A Comparison of Physical Activity Levels, Sleep Disrupting Behavior, and Stress/Affective Distress as Predictors of Sleep as Indexed by Actigraphy.

BACKGROUND: Several behaviors have been reported to interfere with sleep in otherwise healthy adults, including low physical activity (PA) levels. However, few studies have compared low PA with the other behavioral risk factors of objective sleep impairment, despite the behavior tending to cooccur in highly stressed and affectively distressed individuals. Thus, the authors compared objective and subjective measures of PA and other potential sleep disrupting behaviors as predictors of objective sleep (sleep onset latency, actual sleep time, total sleep duration, awake time, and sleep efficacy) at baseline (T1) and 3 months later (T2). METHODS: A community-derived sample of 161 people aged 18-65 years were asked about PA, other behavior (ie, night eating, electronic device use, watching television, caffeine and alcohol use), stress, affective distress (ie, anxiety, depression), and demographics including shift work and parenting young children in an online questionnaire at T1 and T2. PA and sleep were also monitored for 24 hours each at T1 and T2 using actigraphy. RESULTS: Multiple regression analyses indicated that sleep at T1 was associated with PA (ie, total number of steps, metabolic equivalents/time, time spent travelling) after controlling mean ambient temperature and relevant demographics. At T2, longer sleep onset latency was predicted by parenting young children and night time television viewing; shorter sleep duration was predicted by female gender; and awake time and sleep efficacy were predicted by alcohol intake after controlling T1 sleep measures, demographics, and mean ambient temperature. CONCLUSION: The risk factors for objective sleep impairment included parenting young children and watching television at night, whereas better sleep outcomes were associated with greater engagement with PA.

Different relationship between anthropometric markers and umbilical cord plasma leptin in Asian and Caucasian neonates.

The leptin to fat ratio early in life could contribute to fixing the set point of leptin feedback at the hypothalamic level. Subjects from Asian and Caucasian ethnicities differ in body composition. We tested the hypothesis that anthropometric markers and their relationship to umbilical cord leptin, cortisol and cortisone, DHEAs and oestriol differed between Caucasians and Asians at birth. Birthweight, length, arm, calf and abdominal circumferences, scapular, triceps, quadriceps and abdominal skinfolds were measured in 180 healthy, full-term newborns of Asian and Caucasian ethnicities. Leptin and steroid hormone concentrations were determined in umbilical cord plasma. There was a significant difference in the slope of the regression between leptin and birthweight (p = 0.03) and calf circumference (p = 0.05) between male Caucasian and Asian neonates. In contrast, in female neonates, there was no significant difference (p = 0.099 and p = 0.07 for birthweight and calf circumference, respectively). In addition, while the slopes of the regression plots were not affected by gender in Asian newborns, there was a significant difference between male and female Caucasian newborns (p = 0.006 and p = 0.002 for birthweight and calf circumference, respectively). There was no significant correlation between cord leptin concentrations or anthropometric markers and steroid hormone concentrations. In conclusion, gender and ethnic differences in the relationship between leptin and anthropometric markers are detectable at birth between Asians and Caucasians, two ethnic groups that have been demonstrated to have different body compositions later in life. This may represent the first clinical evidence of a difference in leptin regulation between these two ethnic groups.