Abstract

Background

Multiple comorbidities are common in older adults, resulting in polypharmacy that often includes medications with anticholinergic properties. These medications have multiple side effects, which are more pronounced in the older population. This study examined the association between the use of anticholinergics and changes in the cognitive function of older adults.

Methods

The study population consisted of 2,222 individuals aged 65–69 years at baseline from the Personality and Total Health (PATH) Through Life Study in Australia. Medication data were obtained from the Pharmaceutical Benefits Scheme (PBS). Cognitive measures were obtained from neuropsychological battery assessment. Exposure to cumulative anticholinergic use was quantified to a total standardized daily dose (TSDD). The association between change in cognitive measures between baseline and 4-year follow-up, and cumulative use of anticholinergic was assessed through generalized linear models.

Results

During the study period, 18.6% (n = 413) of participants filled at least one prescription for anticholinergics. Compared to those not on anticholinergics, participants on anticholinergics were more likely to be woman (62.7% compared to 45.1%) and spent lesser time engaging in vigorous physical activity (0.4 h/week compared to 0.9 h/week). Cumulative use of anticholinergic resulting in a TSDD exceeding 1,095 was significantly associated with poorer performance in Trail Making Test Part B (Model 1: β = 5.77, Model 2: β = 5.33, Model 3: β = 8.32, p < .01), indicating impairment in processing speed.

Conclusions

In our study, except for speed of processing, other cognitive domains measured were not affected by cumulative anticholinergic use over a 4-year period.

Multiple comorbidities are common among older adults. Studies show that the prevalence of comorbidities increases with age (1,2). Almost 62% of adults aged 65 years and above report having several chronic conditions (3). These conditions are inevitably managed with pharmaceutical agents, resulting in 90% of older adults using at least one prescribed medication, many of which contain anticholinergic agents (4). A significant number of both institutionalized older adults (approximately 40%) and community-dwelling older adults (50%) is prescribed at least one medication with anticholinergic properties (5,6).

Medications with anticholinergic properties function by inhibiting the transmission of acetylcholine in the central nervous system through their antagonistic effects on muscarinic receptors (7). In older adults, the association between the use of anticholinergics and central nervous system adverse effects is particularly important. In this population, the benefits of using medications with strong anticholinergic properties are outweighed by the risks associated with these medications (8). Medications with anticholinergic properties result in adverse effects ranging from peripheral side effects such as dry mouth to more serious central nervous system side effects such as hallucinations (9).

The effects of medications with anticholinergic properties can be particularly profound in older adults due to age-related physiological changes in these individuals. These changes include increased permeability of the blood–brain barrier, fewer cholinergic receptors in the brain, and suboptimal hepatic and renal function (10). While earlier studies implied that anticholinergic-induced adverse effects were largely reversible upon discontinuation, more recent studies challenge this, demonstrating that anticholinergics may cause pathophysiological changes resulting in cognitive impairment that is not as easily reversible as previously suggested (11,12). Anticholinergic drugs also increase the risk of falls among older adults, particularly those with cognitive impairment (13). Older adults using anticholinergics are reported to have a higher incidence of Alzheimer’s disease (AD) and dementia (14,15).

This study examined the impact of cumulative use of medications with anticholinergic properties on multiple cognitive domains among individuals aged 60 years and above over a period of 4 years. We also examined if the presence of apolipoprotein E (APOE) epsilon 4 (ε4) genotype modifies these associations.

Method

Study Design

The Personality and Total Health (PATH) Through Life Study is an ongoing longitudinal cohort study that assesses the lifespan course of multiple diseases and well-being among community-dwelling Australian adults. To date, the PATH study has followed three cohorts of participants, starting at ages 20–24 years, 40–44 years, and 60–64 years for approximately 19 years. The study participants are from three narrow age cohorts with birth years of 1975–1979 (the 20+ cohort), 1956–1960 (the 40+ cohort), and 1937–1941 (the 60+ cohort), respectively. Participants of all three cohorts were randomly sampled from the electoral rolls of the Australian Capital Territory (ACT) and Queanbeyan, Australia.

Wave 1 of the PATH study began between the years 2000 and 2002, and the three cohorts were followed at 4-year intervals, starting with the youngest cohort, with each cohort being interviewed successively over a 1-year period. Participation rates for follow-up visits across the cohorts range from 89% to 93%. Three substudies derived from subsamples of the main PATH study were conducted. These studies were the magnetic resonance imaging study, the Health and Memory study, and the Cardiovascular study. The PATH study design and study population were described previously (16).

Study Population

The study population consists of participants in the 60+ cohort of the PATH Through Life study. Data of these participants, from the first follow-up wave (Wave 2, year 2005/2006, n = 2,222) to the second follow-up wave (Wave 3, year 2009/2010, n = 1,973), were used. Data from Wave 1 of the PATH study was excluded in this analysis, as medication data were not available for Wave 1 of the PATH study. The Australian National University Ethics Committee approved the PATH Through Life study. Study participants provided written informed consent to participate in this study and to allow their data to be linked to the Australian Government Pharmaceutical Benefits Scheme (PBS) data.

Exposure Measure

Data on prescription medication use of study participants were obtained from the PBS. The PBS is a list of medications that can be dispensed to patients at a subsidized rate from the government of Australia. This service is available to all Australian citizens, permanent residents, and individuals visiting Australia from countries that have a reciprocal healthcare agreement with Australia. Eligible patients pay a nominal co-payment for medications on the PBS list, with the remaining cost of the medications being paid by the Australian government. Detailed explanation on the PBS and its use in pharmaco-epidemiology research is explained elsewhere (17,18).

The use of medications with anticholinergic properties between Wave 2 and Wave 3 of the PATH study was determined for the exposure measure. Medications with anticholinergic properties were identified using the Anticholinergic Risk Scale (ARS) (19) and the Anticholinergic Drug Scale (ADS) (20). In the ARS, medications are classified as having limited or no anticholinergic potential (rated 0), moderate anticholinergic potential (rated 1), strong anticholinergic potential (rated 2), or very strong anticholinergic potential (rated 3). In the ADS, medications are classified as having potential anticholinergic potential (rated 1), moderate anticholinergic potential (rated 2), and marked anticholinergic potential (rated 3). For this study, medications rated 1 on the ADS and 0 on the ARS were excluded. Medications not on either of the scale but classified as highly anticholinergic in the American Geriatrics Society 2012 Beers Criteria for potentially inappropriate medication use in older adults were included. Using data linkage to the PBS database, prescriptions filled for the selected medications by study participants during the study period were identified.

The exposure measure for medications with anticholinergic properties was the cumulative total standardized daily dose (TSDD). To derive the TSSD, the total dose of medications with anticholinergic properties in each prescription was calculated by multiplying medication strength with the number of tablets. This value was then divided by the medication-specific recommended minimum effective daily dose per day to derive the standardized daily dose (SDD) (21). For each study participant, SDD for all medications taken between Wave 2 and Wave 3 of the PATH study was summed to derive the cumulative TSDD. Study participants were then classified into categories of cumulative TSDD based on clinical significance (22). The list of medications used by participants in this study is presented in Table 1.

Table 1.

List of Medications with Anticholinergic Properties Used by Study Participants in the 60+ Cohort of the PATH Through Life Study Between Wave 2 and Wave 3 (Minimum Effective Dose)(21)

Antihistamines

  • Cyproheptadine (4 mg)

  • Cetirizine (5 mg)

  • Loratadine (10 mg) Antidepressants

  • Amitriptyline (10 mg)

  • Clomipramine (25 mg)

  • Doxepin (10 mg)

  • Imipramine (10 mg)

  • Nortriptyline (10 mg)

  • Paroxetine (10 mg)

  • Mirtazepine (7.5mg) Antivertigo/antiemetic

  • Prochlorperazine (15 mg)

  • Promethazine (50 mg)

  • Metoclopramide (10 mg) Antacids and antihistamines

  • Ranitidine (150 mg)

Antiparkinson agents

  • Benztropine (0.5 mg)

  • Trihexyphenidyl (6 mg)

  • Amantadine (100 mg)

  • Levodopa (100 mg)

  • Carbidopa (25 mg)

  • Pramipexole (0.125 mg)

  • Entacapone (200 mg) Antipsychotics

  • Chlorpromazine (10 mg)

  • Olanzapine (2.5 mg)

  • Quetiapine (50 mg)

  • Haloperidol (0.25 mg)

  • Risperidone (0.25 mg) Bladder antimuscarinics

  • Oxybutynin ºPatch (3.9 mg) ºOral (5 mg)

Gastrointestinal antispasmodics

  • Propantheline (22.5 mg)

  • Loperamide (4 mg)

Skeletal muscle relaxants

  • Baclofen (5 mg) Anticonvulsant

  • Carbamazepine (400 mg)

Antihistamines

  • Cyproheptadine (4 mg)

  • Cetirizine (5 mg)

  • Loratadine (10 mg) Antidepressants

  • Amitriptyline (10 mg)

  • Clomipramine (25 mg)

  • Doxepin (10 mg)

  • Imipramine (10 mg)

  • Nortriptyline (10 mg)

  • Paroxetine (10 mg)

  • Mirtazepine (7.5mg) Antivertigo/antiemetic

  • Prochlorperazine (15 mg)

  • Promethazine (50 mg)

  • Metoclopramide (10 mg) Antacids and antihistamines

  • Ranitidine (150 mg)

Antiparkinson agents

  • Benztropine (0.5 mg)

  • Trihexyphenidyl (6 mg)

  • Amantadine (100 mg)

  • Levodopa (100 mg)

  • Carbidopa (25 mg)

  • Pramipexole (0.125 mg)

  • Entacapone (200 mg) Antipsychotics

  • Chlorpromazine (10 mg)

  • Olanzapine (2.5 mg)

  • Quetiapine (50 mg)

  • Haloperidol (0.25 mg)

  • Risperidone (0.25 mg) Bladder antimuscarinics

  • Oxybutynin ºPatch (3.9 mg) ºOral (5 mg)

Gastrointestinal antispasmodics

  • Propantheline (22.5 mg)

  • Loperamide (4 mg)

Skeletal muscle relaxants

  • Baclofen (5 mg) Anticonvulsant

  • Carbamazepine (400 mg)

Table 1.

List of Medications with Anticholinergic Properties Used by Study Participants in the 60+ Cohort of the PATH Through Life Study Between Wave 2 and Wave 3 (Minimum Effective Dose)(21)

Antihistamines

  • Cyproheptadine (4 mg)

  • Cetirizine (5 mg)

  • Loratadine (10 mg) Antidepressants

  • Amitriptyline (10 mg)

  • Clomipramine (25 mg)

  • Doxepin (10 mg)

  • Imipramine (10 mg)

  • Nortriptyline (10 mg)

  • Paroxetine (10 mg)

  • Mirtazepine (7.5mg) Antivertigo/antiemetic

  • Prochlorperazine (15 mg)

  • Promethazine (50 mg)

  • Metoclopramide (10 mg) Antacids and antihistamines

  • Ranitidine (150 mg)

Antiparkinson agents

  • Benztropine (0.5 mg)

  • Trihexyphenidyl (6 mg)

  • Amantadine (100 mg)

  • Levodopa (100 mg)

  • Carbidopa (25 mg)

  • Pramipexole (0.125 mg)

  • Entacapone (200 mg) Antipsychotics

  • Chlorpromazine (10 mg)

  • Olanzapine (2.5 mg)

  • Quetiapine (50 mg)

  • Haloperidol (0.25 mg)

  • Risperidone (0.25 mg) Bladder antimuscarinics

  • Oxybutynin ºPatch (3.9 mg) ºOral (5 mg)

Gastrointestinal antispasmodics

  • Propantheline (22.5 mg)

  • Loperamide (4 mg)

Skeletal muscle relaxants

  • Baclofen (5 mg) Anticonvulsant

  • Carbamazepine (400 mg)

Antihistamines

  • Cyproheptadine (4 mg)

  • Cetirizine (5 mg)

  • Loratadine (10 mg) Antidepressants

  • Amitriptyline (10 mg)

  • Clomipramine (25 mg)

  • Doxepin (10 mg)

  • Imipramine (10 mg)

  • Nortriptyline (10 mg)

  • Paroxetine (10 mg)

  • Mirtazepine (7.5mg) Antivertigo/antiemetic

  • Prochlorperazine (15 mg)

  • Promethazine (50 mg)

  • Metoclopramide (10 mg) Antacids and antihistamines

  • Ranitidine (150 mg)

Antiparkinson agents

  • Benztropine (0.5 mg)

  • Trihexyphenidyl (6 mg)

  • Amantadine (100 mg)

  • Levodopa (100 mg)

  • Carbidopa (25 mg)

  • Pramipexole (0.125 mg)

  • Entacapone (200 mg) Antipsychotics

  • Chlorpromazine (10 mg)

  • Olanzapine (2.5 mg)

  • Quetiapine (50 mg)

  • Haloperidol (0.25 mg)

  • Risperidone (0.25 mg) Bladder antimuscarinics

  • Oxybutynin ºPatch (3.9 mg) ºOral (5 mg)

Gastrointestinal antispasmodics

  • Propantheline (22.5 mg)

  • Loperamide (4 mg)

Skeletal muscle relaxants

  • Baclofen (5 mg) Anticonvulsant

  • Carbamazepine (400 mg)

Outcome Measures

The outcome of interest in this analysis was change in participants’ cognitive function from Wave 2 to Wave 3 of the PATH study. Cognitive function was assessed using multiple neuropsychology tests targeting key cognitive domains. The Mini-Mental State Examination (MMSE) was used to assess global cognition (23). Short-term memory was assessed through Immediate Recall and Delayed Recall using the California Verbal Learning Test (24). The Wechsler Memory Scale-Digit Span Backward was used to assess working memory (25) and the Symbol-Digit Modalities Test (26) was used to assess information processing. Verbal ability was assessed with Spot-the-Word Task (27) while psychomotor speed and information processing was assessed with Simple Reaction Time and Choice Reaction Time (28). Trail Making Test, parts A and B was used to assess processing speed (29), and executive function while Purdue Pegboard Test was used to assess psychomotor speed (30).

Covariates

Multiple covariates linked to anticholinergic activity and cognitive function were included in the analysis. These included demographic factors such as age, sex, and years of education. Several lifestyle-related covariates were also included. Self-reported smoking status (categorized as current smoker, past smoker, and never smoked), alcohol consumption (assessed as drinks per week), and physical activity (categorized as hours of mild, moderate, and vigorous activity) were also included. Covariates representing clinical risk factors were self-reported stroke, diabetes, and family history of dementia, as well as depression assessed with the Patient Health Questionnaire (PHQ-9) (31). Hypertension status (defined as systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or self-reported use of antihypertensives) and body mass index (BMI) (computed as weight [kg]/height [m2]) were also included. To assess effect modification, the APOE epsilon 4 (ε4) genotype was added as a covariate of interest in this analysis. Genotyping for APOE variants in the PATH study population has been described elsewhere (32).

Statistical Analysis

Data analysis was completed in SAS (v.9.4, SAS Institute Inc., Cary, North Carolina). Demographic and health-related characteristics for the PATH study population at Wave 2, based on their exposure to medications with anticholinergic properties, were examined with bivariate analysis using t-tests and Fisher’s Exact Test. Generalized Linear Models (GLM) were used to assess the association between medications with anticholinergic properties and change in cognitive function, and the effect modification of these associations by APOE-ε4 alleles. Three statistical models were used to assess these associations. Model 1 is an unadjusted model, while Model 2 adjusted for age, sex, and years of education. Additional to demographic factors in Model 2, Model 3 adjusted for lifestyle factors (smoking, alcohol consumption, and physical activity), clinical factors (stroke, diabetes, depression, family history of dementia, and BMI), and APOE-ε4 alleles. To minimize Type 1 error due to multiple comparisons, statistical significance was maintained at .01.

Results

Table 2 describes the characteristics of this study population at baseline based on their exposure to medications with anticholinergic properties. Of the 2,222 individuals, 413 filled at least one prescription for medication with anticholinergic properties during the study period. Participants on anticholinergics were more likely to be female compared to those not on anticholinergics (62.7% compared to 45.1%). Individuals not on anticholinergics had a lower BMI (26.6 compared to 27.7) and spent more time doing vigorous physical activity (0.9 hours/week compared to 0.4 hours/week). The percentage of participants with a history of stroke (5.7% compared to 2.2%), diabetes (13.6% compared to 9.4%), and depression (16.2% compared to 8.5%) was higher in the group exposed to anticholinergics.

Table 2.

Baseline Characteristics of Study Participants According to Anticholinergic Use: PATH Through Life Study, Wave 2, 2005–2006

Not Using Anticholinergics (N = 1,809)Using Anticholinergics (N = 413)
Demographic factors
Age (years), mean (std)66.6 (1.5)66.6 (1.5)
Gender, n (%)***
 Male993 (54.9)154 (37.3)
 Female816 (45.1)259 (62.7)
Race, n (%)
 White1,738 (96.1)395 (95.9)
 Asian40 (2.2)12 (2.9)
 Other30 (1.7)5 (1.2)
Education (years), mean (std)***14.0 (2.7)13.4 (2.6)
Marital status, n (%)
 Married1,346 (74.4)296 (71.7)
 Unmarried living with a partner67 (3.7)9 (2.2)
 Separated30 (1.7)15 (3.6)
 Divorced175 (9.7)45 (10.9)
 Widowed148 (8.2)40 (9.7)
 Never married42 (2.3)8 (1.9)
Employment status, n (%)***
 Employed full-time184 (10.2)13 (3.1)
 Employed part-time, looking for full-time employment2 (0.1)0 (0)
 Employed part-time327 (18.1)55 (13.3)
 Unemployed, looking for work3 (0.2)0 (0)
 Not in the labor force1,292 (71.5)345 (83.5)
Lifestyle factors
Smoking status, n (%)
 Never smoked972 (53.8)204 (49.5)
 Past smoker662 (36.6)167 (40.5)
 Current smoker174 (9.6)41 (10.0)
Alcohol consumption (drinks per week), mean (std)**7.1 (8.7)5.7 (7.5)
Physical activity (h/wk), mean (std)7.8 (8.6)8.2 (10.5)
 Mild activity2.8 (4.5)2.7 (4.5)
 Moderate activity0.9 (0.4)0.4 (1.2)
 Vigorous activity***
History of stroke, n (%)***
 Yes39 (2.2)23 (5.7)
 No1,731 (97.8)379 (94.3)
History of diabetes, n (%)**
 Yes163 (9.4)55 (13.6)
 No1,576 (90.6)349 (86.4)
History of hypertension, n (%)
 Yes606 (34.1)128 (31.4)
 No1,173 (65.9)280 (68.6)
BMI, mean (std)***26.6 (4.6)27.7 (5.7)
Depression, n (%)***
 No depression1,628 (91.5)337 (83.8)
 Subsyndromal depression71 (4.0)37 (9.2)
 Minor depression51 (2.9)16 (4.0)
 Major depression30 (1.7)12 (3.0)
Family history of dementia, n (%)
 Yes282 (21.5)58 (19.6)
 No1,031 (78.5)238 (80.4)
Apolipoprotein ε4 allele, n (%)
 ε4−/ε4−1,231 (72.2)301 (75.8)
 ε4+/ε4−445 (26.1)86 (21.7)
 ε4+/ε4+28 (1.6)10 (2.5)
Not Using Anticholinergics (N = 1,809)Using Anticholinergics (N = 413)
Demographic factors
Age (years), mean (std)66.6 (1.5)66.6 (1.5)
Gender, n (%)***
 Male993 (54.9)154 (37.3)
 Female816 (45.1)259 (62.7)
Race, n (%)
 White1,738 (96.1)395 (95.9)
 Asian40 (2.2)12 (2.9)
 Other30 (1.7)5 (1.2)
Education (years), mean (std)***14.0 (2.7)13.4 (2.6)
Marital status, n (%)
 Married1,346 (74.4)296 (71.7)
 Unmarried living with a partner67 (3.7)9 (2.2)
 Separated30 (1.7)15 (3.6)
 Divorced175 (9.7)45 (10.9)
 Widowed148 (8.2)40 (9.7)
 Never married42 (2.3)8 (1.9)
Employment status, n (%)***
 Employed full-time184 (10.2)13 (3.1)
 Employed part-time, looking for full-time employment2 (0.1)0 (0)
 Employed part-time327 (18.1)55 (13.3)
 Unemployed, looking for work3 (0.2)0 (0)
 Not in the labor force1,292 (71.5)345 (83.5)
Lifestyle factors
Smoking status, n (%)
 Never smoked972 (53.8)204 (49.5)
 Past smoker662 (36.6)167 (40.5)
 Current smoker174 (9.6)41 (10.0)
Alcohol consumption (drinks per week), mean (std)**7.1 (8.7)5.7 (7.5)
Physical activity (h/wk), mean (std)7.8 (8.6)8.2 (10.5)
 Mild activity2.8 (4.5)2.7 (4.5)
 Moderate activity0.9 (0.4)0.4 (1.2)
 Vigorous activity***
History of stroke, n (%)***
 Yes39 (2.2)23 (5.7)
 No1,731 (97.8)379 (94.3)
History of diabetes, n (%)**
 Yes163 (9.4)55 (13.6)
 No1,576 (90.6)349 (86.4)
History of hypertension, n (%)
 Yes606 (34.1)128 (31.4)
 No1,173 (65.9)280 (68.6)
BMI, mean (std)***26.6 (4.6)27.7 (5.7)
Depression, n (%)***
 No depression1,628 (91.5)337 (83.8)
 Subsyndromal depression71 (4.0)37 (9.2)
 Minor depression51 (2.9)16 (4.0)
 Major depression30 (1.7)12 (3.0)
Family history of dementia, n (%)
 Yes282 (21.5)58 (19.6)
 No1,031 (78.5)238 (80.4)
Apolipoprotein ε4 allele, n (%)
 ε4−/ε4−1,231 (72.2)301 (75.8)
 ε4+/ε4−445 (26.1)86 (21.7)
 ε4+/ε4+28 (1.6)10 (2.5)

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Table 2.

Baseline Characteristics of Study Participants According to Anticholinergic Use: PATH Through Life Study, Wave 2, 2005–2006

Not Using Anticholinergics (N = 1,809)Using Anticholinergics (N = 413)
Demographic factors
Age (years), mean (std)66.6 (1.5)66.6 (1.5)
Gender, n (%)***
 Male993 (54.9)154 (37.3)
 Female816 (45.1)259 (62.7)
Race, n (%)
 White1,738 (96.1)395 (95.9)
 Asian40 (2.2)12 (2.9)
 Other30 (1.7)5 (1.2)
Education (years), mean (std)***14.0 (2.7)13.4 (2.6)
Marital status, n (%)
 Married1,346 (74.4)296 (71.7)
 Unmarried living with a partner67 (3.7)9 (2.2)
 Separated30 (1.7)15 (3.6)
 Divorced175 (9.7)45 (10.9)
 Widowed148 (8.2)40 (9.7)
 Never married42 (2.3)8 (1.9)
Employment status, n (%)***
 Employed full-time184 (10.2)13 (3.1)
 Employed part-time, looking for full-time employment2 (0.1)0 (0)
 Employed part-time327 (18.1)55 (13.3)
 Unemployed, looking for work3 (0.2)0 (0)
 Not in the labor force1,292 (71.5)345 (83.5)
Lifestyle factors
Smoking status, n (%)
 Never smoked972 (53.8)204 (49.5)
 Past smoker662 (36.6)167 (40.5)
 Current smoker174 (9.6)41 (10.0)
Alcohol consumption (drinks per week), mean (std)**7.1 (8.7)5.7 (7.5)
Physical activity (h/wk), mean (std)7.8 (8.6)8.2 (10.5)
 Mild activity2.8 (4.5)2.7 (4.5)
 Moderate activity0.9 (0.4)0.4 (1.2)
 Vigorous activity***
History of stroke, n (%)***
 Yes39 (2.2)23 (5.7)
 No1,731 (97.8)379 (94.3)
History of diabetes, n (%)**
 Yes163 (9.4)55 (13.6)
 No1,576 (90.6)349 (86.4)
History of hypertension, n (%)
 Yes606 (34.1)128 (31.4)
 No1,173 (65.9)280 (68.6)
BMI, mean (std)***26.6 (4.6)27.7 (5.7)
Depression, n (%)***
 No depression1,628 (91.5)337 (83.8)
 Subsyndromal depression71 (4.0)37 (9.2)
 Minor depression51 (2.9)16 (4.0)
 Major depression30 (1.7)12 (3.0)
Family history of dementia, n (%)
 Yes282 (21.5)58 (19.6)
 No1,031 (78.5)238 (80.4)
Apolipoprotein ε4 allele, n (%)
 ε4−/ε4−1,231 (72.2)301 (75.8)
 ε4+/ε4−445 (26.1)86 (21.7)
 ε4+/ε4+28 (1.6)10 (2.5)
Not Using Anticholinergics (N = 1,809)Using Anticholinergics (N = 413)
Demographic factors
Age (years), mean (std)66.6 (1.5)66.6 (1.5)
Gender, n (%)***
 Male993 (54.9)154 (37.3)
 Female816 (45.1)259 (62.7)
Race, n (%)
 White1,738 (96.1)395 (95.9)
 Asian40 (2.2)12 (2.9)
 Other30 (1.7)5 (1.2)
Education (years), mean (std)***14.0 (2.7)13.4 (2.6)
Marital status, n (%)
 Married1,346 (74.4)296 (71.7)
 Unmarried living with a partner67 (3.7)9 (2.2)
 Separated30 (1.7)15 (3.6)
 Divorced175 (9.7)45 (10.9)
 Widowed148 (8.2)40 (9.7)
 Never married42 (2.3)8 (1.9)
Employment status, n (%)***
 Employed full-time184 (10.2)13 (3.1)
 Employed part-time, looking for full-time employment2 (0.1)0 (0)
 Employed part-time327 (18.1)55 (13.3)
 Unemployed, looking for work3 (0.2)0 (0)
 Not in the labor force1,292 (71.5)345 (83.5)
Lifestyle factors
Smoking status, n (%)
 Never smoked972 (53.8)204 (49.5)
 Past smoker662 (36.6)167 (40.5)
 Current smoker174 (9.6)41 (10.0)
Alcohol consumption (drinks per week), mean (std)**7.1 (8.7)5.7 (7.5)
Physical activity (h/wk), mean (std)7.8 (8.6)8.2 (10.5)
 Mild activity2.8 (4.5)2.7 (4.5)
 Moderate activity0.9 (0.4)0.4 (1.2)
 Vigorous activity***
History of stroke, n (%)***
 Yes39 (2.2)23 (5.7)
 No1,731 (97.8)379 (94.3)
History of diabetes, n (%)**
 Yes163 (9.4)55 (13.6)
 No1,576 (90.6)349 (86.4)
History of hypertension, n (%)
 Yes606 (34.1)128 (31.4)
 No1,173 (65.9)280 (68.6)
BMI, mean (std)***26.6 (4.6)27.7 (5.7)
Depression, n (%)***
 No depression1,628 (91.5)337 (83.8)
 Subsyndromal depression71 (4.0)37 (9.2)
 Minor depression51 (2.9)16 (4.0)
 Major depression30 (1.7)12 (3.0)
Family history of dementia, n (%)
 Yes282 (21.5)58 (19.6)
 No1,031 (78.5)238 (80.4)
Apolipoprotein ε4 allele, n (%)
 ε4−/ε4−1,231 (72.2)301 (75.8)
 ε4+/ε4−445 (26.1)86 (21.7)
 ε4+/ε4+28 (1.6)10 (2.5)

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Table 3 presents the mean change in the cognitive tests scores from baseline to follow-up according to the different levels of exposure to anticholinergics. There was generally a decline in the cognitive function in the study population from baseline to follow-up. This decline was seen across the comparison groups.

Table 3.

Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (Mean and SD)

MMSEImm. RecallDel. Recall§Digit Back||
No use
Baseline29.2 (1.3)6.9 (2.2)6.1 (2.4)5.2 (2.2)
Follow-up29.0 (1.3)6.6 (2.2)5.8 (2.4)5.0 (2.2)
Change−0.2 (0.02)***−0.3 (0.03)***−0.3 (0.04)***−0.2 (0.03)***
TSDD 1–90
Baseline29.3 (1.2)7.3 (2.3)6.4 (2.3)4.9 (2.1)
Follow-up29.0 (1.4)6.9 (2.4)6.2 (2.4)4.7 (2.2)
Change−0.3 (0.1)***−0.4 (0.1)**−0.2 (0.1)−0.2 (0.1)*
TSDD 91–365
Baseline28.9 (1.3)6.7 (2.5)5.5 (2.7)4.8 (2.1)
Follow-up28.7 (1.8)6.0 (2.1)5.3 (2.3)4.6 (2.1)
Change−0.2 (0.2)−0.7 (0.3)−0.2 (0.3)−0.2 (0.2)
TSDD 366–1,095
Baseline29.2 (0.9)7.1 (2.1)6.1 (2.1)5.1 (2.4)
Follow-up29.2 (1.0)6.3 (2.1)5.6 (2.1)4.7 (2.2)
Change0 (0.1)−0.8 (0.2)***−0.5 (0.2)−0.4 (0.2)
TSDD >1,095
Baseline29.0 (1.3)6.5 (2.4)5.8 (2.6)4.6 (2.1)
Follow-up28.8 (1.5)6.2 (2.4)5.4 (2.4)4.6 (2.1)
Change−0.2 (0.1)*−0.3 (0.1)*−0.4 (0.1)***0 (0.1)
SpotSDMT#PPEG (DH)††PPEG (NDH)‡‡PPEG (BH)§§
No use
Baseline52.9 (5.4)49.5 (9.4)13.5 (2.1)12.7 (2.0)10.4 (1.8)
Follow-up52.9 (5.3)47.2 (9.7)12.2 (2.1)11.6 (2.0)9.4 (1.9)
Change0 (0.1)***−2.3 (0.1)***−1.3 (0.03)***−1.1 (0.03)***−1.0 (0.03)***
TSDD 1–90
Baseline52.0 (5.0)49.5 (9.5)13.5 (2.1)12.6 (1.9)10.4 (1.8)
Follow-up51.8 (5.3)47.6 (9.1)12.2 (2.2)11.5 (2.0)9.3 (1.9)
Change−0.2 (0.3)−2.1 (0.5)***−1.3 (0.1)***−1.1 (0.1)***−1.1 (0.1)***
TSDD 91–365
Baseline51.4 (5.4)49.5 (9.4)13.9 (1.9)12.9 (1.9)10.7 (1.9)
Follow-up51.3 (5.5)46.0 (9.8)12.2 (2.0)12.3 (1.5)9.5 (1.7)
Change−0.1 (0.6)−3.5 (1.1)**−1.7 (0.2)***−0.6 (0.2)**−1.2 (0.2)***
TSDD 366–1,095
Baseline 53.0 (5.3)49.7 (6.8)13.7 (2.2)12.7 (1.9)10.4 (1.9)
Follow-up52.7 (6.1)48.2 (6.6)12.5 (1.9)11.6 (2.0)9.2 (1.9)
Change−0.3 (0.6)−1.5 (0.7)*−1.2 (0.2)***−1.1 (0.2)***−1.2 (0.2)***
TSDD >1,095
Baseline51.3 (5.8)46.6 (9.8)12.9 (2.3)12.0 (2.1)10.1 (2.0)
Follow-up51.2 (5.9)44.3 (10.1)11.5 (2.4)11.0 (2.3)8.8 (2.1)
Change−0.1 (0.4)−2.3 (0.4)***−1.4 (0.1)***−1.0 (0.1)***−1.3 (0.1)***
SRT||||CRT¶¶Trail A##Trail B†††
No use
Baseline276.0 (72.1)328.4 (51.6)35.0 (12.5)81.4 (33.7)
Follow-up283.7 (68.7)345.5 (57.5)37.5 (14.4)88.4 (37.8)
Change7.7 (1.0)***17.1 (0.8)***2.5 (0.2)***7.0 (0.5)***
TSDD 1–90
Baseline290.0 (93.7)338.6 (65.5)34.5 (9.4)78.9 (31.5)
Follow-up286.1 (61.2)346.9 (49.6)36.8 (10.6)86.0 (31.3)
Change−3.9 (4.2)8.3 (3.1)**2.3 (0.5)***7.1 (1.7)***
TSDD 91–365
Baseline270.2 (56.7)329.1 (45.8)32.5 (8.9)77.7 (24.5)
Follow-up282.5 (55.1)345.6 (43.7)34.9 (9.4)92.2 (36.1)
Change12.3 (6.2)16.5 (4.9)**2.4 (1.0)*14.5 (3.4)***
TSDD 366–1,095
Baseline272.1 (48.9)331.0 (45.9)33.4 (8.3)81.2 (42.3)
Follow-up282.2 (44.1)340.9 (41.2)38.2 (12.4)86.9 (30.4)
Change10.1 (4.8)*9.9 (4.5)*4.8 (1.1)***5.7 (3.8)
TSDD >1,095
Baseline306.7 (109.6)342.7 (65.3)37.6 (14.8)88.0 (36.0)
Follow-up311.5 (94.9)363.8 (74.9)40.1 (19.0)100.8 (42.3)
Change4.8 (4.6)21.1 (3.1)***2.5 (0.8)**12.8 (1.8)***
MMSEImm. RecallDel. Recall§Digit Back||
No use
Baseline29.2 (1.3)6.9 (2.2)6.1 (2.4)5.2 (2.2)
Follow-up29.0 (1.3)6.6 (2.2)5.8 (2.4)5.0 (2.2)
Change−0.2 (0.02)***−0.3 (0.03)***−0.3 (0.04)***−0.2 (0.03)***
TSDD 1–90
Baseline29.3 (1.2)7.3 (2.3)6.4 (2.3)4.9 (2.1)
Follow-up29.0 (1.4)6.9 (2.4)6.2 (2.4)4.7 (2.2)
Change−0.3 (0.1)***−0.4 (0.1)**−0.2 (0.1)−0.2 (0.1)*
TSDD 91–365
Baseline28.9 (1.3)6.7 (2.5)5.5 (2.7)4.8 (2.1)
Follow-up28.7 (1.8)6.0 (2.1)5.3 (2.3)4.6 (2.1)
Change−0.2 (0.2)−0.7 (0.3)−0.2 (0.3)−0.2 (0.2)
TSDD 366–1,095
Baseline29.2 (0.9)7.1 (2.1)6.1 (2.1)5.1 (2.4)
Follow-up29.2 (1.0)6.3 (2.1)5.6 (2.1)4.7 (2.2)
Change0 (0.1)−0.8 (0.2)***−0.5 (0.2)−0.4 (0.2)
TSDD >1,095
Baseline29.0 (1.3)6.5 (2.4)5.8 (2.6)4.6 (2.1)
Follow-up28.8 (1.5)6.2 (2.4)5.4 (2.4)4.6 (2.1)
Change−0.2 (0.1)*−0.3 (0.1)*−0.4 (0.1)***0 (0.1)
SpotSDMT#PPEG (DH)††PPEG (NDH)‡‡PPEG (BH)§§
No use
Baseline52.9 (5.4)49.5 (9.4)13.5 (2.1)12.7 (2.0)10.4 (1.8)
Follow-up52.9 (5.3)47.2 (9.7)12.2 (2.1)11.6 (2.0)9.4 (1.9)
Change0 (0.1)***−2.3 (0.1)***−1.3 (0.03)***−1.1 (0.03)***−1.0 (0.03)***
TSDD 1–90
Baseline52.0 (5.0)49.5 (9.5)13.5 (2.1)12.6 (1.9)10.4 (1.8)
Follow-up51.8 (5.3)47.6 (9.1)12.2 (2.2)11.5 (2.0)9.3 (1.9)
Change−0.2 (0.3)−2.1 (0.5)***−1.3 (0.1)***−1.1 (0.1)***−1.1 (0.1)***
TSDD 91–365
Baseline51.4 (5.4)49.5 (9.4)13.9 (1.9)12.9 (1.9)10.7 (1.9)
Follow-up51.3 (5.5)46.0 (9.8)12.2 (2.0)12.3 (1.5)9.5 (1.7)
Change−0.1 (0.6)−3.5 (1.1)**−1.7 (0.2)***−0.6 (0.2)**−1.2 (0.2)***
TSDD 366–1,095
Baseline 53.0 (5.3)49.7 (6.8)13.7 (2.2)12.7 (1.9)10.4 (1.9)
Follow-up52.7 (6.1)48.2 (6.6)12.5 (1.9)11.6 (2.0)9.2 (1.9)
Change−0.3 (0.6)−1.5 (0.7)*−1.2 (0.2)***−1.1 (0.2)***−1.2 (0.2)***
TSDD >1,095
Baseline51.3 (5.8)46.6 (9.8)12.9 (2.3)12.0 (2.1)10.1 (2.0)
Follow-up51.2 (5.9)44.3 (10.1)11.5 (2.4)11.0 (2.3)8.8 (2.1)
Change−0.1 (0.4)−2.3 (0.4)***−1.4 (0.1)***−1.0 (0.1)***−1.3 (0.1)***
SRT||||CRT¶¶Trail A##Trail B†††
No use
Baseline276.0 (72.1)328.4 (51.6)35.0 (12.5)81.4 (33.7)
Follow-up283.7 (68.7)345.5 (57.5)37.5 (14.4)88.4 (37.8)
Change7.7 (1.0)***17.1 (0.8)***2.5 (0.2)***7.0 (0.5)***
TSDD 1–90
Baseline290.0 (93.7)338.6 (65.5)34.5 (9.4)78.9 (31.5)
Follow-up286.1 (61.2)346.9 (49.6)36.8 (10.6)86.0 (31.3)
Change−3.9 (4.2)8.3 (3.1)**2.3 (0.5)***7.1 (1.7)***
TSDD 91–365
Baseline270.2 (56.7)329.1 (45.8)32.5 (8.9)77.7 (24.5)
Follow-up282.5 (55.1)345.6 (43.7)34.9 (9.4)92.2 (36.1)
Change12.3 (6.2)16.5 (4.9)**2.4 (1.0)*14.5 (3.4)***
TSDD 366–1,095
Baseline272.1 (48.9)331.0 (45.9)33.4 (8.3)81.2 (42.3)
Follow-up282.2 (44.1)340.9 (41.2)38.2 (12.4)86.9 (30.4)
Change10.1 (4.8)*9.9 (4.5)*4.8 (1.1)***5.7 (3.8)
TSDD >1,095
Baseline306.7 (109.6)342.7 (65.3)37.6 (14.8)88.0 (36.0)
Follow-up311.5 (94.9)363.8 (74.9)40.1 (19.0)100.8 (42.3)
Change4.8 (4.6)21.1 (3.1)***2.5 (0.8)**12.8 (1.8)***

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline).

Mini-Mental State Examination. Immediate Recall. §Delayed Recall. ||Digit Span Backwards Test. Spot-the-Word Test. #Symbol Digit Modalities Test. ††Purdue Pegboard Test (Dominant Hand). ‡‡Purdue Pegboard Test (Nondominant hand). §§Purdue Pegboard Test (Both hands). ||||Simple Reaction Time. ¶¶Choice Reaction Time. ##Trail Making Test Part A.  †††Trail Making Test Part B.

*Significance at p < .05 **Indicates significance at p < .01 ***indicates significance at p < .001.

Table 3.

Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (Mean and SD)

MMSEImm. RecallDel. Recall§Digit Back||
No use
Baseline29.2 (1.3)6.9 (2.2)6.1 (2.4)5.2 (2.2)
Follow-up29.0 (1.3)6.6 (2.2)5.8 (2.4)5.0 (2.2)
Change−0.2 (0.02)***−0.3 (0.03)***−0.3 (0.04)***−0.2 (0.03)***
TSDD 1–90
Baseline29.3 (1.2)7.3 (2.3)6.4 (2.3)4.9 (2.1)
Follow-up29.0 (1.4)6.9 (2.4)6.2 (2.4)4.7 (2.2)
Change−0.3 (0.1)***−0.4 (0.1)**−0.2 (0.1)−0.2 (0.1)*
TSDD 91–365
Baseline28.9 (1.3)6.7 (2.5)5.5 (2.7)4.8 (2.1)
Follow-up28.7 (1.8)6.0 (2.1)5.3 (2.3)4.6 (2.1)
Change−0.2 (0.2)−0.7 (0.3)−0.2 (0.3)−0.2 (0.2)
TSDD 366–1,095
Baseline29.2 (0.9)7.1 (2.1)6.1 (2.1)5.1 (2.4)
Follow-up29.2 (1.0)6.3 (2.1)5.6 (2.1)4.7 (2.2)
Change0 (0.1)−0.8 (0.2)***−0.5 (0.2)−0.4 (0.2)
TSDD >1,095
Baseline29.0 (1.3)6.5 (2.4)5.8 (2.6)4.6 (2.1)
Follow-up28.8 (1.5)6.2 (2.4)5.4 (2.4)4.6 (2.1)
Change−0.2 (0.1)*−0.3 (0.1)*−0.4 (0.1)***0 (0.1)
SpotSDMT#PPEG (DH)††PPEG (NDH)‡‡PPEG (BH)§§
No use
Baseline52.9 (5.4)49.5 (9.4)13.5 (2.1)12.7 (2.0)10.4 (1.8)
Follow-up52.9 (5.3)47.2 (9.7)12.2 (2.1)11.6 (2.0)9.4 (1.9)
Change0 (0.1)***−2.3 (0.1)***−1.3 (0.03)***−1.1 (0.03)***−1.0 (0.03)***
TSDD 1–90
Baseline52.0 (5.0)49.5 (9.5)13.5 (2.1)12.6 (1.9)10.4 (1.8)
Follow-up51.8 (5.3)47.6 (9.1)12.2 (2.2)11.5 (2.0)9.3 (1.9)
Change−0.2 (0.3)−2.1 (0.5)***−1.3 (0.1)***−1.1 (0.1)***−1.1 (0.1)***
TSDD 91–365
Baseline51.4 (5.4)49.5 (9.4)13.9 (1.9)12.9 (1.9)10.7 (1.9)
Follow-up51.3 (5.5)46.0 (9.8)12.2 (2.0)12.3 (1.5)9.5 (1.7)
Change−0.1 (0.6)−3.5 (1.1)**−1.7 (0.2)***−0.6 (0.2)**−1.2 (0.2)***
TSDD 366–1,095
Baseline 53.0 (5.3)49.7 (6.8)13.7 (2.2)12.7 (1.9)10.4 (1.9)
Follow-up52.7 (6.1)48.2 (6.6)12.5 (1.9)11.6 (2.0)9.2 (1.9)
Change−0.3 (0.6)−1.5 (0.7)*−1.2 (0.2)***−1.1 (0.2)***−1.2 (0.2)***
TSDD >1,095
Baseline51.3 (5.8)46.6 (9.8)12.9 (2.3)12.0 (2.1)10.1 (2.0)
Follow-up51.2 (5.9)44.3 (10.1)11.5 (2.4)11.0 (2.3)8.8 (2.1)
Change−0.1 (0.4)−2.3 (0.4)***−1.4 (0.1)***−1.0 (0.1)***−1.3 (0.1)***
SRT||||CRT¶¶Trail A##Trail B†††
No use
Baseline276.0 (72.1)328.4 (51.6)35.0 (12.5)81.4 (33.7)
Follow-up283.7 (68.7)345.5 (57.5)37.5 (14.4)88.4 (37.8)
Change7.7 (1.0)***17.1 (0.8)***2.5 (0.2)***7.0 (0.5)***
TSDD 1–90
Baseline290.0 (93.7)338.6 (65.5)34.5 (9.4)78.9 (31.5)
Follow-up286.1 (61.2)346.9 (49.6)36.8 (10.6)86.0 (31.3)
Change−3.9 (4.2)8.3 (3.1)**2.3 (0.5)***7.1 (1.7)***
TSDD 91–365
Baseline270.2 (56.7)329.1 (45.8)32.5 (8.9)77.7 (24.5)
Follow-up282.5 (55.1)345.6 (43.7)34.9 (9.4)92.2 (36.1)
Change12.3 (6.2)16.5 (4.9)**2.4 (1.0)*14.5 (3.4)***
TSDD 366–1,095
Baseline272.1 (48.9)331.0 (45.9)33.4 (8.3)81.2 (42.3)
Follow-up282.2 (44.1)340.9 (41.2)38.2 (12.4)86.9 (30.4)
Change10.1 (4.8)*9.9 (4.5)*4.8 (1.1)***5.7 (3.8)
TSDD >1,095
Baseline306.7 (109.6)342.7 (65.3)37.6 (14.8)88.0 (36.0)
Follow-up311.5 (94.9)363.8 (74.9)40.1 (19.0)100.8 (42.3)
Change4.8 (4.6)21.1 (3.1)***2.5 (0.8)**12.8 (1.8)***
MMSEImm. RecallDel. Recall§Digit Back||
No use
Baseline29.2 (1.3)6.9 (2.2)6.1 (2.4)5.2 (2.2)
Follow-up29.0 (1.3)6.6 (2.2)5.8 (2.4)5.0 (2.2)
Change−0.2 (0.02)***−0.3 (0.03)***−0.3 (0.04)***−0.2 (0.03)***
TSDD 1–90
Baseline29.3 (1.2)7.3 (2.3)6.4 (2.3)4.9 (2.1)
Follow-up29.0 (1.4)6.9 (2.4)6.2 (2.4)4.7 (2.2)
Change−0.3 (0.1)***−0.4 (0.1)**−0.2 (0.1)−0.2 (0.1)*
TSDD 91–365
Baseline28.9 (1.3)6.7 (2.5)5.5 (2.7)4.8 (2.1)
Follow-up28.7 (1.8)6.0 (2.1)5.3 (2.3)4.6 (2.1)
Change−0.2 (0.2)−0.7 (0.3)−0.2 (0.3)−0.2 (0.2)
TSDD 366–1,095
Baseline29.2 (0.9)7.1 (2.1)6.1 (2.1)5.1 (2.4)
Follow-up29.2 (1.0)6.3 (2.1)5.6 (2.1)4.7 (2.2)
Change0 (0.1)−0.8 (0.2)***−0.5 (0.2)−0.4 (0.2)
TSDD >1,095
Baseline29.0 (1.3)6.5 (2.4)5.8 (2.6)4.6 (2.1)
Follow-up28.8 (1.5)6.2 (2.4)5.4 (2.4)4.6 (2.1)
Change−0.2 (0.1)*−0.3 (0.1)*−0.4 (0.1)***0 (0.1)
SpotSDMT#PPEG (DH)††PPEG (NDH)‡‡PPEG (BH)§§
No use
Baseline52.9 (5.4)49.5 (9.4)13.5 (2.1)12.7 (2.0)10.4 (1.8)
Follow-up52.9 (5.3)47.2 (9.7)12.2 (2.1)11.6 (2.0)9.4 (1.9)
Change0 (0.1)***−2.3 (0.1)***−1.3 (0.03)***−1.1 (0.03)***−1.0 (0.03)***
TSDD 1–90
Baseline52.0 (5.0)49.5 (9.5)13.5 (2.1)12.6 (1.9)10.4 (1.8)
Follow-up51.8 (5.3)47.6 (9.1)12.2 (2.2)11.5 (2.0)9.3 (1.9)
Change−0.2 (0.3)−2.1 (0.5)***−1.3 (0.1)***−1.1 (0.1)***−1.1 (0.1)***
TSDD 91–365
Baseline51.4 (5.4)49.5 (9.4)13.9 (1.9)12.9 (1.9)10.7 (1.9)
Follow-up51.3 (5.5)46.0 (9.8)12.2 (2.0)12.3 (1.5)9.5 (1.7)
Change−0.1 (0.6)−3.5 (1.1)**−1.7 (0.2)***−0.6 (0.2)**−1.2 (0.2)***
TSDD 366–1,095
Baseline 53.0 (5.3)49.7 (6.8)13.7 (2.2)12.7 (1.9)10.4 (1.9)
Follow-up52.7 (6.1)48.2 (6.6)12.5 (1.9)11.6 (2.0)9.2 (1.9)
Change−0.3 (0.6)−1.5 (0.7)*−1.2 (0.2)***−1.1 (0.2)***−1.2 (0.2)***
TSDD >1,095
Baseline51.3 (5.8)46.6 (9.8)12.9 (2.3)12.0 (2.1)10.1 (2.0)
Follow-up51.2 (5.9)44.3 (10.1)11.5 (2.4)11.0 (2.3)8.8 (2.1)
Change−0.1 (0.4)−2.3 (0.4)***−1.4 (0.1)***−1.0 (0.1)***−1.3 (0.1)***
SRT||||CRT¶¶Trail A##Trail B†††
No use
Baseline276.0 (72.1)328.4 (51.6)35.0 (12.5)81.4 (33.7)
Follow-up283.7 (68.7)345.5 (57.5)37.5 (14.4)88.4 (37.8)
Change7.7 (1.0)***17.1 (0.8)***2.5 (0.2)***7.0 (0.5)***
TSDD 1–90
Baseline290.0 (93.7)338.6 (65.5)34.5 (9.4)78.9 (31.5)
Follow-up286.1 (61.2)346.9 (49.6)36.8 (10.6)86.0 (31.3)
Change−3.9 (4.2)8.3 (3.1)**2.3 (0.5)***7.1 (1.7)***
TSDD 91–365
Baseline270.2 (56.7)329.1 (45.8)32.5 (8.9)77.7 (24.5)
Follow-up282.5 (55.1)345.6 (43.7)34.9 (9.4)92.2 (36.1)
Change12.3 (6.2)16.5 (4.9)**2.4 (1.0)*14.5 (3.4)***
TSDD 366–1,095
Baseline272.1 (48.9)331.0 (45.9)33.4 (8.3)81.2 (42.3)
Follow-up282.2 (44.1)340.9 (41.2)38.2 (12.4)86.9 (30.4)
Change10.1 (4.8)*9.9 (4.5)*4.8 (1.1)***5.7 (3.8)
TSDD >1,095
Baseline306.7 (109.6)342.7 (65.3)37.6 (14.8)88.0 (36.0)
Follow-up311.5 (94.9)363.8 (74.9)40.1 (19.0)100.8 (42.3)
Change4.8 (4.6)21.1 (3.1)***2.5 (0.8)**12.8 (1.8)***

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline).

Mini-Mental State Examination. Immediate Recall. §Delayed Recall. ||Digit Span Backwards Test. Spot-the-Word Test. #Symbol Digit Modalities Test. ††Purdue Pegboard Test (Dominant Hand). ‡‡Purdue Pegboard Test (Nondominant hand). §§Purdue Pegboard Test (Both hands). ||||Simple Reaction Time. ¶¶Choice Reaction Time. ##Trail Making Test Part A.  †††Trail Making Test Part B.

*Significance at p < .05 **Indicates significance at p < .01 ***indicates significance at p < .001.

Table 4 shows the results from the assessment of the association between the use of medications with anticholinergic properties and cognitive function using Generalized Linear Models. Compared to those not on medications with anticholinergic properties, those with a cumulative exposure to anticholinergics exceeding a TSDD of 1,095 had significantly poorer performance in the Trail Making Test Part B (executive function; Model 1: β = 5.77, Model 2: β = 5.33, Model 3: β = 8.32, p < .01). This association is seen in all three models and remained significant after adjusting for demographic, lifestyle, and clinical factors.

Table 4.

Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (β Weights and SE)

MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
Model 1−0.13 (0.11)−0.01 (0.18)0.03 (0.18)−0.10 (0.16)
Model 2−0.15 (0.11)−0.04 (0.18)0.01 (0.18)−0.09 (0.16)
Model 3−0.18 (0.13)−0.03 (0.21)−0.01 (0.21)−0.05 (0.18)
TSDD 91–365
Model 1−0.03 (0.23)−0.33 (0.37)0.11 (0.38)−0.05 (0.33)
Model 2−0.02 (0.23)−0.32 (0.37)0.12 (0.38)−0.04 (0.33)
Model 3−0.06 (0.26)−0.30 (0.44)0.16 (0.45)0.17 (0.42)
TSDD 366–1,095
Model 10.11 (0.23)−0.42 (0.38)−0.16 (0.37)−0.26 (0.31)
Model 20.09 (0.23)−0.45 (0.38)−0.17 (0.38)−0.25 (0.31)
Model 3−0.23 (0.29)−0.25 (0.49)0.50 (0.48)−0.18 (0.41)
TSDD >1,095
Model 10.03 (0.10)0.04 (0.16)−0.18 (0.16)0.19 (0.14)
Model 20.03 (0.10)0.02 (0.16)−0.20 (0.16)0.20 (0.14)
Model 3−0.04 (0.11)−0.10 (0.18)−0.20 (0.18)0.28 (0.18)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
Model 1−0.22 (0.22)0.44 (0.53)0.01 (0.18)0.03 (0.18)−0.12 (0.16)
Model 2−0.23 (0.22)0.30 (0.53)0.02 (0.19)−0.02 (0.18)−0.08 (0.16)
Model 3−0.19 (0.25)0.27 (0.60)0.01 (0.21)−0.03 (0.21)−0.03 (0.18)
TSDD 91–365
Model 1−0.26 (0.53)−1.11 (1.08)−0.50 (0.37)0.56 (0.37)−0.27 (0.32)
Model 2−0.27 (0.53)−1.13 (1.08)−0.50 (0.37)0.56 (0.37)−0.28 (0.32)
Model 3−0.52 (0.63)−0.52 (1.28)−0.49 (0.44)0.60 (0.44)−0.09 (0.38)
TSDD 366–1,095
Model 1−0.43 (0.45)0.87 (1.04)0.05 (0.34)0.05 (0.33)−0.23 (0.31)
Model 2−0.44 (0.45)0.78 (1.04)0.05 (0.34)0.07 (0.33)−0.20 (0.30)
Model 3−0.27 (0.55)0.01 (1.24)0.14 (0.43)0.09 (0.40)−0.15 (0.38)
TSDD >1,095
Model 1−0.15 (0.21)0.03 (0.46)−0.10 (0.16)0.17 (0.14)−0.25 (0.14)
Model 2−0.15 (0.12)−0.07 (0.47)−0.10 (0.16)0.16 (0.15)−0.22 (0.14)
Model 3−0.37 (0.25)−0.35 (0.56)−0.07 (0.19)0.06 (0.17)−0.31 (0.16)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
Model 1−11.53 (6.23)−8.81 (4.03)*−0.15 (1.13)0.12 (2.66)
Model 2−11.34 (6.23)−8.73 (4.05)*0.24 (1.14)−0.35 (2.69)
Model 3−7.67 (7.28)−7.87 (4.77)0.47 (1.31)−0.26 (2.88)
TSDD 91–365
Model 14.55 (13.32)−0.65 (8.69)−0.14 (2.42)7.47 (5.10)
Model 24.77 (13.35)−0.81 (8.73)−0.26 (2.41)7.00 (5.09)
Model 313.41 (15.17)2.56 (10.59)−1.29 (2.88)6.35 (6.16)
TSDD 366–1,095
Model 12.43 (12.86)−7.21 (8.67)2.33 (2.31)−1.27 (4.92)
Model 22.32 (12.93)−7.07 (8.74)2.71 (2.32)−1.27 (4.91)
Model 35.76 (15.77)−4.09 (10.01)3.04 (2.72)−8.62 (5.97)
TSDD >1,095
Model 1−2.93 (5.40)4.03 (3.60)−0.03 (1.04)5.77 (2.27)**
Model 2−2.64 (5.39)4.10 (3.64)0.21 (1.04)5.33 (2.27)**
Model 3−5.72 (6.30)2.14 (4.26)1.14 (1.24)8.32 (2.67)**
MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
Model 1−0.13 (0.11)−0.01 (0.18)0.03 (0.18)−0.10 (0.16)
Model 2−0.15 (0.11)−0.04 (0.18)0.01 (0.18)−0.09 (0.16)
Model 3−0.18 (0.13)−0.03 (0.21)−0.01 (0.21)−0.05 (0.18)
TSDD 91–365
Model 1−0.03 (0.23)−0.33 (0.37)0.11 (0.38)−0.05 (0.33)
Model 2−0.02 (0.23)−0.32 (0.37)0.12 (0.38)−0.04 (0.33)
Model 3−0.06 (0.26)−0.30 (0.44)0.16 (0.45)0.17 (0.42)
TSDD 366–1,095
Model 10.11 (0.23)−0.42 (0.38)−0.16 (0.37)−0.26 (0.31)
Model 20.09 (0.23)−0.45 (0.38)−0.17 (0.38)−0.25 (0.31)
Model 3−0.23 (0.29)−0.25 (0.49)0.50 (0.48)−0.18 (0.41)
TSDD >1,095
Model 10.03 (0.10)0.04 (0.16)−0.18 (0.16)0.19 (0.14)
Model 20.03 (0.10)0.02 (0.16)−0.20 (0.16)0.20 (0.14)
Model 3−0.04 (0.11)−0.10 (0.18)−0.20 (0.18)0.28 (0.18)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
Model 1−0.22 (0.22)0.44 (0.53)0.01 (0.18)0.03 (0.18)−0.12 (0.16)
Model 2−0.23 (0.22)0.30 (0.53)0.02 (0.19)−0.02 (0.18)−0.08 (0.16)
Model 3−0.19 (0.25)0.27 (0.60)0.01 (0.21)−0.03 (0.21)−0.03 (0.18)
TSDD 91–365
Model 1−0.26 (0.53)−1.11 (1.08)−0.50 (0.37)0.56 (0.37)−0.27 (0.32)
Model 2−0.27 (0.53)−1.13 (1.08)−0.50 (0.37)0.56 (0.37)−0.28 (0.32)
Model 3−0.52 (0.63)−0.52 (1.28)−0.49 (0.44)0.60 (0.44)−0.09 (0.38)
TSDD 366–1,095
Model 1−0.43 (0.45)0.87 (1.04)0.05 (0.34)0.05 (0.33)−0.23 (0.31)
Model 2−0.44 (0.45)0.78 (1.04)0.05 (0.34)0.07 (0.33)−0.20 (0.30)
Model 3−0.27 (0.55)0.01 (1.24)0.14 (0.43)0.09 (0.40)−0.15 (0.38)
TSDD >1,095
Model 1−0.15 (0.21)0.03 (0.46)−0.10 (0.16)0.17 (0.14)−0.25 (0.14)
Model 2−0.15 (0.12)−0.07 (0.47)−0.10 (0.16)0.16 (0.15)−0.22 (0.14)
Model 3−0.37 (0.25)−0.35 (0.56)−0.07 (0.19)0.06 (0.17)−0.31 (0.16)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
Model 1−11.53 (6.23)−8.81 (4.03)*−0.15 (1.13)0.12 (2.66)
Model 2−11.34 (6.23)−8.73 (4.05)*0.24 (1.14)−0.35 (2.69)
Model 3−7.67 (7.28)−7.87 (4.77)0.47 (1.31)−0.26 (2.88)
TSDD 91–365
Model 14.55 (13.32)−0.65 (8.69)−0.14 (2.42)7.47 (5.10)
Model 24.77 (13.35)−0.81 (8.73)−0.26 (2.41)7.00 (5.09)
Model 313.41 (15.17)2.56 (10.59)−1.29 (2.88)6.35 (6.16)
TSDD 366–1,095
Model 12.43 (12.86)−7.21 (8.67)2.33 (2.31)−1.27 (4.92)
Model 22.32 (12.93)−7.07 (8.74)2.71 (2.32)−1.27 (4.91)
Model 35.76 (15.77)−4.09 (10.01)3.04 (2.72)−8.62 (5.97)
TSDD >1,095
Model 1−2.93 (5.40)4.03 (3.60)−0.03 (1.04)5.77 (2.27)**
Model 2−2.64 (5.39)4.10 (3.64)0.21 (1.04)5.33 (2.27)**
Model 3−5.72 (6.30)2.14 (4.26)1.14 (1.24)8.32 (2.67)**

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline). Model 1 = unadjusted model. Model 2 = adjusted for age, sex, and education. Model 3 = Model 2 + smoking, alcohol consumption, physical activity, stroke, diabetes, hypertension, BMI, depression, and family history of dementia.

Mini-Mental State Examination. Digit Span Backwards Test. §Spot-the-Word Test. ||Symbol Digit Modalities Test. Purdue Pegboard Test (Dominant Hand). #Purdue Pegboard Test (Nondominant hand). ††Purdue Pegboard Test (Both hands). ‡‡Simple Reaction Time. §§Choice Reaction Time. ||||Trail Making Test Part A.  ¶¶Trail Making Test Part B.

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Table 4.

Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (β Weights and SE)

MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
Model 1−0.13 (0.11)−0.01 (0.18)0.03 (0.18)−0.10 (0.16)
Model 2−0.15 (0.11)−0.04 (0.18)0.01 (0.18)−0.09 (0.16)
Model 3−0.18 (0.13)−0.03 (0.21)−0.01 (0.21)−0.05 (0.18)
TSDD 91–365
Model 1−0.03 (0.23)−0.33 (0.37)0.11 (0.38)−0.05 (0.33)
Model 2−0.02 (0.23)−0.32 (0.37)0.12 (0.38)−0.04 (0.33)
Model 3−0.06 (0.26)−0.30 (0.44)0.16 (0.45)0.17 (0.42)
TSDD 366–1,095
Model 10.11 (0.23)−0.42 (0.38)−0.16 (0.37)−0.26 (0.31)
Model 20.09 (0.23)−0.45 (0.38)−0.17 (0.38)−0.25 (0.31)
Model 3−0.23 (0.29)−0.25 (0.49)0.50 (0.48)−0.18 (0.41)
TSDD >1,095
Model 10.03 (0.10)0.04 (0.16)−0.18 (0.16)0.19 (0.14)
Model 20.03 (0.10)0.02 (0.16)−0.20 (0.16)0.20 (0.14)
Model 3−0.04 (0.11)−0.10 (0.18)−0.20 (0.18)0.28 (0.18)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
Model 1−0.22 (0.22)0.44 (0.53)0.01 (0.18)0.03 (0.18)−0.12 (0.16)
Model 2−0.23 (0.22)0.30 (0.53)0.02 (0.19)−0.02 (0.18)−0.08 (0.16)
Model 3−0.19 (0.25)0.27 (0.60)0.01 (0.21)−0.03 (0.21)−0.03 (0.18)
TSDD 91–365
Model 1−0.26 (0.53)−1.11 (1.08)−0.50 (0.37)0.56 (0.37)−0.27 (0.32)
Model 2−0.27 (0.53)−1.13 (1.08)−0.50 (0.37)0.56 (0.37)−0.28 (0.32)
Model 3−0.52 (0.63)−0.52 (1.28)−0.49 (0.44)0.60 (0.44)−0.09 (0.38)
TSDD 366–1,095
Model 1−0.43 (0.45)0.87 (1.04)0.05 (0.34)0.05 (0.33)−0.23 (0.31)
Model 2−0.44 (0.45)0.78 (1.04)0.05 (0.34)0.07 (0.33)−0.20 (0.30)
Model 3−0.27 (0.55)0.01 (1.24)0.14 (0.43)0.09 (0.40)−0.15 (0.38)
TSDD >1,095
Model 1−0.15 (0.21)0.03 (0.46)−0.10 (0.16)0.17 (0.14)−0.25 (0.14)
Model 2−0.15 (0.12)−0.07 (0.47)−0.10 (0.16)0.16 (0.15)−0.22 (0.14)
Model 3−0.37 (0.25)−0.35 (0.56)−0.07 (0.19)0.06 (0.17)−0.31 (0.16)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
Model 1−11.53 (6.23)−8.81 (4.03)*−0.15 (1.13)0.12 (2.66)
Model 2−11.34 (6.23)−8.73 (4.05)*0.24 (1.14)−0.35 (2.69)
Model 3−7.67 (7.28)−7.87 (4.77)0.47 (1.31)−0.26 (2.88)
TSDD 91–365
Model 14.55 (13.32)−0.65 (8.69)−0.14 (2.42)7.47 (5.10)
Model 24.77 (13.35)−0.81 (8.73)−0.26 (2.41)7.00 (5.09)
Model 313.41 (15.17)2.56 (10.59)−1.29 (2.88)6.35 (6.16)
TSDD 366–1,095
Model 12.43 (12.86)−7.21 (8.67)2.33 (2.31)−1.27 (4.92)
Model 22.32 (12.93)−7.07 (8.74)2.71 (2.32)−1.27 (4.91)
Model 35.76 (15.77)−4.09 (10.01)3.04 (2.72)−8.62 (5.97)
TSDD >1,095
Model 1−2.93 (5.40)4.03 (3.60)−0.03 (1.04)5.77 (2.27)**
Model 2−2.64 (5.39)4.10 (3.64)0.21 (1.04)5.33 (2.27)**
Model 3−5.72 (6.30)2.14 (4.26)1.14 (1.24)8.32 (2.67)**
MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
Model 1−0.13 (0.11)−0.01 (0.18)0.03 (0.18)−0.10 (0.16)
Model 2−0.15 (0.11)−0.04 (0.18)0.01 (0.18)−0.09 (0.16)
Model 3−0.18 (0.13)−0.03 (0.21)−0.01 (0.21)−0.05 (0.18)
TSDD 91–365
Model 1−0.03 (0.23)−0.33 (0.37)0.11 (0.38)−0.05 (0.33)
Model 2−0.02 (0.23)−0.32 (0.37)0.12 (0.38)−0.04 (0.33)
Model 3−0.06 (0.26)−0.30 (0.44)0.16 (0.45)0.17 (0.42)
TSDD 366–1,095
Model 10.11 (0.23)−0.42 (0.38)−0.16 (0.37)−0.26 (0.31)
Model 20.09 (0.23)−0.45 (0.38)−0.17 (0.38)−0.25 (0.31)
Model 3−0.23 (0.29)−0.25 (0.49)0.50 (0.48)−0.18 (0.41)
TSDD >1,095
Model 10.03 (0.10)0.04 (0.16)−0.18 (0.16)0.19 (0.14)
Model 20.03 (0.10)0.02 (0.16)−0.20 (0.16)0.20 (0.14)
Model 3−0.04 (0.11)−0.10 (0.18)−0.20 (0.18)0.28 (0.18)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
Model 1−0.22 (0.22)0.44 (0.53)0.01 (0.18)0.03 (0.18)−0.12 (0.16)
Model 2−0.23 (0.22)0.30 (0.53)0.02 (0.19)−0.02 (0.18)−0.08 (0.16)
Model 3−0.19 (0.25)0.27 (0.60)0.01 (0.21)−0.03 (0.21)−0.03 (0.18)
TSDD 91–365
Model 1−0.26 (0.53)−1.11 (1.08)−0.50 (0.37)0.56 (0.37)−0.27 (0.32)
Model 2−0.27 (0.53)−1.13 (1.08)−0.50 (0.37)0.56 (0.37)−0.28 (0.32)
Model 3−0.52 (0.63)−0.52 (1.28)−0.49 (0.44)0.60 (0.44)−0.09 (0.38)
TSDD 366–1,095
Model 1−0.43 (0.45)0.87 (1.04)0.05 (0.34)0.05 (0.33)−0.23 (0.31)
Model 2−0.44 (0.45)0.78 (1.04)0.05 (0.34)0.07 (0.33)−0.20 (0.30)
Model 3−0.27 (0.55)0.01 (1.24)0.14 (0.43)0.09 (0.40)−0.15 (0.38)
TSDD >1,095
Model 1−0.15 (0.21)0.03 (0.46)−0.10 (0.16)0.17 (0.14)−0.25 (0.14)
Model 2−0.15 (0.12)−0.07 (0.47)−0.10 (0.16)0.16 (0.15)−0.22 (0.14)
Model 3−0.37 (0.25)−0.35 (0.56)−0.07 (0.19)0.06 (0.17)−0.31 (0.16)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
Model 1−11.53 (6.23)−8.81 (4.03)*−0.15 (1.13)0.12 (2.66)
Model 2−11.34 (6.23)−8.73 (4.05)*0.24 (1.14)−0.35 (2.69)
Model 3−7.67 (7.28)−7.87 (4.77)0.47 (1.31)−0.26 (2.88)
TSDD 91–365
Model 14.55 (13.32)−0.65 (8.69)−0.14 (2.42)7.47 (5.10)
Model 24.77 (13.35)−0.81 (8.73)−0.26 (2.41)7.00 (5.09)
Model 313.41 (15.17)2.56 (10.59)−1.29 (2.88)6.35 (6.16)
TSDD 366–1,095
Model 12.43 (12.86)−7.21 (8.67)2.33 (2.31)−1.27 (4.92)
Model 22.32 (12.93)−7.07 (8.74)2.71 (2.32)−1.27 (4.91)
Model 35.76 (15.77)−4.09 (10.01)3.04 (2.72)−8.62 (5.97)
TSDD >1,095
Model 1−2.93 (5.40)4.03 (3.60)−0.03 (1.04)5.77 (2.27)**
Model 2−2.64 (5.39)4.10 (3.64)0.21 (1.04)5.33 (2.27)**
Model 3−5.72 (6.30)2.14 (4.26)1.14 (1.24)8.32 (2.67)**

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline). Model 1 = unadjusted model. Model 2 = adjusted for age, sex, and education. Model 3 = Model 2 + smoking, alcohol consumption, physical activity, stroke, diabetes, hypertension, BMI, depression, and family history of dementia.

Mini-Mental State Examination. Digit Span Backwards Test. §Spot-the-Word Test. ||Symbol Digit Modalities Test. Purdue Pegboard Test (Dominant Hand). #Purdue Pegboard Test (Nondominant hand). ††Purdue Pegboard Test (Both hands). ‡‡Simple Reaction Time. §§Choice Reaction Time. ||||Trail Making Test Part A.  ¶¶Trail Making Test Part B.

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Table 5 presents the effect modification of the association between the use of medications with anticholinergic properties (ACH) and cognitive function by the presence of one APOE ε-4 allele (APOE ε-4 +/−) and presence of both alleles (APOE ε-4 +/+). The interaction term (APOE ε-4 +/−)*ACH was not significantly associated with changes in cognitive function. However, we found that the interaction term (APOE ε-4 +/+)*ACH was significantly associated with a decline in Trail Making Test Part B. Among individuals with a cumulative exposure to anticholinergics resulting in a TSDD between 366 and 1,095, compared to individuals without APOE ε-4 alleles, individuals with both alleles a had a greater decline in their Trail Making Test Part B performance (β = 78.82, p < .01).

Table 5.

Effect Modification of the Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (β weights and SE) by Apolipoprotein (APOE) ε4 Allele

MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
+/−0.14 (0.31)−0.12 (0.50)−0.03 (0.51)−0.03 (0.41)
+/+−0.44 (0.77)−1.74 (1.30)−1.22 (1.30)−0.89 (1.11)
TSDD 91–365
+/−0.11 (0.56)−0.01 (0.85)0.14 (0.85)−0.49 (0.89)
+/+−0.45 (1.28)−1.19 (2.14)−2.54 (2.16)−2.42 (1.88)
TSDD 366–1,095
+/−0.87 (0.49)−0.22 (0.82)−1.49 (0.82)−0.20 (0.81)
+/+1.64 (0.95)−2.19 (1.60)−3.76 (1.60)*−0.79 (1.38)
TSDD >1,095
+/−0.22 (0.25)0.30 (0.37)−0.10 (0.36)−0.25 (0.36)
+/+0.92 (0.69)0.47 (1.12)0.29 (1.14)0.27 (1.01)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
+/−−0.35 (0.57)0.35 (1.35)0.19 (0.54)−0.07 (0.47)−0.32 (0.42)
+/+0.48 (1.51)1.04 (3.70)−1.56 (1.24)−0.10 (1.89)−0.19 (1.01)
TSDD 91–365
+/−0.43 (1.11)−1.55 (2.74)0.08 (0.81)−0.36 (0.80)−0.87 (0.72)
+/+6.07 (2.53)*3.94 (6.14)0.72 (2.05)−0.92 (1.95)0.79 (1.71)
TSDD 366–1,095
+/−−0.13 (0.96)1.14 (2.27)−0.34 (0.86)0.10 (0.74)−0.10 (0.66)
+/+0.24 (1.86)4.75 (4.48)0.64 (1.51)−0.60 (1.43)−0.003 (1.26)
TSDD >1,095
+/−0.83 (0.50)1.87 (1.09)0.08 (0.35)0.18 (0.33)0.21 (0.31)
+/+0.99 (1.32)−0.54 (3.21)−1.63 (1.10)0.09 (1.04)0.71 (0.89)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
+/−−20.61 (18.09)−9.23 (13.09)−1.99 (3.24)0.50 (6.46)
+/+−45.76 (43.55)−4.74 (28.35)−7.99 (7.95)−6.01 (17.69)
TSDD 91–365
+/−−25.71 (30.10)−19.08 (21.84)2.59 (5.35)−4.48 (13.04)
+/+−101.84 (73.36)−36.11 (47.42)−5.72 (13.34)33.96 (29.28)
TSDD 366–1,095
+/−−21.33 (28.26)−17.97 (19.48)−1.89 (4.89)12.13 (10.83)
+/+25.43 (54.00)31.56 (34.90)9.24 (9.83)78.82 (21.30)**
TSDD >1,095
+/−5.64 (12.49)3.32 (8.81)−3.38 (2.29)−8.03 (5.11)
+/+13.91 (38.03)11.56 (24.49)−12.03 (6.99)−30.56 (15.77)
MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
+/−0.14 (0.31)−0.12 (0.50)−0.03 (0.51)−0.03 (0.41)
+/+−0.44 (0.77)−1.74 (1.30)−1.22 (1.30)−0.89 (1.11)
TSDD 91–365
+/−0.11 (0.56)−0.01 (0.85)0.14 (0.85)−0.49 (0.89)
+/+−0.45 (1.28)−1.19 (2.14)−2.54 (2.16)−2.42 (1.88)
TSDD 366–1,095
+/−0.87 (0.49)−0.22 (0.82)−1.49 (0.82)−0.20 (0.81)
+/+1.64 (0.95)−2.19 (1.60)−3.76 (1.60)*−0.79 (1.38)
TSDD >1,095
+/−0.22 (0.25)0.30 (0.37)−0.10 (0.36)−0.25 (0.36)
+/+0.92 (0.69)0.47 (1.12)0.29 (1.14)0.27 (1.01)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
+/−−0.35 (0.57)0.35 (1.35)0.19 (0.54)−0.07 (0.47)−0.32 (0.42)
+/+0.48 (1.51)1.04 (3.70)−1.56 (1.24)−0.10 (1.89)−0.19 (1.01)
TSDD 91–365
+/−0.43 (1.11)−1.55 (2.74)0.08 (0.81)−0.36 (0.80)−0.87 (0.72)
+/+6.07 (2.53)*3.94 (6.14)0.72 (2.05)−0.92 (1.95)0.79 (1.71)
TSDD 366–1,095
+/−−0.13 (0.96)1.14 (2.27)−0.34 (0.86)0.10 (0.74)−0.10 (0.66)
+/+0.24 (1.86)4.75 (4.48)0.64 (1.51)−0.60 (1.43)−0.003 (1.26)
TSDD >1,095
+/−0.83 (0.50)1.87 (1.09)0.08 (0.35)0.18 (0.33)0.21 (0.31)
+/+0.99 (1.32)−0.54 (3.21)−1.63 (1.10)0.09 (1.04)0.71 (0.89)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
+/−−20.61 (18.09)−9.23 (13.09)−1.99 (3.24)0.50 (6.46)
+/+−45.76 (43.55)−4.74 (28.35)−7.99 (7.95)−6.01 (17.69)
TSDD 91–365
+/−−25.71 (30.10)−19.08 (21.84)2.59 (5.35)−4.48 (13.04)
+/+−101.84 (73.36)−36.11 (47.42)−5.72 (13.34)33.96 (29.28)
TSDD 366–1,095
+/−−21.33 (28.26)−17.97 (19.48)−1.89 (4.89)12.13 (10.83)
+/+25.43 (54.00)31.56 (34.90)9.24 (9.83)78.82 (21.30)**
TSDD >1,095
+/−5.64 (12.49)3.32 (8.81)−3.38 (2.29)−8.03 (5.11)
+/+13.91 (38.03)11.56 (24.49)−12.03 (6.99)−30.56 (15.77)

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline). +/− = presence of one APOE-ε4 allele. +/+ = presence of two APOE-ε4 alleles.

Mini-Mental State Examination. Digit Span Backwards Test. §Spot-the-Word Test. ||Symbol Digit Modalities Test. Purdue Pegboard Test (Dominant Hand). #Purdue Pegboard Test (Nondominant hand). ††Purdue Pegboard Test (Both hands). ‡‡Simple Reaction Time. §§Choice Reaction Time. ||||Trail Making Test Part A.  ¶¶Trail Making Test Part B.

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Table 5.

Effect Modification of the Association Between Use of Anticholinergic Medications (Categorized According to Clinical Significance) and Cognitive Function (β weights and SE) by Apolipoprotein (APOE) ε4 Allele

MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
+/−0.14 (0.31)−0.12 (0.50)−0.03 (0.51)−0.03 (0.41)
+/+−0.44 (0.77)−1.74 (1.30)−1.22 (1.30)−0.89 (1.11)
TSDD 91–365
+/−0.11 (0.56)−0.01 (0.85)0.14 (0.85)−0.49 (0.89)
+/+−0.45 (1.28)−1.19 (2.14)−2.54 (2.16)−2.42 (1.88)
TSDD 366–1,095
+/−0.87 (0.49)−0.22 (0.82)−1.49 (0.82)−0.20 (0.81)
+/+1.64 (0.95)−2.19 (1.60)−3.76 (1.60)*−0.79 (1.38)
TSDD >1,095
+/−0.22 (0.25)0.30 (0.37)−0.10 (0.36)−0.25 (0.36)
+/+0.92 (0.69)0.47 (1.12)0.29 (1.14)0.27 (1.01)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
+/−−0.35 (0.57)0.35 (1.35)0.19 (0.54)−0.07 (0.47)−0.32 (0.42)
+/+0.48 (1.51)1.04 (3.70)−1.56 (1.24)−0.10 (1.89)−0.19 (1.01)
TSDD 91–365
+/−0.43 (1.11)−1.55 (2.74)0.08 (0.81)−0.36 (0.80)−0.87 (0.72)
+/+6.07 (2.53)*3.94 (6.14)0.72 (2.05)−0.92 (1.95)0.79 (1.71)
TSDD 366–1,095
+/−−0.13 (0.96)1.14 (2.27)−0.34 (0.86)0.10 (0.74)−0.10 (0.66)
+/+0.24 (1.86)4.75 (4.48)0.64 (1.51)−0.60 (1.43)−0.003 (1.26)
TSDD >1,095
+/−0.83 (0.50)1.87 (1.09)0.08 (0.35)0.18 (0.33)0.21 (0.31)
+/+0.99 (1.32)−0.54 (3.21)−1.63 (1.10)0.09 (1.04)0.71 (0.89)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
+/−−20.61 (18.09)−9.23 (13.09)−1.99 (3.24)0.50 (6.46)
+/+−45.76 (43.55)−4.74 (28.35)−7.99 (7.95)−6.01 (17.69)
TSDD 91–365
+/−−25.71 (30.10)−19.08 (21.84)2.59 (5.35)−4.48 (13.04)
+/+−101.84 (73.36)−36.11 (47.42)−5.72 (13.34)33.96 (29.28)
TSDD 366–1,095
+/−−21.33 (28.26)−17.97 (19.48)−1.89 (4.89)12.13 (10.83)
+/+25.43 (54.00)31.56 (34.90)9.24 (9.83)78.82 (21.30)**
TSDD >1,095
+/−5.64 (12.49)3.32 (8.81)−3.38 (2.29)−8.03 (5.11)
+/+13.91 (38.03)11.56 (24.49)−12.03 (6.99)−30.56 (15.77)
MMSEImmediate RecallDelayed RecallDigit Back
TSDD 1–90
+/−0.14 (0.31)−0.12 (0.50)−0.03 (0.51)−0.03 (0.41)
+/+−0.44 (0.77)−1.74 (1.30)−1.22 (1.30)−0.89 (1.11)
TSDD 91–365
+/−0.11 (0.56)−0.01 (0.85)0.14 (0.85)−0.49 (0.89)
+/+−0.45 (1.28)−1.19 (2.14)−2.54 (2.16)−2.42 (1.88)
TSDD 366–1,095
+/−0.87 (0.49)−0.22 (0.82)−1.49 (0.82)−0.20 (0.81)
+/+1.64 (0.95)−2.19 (1.60)−3.76 (1.60)*−0.79 (1.38)
TSDD >1,095
+/−0.22 (0.25)0.30 (0.37)−0.10 (0.36)−0.25 (0.36)
+/+0.92 (0.69)0.47 (1.12)0.29 (1.14)0.27 (1.01)
Spot§SDMT||PPEG (DH)PPEG (NDH)#PPEG (BH)††
TSDD 1–90
+/−−0.35 (0.57)0.35 (1.35)0.19 (0.54)−0.07 (0.47)−0.32 (0.42)
+/+0.48 (1.51)1.04 (3.70)−1.56 (1.24)−0.10 (1.89)−0.19 (1.01)
TSDD 91–365
+/−0.43 (1.11)−1.55 (2.74)0.08 (0.81)−0.36 (0.80)−0.87 (0.72)
+/+6.07 (2.53)*3.94 (6.14)0.72 (2.05)−0.92 (1.95)0.79 (1.71)
TSDD 366–1,095
+/−−0.13 (0.96)1.14 (2.27)−0.34 (0.86)0.10 (0.74)−0.10 (0.66)
+/+0.24 (1.86)4.75 (4.48)0.64 (1.51)−0.60 (1.43)−0.003 (1.26)
TSDD >1,095
+/−0.83 (0.50)1.87 (1.09)0.08 (0.35)0.18 (0.33)0.21 (0.31)
+/+0.99 (1.32)−0.54 (3.21)−1.63 (1.10)0.09 (1.04)0.71 (0.89)
SRT‡‡CRT§§Trail A||||Trail B¶¶
TSDD 1–90
+/−−20.61 (18.09)−9.23 (13.09)−1.99 (3.24)0.50 (6.46)
+/+−45.76 (43.55)−4.74 (28.35)−7.99 (7.95)−6.01 (17.69)
TSDD 91–365
+/−−25.71 (30.10)−19.08 (21.84)2.59 (5.35)−4.48 (13.04)
+/+−101.84 (73.36)−36.11 (47.42)−5.72 (13.34)33.96 (29.28)
TSDD 366–1,095
+/−−21.33 (28.26)−17.97 (19.48)−1.89 (4.89)12.13 (10.83)
+/+25.43 (54.00)31.56 (34.90)9.24 (9.83)78.82 (21.30)**
TSDD >1,095
+/−5.64 (12.49)3.32 (8.81)−3.38 (2.29)−8.03 (5.11)
+/+13.91 (38.03)11.56 (24.49)−12.03 (6.99)−30.56 (15.77)

Notes: Measures for Trail A, Trail B, SRT, and CRT represent response time. Thus, positive values for change indicate a cognitive decline. All other measures (MMSE, Immediate Recall, Delayed Recall, Digit Back, Spot, SDMT, and PPEG) represent the number of items completed correctly (negative values for change indicate cognitive decline). +/− = presence of one APOE-ε4 allele. +/+ = presence of two APOE-ε4 alleles.

Mini-Mental State Examination. Digit Span Backwards Test. §Spot-the-Word Test. ||Symbol Digit Modalities Test. Purdue Pegboard Test (Dominant Hand). #Purdue Pegboard Test (Nondominant hand). ††Purdue Pegboard Test (Both hands). ‡‡Simple Reaction Time. §§Choice Reaction Time. ||||Trail Making Test Part A.  ¶¶Trail Making Test Part B.

*Significance at p < .05. **Significance at p < .01. ***Significance at p < .001.

Discussion

In our study, we examined if the cumulative use of medications with anticholinergic properties over a period of 4 years is associated with a decline in cognitive function in the 60+ cohort of the PATH Through Life study. While most cognitive domains remained unaffected, we observed the significant effects of medications with anticholinergic properties on the change in the processing speed of participants in our study population. We found that cumulative use of anticholinergics over a period of 4 years, exceeding a TSDD of 1,095 is significantly associated with a decline in Trail Making Test Part B scores. This indicates that exposure to anticholinergics at this level impairs executive function and speed of processing in older adults. This association remained significant even after adjusting for multiple covariates. We also found that among those with a high level of exposure to anticholinergics, individuals who had two apolipoprotein E ε-4 alleles had a greater decline in their Trail Making Test Part B scores compared to those without the alleles. This finding is consistent with previous studies that found anticholinergics to affect executive function in both older adults (33) as well as among middle-aged adults (34). A recent study assessing the participants of the Longitudinal Aging Study Amsterdam (LASA) found that among older adults, higher levels of long-term cumulative exposure to anticholinergics was associated with impaired cognition (35).

In the United States, 6.8 million ambulatory care visits due to dementia are made annually, of which 43% of the patients are actively on at least one medication with anticholinergic properties (36). This is alarming as multiple studies show that medications with anticholinergic properties play a role in adversely affecting cognitive function in the older adults. This association exists in both community-dwelling older adults as well as those in residential care (37–39). Past studies demonstrate that anticholinergic use increases the risk of dementia (15). Among older adults, serum anticholinergic levels were associates with lower simple response times (40). In a study investigating the effect of anticholinergic use in an older population in France, the risk of dementia and AD was elevated among those with a history of chronic use of these medications (14). Chronic use of anticholinergics are also linked to AD pathology (41), accelerated decline in cognitive function (42), and greater dementia severity (43). In AD patients, the cholinergic system is particularly affected by the disease. Autopsy brain investigations of individuals with AD show compromised Acetylcholine receptor binding activity and reduced Acetylcholine (44,45). AD patients also have fewer cholinergic cells in their forebrain, pointing to the cholinergic loss in the disease (46).

Our study has several strengths. The PATH Through Life study provided a large community-dwelling older adult population for us to study. This allowed us to investigate the impact of these medications on older adults without severe comorbidities, which would have been strong confounders in the analysis. The PATH Through Life study measures cognitive function through a neuropsychology battery assessment approach, allowing us the opportunity to study changes in multiple cognitive domains over time. The PATH Through Life study also collects data on multiple factors, giving us the opportunity to adjust for important covariates in our analysis. One such important variable was the APOE epsilon 4 (ε4) genotype. We were able to assess whether APOE ε-4 alleles modified the association between the use of anticholinergics and cognitive function. By obtaining medication information from a database such as the PBS, we were able to objectively quantify anticholinergic exposure according to reliable standards of exposure measures, eliminating recall bias that may have happened if we had to use self-reported medication use (47).

There are some limitations to this study. The accuracy of anticholinergic burden measured in this study is limited by the use of a medication dispensing database for exposure measurement. The PBS database captures information on medications that are prescribed and filled. It does not provide information on medication consumption and adherence. Furthermore, it does not capture information on medications purchased over the counter, many of which can have anticholinergic properties (48). We took a conservative approach in determining exposure to medications with anticholinergic properties. Individuals with no prescription information during the exposure window were classified as not exposed to anticholinergics. These limitations may have resulted in underrepresented exposed individuals in this study and resulted in underestimation of the measure of effect. The time period between the baseline and a follow-up visit is short, particularly given that cognitive impairment is often insidious in nature with onset occurring much earlier before symptoms are apparent. Therefore, the exact point of onset of the disease and accurate predisease exposure is challenging to determine. As such, there is a possibility of reverse causality in this study. Many co-existing conditions requiring medications with anticholinergic properties may also be associated with an increased risk of cognitive impairment. In our study, we were only able to adjust for a limited number of self-reported medical conditions and may not have addressed all concerns on indication bias.

This study provides key findings to support the need for further research. Studies with a longer follow-up period will allow us to see the impact of a longer cumulative dose of these medications on cognitive function. Neuroimaging studies with a longer follow-up period will also allow us to detect changes in structural changes in the brain due to anticholinergic exposure. Future analysis should focus on the effect of the different classes of anticholinergics to investigate if the cumulative use of anticholinergics from different medication classes produces significantly different effects on the cognitive and volumetric outcomes we have examined in our study. Due to the importance of the frontal lobe in the cholinergic system, it would be informative to study changes in the frontal lobe of the brain when investigating the effects of cumulative anticholinergic.

As potential inappropriate use of anticholinergics is a modifiable risk factor for cognitive impairment and other adverse effects in older adults, steps to prevent misuse can greatly reduce the related negative outcomes. As exposure to medications with anticholinergic properties is not limited to prescription medications, prescribing guidelines alone will not sufficiently reduce the use of these medications among older adults. Health promotion activities to support healthy aging must include steps to educate and create awareness among older adults on the effects of their medications. Health education improves health behavior and empowers older adults to practice good self-management of their conditions (49). Increasing awareness among older adults and their caregivers about the potential adverse effects of their medications will empower them to advocate for their care, engage actively in shared decision making regarding the management of their conditions, and potentially reduce the use of these medications, especially for conditions where alternative therapies and treatment modalities are available.

Conclusion

This study showed that while most cognitive domains remained unaffected, high cumulative exposure to medications with anticholinergic properties had a significant negative effect on executive function and processing speed in older adults. Although multiple guidelines have cautioned the use of medications with anticholinergic properties in older adults, their use in this population is unavoidable due to the multiple comorbidities, that are managed with these medications. However, prescribers should be aware of the adverse effects of these medications and seek alternative treatment options when available. In the event the use of medications with anticholinergic properties is mandatory in older adults, prescribers must strive to treat older patients with the lowest effective dose of these medications. As multiple over the counter medications have anticholinergic properties, it is vital to create awareness among older adults about the potential modifiable risks of these medications. Future studies on the impact of the different classes of medications with anticholinergic properties in older adults will aid in the understanding of the mechanisms of these medications on cognition and structural changes in the brain in this vulnerable population.

Acknowledgments

We thank the PATH participants, project team, and co-investigators including Tony Jorm, Helen Christensen, Simon Easteal, Peter Butterworth, and Nicolas Cherbuin.

Funding

This work was supported by the National Health and Medical Research Council (NHMRC) (grant numbers 179805 and 1002160, and 418039). M.N. was funded by the Endeavour Research Fellowship. M.N. is funded by the National Institutes of Health, Fogarty International Center (NIH, FIC) and the National Institute of Neurological Disorders and Stroke (NINDS) (award number D43TW010540). K.J.A. is funded by NHMRC Research Fellowship (grant number 1102694).

Author Contributions

M. Neelamegam planned the study, conducted the data analysis, and wrote the article. K.J. Anstey planned the study, particularly for the methodology of cognitive assessment, and contributed to revising the article. J. Zgibor contributed to revising the article and helped plan the methodology for exposure measurement. H. Chen, L. Rajaram, K. O’rourke, and C. Bakour provided guidance for statistical analysis and contributed to revising the article.

Conflict of Interest

None reported.

References

1.

Guralnik
JM
.
Assessing the impact of comorbidity in the older population
.
Ann Epidemiol.
1996
;
6
:
376
380
. doi:10.1016/s1047-2797(96)00060-9

2.

Wolff
JL
,
Starfield
B
,
Anderson
G
.
Prevalence, expenditures, and complications of multiple chronic conditions in the elderly
.
Arch Intern Med.
2002
;
162
:
2269
2276
. doi:10.1001/archinte.162.20.2269

3.

Dunn
KM
,
Saunders
KW
,
Rutter
CM
, et al.
Opioid prescriptions for chronic pain and overdose: a cohort study
.
Ann Intern Med
.
2010
;
152
(
2
):
85
92
. doi:10.7326/0003-4819-152-2-201001190-00006

4.

Gurwitz
JH
,
Field
TS
,
Harrold
LR
, et al.
Incidence and preventability of adverse drug events among older persons in the ambulatory setting
.
J Am Med Assoc
.
2003
;
289
:
1107
1116
. doi:10.1001/jama.289.9.1107

5.

Mulsant
BH
,
Pollock
BG
,
Kirshner
M
,
Shen
C
,
Dodge
H
,
Ganguli
M
.
Serum anticholinergic activity in a community-based sample of older adults: relationship with cognitive performance
.
Arch Gen Psychiatry.
2003
;
60
:
198
203
. doi:10.1001/archpsyc.60.2.198

6.

Roe
CM
,
Anderson
MJ
,
Spivack
B
.
Use of anticholinergic medications by older adults with dementia
.
J Am Geriatr Soc.
2002
;
50
:
836
842
. doi:10.1046/j.1532-5415.2002.50208.x

7.

Kersten
H
,
Wyller
TB
.
Anticholinergic drug burden in older people’s brain—how well is it measured?
Basic Clin Pharmacol Toxicol.
2014
;
114
:
151
159
. doi:10.1111/bcpt.12140

8.

American Geriatrics Society Beers Criteria Update Expert Panel.
American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults
.
J Am Geriatr Soc.
2012
;
60
(
4
):
616
631
.

9.

Tune
LE
.
Anticholinergic effects of medication in elderly patients
.
J Clin Psychiatry.
2001
;
62
Suppl 21
:
11
14
.

10.

Haring
R
,
Fisher
A
,
Marciano
D
, et al.
Mitogen-activated protein kinase-dependent and protein kinase C-dependent pathways link the m1 muscarinic receptor to beta-amyloid precursor protein secretion
.
J Neurochem.
1998
;
71
:
2094
2103
. doi:10.1046/j.1471-4159.1998.71052094.x

11.

Ancelin
ML
,
Artero
S
,
Portet
F
,
Dupuy
AM
,
Touchon
J
,
Ritchie
K
.
Non-degenerative mild cognitive impairment in elderly people and use of anticholinergic drugs: longitudinal cohort study
.
Br Med J.
2006
;
332
:
455
459
. doi:10.1136/bmj.38740.439664.DE

12.

Han
L
,
Agostini
JV
,
Allore
HG
.
Cumulative anticholinergic exposure is associated with poor memory and executive function in older men
.
J Am Geriatr Soc.
2008
;
56
:
2203
2210
. doi:10.1111/j.1532-5415.2008.02009.x

13.

Green
AR
,
Reifler
LM
,
Bayliss
EA
,
Weffald
LA
,
Boyd
CM
.
Drugs contributing to anticholinergic burden and risk of fall or fall-related injury among older adults with mild cognitive impairment, dementia and multiple chronic conditions: a retrospective cohort study
.
Drugs Aging
.
2019
;
36
(
3
):
289
297
. doi:10.1007/s40266-018-00630-z

14.

Carrière
I
,
Fourrier-Reglat
A
,
Dartigues
JF
, et al.
Drugs with anticholinergic properties, cognitive decline, and dementia in an elderly general population: the 3-city study
.
Arch Int Med.
2009
;
169
(
14
):
1317
1324
. doi:10.1001/archinternmed.2009.229

15.

Jessen
F
,
Kaduszkiewicz
H
,
Daerr
M
, et al.
Anticholinergic drug use and risk for dementia: target for dementia prevention
.
Eur Arch Psychiatry Clin Neurosci.
2010
;
260 Suppl 2
:
S111
S115
. doi:10.1007/s00406-010-0156-4

16.

Anstey
KJ
,
Christensen
H
,
Butterworth
P
, et al.
Cohort profile: the PATH through life project
.
Int J Epidemiol.
2012
;
41
:
951
960
. doi:10.1093/ije/dyr025

17.

Mellish
L
,
Karanges
EA
,
Litchfield
MJ
, et al.
The Australian pharmaceutical benefits scheme data collection: a practical guide for researchers
.
BMC Res Notes.
2015
;
8
:
634
. doi:10.1186/s13104-015-1616-8

18.

Page
E
,
Kemp-Casey
A
,
Korda
R
,
Banks
E
.
Using Australian pharmaceutical benefits scheme data for pharmacoepidemiological research: challenges and approaches
.
Public Health Res Pract.
2015
;
25
:
e2541546
. doi:10.17061/phrp2541546

19.

Rudolph
JL
,
Salow
MJ
,
Angelini
MC
,
McGlinchey
RE
.
The anticholinergic risk scale and anticholinergic adverse effects in older persons
.
Arch Intern Med.
2008
;
168
:
508
513
. doi:10.1001/archinternmed.2007.106

20.

Carnahan
RM
,
Lund
BC
,
Perry
PJ
,
Pollock
BG
,
Culp
KR
.
The anticholinergic drug scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activity
.
J Clin Pharmacol.
2006
;
46
:
1481
1486
. doi:10.1177/0091270006292126

21.

Semla
TP
,
Beizer
JL
,
Higbee
MD.
Geriatric Dosage Handbook: Including Monitoring, Clinical Recommendations, and OBRA Guidelines. 5th ed.
Hudson, OH
:
Lexi-Comp Inc.
;
2000
,
1114
p.

22.

Gray
SL
,
Anderson
ML
,
Dublin
S
, et al.
Cumulative use of strong anticholinergics and incident dementia: a prospective cohort study
.
JAMA Intern Med
.
2015
;
175
(
3
):
401
407
. doi:10.1001/jamainternmed.2014.7663

23.

Folstein
MF
,
Folstein
SE
,
McHugh
PR
.
“Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician
.
J Psychiatr Res.
1975
;
12
:
189
198
. doi:10.1016/0022-3956(75)90026-6

24.

Delis
DC
,
Kramer
JH
,
Kaplan
E
,
Ober
BA
.
CVLT: California Verbal Learning Test-Adult Version: Manual
.
San Antonio, TX: Psychological Corporation
;
1987
.

25.

Wechsler
D
.
A standardized memory scale for clinical use
.
J Psychol
.
1945
;
19
:
87
95
. doi:10.1080/00223980.1945.9917223

26.

Smith
A.
Symbol Digit Modalities Test
.
Los Angeles, CA
:
Western Psychological Services
;
1982
.

27.

Baddeley
A
,
Emslie
H
,
Nimmo-Smith
I
.
The spot-the-word test: a robust estimate of verbal intelligence based on lexical decision
.
Br J Clin Psychol.
1993
;
32
:
55
65
. doi:10.1111/j.2044-8260.1993.tb01027.x

28.

Anstey
KJ
,
Dear
K
,
Christensen
H
,
Jorm
AF
.
Biomarkers, health, lifestyle, and demographic variables as correlates of reaction time performance in early, middle, and late adulthood
.
Q J Exp Psychol A
.
2005
;
58
:
5
21
. doi:10.1080/02724980443000232

29.

Reitan
RM
.
Validity of the trail making test as an indicator of organic brain damage
.
Percept Mot Skills
.
1958
;
8
(
3
):
271
276
. doi:10.2466/pms.1958.8.3.271

30.

Tiffin
J
,
Asher
EJ
.
The Purdue pegboard; norms and studies of reliability and validity
.
J Appl Psychol.
1948
;
32
:
234
247
. doi:10.1037/h0061266

31.

Martin
A
,
Rief
W
,
Klaiberg
A
,
Braehler
E
.
Validity of the brief patient health questionnaire mood scale (PHQ-9) in the general population
.
Gen Hosp Psychiatry
.
2006
;
28
:
71
77
. doi:10.1016/j.genhosppsych.2005.07.003

32.

Jorm
AF
,
Mather
KA
,
Butterworth
P
,
Anstey
KJ
,
Christensen
H
,
Easteal
S
.
APOE genotype and cognitive functioning in a large age-stratified population sample
.
Neuropsychology
.
2007
;
21
:
1
8
. doi:10.1037/0894-4105.21.1.1

33.

Sittironnarit
G
,
Ames
D
,
Bush
AI
, et al.
Effects of anticholinergic drugs on cognitive function in older Australians: results from the AIBL study
.
Dement Geriatr Cogn Disord
.
2011
;
31
:
173
178
. doi:10.1159/000325171

34.

Ziad
A
,
Olekhnovitch
R
,
Ruiz
F
, et al.
Anticholinergic drug use and cognitive performances in middle age: findings from the CONSTANCES cohort
.
J Neurol Neurosurg Psychiatry
.
2018
;
89
:
1107
1115
. doi:10.1136/jnnp-2018-318190

35.

Wouters
H
,
Hilmer
SN
,
Gnjidic
D
, et al.
Long-term exposure to anticholinergic and sedative medications and cognitive and physical function in later life
.
J Gerontol A Biol Sci Med Sci.
2020
;
75
:
357
365
. doi:10.1093/gerona/glz019

36.

Bhattacharya
R
,
Chatterjee
S
,
Carnahan
RM
,
Aparasu
RR
.
Prevalence and predictors of anticholinergic agents in elderly outpatients with dementia
.
Am J Geriatr Pharmacother.
2011
;
9
:
434
441
. doi:10.1016/j.amjopharm.2011.10.001

37.

Cao
YJ
,
Mager
DE
,
Simonsick
EM
, et al.
Physical and cognitive performance and burden of anticholinergics, sedatives, and ACE inhibitors in older women
.
Clin Pharmacol Ther.
2008
;
83
:
422
429
. doi: 10.1038/sj.clpt.6100303

38.

Landi
F
,
Russo
A
,
Liperoti
R
, et al.
Anticholinergic drugs and physical function among frail elderly population
.
Clin Pharmacol Ther.
2007
;
81
:
235
241
. doi:10.1038/sj.clpt.6100035

39.

Nishtala
PS
,
Fois
RA
,
McLachlan
AJ
,
Bell
JS
,
Kelly
PJ
,
Chen
TF
.
Anticholinergic activity of commonly prescribed medications and neuropsychiatric adverse events in older people
.
J Clin Pharmacol.
2009
;
49
:
1176
1184
. doi:10.1177/0091270009345690

40.

Nebes
RD
,
Pollock
BG
,
Halligan
EM
,
Kirshner
MA
,
Houck
PR
.
Serum anticholinergic activity and motor performance in elderly persons
.
J Gerontol A Biol Sci Med Sci.
2007
;
62
:
83
85
. doi:10.1093/gerona/62.1.83

41.

Konishi
K
,
Hori
K
,
Uchida
H
, et al.
Adverse effects of anticholinergic activity on cognitive functions in Alzheimer’s disease
.
Psychogeriatrics
.
2010
;
10
:
34
38
. doi:10.1111/j.1479-8301.2010.00310.x

42.

Bottiggi
KA
,
Salazar
JC
,
Yu
L
, et al.
Long-term cognitive impact of anticholinergic medications in older adults
.
Am J Geriatr Psychiatry.
2006
;
14
:
980
984
. doi:10.1097/01.JGP.0000224619.87681.71

43.

Dyer
AH
,
Murphy
C
,
Segurado
R
,
Lawlor
B
,
Kennelly
SP,
NILVAD Study Group. Is ongoing anticholinergic burden associated with greater cognitive decline & dementia severity in mild to moderate Alzheimer disease?
J Gerontol A Biol Sci Med Sci.
2019
;
75
(
5
):
987
994
. doi: 10.1093/gerona/glz244

44.

Araujo
DM
,
Lapchak
PA
,
Robitaille
Y
,
Gauthier
S
,
Quirion
R
.
Differential alteration of various cholinergic markers in cortical and subcortical regions of human brain in Alzheimer’s disease
.
J Neurochem.
1988
;
50
:
1914
1923
. doi: 10.1111/j.1471-4159.1988.tb02497.x

45.

Nilsson
L
,
Nordberg
A
,
Hardy
J
,
Wester
P
,
Winblad
B
.
Physostigmine restores 3H-acetylcholine efflux from Alzheimer brain slices to normal level
.
J Neural Transm.
1986
;
67
:
275
285
. doi: 10.1007/BF01243353

46.

Whitehouse
PJ
,
Price
DL
,
Struble
RG
,
Clark
AW
,
Coyle
JT
,
Delon
MR
.
Alzheimer’s disease and senile dementia: loss of neurons in the basal forebrain
.
Science.
1982
;
215
:
1237
1239
. doi:10.1126/science.7058341

47.

West
SL
,
Savitz
DA
,
Koch
G
,
Strom
BL
,
Guess
HA
,
Hartzema
A
.
Recall accuracy for prescription medications: self-report compared with database information
.
Am J Epidemiol.
1995
;
142
:
1103
1112
. doi:10.1093/oxfordjournals.aje.a117563

48.

Albert
SM
,
Roth
T
,
Toscani
M
,
Vitiello
MV
,
Zee
P
.
Sleep health and appropriate use of OTC sleep aids in older adults-recommendations of a gerontological society of America Workgroup
.
Gerontologist.
2017
;
57
:
163
170
. doi: 10.1093/geront/gnv139

49.

Holden
RJ
,
Srinivas
P
,
Campbell
NL
, et al.
Understanding older adults’ medication decision making and behavior: a study on over-the-counter (OTC) anticholinergic medications
.
Res Social Adm Pharm.
2019
;
15
:
53
60
. doi:10.1016/j.sapharm.2018.03.002

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Decision Editor: Anne Newman, MD, MPH
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