0北京治疗失眠症疾病的中医,early to bed歌词 and early to rise 0

【图文】Unit5 Health健康_百度文库
两大类热门资源免费畅读
续费一年阅读会员,立省24元!
评价文档:
Unit5 Health健康
上传于||暂无简介
大小:2.03MB
登录百度文库,专享文档复制特权,财富值每天免费拿!
你可能喜欢Early to bed and early to rise makes a man healthy, wealthy and wise. 早睡早起身体好。_英语谚语_民间谚语_911查询
输入最短的关键字,如瘦死的骆驼比马大,输入骆驼后按Enter即可
Early to bed and early to rise makes a man healthy, wealthy and wise. 早睡早起身体好。/MTRjOA==.html
(共21个) 站长工具:
(共9个) 交通出行:
(共11个) 休闲娱乐:
(共8个) 民俗文化:
(共15个) 学习应用:
(共25个) 身体健康:
(共12个) 占卜求签:
911查询官方微信关注 ww911cha英语提问0 - 解决时间: 17:53Early to bed and early to rise makes you healthy and wise去掉“and wise”可以吗?我觉得“and wise”是多余的.
早睡早起不会让人变得聪明,只能让身体健康,明白吗?是意思不符合常识
为您推荐:
其他类似问题
不可以是"聪明"
聪明与健康是并不重复的两个意思
可以,wise是聪明的意思,这里用的不对
扫描下载二维码Early to bed,early to rise,makes a man healthy an_百度知道
Early to bed,early to rise,makes a man healthy an
early to rise?是一个颜语,makes a man healthy and clever什么意思Early to bed
您的回答被采纳后将获得:
系统奖励20(财富值+经验值)+难题奖励20(财富值+经验值)
我有更好的答案
使人健康,early to rise,早起,makes a man healthy and clever早睡Early to bed
Early to bed,early to rise,makes a man healthy and clever早睡早起,使人健康和聪明
其他类似问题
为您推荐:
等待您来回答
下载知道APP
随时随地咨询
出门在外也不愁PMCID: PMC1660602AuscultationsEarly to bed and early to rise: Does it matter?,* ,† and
*‡ This article has been
other articles in PMC.BackgroundControversy remains about whether early to bed and early to rise makes a man healthy, wealthy and wise (the Ben Franklin hypothesis), or healthy, wealthy and dead (the James Thurber hypothesis).MethodsAs part of the Determinants of Myocardial Infarction Onset Study, we determined through personal interviews the bedtimes and wake times of 949 men admitted to hospital with acute myocardial infarction. Participants reported their educational attainment and zip code of residence, from which local median income was estimated. We followed participants for mortality for a mean of 3.7 years. We defined early-to-bed and early-to-rise respectively as a bedtime before 11 pm and wake time before 6:30 am.ResultsHours in bed were inversely associated with number of cups of coffee consumed (age-adjusted Spearman correlation coefficient r &#x, p = 0.03). The mortality of early-to-bed, early-to-risers did not differ significantly from other groups. There was also no relation between bed habits and local income, nor with educational attainment.InterpretationOur results refute both the Franklin and Thurber hypotheses. Early to bed and early to rise is not associated with health, wealth or wisdom.The Onset Study was conducted in 45 community and tertiary care medical centres in the US. Between 1989 and
patients (601 women and 1334 men) were interviewed a median of 4 days after sustaining an AMI. For inclusion, patients were required to have a creatine kinase level above the upper limit of normal for each centre, positive MB isoenzymes, an identifiable onset of symptoms of AMI and the ability to complete a structured interview. For these analyses, we excluded 445 participants due to incomplete information on sleep and wake times. To avoid confounding by night shift labour, we also excluded 87 participants with wake times earlier than 4 am or later than noon, or bedtimes earlier than 6 pm or later than 4 am. Of the remaining 1403 participants, the 949 men were the focus of our analyses. The institutional review board of each centre approved this protocol, and each participant gave informed consent.Trained interviewers used a structured data abstraction and questionnaire form that queried participants on a range of characteristics potentially associated with AMI, including age, sex, ethnic origin, education, marital status, medical history, use of caffeine, alcohol and cigarettes, and medication use (both prescription and nonprescription).Sleep habits were assessed with specific questions regarding the timing of onset of AMI symptoms. Participants reported their usual weekday wake time. As a measure of usual bedtime, participants reported the time that they went to bed and the time that they fell asleep on the last night before the onset of any cardiac symptoms. To test the Franklin–Thurber hypotheses directly, bedtimes, rather than sleep times, were used. Based upon the distributions of bedtimes and wake times in the Onset Study population, we considered participants who reported a bedtime earlier than 11 pm to be early to bed, and those who reported a usual wake time earlier than 6:30 am to be early to rise.To estimate wisdom, we asked patients to report their educational attainment in years of schooling. In addition to formal schooling, we included years of education spent in apprenticeships or dedicated technical programs leading to certification or licensure (e.g., radio communications or judicial stenography). We subsequently grouped education as less than high school, completion of high school (or the equivalent) and some college, as in previous work. As a measure of wealth, we used 1990 US census data to derive median household income from US Postal Service zip codes.We searched the National Death Index for deaths of Onset Study participants through 1995 and requested death certificates from state offices of vital records for all probable matches, using a previously validated algorithm. Three physicians independently verified the determination of each death. Disagreements among raters were resolved by discussion.We tested contingency tables with χ2 tests and means with analysis of variance. In age-adjusted models, we regressed indicator variables for early–late, late–early, and late–late bed and wake times against outcomes of total mortality (in Cox proportional-hazards models), income (in linear regression models) and education (in ordinal logistic regression models). The proportional hazards assumption was found to be satisfied with use of time-varying covariates. The score test was used to confirm the proportional odds assumption of the ordinal logistic model. No resea the authors keep sleeping through grant deadlines.Patient characteristics shows the characteristics of male Onset Study participants according to bed and wake habits. Early risers tended to be younger than late risers. Hours in bed were similar among those whose bedtimes and wake times were both early or both late. Hours in bed were inversely associated with usual number of cups of coffee consumed (age-adjusted Spearman correlation coefficient r
&#x, p = 0.03). Although men who were early to bed and early to rise were most likely to be married (an ambiguous measure of wisdom), this difference was not significant (p = 0.32).Table 1HealthyA total of 152 men died during a median of 3.7 years of follow-up.
shows the relation of sleep habits to total mortality. No sleeping pattern differed significantly from the mortality of early-to-bed, early-to-risers. Additional adjustment for marital status did not affect these results, although married men had substantially lower age-adjusted mortality than unmarried men (hazard ratio 0.6, 95% confidence interval 0.4&#x), suggesting that marriage may be a useful measure of wisdom after all. The mortality difference between early and late wake times among participants who went late to bed was of borderline significance (p = 0.04).Table 2Wealthy shows the relation of sleep habits to income, estimated as the median income by zip code of residence. There was no relation evident in age-adjusted analyses.WiseLastly,
shows the relation of sleep habits to educational attainment. Individuals who were early to bed and rose late (i.e., the slackers) tended to have the lowest educational attainment (mean difference relative to early-to-bed and early-to-rise &#x years, 95% confidence interval &#x to &#x), but the other groups did not differ significantly from the early-to-bed and early-to-rise group.Our results do not support the parallel Franklin and Thurber hypotheses that the timing of sleeping or awakening influence health, wealth or wisdom among men, whether positively or negatively. The Franklin hypothesis argues that individuals who enter their beds for sleep and awaken earliest have multiple health and material advantages. It should be noted that Franklin, a polymath but nevertheless a successful politician, had no formal medical training yet remarkable clinical intuition. In the year following exposition of his sleep hypothesis, Franklin noted that “God heals, and the Doctor takes the Fees.” In the same year, he also expounded sound nutritional advice regarding both obesity and marine long-chain fatty-acid intake: “I saw few die of Hunger, of Eating 100 000” and “Marry your Daughter and eat fresh Fish betimes.”In contrast, Thurber's hypothesis appears to have been driven largely by his own experience. He notes, “I used to wake up at 4 A.M. and start sneezing, sometimes for five hours. I tried to find out what sort of allergy I had but finally came to the conclusion that it must be an allergy to consciousness.” However, in other scientific matters, Thurber appears to have possessed insight nearly that of Franklin's. A brief perusal of the medical literature suggests that his advice regarding scientific publication — “Don't get it right, just get it written” — has, alas, gained widespread, if unrecognized, adoption.We acknowledge several limitations of our work. First, we enrolled a population of AMI patients and, thus, none can truly be considered healthy. However, none of us is really all that healthy anyway. Second, due to our own lack of wisdom, we know of no reliable and validated instr education is but an ill-schooled substitute. Third, we had no measures of personal income, and thus these analyses test the rather oblique hypothesis that early-to-bed and early-to-rise makes a man's locale of residence wealthy.In conclusion, we found no evidence to support the Franklin or Thurber hypotheses that sleep habits dictate health, wealth or wisdom, either for the good or the bad. Further research remains necessary to determine whether Franklin's (“He that lives upon Hope, dies farting”) or Thurber's (“It is better to have loafed and lost, than never to have loafed at all”) other hypotheses fare better under formal scrutiny.Kenneth J. Mukamal Department of Medicine, Beth Israel Deaconess Medical Center Gregory A. Wellenius Department of Environmental Health Murray A. Mittleman Department of Epidemiology, Harvard School of Public Heath, Department of Medicine, Beth Israel Deaconess Medical Center Boston, Mass.Photo by: istockThis article was peer reviewed by someone. Peggy? You read this, right?1. Kryger MH. Fat, sleep, and Charles Dickens: literary and medical contributions to the understanding of sleep apnea. Clin Chest Med -62.
[]2. Michalopoulos A, Tzelepis G, Geroulanos S. Morbid obesity and hypersomnolence in several members of an ancient royal family. Thorax -2. []
[]3. Franklin B. Poor Richard's almanack. Philadelphia: B. Franklin and D. H 1735.4. Thurber JG. The shrike and the chipmunks. New Yorker, 1939 Feb 18.5. Liu X, Liu L. Sleep habits and insomnia in a sample of elderly persons in China. Sleep 9-87.
[]6. Mathers CD, Sadana R, Salomon JA, et al. Healthy life expectancy in 191 countries, 1999. Lancet 5-91.
[]7. Gale C, Martyn C. Larks and owls and health, wealth, and wisdom. BMJ 5-7. []
[]8. Mittleman MA, Maclure M, Tofler GH, et al. Triggering of acute myocardial infarction by heavy physical exertion. Protection against triggering by regular exertion. Determinants of Myocardial Infarction Onset Study Investigators. N Engl J Med 7-83.
[]9. Mukamal KJ, Muller JE, Maclure M, et al. Evaluation of sex-related differences in survival after hospitalization for acute myocardial infarction. Am J Cardiol -71.
[]10. Mittleman MA, Maclure M, Nachnani M, et al. Educational attainment, anger, and the risk of triggering myocardial infarction onset. The Determinants of Myocardial Infarction Onset Study Investigators. Arch Intern Med -75.
[]11. Stampfer MJ, Willett WC, Speizer FE, et al. Test of the National Death Index. Am J Epidemiol -9.
[]12. Ng'andu NH. An empirical comparison of statistical tests for assessing the proportional hazards assumption of Cox's model. Stat Med -26.
[]Articles from CMAJ : Canadian Medical Association Journal are provided here courtesy of Canadian Medical Association&

我要回帖

更多关于 early to bed 的文章

 

随机推荐