Dual Trajectories of Sleep Duration and Cigarette Smoking during Adolescence: Relation to Subsequent Internalizing Problems

A systematic review and meta-analysis of group-based trajectory modeling of sleep duration across age groups and in relation to health outcomes

STUDY OBJECTIVES

To shed light on understanding sleep duration trajectories (SDTs) using different classification methods and their outcomes, this study aimed to (1) identify common SDTs among different age groups, (2) investigate the alignment versus differences between SDTs identification by group-based trajectory modeling (GBTM) and clinical standards, and (3) examine the impacts of SDTs on health outcomes.

METHODS

A systematic literature search from four databases yielded 34 longitudinal SDT studies with GBTM analyses spanning three or more data waves. Apart from the proportion meta-analysis, a three-level meta-analysis was conducted with 14 of the studies that examined the association between SDT groups and health outcomes. Assessment of study quality was performed using the Guidelines for Reporting on Latent Trajectory Studies checklist.

RESULTS

Qualitative analysis identified four age-related SDT classes based on longitudinal trends: "persistent sleepers," "increase sleepers," "decrease sleepers," and "variable sleepers." Meta-analysis also showed differential proportions of "GBTM-defined shortest sleepers" across age groups and sample regions, as well as significant discrepancies in the prevalence of short sleep identified by clinical standards (=50% vs. 15% per GBTM). Overall, SDTs predicted emotional and behavioral outcomes, neurocognitive problems, and physical health (OR = 1.538, p < 0.001), in GBTM-defined "short," "fluctuating," "long," and "decreasing" sleepers as compared to the "adequate" group. The effects were stronger in adolescents and in datasets with more waves.

CONCLUSIONS

The identification of the GBTM-defined "short," "fluctuating," "long," and "decreasing" SDT groups and their associations with various health outcomes supported longitudinal investigations, as well as the development of interventions focusing on both the length and stability of sleep durations, especially in younger populations. Study registration: PROSPERO registration number CRD42023412201.

The Interactions between Smoking and Sleep

Smoking a cigarette before bed or first thing in the morning is a common habit. In this review, the relationship between smoking and sleep is investigated based on the existing literature. Out of 6504 unique items that were identified via a PubMed search related to smoking and sleep, 151 were included in this review. Tobacco smoking disrupts sleep architecture by reducing slow wave and rapid eye movement (REM) sleep and undermining sleep quality. Furthermore, smoking affects sleep-related co-morbidities, such as obstructive sleep apnea-hypopnea syndrome (OSAHS), insomnia, parasomnias, arousals, bruxism, and restless legs, as well as non-sleep-related conditions such as cardiovascular, metabolic, respiratory, neurologic, psychiatric, inflammatory, gynecologic and pediatric issues, while poor sleep quality also seems to worsen the chances of successful smoking cessation. In conclusion, the existing literature suggests that there is a wicked relation between smoking and sleep.

Group-based sleep trajectories in children and adolescents: A systematic review

Sleep is crucial for health and development. Evidence indicates that sleep changes over time and distinct subgroups may experience different longitudinal patterns. This study systematically reviewed the studies that used latent trajectory modeling to investigate sleep trajectories of children and adolescents aged 0-18 years, and summarized the associated determinants and health-related outcomes. We searched PubMed, Embase, CENTRAL, PsycINFO, and Web of Science, identifying 46 articles that met our criteria. To ensure the reliability of the review, only studies rated as good or fair in terms of methodological quality were included, resulting in a total of 36 articles. Group-based trajectories were identified on several sleep dimensions (i.e., sleep duration, general and specific sleep problems, and bed-sharing behavior) and three or four trajectories were reported in most studies. There was a convergence trend across sleep duration trajectories during the first six years of life. Studies on specific sleep problem (i.e., insomnia, night-waking, and sleep-onset difficulties) typically identified two trajectories: consistent, minimal symptoms or chronic yet fluctuating symptoms. Lower socioeconomic status, maternal depression, and night feeding behaviors were the most frequently reported determinants of sleep trajectories. Membership in a group with certain adverse patterns (e.g., persistent short sleep duration) was associated with increased risks of multiple negative health-related conditions, such as obesity, compromised immunity, neurological problems, substance use, or internalizing/externalizing symptoms. Generally, there is potential to improve the quality of studies in this field. Causality is hard to be inferred within the current body of literature. Future studies could emphasize early life sleep, incorporate more assessment timepoints, use objective measures, and employ experimental design to better understand changes of and mechanisms behind the various sleep trajectories and guide targeted interventions for at-risk subpopulations.

Longitudinal patterns of patient-reported sleep disturbances after surgery for lung cancer

PURPOSE

The purpose of this study was to identify longitudinal heterogeneous trajectories of sleep status, adjusted for the effect of pain over time, among patients who had surgery for lung cancer and to quantify how disturbed sleep in the hospital affects functional recovery after discharge.

METHODS

We included patients from a surgical cohort (CN-PRO-Lung 1). All patients reported symptoms using the MD Anderson Symptom Inventory-Lung Cancer (MDASI-LC) daily during postoperative hospitalization. Group-based dual trajectory modeling was used to investigate trajectories of disturbed sleep and pain during the first 7 days of postoperative hospitalization. Cox regression was used to compare the recovery of walking ability between the different sleep trajectories.

RESULTS

Among 421 patients, disturbed sleep trajectories comprised low (31%), moderate (52%), and high (17%) groups. The surgical approach and number of chest tubes were associated with pain, and the number of chest tubes was also associated with sleep disturbances (OR = 1.99; 95% CI: 1.08-3.67). Recovery of walking ability after discharge was significantly slower in the high (median days = 16; 95% CI: 5-NA) and moderate disturbed sleep trajectory groups (median days = 5; 95%CI: 4-6) than in the low group (median days = 3; 95% CI: 3-4).

CONCLUSION

Changes in disturbed sleep among patients with lung cancer followed three distinct trajectories over the first 7 days of hospitalization after surgery. Dual trajectory analyses highlighted the high concordance between specific trajectories of disturbed sleep and pain. Patients at high sleep disturbance and high levels of pain may benefit from appropriate interventions for both symptoms in combination with the patient's surgical approach and the number of chest tubes.

Association between sleep duration and depression in menopausal women: a population-based study

Aims

This research investigated menopausal women older than 50 years to find whether there were any independent relationships between the duration of sleep they got and their prevalence of depression.

Methods

National Health and Nutrition Examination Survey (NHANES) datasets from 2011-2020 were utilized in a cross-sectional study. Using multivariate linear regression models, the linear relationship between sleep duration and depression in menopausal women was investigated. Fitted smoothing curves and thresholds impact evaluation were used to investigate the nonlinear relationship. Then, subgroup analyses were performed according to smoking, drinking alcohol, diabetes, hypertension, heart disease, and moderate activities.

Results

This population-based study included a total of 3,897 menopausal women (mean age 65.47 ± 9.06 years) aged≥50 years; 3,159 had a depression score <10, and 738 had a depression score≥10. After controlling for all covariates, the prevalence of depression was 17% higher among participants with short sleep duration [OR=1.17, 95%CI=(0.65, 1.70), P<0.0001] and 86% [OR=1.86, 95%CI=(1.05, 2.66), P<0.0001] compared to participants with normal sleep duration. In subgroup analyses stratified by smoking and diabetes, the sleep duration and depression scores of non-smokers [β=-0.18, 95%CI= (-0.33, -0.02), P=0.0241] and diabetics were independently negatively correlated [β=-0.32, 95%CI= (-0.63, -0.01), P=0.0416]. Using a two-segment linear regression model, we discovered a U-shaped relationship between sleep duration and depression scores with an inflection point of 7.5 hours. Less than 7.5 hours of sleep was associated with an increased risk of developing depression [β=-0.81, 95%CI= (-1.05, -0.57), P<0.001]. However, sleeping more than 7.5 hours per night increased the risk of depression considerably [β=0.80, 95%CI= (0.51, 1.08), P<0.001].

Conclusions

Depression is associated with sleep duration in menopausal women. Insufficient or excessive sleep may increase the risk of depression in menopausal women.

Association between healthy sleep patterns and depressive trajectories among college students: a prospective cohort study

BACKGROUND

The purpose of this study was to identify different develpment trajectories of depression symptoms during college period, and prospectively investigate the associations healthy sleep patterns with trajectories of depression symptoms among college students from freshman through junior year.

METHODS

A total of 999 participants from the College Student Behavior and Health Cohort Study were included between April 2019 and June 2021. Healthy sleep patterns were defined by chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. Latent growth curve model was used to identify trajectories of depression symptoms. Then binary logistic regression was used to examine association of the healthy sleep patterns with these trajectories.

RESULTS

In baseline survey, we found that a total of 100 (10.0%) participants had healthy sleep patterns' score equal to 5. Then, we used 5 surveys' data to identify 2 distinct trajectories of depression symptoms during college (decreasing: 82.5%; increasing: 17.5%). The healthy sleep patterns were associated with these trajectories, the better healthy sleep patterns significantly decrease the risk of increasing trajectories of depression symptoms in males (OR: 0.72, 95%CI: 0.54 ~ 0.97, P = 0.031). Moreover, we found out that the healthy sleep patterns of college students can predict the future depressive symptoms in this study (all P < 0.001).

CONCLUSION

Our findings indicate that the better healthy sleep patterns may significantly decrease the risk of increasing trajectory of depression symptoms only in male college students. The results speak to a need for college student with depression symptoms to identify and address sleep problems when present, which could prevent or reduce depression detriments in later life.

Sleep duration trajectory during the transition to adolescence and subsequent risk of non-suicidal self-harm

Non-suicidal self-harm (NSSH) and chronic insufficient sleep are both major health problems during the transition from childhood to adolescence. We examined to identify sleep duration trajectories from childhood to adolescence and their associations with subsequent risk of NSSH. A cohort of children around the period of pubertal onset (7-9 years old) were followed from 2013 over 6 years. Group-based trajectory modeling was recruited to identify sleep duration trajectories derived from 5 repeated measures. Association between sleep duration trajectories with the risk of NSSH was examined using multivariate logistic regression model. Nonlinear dose-response associations between sleep duration and NSSH risk were also assessed using restricted cubic spline models. Of the 1973 participants included in the study (mean ± SD, 8.1 ± 0.9 years age at baseline, 41.1% female). Three sleep duration trajectories were identified: persistent sleeping ≥ 8 h/day (27.7%), moderately decreasing (60.8%) and rapidly decreasing (11.5%) sleep duration groups. After multivariable adjustment for covariates, compared with the persistent sleeping ≥ 8 h/day group, the odds ratio of NSSH was 2.58 (95% CI 1.92, 3.45) for the moderately decreasing group, and 4.16 (2.86, 6.04) for rapidly decreasing group. In dose-response analysis, sleep duration was associated with NSSH risk in a non-linear fashion (χ² = 25.16, P_nonlinearity < 0.001). When compared with the reference (sleep duration = 8 h), the ORs (95% CI) for NSSH risks were 3.20 (1.93, 5.29), 2.37 (1.64, 3.41), 1.75 (1.39, 2.20) and 1.30 (1.18, 1.44) for sleep duration at 4 to 7 h, respectively. Also, we found sleep duration at 9 h [0.82 (0.75, 0.89)] and at 10 h [0.72 (0.57, 0.91)] significantly associated with decreased risk of NSSH. Longitudinal sleep duration patterns may assist in identification of adolescents at greatest risk of NSSH in the future, which could lead to improved targeting of prevention and intervention strategies. The findings also highlight a non-linear relationship between sleep duration and NSSH during the transition to adolescence.

Cigarette use, anxiety, and insomnia from adolescence to early adulthood: A longitudinal indirect effects test

BACKGROUND

Cigarette use during adolescence has been linked to increased risk for insomnia symptoms, but limited work has examined factors that may account for this association. Adolescent cigarette use and anxiety symptoms characterized by physiological hyperarousal evidence bidirectional associations, as do anxiety symptoms and insomnia symptoms. This suggests that adolescent cigarette use, anxiety symptoms characterized by physiological hyperarousal, and insomnia symptoms may increase and maintain one another. The current study tests physiological hyperarousal anxiety symptoms as a potential indirect effect in the cigarette-insomnia symptoms link across adolescence and young adulthood.

METHODS

We examined data from adolescents and young adults from Waves 1, 2, 3 and 4 of the National Longitudinal Study of Adolescent to Adult Health (N = 2,432 with full data). Insomnia symptoms were assessed at baseline (ages 12-16 years), 1 year later (13-17 years), and 14 years after baseline (26 - 30 years) among a nationally representative sample of adolescents. Cigarette use was assessed at baseline, 1 year later, 6 years after baseline, and 14 years after baseline. Anxiety symptoms were assessed at baseline and 1 year later.

RESULTS

Structural equation models indicated that anxiety symptoms exerted an indirect effect on the longitudinal associations between adolescent cigarette use and adult insomnia symptoms. Anxiety symptoms and cigarette use evidenced bidirectional associations during adolescence.

CONCLUSIONS

These results suggest that increases in anxiety symptoms characterized by physiological hyperarousal may be one mechanism whereby cigarette use during adolescence is associated with increased insomnia symptoms during early adulthood. Prevention efforts aimed at reducing cigarette use during adolescence may have long term additional benefits for anxiety symptoms and insomnia symptoms.

Understanding the Relationship Between Sleep Problems in Early Childhood and Borderline Personality Disorder: A Narrative Review

OBJECTIVE

Recent research indicates that sleep problems in childhood precede the development of borderline personality disorder (BPD) symptoms, but the mechanisms by which sleep problems associate with BPD are still unknown. This narrative review aims to provide some potential explanations for how early sleep problems might associate with BPD.

METHODS

We used the biosocial developmental model of BPD as a framework to discuss how sleep problems may associate with BPD. Articles were identified via PubMed and Embase, and papers published between January 1991 and April 2021 were extracted. Authors made a series of literature searches using the following keywords: Sleep problems, Insomnia, Nightmares, Hypothalamic-Pituitary-Adrenal Axis (HPA), Prefrontal Cortex, Family Psychopathology, Disrupted Attachment, Child Maltreatment, Impulsivity, Emotion Regulation, Internalizing, Externalizing, Rumination, Childhood, Adolescence, Young people. The inclusion criteria were published in peer-reviewed journals; human studies or reviews; published in English. The exclusion criteria were commentaries; abstracts from conferences; studies with animal samples. A total of 96 articles were included for the purpose of this review.

RESULTS

The evidence from this review suggests that some biological factors and core features of BPD act as potential mechanisms mediating the associations between early sleep and subsequent BPD, while some family-related factors might constitute common risk factors for sleep problems and BPD.

CONCLUSION

The biosocial developmental model of BPD provides a plausible characterization of how sleep disruption might lead to subsequent BPD. Further research on new developmental and early intervention approaches to understand how sleep in early stages associates with BPD could have significant clinical impact on these patients and could inform targeted therapeutic interventions.

Relationship between sleep duration and sociodemographic characteristics, mental health and chronic diseases in individuals aged from 18 to 85 years old in Guangdong province in China: a population-based cross-sectional study

BACKGROUND

Sleep is vital for maintaining individual's physical and mental health. Prior studies have reported close relationships between sleep duration and chronic diseases. However, in China, the prevalence of aberrant sleep duration and the associations between sleep duration and chronic conditions still merit studying in Guangdong province. This study aimed at examining the relationship between sleep duration and multiple dimensions of sociodemographic characteristics, mental health and chronic diseases in Guangdong province in China, with a large population-based data of individuals aged from 18 to 85 years old.

METHODS

This study aimed at analyzing the sociodemographic and clinical characteristics of the population in Guangdong province. Multistage stratified cluster sampling was applied for this study. 13,768 participants from Guangdong province were interviewed with standardized assessment tools, including Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder (GAD-7). Basic socio-demographic information, mental health and chronic diseases information were collected. Self-reported sleep duration was classified as three types: short (< 7 h), normative (7-9 h) and long (≥9 h).

RESULTS

The mean sleep duration was 6.75 ± 1.11 h. Short sleepers had a higher prevalence of chronic diseases, including anemia (6.2%, p = 0.024), gout (2.8%, p = 0.010), hyperlipidemia (3.9%, p = 0.003) and low back pain (5.6%, p = 0.020) than other types of sleeper. Multinomial logistic regression analysis revealed that short sleepers were more likely to have low income level, have depressive symptoms, be ex- or current drinkers and be overweight. Anemia, hyperlipidemia and low back pain were all risk factors for short sleep, while malignant tumor was risky for long sleep.

CONCLUSIONS

Low income level, drinking status, being overweight, and chronic conditions may be associated with aberrant sleep duration in Guangdong province general population. Short sleepers have a higher risk of suffering from anemia, hyperlipidemia, and low back pain, while long sleepers are more likely to have malignant tumor. Health professionals should value the sleep patterns in general health care and attach importance to conduct further epidemiologic surveys to explore the relationship between sleep duration and health.

A systematic review of cigarette smoking trajectories in adolescents

Trajectory analyses differentiate subgroups of smokers based on early patterns of cigarette use, but no study has summarized this literature. We systematically reviewed the literature on adolescent cigarette smoking trajectories to document the number and shapes of trajectories identified, assess if certain study characteristics influence the number or shapes of trajectories identified, summarize factors associated with and outcomes of trajectory group membership, and assess whether the results of trajectory analyses help identify windows of opportunity for intervention. We searched PubMed and EMBASE (1/1/1980 to 1/11/2018) and identified 1695 articles. Forty-three articles with data from 37 unique datasets were retained. Each trajectory was categorized into one of three groups (i.e., low-stable, increasing, other). Number of trajectories ranged from 2 to 6 (mode = 4); 44-76% of participants were low-stable cigarette consumers, 11-21% increased consumption, and 3-11% were categorized as "other." Number of data points, smoking indicator used, and time axis influenced the number of trajectories identified. Only two articles depicted the natural course of smoking since onset. Factors associated with trajectory membership included age, sex/gender, race/ethnicity, parental education, behavior problems, depression, academic performance, baseline cigarette use, parental and friends smoking, alcohol use, and cannabis use. Outcomes included illicit drug and alcohol use. Beyond parsimoniously describing cigarette smoking patterns, it is not clear whether trajectory analyses offer increased insight into the natural course, determinants or outcomes of cigarette smoking in ways that inform the development of intervention.