R=Refused

1=Yes

2= No | | SMOKNOW | If the beneficiary currently smokes; only asked if the said they ever smoked | . = Inapplicable/Missing

R = Refused

1=Yes

2=No | | DIDSMOKE| Number of years the beneficiary did smoke; only asked if the beneficiary has ever smoked but is not a current smoker | D=Don't know

.=Inapplicable/Missing

R=Refused

1-95=Number of years the beneficiary smoked

96=Less than one year of smoking| | DRINKDAY | Beneficiary's number of days per month drinking alcohol | D=Don't know

.=Inapplicable/Missing

R=Refused

0=None

1-31=Number of days drinking per month| | DRINKSPD | Beneficiary's number of drinks per day; only asked if the beneficiary drinks at least one day per month | D=Don't know

.=Inapplicable/Missing

R=Refused

1-16+=Number of drinks consumed per day | Please note that some of the variables have a high number of inapplicable values denoted ., included SMOKNOW, DIDSMOKE, and DRINKSPD because of their inclusion criteria; you needed to denote that you previously drank/smoked to be included in the question. You can write a script to fill in 0 as a value for some of the inapplicable beneficiaries. For example, you can fill in the number of drinks per day as 0 for people who drink 0 days per month with something similar to the following R script: ``` for (ben in 1:nrow(nicoalco_data_2015)){ if(nicoalco_data_2015[ben,]$DRINKDAY == 0){ nicoalco_data_2015[ben,]$DRINKSPD <- 0 } } ``` # MCBS 2016 MCBS in 2016 is similar to that of 2015. The files are organized in the same way as those in 2015 (please reference the data tree above). However, some of the files included in the survey are different. Please reference the list below to see the different file names. Note that in 2016, there are longitudinal weights for 1 and 3 years prior (`lng2wgts.csv` and `lng4wgts.csv`, respectively), but not for 2 years as there were no surveys in 2014. ``` |-- accesscr.csv |-- admnutls.csv |-- assist.csv |-- cenwgts.csv |-- chrncdfl.csv |-- chrncond.csv |-- demo.csv |-- dental.csv |-- diabetes.csv |-- evrwgts.csv |-- facasmnt.csv |-- facchar.csv |-- falls.csv |-- foodins.csv |-- genhlth.csv |-- hhchar.csv |-- hisumry.csv |-- hitline.csv |-- incasset.csv |-- interv.csv |-- lng2wgts.csv |-- lng4wgts.csv |-- maplanqx.csv |-- mcreplnq.csv |-- mds3.csv |-- menthlth.csv |-- mobility.csv |-- nagidis.csv |-- nicoalco.csv |-- oasis.csv |-- pmuse.csv |-- pntact.csv |-- prevcare.csv |-- restmln.csv |-- rxpartd.csv |-- satwcare.csv |-- uscare.csv `-- vishear.csv ``` For more information on what these surveys contain, please consult the documentation located in the documentation folder which describes the surveys at a higher level, as well as the codebooks in the codebooks folder which explain each variable and what the different values represent.