paquid: Longitudinal data on cognitive and physical aging in the...
In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes
paquid R Documentation
Longitudinal data on cognitive and physical aging in the elderly
Description
The dataset consists in a subsample of the Paquid prospective cohort study.
Repeated measures cognitive measures (MMSE, IST, BVRT psychometric tests),
physical dependency (HIER) and depression sympatomatology (CESD) were
collected over a maximum period of 20 years along with dementia information
(age at dementia diagnosis, dementia diagnosis information).
Time-independent socio-demographic information is also provided (CEP, male,
age_init).
Format
A data frame with 2250 observations over 500 subjects and 12
variables:
- ID
subject identification number
- MMSE
score at the Mini-Mental State Examination (MMSE), a
psychometric test of global cognitive functioning (integer in range 0-30)
- BVRT
score at the Benton Visual Retention Test (BVRT), a
psychometric test of spatial memory (integer in range 0-15)
- IST
score at the Isaacs Set Test (IST) truncated at 15
seconds, a test of verbal memory (integer in range 0-40)
- HIER
score of physical dependency (0=no dependency, 1=mild
dependency, 2=moderate dependency, 3=severe dependency)
- CESD
score of a short self-report scale CES-D designed to
measure depressive symptomatology in the general population (integer in
range 0-52)
- age
age at the follow-up visit
- dem
indicator of positive diagnosis of dementia
- agedem
age at dementia diagnosis for dem=1 and at last
contact for dem=0
- age_init
age at entry in the
cohort
- CEP
binary indicator of educational level
(CEP=1 for subjects who graduated from primary school; CEP=0
otherwise)
- male
binary indicator for gender (male=1
for men; male=0 for women)
References
Letenneur, L., Commenges, D., Dartigues, J. F., &
Barberger-Gateau, P. (1994). Incidence of dementia and Alzheimer's disease
in elderly community residents of southwestern France. International Journal
of Epidemiology, 23 (6), 1256-61.
Examples
summary(paquid)
lcmm documentation built on Oct. 7, 2023, 1:08 a.m.
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| paquid | R Documentation |
Longitudinal data on cognitive and physical aging in the elderly
Description
The dataset consists in a subsample of the Paquid prospective cohort study. Repeated measures cognitive measures (MMSE, IST, BVRT psychometric tests), physical dependency (HIER) and depression sympatomatology (CESD) were collected over a maximum period of 20 years along with dementia information (age at dementia diagnosis, dementia diagnosis information). Time-independent socio-demographic information is also provided (CEP, male, age_init).
Format
A data frame with 2250 observations over 500 subjects and 12 variables:
- ID
subject identification number
- MMSE
score at the Mini-Mental State Examination (MMSE), a psychometric test of global cognitive functioning (integer in range 0-30)
- BVRT
score at the Benton Visual Retention Test (BVRT), a psychometric test of spatial memory (integer in range 0-15)
- IST
score at the Isaacs Set Test (IST) truncated at 15 seconds, a test of verbal memory (integer in range 0-40)
- HIER
score of physical dependency (0=no dependency, 1=mild dependency, 2=moderate dependency, 3=severe dependency)
- CESD
score of a short self-report scale CES-D designed to measure depressive symptomatology in the general population (integer in range 0-52)
- age
age at the follow-up visit
- dem
indicator of positive diagnosis of dementia
- agedem
age at dementia diagnosis for
dem=1and at last contact fordem=0- age_init
age at entry in the cohort
- CEP
binary indicator of educational level (
CEP=1for subjects who graduated from primary school;CEP=0otherwise)- male
binary indicator for gender (
male=1for men;male=0for women)
References
Letenneur, L., Commenges, D., Dartigues, J. F., & Barberger-Gateau, P. (1994). Incidence of dementia and Alzheimer's disease in elderly community residents of southwestern France. International Journal of Epidemiology, 23 (6), 1256-61.
Examples
summary(paquid)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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