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The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US–Mexico border. Data were collected in 2016, from N = 100 adults of Mexican descent from the city of Nogales, AZ, at the US–Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II). The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep (p =.011), and 1.65 greater PSQI score (p =.031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p =.030) and severe difficulty staying asleep (OR = 11.2, p =.050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P =.020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep. Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation. [ABSTRACT FROM AUTHOR]

A workshop was held at the National Institute for Diabetes and Digestive and Kidney Diseases with a focus on the impact of sleep and circadian disruption on energy balance and diabetes. The workshop identified a number of key principles for research in this area and a number of specific opportunities. Studies in this area would be facilitated by active collaboration between investigators in sleep/circadian research and investigators in metabolism/diabetes. There is a need to translate the elegant findings from basic research into improving the metabolic health of the American public. There is also a need for investigators studying the impact of sleep/circadian disruption in humans to move beyond measurements of insulin and glucose and conduct more in-depth phenotyping. There is also a need for the assessments of sleep and circadian rhythms as well as assessments for sleep-disordered breathing to be incorporated into all ongoing cohort studies related to diabetes risk. Studies in humans need to complement the elegant short-term laboratory-based human studies of simulated short sleep and shift work etc. with studies in subjects in the general population with these disorders. It is conceivable that chronic adaptations occur, and if so, the mechanisms by which they occur needs to be identified and understood. Particular areas of opportunity that are ready for translation are studies to address whether CPAP treatment of patients with pre-diabetes and obstructive sleep apnea (OSA) prevents or delays the onset of diabetes and whether temporal restricted feeding has the same impact on obesity rates in humans as it does in mice.

Purpose: To supplement the literature on substance misuse by collegiate athletes by expanding the number of substances typically examined and include mental health symptom covariates related to both sleep and substance use. Methods: Substance use was assessed with the following item: "Within the last 30 days, on how many days did you use?" with a list of 17 substances. Multinomial logistic regression analysis examined each substance variable as outcome and athlete status as predictor. Results: Findings of the fully adjusted model indicated that compared to non-athletes, collegiate athletes were most likely to be past users of alcohol, occasional users of smokeless tobacco, alcohol, and steroids, and frequent users of smokeless tobacco. Conclusions: The significant differences shown between collegiate athletes and non-athletes may reflect differences in intentions to improve performance, pain management, and stress management. Future studies should seek to elucidate the under-reported and self-reported phenomena among this population. [Athletic Training & Sports Health Care. 2021;13(6):e443–e452.] [ABSTRACT FROM AUTHOR]

This study aimed to determine which dietary factors were associated with habitual sleep duration in pre/peri- and post-menopausal women. Data from the 2007–2008 National Health and Nutrition Examination Survey were used (N = 1,783). Habitual sleep duration was categorized as very short (<5 h), short (5–6 h), normal (7–8 h), and long (≥9 h). Diet assessment was performed following validated procedures. In pre/peri-menopausal women (n = 1,116), controlling for the confounders, fewer number of foods, less intake of protein, carbohydrates, thiamin (B1), food folate, total choline, phosphorus, sodium, potassium, and selenium were significantly associated with a higher risk for very short sleep. Being on a low-salt diet was related to a lower risk for long sleep. In comparison, in post-menopausal women (n = 667), controlling for the confounders, more sugar intake, less intake of phosphorus and zinc were related to a higher risk for short sleep. There were novel associations between diet and sleep duration, particularly among pre/peri-menopausal women. Future research is needed to confirm those causal relationships. [ABSTRACT FROM AUTHOR]

Examine associations between a range of sleep problems and academic performance in a national sample of collegiate athletes. Participants: Data were obtained from the National College Health Assessment of US college/university students from 2011–2014 (N = 8,312 collegiate athletes). Methods: Univariate comparisons for all sleep variables and demographics were stratified across GPA, using one-way ANOVA for continuous variables and chi-square for categorical variables. Multinomial logistic regression models, with GPA as outcome (reference = A) and sleep variable as predictor, were examined and adjusted for age, sex, and survey year. Ordinal regression examined a 1-level change in GPA associated with each sleep variable, adjusted for covariates. Results: Sleep difficulty was associated with increased likelihood of B/C averages. Initial-insomnia was associated with increased likelihood of B/C, and D/F averages. Tiredness was associated with increased likelihood of B/C, and D/F averages. Conclusions: Sleep problems are highly prevalent and associated with poorer academic performance in collegiate athletes. [ABSTRACT FROM AUTHOR]

Although the link between sleep, health, and performance has been well documented, research on this link in collegiate student athletes is still in its infancy. A large body of evidence indicates that collegiate student athletes are not obtaining enough sleep, but less is known about their sleep quality, patterns, and the impact on health and performance. Consequently, short sleep negatively affects physical and mental health, as well as several domains of performance (ie, aerobic, anaerobic, sport-specific, cognitive). The majority of studies examining the links between short sleep, health, and performance have been conducted with healthy adults or noncollegiate athlete samples; however, collegiate student athletes have demands unlike those of their nonathlete or noncollegiate athlete counterparts. Poor sleep health and sleep disorders are of increasing concern among the college athlete population and have recently been recognized by national and international sports governing bodies. The purpose of this review is to summarize the available literature on sleep and its impact on health and performance among athletes, specifically addressing gaps where little to no data is available on collegiate student athletes. Consideration is also given to evidence-based sleep interventions that have been utilized with athletes, as well as recommendations for future research and intervention development. [ABSTRACT FROM AUTHOR]

Short sleep duration has been widely linked to increased cardiovascular morbidity and mortality. We performed a post hoc analysis of 24-hour ambulatory blood pressure monitoring (ABPM) in the Lifestyle Modification in Blood Pressure Lowering Study (LIMBS) and Penn Icelandic Sleep Apnea (PISA) Study. The 24-hour mean systolic blood pressure (BP) was 12.7 mm Hg higher in LIMBS (P < 0.001; n = 66) and 4.7 mm Hg higher in PISA (P = 0.005; n = 153) among participants with shorter sleep duration (less than 7 hours) compared to those with longer sleep duration (at least 7 hours). In multivariable adjusted models, shorter sleep duration was strongly associated with higher systolic BP on 24-hour ABPM, independent of nocturnal BP and in-office BP. There was no effect modification by obstructive sleep apnea. Adults with shorter sleep duration may benefit from screening with 24-hour ABPM to promote earlier detection of hypertension and potentially mitigate their increased risk for future cardiovascular disease. [ABSTRACT FROM AUTHOR]

The author assesses the impact of sleep disturbances on work performance or productivity.

Intimate partner violence (IPV) is a worldwide health concern and an important risk factor for poor mental/physical health in both women and men. Little is known about whether IPV leads to sleep disturbance. However, sleep problems may be common in the context of IPV and may mediate relationships with mental/physical health. Data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS) were used (N = 34,975). IPV was assessed in female and male participants for any history of being threatened by, physically hurt by, or forced to have sex with an intimate partner (THREAT, HURT, and SEX, respectively), and, further, as being forced to have sex with or physically injured by an intimate partner within the past year (SEXyr and HURTyr, respectively). These survey items were coded yes/no. Sleep disturbance was assessed as difficulty falling asleep, staying asleep, or sleeping too much at least 6 of the last 14 days. Logistic regression analyses, adjusted for age, sex, race, income, education, and physical/mental health, assessed whether IPV predicted sleep disturbance. Sobel-Goodman tests assessed whether relationships between IPV and physical/mental health were partially mediated by sleep disturbance. All IPV variables were associated with sleep disturbance, even after adjusting for the effects of age, sex, race/ethnicity, income, education, employment, marital status, physical health and mental health. THREAT was associated with sleep disturbance (odds ratio [OR] = 2.798, p < .0001), as was HURT (OR = 2.683, p < .0001), SEX (OR = 3.237, p < .0001), SEXyr (OR = 7.741, p < .0001), and HURTyr (OR = 7.497, p < .0001). In mediation analyses, all IPV variables were associated with mental health (p < .0001), and all were associated with physical health (p < .007) except SEXyr. Sleep disturbance partially mediated all relationships (Sobel p < .0005 for all tests). Mediation was around 30%, ranging from 18% (HURTyr and mental health) to 41% (HURT and physical health). IPV was strongly associated with current sleep disturbance above the effect of demographics and overall mental/physical health, even if the IPV happened in the past. Furthermore, sleep disturbance partially mediates the relationship between IPV and mental/physical health. Sleep interventions may potentially mitigate negative effects of IPV. [ABSTRACT FROM AUTHOR]

Background: Nocturnal leg cramps (NLC) are common and poorly understood. Objective: To determine the prevalence of NLC and associations with cardiometabolic, sleep, and behavioral risk factors in the US population. Design: Cross-sectional epidemiology. Participants: National Health and Nutrition Examination Survey, 2005–2006 and 2007–2008 waves. Main outcome(s) and measure(s): NLC were assessed with, “In the past month, how often did you have leg cramps while trying to sleep?” Responses were categorized as None, Mild, or Moderate-Severe. Demographics, medical history, sleep disturbances, and cardiometabolic risk factors were evaluated using the 2005–2006 dataset. Variables that demonstrated significant relationships to NLC after adjusting for age, sex, education, and BMI were assessed in the 2007–2008 dataset. Variables that were still significant were entered into a forward stepwise regression model combining both waves, to determine which variables best explained the variance in NLC. Results: Prevalence was 24–25% reporting mild and 6% reporting moderate-severe NLC. NLC increased with age, lower education, unemployment, shorter sleep duration, all assessed sleep symptoms (nocturnal "leg jerks", snoring, snorting/gasping, difficulty falling asleep, difficulty maintaining sleep, non-restorative sleep, sleepiness, use of sleep medications), higher BMI, smoking, medical history (hypertension, heart failure, angina, stroke, arthritis, respiratory disease, and cancer), depression symptoms, and biomarkers (CRP, HbA1c, calcium, cadmium, red blood cells). Stepwise analysis showed that moderate-severe nocturnal leg cramps were associated with (in decreasing order of partial R2): leg jerks, poor overall health, arthritis, difficulty falling asleep, age, nonrestorative sleep, red blood cell count, lower education, angina, and difficulty maintaining sleep. Conclusions and relevance: Based on this first large, representative study, NLC occurring >5x per month are reported by 6% of the adult US population. Sleep disturbance symptoms and health conditions are associated with higher frequency of NLC, suggesting that NLC is a marker, and possibly contributor, to poor sleep and general health. [ABSTRACT FROM AUTHOR]

Although it is widely acknowledged that there are not enough clinicians trained in either Behavioral Sleep Medicine (BSM) in general or in Cognitive Behavioral Therapy for Insomnia (CBT-I) in specific, what is unclear is whether this problem is more acute in some regions relative to others. Accordingly, a geographic approach was taken to assess this issue. Using national directories as well as e-mail listservs (Behavioral Sleep Medicine group and Behavioral Treatment for Insomnia Roster), the present study evaluated geographic patterning of CBSM and BSM providers by city, state, and country. Overall, 88% of 752 BSM providers worldwide live in the United States (n= 659). Of these, 58% reside in 12 states with ≥ 20 providers (CA, NY, PA, IL, MA, TX, FL, OH, MI, MN, WA, and CO), and 19% reside in just 2 states (NY and CA). There were 4 states with no BSM providers (NH, HI, SD, and WY). Of the 167 U.S. cities with a population of > 150,000, 105 cities have no BSM providers. These results clearly suggest that a targeted effort is needed to train individuals in both the unserved and underserved areas. [ABSTRACT FROM PUBLISHER]

Digital media use is widespread in University students, and use of digital media near bedtime has a broadly negative effect on sleep outcomes. Adequate and good quality sleep is important for physical and mental health, but few studies have rigorously measured both sleep and digital media use. In this study, we investigated whether self-reported sleep patterns were associated with digital media use in a first-year University student (N = 254, 48% male) population. Students tracked their sleep through daily online diaries and provided digital media use data in 15-min blocks for 2 h prior to bedtime on nine occasions. A longer duration of digital media use was associated with reduced total sleep time and later bedtime, while greater diversity of digital media use was associated with increased total sleep time and earlier bedtime. Analysis of activities in the last hour before bedtime indicated that activity type plays a role in digital media's effect on sleep, with computer work, surfing the Internet, and listening to music showing the strongest relationship to multiple sleep variables. These findings have implications for physical and mental health of University students and can inform design of devices to minimize negative effects of digital media on sleep. [ABSTRACT FROM AUTHOR]

Objective: To examine the relationships between employees' trouble sleeping and absenteeism, work performance, and health care expenditures over a 2-year period. Methods: Utilizing the Kansas State employee wellness program (EWP) data set from 2008 to 2009, multinomial logistic regression analyses were conducted with trouble sleeping as the predictor and absenteeism, work performance, and health care costs as the outcomes. Results: EWP participants (N= 11,698 in 2008; 5636 followed up in 2009) who had higher levels of sleep disturbance were more likely to be absent from work (all P < 0.0005), have lower work performance ratings (all P <0.0005), and have higher health care costs (P< 0.0005). Longitudinally, more trouble sleeping was significantly related to negative changes in all outcomes. Conclusions: Employees' trouble sleeping, even at a subclinical level, negatively impacts on work attendance, work performance, and health care costs. [ABSTRACT FROM AUTHOR]

There is increasing awareness of the role of sleep disturbance as an important factor in health and disease. Although sub-clinical sleep disturbances (insufficient sleep duration or inadequate sleep quality) may be difficult to assess with conceptual and/or methodological clarity, this review attempts to summarize and synthesize these findings. First, the concept of sleep disturbance in a public health context is introduced, to provide context and rationale. Second, operational definitions of 'cardiometabolic disease' and 'sleep disturbance' are offered, to address many unclear operationalizations. Third, the extant literature is summarized regarding short or long sleep duration and/or insufficient sleep, insomnia and insomnia symptoms, general (non-specific sleep disturbances), circadian rhythm abnormalities that result in sleep disturbances, and, briefly, sleep-disordered breathing. Fourth, the review highlights the social/behavioural context of sleep, including discussions of sleep and race/ethnicity, socio-economic position, and other social/environmental factors, in order to place these findings in a social-environmental context relevant to public health. Fifth, the review highlights the issue of sleep as a domain of health behaviour and addresses issues regarding development of healthy sleep interventions. Finally, a research agenda of future directions is proposed. [ABSTRACT FROM AUTHOR]

Abstract: Objective: The aim of this investigation was to assess the relationships between suicidal ideation and insomnia symptoms in Veterans misusing alcohol. Method: Data were extracted in this retrospective chart review of Veterans referred from primary care for a behavioral health evaluation (N=161) based on evidence of heavy drinking, drug use or another behavioral problem. Suicidal ideation (SI) was assessed using the Paykel questionnaire. Insomnia symptoms were assessed with standard diary questions in an interview format and pertained to sleep latency (SL), wake after sleep onset time (WASO), sleep quality (SQ), and habitual sleep duration (HSD). The relations between suicidal ideation and insomnia symptoms were assessed using ordinal regression analyses adjusted for socio-demographic, psychiatric and addiction-related variables. Results: Suicidal ideation was reported in 62 (39%) of the Veterans interviewed. In a multivariable model, only inadequate SQ was associated with suicidal ideation. Short sleepers were more likely to endorse suicidal ideation and have attempted suicide in the past year. In addition, older age, inadequate financial status, and the presence of a psychiatric disorder were also significantly associated with suicidal ideation in most of the adjusted models. Conclusion: Given their association with suicidal ideation, insomnia symptoms in Veterans misusing alcohol should prompt an assessment of underlying psychiatric and social factors. [Copyright &y& Elsevier]

Highlights: [•] Our study examines sleep duration relative to self-reported and objective cardiometabolic risk factors. [•] Very short sleep (<5h) was associated with self-reported hypertension, hyperlipidemia and diabetes mellitus (DM). [•] Very short sleep (<5h) was associated with objectively determined hyperlipidemia and obesity. [•] Short sleep (5–6h) was associated with self-reported hypertension and obesity, and objective obesity. [•] Race/ethnicity interactions are significant for self-reported and objective hypertension, hyperlipidemia, DM, and obesity. [Copyright &y& Elsevier]

Objective Patients with alcohol dependence presenting for treatment may have multiple associated co-morbid conditions and limited social supports, which complicate treatment. Each of these factors has been independently associated with complaints of insomnia. In this preliminary study, we investigated the relations between insomnia complaints and socio-demographic factors and psychiatric co-morbidity in treatment-seeking patients with alcohol dependence. Method We conducted a retrospective chart review on 84 consecutive patients referred to the Behavioral Health Laboratory of the Philadelphia Veterans Affairs Medical Center for evaluation of psychiatric and substance use disorders. Patients met DSM-IV diagnostic criteria for alcohol dependence and completed a series of self-assessments of sleep. Univariate and multivariable analyses were used to examine the relations amongst the variables of interest. Results In multivariable models, Sleep Latency was significantly greater in individuals without partners (p = .01), those with psychiatric disorders (p = .03) and smokers (p = .01), with a non-significant trend for those with past-year suicidal ideation. No significant predictor of Wake Time After Sleep Onset was seen. Poor Sleep Quality was predicted by younger age (OR = .93 [.88, .98], p = .004) and the presence of a psychiatric disorder (OR = 20.80 [4, 102], p = .0002), with a non-significant trend for suicidal ideation. Conclusions Insomnia symptoms in treatment-seeking alcohol dependent patients should prompt consideration of the individuals' psychiatric and psychosocial features. (Am J Addict 2013; 22:266-270) [ABSTRACT FROM AUTHOR]

Abstract: Short sleep duration is associated with weight gain and obesity, diabetes, cardiovascular disease, psychiatric illness, and performance deficits. Likewise, long sleep duration is also associated with poor physical and mental health. The role of a healthy diet in habitual sleep duration represents a largely unexplored pathway linking sleep and health. This study evaluated associations between habitual sleep parameters and dietary/nutritional variables obtained via the National Health and Nutrition Examination Survey (NHANES), 2007–2008. We hypothesized that habitual very short (<5h) short (5–6h) and long (9+h) sleep durations are associated with intake of a number of dietary nutrient variables. Overall, energy intake varied across very short (2036kcal), short (2201kcal), and long (1926kcal) sleep duration, relative to normal (2151kcal) sleep duration (p =0.001). Normal sleep duration was associated with the greatest food variety (17.8), compared to very short (14.0), short (16.5) and long (16.3) sleep duration (p <0.001). Associations between sleep duration were found across nutrient categories, with significant associations between habitual sleep duration and proteins, carbohydrates, vitamins and minerals. In stepwise analyses, significant contributors of unique variance included theobromine (long sleep RR=0.910, p <0.05), vitamin C (short sleep RR=0.890, p <0.05), tap water (short sleep RR=0.952, p <0.001; very short (<5h) sleep RR=0.941, p <0.05), lutein+zeaxanthin (short sleep RR=1.123, p <0.05), dodecanoic acid (long sleep RR=0.812, p <0.05), choline (long sleep RR=0.450, p =0.001), lycopene (very short (<5h) sleep RR=0.950, p <0.05), total carbohydrate (very short (<5h) sleep RR=0.494, p <0.05; long sleep RR=0.509, p <0.05), selenium (short sleep RR=0.670, p <0.01) and alcohol (long sleep RR=1.172, p <0.01). Overall, many nutrient variables were associated with short and/or long sleep duration, which may be explained by differences in food variety. Future studies should assess whether these associations are due to appetite dysregulation, due to short/long sleep and/or whether these nutrients have physiologic effects on sleep regulation. In addition, these data may help us better understand the complex relationship between diet and sleep and the potential role of diet in the relationship between sleep and obesity and other cardiometabolic risks. [Copyright &y& Elsevier]

Existing research has demonstrated associations between sleep duration and obesity, diabetes, cardiovascular disease and mortality. Sleep disorders research has shown that sleep apnoea, insomnia and other sleep disorders confer risk for cardiometabolic disease, particularly in the presence of reduced sleep duration. The aim of the present study was to examine the associations between general sleep disturbance, operationalized as 'difficulty falling asleep, staying asleep, or sleeping too much' as measured in a large, nationally representative sample, and self-reported history of myocardial infarction, stroke, coronary artery disease, diabetes and obesity. Data from the Behavioral Risk Factor Surveillance System were analysed. Complete data were available for 138 201 individuals. A hierarchical logistic regression analysis examined associations before and after adjustment for demographic, socioeconomic, medical and psychological factors. After adjusting for demographic, socioeconomic and health risk factors, sleep duration was associated with obesity [odds ratio (OR) = 1.18, P < 0.0005), diabetes (OR = 1.18, P < 0.005), myocardial infarction (OR = 1.36, P < 0.0005), stroke (OR = 1.22, P < 0.05) and coronary artery disease (OR = 1.59, P < 0.0005). In fully adjusted models that included physical health, significant relationships remained for obesity (OR = 1.14, P < 0.0005), myocardial infarction (OR = 1.23, P < 0.005) and coronary artery disease (OR = 1.43, P < 0.0005). Sleep disturbance is a significant risk factor for obesity, diabetes, myocardial infarction, stroke and coronary artery disease, and effects for obesity, myocardial infarction and coronary artery disease are the most robust after adjustment. This study demonstrates that sleep disturbance is a novel risk factor that is potentially modifiable. Future research should determine whether sleep intervention could reduce the cardiometabolic consequences of sleep disturbance. [ABSTRACT FROM AUTHOR]

Melatonin is increasingly used for the treatment of sleep disorders. Surge-sustained formulations consisting of combined immediate release and controlled release dosing may mimic the endogenous melatonin physiologic profile. However, relatively little is known about the pharmacokinetic properties of low-dose (<0.5 mg) and high-dose (>2 mg) melatonin in a combined immediate release/controlled release dose, especially in older adults who may also exhibit altered melatonin disposition. To assess this, we conducted a randomized, double-blind, placebo-controlled study of low-dose (0.4 mg) and high-dose (4.0 mg) melatonin (25% immediate release + 75% controlled release) in 27 older adults with insomnia complaints and low endogenous melatonin levels to determine whether melatonin pharmacokinetic properties differ between these two doses. The time to maximum level (1.3 hrs versus 1.5 hrs), elimination half-life (1.8 hrs versus 2.1 hrs), and apparent total clearance (379 L/hr versus 478 L/hr) did not differ significantly between the low- and high-dose arms, respectively. The maximum concentration was 405 ± 93 pg/mL for the low-dose arm and 3999 ± 700 pg/mL for the high-dose arm, both of which are substantially higher than physiologic melatonin levels for this age group. In addition, subjects in the high-dose arm maintained melatonin levels >50 pg/mL for an average of 10 hrs, which could result in elevated melatonin levels beyond the typical sleep period. Renal and liver function parameters remained stable after 6 wks of treatment. The linear pharmacokinetic behavior of melatonin observed in the elderly can form the basis for future studies exploring a wider range of dosing scenarios to establish exposure-response relationships for melatonin-mediated sleep outcomes. [ABSTRACT FROM AUTHOR]

Aim: Previous studies have demonstrated relationships between sleep and both obesity and diabetes. Additionally, exercise may improve sleep and daytime function, in addition to weight and metabolic function. The present study extends these findings by examining how general sleep-related complaints are associated with body mass index (BMI), diabetes diagnosis, and exercise in a large, nationally representative sample. Subject and methods: Participants were respondents to the Behavioral Risk Factor Surveillance System (BRFSS). Sleep complaint (SC) was measured with 'Over the last 2 weeks, how many days have you had trouble falling asleep or staying asleep or sleeping too much?' Daytime complaint (DC) was measured with 'Over the last 2 weeks, how many days have you felt tired or had little energy?' Responses were dichotomized, with ≥6 days indicating complaint. Covariates included age, race/ethnicity, income, and education. Results: Being overweight was associated with DC in women only. Obesity was significantly associated with SC and DC in women, and DC in men. Diabetes was associated with SC and DC in both genders. Any exercise in the past 30 days did not attenuate any BMI or diabetes relationships, but was independently associated with a decrease in SC and DC in both men and women. Conclusion: These results suggest that for both men and women diabetes is a significant predictor of sleep and daytime complaints, and there is a relationship between obesity and sleep and complaints for women to a greater extent than men. Finally, exercise was associated with much fewer sleep and daytime complaints in both genders. [ABSTRACT FROM AUTHOR]

Abstract: Objective: To describe which dietary nutrient variables are related to subjective and objective habitual sleep and subjective and objective napping. Methods: Participants were 459 post-menopausal women enrolled in the Women’s Health Initiative. Objective sleep was estimated using one week of actigraphy. Subjective sleep was prospectively estimated with a daily sleep diary. Dietary nutrients were calculated from food frequency questionnaires. Results: The most significant correlations were with subjective napping, including (from strongest to weakest): total fat, calories, saturated fat, monounsaturated fat, trans fat, water, proline, serine, tyrosine, phenylalanine, valine, cholesterol, leucine, glutamic acid, ash, isoleucine, histidine, sodium, tryptophan, protein, threonine, cystine, methionine, phosphorous, polyunsaturated fat, animal protein, aspartic acid, arginine, lysine, alanine, caffeine, riboflavin, gamma-tocopherol, glycine, retinol, delta-tocopherol, Vitamin D, and selenium. Actigraphic nocturnal sleep duration was negatively associated with total fat, monounsaturated fat, trans fat, saturated fat, polyunsaturated fat, calories, gamma-tocopherol, cholesterol, and alpha-tocopherol-eq. Conclusions: Actigraphic total sleep time was negatively associated with intake of fats. Subjective napping, which may be a proxy for subjective sleepiness, was significantly related to fat intake as well as intake of meat. [Copyright &y& Elsevier]

Background: Little is known about the social determinants of sleep attainment. This study examines the relationship of race/ethnicity, socio-economic status (SES) and other factors upon sleep quality. Methods: A cross-sectional survey of 9,714 randomly selected subjects was used to explore sleep quality obtained by self-report, in relation to socioeconomic factors including poverty, employment status, and education level. The primary outcome was poor sleep quality. Data were collected by the Philadelphia Health Management Corporation. Results: Significant differences were observed in the outcome for race/ethnicity (African-American and Latino versus White: unadjusted OR = 1.59, 95% CI 1.24-2.05 and OR = 1.65, 95% CI 1.37-1.98, respectively) and income (below poverty threshold, unadjusted OR = 2.84, 95%CI 2.41-3.35). In multivariable modeling, health indicators significantly influenced sleep quality most prominently in poor individuals. After adjusting for socioeconomic factors (education, employment) and health indicators, the association of income and poor sleep quality diminished, but still persisted in poor Whites while it was no longer significant in poor African-Americans (adjusted OR = 1.95, 95% CI 1.47-2.58 versus OR = 1.16, 95% CI 0.87-1.54, respectively). Post-college education (adjusted OR = 0.47, 95% CI 0.31-0.71) protected against poor sleep. Conclusions: A "sleep disparity" exists in the study population: poor sleep quality is strongly associated with poverty and race. Factors such as employment, education and health status, amongst others, significantly mediated this effect only in poor subjects, suggesting a differential vulnerability to these factors in poor relative to non-poor individuals in the context of sleep quality. Consideration of this could help optimize targeted interventions in certain groups and subsequently reduce the adverse societal effects of poor sleep. [ABSTRACT FROM AUTHOR]

Summary: While much is known about the negative health implications of insufficient sleep, relatively little is known about risks associated with excessive sleep. However, epidemiological studies have repeatedly found a mortality risk associated with reported habitual long sleep. This paper will summarize and describe the numerous studies demonstrating increased mortality risk associated with long sleep. Although these studies establish a mortality link, they do not sufficiently explain why such a relationship might occur. Possible mechanisms for this relationship will be proposed and described, including (1) sleep fragmentation, (2) fatigue, (3) immune function, (4) photoperiodic abnormalities, (5) lack of challenge, (6) depression, or (7) underlying disease process such as (a) sleep apnea, (b) heart disease, or (c) failing health. Following this, we will take a step back and carefully consider all of the historical and current literature regarding long sleep, to determine whether the scientific evidence supports these proposed mechanisms and ascertain what future research directions may clarify or test these hypotheses regarding the relationship between long sleep and mortality. [Copyright &y& Elsevier]

Background: The incidence of insomnia and depression in the elder population is significant. It is hoped that use of light treatment for this group could provide safe, economic, and effective rapid recovery. Methods: In this home-based trial we treated depressed elderly subjects with bright white (8,500 Lux) and dim red (<10 Lux) light for one hour a day at three different times (morning, mid-wake and evening). A placebo response washout was used for the first week. Wake treatment was conducted prior to the initiation of treatment, to explore antidepressant response and the interaction with light treatment. Urine and saliva samples were collected during a 24-hour period both before and after treatment and assayed for aMT6s and melatonin respectively to observe any change in circadian timing. Subjects wore a wrist monitor to record light exposure and wrist activity. Daily log sheets and weekly mood (GDS) and physical symptom (SAFTEE) scales were administered. Each subject was given a SCID interview and each completed a mood questionnaire (SIGH-SAD-SR) before and after treatment. Also, Hamilton Depression Rating (SIGH-SAD version) interviews were conducted by a researcher who was blind to the treatment condition. A control group of healthy, age-matched, volunteers was studied for one day to obtain baseline data for comparison of actigraphy and hormone levels. Results: Eighty-one volunteers, between 60 and 79 years old, completed the study. Both treatment and placebo groups experienced mood improvement. Average GDS scores improved 5 points, the Hamilton Depression Rating Scale (HDRS) 17 scores (extracted from the self-rated SIGH-SAD-SR) improved 6 points. There were no significant treatment effects or time-by-treatment interactions. No significant adverse reactions were observed in either treatment group. The assays of urine and saliva showed no significant differences between the treatment and placebo groups. The healthy control group was active earlier and slept earlier but received less light than the depressed group at baseline. Conclusion: Antidepressant response to bright light treatment in this age group was not statistically superior to placebo. Both treatment and placebo groups experienced a clinically significant overall improvement of 16%. [ABSTRACT FROM AUTHOR]

See related Article See related Article [ABSTRACT FROM AUTHOR]

The article comments on a study by S. M. Rajaratnam, L. K. Barger, S. W. Lockley and colleagues about the implications of sleep disorders on public health and public safety. The researchers examined the association between sleep disorders and the health and safety of police officers. The study revealed a high prevalence of poor sleep and sleep disorders among police officers.

Background: Disturbed sleep and a family history of alcohol dependence (AD) are risk factors for developing AD, yet the underlying relationship between them is unclear among individuals with AD. Understanding these inherited associations will help us not only identify risk for development of these comorbid disorders, but also individualize treatment at this interface. We evaluated whether a first-degree family history of AD (FH+) was a risk factor for sleep continuity disturbance in patients with AD. We also evaluated whether alcohol use or mood disturbance moderated the relationship between FH and sleep.Methods: We analyzed cross-sectional baseline data from an alcohol clinical trial in a sample of individuals with AD (N = 280). Their family history of AD among nuclear family members, sleep complaints, alcohol use (over the last 90 days), and mood disturbance were assessed using the Family History Interview for Substance and Mood Disorders, Medical Outcomes Study Sleep Scale, Time Line Follow-Back Interview, and Profile of Mood States-Short Form, respectively.Results: A FH + status (65% of subjects) was significantly associated with lower model estimated mean sleep adequacy (β = - 7.05, p = 0.02) and sleep duration (β = - 0.38, p = 0.04) scale scores. FH was not associated with sleep disturbance scale. No significant moderating effect involving alcohol use or mood disturbance was seen.Conclusion: Family history of AD is a unique risk factor for sleep complaints in AD. Non-restorative sleep and sleep duration may be noteworthy phenotypes to help probe for underlying genotypic polymorphisms in these comorbid disorders. [ABSTRACT FROM AUTHOR]