ID

46094

Beschrijving

SHIP Study https://doi.org/10.1093/ije/dyac034

Link

https://doi.org/10.1093/ije/dyac034

Trefwoorden

  1. 26-10-24 26-10-24 - Martin Dugas
Houder van rechten

University Medicine Greifswald

Geüploaded op

26 oktober 2024

DOI

Voor een aanvraag inloggen.

Licentie

Creative Commons BY 4.0

Model Commentaren :

Hier kunt u commentaar leveren op het model. U kunt de tekstballonnen bij de itemgroepen en items gebruiken om er specifiek commentaar op te geven.

Itemgroep Commentaren voor :

Item Commentaren voor :

U moet ingelogd zijn om formulieren te downloaden. AUB inloggen of schrijf u gratis in.

Study_SHIP-TREND_TRV

t1.trv_meta_frm

Item Group t1.trv_meta_frm
Beschrijving

Item Group t1.trv_meta_frm

Metabolisches Syndrom
Beschrijving

metsyn_t1

Datatype

integer

Alias
VAR_NAMES
metsyn_t1
LABEL
Metabolic syndrome
DATA_TYPE
integer
VALUE_LABELS
0=No|1=Yes
MISSING_LIST_TABLE
missing_table_2127
STUDY_SEGMENT
t1.trv_meta_frm
VARIABLE_ORDER
300.0
LABEL_DE
Metabolisches Syndrom
VALUE_LABELS_DE
0=Nein|1=Ja
TABLE_NAME
T_TRV
UNIQUE_NAME
t1.metsyn_t1
SOURCE
TREND
DCE
SHIPTrend-1
HIERARCHY
TREND|TREND1|TRV|TRV_META|TRV_META_FRM
Nüchternzeit
Beschrijving

fasting_t1

Datatype

float

Alias
VAR_NAMES
fasting_t1
LABEL
time fasting [h]
DATA_TYPE
float
MISSING_LIST_TABLE
missing_table_2127
STUDY_SEGMENT
t1.trv_meta_frm
VARIABLE_ORDER
310.0
LABEL_DE
Nüchternzeit
TABLE_NAME
T_TRV
UNIQUE_NAME
t1.fasting_t1
SOURCE
TREND
DCE
SHIPTrend-1
HIERARCHY
TREND|TREND1|TRV|TRV_META|TRV_META_FRM
Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
Beschrijving

diabetes_t1

Datatype

integer

Alias
VAR_NAMES
diabetes_t1
LABEL
Diabetes (known and diagnosed based on SHIP data)
DATA_TYPE
integer
VALUE_LABELS
0=No|1=Yes
MISSING_LIST_TABLE
missing_table_2127
STUDY_SEGMENT
t1.trv_meta_frm
VARIABLE_ORDER
320.0
LABEL_DE
Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
VALUE_LABELS_DE
0=Nein|1=Ja
TABLE_NAME
T_TRV
UNIQUE_NAME
t1.diabetes_t1
SOURCE
TREND
DCE
SHIPTrend-1
HIERARCHY
TREND|TREND1|TRV|TRV_META|TRV_META_FRM
Typ-2 Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
Beschrijving

diabetes_typ2_t1

Datatype

integer

Alias
VAR_NAMES
diabetes_typ2_t1
LABEL
Diabetes type 2 (known and diagnosed based on SHIP data)
DATA_TYPE
integer
VALUE_LABELS
0=No|1=Yes
MISSING_LIST_TABLE
missing_table_2127
STUDY_SEGMENT
t1.trv_meta_frm
VARIABLE_ORDER
330.0
LABEL_DE
Typ-2 Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
VALUE_LABELS_DE
0=Nein|1=Ja
TABLE_NAME
T_TRV
UNIQUE_NAME
t1.diabetes_typ2_t1
SOURCE
TREND
DCE
SHIPTrend-1
HIERARCHY
TREND|TREND1|TRV|TRV_META|TRV_META_FRM
Bekannter Diabetes (alle Typen)
Beschrijving

diab_known_t1

Datatype

integer

Alias
VAR_NAMES
diab_known_t1
LABEL
Known diabetes (all types)
DATA_TYPE
integer
VALUE_LABELS
0=No|1=Yes
MISSING_LIST_TABLE
missing_table_2127
STUDY_SEGMENT
t1.trv_meta_frm
VARIABLE_ORDER
340.0
LABEL_DE
Bekannter Diabetes (alle Typen)
VALUE_LABELS_DE
0=Nein|1=Ja
TABLE_NAME
T_TRV
UNIQUE_NAME
t1.diab_known_t1
SOURCE
TREND
DCE
SHIPTrend-1
HIERARCHY
TREND|TREND1|TRV|TRV_META|TRV_META_FRM

Similar models

t1.trv_meta_frm

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
Item Group t1.trv_meta_frm
Item
Metabolisches Syndrom
integer
metsyn_t1 (VAR_NAMES)
Metabolic syndrome (LABEL)
integer (DATA_TYPE)
0=No|1=Yes (VALUE_LABELS)
missing_table_2127 (MISSING_LIST_TABLE)
t1.trv_meta_frm (STUDY_SEGMENT)
300.0 (VARIABLE_ORDER)
Metabolisches Syndrom (LABEL_DE)
0=Nein|1=Ja (VALUE_LABELS_DE)
T_TRV (TABLE_NAME)
t1.metsyn_t1 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|TRV|TRV_META|TRV_META_FRM (HIERARCHY)
Code List
Metabolisches Syndrom
CL Item
Ja (1)
CL Item
Nein (0)
fasting_t1
Item
Nüchternzeit
float
fasting_t1 (VAR_NAMES)
time fasting [h] (LABEL)
float (DATA_TYPE)
missing_table_2127 (MISSING_LIST_TABLE)
t1.trv_meta_frm (STUDY_SEGMENT)
310.0 (VARIABLE_ORDER)
Nüchternzeit (LABEL_DE)
T_TRV (TABLE_NAME)
t1.fasting_t1 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|TRV|TRV_META|TRV_META_FRM (HIERARCHY)
Item
Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
integer
diabetes_t1 (VAR_NAMES)
Diabetes (known and diagnosed based on SHIP data) (LABEL)
integer (DATA_TYPE)
0=No|1=Yes (VALUE_LABELS)
missing_table_2127 (MISSING_LIST_TABLE)
t1.trv_meta_frm (STUDY_SEGMENT)
320.0 (VARIABLE_ORDER)
Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter) (LABEL_DE)
0=Nein|1=Ja (VALUE_LABELS_DE)
T_TRV (TABLE_NAME)
t1.diabetes_t1 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|TRV|TRV_META|TRV_META_FRM (HIERARCHY)
Code List
Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
CL Item
Ja (1)
CL Item
Nein (0)
Item
Typ-2 Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
integer
diabetes_typ2_t1 (VAR_NAMES)
Diabetes type 2 (known and diagnosed based on SHIP data) (LABEL)
integer (DATA_TYPE)
0=No|1=Yes (VALUE_LABELS)
missing_table_2127 (MISSING_LIST_TABLE)
t1.trv_meta_frm (STUDY_SEGMENT)
330.0 (VARIABLE_ORDER)
Typ-2 Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter) (LABEL_DE)
0=Nein|1=Ja (VALUE_LABELS_DE)
T_TRV (TABLE_NAME)
t1.diabetes_typ2_t1 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|TRV|TRV_META|TRV_META_FRM (HIERARCHY)
Code List
Typ-2 Diabetes (bekannter und anhand von SHIP-Daten diagnostizierter)
CL Item
Ja (1)
CL Item
Nein (0)
Item
Bekannter Diabetes (alle Typen)
integer
diab_known_t1 (VAR_NAMES)
Known diabetes (all types) (LABEL)
integer (DATA_TYPE)
0=No|1=Yes (VALUE_LABELS)
missing_table_2127 (MISSING_LIST_TABLE)
t1.trv_meta_frm (STUDY_SEGMENT)
340.0 (VARIABLE_ORDER)
Bekannter Diabetes (alle Typen) (LABEL_DE)
0=Nein|1=Ja (VALUE_LABELS_DE)
T_TRV (TABLE_NAME)
t1.diab_known_t1 (UNIQUE_NAME)
TREND (SOURCE)
SHIPTrend-1 (DCE)
TREND|TREND1|TRV|TRV_META|TRV_META_FRM (HIERARCHY)
Code List
Bekannter Diabetes (alle Typen)
CL Item
Ja (1)
CL Item
Nein (0)

Gebruik dit formulier voor feedback, vragen en verbeteringsvoorstellen.

Velden gemarkeerd met een * zijn verplicht.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial