Frequent Insufficient Sleep Research Articles

0206 2021 Analysis of the Mediating Effect of Sleep on the Relationship Between Exercise and Frequent Mental Distress

Abstract Introduction Adolescents are at an increased risk of frequent mental distress, defined as experiencing poor mental health such as stress, anxiety, and depression, due to a variety of factors. In 2021 it was shown that the prevalence of frequent mental distress was higher than in previous years (NM-YRRS, 2021). According to Paruthi et. al. (2016), Adolescents require 9 to 10 hours of sleep per night. However, during the school year, the average sleep duration for adolescents is between 6.5 and 8.5 hours per night (Brand et. al., 2010). One potential solution to improve adolescent sleep is frequent moderate to vigorous exercise, which has been shown to have a positive relationship with favorable and healthy sleep patterns in adolescents. (Brand et al., 2010). Due to early school days, insufficient sleep has been found to contribute to frequent mental distress and poor academic performance in adolescents (Blackwelder, Hoskins & Huber, 2021). Aerobic exercise has been demonstrated to regulate emotions, while decreased rates of exercise have been shown to increase suicidality (Siddiqui, et. al., 2022). Thus, we hypothesize that inadequate exercise puts youth at an increased risk of frequent mental distress via the pathway of insufficient sleep. We further anticipate that boys and girls will experience this relationship at a different magnitude, with girls experiencing the effects of insufficient exercise on sleep more intensely because of gender-based differences in sleep duration requirements (Brand, et. al., 2010). Methods Using the 2021 New Mexico Youth Risk and Resiliency Survey (NM-YRRS) high school dataset, we will analyze this association using logistic regression. The NM-YRRS includes 16,000 students from across New Mexico high schools. Subgroup analyses are important considering evidence that there is a greater prevalence of frequent insufficient sleep among Native Americans (Chapman et al., 2013). The NM-YRRS oversamples Native American and rural populations in the state to ensure more representation of these populations than other surveys provide. The national CDC’s Youth Risk and Behavior Survey data across the United States will be available in January of 2023 where we will compare New Mexico’s data to National data. Results TBA Conclusion TBA Support (if any)

Circadian Type Determines Working Ability: Poorer Working Ability in Evening-Types is Mediated by Insufficient Sleep in a Large Population-Based Sample of Working-Age Adults

BackgroundCircadian phenotype has a crucial role in determining wellbeing and health prospective. Evening-types have higher risk for sleep and mental health problems, which is also reflected in work wellbeing. However, there are no population-based studies examining the association of working ability and circadian typology at different working-age-groups. Also, the role of predisposing factors, ie, sleep-related differences between circadian types, has not been studied in relation to working ability among circadian types in a population-based sample.MethodsIn this population-based sample of 13,114 working-age Finnish adults from 18 to 64 years of age, we examined the associations between circadian type, exhaustion and working ability and the roles of sleep-wake rhythm misalignment and insufficient sleep on these associations in 10-years-wide age-groups. Circadian type was assessed with the widely-used single item for self-assessed morningness/eveningness from the Horne-Östberg Morningness-Eveningness Questionnaire (MEQ).ResultsEvening-types, especially definite evening-types, were more exhausted and had poorer working ability than morning-types. Higher exhaustion among evening-types was apparent in all working ages with a peak at ages 45 to 54 years. Poorer working ability in definite evening-types as compared to definite morning-types was found only at ages 35 to 54 years. Evening-types, especially definite-evening-types, had also more social jet lag and they reported more insufficient sleep than definite morning-types. More frequent insufficient sleep associated with poorer working ability and partly mediated the association between circadian type and working ability.ConclusionCircadian phenotypes were found to differ in risk for exhaustion and in working ability, and this association was partly mediated by insufficient sleep. Our findings emphasize the importance to improve sleep especially among evening-types to ensure better work wellbeing.

Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents.

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.

Sociodemographic and behavioral correlates of insufficient sleep in Australian adults

ObjectivesInsufficient sleep is being increasingly recognized as a public health issue. There is a need to identify correlates of insufficient sleep to guide future preventative health interventions. This study aims to determine the sociodemographic and behavioral correlates of frequent perceived insufficient sleep in the Australian population. DesignPooled analyses of two cross-sectional, self-report national telephone surveys were conducted in 2015 (July–August) and 2016 (June–August). SettingAdults living in Australia. ParticipantsData from participants (age 18 years and over) of both surveys were pooled for analysis (2015 n = 1041; 2016 n = 1170), with 2211 participants being included in the current study. MeasurementsParticipants self-reported their age, gender, education and employment level, language spoken at home, urbanization, chronic disease, and height and weight to calculate BMI. Self-reported physical activity, sitting time, smoking, and consumption of fruit, vegetables, fast food, alcohol and frequency of perceived insufficient sleep were also assessed. Binary logistic regression analysis examined the relationship between insufficient sleep (≥14 days out of 30), sociodemographic and behavioral variables. ResultsThe overall prevalence of insufficient sleep was 24%. Female gender, obesity, >8 h/d sitting time, smoking, and frequent consumption of fast food were positively associated with frequent insufficient sleep (P < .05). Higher levels of physical activity and being aged 51 years or older were negatively associated with frequent insufficient sleep (P < .05). ConclusionsThe sociodemographic and behavioral characteristics associated with frequent perceived insufficient sleep can be used to guide the development of future interventions to reduce sleep insufficiency.

Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults.

BackgroundMany adults are insufficiently physically active, have prolonged sedentary behaviour and report poor sleep. These behaviours can be improved by interventions that include education, goal setting, self-monitoring, and feedback strategies. Few interventions have explicitly targeted these behaviours simultaneously or examined the relative efficacy of different self-monitoring methods.Methods/DesignThis study aims to compare the efficacy of two self-monitoring methods in an app-based multi-behaviour intervention to improve objectively measured physical activity, sedentary, and sleep behaviours, in a 9 week 2–arm randomised trial. Participants will be adults (n = 64) who report being physically inactive, sitting >8 h/day and frequent insufficient sleep (≥14 days out of last 30). The “Balanced” intervention is delivered via a smartphone ‘app’, and includes education materials (guidelines, strategies to promote change in behaviour), goal setting, self-monitoring and feedback support. Participants will be randomly allocated to either a device-entered or user-entered self-monitoring method. The device-entered group will be provided with a activity tracker to self-monitor behaviours. The user-entered group will recall and manually record behaviours. Assessments will be conducted at 0, 3, 6, and 9 weeks. Physical activity, sedentary behaviour and sleep-wake behaviours will be measured using the wrist worn Geneactiv accelerometer. Linear mixed models will be used to examine differences between groups and over time using an alpha of 0.01.DiscussionThis study will evaluate an app-based multi-behavioural intervention to improve physical activity, sedentary behaviour and sleep; and the relative efficacy of two different approaches to self-monitoring these behaviours. Outcomes will provide information to inform future interventions and self-monitoring targeting these behaviours.Trial registrationACTRN12615000182594 (Australian New Zealand Clinical Trials Registry. Registry URL: www.anzctr.org.au; registered prospectively on 25 February 2015).

Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study.

This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and a composite index of behaviors. A random sample of Australian adults drawn from an online Panel cohort in 2013 completed a cross-sectional online survey. A total of 1,317 participants, median age 57 (IQR=20) completed the survey. Bed- and wake times, variability in bed- and wake-times, dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and socio-demographics were assessed using a questionnaire. Associations were examined with generalized linear models. Having bed - times that varied by >30 min were associated with lower dietary quality, higher alcohol consumption, higher sitting time, more frequent insufficient sleep and poorer overall pattern of lifestyle behaviors. Greater variability in wake times, usual bed times and usual wake times were inconsistently associated with lifestyle behaviours. Greater bed-time variability is associated with a less healthy pattern of lifestyle behaviors. Greater consistency in sleep timing may contribute to, or be reflective of, a healthier lifestyle.

Relationships between housing and food insecurity, frequent mental distress, and insufficient sleep among adults in 12 US States, 2009.

IntroductionHousing insecurity and food insecurity may be psychological stressors associated with insufficient sleep. Frequent mental distress may mediate the relationships between these variables. The objective of this study was to examine the relationships between housing insecurity and food insecurity, frequent mental distress, and insufficient sleep.MethodsWe analyzed data from the 2009 Behavioral Risk Factor Surveillance System in 12 states. Housing insecurity and food insecurity were defined as being worried or stressed “sometimes,” “usually,” or “always” during the previous 12 months about having enough money to pay rent or mortgage or to buy nutritious meals.ResultsOf 68,111 respondents, 26.4% reported frequent insufficient sleep, 28.5% reported housing insecurity, 19.3% reported food insecurity, and 10.8% reported frequent mental distress. The prevalence of frequent insufficient sleep was significantly greater among those who reported housing insecurity (37.7% vs 21.6%) or food insecurity (41.1% vs 22.9%) than among those who did not. The prevalence of frequent mental distress was also significantly greater among those reporting housing insecurity (20.1% vs 6.8%) and food insecurity (23.5% vs 7.7%) than those who did not. The association between housing insecurity or food insecurity and frequent insufficient sleep remained significant after adjustment for other sociodemographic variables and frequent mental distress.ConclusionSleep health and mental health are embedded in the social context. Research is needed to assess whether interventions that reduce housing insecurity and food insecurity will also improve sleep health and mental health.

Frequent Insufficient Sleep and Anxiety and Depressive Disorders Among U.S. Community Dwellers in 20 States, 2010

This investigation examined the association of anxiety or depressive disorder and frequent insufficient sleep. Data were obtained from a 2010 telephone survey of a population-based sample of 113,936 adults in 20 states. Respondents were asked how often they did not get enough rest or sleep and if they had ever received a diagnosis of an anxiety or depressive disorder. Frequent insufficient sleep was defined as insufficient rest or sleep during ≥ 14 of the past 30 days. Frequent insufficient sleep was reported by 27.0% of the sample and was significantly more common (p<.05) among respondents who reported both anxiety and depressive disorders (48.6%), depressive disorders only (39.0%), or anxiety only (37.5%) than among adults who reported neither disorder (23.1%). Frequent insufficient sleep is associated with depressive and anxiety disorders, and the odds of the sleep disorder are increased when both classes of psychiatric disorders are diagnosed.

Adverse childhood experiences and frequent insufficient sleep in 5 U.S. States, 2009: a retrospective cohort study

BackgroundAlthough adverse childhood experiences (ACEs) have previously been demonstrated to be adversely associated with a variety of health outcomes in adulthood, their specific association with sleep among adults has not been examined. To better address this issue, this study examines the relationship between eight self-reported ACEs and frequent insufficient sleep among community-dwelling adults residing in 5 U.S. states in 2009.MethodsTo assess whether ACEs were associated with frequent insufficient sleep (respondent did not get sufficient rest or sleep ≥14 days in past 30 days) in adulthood, we analyzed ACE data collected in the 2009 Behavioral Risk Factor Surveillance System, a random-digit-dialed telephone survey in Arkansas, Louisiana, New Mexico, Tennessee, and Washington. ACEs included physical abuse, sexual abuse, verbal abuse, household mental illness, incarcerated household members, household substance abuse, parental separation/divorce, and witnessing domestic violence before age 18. Smoking status and frequent mental distress (FMD) (≥14 days in past 30 days when self-perceived mental health was not good) were assessed as potential mediators in multivariate logistic regression analyses of frequent insufficient sleep by ACEs adjusted for race/ethnicity, gender, education, and body mass index.ResultsOverall, 28.8% of 25,810 respondents reported frequent insufficient sleep, 18.8% were current smokers, 10.8% reported frequent mental distress, 59.5% percent reported ≥1 ACE, and 8.7% reported ≥ 5 ACEs. Each ACE was associated with frequent insufficient sleep in multivariate analyses. Odds of frequent insufficient sleep were 2.5 (95% CI, 2.1-3.1) times higher in persons with ≥5 ACEs compared to those with no ACEs. Most relationships were modestly attenuated by smoking and FMD, but remained significant.ConclusionsChildhood exposures to eight indicators of child maltreatment and household dysfunction were significantly associated with frequent insufficient sleep during adulthood in this population. ACEs could be potential indicators promoting further investigation of sleep insufficiency, along with consideration of FMD and smoking.

Excess frequent insufficient sleep in American Indians/Alaska natives.

Objective. Frequent insufficient sleep, defined as ≥14 days/past 30 days in which an adult did not get enough rest or sleep, is associated with adverse mental and physical health outcomes. Little is known about the prevalence of frequent insufficient sleep among American Indians/Alaska Natives (AI/AN). Methods. We assessed racial/ethnic differences in the prevalence of frequent insufficient sleep from the combined 2009-2010 Behavioral Risk Factor Surveillance Survey among 810,168 respondents who self-identified as non-Hispanic white (NHW, n = 671,448), non-Hispanic black (NHB, n = 67,685), Hispanic (n = 59,528), or AI/AN (n = 11,507). Results. We found significantly higher unadjusted prevalences (95% CI) of frequent insufficient sleep among AI/AN (34.2% [32.1–36.4]) compared to NHW (27.4% [27.1–27.6]). However, the age-adjusted excess prevalence of frequent insufficient sleep in AI/AN compared to NHW was decreased but remained significant with the addition of sex, education, and employment status; this latter relationship was further attenuated by the separate additions of obesity and lifestyle indicators, but was no longer significant with the addition of frequent mental distress to the model (PR = 1.05; 95% CI : 0.99–1.13). This is the first report of a high prevalence of frequent insufficient sleep among AI/AN. These results further suggest that investigation of sleep health interventions addressing frequent mental distress may benefit AI/AN populations.

Household Demographics and Perceived Insufficient Sleep Among US Adults

It has become increasingly recognized that insufficient sleep is associated with adverse health outcomes. Studies have observed that sleep duration and daytime sleepiness varies by sex and marital status. Few studies have examined the impact of the number of children on sleep. To evaluate the association of marital status and number of children with insufficient sleep and in a large national sample. We analyzed data from the 2008 Behavioral Risk Factor Surveillance System (BRFSS) survey, a population-based telephone survey of non-institutionalized US adults (N=395,407), in which respondents were asked, "During the past 30days, for about how many days have you felt you did not get enough rest or sleep?" We used sex-specific, multivariate logistic regression analyses to assess the associations of marital status (married, previously married, never married) and the number of children in the household with frequent insufficient sleep (≥14days in past 30days) after adjusting for age, race/ethnicity, and education. In this study population, 23% were never married, 60% were married, and 17% were previously married. Forty-three percent reported having children aged <18years in the household. Married men (24.3%) were less likely to report frequent insufficient sleep than never married men (28.0%) or previously married men (28.8%). Never married women (33.4%) were more likely to report frequent insufficient sleep than currently married (29.0%) or previously married women (29.0%). The likelihood of frequent insufficient sleep increased in a linear fashion with the number of children in the household for all subgroups (P<0.05) except among never married men. These findings suggest that the presence of children in the household often increases the frequency of insufficient rest or sleep among the adults with whom they reside. Thus, health care providers may wish to consider the presence of children under 18years of age a potential "risk factor" for insufficient sleep when counseling adults in the household about the importance of sleep to overall health.

Good and Bad Sleep in Childhood: A Questionnaire Survey amongst School Children in Southern Italy

Despite its clinical importance, the issue of subjective sleep quality in children remains unexplored. Here we investigate, in school-aged children, the prevalence of bad sleep perception and its relationships with sleep habits and daytime functioning, to provide hints on its possible determinants. Subjective sleep perception, sleep habits, and daytime functioning were studied through a questionnaire survey in a sample of 482 children (6–12 yrs.). Being “bad sleeper” was reported by 6.9% of the sample. Compared to the “good sleepers”, these subjects displayed shorter sleep duration on schooldays, longer sleep latencies, and a more pronounced evening preference, beyond more frequent insufficient sleep. Though no differences emerged in sleepiness, bad sleepers showed higher impairments in daytime functioning, indicated by more frequent depressed mood and impulsivity. These distinctive features might be very important to precociously detect those children who are possibly more vulnerable to sleep disturbances and whose sleep-wake rhythms evolution should be paid particular attention thereafter. “The good people sleep much better at night than the bad people. Of course, the bad people enjoy the waking hours much more” Woody Allen