Background: Several environmental factors affect sleep. We investigated the sleep and sleep-related habits of preschool children living in Tibet and conducted an international comparison with those in Japan.
Methods: We conducted a community-based cross-sectional study using the Chinese version of the Japanese Sleep Questionnaire for Preschoolers (JSQ-P-C) and compared the results with previous data on Japanese children.
Results: The sleep status of 3113 children aged 3-6 years old in Qinghai province was evaluated. The average wake time and bedtime of the Tibetan children were 7:20 ± 0:31 and 21:16 ± 0:43, respectively. Their mean nocturnal sleep duration was 10.0 ± 0.7 h. In comparing 3-year-old children, the time for which they viewed TV in Tibet was shorter (65.5 ± 44.6 min) than that in Japan (149.7 ± 76.6 min), and the mother's bedtime was earlier in Tibet (21:28 ± 2:14) than in Japan (23:20 ± 1:05). However, the bedtime and sleep duration of the Tibetan children (21:17 ± 0:37 and 10.0 ± 0.7 h) were fairly similar to those of the Japanese children (21:24 ± 1:57 and 9.8 ± 0.8 h).
Conclusions: The late bedtime and short nocturnal sleep duration of Tibetan toddlers were the same as those of Japanese toddlers despite considerable differences in their lifestyle and environment.
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http://dx.doi.org/10.3390/clockssleep6040046 | DOI Listing |
PLoS One
January 2025
School of Human Nutrition, McGill University, Montreal, Québec, Canada.
Objective: Managing blood glucose levels is challenging for elite athletes with type 1 diabetes (T1D) as competition can cause unpredictable fluctuations. While fear of hypoglycemia during physical activity is well documented, research on hyperglycemia-related anxiety (HRA) is limited. HRA refers to the heightened fear that hyperglycemia-related symptoms will impair functioning.
View Article and Find Full Text PDFSleep Epidemiol
December 2024
Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Objective: To examine longitudinal associations between self-reported sleep disturbances and mobility disability progression among women, including subgroups with multiple sclerosis (MS), diabetes, and osteoarthritis (OA).
Methods: Prospective cohort study using data from Nurses' Health Study long-form questionnaires (2008, 2012, 2014, 2016). Logistic regression was used to quantify associations between sleep-related variables at baseline and subsequent increase in mobility disability.
Sleep Breath
January 2025
Akureyri Junior College, Akureyri, Iceland.
Objectives: Sleep is often compromised in adolescents, affecting their health and quality of life. This pilot-study was conducted to evaluate if implementing brief-behavioral and sleep-hygiene education with mindfulness intervention may positively affect sleep-health in adolescents.
Method: Participants in this community-based non-randomized cohort-study volunteered for intervention (IG)- or control-group (CG).
Br J Health Psychol
February 2025
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland.
Objectives: The associations between individual lifestyle behaviours and well-being are still poorly understood, particularly in the antenatal period when women are exposed to physiological changes and increased psychological distress. A healthy lifestyle score (HLS) comprising protective lifestyle behaviours may be useful for studying links between overall lifestyle and psychosocial outcomes. This study aimed to examine bidirectional associations between a HLS and its components and psychological well-being in pregnant women with overweight/obesity.
View Article and Find Full Text PDFAm J Hum Biol
January 2025
Research Centre for Anthropology and Health, University of Coimbra, Coimbra, Portugal.
Objectives: This study aimed to (i) compare children's lifestyle by urbanization level and (ii) examine the association between children's body mass index (BMI) and the risk of having unhealthy sleep (American Academy of Pediatrics).
Methods: Eight thousand one hundred fifty-nine children (4124 females) aged 6-9 years were observed and classified as urban or nonurban. Height and weight were measured, and the BMI was calculated.
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