data from Zhejiang Ageing and Health Cohort, a population-based survey of seven counties located in Zhejiang province in eastern China.Participants10 740 participants aged 60 years or older were included in final analysis.Primary and secondary outcome measuresCognitive impairment was assessed through Mini-Mental State Examination. Data on sleep-related characteristics was collected in the behavioural habits section within the questionnaire.ResultsRelative to participants with 1–30 min of postlunch napping, those who did not nap and who napped longer had significantly higher risks for cognitive impairment. OR of cognitive impairment were 1.41 (95% CI 1.14 to 1.75) for participants with longer night-time sleep duration (≥9 hours), compared with those sleeping 7–8.9 hours. In addition, combined effects were further identified. Participants with both longer night-time sleep duration (≥9 hours) and longer postlunch napping duration (>60 min) (OR=2.01, 95% CI 1.30 to 3.13), as well as those with both longer night-time sleep duration (≥9 hours) and appropriate postlunch napping duration (1–30 min) (OR=2.01, 95% CI 1.20 to 3.38), showed significantly higher risk of cognitive impairment than those with sleeping 7–8 hours and napping 1–30 min. Meanwhile, a 34% increase in odds of cognitive impairment was observed in participants with both shorter night-time sleep duration (5–6.9 hours) and no napping.ConclusionBoth postlunch napping duration and night-time sleep duration were independently and jointly associated with cognitive impairment, which needs verification in prospective studies.
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Dashti, H. S., I. Daghlas, J. Lane, M. Udler, M. Garaulet, and R. Saxena. "0016 Genetic Basis of Daytime Napping and Consequence on Cardiometabolic Health." Sleep 43, Supplement_1 (April 2020): A7. http://dx.doi.org/10.1093/sleep/zsaa056.015.
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Abstract Introduction Although daytime napping is a common, evolutionarily conserved behavior, its genetic basis is unknown. Elucidating its genetic basis may clarify relevant underlying biological pathways and determine causal links with cardiometabolic health. Methods We performed a genome-wide association study of self-reported daytime napping using linear regression in adults of European ancestry in the UK Biobank (n=452,633) and assessed robustness of signals with accelerometer-derived daytime inactivity duration (n=84,671). Next, we conducted a phenome-wide association study in a hospital-based clinical biobank (n=30,683) using napping genome-wide polygenic score (GPS), and Mendelian randomization (MR) with cardiometabolic traits. To deconstruct the napping genetic variants, we applied a novel “soft clustering” Bayesian nonnegative matrix factorization method and generated partitioned cluster-specific polygenic risk scores (PRS). Results We identified 121 distinct genome-wide significant loci for daytime napping, with lead signals at or near genes KSR2 (kinase-suppressor of ras 2), HCRTR1/HCRTR2 (hypocretin-receptor 1/2), SKOR2 (SKI family transcriptional-corepressor 2), and MAPT (microtubule-associated protein tau), among others. The loci associated with accelerometer-derived daytime inactivity duration. Gene enrichment analyses pointed to pathways involved in neurogenesis and others including nervous system development and opioid signaling. Genetic overlaps were evident in a clinical biobank where highest, compared to lowest, decile of napping GPS associated with 30%, 40%, and 50% higher odds for essential hypertension, obesity, and nonalcoholic liver disease, respectively (P<0.0001). In MR, potential causal links were identified with higher diastolic blood pressure (2.67 mmHg per napping category-increase, 95% CI 1.62–3.23, P=6.80e-07), systolic blood pressure (3.65mmHg, 1.86–5.44, P=6.40e-05), and waist circumference (0.28 SD-units, 0.11–0.45, P=0.0015). The clustering of variants identified 3 robust clusters (cluster-1: “higher sleep propensity”; cluster-2: “more fragmented/inefficient night sleep”; cluster-3: “early sleep timing”). Only clusters 2 and 3 PRSs were associated with worse cardiometabolic health outcomes, including higher BMI, waist circumference, CRP, and triglycerides (all P<0.05). Conclusion These findings expand our understanding of the genetic architecture of napping implicating multiple biological pathways, indicating possible genetic overlap and causal links to cardiometabolic traits, and suggesting distinct nap-promoting mechanisms with differential associations with health outcomes. Support This work is supported by grants NIH-F32DK102323, NIH-4T32HL007901, NIH-R01DK107859, NIH-R35HL135818, and MGH Research Scholar Fund.
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Frisoni, Giovanni B., Diego De Leo, Renzo Rozzini, and Marco Trabucchi. "Napping in the Elderly and Its Association with Night Sleep and Psychological Status." International Psychogeriatrics 8, no. 3 (September 1996): 477–87. http://dx.doi.org/10.1017/s1041610296002839.
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The aim of this study was to assess the prevalence of daytime napping and its psychic, night sleep, and functional correlates in Italian community-dwelling elderly persons. A cross-sectional survey of community-dwelling elderly subjects was conducted with a multidimensional quality-of-life questionnaire administered by interviewers at the subjects' own homes. Participants were 223 community-dwelling elderly subjects, aged 75 and over, with a Mini-Mental State Examination score of 18 or more, living in Brescia, Italy. Statistical analysis was performed with logistic regression for estimates of the bivariate and multivariate associations of continuous independent variables with a dichotomous dependent variable (napping). Beta coefficients with 95% and 99% confidence interval (CI), and p values at Wald statistics, were computed. Napping once or more per week was reported by 23.8% of the sample. Napping was found to be independently and positively associated with obsessive-compulsive symptoms (β = .86, 95% CI 0.25 to 1.47, p = .005) and with the night sleep symptom of not feeling rested in the morning (β = .17, 95% CI 0.00 to 0.35, p = .048). No association was found with instrumental activities of daily living (β = .18, 95% CI -0.04 to 0.04, p = .113). It is concluded that napping in the elderly is partly related to personality characteristics and partly a consequence of night sleep disturbance.
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Fauzan hidayatullah, Zhahirah Indrawati Zainuddin, and Kadek Aryana Dwi Putra. "Napping Areas and Nap Pods in Academic Library." Record and Library Journal 8, no. 2 (December 14, 2022): 228–38. http://dx.doi.org/10.20473/rlj.v8-i2.2022.228-238.
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Background of the study: The library is a place for users to find information, as well as a place to improve the intellectual quality of users. Along with changes in learning styles and obtaining changing user information, libraries are required to follow the development and learning styles of users by providing supporting facilities and infrastructure, one of which is napping areas or nap pods. Purpose: The purpose of this study is to determine the importance of implementing a napping area in the library. Method: This study uses qualitative research with a literature study approach that emphasizes the use of reference sources to obtain data from literature. Findings: The results of the study indicate that the provision of a napping area as a temporary resting place for users needs to be facilitated by libraries in universities considering that developed countries have also implemented these facilities. This is done so that users feel comfortable and refreshed to restart their activities in doing academic tasks and improve quality in the world of education. Conclusion: The importance of implementing a napping area in the library can also provide a unique experience and increase the number of visitors who are decreasing day by day, on the other hand it also increases learning commons as an interesting renewal in the library with the existence of a napping area in the library.
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Fang, Shu, and Junmin Zhou. "Association of Daytime Napping and Diagnosed Diabetes in Middle-Aged Premenopausal, Middle-Aged Postmenopausal, and Older Postmenopausal Chinese Women." American Journal of Health Promotion 33, no. 8 (June 5, 2019): 1107–14. http://dx.doi.org/10.1177/0890117119854918.
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Purpose: To examine associations of daytime napping and diagnosed diabetes in middle-aged premenopausal, middle-aged postmenopausal, and older postmenopausal Chinese women. Design: Quantitative, cross-sectional. Setting: 2015 cross-sectional data from China Health and Retirement Longitudinal Study. Participants were recruited from 150 counties/districts and 450 villages/resident committees. Participants: Six thousand nine hundred and forty women aged 45 years and older (mean age = 61 years) stratified by age and menopausal status. Measures: The outcome was self-reported diagnosed diabetes. The exposure was self-reported daytime napping (0, >0-≤60, or >60 min/d). Participants were stratified to middle-aged premenopausal, middle-aged postmenopausal, and older postmenopausal women according to their age (≤60 or >60 years) and menopausal status. Analysis: One-way analysis of variance and χ2 tests were conducted to explore differences on characteristics of middle-aged premenopausal, middle-aged postmenopausal, and older postmenopausal women. Multiple logistic regressions were used to estimate adjusted odds ratios (ORs) for diagnosed diabetes according to daytime napping in the total sample, middle-aged premenopausal, middle-aged postmenopausal, and older postmenopausal Chinese women. Results: Participants’ mean self-reported daytime napping duration was 34 minutes. Women who napped more than 60 minutes were more likely to report diagnosed diabetes (OR = 1.39, 95% confidence interval (CI), 1.09-1.76) comparing to those who did not nap, after adjusting for potential confounders. No statistical significance of interaction term between daytime napping and age/menopausal status was detected ( P = .602 and P = .558) among total women. The stratified analysis revealed the significant association among middle-aged postmenopausal women napping more than 60 minutes (OR = 1.81, 95% CI, 1.18-2.77). The association, however, was found to be insignificant in middle-aged premenopausal women and older postmenopausal women. Conclusions: Long daytime nap (>60 min/d) was associated with diagnosed diabetes in middle-aged postmenopausal women in China.
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Bawadi, Hiba, Asma Al Sada, Noof Al Mansoori, Sharifa Al Mannai, Aya Hamdan, Zumin Shi, and Abdelhamid Kerkadi. "Sleeping Duration, Napping and Snoring in Association with Diabetes Control among Patients with Diabetes in Qatar." International Journal of Environmental Research and Public Health 18, no. 8 (April 12, 2021): 4017. http://dx.doi.org/10.3390/ijerph18084017.
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Background: Poor glycemic control is associated with chronic life-threatening complications. Several studies have revealed that sleep status is associated with glycemic control. Aim: to examine the association between sleep duration, quality and glycemic control among adults with diabetes. Methods: Data on 2500 participants aged 18–60 years were collected from the Qatar Biobank (QBB). Sleep duration and quality were assessed by a self-completed health and lifestyle questionnaire, and glycemic control was assessed using HbA1c. Logistic regression was used to assess the association between sleep duration, napping, snoring and poor glycemic control. Results: After adjusting for age and gender, sleep duration was not associated with poor glycemic control. Lack of association persisted after controlling for smoking, physical activity, education, BMI, fruit and vegetable intake, insulin and medication use. However, sleeping for long hours at night (≥8 h) had a trend in increasing the risk of poor glycemic control (OR = 1.28; 95% CI: 0.94–1.74). Napping was positively associated with poor glycemic control. After adjusting for age and gender, patients who reported “sometimes, frequently, or always” napping had more than 30% increased risk of poor control as compared to patients who reported “never/rarely” napping. Snoring was not associated with poor glycemic control among the study sample when adjusted for age and gender (p = 0.61). Other factors were found to be associated with a better glycemic control such as female, high educational and high physical activity level. Conclusions: our results suggest that napping may be an independent risk factor for a poor glycemic control in diabetes; further investigations are required.
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Atassi, Sammar. "Is Napping a Good Thing?" Marshall Journal of Medicine 5, no. 4 (October 31, 2019): 6. http://dx.doi.org/10.33470/2379-9536.1249.
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Lynn, Jessica. "Napping on the Night Shift." AJN, American Journal of Nursing 116, no. 8 (August 2016): 13. http://dx.doi.org/10.1097/01.naj.0000490150.21500.c1.
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W., Gail. "Napping on the Night Shift." AJN, American Journal of Nursing 116, no. 8 (August 2016): 13. http://dx.doi.org/10.1097/01.naj.0000490151.98629.95.
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