Drugs With Anticholinergic Properties, Cognitive Decline, and Dementia in an Elderly General Population: The 3-City Study | Dementia and Cognitive Impairment | JAMA Internal Medicine | JAMA Network
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Table 1. 
Characteristics of the Study Population as a Function of Anticholinergic (ACH) Drug Use at Baseline
Characteristics of the Study Population as a Function of Anticholinergic (ACH) Drug Use at Baseline
Table 2. 
Baseline Anticholinergic Use and Cognitive Decline Over the 4-Year Follow-up Perioda
Baseline Anticholinergic Use and Cognitive Decline Over the 4-Year Follow-up Perioda
Table 3. 
Cognitive Decline According to Pattern of Anticholinergic Drug Use (Continuing or Discontinuing) During the Follow-up Perioda
Cognitive Decline According to Pattern of Anticholinergic Drug Use (Continuing or Discontinuing) During the Follow-up Perioda
Table 4. 
Patterns of Anticholinergic Use (Continuing or Discontinuing) During Follow-up and Incident Dementia (Cox Model With Delayed Entry)a
Patterns of Anticholinergic Use (Continuing or Discontinuing) During Follow-up and Incident Dementia (Cox Model With Delayed Entry)a
Original Investigation
July 27, 2009

Drugs With Anticholinergic Properties, Cognitive Decline, and Dementia in an Elderly General Population: The 3-City Study

Author Affiliations

Author Affiliations: Inserm, U888, Université Montpellier 1, Montpellier, France (Drs Carrière, Ritchie, and Ancelin); Inserm, U657 (Dr Fourrier-Reglat), and Inserm, U897 (Dr Dartigues), Université Bordeaux 2, Bordeaux, France; Department of Neurology, Centre Hospitalier Universitaire Dijon, Dijon, France (Dr Rouaud); and Department of Neurology, Centre Hospitalier Universitaire Lille, Lille, France (Dr Pasquier).

Arch Intern Med. 2009;169(14):1317-1324. doi:10.1001/archinternmed.2009.229

Background  Despite the high intake of medications with anticholinergic properties by community-dwelling elderly persons, the effects on cognitive decline and dementia have rarely been evaluated.

Methods  Participants were 4128 women and 2784 men 65 years or older from a population-based cohort recruited from 3 French cities. Cognitive performance, clinical diagnosis of dementia, and anticholinergic use were evaluated at baseline and 2 and 4 years later.

Results  A total of 7.5% of the participants reported anticholinergic drug use at baseline. Multivariate-adjusted logistic regression indicated that women reporting use of anticholinergic drugs at baseline showed greater decline over 4 years in verbal fluency scores (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.11-1.79) and in global cognitive functioning (OR, 1.22; 95% CI, 0.96-1.55) than women not using anticholinergic drugs. In men, an association was found with decline in visual memory (OR, 1.63; 95% CI, 1.08-2.47) and to a lesser extent in executive function (OR, 1.47; 95% CI, 0.89-2.44). Notable interactions were observed in women between anticholinergic use and age, apolipoprotein E, or hormone therapy. A 1.4- to 2-fold higher risk of cognitive decline was observed for those who continuously used anticholinergic drugs but not for those who had discontinued use. The risk of incident dementia over the 4-year follow-up period was also increased in continuous users (hazard ratio [HR], 1.65; 95% CI, 1.00-2.73) but not in those who discontinued the use of anticholinergic drugs (HR, 1.28; 95% CI, 0.59-2.76).

Conclusions  Elderly people taking anticholinergic drugs were at increased risk for cognitive decline and dementia. Discontinuing anticholinergic treatment was associated with a decreased risk. Physicians should carefully consider prescription of anticholinergic drugs in elderly people, especially in the very elderly and in persons at high genetic risk for cognitive disorder.

In the absence of an effective clinical treatment for age-related neurodegenerative disorder, research has focused on the identification of potential risk factors in order to delay cognitive decline and prolong autonomy. Reversible drug-induced cognitive impairment has been described in clinical studies of patients with cognitive impairment or neuropsychiatric disorder. They have generally focused on acute (single-dose) or short-term administration of anticholinergic medication and delirium.1 Few community studies have, however, been undertaken despite the relatively high intake of over-the-counter and prescription drugs consumed by elderly patients.2 Several cross-sectional studies in elderly persons have demonstrated a link between anticholinergic medication and global cognitive functioning,3-6 psychomotor speed,7,8 visual and declarative memory,4 and implicit learning.7 The causal relationship between long-term use of anticholinergics and subclinical cognitive decline thus remains unclear owing to the scarcity of longitudinal population studies. In a retrospective study of 592 older adults, Bottiggi et al9 observed an accelerated decline over a 6-year period of psychomotor speed and executive functioning in anticholinergic users. In a sample of 372 elderly participants, we previously reported10 an important association between continuous anticholinergic use for 1 year and poorer performance on specific cognitive domains. Most important, anticholinergic drug use was observed to be a strong predictor of mild cognitive impairment (MCI), although the risk of subsequent dementia could not be estimated owing to small numbers of patients with dementia. Very recently, in a cohort of 544 community-dwelling older men with hypertension, cumulative anticholinergic exposure was shown to be associated with poor performance on verbal memory over 2 years.11

Surprisingly, to our knowledge, previous studies have not examined genetic vulnerability, although 2 small randomized controlled trials (RCTs)12,13 suggested increased cognitive sensitivity in participants with an allele producing the ε4 type of apolipoprotein E (APOE*E4) shortly after acute anticholinergic administration. Sex differences have also not been considered, although different risk profiles for both MCI and progression to dementia have been reported between men and women.14 Finally, there is some evidence that short-term estrogen pretreatment may attenuate anticholinergic-induced cholinergic dysfunction,15,16 suggesting possible protective effects of hormone therapy (HT). This hypothesis has yet to be tested.

Thus, although there is accumulating evidence to suggest that anticholinergics may increase the risk of cognitive decline and dementia, this hypothesis remains to be tested within a large prospective study that is able to take into account multiple independent and interactive causes of cognitive decline. To our knowledge, the possible reversible effect on cognitive functioning of stopping anticholinergic treatment has also never been evaluated. Our aim was to examine the relationship over time between anticholinergic use and cognitive decline and onset of dementia in community-dwelling elderly persons, taking into account sex and genetic vulnerability.

Study population

Participants were recruited as part of a multisite cohort study of community-dwelling persons 65 years or older from the electoral rolls of 3 French cities from 1999 to 2001.17 The study protocol was approved by the ethics committee of the University-Hospital of Bicêtre (France), and written informed consent was obtained from each participant. The participants were followed up after 2 years and 4 years. Of the 9077 dementia-free participants included in the cohort, 363 died, 631 were lost to follow-up, and 1171 did not have repeated cognitive testing or had missing data for at least 1 baseline adjustment variable. The present analyses were conducted for 6912 participants. Of these, 914 participants (13.2%) had only 1 follow-up examination. The mean (SD) duration of follow-up was 3.5 (0.6) years. Participants not included in the present analysis were more frequently female, were older, had a lower education level, more frequently used anticholinergics, and had lower baseline cognitive scores (data not shown). There were 59.7% of women in the sample. The mean (SD) age was 73.6 (5.3) years for men and 73.8 (5.2) years for women.

Cognitive outcome measures

A battery of cognitive tests assessed different areas of cognitive functioning. The Isaacs Set Test18 provided a measure of verbal fluency or semantic access that is sensitive to changes in both frontal and temporal areas. Participants were asked to generate as many words as possible within a given semantic category (animals, colors, fruits, and cities) in a limited time. Fluency was assessed as the total score corresponding to the sum of the number of words generated in each category within 30 seconds (Isaacs total retrieval), as well as the number of words reported for the first (early retrieval) and the second 15-second interval (late retrieval). The Benton Visual Retention Test (BVRT)19 assessed visual memory; psychomotor speed and executive function were assessed with the Trail Making Tests A and B, respectively (TMT A and TMT B),20 and the Mini-Mental State Examination (MMSE) was used as a global measure of cognitive function.21 All of the cognitive tests were administered at baseline, and during 2- and 4-year follow-ups of the follow-up, except the TMT A and TMT B, which were not given in the 2-year follow-up. Consequently, the analysis based on these tasks involves only 5716 participants. Cognitive decline was defined as being in the lowest quintile of the difference between baseline score and either follow-up visit (after 2 or 4 years), except for TMT for which the highest quintile of the difference was considered.22

Diagnosis of dementia

A preliminary diagnosis and classification of dementia at each follow-up examination was made by the local clinical investigators for the 3C Study according to the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) revised criteria,23 and validated by a national panel of neurologists independently of the 3C investigators. The date of onset of dementia was the date of the follow-up interview when dementia was diagnosed.

Anticholinergic drug use

An inventory of all drugs (prescription and over-the-counter drugs) used during the preceding month was included in a standardized interview. Medical prescriptions and, where feasible, the medications themselves were checked by the interviewer. Reported medicines were coded according to the World Health Organization's Anatomical Therapeutic Chemical Classification.24 The list of drugs with anticholinergic properties was established from the Thériaque,25 the Banque de Données Automatisée sur les Médicaments (BIAM),26 and VIDAL classifications.27

Sociodemographic and clinical variables

The standardized interview included questions on demographic characteristics, education level, marital status (married, widowed, single, or divorced), mobility, height, and weight. Information was obtained on alcohol consumption, tobacco use, caffeine consumption, and HT for women. History of stroke, angina pectoris, myocardial infarction, and cardiovascular surgery was established according to standardized questions with additional information where necessary from general practitioners. Recent asthma crisis, hypertension, hypercholesterolemia, and diabetes mellitus were also recorded. Depressive symptoms were assessed by the Center for Epidemiological Studies–Depression Scale (CES-D)28 with a cutoff point of 16 on a scale of 60. Fasting blood samples were taken for cholesterol levels, and apolipoprotein E genotyping was performed as described previously.22

Statistical analysis

We used univariate and multivariate logistic regression analyses to determine if baseline consumption of anticholinergic drugs was associated with the odds of cognitive decline. Men and women were examined in separate analyses because they differed in both anticholinergic drug use and profiles of cognitive ability. The χ2 test was used to identify sex-related differences. After sex stratification, univariate odds ratios (ORs) were adjusted for center, age, educational level, and baseline cognitive performance (model 0). Multivariate-adjusted logistic regression included covariates that were associated with cognitive decline (P < .15). Model 1 was adjusted for center; age; education; baseline cognitive performance; body mass index (BMI); alcohol, tobacco, and caffeine intake; mobility; hypercholesterolemia; apolipoprotein E; diabetes mellitus; asthma; and HT for women. Compared with model 1, model 2 was further adjusted for diseases associated with anticholinergic drug use to take into account a possible prescription bias (eg, depression, ischemic diseases, Parkinson disease, and hypertension).

A Cox model with delayed entry was used in the analysis of dementia incidence taking age as the basic timescale and birth as the time origin.29 This analysis was undertaken with 7123 participants without missing data for baseline adjustment variables but with possibly missing repeated cognitive testing. The analyses were not stratified by sex to allow full adjustment despite relatively small numbers of incident cases. The full model was adjusted for sex; center; education; BMI; alcohol, tobacco, and caffeine intake; mobility; hypercholesterolemia; apolipoprotein E; diabetes mellitus; asthma; depression; ischemic diseases; Parkinson disease; and hypertension. Analyses were performed using SAS statistical software (version 9.1; SAS Inc, Cary, North Carolina).

Population characteristics

Within this elderly, community-dwelling population, 520 of the 6912 participants (7.5%) were taking anticholinergic drugs at baseline, of whom 36 participants (6.9%) were taking 2 anticholinergic drugs simultaneously, and 8 (1.5%) were taking 3 drugs. The main classes for these drugs consisted of antidepressants (1.9%), digestive antispasmodics (1.6%), genital-urinary antispasmodics (1.3%), H1 antihistaminics (1.0%), anxiolytics (0.9%), cardiovascular medications (0.5%), antiepileptics (0.5%), antipsychotics (0.3%), antiasthmatics (0.1%), and anti-Parkinson drugs (0.1%) (eTable, http://www.archinternmed.com). None of the participants reported use of cholinesterase inhibitors.

Overall, women reported anticholinergic drug use more often than men (9.6% vs 4.4%, respectively; P < .001). Men and women were found to differ in all other characteristics at baseline except the presence of APOE*E4. They also differed in baseline cognitive performance, with a higher proportion of women showing low scores on the MMSE, BVRT, and TMT A and TMT B (data not shown).

The cross-sectional associations of baseline covariables with anticholinergic use were evaluated after stratification by sex. For both men and women, anticholinergic use was higher in participants with depression (P < .001), in those with low alcohol consumption (P = .02 in women and P = .001 in men), and with poor mobility (P = .03 in women and P < .001 in men) (Table 1). Women not consuming caffeine (P = .008) or with diabetes mellitus (P = .007), ischemic diseases (P = .02), or Parkinson disease (P < .001) were more frequent anticholinergic drug users.

Associations between anticholinergics and cognitive decline over a 4-year follow-up

In the longitudinal logistic regression analyses, decline in cognitive performance was defined as a decrease from baseline of at least 6 points on the Isaacs Set Test total score or at least 2 points on the BVRT and the MMSE (lowest quintiles). For the TMT, cognitive decline was defined as an increase from baseline of at least 16 (TMT A) or 35 seconds (TMT B) (Table 2). In women, univariate logistic regression adjusted for age, educational level, center, and baseline cognitive score (model 0) indicated a significant association between anticholinergic use and decline in Isaacs Set Test total score (OR, 1.47; 95% confidence interval [CI], 1.16-1.86; P = .002) and in the MMSE (OR, 1.26; 95% CI, 1.00-1.60; P = .05). No significant association was observed for the BVRT ( = .33) and the TMT A ( = .73) or TMT B ( = .88). In men, anticholinergic use was significantly associated with decline in the BVRT (OR, 1.70; 95% CI, 1.13-2.56; P = .01) but was not significantly associated in the TMT B (OR, 1.61; 95% CI, 0.98-2.64; P = .06) in the Isaacs Set Test or the TMT A. In multivariate logistic regression (model 1), the same associations were observed with significant cognitive decline in the Isaacs Set Test in women ( = .003) and in the BVRT in men ( = .01). These associations persisted in the complete model (model 2) further adjusted for other confounders such as disease associated with anticholinergic prescription (depression, ischemic diseases, Parkinson disease, and hypertension). The OR was 1.41 (95% CI, 1.11-1.79; P = .006) for decline on the Isaacs Set Test total score in women. This effect seemed related to the early retrieval phase (OR, 1.27; 95% CI, 0.99-1.62; P = .06), whereas no notable association was found for the late retrieval phase (data not shown). In men, the OR was 1.63 (95% CI, 1.08-2.47; P = .02) for decline in the BVRT test. However, the association with decline in the TMT B in men was not significant in model 2 (P = .14), as well as for the MMSE in women (P = .10). For women specifically, an interaction was observed on the MMSE between anticholinergic use and age (risk increasing with age; P = .002) and apolipoprotein E (the risk being significantly increased only for APOE*E4 carriers; OR, 2.05; 95% CI, 1.24-3.40; P = .005 vs OR, 1.07; 95% CI, 0.81-1.40; P = .65 in non–APOE*E4 carriers). There was also an interaction between anticholinergic use and HT on early retrieval on the Isaacs Set Test; the risk of cognitive decline in those using anticholinergics was increased for those who had never used HT (OR, 1.44; 95% CI, 1.07-1.94; P = .02) in contrast with current HT users (OR, 0.51; 95% CI, 0.25-1.05; P = .07).

Cognitive decline according to the pattern of anticholinergic drug use during follow-up

A total of 5969 participants (86.4%) did not report anticholinergic drug use at baseline or at the later follow-up examinations, 175 (2.5%) reported anticholinergic use only at baseline but not at either the 2- or 4-year follow-up (hereinafter, discontinuing group), and 319 (4.6%) reported anticholinergic drug use both at baseline and at least at the 2-year examination (hereinafter, continuing group), of whom 204 were also users at the 4-year follow-up. Other participants who reported the intermittent use of anticholinergics during the follow-up (n = 449) were not considered in the following analyses.

Compared with women who had never reported the use of anticholinergic drugs, women in the continuous group were at higher risk of cognitive decline on the Isaacs Set Test in fully adjusted models (OR, 1.46; 95% CI, 1.08-1.98; P = .02) and on the MMSE (OR, 1.42; 95% CI, 1.06-1.90; P = .02) (Table 3). The same pattern was observed for men in the continuous group in relation to decline in the BVRT test (OR, 1.94; 95% CI, 1.15-3.27; P = .01) and the TMT B (OR, 1.94; 95% CI, 1.06-3.58; P = .03). However, the risk was not modified for participants who had discontinued the use of anticholinergic drugs.

Associations between baseline anticholinergic drug use and 4-year incidence of dementia

Among the 7123 participants included in the analysis concerning dementia outcome, there were 221 newly diagnosed cases during follow-up, of whom 143 patients had Alzheimer disease. In the subsample from which intermittent users were excluded, a multiadjusted delayed-entry Cox model showed an increased risk for incident dementia or Alzheimer disease for persons who had used anticholinergic drugs continuously (hazard ratio [HR], 1.65; 95% CI, 1.00-2.73; P = .05; and HR, 1.94; 95% CI, 1.01-3.72; P = .05, respectively) but not for those who had discontinued anticholinergic treatment after the inclusion (Table 4).


In this large prospective study, 7.5% of these community-dwelling elderly persons reported taking anticholinergics. Our results indicate an increased risk in cognitive decline and dementia, which remained significant after adjustment for the other multiple possible codeterminants of cognitive decline (see Table 2 and Table 4 for P values). It is worth noting that similar results were obtained in the unadjusted model (model 1) and in the model that adjusted for the diseases associated with anticholinergic treatment (model 2). This suggests that the anticholinergic drugs themselves rather than the underlying burden of illness is the likely cause of the cognitive decline. Further supporting a causative effect of the anticholinergic medications, we found that the cognitive decline seemed reversible after anticholinergic treatment was discontinued. This could at least partly account for the reversible dementia observed in some patients with MCI.30,31

Association between anticholinergics and cognitive decline and sex specificity

Chronic anticholinergic use was specifically associated with a significant decline in visual memory or executive function in men and in verbal retrieval in women (see Table 3 for P values). Our data indicate a specific effect on early retrieval but not on late retrieval, which could suggest an effect on the speed of information processing rather than on search processes.32 For women, an effect on a global cognitive measure targeting more severe decline was also observed. Some of these alterations in cognitive performances have already been observed in previous cross-sectional studies3-8 as well as in retrospective9 and prospective10,11 longitudinal studies, although possible sex differences were not previously considered.

In women, we observed an age-by-anticholinergic intake interaction effect, the oldest women being at higher risk of global cognitive decline (P = .002). Elderly persons are known to be more sensitive than the young to the cognitive toxic effects associated with acute anticholinergic drug administration, which has been ascribed to decreased central cholinergic function.33-36 Our data suggest a significant (P = .002) age-related vulnerability to anticholinergics in elderly women, whereas no notable interaction was found in men, but the results could have been limited owing to the lower number of men in our sample.

Endocrinological factors can modulate cognitive function in elderly women.37 Dumas et al15,16 reported that short-term estrogen pretreatment could attenuate anticholinergic-induced cognitive impairments in 2 small RCTs with 15 and 22 postmenopausal women. In the present study we found an interactive effect on cognitive decline in early retrieval between anticholinergic intake and HT use, which suggests that estrogen status in postmenopausal women may be important for cholinergic system integrity.

We also observed a significant interaction between anticholinergic intake and apolipoprotein E; women who were taking anticholinergics and were APOE*E4 positive were at a 2-fold higher risk of global cognitive decline ( = .005) than noncarriers ( = .65). In 2 RCTs12,13 in which 24 cognitively intact elderly participants were administered a single dose of the muscarinic antagonist trihexyphenidyl, the participants who were APOE*E4 positive but not those who were APOE*E4 negative demonstrated notable impairment in total and delayed recall 5 hours after treatment. Sex differences were not considered in these small RCTs, although a greater deleterious effect of APOE*E4 on gross hippocampal pathologic characteristics and memory performance has been reported in women than in men with MCI.38 Our data suggest that the APOE*E4 could play an important role in increasing long-term cognitive vulnerability to chronic anticholinergic burden in the elderly population and that this effect could be particularly evident in postmenopausal women. Estrogen has been reported to be associated with less cognitive decline among APOE*E4-negative women but not APOE*E4-positive women.39 Both characteristics (APOE*E4-negative women taking HT) may thus contribute to a higher protective effect against anticholinergic neurotoxic effects.


We observed an important association between anticholinergic use at baseline and the risk of developing dementia at 4-year follow-up. In a previous study10 conducted with an independent cohort, we found anticholinergic use to be a risk factor for MCI, but the numbers of patients with dementia were insufficient to determine the risk of dementia incidence. In the present study, we observed that chronic anticholinergic users were at higher risk of incident dementia compared with nonusers or persons having discontinued intake at the beginning of the follow-up. Although this finding has not been previously reported to our knowledge, it agrees with the study by Perry et al40 on autopsied patients with Parkinson disease treated with anticholinergics; Alzheimer-type disease was observed in patients who had been treated for more than 2 years compared with those treated with short-term anticholinergics or untreated patients.

Several mechanisms may be postulated to explain how anticholinergic drug use may increase dementia risk. One possibility is neurotransmitter downregulation.41 There is also the possibility of misdiagnosis of early dementia when in fact the patients are experiencing cognitive decline secondary to anticholinergic drug use.

Study limitations

The data concerning some of the covariates were self-reported, with eventual subsequent recall bias. Bias could also have been introduced through the exclusion of participants, those lost to follow-up being more likely to have dementia and to be female, older, and with lower education level and baseline cognitive scores and more frequent use of anticholinergics. The higher dropout rate in this group may also limit the generalizability of our results. Furthermore, there are several methods for estimating anticholinergic burden. All of them have merits and limitations, with no ideal evidence-based approach.42 We did not use in vitro or ex vivo measurement of anticholinergic activity (using radio-labeled muscarinic agonist) but rather a method based on anticholinergic drug lists, which is the only clinically useful method for routine clinical practice. We did not consider treatment compliance, which may have caused classification bias. Because we did not have data on precise duration of medication use, we could not definitively address the question of whether the effects are essentially transient or whether prolonged use could precipitate nonreversible dementia. Besides, we cannot exclude the possibility that there are other unknown factors, including subclinical disease (in addition to that detectable through the analysis of lipids, glycemia, and hypertension), which may confound the association between anticholinergic report and cognitive decline or dementia. Finally, because multiple analyses have been performed, we cannot exclude the possibility that some observed associations were the result of a chance finding.

Study strengths

The data used in the analysis come from a large, multicenter, population-based prospective study of people 65 years or older. Anticholinergic use was verified by examining the prescriptions and medications themselves, thus minimizing exposure misclassification. We have already reported within the same cohort that interviews and reimbursement data could estimate current exposure to chronically used drugs (including anticholinergic medication) similarly, with the advantage of self-medication being better described with interviews.43 Finally, we have taken into account a wide range of competing causes of cognitive dysfunction in elderly individuals by controlling for sociodemographic, genetic, health, and lifestyle covariates and thus limiting any potential confounding. Despite this, there were only minor changes between the unadjusted and adjusted analysis, notably after adjusting for diseases associated with anticholinergic indication, suggesting independence of associations.

In conclusion, findings from this study suggest that the use of medication with anticholinergic effects was associated with an increased risk of cognitive dysfunction and dementia in elderly persons. Discontinuing anticholinergic treatment was associated with a decreased risk. Physicians should monitor current anticholinergic drug use in elderly patients and seek pharmacological alternatives before considering administration of neuroprotective medications to persons with MCI, thus escalating a prescription cascade involving cholinesterase inhibitors and anticholinergic drugs.10,44,45 This is especially important considering that long-term concomitant therapy with anticholinergics may be associated with clinically significant deleterious effects on acetylcholinesterase therapy and may have adverse effects on the clinical course of Alzheimer disease.46,47

Correspondence: Marie-Laure Ancelin, PhD, Inserm, U888, Hôpital La Colombiere, pav 42, 39, avenue C. Flahault, BP 34493, 34093 Montpellier CEDEX 5, France (marie-laure.ancelin@inserm.fr).

Accepted for Publication: April 30, 2009.

Author Contributions:Study concept and design: Dartigues, Ritchie, and Ancelin. Acquisition of data: Dartigues and Rouaud. Analysis and interpretation of data: Carrière, Fourrier-Reglat, Pasquier, and Ancelin. Drafting of the manuscript: Carrière, Fourrier-Reglat, and Ancelin. Critical revision of the manuscript for important intellectual content: Dartigues, Rouaud, Pasquier, and Ritchie. Statistical analysis: Carrière, Fourrier-Reglat, and Ancelin. Obtained funding: Dartigues and Ritchie. Study supervision: Ancelin.

Financial Disclosure: None reported.

Funding/ Support: The 3C Study is conducted under a partnership agreement between Inserm, the Victor Segalen–Bordeaux II University, and Sanofi-Aventis. The 3C-Study is also supported by the Caisse Nationale Maladie des Travailleurs Salariés, Direction Générale de la Santé, Mutuelle Générale de l’Education Nationale, Institut de la Longévité, Agence Française de Sécurité Sanitaire des Produits de Santé, the Regional Governments of Aquitaine, Bourgogne and Languedoc-Roussillon, Fondation de France, and the Ministry of Research-Inserm Programme “Cohorts and collection of biological material.” The Lille Génopôle received an unconditional grant from Eisai. The Fondation pour la Recherche Médicale funded the preparation and first phase of the study.

Additional Information: An eTable is available at http://www.archinternmed.com.

Additional Contributions: The Génopôle of Lille, the Laboratories of Biochemistry of the University Hospitals of Dijon and Montpellier, the Town Council of Dijon, and the Conseil Général of Côte d'Or contributed to this study.

Moore  ARO'Keeffe  ST Drug-induced cognitive impairment in the elderly.  Drugs Aging 1999;15 (1) 15- 28PubMedGoogle ScholarCrossref
Hilmer  SN McLachlan  AJLe Couteur  DG Clinical pharmacology in the geriatric patient.  Fundam Clin Pharmacol 2007;21 (3) 217- 230PubMedGoogle ScholarCrossref
Mulsant  BHPollock  BGKirshner  MShen  CDodge  HGanguli  M Serum anticholinergic activity in a community-based sample of older adults: relationship with cognitive performance.  Arch Gen Psychiatry 2003;60 (2) 198- 203PubMedGoogle ScholarCrossref
Lechevallier-Michel  NMolimard  MDartigues  JFFabrigoule  CFourrier-Reglat  A Drugs with anticholinergic properties and cognitive performance in the elderly: results from the PAQUID Study.  Br J Clin Pharmacol 2005;59 (2) 143- 151PubMedGoogle ScholarCrossref
Cao  YJMager  DESimonsick  EM  et al.  Physical and cognitive performance and burden of anticholinergics, sedatives, and ACE inhibitors in older women.  Clin Pharmacol Ther 2008;83 (3) 422- 429PubMedGoogle ScholarCrossref
Cancelli  IGigli  GLPiani  A  et al.  Drugs with anticholinergic properties as a risk factor for cognitive impairment in elderly people: a population-based study.  J Clin Psychopharmacol 2008;28 (6) 654- 659PubMedGoogle ScholarCrossref
Nebes  RDPollock  BGMeltzer  CC  et al.  Serum anticholinergic activity, white matter hyperintensities, and cognitive performance.  Neurology 2005;65 (9) 1487- 1489PubMedGoogle ScholarCrossref
Hilmer  SNMager  DESimonsick  EM  et al.  A drug burden index to define the functional burden of medications in older people.  Arch Intern Med 2007;167 (8) 781- 787PubMedGoogle ScholarCrossref
Bottiggi  KASalazar  JCYu  L  et al.  Long-term cognitive impact of anticholinergic medications in older adults.  Am J Geriatr Psychiatry 2006;14 (11) 980- 984PubMedGoogle ScholarCrossref
Ancelin  MLArtero  SPortet  FDupuy  AMTouchon  JRitchie  K Non-degenerative mild cognitive impairment in elderly people and use of anticholinergic drugs: longitudinal cohort study.  BMJ 2006;332 (7539) 455- 459PubMedGoogle ScholarCrossref
Han  LAgostini  JVAllore  HG Cumulative anticholinergic exposure is associated with poor memory and executive function in older men.  J Am Geriatr Soc 2008;56 (12) 2203- 2210PubMedGoogle ScholarCrossref
Pomara  NBelzer  KHernando  RDe La Pena  CSidtis  JJ Increased mental slowing associated with the APOE epsilon4 allele after trihexyphenidyl oral anticholinergic challenge in healthy elderly.  Am J Geriatr Psychiatry 2008;16 (2) 116- 124PubMedGoogle ScholarCrossref
Pomara  NWilloughby  LMWesnes  KSidtis  JJ Increased anticholinergic challenge-induced memory impairment associated with the APOE-epsilon4 allele in the elderly: a controlled pilot study.  Neuropsychopharmacology 2004;29 (2) 403- 409PubMedGoogle ScholarCrossref
Artero  SAncelin  MLPortet  F  et al.  Risk profiles for mild cognitive impairment and progression to dementia are gender specific.  J Neurol Neurosurg Psychiatry 2008;79 (9) 979- 984PubMedGoogle ScholarCrossref
Dumas  JHancur-Bucci  CNaylor  MSites  CNewhouse  P Estrogen treatment effects on anticholinergic-induced cognitive dysfunction in normal postmenopausal women.  Neuropsychopharmacology 2006;31 (9) 2065- 2078PubMedGoogle ScholarCrossref
Dumas  JHancur-Bucci  CNaylor  MSites  CNewhouse  P Estradiol interacts with the cholinergic system to affect verbal memory in postmenopausal women: evidence for the critical period hypothesis.  Horm Behav 2008;53 (1) 159- 169PubMedGoogle ScholarCrossref
3C Study Group, Vascular factors and risk of dementia: Design of the three city study and baseline characteristics of the study population.  Neuroepidemiology 2003;22 (6) 316- 325PubMedGoogle ScholarCrossref
Isaacs  BKennie  AT The Set test as an aid to the detection of dementia in old people.  Br J Psychiatry 1973;123 (575) 467- 470PubMedGoogle ScholarCrossref
Benton  A  Manuel pour l'Application du Test de Rétention Visuelle: Applications Cliniques et Expérimentales.   Paris, France Centre de Psychologie Appliquée1965;
Reitan  R Validity of the Trail Making Test as an indicator of organic brain damage.  Percept Mot Skills 1958;8271- 276Google ScholarCrossref
Folstein  MFFolstein  SE McHugh  PR “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician.  J Psychiatr Res 1975;12 (3) 189- 198PubMedGoogle ScholarCrossref
Ritchie  KCarriere  Ide Mendonca  A  et al.  The neuroprotective effects of caffeine: a prospective population study (the Three City Study).  Neurology 2007;69 (6) 536- 545PubMedGoogle ScholarCrossref
American Psychiatric Association,  Diagnostic and Statistical Manual of Mental Disorders (DSM-IV).  4th ed. Washington, DC American Psychiatric Association1994;
World Health Organization,  World Health Organization Collaborating Centre for Drug Statistics Methodology: Guidelines for ATC Classification and DDD Assignment.   Oslo, Norway WHO2000;
 Thériaque Web site. http://www.theriaque.org. Accessed January 15, 2009
 Banque de Données Automatisée sur les Médicaments (BIAM) Web site. http://www2.biam2.org. Accessed January 15, 2009
 VIDAL Web site. http://www.vidal.fr. Accessed January 15, 2009
Radloff  L The CES-D scale: a self-report depression scale for research in the general population.  Appl Psychol Meas 1977;1 (3) 385- 401Google ScholarCrossref
Commenges  DLetenneur  LJoly  PAlioum  ADartigues  JF Modelling age-specific risk: application to dementia.  Stat Med 1998;17 (17) 1973- 1988PubMedGoogle ScholarCrossref
Hejl  AHogh  PWaldemar  G Potentially reversible conditions in 1000 consecutive memory clinic patients.  J Neurol Neurosurg Psychiatry 2002;73 (4) 390- 394PubMedGoogle ScholarCrossref
Ritchie  KArtero  STouchon  J Classification criteria for mild cognitive impairment: a population-based validation study.  Neurology 2001;56 (1) 37- 42PubMedGoogle ScholarCrossref
Fernaeus  SEAlmkvist  O Word production: dissociation of two retrieval modes of semantic memory across time.  J Clin Exp Neuropsychol 1998;20 (2) 137- 143PubMedGoogle ScholarCrossref
Flicker  CFerris  SHSerby  M Hypersensitivity to scopolamine in the elderly.  Psychopharmacology (Berl) 1992;107 (2-3) 437- 441PubMedGoogle ScholarCrossref
Molchan  SEMartinez  RAHill  JL  et al.  Increased cognitive sensitivity to scopolamine with age and a perspective on the scopolamine model.  Brain Res Brain Res Rev 1992;17 (3) 215- 226PubMedGoogle ScholarCrossref
Ray  PGMeador  KJLoring  DWZamrini  EWYang  XHBuccafusco  JJ Central anticholinergic hypersensitivity in aging.  J Geriatr Psychiatry Neurol 1992;5 (2) 72- 77PubMedGoogle ScholarCrossref
Bowie  MWSlattum  PW Pharmacodynamics in older adults: a review.  Am J Geriatr Pharmacother 2007;5 (3) 263- 303PubMedGoogle ScholarCrossref
Ancelin  MLRitchie  K Lifelong endocrine fluctuations and related cognitive disorders.  Curr Pharm Des 2005;11 (32) 4229- 4252PubMedGoogle ScholarCrossref
Fleisher  AGrundman  MJack  CR  Jr  et al. Alzheimer's Disease Cooperative Study, Sex, apolipoprotein E epsilon 4 status, and hippocampal volume in mild cognitive impairment.  Arch Neurol 2005;62 (6) 953- 957PubMedGoogle ScholarCrossref
Yaffe  KHaan  MByers  ATangen  CKuller  L Estrogen use, APOE, and cognitive decline: evidence of gene-environment interaction.  Neurology 2000;54 (10) 1949- 1954PubMedGoogle ScholarCrossref
Perry  EKKilford  LLees  AJBurn  DJPerry  RH Increased Alzheimer pathology in Parkinson's disease related to antimuscarinic drugs.  Ann Neurol 2003;54 (2) 235- 238PubMedGoogle ScholarCrossref
Fisher  APittel  ZHaring  R  et al.  M1 muscarinic agonists can modulate some of the hallmarks in Alzheimer's disease: implications in future therapy.  J Mol Neurosci 2003;20 (3) 349- 356PubMedGoogle ScholarCrossref
Rudd  KMRaehl  CLBond  CAAbbruscato  TJStenhouse  AC Methods for assessing drug-related anticholinergic activity.  Pharmacotherapy 2005;25 (11) 1592- 1601PubMedGoogle ScholarCrossref
Noize  PBazin  FDufouil  C  et al.  Comparison of health insurance claims and patient interviews in assessing drug use: data from the Three-City (3C) Study.  Pharmacoepidemiol Drug Saf 2009;18 (4) 310- 319PubMedGoogle ScholarCrossref
Rochon  PAGurwitz  JH Optimising drug treatment for elderly people: the prescribing cascade.  BMJ 1997;315 (7115) 1096- 1099PubMedGoogle ScholarCrossref
Gill  SSMamdani  MNaglie  G  et al.  A prescribing cascade involving cholinesterase inhibitors and anticholinergic drugs.  Arch Intern Med 2005;165 (7) 808- 813PubMedGoogle ScholarCrossref
Lu  CJTune  LE Chronic exposure to anticholinergic medications adversely affects the course of Alzheimer disease.  Am J Geriatr Psychiatry 2003;11 (4) 458- 461PubMedGoogle ScholarCrossref
Cancelli  IValentinis  LMerlino  GValente  MGigli  GL Drugs with anticholinergic properties as a risk factor for psychosis in patients affected by Alzheimer's disease.  Clin Pharmacol Ther 2008;84 (1) 63- 68PubMedGoogle ScholarCrossref