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1.
Duration of sleep depending on the type of shift work   总被引:3,自引:0,他引:3  
Summary Time budget studies were performed in eight groups of shift workers. The 9,480 diary records of altogether 1,230 shift workers were analyzed and related to corresponding shift types. The shortest night sleep was found before the morning shift (mean 7.0 h). There were large differences in the duration of day sleep when classifying this sleep into specific types, as day sleep before 1st night shift (mean 2.1 h), between two night shifts (mean 6.1 h), or after last night shift (mean 4.2 h). Average sleep durations of five kinds of day sleep and 12 kinds of night sleep are presented together with 14 frequency distributions of durations of sleep.It is concluded that there should not be many night shifts in succession and that morning shifts should not begin too early to avoid an accumulation of sleep deficits.Dedicated to Dr. H. Loskant on the occasion of his 65th birthday  相似文献
2.
睡眠时间与2型糖尿病罹患风险之间关系的随访研究   总被引:1,自引:0,他引:1  
[目的]探讨南京市居民睡眠时间与2型糖尿病(T2DM)发生风险的关系。[方法]社区为基础的人群随访研究,2004年7月对多阶段随机抽取的南京市3个城区和1个郊县社区里常住的35岁以上居民进行基线调查,对无T2DM的人群开展为期3年的随访,于2007年7月进行评估调查。采用多因素Logistic回归方法分析睡眠时间与罹患T2DM风险之间的关联。[结果]剔除基线时T2DM、肿瘤患者,合格的随访样本人群为3727名,3年后共随访到3031名,随访率为81.3%。3年内新确诊的T2DM患者为76人,累计发病率为2.5%;男女发病率无统计学差异(2.5%vs.2.6%)。居民平均每天睡眠时间为7.2h,睡眠时间不足(﹤7h/d)和过长(≥9h/d)的比例分别为24.8%、7.5%。与睡眠时间7h/d相比,睡眠时间不足和过长人群罹患T2DM风险均是其2倍左右;但仅有睡眠不足对T2MD的罹患风险的影响差异有统计学意义(RR=1.83,95%CI:1.12~2.99)。经多因素调整后,睡眠时间﹤7h/d者发生T2DM的风险仍显著高于7~8h者(RR=1.71,95%CI:1.04~2.82);进一步调整基线时BMI和高血压病史,睡眠时间不足人群罹患T2DM风险有所降低,但差异仍有统计学意义(RR=1.68,95%CI:1.02~2.76)。[结论]睡眠时间不足可增加罹患T2DM的风险。睡眠时间可能是T2DM的危险因素之一。  相似文献
3.

Objective

We aimed to analyse the prevalence of having multiple lifestyle risk behaviours (LRB) and the potential relationship between excess weight (including overweight and obesity) and cumulative multiple LRB among adolescents in Barcelona, Spain.

Methods

A cross-sectional study was performed among a representative sample of 3,114 secondary school students in Barcelona. Height and weight were objectively measured and excess weight was defined in accordance with World Health Organization criteria. Information on screen time, breakfast, physical activity and sleep duration was obtained through a self-administered questionnaire.

Results

More than 80% of the students had at least two LRBs. In compulsory schooling, the adjusted prevalence ratio (aPR) of excess weight increased with a higher number of reported LRBs (four LRBs: aPR = 1.56; 95% confidence interval: 1.19-2.05).

Conclusions

These results highlight the importance of a multiple-behaviour approach in preventive programmes aimed at reducing adolescent obesity.  相似文献
4.
Little research investigates whether sleep mediates the adverse effect of perceived discrimination on health and even less is known about whether sleep quality and sleep duration mediate the relationships in the same fashion. We applied a recently developed mediation analysis approach to a survey administered in 2008 in Philadelphia, PA, that includes 9042 adults. Health was measured with self-rated health, stress, and mental illness. Perceived discrimination was operationalized with self-reported discriminatory experience in two social contexts, namely health care system and housing market. Sleep quality and duration were measured with a five-point Likert scale and the self-reported sleep time at night, respectively. After controlling for one’s demographic, socioeconomic, and health-related characteristics, the mediation analysis quantified how much sleep quality and duration can account for the effect of perceived discrimination on these health outcomes. The key findings are: (a) sleep quality and duration accounted for approximately 15 to 25 % of the adverse effect of perceived discrimination. (b) Sleep quality is more important than sleep duration in mediating the relationship between perceived discrimination and health. (c) The proportion of the effect mediated by sleep differs by the social context where perceived discrimination occurred. It was confirmed that sleep mediates the relationship between perceived discrimination and health and the interventions to improve sleep, particularly sleep quality, should help to attenuate the effect of perceived discrimination on health.  相似文献
5.
In our study, we hypothesized that higher caffeine intake would be associated with lower sleep duration among 13-year-old adolescents. In addition, we aimed to identify food sources of caffeine intake in this sample. Eligible participants were adolescents who were born in 1990 and attended school in Porto, Portugal, in 2003/2004. Self-administered questionnaires were used, and diet was evaluated using a food frequency questionnaire. From the 2160 eligible participants, only 1522 with valid information regarding their diet were included in this study. In our sample, the median intake of caffeine was 23.1 mg/d, with soft drinks being the major source. Ice tea presented the highest median (25th-75th percentiles) contribution (33.1% [14.0-52.1]), followed by cola (21.1% [6.4-37.6]). Regarding cocoa products, chocolate bars presented a median contribution of 5.1% (1.0-14.0), and snacks containing chocolate had a contribution of 3.0% (0.5-7.2). Coffee and tea presented a negligible contribution. Adolescents who reported less sleep duration and those who spent more time watching TV during the weekend had a significantly higher caffeine intake. Overall, boys had higher intakes of caffeine from soft drinks, and private school attendees, those who had parents with more education, who reported less television viewing time and had lower body mass index presented higher intakes of caffeine from chocolate. Considering sleeping more than 9.5 hours as a reference class, for each increase of 10 mg/d in caffeine intake, we found that the odds ratio of sleeping 8.5 hours or less was 1.12 (95% confidence interval, 1.06-1.19). Our results support the hypothesis that caffeine intake was inversely associated with sleep duration in adolescents.  相似文献
6.
Ray C  Roos E 《Appetite》2012,58(1):326-332
Lifestyle-related health behaviours such as screen time, physical activity, sleep duration, and food intake tend to change into non-favourable directions when children become young adolescents. Cross-sectional studies show that family characteristics are important determinants for children’s health behaviours. This study examined whether family characteristics such as parenting practices at meals and family involvement predict a more favourable change in children’s lifestyle-related health behaviours during an 18-month follow-up. 745 children in school grades 4 and 5 (response rate 65%) filled in a baseline questionnaire in the autumn of 2006. A follow-up was conducted in the spring of 2008 (91%). Several health behaviours had changed in a non-favourable direction. Baseline parenting practices at meals and family involvement predicted some of the changes in the lifestyle-related health behaviours in 2008. Parenting practices at meals predicted a smaller increase in TV, DVD viewing time, and a smaller decrease in fruit intake. Amongst family involvement determinants, less time alone at home after school predicted a smaller increase in screen time, a smaller decrease in sleep duration, and a smaller increase in soft drink intake. For conclusion several family characteristics predicted favourable changes in children’s lifestyle-related health behaviours.  相似文献
7.

Background & aims

Short sleep duration in early childhood may increase the risk for chronic diseases in later life. Strategies to improve sleep duration are thus of interest. We investigated whether the nutritional composition of the evening meal is associated with children’s sleep duration in the 2nd year of life.

Methods

Multivariable regression models included 594 participants of the DONALD Study with 3-days weighed dietary records and average daily sleep duration at age 1.5 and 2 years.

Results

Higher energy intakes with the evening meal were associated with a longer sleep duration (1 min/10 kcal, p = 0,01). With respect to absolute intakes, carbohydrates (0.8 min/g, p < 0.0001), especially from high GI foods (1.3 min/g, p < 0.01), and a higher GL (1.5 min/g GL, p < 0.01) were accompanied by longer sleeping time. A qualitative exchange of energy from protein by energy from carbohydrates from high GI foods was only associated with increased sleep duration in toddlers without (1.9 min/%E, p < 0.05), but not with nightly eating occasions (p > 0.4).

Conclusions

The observed associations are in line with suggested sleep-improving effects of carbohydrates. Effect sizes suggest that the clinical relevance of nutritional composition for sleep duration is limited in healthy young toddlers. These observations and their possible importance for more vulnerable groups need to be confirmed in clinical trials.  相似文献
8.
目的探讨睡眠时间与肥胖发生风险的关系。方法2004年7月采用多阶段分层随机整群抽样方法对南京市3个城区和1个郊县社区里常住的35岁以上居民进行基线调查,对其中非肥胖[体质指数(BMI)〈28kg/m^2]人群开展为期3年的随访,于2007年7-10月进行评估调查。采用多元线性回归和多元Logistic回归分析睡眠时间与罹患肥胖风险之间的关联。结果剔除基线调查时筛查出的肥胖人群(BMI≥28kg/m^2)后,样本人群为3936名,3年后共随访到2837名,随访率为72.1%。3年内新发生的肥胖患者为78人,累计发病率为2.7%。男女发病率(分别为2.3%和3.2%)差异无统计学意义。居民平均睡眠时间为7.2h,睡眠时间不足(〈7h/d)和过长(≥9h/d)的比例分别为25.4%和7.3%。与睡眠时间为8h/d相比,睡眠时间不足罹患肥胖风险是其约2倍,睡眠过长是其1.5倍;但睡眠不足差异有统计学意义(P〈0.05);调整了年龄和其他协变量后,睡眠时间≤5h和6h者发生肥胖的风险仍显著高于8h/d者(调整RR值分别为2.382,95%CI:1.121~5.063;2.072,95%CI:1.064~4.035);进一步调整基线腰围(WC)和臀围(HC),睡眠时间不足人群罹患肥胖风险有所降低,但差异仍有显著性(ρ〈0.05)。结论睡眠时间不足和过长均增加罹患肥胖的风险。睡眠时间可能是肥胖的危险因素之一。  相似文献
9.
目的 探讨睡眠时间与肥胖儿童代谢综合征(MS)的关系.方法 对311例肥胖儿童分别记录睡眠时间及测定空腹血糖(FBG)、血脂、血压、BMI等有关MS的诊断指标,并根据睡眠时间(<8h、8 h~、9h~、≥10h)分为4组进行比较分析,将MS作为反应变量、睡眠时间作为自变量,正常BMI儿童作为对照,进行多分类无序反应变量的logistic回归分析结果 每天睡眠时间<8 h的肥胖儿童与每天睡眠时间≥10h的肥胖儿童比较.各项MS组分测定值(BMI、血压、血脂、FBG)差异有统计学意义(P<0.05),MS及血压、空腹胰岛素、BMI异常(≥30kg/m2)发生率的差异也有统计学意义(P<0.05);通过多分类无序反应变量的logistic回归分析发现睡眠时间减少是肥胖儿童发生MS的危险因素.结论 睡眠不足是肥胖儿童发生MS的重要影响因素.  相似文献
10.
Research associates short (and to a lesser extent long) sleep duration with obesity, diabetes, and cardiovascular disease; and although 7–8 h of sleep seems to confer the least health risk, these findings are often based on non-representative data. We hypothesize that short sleep (<7 h) and long sleep (>8 h) are positively associated with the risk of obesity, diabetes, hypertension, and cardiovascular disease; and analyze 2004–2005 US National Health Interview Survey data (n = 56,507 observations, adults 18–85) to test this. We employ multilevel logistic regression, simultaneously controlling for individual characteristics (e.g., ethnoracial group, gender, age, education), other health behaviors (e.g., exercise, smoking), family environment (e.g., income, size, education) and geographic context (e.g., census region). Our model correctly classified at least 76% of adults on each of the outcomes studied, and sleep duration was frequently more strongly associated with these health risks than other covariates. These findings suggest a 7–8 h sleep duration directly and indirectly reduces chronic disease risk.  相似文献
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