This page last changed on 01.07.2013 by ttuv.

TROMSO_SE_MARITAL

Variable MARITAL_STATUS_T4 : Marital status

Values Categories
1 Single
2 Married
3 Widow/Widower
4 Divorced
5 Separated
6 Registered partnership (homosexual)

SAS code:

if MARITAL_STATUS_T4 EQ 1 then SE_MARITAL=1;

else if MARITAL_STATUS_T4 IN (2 6) then SE_MARITAL=2;

else if MARITAL_STATUS_T4 EQ 3 then SE_MARITAL=3;

else if MARITAL_STATUS_T4 IN (4 5) then SE_MARITAL=4;

else SE_MARITAL=6;


SHARE_SE_MARITAL

SE_MARITAL is based on the SHARE variable dn014_.

 
DN014_: Please look at card 4.What is your marital status?
1. Married and living together with spouse
2. Registered partnership
3. Married, living separated from spouse
4. Never married
5. Divorced
6. Widowed


SENECA_SE_MARITAL

Contact round 1:

SE_MARITAL is based on SENECA variable MARRIED (“Marital status”)

IF MARRIED=1 (“Single”)  THEN SE_MARITAL=1;

IF MARRIED=2 (“Married”) or 5 (“Living  with partner”) THEN SE_MARITAL=2;

IF MARRIED=4 (“Widowed”)  THEN SE_MARITAL=3;

IF MARRIED=3  (“Divorced/Separated”) THEN SE_MARITAL=4;

IF MARRIED=9 (“No answer/Don’t know) or . THEN SE_MARITAL=.;

Contact round 2:

SE_MARITAL is based on SENECA variable FMARRIED (“Marital status”)

IF FMARRIED=1 (“Single”)  THEN SE_MARITAL=1;

IF FMARRIED=2 (“Married”) or 5 (“Living  with partner”) THEN SE_MARITAL=2;

IF FMARRIED=4 (“Widowed”)  THEN SE_MARITAL=3;

IF FMARRIED=3  (“Divorced/Separated”) THEN SE_MARITAL=4;

IF FMARRIED=9 (“No answer/Don’t know) or . THEN SE_MARITAL=.;

Contact round 3:

SE_MARITAL is based on SENECA variable SMARRIED (“Marital status”)

IF SMARRIED=1 (“Single”)  THEN SE_MARITAL=1;

IF SMARRIED=2 (“Married”) or 5 (“Living  with partner”) THEN SE_MARITAL=2;

IF SMARRIED=4 (“Widowed”)  THEN SE_MARITAL=3;

IF SMARRIED=3  (“Divorced/Separated”) THEN SE_MARITAL=4;

IF SMARRIED=9 (“No answer/Don’t know) or . THEN SE_MARITAL=.;


MORGAM_SE_MARITAL

This is derived from the MORGAM variable MARIT using the following rule:

MARIT
SE_MARITAL
1
1
2
2
3
4
4
3
5
5
9
6


HAPIEE_SE_MARITAL

Stata code

gen se_marital=.
replace se_marital=1 if q4==1
replace se_marital=2 if q4==2 | q4==3
replace se_marital=4 if q4==4
replace se_marital=3 if q4==5
replace se_marital=6 if se_marital==.

The source of q4 is HAPIEE_health_questionnaire_baseline.pdf.


ESTHER_SE_MARITAL

if A59FAMS = 1 then SE_marital = 1;
else if A59FAMS = 2 then SE_marital = 2;
else if A59FAMS = 3 then SE_marital = 4;
else if A59FAMS = 4 then SE_marital = 3;
else if A59FAMS = . then SE_marital = 6;

Source of A59FAMS is participant's questionnaire at baseline


EPIC_SE_MARITAL

EPIC variable MAR_STAT was used

EPIC var definition(s):
MAR_STAT = EPIC elderly variable showing Marital status in 4 categories (1= "single/never married" 2= "married/cohabiting/living together" 3= "widowed" 4= "divorced/separated")

Coding rule in STATA: 

Variable SE_MARITAL is produced from EPIC variable MAR_STAT.

If MAR_STAT is equal to 1 (single or never maried)  then SE_MARITAL=1.

If MAR_STAT is equal to 2 (maried or cohabitating or living together) then SE_MARITAL=2.

If MAR_STAT is equal to 3 (widowed) then SE_MARITAL=4.

If MAR_STAT is equal to 4 (divorced or separated) then SE_MARITAL=3.

If MAR_STAT is missing value then SE_MARITAL=9.

Coding rule in STATA:
-gen SE_MARITAL = MAR_STAT
-recode SE_MARITAL 1=1 2=2 3=4 4=3 .=9

Comment: The MAR_STAT is identical with the harmonized CHANCES var SE_MARITAL with the only difference being to the order of categories and that category 5 (for other) is not applicable


Document generated by Confluence on 26.02.2015 17:24