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bmp/bmp_140: State Of Health Affects Tiring Tasks
en | de | |
---|---|---|
1 | [1] A lot | [1] Stark |
2 | [2] A little | [2] Ein wenig |
3 | [3] Not at all | [3] Gar nicht |
-1 | [-1] No answer / don’t know | [-1] keine Angabe/weiß nicht |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Implausible value | [-3] unplausibler Wert |
-4 | [-4] Inadmissable multiple response | [-4] unzulässige Mehrfachantwort |
-5 | [-5] Not included in this version of the questionnaire | [-5] in Fragebogenversion nicht enthalten |
-6 | [-6] Version of questionnaire with modified filtering | [-6] Fragebogenversion mit geänderter Filterführung |
-7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschränkter Edition verfügbar |
-8 | [-8] Question not part of the survey program this year | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: State Of Health Affects Tiring Tasks
German label: Gesundheitszustand beeintr. Anstreng. Tätigkeiten
bmp – Data from individual questionnaires 2022
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2022
Study: SOEP-Core
- And what about other demanding everyday activities, such as when youhave to lift something heavy or do something requiring physical mobility: Does your health cause severe, moderate, or no limitations at all?
- And what about other demanding everyday activities, such as when youhave to lift something heavy or do something requiring physical mobility: Does your health cause severe, moderate, or no limitations at all?
- What about other strenuous activities in everyday life, e.g., if you have to lift something heavy or need mobility: Does this affect your state of health severely, a little or not at all?
- And what about other demanding everyday activities, such as when youhave to lift something heavy or do something requiring physical mobility: Does your health cause severe, moderate, or no limitations at all?
Measure | Value |
---|---|
valid | 28575 |
invalid | 129 |
Codes of related variables with the same concept
This table provides you with an overview of label definitions across related variables to identify changes over time in longitudinal variables. The first number indicates the value code, the second number (in brackets) represents the frequency in the data. Please note that labels are simplified and values with frequency = 0 are hidden.