Influence of coffee drinking and cigarette smoking on the risk of primary late onset blepharospasm: evidence from a multicentre case control study

Prior coffee and smoking habits were investigated in a multicentre case control study involving 166 patients presenting with primary late onset blepharospasm (BSP), 228 hospital control patients with primary hemifacial spasm and 187 population control subjects from five Italian centres. Information on age at disease onset, smoking and coffee drinking status at the reference age and average number of cups of coffee drunk/cigarettes smoked per day reached high and similar test-retest reproducibility in case and control patients. Unadjusted logistic regression analysis yielded a significant inverse association of prior coffee drinking and cigarette smoking with case status for the control groups. After adjustment for age, sex, referral centre, disease duration, years of schooling and ever coffee drinking/cigarette smoking, as appropriate, the smoking estimate lacked significance whereas the association of coffee intake and BSP did not (cases vs hospital control patients: OR 0.37 (95% CI 0.20 to 0.67); cases vs population control subjects: OR 0.44 (95% CI 0.23 to 0.85)). The strength of the inverse association between BSP and coffee intake tended to increase with the average number of cups drunk per day. There was a significant correlation between age of BSP onset and number of cups per day (adjusted regression coefficient 1.73; p = 0.001) whereas no correlation was found with number of packs of cigarettes per day. Coffee drinking may be inversely associated with the development of primary BSP and this association may partly depend on the amount consumed.     

Dose-dependent protective effect of coffee, tea, and smoking in Parkinson's disease: a study in ethnic Chinese

INTRODUCTION: Few studies have examined the relationship of coffee and tea in Parkinson's disease (PD). The potential protective effect of coffee intake and risk of PD has not been studied in a Chinese population. There is a high prevalence of caffeine takers among Chinese in our population. OBJECTIVE: We undertook a case control study to examine the relationship between coffee and tea drinking, cigarette smoking, and other enviromental factors and risk of PD among ethnic Chinese in our population. METHODS AND RESULTS: 300 PD and 500 population controls were initially screened. Two hundred case control pairs matched for age, gender, and race were finally included in the analysis. Univariate analysis revealed significant association of PD with coffee drinking (p<0.0005), tea drinking (p=0.019), alcohol drinking (p=0.001), cigarette smoking (p<0.0005), and exposure to heavy metals (p=0.006). Conditional logistic regression analysis demonstrated that amount of coffee drunk (OR 0.787, 95%CI 0.664-0.932, p=0.006), amount of tea drunk (OR 0.724, 95%CI 0.559-0.937, p=0.014), number of cigarettes smoked (OR 0.384, 95%CI 0.204-0.722, p=0.003), history of heavy metal and toxin exposure (OR 11.837, 95%CI 1.075-130.366, p=0.044), and heart disease (OR 5.518, 95%CI 1.377-22.116, p=0.016) to be significant factors associated with PD. One unit of coffee and tea (3 cups/day for 10 years) would lead to a 22% and 28% risk reduction of PD. One unit of cigarette smoke (3 packs/day for 10 years) reduced the risk of PD by 62%. CONCLUSIONS: We demonstrated a dose-dependent protective effect of PD in coffee and tea drinkers and smokers in an ethnic Chinese population. A history of exposure to heavy metals increased the risk of PD, supporting the multifactorial etiologies of the disease.     

Smoking and tea consumption delay onset of Parkinson's disease

Cigarette smoking, coffee and tea drinking may protect against Parkinson's disease (PD). These factors were assessed, retrospectively, to measure their effect on the age of PD onset. The study population consisted of 278 consecutive PD patients. Smoking > or =10 pack-years delayed age of PD onset by 3.2 years (p<0.05). Consumption of tea more than 3 cups per day delayed age of motor symptoms onset by 7.7 years (p<0.01). Coffee consumption exceeding 3 cups per day advanced the age of PD onset by 4.8 years (p=0.03). Thus, tea consumption and smoking can delay the age of PD onset, while coffee drinking may have the opposite effect.     

Risk factors for aneurysmal subarachnoid haemorrhage: the Tromsø study

Methods: The Tromsø health study is a population based survey of risk factors for cardiovascular disease in 27 161 subjects. 26 cases of aneurysmal SAH were identified in which risk factors were registered before the bleeding. Four age and sex matched controls were selected for each case. A backward logistic regression analysis was conducted and odds ratios (ORs) for significant risk factors were calculated. Systolic and diastolic blood pressure, cigarette smoking habits, serum concentrations of lipoproteins, body mass index, and coffee consumption were analysed. Results: The crude annual incidence rate of aneurysmal SAH was 8.84/100 000 population. The proportion of current smokers was significantly (p = 0.003) higher in patients with SAH (73.1%) than in controls (41.3%). Drinking more than five cups of coffee per day was more common among patients (85%) than controls (59%) (p = 0.004). Mean (SD) systolic blood pressure was higher (p = 0.017) in patients (154.0 (32.5)) than in controls (136.3 (23.3)). Regression analysis showed that cigarette smoking (p = 0.04), systolic blood pressure (p < 0.0001), and coffee consumption (p = 0.004) were independent risk factors for SAH. The OR of current smokers versus never smokers was 4.55 (95% confidence interval (CI) 1.08 to 19.30) and the OR of drinking more than five cups of coffee a day was 3.86 (95% CI 1.01 to 14.73). The OR of an increase in systolic blood pressure of 20 mm Hg was 2.46 (95% CI 1.52 to 3.97). Conclusions: Cigarette smoking and hypertension are significant independent risk factors for aneurysmal SAH. A high coffee consumption may also predispose patients to aneurysmal SAH.     

Smoking and coffee intake following alcohol withdrawal in alcoholic inpatients

The aim of this study was to assess alcoholic inpatients' smoking and coffee intake variation following withdrawal. Only moderate smokers (less than 30 cigarettes/day) showed a significant increase of cigarette consumption after alcohol withdrawal. However, their urinary cotinine level did not vary, suggesting a behavioral, and not biological, compensation through smoking following alcohol withdrawal. Heavy smokers (30 cigarettes/day or more) showed no significant clinical or biological variation of smoking behavior. Coffee consumption increased after alcohol withdrawal in all patients, irrespective of smoking habits.     

A meta-analysis of coffee drinking,cigarette smoking,and the risk of Parkinson's disease

We conducted a systematic review to summarize the epidemiological evidence on the association between cigarette smoking, coffee drinking, and the risk of Parkinson's disease. Case-control and cohort studies that reported the relative risk of physician-confirmed Parkinson's disease by cigarette smoking or coffee drinking status were included. Study-specific log relative risks were weighted by the inverse of their variances to obtain a pooled relative risk and its 95% confidence interval (CI). Results for smoking were based on 44 case-control and 4 cohort studies, and for coffee 8 case-control and 5 cohort studies. Compared with never smokers, the relative risk of Parkinson's disease was 0.59 (95% CI, 0.54-0.63) for ever smokers, 0.80 (95% CI, 0.69-0.93) for past smokers, and 0.39 (95% CI, 0.32-0.47) for current smokers. The relative risk per 10 additional pack-years was 0.84 (95% CI, 0.81-0.88) in case-control studies and 0.78 (95% CI, 0.73-0.84) in cohort studies. Compared with non-coffee drinkers, relative risk of Parkinson's disease was 0.69 (95% CI, 0.59-0.80) for coffee drinkers. The relative risk per three additional cups of coffee per day was 0.75 (95% CI, 0.64-0.86) in case-control studies and 0.68 (95% CI, 0.46-1.00) in cohort studies. This meta-analysis shows that there is strong epidemiological evidence that smokers and coffee drinkers have a lower risk of Parkinson's disease. Further research is required on the biological mechanisms underlying this potentially protective effect.     

Premorbid smoking, alcohol consumption, and coffee drinking habits in Parkinson's disease: a case-control study.

A number of studies have reported lower cigarette consumption in patients with Parkinson's disease (PD) previous to onset of the disease. In an attempt to determine whether there existed a "premorbid attitude" by patients against the use of socially accepted "drugs," the premorbid tobacco, alcohol, and coffee consumption habits were compared in 128 PD patients and 256 controls. Patients and controls were selected by case control method and were recruited from the same health area and socioeconomic stratum. In males, the habits of smoking more than 10 cigarettes/day (p < 0.001) and drinking more than 50 g/day of alcohol (p < 0.001) were significantly less frequent in the PD patients than in the controls, but the differences in coffee consumption were nonsignificant. In females behavior did not differ significantly between the PD group and the controls for any of the three habits. There was no correlation between the amount of smoking and alcohol drinking and age at onset of PD or current Hoehn and Yahr's staging. Our results suggest the existence of a premorbid personality in males with PD, possibly conditioning a restrictive attitude toward the consumption of such toxic substances as tobacco and alcohol, yet a more tolerant attitude toward habits more widely accepted socially, like coffee consumption.     

Coffee and cigarette use: association with suicidal acts in 352 Sardinian bipolar disorder patients

Objective:  Abuse of illicit drugs and alcohol is prevalent in bipolar disorder (BPD) patients, and is an adverse prognostic factor. Much less is known about correlates of nicotine and caffeine consumption, but tobacco smoking is tentatively associated with suicidal behavior.
Methods:  Retrospective analysis of demographic and clinical factors among 352 longitudinally assessed DSM-IV types I and II BPD patients contrasted patients with versus without consumption of nicotine or caffeine, based on univariate comparisons and multiple regression modeling.
Results:  Current smoking (46%) and coffee drinking (74% of cases) were common, and significantly and independently associated with suicidal acts [coffee: odds ratio (OR) = 2.42, 95% confidence interval (CI): 1.15–5.09; smoking: OR = 1.79, CI: 1.02–3.15; both p < 0.001]. Risk increased with more smoking (cigarettes/day; r _s  =  0.383; p < 0.0001) and greater coffee consumption (cups/day; r _s  =  0.312; p = 0.008). Neither intake was related to yearly rates of all episodes, depressions, or manias.
Conclusions:  This is the first report to associate suicidal acts with coffee consumption in BPD patients, and it confirmed an association with smoking. Pending further evidence, the findings underscore the importance of monitoring use of even legal and mildly psychotropic substances by BPD patients.     

The effect of cigarette smoking, tea, and coffee consumption on the progression of Parkinson's disease

Previous epidemiological studies found a negative association between cigarette smoking, tea or coffee drinking with the occurrence of Parkinson's disease (PD). However, it is unknown how these factors affect the rate of progression of the disease. A retrospective study was conducted among 278 consecutive PD patients. Data on smoking and coffee or tea consumption were obtained through direct or proxy interviews, and the time from onset of motor symptoms until reaching Hoehn & Yahr (H&Y) stage 3 was retrieved from the case records. Cox proportional hazards model and Kaplan-Meyer model were used to estimate whether the dependent variables (smoking, drinking coffee or tea) affect the rate of progression of the disease, which was measured by the time it took patients to reach H&Y stage 3. We found that disease progression was not affected by cigarette smoking, tea or coffee consumption. The present study suggests that these variables do not have a disease modifying effect in already diagnosed PD patients.     

Smoking status and its relationship to demographic and clinical characteristics in first episode psychosis

Elevated rates of cigarette smoking are observed prior to the onset of psychosis and remain stable early in the illness. Cannabis use frequently co-occurs with cigarette smoking and is independently associated with distinct clinical outcomes. However, past research has not controlled for cannabis use in cigarette smokers with first episode psychosis (FEP), limiting conclusions on the unique relationship of cigarette smoking to the demographic and clinical profiles of these patients. The present study therefore aimed to: (1) Determine the prevalence and patterns of cigarette smoking and its co-use with cannabis in FEP, and (2) Examine the demographic, clinical, cognitive, and functional characteristics associated with cigarette smoking status, after adjusting for frequency of cannabis use. Patients entering specialized treatment for FEP (N = 140) were divided into groups according to their current smoking status: 66 non-smokers (0 cigarettes/day), 47 light/moderate smokers (1–19 cigarettes/day; M = 9.81, SD = 3.93), and 27 heavy smokers (≥20 cigarettes/day; M = 26.39, SD = 6.31). The prevalence of cigarette smoking was 53% and smoking status was highly associated with frequency of cannabis use. After adjusting for cannabis use, significant between-group differences emerged. Heavy smokers were older at program entry and had a later age of onset of psychosis than light/moderate and non-smokers. Non-smokers had more education, better neurocognitive performance, and higher levels of functioning than light/moderate and heavy smokers. Prospective, longitudinal studies are needed to better understand the clinical significance of tobacco use and factors that contribute to the initiation and continuation of smoking behaviours in FEP.     

Relationship of mood disturbance to cigarette smoking status among 252 patients with a current mood disorder.

BACKGROUND: The relationship between cigarette smoking and mood has received increasing attention. This retrospective study evaluated the relationship between mood disturbance and cigarette smoking status among patients with a current mood disorder. The association between level of nicotine dependence and severity of mood disturbance was also evaluated among current smokers. METHOD: Retrospective data for 252 patients (63.5% male, 85.0% white) admitted for treatment of a mood disorder at the San Diego Veteran Affairs Mental Health Clinical Research Center between November 1988 and June 1997 were studied. All current cigarette smokers at admission (N = 126) were matched with nonsmokers (N = 126) on the primary DSM-IV Axis I mood disorder diagnosis, admission status (inpatient or outpatient), gender, age (+/- 5 years), and ethnicity. The Hamilton Rating Scale for Depression (HAM-D), the Beck Depression Inventory, and the Profile of Mood States (POMS) were administered to patients on admission. Conditional logistic regression analysis for matched sets with a backward elimination was used to identify factors independently predictive of current smoking status. RESULTS: A greater number of cups of coffee consumed per day (p = .002), a history of alcoholism (p = .004), and higher POMS fatigue subscale scores (p = .007) were predictive of current smoking status. Among current smokers, the HAM-D terminal insomnia item was positively associated with mean number of cigarettes smoked per day (p = .012). CONCLUSION: Cigarette smoking should be addressed in the treatment of patients with a current mood disorder. Smokers experience greater levels of fatigue than nonsmokers. In addition, higher cigarette consumption levels are associated with mild-to-severe symptoms of terminal insomnia.     

Cognitive performance and cigarette smoking in first-episode psychosis

The purpose of this study is to describe possible differences in cognitive functioning between smoking and non-smoking patients with first-episode psychosis and to determine whether there is a better cognitive profile associated with smoking. We assessed 61 first-episode psychosis patients with a neuropsychological battery that included computerized measurements of attention, working memory, and executive functioning. Patients were grouped into two categories: non-smokers (0 cigarettes/day; n = 30) and smokers (≥20 cigarettes/day; n = 31). No significant differences were detected in sociodemographic and clinical data between the two groups. For attention tasks, smokers exhibited shorter reaction times in the sustained attention test than non-smokers (P = 0.039) and needed less time to complete the Stroop interference test (P = 0.013). In the working memory task, smokers exhibited shorter reaction times (P = 0.029) and presented a significantly lower percentage of omission (P = 0.002) and commission errors (P = 0.020) than non-smokers. For executive functioning, no differences were detected between groups in performance on the Wisconsin Card Sorting Test. Results indicate that first-episode psychosis patients who are nicotine users have better cognitive functioning in the areas of attention and working memory than patients who are not nicotine users. This study supports the cognitive approach to the self-medication hypothesis, to explain the high rates of cigarette smoking among psychosis patients. These results may be relevant for developing new strategies involving nicotinic receptors for cognitive enhancement in psychosis.     

Effects of doxepin on withdrawal symptoms in smoking cessation

In a double-blind study, 15 cigarette smokers self-monitored 10 withdrawal symptoms. For the first 21 days (baseline), subjects received doxepin hydrochloride, up to 150 mg/day, or inert medication while continuing to smoke. On day 22, they were instructed to stop smoking; medication was continued. Withdrawal symptoms on the first 28 days of treatment (baseline and 7 days of attempted cessation) were analyzed. During cessation, subjects taking doxepin reported significantly less craving for cigarettes. Results from this study and others suggest that antidepressants may attenuate the severity of symptoms during withdrawal from addictive substances.     

Clinical characteristics of heavy and non-heavy smokers with schizophrenia

Up to 50-90% of persons with schizophrenia smoke cigarettes. Limited data and theories suggest persons with schizophrenia may smoke for different reasons than persons without schizophrenia, making smoking cessation interventions particularly challenging in this population. Although health consequences of smoking are widely known, less information is available regarding characteristics of different amounts of smoking exposure in this population. This study was performed to investigate differences between heavy (≥ 1 pack per day) and non-heavy (<1 pack per day) smoking in patients with schizophrenia. Data from 745 patients, mean age 41.3+/-12.6 years, were drawn from a population of smokers admitted to State of Maryland inpatient mental health facilities (1994-2000). Records were reviewed to obtain demographic information, diagnosis, medication, smoking and substance use. 43% of patients were characterized as heavy smokers. Heavy and non-heavy groups did not differ in age, GAF, weight, or BMI. No differences were found in race, gender or antipsychotic treatments. However, patients smoking ≥ 1 packs per day were more likely to use other substances such as alcohol (χ(2)=6.67, df=1, p=0.01), cocaine (χ(2)=6.66, df=1, p=0.01), and other substances (χ(2)=9.95, df=1, p=0.003) compared to non-heavy smokers. No differences in cannabis or heroin use were found by smoking category. Controlling for age, race, sex and BMI, heavy smokers had higher total cholesterol (190.7(51.6)mg/dL) compared to non-heavy smokers (178.2 (43.0)mg/dL, p=0.03), but no differences were found in glucose or blood pressure. Heavy smoking may be a particular health risk in schizophrenia and significant efforts for smoking cessation or reduction are needed.     

Coffee drinking enhances the analgesic effect of cigarette smoking

Nicotine (from cigarette smoke) and caffeine (from coffee) have analgesic effects in humans and experimental animals. We investigated the combined effects of coffee drinking and cigarette smoking on pain experience in a group of moderate nicotine-dependent, coffee drinking, young smokers. Pain threshold and pain tolerance were measured during cold pressor test following the habitual nocturnal deprivation of smoking and coffee drinking. Smoking increased pain threshold and pain tolerance in both men and women. Coffee drinking, at a dose that had no independent effect, doubled the increase in pain threshold induced by smoking. The effect could not be explained by a cumulative raise in blood pressure. Our data suggest that caffeine enhances the analgesic effect of nicotine.     

Coffee and tea consumption and the risk of Parkinson's disease.

Several prospective studies have assessed the association between coffee consumption and Parkinson's disease (PD) risk, but the results are inconsistent. We examined the association of coffee and tea consumption with the risk of incident PD among 29,335 Finnish subjects aged 25 to 74 years without a history of PD at baseline. During a mean follow-up of 12.9 years, 102 men and 98 women developed an incident PD. The multivariate-adjusted (age, body mass index, systolic blood pressure, total cholesterol, education, leisure-time physical activity, smoking, alcohol and tea consumption, and history of diabetes) hazard ratios (HRs) of PD associated with the amount of coffee consumed daily (0, 1-4, and > or = 5 cups) were 1.00, 0.55, and 0.41 (P for trend = 0.063) in men, 1.00, 0.50, and 0.39 (P for trend = 0.073) in women, and 1.00, 0.53, and 0.40 (P for trend = 0.005) in men and women combined (adjusted also for sex), respectively. In both sexes combined, the multivariate-adjusted HRs of PD for subjects drinking > or = 3 cups of tea daily compared with tea nondrinkers was 0.41 (95% CI 0.20-0.83). These results suggest that coffee drinking is associated with a lower risk of PD. More tea drinking is associated with a lower risk of PD.     

Prevalence and correlates of heavy smoking and nicotine dependence in adolescents with bipolar and cannabis use disorders

The study examined the prevalence and correlates of heavy smoking and nicotine dependence in adolescents with bipolar and cannabis use disorders. Participants were 80 adolescents between 13 and 22 years of age with co-occurring bipolar I disorder and cannabis abuse or dependence who reported ever trying a cigarette. Diagnostic and symptom severity measures were completed as part of the baseline assessments for a clinical trial. Almost half (49%) of these participants who ever tried a cigarette were current heavy smokers (≥10 cigarettes/day), and 70% met DSM-IV-TR lifetime criteria for nicotine dependence. Heavy smoking was associated with older age, heavier marijuana use and greater compulsive craving, lifetime diagnoses of attention-deficit/hyperactivity disorder, conduct disorder, illicit drug use disorders, and poorer overall functioning. Nicotine dependence was related to White race, higher current mania severity, and poorer overall functioning. These findings suggest that heavy smoking and nicotine dependence were highly prevalent among these adolescents. Although both were associated with greater physical and psychosocial problems, only heavy smoking was linked to a clear pattern of more severe substance-related and psychiatric problems. Further research to elucidate mechanisms and develop interventions to address early, entrenched patterns of co-use of tobacco and marijuana is warranted.     

Nicotine exposure among nondependent smokers

Most theories of dependence imply that repeated exposure to an addictive drug leads inexorably to dependence. We examined nicotine exposure in "tobacco chippers," who smoke regularly without developing dependence. Blood samples were obtained before and after 10 chippers (smoking up to 5 cigarettes per day) and 12 dependent smokers (20 to 40 cigarettes per day) smoked a cigarette. Chippers' blood nicotine levels increased significantly, in amounts equaling those of dependent smokers. Assays of cotinine (a long-lasting nicotine metabolite) also suggested that chippers' per-cigarette nicotine absorption equaled that of dependent smokers. Chippers' cotinine levels were also compared with those of heavy smokers (38 cigarettes per day) whose consumption was reduced to 5 cigarettes per day in a previously published study. The heavy smokers compensated by tripling their per-cigarette nicotine intake. Chippers did not seem to be compensating; their cotinine values equaled those expected when regular smokers were not compensating for reduced cigarette availability.     

Risk factors for parkinson's disease: the leisure world cohort study

We conducted a case-control study nested within a prospective cohort study of 13,979 residents of Leisure World Laguna Hills, a retirement community in southern California, for etiologic clues for Parkinson's disease (PD). Between 1981 (when first mailed a health survey) and 1998, we identified 395 PD cases from death certificates, hospital discharge diagnoses and a 1992 follow-up questionnaire. Six controls were individually matched on sex, birth date (+/-2 years), vital status and, if dead, death date (+/-1 year) to each case. Baseline characteristics of the 395 cases and 2,320 controls were analyzed as potential PD risk factors. The risk of PD was significantly reduced among smokers, hypertensives, coffee drinkers and alcohol consumers, and significantly increased among those with 3 or more children and with a high intake of total vitamin A and dietary vitamin C. The multivariate odds ratios (95% confidence intervals) were 0.42 (0.22-0.80) for current cigarette smokers of 1+ pack/day, 0.62 (0.48-0.80) for current users of hypertensive medication, 0.71 (0.52-0.95) for coffee drinkers of 2+ cups/day and 0.77 (0.58-1.03) for drinkers of 2+ alcoholic drinks/day. Risk increased with increasing number of children (1.25 for 1, 1.34 for 2 and 1.90 for 3+ children; p for trend = 0.0003). The increased risks among individuals in the highest third of total vitamin A intake and of dietary vitamin C intake were no longer statistically significant after adjusting for the other variables. These findings suggest several environmental factors that may be related to the development of PD and support a multifactorial etiology.     

No increased levels of the nicotine metabolite cotinine in smokers with schizophrenia

The prevalence of smoking cigarettes has repeatedly been found to be greater in schizophrenia as compared with other psychiatric patients and the general population. Patients with schizophrenia have been found to engage in heavy smoking and consumption of higher doses of nicotine, probably by deeper inhalation of cigarettes. The aim of the current study was to assess nicotine exposure through smoking by measuring urinary cotinine, the major nicotine metabolite, in a group of smokers from Greece of smokers with schizophrenia and smokers from the general population. Participants were current smokers and belonged to one of two groups: 35 patients with schizophrenia and 48 healthy controls matched in age, education, and gender. The quantitative analysis of cotinine, the major metabolite of nicotine, in urine samples was performed by a modified high performance liquid chromatography (HPLC). Patients with schizophrenia who smoke presented a significantly larger time interval between last cigarette smoked and urine sample collection, as well as a significantly higher average number of cigarettes consumed daily than normal smokers. Urinary cotinine levels of patients with schizophrenia who smoke did not significantly differ from that of normal smokers when adjusted for average number of cigarettes per day and time interval between last cigarette smoked and urine collection. These results suggest that patients with schizophrenia did not present higher nicotine exposure through smoking compared with smokers from the community. The pharmacokinetic or pharmacodynamic properties of nicotine, as well as patient medications of the patients may explain our findings.