harmonize: HEALTH

[andkov]

descriptives for HEALTH

[andkov]

@ampiccinin , the descriptives for HEALTH are ready. Please review the variable description and provide the list of variables that WILL NOT be included into data schema variables. Please pay particular attention to continuous variables. In order to move on to generating response-profiles from data schema variables for this construct we need only categorical variables. If we rule in advance that a particular continuous variable WILL NOT be used for harmonization, we can avoid the expense of categorizing it.

Please provide the name of the study and the original spelling of the variable the WILL NOT be included (e.g. SATSA - GSTOPALK), as well a brief note about the reasons for exclusion.

[ampiccinin]

@andkov –

SHARE varlabels not clear enough to understand meaning of items.

Also – almost 50% missing in all – possibly asked of men and women separately or something?!

• ALSAhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#alsa
  • BTSM12MNhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#btsm12mn – not used since not available in other studies
  • HLTHBTSMhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#hlthbtsm – not used since in ALSA, SATSA, TILDA only (could compare across these three in future) (health compared to others of same age)
  • HLTHLIFEhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#hlthlife – use E&VG vs. Good, Fair, Poor
• LBSLhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#lbsl
  • SRHEALTHhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#srhealth – VG&G vs. ModG, ModP, Poor, VPoor (I frankly am not sure of the difference between Good and Moderately Good, but this is the closest match to ALSA and TILDA.)
• SATSAhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#satsa
  • GGENHLTHhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ggenhlth – Good vs. Reasonable & Bad
  • GHLTHOTHhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ghlthoth – not used since in ALSA, SATSA, TILDA only (could compare across these three in future) (health compared to others of same age)
• SHAREhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#share
  • PH0020https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph0020
  • PH0030https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph0030
  • PH0520https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph0520
  • PH0530https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph0530
• TILDAhttps://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#tilda
  • PH001https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph001 - – use E&VG vs. Good, Fair, Poor (exact match with ALSA)
  • PH009https://rawgit.com/IALSA/ialsa-2016-groningen-public/master/describe-health.html#ph009 – not used since in ALSA, SATSA, TILDA only (could compare across these three in future) (health compared to others of same age)

From: Andriy V. Koval [mailto:notifications@github.com] Sent: Friday, April 8, 2016 12:55 PM To: IALSA/ialsa-2016-groningen ialsa-2016-groningen@noreply.github.com Subject: [IALSA/ialsa-2016-groningen] harmonize: HEALTH (#16)

— You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHubhttps://github.com/IALSA/ialsa-2016-groningen/issues/16

[andkov]

view information at https://g2aging.org/index.php?section=module&moduleid=1260&display=

[andkov]

poor_health

levels:

• GOOD and better = 0 * refernce
• BELOW GOOD = 1 * poor health indicator

alsa - HLTHLIFE

lsls - SRHEALTH = still use good

satsa - GGENHLTH

share - PH0020, PH0030

tilda - PH001

[andkov]

Comments on harmonization algorithms:

LBLS

• moderately good was classified as poor_health=TRUE

SHARE

• 51% NA on the primary variable PH0020. In those cases, the value of PH0030 was used. (this needs verification with respect to the specific question of PH0030.