Objectives:This study aims to assess sleep disorders among secondary school adolescents and explore the relationship between sociodemographic factors(age,gender,household income,and sleep duration)and the occurrence o...Objectives:This study aims to assess sleep disorders among secondary school adolescents and explore the relationship between sociodemographic factors(age,gender,household income,and sleep duration)and the occurrence of these disorders.Methods:A quantitative,descriptive,cross-sectional study,was conducted from November 20th,2022,to May 25th,2023,involving 200 secondary school students selected through convenience sampling.Data collection utilized a structured questionnaire divided into sociodemographic and sleep disorder sections.Validity was ensured by a panel of ten experts,and reliability was confirmed using Cronbach’s Alpha(0.77).Statistical analysis employed SPSS version 26.Results:Findings revealed that a majority of participants(70.5%)had low-level sleep disorders,followed by moderate disorders represented(29%).Significant associations were found between sleep disorders and gender(P=0.000),economic status for family(P=0.020),and nightly sleep duration(P=0.016).However,no significant relationship was observed between sleep disorders and family structure or age(P>0.05).Conclusions:The study highlights that most secondary school students experience mild sleep disorders,followed by moderate disorders.Notably,gender,income,and sleep duration showed significant correlations with sleep disorders.展开更多
Objective: This systematic review examines the impact of lifestyle factors on migraine frequency and severity through a comprehensive analysis of lifestyle factors such as diet, physical activity, sleep patterns, stre...Objective: This systematic review examines the impact of lifestyle factors on migraine frequency and severity through a comprehensive analysis of lifestyle factors such as diet, physical activity, sleep patterns, stress, mental health, and environmental influences. Methods: We thoroughly searched Google Scholar, PUBMED, Scopus, and Web of Science databases using keywords related to migraines and lifestyle factors. Keywords incorporated the Boolean operator “and” to narrow search results. Following the PRISMA guidelines, we identified, screened, and evaluated studies for inclusion, resulting in nine studies meeting the eligibility criteria. Results: A total of 4917 records were initially identified from Scopus (2786), PubMed (854), and Web of Science (1277). Following deduplication, 3657 records underwent title screening, with 382 additionally screened by abstract. Ultimately, 88 full-text articles were assessed, resulting in 9 studies meeting eligibility for qualitative synthesis: 7 prospective and 2 retrospective studies. Our findings highlight the multifaceted role of lifestyle factors in migraine pathophysiology and management. Dietary habits, such as high-calorie, high-fat, and gluten-containing diets were linked to migraine triggers. Moderate physical activity showed beneficial effects on migraine management, while intense exercise could exacerbate symptoms. Poor sleep hygiene and insomnia were strongly associated with increased migraine frequency and severity. Chronic stress and poor mental health significantly contributed to migraine exacerbation, with stress management techniques proving beneficial. Environmental factors, including light, sound, weather changes, and allergens, were also identified as significant migraine triggers. Conclusions: Personalized lifestyle modifications, tailored to individual patient profiles, are crucial in managing migraines. Evidence-based recommendations include balanced diets, moderate physical activity, improved sleep hygiene, stress management techniques, and environmental adaptations.展开更多
Fatigue has negative impacts on the general working population as well as on seafarers. In order to study seafarers’ fatigue, a questionnaire-base survey was conducted to gain information about potential risk factors...Fatigue has negative impacts on the general working population as well as on seafarers. In order to study seafarers’ fatigue, a questionnaire-base survey was conducted to gain information about potential risk factors for fatigue and construct indexes indicating fatigue. The study applies T-test to compare strata of seafarers to analyse work and sleep patterns in global seafaring. Qualitative analysis are also employed to explore the impacts of fatigue on seafarer’s occupational health and safety.展开更多
The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly...The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novel multi-parametric sensing system called sleep pattern recognition system （SPRS）. This system, equipped with a combination of various non-invasive sensors, can mon- itor an elderly user＇s sleep behavior. It accumulates the de- tecting data from a pressure sensor matrix and ultra wide band （UWB） tags. Based on these two types of complemen- tary sensing data, SPRS can assess the user＇s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operates without disrupting the users＇ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.展开更多
文摘Objectives:This study aims to assess sleep disorders among secondary school adolescents and explore the relationship between sociodemographic factors(age,gender,household income,and sleep duration)and the occurrence of these disorders.Methods:A quantitative,descriptive,cross-sectional study,was conducted from November 20th,2022,to May 25th,2023,involving 200 secondary school students selected through convenience sampling.Data collection utilized a structured questionnaire divided into sociodemographic and sleep disorder sections.Validity was ensured by a panel of ten experts,and reliability was confirmed using Cronbach’s Alpha(0.77).Statistical analysis employed SPSS version 26.Results:Findings revealed that a majority of participants(70.5%)had low-level sleep disorders,followed by moderate disorders represented(29%).Significant associations were found between sleep disorders and gender(P=0.000),economic status for family(P=0.020),and nightly sleep duration(P=0.016).However,no significant relationship was observed between sleep disorders and family structure or age(P>0.05).Conclusions:The study highlights that most secondary school students experience mild sleep disorders,followed by moderate disorders.Notably,gender,income,and sleep duration showed significant correlations with sleep disorders.
文摘Objective: This systematic review examines the impact of lifestyle factors on migraine frequency and severity through a comprehensive analysis of lifestyle factors such as diet, physical activity, sleep patterns, stress, mental health, and environmental influences. Methods: We thoroughly searched Google Scholar, PUBMED, Scopus, and Web of Science databases using keywords related to migraines and lifestyle factors. Keywords incorporated the Boolean operator “and” to narrow search results. Following the PRISMA guidelines, we identified, screened, and evaluated studies for inclusion, resulting in nine studies meeting the eligibility criteria. Results: A total of 4917 records were initially identified from Scopus (2786), PubMed (854), and Web of Science (1277). Following deduplication, 3657 records underwent title screening, with 382 additionally screened by abstract. Ultimately, 88 full-text articles were assessed, resulting in 9 studies meeting eligibility for qualitative synthesis: 7 prospective and 2 retrospective studies. Our findings highlight the multifaceted role of lifestyle factors in migraine pathophysiology and management. Dietary habits, such as high-calorie, high-fat, and gluten-containing diets were linked to migraine triggers. Moderate physical activity showed beneficial effects on migraine management, while intense exercise could exacerbate symptoms. Poor sleep hygiene and insomnia were strongly associated with increased migraine frequency and severity. Chronic stress and poor mental health significantly contributed to migraine exacerbation, with stress management techniques proving beneficial. Environmental factors, including light, sound, weather changes, and allergens, were also identified as significant migraine triggers. Conclusions: Personalized lifestyle modifications, tailored to individual patient profiles, are crucial in managing migraines. Evidence-based recommendations include balanced diets, moderate physical activity, improved sleep hygiene, stress management techniques, and environmental adaptations.
文摘Fatigue has negative impacts on the general working population as well as on seafarers. In order to study seafarers’ fatigue, a questionnaire-base survey was conducted to gain information about potential risk factors for fatigue and construct indexes indicating fatigue. The study applies T-test to compare strata of seafarers to analyse work and sleep patterns in global seafaring. Qualitative analysis are also employed to explore the impacts of fatigue on seafarer’s occupational health and safety.
文摘The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novel multi-parametric sensing system called sleep pattern recognition system （SPRS）. This system, equipped with a combination of various non-invasive sensors, can mon- itor an elderly user＇s sleep behavior. It accumulates the de- tecting data from a pressure sensor matrix and ultra wide band （UWB） tags. Based on these two types of complemen- tary sensing data, SPRS can assess the user＇s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operates without disrupting the users＇ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.
