Effect of socio-economic status on sleep

Neighborhood and Household Environment as Contributors to Racial Disparities in Sleep Duration among U.S. Adolescents

Objective

Racial disparities in adolescent sleep duration have been documented, but pathways driving these disparities are not well understood. This study examined whether neighborhood and household environments explained racial disparities in adolescent sleep duration.

Methods

Participants came from Waves I and II of Add Health (n=13,019). Self-reported short sleep duration was defined as less than the recommended amount for age (<9 hours for 6-12 years, <8 hours for 13-18 years, and <7 hours for 18-64 years). Neighborhood factors included neighborhood socioeconomic disadvantage, perceived safety and social cohesion. Household factors included living in a single parent household and household socioeconomic status (HSES). Structural equation modeling was used to assess mediation of the neighborhood and household environment in the association between race/ethnicity and short sleep duration.

Results

Only HSES mediated racial disparities, explaining non-Hispanic (NH) African American-NH White (11.6%), NH American Indian-NH White (9.9%), and Latinx-NH White (42.4%) differences. Unexpectedly, higher HSES was positively associated with short sleep duration.

Conclusion

Household SES may be an important pathway explaining racial disparities in adolescent sleep duration. Future studies should examine mechanisms linking household SES to sleep and identify buffers for racial/ethnic minority adolescents against the detrimental impacts that living in a higher household SES may have on sleep.

Regional Socioeconomic Deprivation in Germany and Adherence to the 24-h Movement Guidelines among Children and Adolescents

To examine the relationship between regional socioeconomic deprivation and adherence to the 24-h movement guidelines among children and adolescents, a cross-sectional study was conducted. A total of 17,433 students aged 9-17 participated in a survey in winter 2021/2022. Daily screen time (ST), moderate-to-vigorous physical activity (MVPA), and sleep behavior were outcome variables. The German Index of Socioeconomic Deprivation (GISD), a regional socioeconomic objective measure, was the exposure variable. Associations between GISD and health behaviors were examined using regression models. Models were adjusted for age, gender, school type, and individual self-reported socioeconomic status (SES). The proportions of meeting the MVPA, ST, and sleep duration guidelines were 14%, 22%, and 34%, respectively. A total of 2.3% met all guidelines. Students from the most deprived communities were half as likely to meet all three guidelines compared to students from the most affluent regions (OR = 0.49 [0.28; -0.03], p = 0.010). There was a consistent relationship between GISD and lower levels of adherence to screen time guidelines (most deprived compared to most affluent: OR = 0.49 [0.38; 0.64], p < 0.001). There was no association between GISD and adherence to sleep time guidelines. We found mixed results for the association between GISD and MVPA. Regional SES appears to be an important factor associated with screen time. Screen time should be limited through intervention programs, especially in disadvantaged areas. Parents should be made aware of their children's increased media consumption. Recommendations for screen time should be clearly communicated, as should the health disadvantages of increased media consumption in childhood and adolescence.

Dietary and Sleep Quality Association in Hemodialysis Patients

Background

Poor sleep quality is a common issue among patients with end-stage renal disease (ESRD) who undergo dialysis. Nutritional habits are associated with sleep hygiene in patients undergoing dialysis. The objective of this study was to examine the potential correlation between nutritional status and sleep quality in individuals receiving hemodialysis treatment.

Materials and Methods

This cross-sectional study included 160 hemodialysis patients. A food frequency questionnaire (FFQ) was used to measure food intake in participants. The Persian-validated version of the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Patients were classified as poor or good sleepers with a PSQI score of <5 and >5, respectively.

Results

Eighty-four percent of hemodialysis patients had bad sleep hygiene. There was a significant association between sleep quality and educational status and age (P < 0.001). Poor sleepers were older (61.65 years versus 51.12) and less educated (31.1% versus 4%). However, there was no significant difference in the intake of micro- and macronutrients between poor and good sleepers (P > 0.05).

Conclusion

The results of this study suggest that sleep quality has no significant relationship with nutrient intake in hemodialysis patients. Demographic factors, such as age and educational status, have played a more effective role than nutritional factors in patients' sleep quality.

Evening chronotype, insufficient weekday sleep, and weekday-weekend gap in sleep times: What is really to blame for a reduction in self-perceived health among university students?

The association of insufficient sleep with reduced self-perceived health was previously well established. Moreover, it was sometimes shown that the indicators of poorer health were significantly related to chronotype and weekday-weekend gaps in sleep timing and duration. It remains to be elucidated, however, whether chronotype and these gaps can contribute to the reduced health self-ratings independently from shortened sleep duration or, alternatively, their relationship with health can be simply explained by their association with insufficient sleep on weekdays. In an online survey, we tested whether the self-rated health of university students can be predicted by several individual characteristics of the sleep-wake cycles, such as chronotype, weekday and weekend sleep times, weekday-weekend gap in sleep times, sleepability and wakeability at different times of the day, etc. Responses to a question about general health and to items of several questionnaires for chronobiological assessment were collected from smartphones of 1582 university students (mean age ± standard deviation was 19.5 ± 1.7 y). The results of regression analyses suggested that lower odds of having good self-rated health were significantly associated with an earlier weekday risetime, a later weekday bedtime, and, consequently, a shorter weekday time in bed. After accounting for weekday sleep, self-rated health showed significant association with neither chronotype nor weekday-weekend differences in sleep duration and timing. Besides, the adverse health effects of reduced weekday sleep were independent from the significant adverse effects of several other individual sleep-wake characteristics including poorer nighttime sleepability and lower daytime wakeability. We concluded that university students perceive the negative health impacts of losing sleep by waking up early on weekdays irrespective of their night sleep quality and daytime level of alertness. Their chronotype and weekday-weekend difference in sleep times might not be among significant contributors to this perception. It is of practical importance to consider the reduction of weekday sleep losses among the interventions aimed at preventing sleep and health problems.

Determinants of Health Inequalities in Iran and Saudi Arabia: A Systematic Review of the Sleep Literature

Sleep health inequalities represent an increasing public health concern. Among multiple determinants affecting sleep health, there is people's socioeconomic status (SES), and no systematic review on the relationship between SES and sleep health has been previously conducted in Iran and Saudi Arabia. Following the Prisma protocol, ten articles were selected. Findings revealed that the combined number of participants was N = 37,455 participants, including 73.23% of children and adolescents (n = 27,670) and 26.77% of adults (n = 10,026). The smallest sample was N = 715 and the larger was N = 13,486. In all these studies, sleep variables were assessed using self-reported questionnaires. The studies conducted in Iran assessed the risk of obstructive sleep apnea (OSA), while those in Saudi Arabia were interested in sleep duration, nap time, bedtime, rise time and insomnia. The studies performed on adult populations in Iran and Saudi Arabia concluded that there is no significant association between SES determinants and sleep components in adult populations. One study in Iran found a significant association between parent's low SES and children and adolescent insomnia; and one study in Saudi Arabia found a significant association between the father's education and the longer sleep duration of their children. More longitudinal studies are necessary to establish a causal relationship between public health policies and sleep health inequalities. An extension of the investigation to more sleep disturbances is required to cover the entirety of sleep health inequalities in Iran and Saudi Arabia.

Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research

STUDY OBJECTIVES

This review aims to assess the association between socioeconomic status (SES) and sleep health in the general population and the mediating effects of lifestyle and mental and physical health in this relationship.

METHODS

Observational studies testing the independent association between objective or subjective SES indicators and behavioral/physiological or clinical sleep health variables in the general population were included. PubMed/MEDLINE was searched for reports published from January 1990 to December 2019. The direction of effect was used as the primary effect measure, testing the hypothesis that low SES is associated with poor sleep health outcomes. Results are presented in the form of direction effect plots and synthesized as binomial proportions.

RESULTS

Overall, 336 studies were identified. A high proportion of effects at the expected direction was noted for measures of sleep continuity (100% for sleep latency, 50-100% for awakenings, 66.7-100% for sleep efficiency), symptoms of disturbed sleep (75-94.1% for insomnia, 66.7-100% for sleep-disordered breathing, 60-100% for hypersomnia), and general sleep satisfaction (62.5-100%), while the effect on sleep duration was inconsistent and depended on the specific SES variable (92.3% for subjective SES, 31.7% for employment status). Lifestyle habits, chronic illnesses, and psychological factors were identified as key mediators of the SES-sleep relationship.

CONCLUSIONS

Unhealthy behaviors, increased stress levels, and limited access to health care in low-SES individuals may explain the SES-sleep health gradient. However, the cross-sectional design of most studies and the high heterogeneity in employed measures of SES and sleep limit the quality of evidence. Further research is warranted due to important implications for health issues and policy changes.

CITATION

Papadopoulos D, Etindele Sosso FA. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research. J Clin Sleep Med. 2023;19(3):605-620.

Insomnia, Daytime Sleepiness, and Quality of Life among 20,139 College Students in 60 Countries around the World-A 2016-2021 Study

Background: Sleep disorders are a widespread phenomenon, and the number of individuals suffering from them is increasing every year, especially among young adults. Currently, the literature lacks studies that cover both countries with different levels of development and a period before the announcement of the ongoing COVID-19 pandemic. Therefore, this study aims to globally assess the prevalence of insomnia and daytime sleepiness among students and assess their quality of life. Methods: For this purpose, our own questionnaire was distributed online via Facebook.com. In addition to the questions that assessed socioeconomic status, the survey included psychometric tools, such as the Athens insomnia scale (AIS), the Epworth sleepiness scale (ESS), and the Manchester short assessment of the quality of life (MANSA). The survey distribution period covered 31 January 2016 to 30 April 2021. Results: The survey involved 20,139 students from 60 countries around the world. The vast majority of the students were women (78.2%) and also those residing in countries with very high levels of development and/or high GDP (gross domestic product) per capita at 90.4% and 87.9%, respectively. More than half (50.6%) of the respondents (10,187) took the survey before the COVID-19 pandemic was announced. In the group analyzed, 11,597 (57.6%) students obtained a score indicative of insomnia and 5442 (27.0%) a score indicative of daytime sleepiness. Women, low-income residents, and nonmedical students were significantly more likely to have scores indicating the presence of insomnia. Individuals experiencing both sleepiness (B = −3.142; p < 0.001) and daytime sleepiness (B = −1.331; p < 0.001) rated their quality of life significantly lower. Conclusions: Insomnia and excessive daytime sleepiness are common conditions among students worldwide and are closely related. The COVID-19 pandemic significantly altered students’ diurnal rhythms, which contributed to an increase in insomnia. Students in countries with a high GDP per capita index are significantly less likely to develop insomnia compared to the residents of countries with a low GDP per capita index. Sleep disorders definitely reduce the quality of life of students.

Factors Related to Oversleeping in Korean Young Adults, with a Focus on Sociodemographic Factors

Young adults the year after high school experience changes in lifestyle and circumstances and tend to experience more oversleeping. However, there are few studies on oversleeping in young adults. This study aims to identify the sociodemographic factors related to oversleeping among young adults in Korea using nationally representative data. This study analyzed self-reported and cross-sectional data in 2016 from a sample of 1876 participants from the Korean Children and Youth Panel Survey, which included respondents one year after high school graduation. Oversleeping was defined as sleeping 9 or more hours a day on average. Logistic regression models were analyzed to test a multivariate association between independent sociodemographic variables and oversleeping. Over one-tenth of young adults reported oversleeping. Oversleeping was associated with household income (OR = 0.99, p = 0.011) and smoking (OR = 1.52, p = 0.041). In addition, when compared to non-working college students, college students who were working (OR = 2.58, p = 0.021), non-students who were working (OR = 1.68, p = 0.048), and non-students who were not working (OR = 3.07, p < 0.001) were more likely to report oversleeping. Oversleeping among young adults was associated with major sociodemographic factors including household income (-), smoking (+), and academic and working status (+). These findings suggest the significant role of sociodemographic factors as predictors of oversleeping and emphasize the importance of examining various factors to achieve a better understanding of oversleeping in young adults.

Towards A Socioeconomic Model of Sleep Health among the Canadian Population: A Systematic Review of the Relationship between Age, Income, Employment, Education, Social Class, Socioeconomic Status and Sleep Disparities

A better understanding of the contribution of the socioeconomic status (SES) in sleep health could guide the development of population-based interventions aiming to reduce “the silent public health issue” that are sleep disturbances. PRISMA was employed to identify relevant studies having examined the association between social class, social capital, education, income/assets, occupation/employment status, neighborhood deprivation and sleep health. Sixteen cross-sectional and three longitudinal studies were selected, having sampled 226,029 participants aged from 2 months to 85 years old. Findings showed that: (1) sleep health disparities among children and adolescent are strongly correlated to parental socioeconomic indicators; (2) poor parental income, poor family SES and poor parental education are associated with higher sleep disturbances among children and adolescents; (3) lower education is a predictor of increased sleep disturbances for adults; (4) low SES is associated with high sleep disturbances in adults and old people and; (5) low income and full-time employment was significantly associated with short sleep among adults and old people. In conclusion, sleep health should be an important public health target. Such intervention would be beneficial for populational health, for all taxpayers and public administrations, which would see a reduction in absenteeism and productivity losses attributable to sleep-related health problems in the global economy.

Measuring Sleep Health Disparities with Polysomnography: A Systematic Review of Preliminary Findings

Socioeconomic status (SES) has an unrecognized influence on behavioral risk factors as well as public health strategies related to sleep health disparities. In addition to that, objectively measuring SES’ influence on sleep health is challenging. A systematic review of polysomnography (PSG) studies investigating the relation between SES and sleep health disparities is worthy of interest and holds potential for future studies and recommendations. A literature search in databases was conducted following Prisma guidelines. Search strategy identified seven studies fitting within the inclusion criteria. They were all cross-sectional studies with only adults. Except for one study conducted in India, all of these studies took place in western countries. Overall emerging trends are: (1) low SES with its indicators (income, education, occupation and employment) are negatively associated with PSG parameters and (2) environmental factors (outside noise, room temperature and health worries); sex/gender and BMI were the main moderators of the relation between socioeconomic indicators and the variation of sleep recording with PSG. Socioeconomic inequalities in sleep health can be measured objectively. It will be worthy to examine the SES of participants and patients before they undergo PSG investigation. PSG studies should always collect socioeconomic data to discover important connections between SES and PSG. It will be interesting to compare PSG data of people from different SES in longitudinal studies and analyze the intensity of variations through time.

Evaluation of the effects of ketogenic diet therapy on sleep quality in children with drug-resistant epilepsy and their mothers

BACKGROUND

Sleep disorders are common in drug-resistant children with epilepsy and their mothers. Ketogenic diet therapy (KDT) may have positive effects on sleep quality. The aim of this study was to evaluate the sleep quality of children with epilepsy and their mothers after starting KDT.

METHODS

Using a prospective cross-sectional model, pre- and post-KDT questionnaires were given to the study subjects. A children's sleep habits questionnaire was administered to children with epilepsy, and the Pittsburgh sleep questionnaire was administered to their mothers. Sociodemographic and some clinical categorical variables of the patient group were evaluated using descriptive statistics. Evaluation of the data was conducted using the Wilcoxon and paired t-tests as parametric and non-parametric tests.

RESULTS

Of 24 patients scheduled to begin KDT between January 2019 and January 2020, 14 were included in the study. Regarding sleep quality, improvement was reported in 7 (50%) of 14 patients, deterioration in 5 (35.7%) patients, and no change was seen in 2 (14.3%) patients. Sleep quality was reported to improve in all working mothers. Seven (50%) patients reported no seizures and 6 (42.9%) patients reported more than 50% seizure reduction. Although there were improvements in sleep scores in both groups, these improvements were not statistically significant. A significant decrease in sleep anxiety was reported in children after the third month of the KDT (p = 0.09).

CONCLUSIONS

The results of this study determined that three months of KDT offered significant improvement on the sleep anxiety of children with epilepsy. It was thought that paying attention to patient selection may lead to better sleep quality by increasing compliance to KDT. However, a larger scale study and longer term follow-up should be done.

Quality of Sleep in the Cypriot Population and Its Association With Multimorbidity: A Cross-Sectional Study

Poor sleep is a relatively common condition with possibly serious adverse health consequences. Lack of sleep affects the endocrine, immune, and nervous systems. In Cyprus, there is no information about the quality of sleep in the population. The goal of this study was to assess the quality of sleep in the Cypriot population and evaluate its association with multimorbidity. A representative sample of the adult population of Cyprus was selected in 2018-2019 among the five government-controlled municipalities of the Republic of Cyprus using stratified sampling. Data on sleep quality as well as on the presence of chronic, clinical, and mental health conditions were collected using a validated questionnaire. Diseases were classified according to the International Classification of Diseases, 10th Revision (ICD-10). A total of 1,140 Cypriot men and women over 18-years of age (range: 18-94) participated in the study. The median Pittsburgh sleep quality index score of the participants was 5 (first quartile = 3, third quartile = 7) with the maximum score being 17, which suggests that the Cypriot population has a relatively good quality of sleep overall, although, almost one-third of the study population had a poor quality of sleep. Women, residents of Paphos, and married people had a poorer quality of sleep (p < 0.05). Having a poor quality of sleep was associated with higher odds of multimorbidity (OR = 2.21, 95% CI: 1.55, 3.16), even after adjusting for demographics, socioeconomic, and lifestyle factors. Adopting good sleep habits could be beneficial and would potentially help reduce the risk of multimorbidity. Public health guidelines regarding the importance of sleep and its association with multimorbidity should be considered.

Sex differences in childhood sleep and health implications

CONTEXT

Sleep is critical for optimal childhood metabolic health and neurodevelopment. However, there is limited knowledge regarding childhood sex differences in sleep, including children with neurodevelopmental disorders, and the impact of such differences on metabolic health.

OBJECTIVE

To evaluate if sex differences in childhood sleep exist and if sleep associates with metabolic health outcomes equally by sex. Using autism spectrum disorder (ASD) as a case study, we also examine sleep sex differences in children with a neurodevelopmental disorder.

METHODS

A narrative review explored the literature focussing on sex differences in childhood sleep.

RESULTS

Sex differences in sleep were not detected among pre-adolescents. However, female adolescents were more likely to report impaired sleep than males. Childhood obesity is more common in males. Shorter sleep duration may be associated with obesity in male pre-adolescents/adolescents; although findings are mixed. ASD is male-predominant; yet, there was an indication that pre-adolescent female children with ASD had more impaired sleep.

CONCLUSION

Sex differences in sleep appear to emerge in adolescence with more impaired sleep in females. This trend was also observed among pre-adolescent female children with ASD. Further research is needed on sex differences in childhood sleep and metabolic health and the underlying mechanisms driving these differences.

Sleep heterogeneity in the third trimester of pregnancy: Correlations with depression, memory impairment, and fatigue

This study aimed to identify sleep subtypes during pregnancy using a person-centered method, explore the underlying factors of these subtypes, and investigate the associations of these subtypes with depression, memory impairment, and fatigue. Accordingly, self-report measures were administered to 1,825 pregnant women to assess demographics, prenatal factors, childhood trauma, personality traits, sleep problems, depression, memory impairment, and fatigue. Data were analyzed using latent class analysis, chi-squared tests, analysis of variance, multinomial logistical regression, and multivariate linear regression analyses. The profiles of "good sleep quality," "poor sleep efficiency," "daily disturbances," and "poor sleep quality" were identified. The results also revealed several factors underlying these subtypes that affect sleep quality: rumination, perinatal complications, high neuroticism, low resilience, history of abortion, and postgraduate education. Further, the "daily disturbances" and the "poor sleep quality" groups reported higher depression, memory impairment, and fatigue than the "good sleep quality" group. Thus, this study elucidated the heterogeneity of sleep subtypes during pregnancy in the Chinese population. Such findings may promote the development of tailored interventions for specific sleep subtypes in pregnant women.

Covid-19 and changes in sleep health in the Blackfeet Community

We examined changes in psychological outcomes related to the COVID-19 pandemic (ie psychological stress, perceived control, and perceived ability to cope) and changes in sleep health in the American Indian Blackfeet community over 4 months (August 24, 2020-November 30, 2020). American Indian adults residing on the Blackfeet reservation (n = 167) completed measures of perceived control over contracting COVID-19, perceived ability to cope with pandemic stressors, psychological stress linked to the pandemic, and a measure of sleep health each month. Linear-effects mixed models were used to examine changes in our outcomes. Community members who reported more control over contracting the virus had better sleep health relative to those who reported less control (B = 0.72, SE = 0.29, p = 0.015). Further, during months when individuals felt they had more control over contracting the virus compared to their average perceived control levels, they had better sleep health relative to their own average (B = 1.06, SE = 0.13, p < 0.001). Average sleep health was the lowest in October, 2020, the month during which COVID-19 incidence was at its highest on the reservation. Declines in sleep health linked to low levels of control over contracting COVID-19 may exacerbate high incidence of chronic mental and physical health conditions in tribal communities. Interventions which highlight strategies known to reduce risk of contracting the virus, may increase perceived control and sleep health, and thus may improve downstream health outcomes for this at-risk population.

Sleep in New Zealand children aged 7-9: associations with ethnicity, socioeconomic status, and achievement in reading and mathematics

STUDY OBJECTIVES

The aims were (1) to investigate differences by ethnicity and socioeconomic status (SES) in objective measures of sleep in children aged 7-9 years and (2) determine whether measures of sleep predict child achievement in reading or mathematics after controlling for ethnicity and SES.

METHODS

Four groups of parent-child dyads were recruited: Māori, low-SES schools (n = 18); Māori, high-SES schools (n = 17); New Zealand European, low-SES schools (n = 18); New Zealand European, high-SES schools (n = 17). Child sleep was measured by actigraphy. Parents and teachers reported child daytime sleepiness and behavior, and children completed a self-report of anxiety symptoms. Teachers also reported on child achievement in reading and mathematics.

RESULTS

Children from low-SES schools went to bed later on school nights (F[1,68] = 12.150, P = .001) and woke later (F[1,68] = 15.978, P < .001) than children from high-SES schools but had similar sleep duration. There were no differences related to ethnicity. Children from low-SES schools were almost 3 times more likely to be below national standards for mathematics. Children not meeting academic standards in mathematics had a later sleep start time, lower sleep period efficiency, and a decreased total sleep time. However, when SES and sleep period efficiency were modeled together neither were found to significantly influence achievement in mathematics.

CONCLUSIONS

In this study, SES influenced sleep timing but not the quality and quantity of sleep in 7- to 9-year-old children, and a significant independent effect of sleep efficiency on learning could not be demonstrated.

Have the sleep habits in children of health workers been more affected during the COVID-19 pandemic?

BACKGROUND

Changes have occurred in children's sleep habits during the coronavirus disease 2019 (COVID-19) pandemic. The purpose of this study was to compare the sleep patterns during the COVID-19 pandemic of school age children of health worker parents (Group 1) and non-health worker parents (Group 2).

METHOD

One hundred twenty-two participants were included in Group 1 and 250 in Group 2. The families' sociodemographic characteristics (education levels and occupations of mothers and fathers, parental shift-working status, monthly family income, number of children in the family, and place of residence), general information for the children taking part (diagnosis of COVID-19 or COVID-19 related isolation, distance education, participation in sporting activities, time spent watching TV, time devoted to reading, time spent on telephones/tablets/computers, and time spent on indoor activities), and the responses given to the Children's Sleep Habits Questionnaire (CSQH)-abbreviated form were all examined.

RESULTS

Group 1 consisted of 122 individuals, 66 (54.1%) female and 56 (45.9%) male, and Group 2 of 250 individuals, 129 (51.6%) female and 121 (48.4%) male. Statistically significant differences were determined between the groups in terms of parental education levels and occupations, family monthly income, number of children in the family, place of residence, parental shift-working status, and length of time spent on indoor activities. Total CSHQ scores were 41.57 ± 7.57 (20-60) in Group 1 and 39.6 ± 8.47 (17-68) in Group 2 (p:0.03).

CONCLUSION

Greater impairment of sleep habits of school age children of health workers compared to those of non-health workers in the COVID-19 pandemic is proved for the first time in this study. Further assessment of the effects of the COVID-19 pandemic on children's sleep habits is now required, and appropriate measures must be taken in the light of the results obtained.

Sleep disturbance and the long-term impact of early adversity

Sleep disturbance may be a central, yet underappreciated mechanism by which early adversity has a long-term impact upon mental and physical health. The fundamental regulatory processes shaped by early adversity - neural, neuroendocrine, and immune - are also central to sleep. Sleep problems, in turn, lead to a similar constellation of chronic health problems that have been linked to early adversity. We bring together work from the fields of early adversity and sleep in order to suggest a model by which sleep disturbance plays a critical role in the far-reaching impacts of early adversity on health. Future research should employ more longitudinal designs and pay particular attention to the impact of developmental periods such as adolescence and midlife when maturational and environmental factors conspire to create a unique time of sleep disturbance. We also suggesting that intervening to minimize sleep disturbance may be a promising means by which to test the model, as well as potentially blunt the long-term impact of early adversity on health.

Socioeconomic status and sleep disturbances among pediatric population: a continental systematic review of empirical research

To this day, no consensus has been established on the definition and the conceptualization of the socioeconomic status (SES), since all the available studies on the relation between SES and health did not use the same conceptual framework and operationalization to assess SES. While literature reported that SES markers (such as income, social support networks, education, employment or occupation) influence the health of populations by shaping living conditions; empirical research does not tell us which SES markers affect more strongly the sleep components of the individuals, as well as which sleep disorders (SD) are affected and how. Even though several original studies have tried to assess how changes in socioeconomic status of parents may affect the psychosocial environment and mental health of an individual directly or through his community, no systematic reviews on the influence of SES on children's sleep are available. This systematic review make an update on the different measures of SES and sleep disturbances used for pediatric population across the different regions of the world. Recommendations for a future standardization of SES measures is proposed, for a better understanding of its influence on sleep disturbances.

Large-scale data from wearables reveal regional disparities in sleep patterns that persist across age and sex

Prior reports on geographical differences in sleep duration have relied on samples collected at different time points with a variety of subjective instruments. Using sleep data from a total of 553,559 nights from 23,680 Fitbit users (aged 15–80y), we found objective evidence for regional disparities in sleep duration of 32–43 min between Oceanian and East Asian users on weekdays. This was primarily driven by later bedtimes in East Asians. Although users in all countries extended sleep on weekends, East Asians continued to sleep less than their Oceanian counterparts. Women generally slept more than men, and older users slept less than younger users. Reasons for shorter sleep duration in East Asians on both weekdays and weekends, across the lifespan and in both sexes remain to be investigated.

Uninterrupted Infant Sleep, Development, and Maternal Mood

OBJECTIVES

Contrary to the importance of total sleep duration, the association between sleeping through the night and development in early infancy remains unclear. Our aims were to investigate the proportion of infants who sleep through the night (6- or 8-hour sleep blocks) at ages 6 and 12 months in a longitudinal cohort and to explore associations between sleeping through the night, mental and psychomotor development, maternal mood, and breastfeeding.

METHODS

At 6 and 12 months of age, maternal reports were used to assess the longest period of uninterrupted infant sleep and feeding method (n = 388). Two different criteria were used to determine if infants slept through the night: 6 and 8 hours of uninterrupted sleep. Mental and psychomotor developmental indices (Bayley Scales of Infant Development II) and maternal mood (Center for Epidemiologic Studies Depression Scale) were measured at 6, 12, and 36 months of age.

RESULTS

Using a definition of either 6 or 8 hours of uninterrupted sleep, we found that 27.9% to 57.0% of 6- and 12-month-old infants did not sleep through the night. Linear regressions revealed no significant associations between sleeping through the night and concurrent or later mental development, psychomotor development, or maternal mood (P > .05). However, sleeping through the night was associated with a much lower rate of breastfeeding (P < .0001).

CONCLUSIONS

Considering that high proportions of infants did not sleep through the night and that no associations were found between uninterrupted sleep, mental or psychomotor development, and maternal mood, expectations for early sleep consolidation could be moderated.

Sleep duration, health status, and subjective well-being: a population-based study

OBJECTIVE

To evaluate, in a population-based approach, the association of extreme sleep duration with sociodemographic factors, health, and well-being.

METHODS

We analyzed the data from the 2014/2015 Health Survey in the city of Campinas, State of São Paulo, Brazil (ISACamp), performed with 1,969 individuals (≥ 20 years old). Associations between the independent variable and short (≤ 6 hours) and long (≥ 9 hours) sleep were determined using the Rao-Scott chi-square test. The analyses were adjusted with multinomial logistic regression models.

RESULTS

Men, individuals aged 40 to 59, those with higher schooling, those who have one (OR = 1.47, 95%CI 1.02–2.12), two (OR = 1.73, 95%CI 1.07–2.80), or three or more (OR = 1.62, 95%CI 1.16–2.28) chronic diseases, and those with three or more health problems (OR = 1.96, 95%CI 1.22–3.17) were more likely to have a short sleep. The chance of long sleep was higher in widowers and lower in those who have more years of schooling, with higher income, worked, lived with more residents at home, and reported three or more diseases (OR = 0.68, 95%CI 0.48–0.97) and health problems. The chance of either short (OR = 2.41, 95%CI 1.51–3.87) or long sleep (OR = 2.07, 95%CI 1.23–3.48) was higher in unhappy individuals.

CONCLUSIONS

These findings highlight the higher chance of short sleep duration among men, among persons in productive age, and among those with a higher level of schooling in a Brazilian city. The association of short sleep with comorbidities and the association of happiness with extremes of sleep duration were also important results to understand the relation of sleep duration with health and well-being.

Screen time exposure and sleep among children with developmental disabilities

AIM

Children with developmental disabilities are at risk of excessive screen time and are more vulnerable to sleep problems. The aim of this study was to determine the extent of screen time use in children with developmental disabilities and its relationship with sleep duration.

METHODS

Consecutive children aged 6-15 years diagnosed with Diagnostic and Statistical Manual of Mental Disorders, Fourth or Fifth Edition (DSM-IV or DSM-5) developmental disabilities were recruited for this study from December 2014 to April 2015. Of those recruited, 87.0% of families gave consent and provided questionnaire information on demographics and child's screen time use and completed the Children's Sleep Habits Questionnaire.

RESULTS

Parents of 102 children in a tertiary-care developmental clinic completed the study. The mean age of children was 10 years, 1 month (standard deviation (SD), 22.7 months). The mean daily total screen time exposure was 2 h, 52.7 min (172.7 min, SD 120.8 min), with a median of 150.0 min. The mean amount of sleep per weekday was 8 h, 23.3 min (SD 64.6 min). Linear regression showed that, for every additional 9.17 min of screen time per day, sleep was reduced by 1 min (β = -0.11, P = 0.04). Older age (β = -0.64, P = 0.02) and living with a single parent (β = -69.29, P = 0.003) were also associated with less sleep.

CONCLUSIONS

Among children with developmental disabilities, greater daily screen time is associated with lower sleep duration. Older children and those from single-parent families are at risk of lower sleep duration. Clinicians should routinely ask about screen time exposure and sleep habits in order to provide appropriate anticipatory guidance.

School start time effects on adolescent learning and academic performance, emotional health and behaviour

PURPOSE OF REVIEW

The investigation of the relationship between the time of day that school begins and the effects it could have on students began in the mid-1990s. Since that time, many articles have been written either for the medical literature or the educational literature. This review is intended to bridge that gap by examining together the findings for both academic and health outcomes, exploring what we know and what is needed in further investigation.

RECENT FINDINGS

Teens who are sleep deficient (defined as obtaining less than 8 h per night) because of early starting time for their school are much more likely to engage in risky behaviours, such as drug, cigarette and alcohol use, have significant feelings of depression, get lower grades and are at greater risk for car crashes. Many studies of academic performance and later school start time indicate benefits, although further research is needed to understand the related mechanisms that contribute to improvements in achievement. Recent research in adolescent sleep and outcomes is being shaped by not only measuring sleep duration, but also examining the timing in which sleep occurs.

SUMMARY

Early school starting time for middle and high students has a clear, deleterious effect on their health and well being. Most recently, sleep deficit in teens is being viewed as a public health issue that needs a wider discussion about its impact and it necessitates improved public education about the sleep phase shift that occurs during adolescence.