Duration, timing, and consistency of sleep in relation to inflammatory cytokines in Mexican adolescents

Association between Life's Essential 8 score and high-sensitivity C-reactive protein: A cross-sectional study from NHANES 2015-2018

BACKGROUND

Earlier studies showed a negative correlation between life's simple 7 (LS7) and high-sensitivity C-reactive protein (hs-CRP), but no association has been found between life's essential 8 (LE8), an improved version of LS7, and hs-CRP.

HYPOTHESIS

This study investigated the association between LE8 and hs-CRP utilizing data from the National Health and Nutritional Examination Survey.

METHODS

A total of 7229 adults were incorporated in our study. LE8 was scored according to American Heart Association guidelines, and LE8 was divided into health behaviors and health factors. Serum samples of the participants were used to measure hs-CRP. To investigate the association between LE8 and hs-CRP, weighted linear regression, and restricted cubic spline were utilized.

RESULTS

Among 7229 participants, the average age was 48.03 ± 16.88 years, 3689 (51.2%) were females and the median hs-CRP was 1.92 (0.81-4.49) mg/L. In adjusted weighted linear regression, a negative correlation was observed between the LE8 score and hs-CRP. Compared with the low LE8 score, the moderate LE8 score β was -0.533 (-0.646 to -0.420), and the high LE8 score β was -1.237 (-1.376 to -1.097). Health behaviors and health factors were also negatively associated with hs-CRP. In stratified analyses, the negative correlation between LE8 and hs-CRP remained consistent across subgroups.

CONCLUSION

There was a negative correlation between LE8 as well as its sub-indicator scores and hs-CRP. Maintaining a positive LE8 score may be conducive to lowering the level of hs-CRP.

Association of the timing of evening eating with BMI Z-score and waist-to-height ratio among preschool-aged children in Finland

Later timing of eating has been associated with higher adiposity among adults and children in several studies, but not all. Moreover, studies in younger children are scarce. Hence, this study investigated the associations of the timing of evening eating with BMI Z-score and waist-to-height ratio (WHtR), and whether these associations were moderated by chronotype among 627 preschoolers (3-6-year-olds) from the cross-sectional DAGIS survey in Finland. Food intake was measured with 3-d food records, and sleep was measured with hip-worn actigraphy. Three variables were formed to describe the timing of evening eating: (1) clock time of the last eating occasion (EO); (2) time between the last EO and sleep onset; and (3) percentage of total daily energy intake (%TDEI) consumed 2 h before sleep onset or later. Chronotype was assessed as a sleep debt-corrected midpoint of sleep on the weekend (actigraphy data). The data were analysed with adjusted linear mixed effects models. After adjusting for several confounders, the last EO occurring closer to sleep onset (estimate = -0·006, 95 % CI (-0·010, -0·001)) and higher %TDEI consumed before sleep onset (estimate = 0·0004, 95 % CI (0·00003, 0·0007)) were associated with higher WHtR. No associations with BMI Z-score were found after adjustments. Clock time of the last EO was not significantly associated with the outcomes, and no interactions with chronotype emerged. The results highlight the importance of studying the timing of eating relative to sleep timing instead of only as clock time.

Relationship between sleep and serum inflammatory factors in patients with major depressive disorder

BACKGROUND

At present, the relationship between sleep and inflammatory factors is not clear. The aim of this study was to investigate the relationship between specific inflammatory factors and sleep in MDD patients.

METHODS

We measured and compared clinical features and 10 peripheral blood inflammatory factors in 40 MDD patients with sleep disorders, 80 MDD patients without sleep disorders, and 80 healthy controls. Correlation analysis and multiple linear regression analysis were used to explore the relationship between sleep and inflammatory factors.

RESULT

The levels of IL-1β, IL-2, IL-6, IL-8, IL-10, CRP, TNF-α, CXCL-1, CXCL-2, and IFN-γ were different among the three groups(all p<0.05).Poor sleep quality was significantly negatively correlated with IL-2 and IL-8 (all p<0.01), and significantly positively correlated with IL-6, IL-10, CRP, TNF-α, CXCL-1, CXCL-2 and IFN-γ (all p<0.01). IL-8 could significantly negatively predict the deterioration of sleep quality (p<0.001), and TNF-a and IFN-γ could significantly positively predict the deterioration of sleep quality (all p<0.05).

LIMITATIONS

The self-rating scale was used in this study.

CONCLUSIONS

Inflammatory factors are disrupted in patients with sleep disorders. The lower the level of IL-8 in peripheral blood of MDD patients, the higher the TNF-a and IFN-γ, and the worse the quality of sleep.

Associations of social jetlag and insomnia symptoms with depressive symptoms among Chinese adolescents: A large population-based study

OBJECTIVE

This study aimed to evaluate the associations of social jetlag and insomnia symptoms with depressive symptoms among adolescents.

METHODS

A total of 37,871 junior high students completed an online survey between May 24th and Jun 5th, 2022. Insomnia symptoms were assessed by three items based on the Diagnostic and Statistical Manual of Mental Disorders criteria. Social jetlag and depressive symptoms were evaluated by the Munich Chronotype Questionnaire and the Patient Health Questionnaire, respectively. Restricted cubic splines were used to explore the relationship between social jetlag and depressive symptoms. Joint effects of social jetlag and insomnia symptoms on depressive symptoms were estimated using additive interaction models.

RESULTS

The prevalence of depressive symptoms was 13.1%. Depressive symptoms were more common in adolescents with social jetlag ≥2 h (OR: 1.51, 95% CI: 1.39-1.65) and insomnia symptoms (OR: 6.91, 95% CI: 6.41-7.44). There was a J-shaped relationship between social jetlag and depressive symptoms when we took social jetlag as a continuous variable. Moreover, a positive additive interaction of social jetlag ≥2 h and insomnia symptoms on depressive symptoms was found in female adolescents (RERI: 2.30, 95% CI: 0.11-4.49).

CONCLUSIONS

Our findings suggested that social jetlag ≥2 h and insomnia are related to the occurrence of depressive symptoms in adolescents. Their coexistence additively enhances the strength of the association with depressive symptoms. Early screening and intervention for insomnia, as well as methods to reduce social jetlag, should be comprised as part of preventive strategies for depression in adolescents.

Irregular sleep and cardiometabolic risk: Clinical evidence and mechanisms

Sleep regularity is an essential part of the multidimensional sleep health framework. The phenomenon of irregular sleep patterns is widespread in contemporary lifestyles. This review synthesizes clinical evidence to summarize the measures of sleep regularity and discusses the role of different sleep regularity indicators in developing cardiometabolic diseases (coronary heart disease, hypertension, obesity, and diabetes). Existing literature has proposed several measurements to assess sleep regularity, mainly including the standard deviation (SD) of sleep duration and timing, sleep regularity index (SRI), interdaily stability (IS), and social jetlag (SJL). Evidence on associations between sleep variability and cardiometabolic diseases varies depending on the measure used to characterize variability in sleep. Current studies have identified a robust association between SRI and cardiometabolic diseases. In comparison, the association between other metrics of sleep regularity and cardiometabolic diseases was mixed. Meanwhile, the associations of sleep variability with cardiometabolic diseases differ across the population. SD of sleep characteristics or IS may be more consistently associated with HbA1c in patients with diabetes compared with the general population. The association between SJL and hypertension for patients with diabetes was more accordant than in the general population. Interestingly, the age-stratified association between SJL and metabolic factors was observed in the present studies. Furthermore, the relevant literature was reviewed to generalize the potential mechanisms through which irregular sleep increases cardiometabolic risk, including circadian dysfunction, inflammation, autonomic dysfunction, hypothalamic-pituitary-adrenal (HPA) axis disorder, and gut dysbiosis. Health-related practitioners should give more attention to the role of sleep regularity on human cardiometabolic in the future.