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
Gespeichert in:
| Autor*in: |
Baumann, Sophie [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
8 |
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| 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 |
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| 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. | ||
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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 |
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The impact of a stage tailored intervention on alcohol use trajectories among those who do not intend to change |
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• 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. |
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• 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. |
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10.1016/j.drugalcdep.2014.11.020 |
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2024-07-06T17:55:21.155Z |
| _version_ |
1803853256360722432 |
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7.399457 |