The association between maternal postnatal depressive symptoms and offspring sleep problems in adolescence

Sleep and Mood Disorders Among Youth

This article reviews the literature on mood disorders and sleep disorders among children and adolescents. Research suggests that sleep plays an important role in the development, progression, and maintenance of mood disorder symptoms among children and adolescents. Sleep problems as early as maternal perinatal insomnia may predict and predate depression among youth. Children and adolescents who develop comorbid mood disorders and sleep problems represent a particularly high-risk group with more severe mood episode symptoms, higher rates of self-harm and suicidality, and less responsivity to treatment. Treatment research supports the idea that sleep problems can be improved through behavioral interventions.

Perinatal Physiological and Psychological Risk Factors and Childhood Sleep Outcomes: A Systematic Review and Meta-analysis

OBJECTIVES

The purpose of this study was to investigate the influence of maternal physiological and psychological factors during pregnancy and after birth on infant and children's sleep outcomes.

METHODS

Six databases were searched from inception to April 2021. Longitudinal studies that investigated the association of risk factors during and after pregnancy and children's sleep-related outcomes were included. Hedge's g and odds ratio were pooled as effect size with random effects model.

RESULTS

A total of 32 articles were included. Both prenatal maternal alcohol use (odds ratio [OR] = 1.85, 95% confidence interval [CI]: 1.04-3.28) and tobacco smoking (OR = 1.28, 95% CI: 1.01-1.62) were associated with shorter child sleep duration. Prenatal and postnatal maternal depression symptoms were associated with increased child sleep problems at age 6 months (OR = 1.97, 95% CI: 1.19-3.24, and 2.05, 95% CI: 1.37-3.07, respectively). Prenatal and postnatal maternal major depression disorders were associated with shorter sleep duration (Hedge's g = -0.97, 95% CI: -1.57 to -0.37) and lower sleep efficiency (Hedge's g = -1.44, 95% CI: -1.93 to -0.95). Prenatal anxiety had no impact on child sleep problems (OR = 1.34, 95% CI: 0.86-2.10).

CONCLUSION

Maternal pregnancy and obstetric factors and psychological factors are potential risk factors of poor child sleep health. Future research is warranted to better understand the impact of these risk factors on long-term child sleep outcomes and their potential mediating mechanisms.

Sleep disturbances, circadian activity, and nocturnal light exposure characterize high risk for and current depression in adolescence

Study Objectives

Major depressive disorder (MDD) in adolescence is associated with irregularities in circadian rhythms and sleep. The characterization of such impairment may be critical to design effective interventions to prevent development of depression among adolescents. This study aimed to examine self-reported and actimetry-based circadian rhythms and sleep–wake behavior associated with current MDD and high risk (HR) for MDD among adolescents.

Methods

Ninety-six adolescents who took part in the IDEA-RiSCo study were recruited using an empirically developed depression-risk stratification method: 26 classified as low risk (LR), 31 as HR, and 39 as a current depressive episode (MDD). We collected self-report data on insomnia, chronotype, sleep schedule, sleep hygiene as well as objective data on sleep, rest-activity, and light exposure rhythms using actimetry for 10 days.

Results

Adolescents with MDD exhibited more severe insomnia, shorter sleep duration, higher social jetlag (SJL), lower relative amplitude (RA) of activity, and higher exposure to artificial light at night (ALAN) compared with the other groups. They also presented poorer sleep hygiene compared with the LR group. The HR group also showed higher insomnia, lower RA, higher exposure to ALAN, and higher SJL compared with the LR group.

Conclusions

HR adolescents shared sleep and rhythm alterations with the MDD group, which may constitute early signs of depression, suggesting that preventive strategies targeting sleep should be examined in future studies. Furthermore, we highlight that actimetry-based parameters of motor activity (particularly RA) and light exposure are promising constructs to be explored as tools for assessment of depression in adolescence.

Predictors of Sleep-Problem Trajectories Across Adolescence

Stress and sleep problems are significantly correlated in adolescents. Few longitudinal studies, however, have evaluated possible correlates and predictors of sleep problems at multiple points across adolescence. The current study examined the relation between stress and sleep problems across four years in a sample of adolescents who varied in risk for psychopathology. Participants included 223 adolescents (55% female) and 223 mothers (77% with a history of a mood disorder during their child's life). Youth were evaluated in grade 7 (M = 12.69 years, SD = 0.61) and again in grades 8, 9, and 11. Sleep problems were assessed as part of a clinical interview, and weekly stressful events were measured with the Life Events Interview for Adolescents. Multi-group latent growth curve analyses were conducted. Among youth whose mothers had a history of depression (high-risk), sleep problems significantly increased over time (p < .001). Second, among high-risk youth, at each time point, higher stress levels during the prior three months significantly predicted higher levels of sleep problems (p < .001). Finally, across the entire sample, at each time point a greater level of sleep problems predicted higher stress ratings a year later (p ≤ .001). Thus, stress was a significant predictor of sleep problems across multiple years of adolescence, particularly among offspring of mothers with a history of depression. Results highlight targets for preventive interventions for sleep problems in youth.

Sleep and Mood Disorders Among Youth

This article reviews the literature on mood disorders and sleep disorders among children and adolescents. Research suggests that sleep plays an important role in the development, progression, and maintenance of mood disorder symptoms among children and adolescents. Sleep problems as early as maternal perinatal insomnia may predict and predate depression among youth. Children and adolescents who develop comorbid mood disorders and sleep problems represent a particularly high-risk group with more severe mood episode symptoms, higher rates of self-harm and suicidality, and less responsivity to treatment. Treatment research supports the idea that sleep problems can be improved through behavioral interventions.

Depressive symptoms measured using the Edinburgh Postnatal Depression Scale in mothers and partners in the ALSPAC Study: A data note

Depression is a leading cause of disability and is associated with a number of adverse offspring outcomes when it occurs in parents. Depression is present in men and women at different rates, and recent research suggests that symptom profiles between the sexes may differ. Longitudinal data are needed to answer remaining questions about the long-term course, gender differences, antecedents and outcomes of depression. The Avon Longitudinal Study of Parents and Children (ALSPAC) is a large birth cohort study in England which administered one of the most commonly used depression instruments, the Edinburgh Postnatal Depression Scale (EPDS) at 11 timepoints in mothers and at 10 timepoints in their partners. In addition to repeated measurements of the EPDS, ALSPAC has a wealth of participant data on biological, social, demographic, and lifestyle factors. The purpose of this data note is to introduce potential users of the data to the characteristics of the EPDS in ALSPAC, as well as some key considerations when using the data.

Maternal emotions during the pre/postnatal periods and children's sleep behaviors: The mediating role of children's behavior

BACKGROUND

We aimed to investigate the association of mother's perceived levels of depression and happiness across all trimesters of pregnancy and after delivery on their children's sleep problems, as well as examine the possible mediating effect of children's behavioral problems.

METHODS

Participants included 1257 children (54% boys, mean age = 5.74 ± 0.48 years). Pre- and postnatal maternal emotions were self-reported using a 5-point scale for happiness and a 3-point scale for depressive emotions. Children reported sleep and behavioral problems using the Child Behavior Checklist.

RESULTS

Adjusted models showed that children of women reporting depressive emotions during either the postnatal period (β = 3.07, p = 0.01) or both prenatal and postnatal periods (β = 2.91, p = 0.01) were more likely to report sleep disturbances. By contrast, children of women reporting higher levels of happiness in the second (β = -1.91, p = 0.04) and third (β = -2.27, p = 0.001) trimesters were less likely to report sleep problems.

LIMITATIONS

Differences in maternal-report of children's behaviors could reflect memory and recall bias, and maternal emotions were assessed by researcher-designed single item measures. All measures were completed by a single reporter. Other associated factors should be considered in clarifying the complex associations.

CONCLUSIONS

Maternal depressive emotions during pre- and postnatal periods were associated with an increase in children's sleep problems, while increased happiness during pregnancy was associated with a decrease in children's sleep problems. Children's behavioral problems significantly mediated these relationships. To our knowledge, this is the first study to examine the relationship between maternal pre- and postnatal emotions and children's sleep behavior in an Asian sample.

Association of sleep disorder with academic performance among medical students in Sudan

Background — Sleep disorder is a common problem amongst medical students. The objective of this study is to determine the association of sleep disorder with academic performances among medical students in Sudan. Methods — A cross-sectional study was conducted in which 199 medical students were selected through simple random sampling techniques. Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale were used to assess the sleep pattern and daytime sleepiness respectively. Logistic regression analysis was used to determine the association of sleep disorder with academic performance. Results — Majority of the students (82.5%) suffered poor sleep quality and 56.5% were suffered from severe day time sleepiness. All the characteristics of sleep quality were associated with poor academic performance but only sleep duration, use of sleep medication, global PSQI score and day time sleepiness were a statistically significant association with poor academic performance. Conclusion — A high prevalence of sleep disorder and its associated with poor academic performance was found in medical students. There is a need for a formulation of policies to address the factors which affect sleep of students.

Depressive symptoms measured using the Edinburgh Postnatal Depression Scale in mothers and partners in the ALSPAC Study: A data note

Depression is a leading cause of disability and is associated with a number of adverse offspring outcomes with it occurs in parents. Depression is present in men and women at different rates, and recent research suggests that symptom profiles between the sexes may differ. Longitudinal data are needed to answer remaining questions about the long-term course, gender differences, antecedents and outcomes of depression. The Avon Longitudinal Study of Parents and Children (ALSPAC) is a large birth cohort study in England which administered one of the most commonly used depression instruments, the Edinburgh Postnatal Depression Scale (EPDS) at 11 timepoints in mothers and at 10 timepoints in their partners. In addition to repeated measurements of the EPDS, ALSPAC has a wealth of participant data on biological, social, demographic, and lifestyle factors. The purpose of this data note is to introduce potential users of the data to the characteristics of the EPDS in ALSPAC, as well as some key considerations when using the data.

Potential determinants during 'the first 1000 days of life' of sleep problems in school-aged children

STUDY OBJECTIVES

Early life determinants of sleep problems are mostly unknown. The first 1000 days of life (ie, the time between conception and a child's second birthday) is a period where the foundations for optimum health, growth and neurodevelopment are established. The aim of this explorative study is to identify potential early life determinants of sleep problems at age 7-8 years.

METHODS

Data from the Amsterdam Born Children and their Development cohort study (n = 2746) were analyzed. Sleep problems at age 7-8 years were reported by the caregiver in the 'Child Sleep Habits Questionnaire'. A higher total score indicates more sleep problems. After multiple imputation (n = 20), we studied multivariable associations between all potential determinants and sleep problems using regression analysis.

RESULTS

A higher pre-pregnancy body mass index (BMI) was associated with more sleep problems at age 7-8 years [β 0.12 (95% CI 0.05, 0.18)]. Children of mothers with symptoms of anxiety during pregnancy [β 0.06 (95% CI 0.03, 0.09)] and infancy period [β 0.04 (95% CI 0.00, 0.07)] had more sleep problems. Children of mothers drinking ≥1 glass of alcohol a day around 14 weeks of gestation had a 2 points higher sleep problem score [β 2.55 (95% CI 0.21, 4.89)] and children of mothers smoking ≥1 cigarette per day in that period had a one point higher score [β 1.07 (95% CI 0.10, 2.03)]. Infants with relative weight loss (delta BMI-SD) had a higher sleep problem score during childhood [β -0.32 (95%CI -0.60, -0.04)].

CONCLUSIONS

We identified several potential determinants during pregnancy and infancy associated with childhood sleeping problems. We encourage further research into these and other potential determinants to replicate results and to identify underlying mechanisms.

Early parental positive personality and stress: Longitudinal associations with children's sleep

OBJECTIVES

The current study examined the influence of early parental stress and positive parent personality during infancy on sleep in middle childhood. Further, the role of positive parent personality as a buffer of the association between parental stress and sleep was considered.

METHODS

Participants included 381 twins and their primary caregivers who were recruited from birth records in the United States. Primary caregivers completed survey assessments via phone when twins were 12 and 30 months of age to assess multiple dimensions of parental stress and positive parent personality. Approximately 6 years later (M = 5.78, SD = 0.42), twins participated in an intensive assessment that included wearing actigraph watches to provide an objective measurement of sleep, while primary caregivers completed daily diaries regarding twins' sleep.

RESULTS

Positive parent personality was associated prospectively with longer actigraphy sleep duration and higher parent-reported sleep quality/daytime functioning. Parental stress was associated prospectively with greater variability in sleep duration. Positive parent personality moderated the parental stress - sleep-timing relation, such that greater parental stress was associated with a later midpoint of the sleep period only for children with parents low on positive personality (e.g., low optimism). All other findings were non-significant.

CONCLUSIONS

Findings suggest that both positive attributes and stress may influence sleep in middle childhood and that low parent positive personality may exacerbate associations between parental stress and later timing of sleep periods in children. Early interventions to promote healthy sleeping may consider focusing on decreasing parental stress and increasing parental empathy and optimism as early as infancy. Statement of contribution What is already known on this subject? Early-life experiences, especially adversity, have been related to health outcomes among adults and children, such that negative experiences are associated with poor health outcomes. Poor sleep (e.g., short duration, poor quality) among children is associated with negative outcomes including poorer cognitive performance and higher adiposity. What does this study add? This study used a prospective design to understand relations between early parent-related factors and child sleep. Early parental stress and positive parent personality were associated with objective sleep quality. Positive parent personality during infancy may have promotive/protective influences on sleep later in childhood.

Sleep in Offspring of Parents With Mood Disorders

Background: Sleep problems in childhood are an early predictor of mood disorders among individuals at high familial risk. However, the majority of the research has focused on sleep disturbances in already diagnosed individuals and has largely neglected investigating potential differences between weeknight and weekend sleep in high-risk offspring. This study examined sleep parameters in offspring of parents with major depressive disorder or bipolar disorder during both weeknights and weekends. Methods: We used actigraphy, sleep diaries, and questionnaires to measure several sleep characteristics in 73 offspring aged 4-19 years: 23 offspring of a parent with major depressive disorder, 22 offspring of a parent with bipolar disorder, and 28 control offspring. Results: Offspring of parents with major depressive disorder slept, on average, 26 min more than control offspring on weeknights (95% confidence interval, 3 to 49 min, p = 0.027). Offspring of parents with bipolar disorder slept, on average, 27 min more on weekends than on weeknights compared to controls, resulting in a significant family history × weekend interaction (95% confidence interval, 7 to 47 min, p = 0.008). Conclusions: Sleep patterns in children and adolescents were related to the psychiatric diagnosis of their parent(s). Future follow-up of these results may clarify the relations between early sleep differences and the risk of developing mood disorders in individuals at high familial risk.

Prenatal and early life origins of adolescence sleep problems: evidence from a birth cohort

PURPOSE

This study aims to identify the prenatal and early life predictors of adolescence sleep problems.

METHODS

Sleep data (n = 5081) from the 14-year (13.92 ± 0.34 years) follow-up of a birth cohort were analyzed to explore the predictors of adolescence trouble sleeping, nightmares, snoring and sleep talking/walking. Data from the antenatal period till adolescence were explored for identifying predictors of adolescence sleep problems. Modified Poisson regression with a robust error variance was used to identify significant predictors.

RESULTS

Our results suggest that about a quarter of adolescents in our study sample had sleep maintenance problems (nightmares: 27.88%, snoring: 23.20%, sleepwalking/talking 27.72%). The prevalence rate of sleep initiation problems was even higher (trouble sleeping: 40.61%). Our results suggest that antenatal and early-life factors, e.g. maternal smoking, anxiety, sleep problems in childhood, attention deficit hyperactivity disorder (ADHD) symptoms, and poor health are significant predictors of adolescence sleep problems.

CONCLUSIONS

This study demonstrates the predictive role of prenatal and early life risk factors in adolescence sleep problems. It seems that exposure to prenatal and early life risk factors increase the vulnerability for sleep problems later in life, which is further supported by poor health and lifestyle choices in adolescence. Therefore, close observation and mitigation of factors associated with early life risk factors could be a potential strategy for preventing sleep problems later in life.