OBJECTIVE: To quantify the relationship between social jetlag and CRF, independent of other sleep characteristics.
METHODS: This cross-sectional sample includes 276 New Zealand adolescents (14-18 years, 52.5% female). CRF (VO2max) was estimated from a 20-m multi-stage shuttle run. Average sleep duration, sleep disturbances, social jetlag, physical activity, and the number of bedroom screens were estimated from validated self-report surveys. Social jetlag is the difference in hours between the midpoint of sleep during weekdays (school) and weekend days (free). Combined and sex-stratified linear regression assessed the association between sleep outcomes and CRF, controlling for relevant covariates.
RESULTS: Males slept 17.6 min less, had less sleep disturbances, and a 25.1-min greater social jetlag than their female peers (all p sleep variables, which were not associated with CRF. Sex-specific models indicated an association in males (B -0.93, 95% CI: -1.76, -0.09), but not females (B -0.32, 95% CI: -1.18, 0.55).
CONCLUSIONS: Social jetlag is negatively associated with CRF in adolescent males and may be a simple, measurable target for public health interventions.
METHODS: This was a quasi-experimental study conducted in a tertiary referral hospital. Healthy post-delivery Malaysian mothers were randomly selected and enrolled into the control or the intervention group. On the day of discharge, mothers in the intervention group were interviewed face-to-face in the post-natal ward on their plans for sleeping arrangement with their newborn. After the interview, mothers were advised not to bed share with their newborn and were given an educational leaflet on safe sleeping practices. One week after discharge, mothers in both groups were interviewed over the telephone regarding their actual sleeping arrangements with their newborn using the same questionnaire. Logistic regression was performed to determine factors associated with reduced bed sharing.
RESULTS: A total of 94 mothers and 95 mothers were recruited to the control and intervention group, respectively. The baseline bed-sharing prevalence was similar between groups: 60.6% in the control group and 61.1% in the interventional group. The proportion of mothers who bed shared with their newborn reduced from 61.1 to 37.9% after the intervention (P sleeping practices after receiving the intervention in the form of an information leaflet.
OBJECTIVES: To examine: (i) the relationships between sleep characteristics, including social jetlag, and obesity-related outcomes during childhood, and (ii) whether these relationships are moderated by sex.
METHODS: This cross-sectional study included 381 children aged 9-11 years (49.6% female). Average sleep duration, social jetlag, and physical activity were assessed via wrist-worn accelerometry. Sleep disturbances were quantified from the Children's Sleep Habits Questionnaire. Obesity-related outcomes included age-specific body mass index Z-scores (zBMI) and waist-to-height ratio. Additionally % fat, total fat mass, and fat mass index were assessed via bioelectrical impedance analysis. Linear mixed models that nested children within schools were used to identify relationships among sleep characteristics and obesity-related outcomes.
RESULTS: Positive associations between social jetlag with zBMI, % fat, and fat mass index were seen in univariable and unadjusted multivariable analyses. Following adjustments for known confounders, social jetlag remained significantly associated with zBMI (β = 0.12, p = 0.013). Simple slopes suggested a positive association in girls (β = 0.19, p = 0.006) but not in boys (β = 0.03, p = 0.703).
CONCLUSIONS: Obesity prevention efforts, particularly in girls, may benefit from targeted approaches to improving the consistency of sleep timing in youth.
Case Report: We reported the case of a young male presented with the symptoms of non-specific chronic adenotonsillitis, mild obstructive sleep apnoea, and cervical lymphadenopathy. Subsequently, he underwent adenotonsillectomy and excision of the cervical lymph node with the tissue specimens came back strongly positive for TB. Then, he started using antituberculous medication and recovered well.
Conclusion: The authors would like to highlight this rare clinical entity in which accurate diagnosis is essential for complete treatment.