The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change
• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups coul...
Ausführliche Beschreibung
Autor*in: |
Baumann, Sophie [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2015 |
---|
Schlagwörter: |
---|
Umfang: |
8 |
---|
Übergeordnetes Werk: |
Enthalten in: Statistical analysis to identify biomarkers for safety - Clark, Matthew ELSEVIER, 2018, an international journal on biomedical and psychosocial approaches, Amsterdam [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:147 ; year:2015 ; day:1 ; month:02 ; pages:167-174 ; extent:8 |
Links: |
---|
DOI / URN: |
10.1016/j.drugalcdep.2014.11.020 |
---|
Katalog-ID: |
ELV013052918 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV013052918 | ||
003 | DE-627 | ||
005 | 20230623103025.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180602s2015 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.drugalcdep.2014.11.020 |2 doi | |
028 | 5 | 2 | |a GBVA2015012000016.pica |
035 | |a (DE-627)ELV013052918 | ||
035 | |a (ELSEVIER)S0376-8716(14)01933-4 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 610 | |
082 | 0 | 4 | |a 610 |q DE-600 |
082 | 0 | 4 | |a 610 |q VZ |
084 | |a 15,3 |2 ssgn | ||
084 | |a PHARM |q DE-84 |2 fid | ||
084 | |a 44.38 |2 bkl | ||
084 | |a 44.39 |2 bkl | ||
100 | 1 | |a Baumann, Sophie |e verfasserin |4 aut | |
245 | 1 | 4 | |a The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
264 | 1 | |c 2015 | |
300 | |a 8 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. | ||
650 | 7 | |a ClinicalTrials.gov: NCT01311245 |2 Elsevier | |
700 | 1 | |a Gaertner, Beate |4 oth | |
700 | 1 | |a Schnuerer, Inga |4 oth | |
700 | 1 | |a Haberecht, Katja |4 oth | |
700 | 1 | |a John, Ulrich |4 oth | |
700 | 1 | |a Freyer-Adam, Jennis |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Clark, Matthew ELSEVIER |t Statistical analysis to identify biomarkers for safety |d 2018 |d an international journal on biomedical and psychosocial approaches |g Amsterdam [u.a.] |w (DE-627)ELV000553670 |
773 | 1 | 8 | |g volume:147 |g year:2015 |g day:1 |g month:02 |g pages:167-174 |g extent:8 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.drugalcdep.2014.11.020 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a FID-PHARM | ||
912 | |a SSG-OLC-PHA | ||
912 | |a SSG-OPC-PHA | ||
936 | b | k | |a 44.38 |j Pharmakologie |q VZ |
936 | b | k | |a 44.39 |j Toxikologie |q VZ |
951 | |a AR | ||
952 | |d 147 |j 2015 |b 1 |c 0201 |h 167-174 |g 8 | ||
953 | |2 045F |a 610 |
author_variant |
s b sb |
---|---|
matchkey_str |
baumannsophiegaertnerbeateschnuereringah:2015----:hipcoatgtioeitretooachlstaetreaogh |
hierarchy_sort_str |
2015 |
bklnumber |
44.38 44.39 |
publishDate |
2015 |
allfields |
10.1016/j.drugalcdep.2014.11.020 doi GBVA2015012000016.pica (DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl Baumann, Sophie verfasserin aut The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change 2015 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. ClinicalTrials.gov: NCT01311245 Elsevier Gaertner, Beate oth Schnuerer, Inga oth Haberecht, Katja oth John, Ulrich oth Freyer-Adam, Jennis oth Enthalten in Elsevier Science Clark, Matthew ELSEVIER Statistical analysis to identify biomarkers for safety 2018 an international journal on biomedical and psychosocial approaches Amsterdam [u.a.] (DE-627)ELV000553670 volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 https://doi.org/10.1016/j.drugalcdep.2014.11.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.38 Pharmakologie VZ 44.39 Toxikologie VZ AR 147 2015 1 0201 167-174 8 045F 610 |
spelling |
10.1016/j.drugalcdep.2014.11.020 doi GBVA2015012000016.pica (DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl Baumann, Sophie verfasserin aut The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change 2015 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. ClinicalTrials.gov: NCT01311245 Elsevier Gaertner, Beate oth Schnuerer, Inga oth Haberecht, Katja oth John, Ulrich oth Freyer-Adam, Jennis oth Enthalten in Elsevier Science Clark, Matthew ELSEVIER Statistical analysis to identify biomarkers for safety 2018 an international journal on biomedical and psychosocial approaches Amsterdam [u.a.] (DE-627)ELV000553670 volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 https://doi.org/10.1016/j.drugalcdep.2014.11.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.38 Pharmakologie VZ 44.39 Toxikologie VZ AR 147 2015 1 0201 167-174 8 045F 610 |
allfields_unstemmed |
10.1016/j.drugalcdep.2014.11.020 doi GBVA2015012000016.pica (DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl Baumann, Sophie verfasserin aut The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change 2015 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. ClinicalTrials.gov: NCT01311245 Elsevier Gaertner, Beate oth Schnuerer, Inga oth Haberecht, Katja oth John, Ulrich oth Freyer-Adam, Jennis oth Enthalten in Elsevier Science Clark, Matthew ELSEVIER Statistical analysis to identify biomarkers for safety 2018 an international journal on biomedical and psychosocial approaches Amsterdam [u.a.] (DE-627)ELV000553670 volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 https://doi.org/10.1016/j.drugalcdep.2014.11.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.38 Pharmakologie VZ 44.39 Toxikologie VZ AR 147 2015 1 0201 167-174 8 045F 610 |
allfieldsGer |
10.1016/j.drugalcdep.2014.11.020 doi GBVA2015012000016.pica (DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl Baumann, Sophie verfasserin aut The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change 2015 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. ClinicalTrials.gov: NCT01311245 Elsevier Gaertner, Beate oth Schnuerer, Inga oth Haberecht, Katja oth John, Ulrich oth Freyer-Adam, Jennis oth Enthalten in Elsevier Science Clark, Matthew ELSEVIER Statistical analysis to identify biomarkers for safety 2018 an international journal on biomedical and psychosocial approaches Amsterdam [u.a.] (DE-627)ELV000553670 volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 https://doi.org/10.1016/j.drugalcdep.2014.11.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.38 Pharmakologie VZ 44.39 Toxikologie VZ AR 147 2015 1 0201 167-174 8 045F 610 |
allfieldsSound |
10.1016/j.drugalcdep.2014.11.020 doi GBVA2015012000016.pica (DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl Baumann, Sophie verfasserin aut The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change 2015 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. ClinicalTrials.gov: NCT01311245 Elsevier Gaertner, Beate oth Schnuerer, Inga oth Haberecht, Katja oth John, Ulrich oth Freyer-Adam, Jennis oth Enthalten in Elsevier Science Clark, Matthew ELSEVIER Statistical analysis to identify biomarkers for safety 2018 an international journal on biomedical and psychosocial approaches Amsterdam [u.a.] (DE-627)ELV000553670 volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 https://doi.org/10.1016/j.drugalcdep.2014.11.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.38 Pharmakologie VZ 44.39 Toxikologie VZ AR 147 2015 1 0201 167-174 8 045F 610 |
language |
English |
source |
Enthalten in Statistical analysis to identify biomarkers for safety Amsterdam [u.a.] volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 |
sourceStr |
Enthalten in Statistical analysis to identify biomarkers for safety Amsterdam [u.a.] volume:147 year:2015 day:1 month:02 pages:167-174 extent:8 |
format_phy_str_mv |
Article |
bklname |
Pharmakologie Toxikologie |
institution |
findex.gbv.de |
topic_facet |
ClinicalTrials.gov: NCT01311245 |
dewey-raw |
610 |
isfreeaccess_bool |
false |
container_title |
Statistical analysis to identify biomarkers for safety |
authorswithroles_txt_mv |
Baumann, Sophie @@aut@@ Gaertner, Beate @@oth@@ Schnuerer, Inga @@oth@@ Haberecht, Katja @@oth@@ John, Ulrich @@oth@@ Freyer-Adam, Jennis @@oth@@ |
publishDateDaySort_date |
2015-01-01T00:00:00Z |
hierarchy_top_id |
ELV000553670 |
dewey-sort |
3610 |
id |
ELV013052918 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV013052918</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623103025.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180602s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.drugalcdep.2014.11.020</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015012000016.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV013052918</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0376-8716(14)01933-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.39</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Baumann, Sophie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ClinicalTrials.gov: NCT01311245</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaertner, Beate</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schnuerer, Inga</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Haberecht, Katja</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">John, Ulrich</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Freyer-Adam, Jennis</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Clark, Matthew ELSEVIER</subfield><subfield code="t">Statistical analysis to identify biomarkers for safety</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal on biomedical and psychosocial approaches</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000553670</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:147</subfield><subfield code="g">year:2015</subfield><subfield code="g">day:1</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:167-174</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.drugalcdep.2014.11.020</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.38</subfield><subfield code="j">Pharmakologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.39</subfield><subfield code="j">Toxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">147</subfield><subfield code="j">2015</subfield><subfield code="b">1</subfield><subfield code="c">0201</subfield><subfield code="h">167-174</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
|
author |
Baumann, Sophie |
spellingShingle |
Baumann, Sophie ddc 610 ssgn 15,3 fid PHARM bkl 44.38 bkl 44.39 Elsevier ClinicalTrials.gov: NCT01311245 The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
authorStr |
Baumann, Sophie |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000553670 |
format |
electronic Article |
dewey-ones |
610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change ClinicalTrials.gov: NCT01311245 Elsevier |
topic |
ddc 610 ssgn 15,3 fid PHARM bkl 44.38 bkl 44.39 Elsevier ClinicalTrials.gov: NCT01311245 |
topic_unstemmed |
ddc 610 ssgn 15,3 fid PHARM bkl 44.38 bkl 44.39 Elsevier ClinicalTrials.gov: NCT01311245 |
topic_browse |
ddc 610 ssgn 15,3 fid PHARM bkl 44.38 bkl 44.39 Elsevier ClinicalTrials.gov: NCT01311245 |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
b g bg i s is k h kh u j uj j f a jfa |
hierarchy_parent_title |
Statistical analysis to identify biomarkers for safety |
hierarchy_parent_id |
ELV000553670 |
dewey-tens |
610 - Medicine & health |
hierarchy_top_title |
Statistical analysis to identify biomarkers for safety |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV000553670 |
title |
The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
ctrlnum |
(DE-627)ELV013052918 (ELSEVIER)S0376-8716(14)01933-4 |
title_full |
The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
author_sort |
Baumann, Sophie |
journal |
Statistical analysis to identify biomarkers for safety |
journalStr |
Statistical analysis to identify biomarkers for safety |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology |
recordtype |
marc |
publishDateSort |
2015 |
contenttype_str_mv |
zzz |
container_start_page |
167 |
author_browse |
Baumann, Sophie |
container_volume |
147 |
physical |
8 |
class |
610 610 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.38 bkl 44.39 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Baumann, Sophie |
doi_str_mv |
10.1016/j.drugalcdep.2014.11.020 |
dewey-full |
610 |
title_sort |
impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
title_auth |
The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
abstract |
• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. |
abstractGer |
• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. |
abstract_unstemmed |
• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA |
title_short |
The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
url |
https://doi.org/10.1016/j.drugalcdep.2014.11.020 |
remote_bool |
true |
author2 |
Gaertner, Beate Schnuerer, Inga Haberecht, Katja John, Ulrich Freyer-Adam, Jennis |
author2Str |
Gaertner, Beate Schnuerer, Inga Haberecht, Katja John, Ulrich Freyer-Adam, Jennis |
ppnlink |
ELV000553670 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth oth |
doi_str |
10.1016/j.drugalcdep.2014.11.020 |
up_date |
2024-07-06T17:55:21.155Z |
_version_ |
1803853256360722432 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV013052918</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623103025.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180602s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.drugalcdep.2014.11.020</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015012000016.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV013052918</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0376-8716(14)01933-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.39</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Baumann, Sophie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Persons who do not intend to change unhealthy alcohol use constitute the majority of alcohol consumers. • Growth mixture modeling was used to identify subgroups characterized by different trajectories of alcohol use. • Based on alcohol use frequency and quantity only, four different subgroups could be identified. • There was a tendency of different Intervention effects for different subgroups. • Knowledge on different subtypes can be useful with regards to the guidance of interventions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ClinicalTrials.gov: NCT01311245</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaertner, Beate</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schnuerer, Inga</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Haberecht, Katja</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">John, Ulrich</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Freyer-Adam, Jennis</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Clark, Matthew ELSEVIER</subfield><subfield code="t">Statistical analysis to identify biomarkers for safety</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal on biomedical and psychosocial approaches</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000553670</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:147</subfield><subfield code="g">year:2015</subfield><subfield code="g">day:1</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:167-174</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.drugalcdep.2014.11.020</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.38</subfield><subfield code="j">Pharmakologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.39</subfield><subfield code="j">Toxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">147</subfield><subfield code="j">2015</subfield><subfield code="b">1</subfield><subfield code="c">0201</subfield><subfield code="h">167-174</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
|
score |
7.399457 |