The Relation Between Cigarette Smoking and Sleep Disturbance

Wetter, David W.; Young, Terry

doi:10.1006/pmed.1994.1046

Cited by 274 publications

(202 citation statements)

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“…Unlike some studies showing a positive relationship between smoking and sleep disturbances (13)(14)(15), this study revealed only a weak relationship between the two. The same was true of the relationship between drinking and sleep disturbances.…”

Section: Discussioncontrasting

confidence: 99%

Sleep Duration, Subjective Sleep Disturbances and Associated Factors Among University Students in Korea

Ban

Lee

2001

J Korean Med Sci

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Objective of this study was to look into sleep patterns of university students in association with their lifestyle, specifically to examine mean sleep duration, prevalence of sleep disturbances and their correlates. This study also aimed to examine a possible association of sleep patterns of young adults with new media like computers and videos, which were supposed to have a great influence on their lifestyle. Self-reported sleep data were derived from questionnaires administered to a total of 1,414 students of one university located in Chullabuk-do, Korea. Statistical methods such as t-test, analyses of variance, chi-square test and multivariate logistic regression were used for analysis. The mean sleep duration of the respondents was 6.7+/-1.3 hr. Of the respondents, 30.2% reported having insufficient sleep. About one third of them pointed to visual media including computers as the primary reason. The proportion of those having some types of sleep disturbances was 36.2%. The risk of subjective sleep disturbances was significantly lower among those perceiving themselves healthy than among those perceiving themselves unhealthy (OR=0.44; 95% CI: 0.34-0.57).

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Section: Discussioncontrasting

confidence: 99%

Sleep Duration, Subjective Sleep Disturbances and Associated Factors Among University Students in Korea

Ban

Lee

2001

J Korean Med Sci

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“…These findings are consistent with those reported by Krueger and Friedman (2009) (see Table 4), and are supportive of several smaller scale and less comprehensive studies (Wetter and Young, 1994, Patel et al, 2006a, Patel et al, 2006b, Ferrie et al, 2007, Nunes et al, 2008, Stranges et al, 2008and Krueger and Friedman, 2009). …”

Section: Discussionsupporting

confidence: 92%

Factors associated with short and long sleep

Magee

Iverson

Caputi

2009

Preventive Medicine

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Objective: Short (< 7 h) and long sleep durations (≥ 9 h) have recently been linked with increased mortality in the US, Europe and Asia, but little is known about the sleep patterns of Australian adults. The present study examined the sleep habits of Australian adults and identified socio-demographic and health-related factors associated with short and long sleep. Methods: This study analyzed cross-sectional and self-reported data from 49,405 Australian adults aged 45 to 65 years collected between 2006 and 2008. Socio-demographic and health-related factors were entered into multinomial logistic regression models predicting self-reported sleep duration. Results: Short and long sleep were reported by 16.6% and 13.9% of participants respectively. Short sleep was associated with long working hours (odds ratio [OR] = 1.17, 95% confidence interval (CI): 1.08, 1.28) and obesity (OR = 1.29, 95% CI: 1.19, 1.41); long sleep was associated with recent treatment for cancer (OR = 1.64, 95% CI: 1.34, 2.02) and heart attack/angina (OR = 1.58, 95% CI: 1.19, 2.09). Conclusions: Short and long sleep were common in this sample of middle aged Australian adults. The determinants of short sleep have potential public health implications and could be targeted to prevent morbidity and mortality associated with short sleep. confidence interval (CI): 1.08, 1.28) and obesity (OR = 1.29, 95% CI: 1.19, 1.41); long sleep was associated with recent treatment for cancer (OR = 1.64, 95% CI: 1.34, 2.02) and heart attack/angina (OR = 1.58, 95% CI: 1.19, 2.09). Conclusions: Short and long sleep were common in this sample of middle aged Australian adults. The determinants of short sleep have potential public health implications and could be targeted to prevent morbidity and mortality associated with short sleep.

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“…This result was contradicted to the finding in healthy adolescents and adults who had been reported with sleep disturbances after tobacco exposure. [60][61][62][63][64] There was no significant correlations between the insomnia score and the plasma cotinine concentration (KruskalWallis test P ¼ 0.173; data not shown) in the cohort unless the involvement of OPRM1 genetic polymorphism. We therefore consider that the plasma cotinine concentration may be helpful in reducing the methadone-induced insomnia side effect through OPRM1 receptor.…”

Section: Discussionmentioning

confidence: 88%

OPRM1 genetic polymorphisms are associated with the plasma nicotine metabolite cotinine concentration in methadone maintenance patients: a cross sectional study

et al. 2012

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Majority of the heroin-dependent patients smoke cigarettes. Although it has been reported that the OPRM1 genetic polymorphism is associated with the brain mu-opioid receptor binding potential in cigarette smokers, there is no direct evidence showing the impact of plasma cotinine, a nicotine metabolite, on treatment responses to methadone maintenance treatment (MMT). In this study, we aimed to test the hypothesis that the genetic polymorphisms in the OPRM1 are associated with the methadone treatment responses and the severity of cigarette smoking directly measured by the plasma concentration of cotinine in a Taiwanese MMT cohort. Fifteen OPRM1 single-nucleotide polymorphisms (SNPs) were selected and genotyped on DNA samples of 366 MMT patients. Plasma concentrations of cotinine were measured by cotinine enzyme-linked immunosorbent assay. The plasma cotinine concentration had positive correlation with concentrations of methadone (P ¼ 0.042) and its metabolite 2-ethylidene-1,5-dimethyl-3,3-diphenyl-pyrrolidine (P ¼ 0.037). Methadone treatment non-responders, defined by a positive urine morphine test, had a higher plasma concentration of cotinine (P ¼ 0.005), but a lower plasma concentration-todose ratio of both R-and S-methadone (P ¼ 0.001 and 0.012, respectively) than the responders. OPRM1 genetic variants, rs1074287, rs6912029, rs1799971, rs12209447, rs510769, rs3798676, rs553202, rs7748401, rs495491, rs10457090, rs589046, rs3778152 and rs563649, were significantly associated with the plasma concentration of cotinine when using recessive model for genotypes (general linear model (GLM), Po0.038; false discovery rate (FDR)o0.035) and additive model for allele types (GLM, Po0.03; FDRo0.049) in association analyses. The G allele carriers of SNP rs1799971 (A118G) on exon 1 of OPRM1 gene had a lower plasma cotinine concentration than the A allele carriers (GLM, P ¼ 0.029). OPRM1 genetic polymorphisms are associated with the plasma concentration of cotinine in a Taiwanese MMT cohort. Carriers with the major allele of SNP rs1799971 had a higher plasma cotinine concentration.

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The Relation Between Cigarette Smoking and Sleep Disturbance

Cited by 274 publications

References 0 publications

Sleep Duration, Subjective Sleep Disturbances and Associated Factors Among University Students in Korea

Sleep Duration, Subjective Sleep Disturbances and Associated Factors Among University Students in Korea

Factors associated with short and long sleep

OPRM1 genetic polymorphisms are associated with the plasma nicotine metabolite cotinine concentration in methadone maintenance patients: a cross sectional study

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