How good is fine-grained Timeline Follow-back data? Comparing 30-day TLFB and repeated 7-day TLFB alcohol consumption reports on the person and daily level.
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Incongruence in doping related attitudes, beliefs and opinions in the context of discordant behavioural data: in which measure do we trust?Associations Between Recent Heavy Drinking and Dorsal Anterior Cingulate N-Acetylaspartate and Glutamate Concentrations in Non-Treatment-Seeking Individuals with Alcohol Dependence.Changes in substance use-related health risk behaviors on the timeline follow-back interview as a function of length of recall periodDevelopment and validation of a composite score for excessive alcohol use screening.Evaluating the validity and utility of scaling alcohol consumption indices alongside AUD symptoms in treatment-seeking adolescents.The validity of phosphatidylethanol in dried blood spots of newborns for the identification of prenatal alcohol exposurePredictors of heavy drinking during and following treatmentLaboratory alcohol self-administration experiments do not increase subsequent real-life drinking in young adult social drinkers.The separate and interactive effects of drinking motives and social anxiety symptoms in predicting drinking outcomes.Quantifying alcohol consumption: Self-report, transdermal assessment, and prediction of dependence symptomsPersonality, Executive Control, and Neurobiological Characteristics Associated with Different Forms of Risky Driving.Collecting Self-Reported Data on Dating Abuse Perpetration From a Sample of Primarily Black and Hispanic, Urban-Residing, Young Adults: A Comparison of Timeline Followback Interview and Interactive Voice Response Methods.Sexual Risk Behavior and Heavy Drinking Among Weekly Marijuana Users.Profiles of College Drinkers Defined by Alcohol Behaviors at the Week Level: Replication Across Semesters and Prospective Associations With Hazardous Drinking and Dependence-Related Symptoms.Brief intervention to reduce risky drinking in pregnancy: study protocol for a randomized controlled trial.The ad-libitum alcohol 'taste test': secondary analyses of potential confounds and construct validityMeasuring alcohol consumption using Timeline Followback in non-treatment-seeking medical clinic patients with and without HIV infection: 7-, 14-, or 30-day recallAerobic exercise moderates the effect of heavy alcohol consumption on white matter damage.Concurrent validity of an online version of the Timeline Followback assessmentSex differences in college student adherence to NIAAA drinking guidelines.A time-varying effect model of the dynamic association between alcohol use and consequences over the first two years of college.Self-management and Shared Decision-Making in Alcohol Dependence via a Mobile App: a Pilot Study.Peri-conceptual and mid-pregnancy drinking: a cross-sectional assessment in two Scottish health board areas using a 7-day Retrospective Diary.Patterns of Alcohol Consumption in Yunnan Province of China: Which Measure is Optimal?Improving accuracy of adolescents' substance use reports via text messaging.Daily patterns of marijuana and alcohol co-use among individuals with alcohol and cannabis use disorders.Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging AdultsRisKit: The participatory development and observational evaluation of a multi-component programme for adolescent risk behaviour reduction
P2860
Q28477899-B41F7E2B-FC1A-4BD1-B3F6-8544134464B2Q31043488-FD720314-D4E5-4892-86A6-978D0E861650Q33831540-C6934FAD-C618-4DA8-8CC2-31A9F44EEFA2Q33865450-CBAD07AC-BC04-4E52-A128-719A3B9B5E41Q34778962-2CED6000-5161-4F29-9C73-0AAE8ABF66CDQ35546771-25F72110-6719-4201-AC1A-098B5C42ACB1Q35608124-E080A6EA-ABCF-492E-9A37-3B4A243B2980Q35674817-17DA2DE4-C405-4C28-AB8E-33AA31AE37F1Q35840264-978BD8CD-DC34-4AB9-B328-30CBC6112F49Q35911046-7885A111-D8FA-46D7-851E-2983F8A38F18Q35934023-47C8F76A-6D62-417D-80E2-439D2A6064B9Q36213902-F639EEC6-BC16-40A4-B01C-9FEC6980085AQ36458246-F40E0172-285F-4486-8237-85D43986121BQ36458281-D5B5E96A-1324-4DE9-8D9E-B27D5D42E9CDQ36526929-3729AA6D-C85F-4954-AF2E-57E5869AE935Q36573412-20D1C1B9-9297-4F22-BB6B-02959E1C426DQ36698926-AA62FCA2-FB80-476B-92D3-238FABE2D592Q37004546-3045344C-A222-4CA4-80E8-924E13374424Q37021193-16653101-C3A9-410D-BC8C-53FEE545ADAEQ37704722-8A9D80A6-8244-4030-A7D6-9A00EDE79687Q38687040-6BA9024F-945E-44F4-BBFD-46BB4480DC1EQ38942875-EBA0A9DE-F331-4E0C-B875-821EB5CE68BBQ48098626-0DC4576E-DBE9-472E-9BA4-5EAE3A8A07F8Q51278367-F848A8C2-EEA2-4263-8570-1AD9187E28CFQ52300293-B63190AE-5CA7-4FB1-9860-0E0490368D21Q52317805-4B341DFB-3EF5-426D-8F27-860BF834A2E0Q56889599-A19E3CDC-3CFD-4050-8EDA-DBCEEB7D03B4Q58369323-76C48218-CE41-42B6-A367-E125FFAF2656
P2860
How good is fine-grained Timeline Follow-back data? Comparing 30-day TLFB and repeated 7-day TLFB alcohol consumption reports on the person and daily level.
description
2010 nî lūn-bûn
@nan
2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
How good is fine-grained Timel ...... on the person and daily level.
@ast
How good is fine-grained Timel ...... on the person and daily level.
@en
type
label
How good is fine-grained Timel ...... on the person and daily level.
@ast
How good is fine-grained Timel ...... on the person and daily level.
@en
prefLabel
How good is fine-grained Timel ...... on the person and daily level.
@ast
How good is fine-grained Timel ...... on the person and daily level.
@en
P2093
P2860
P1433
P1476
How good is fine-grained Timel ...... on the person and daily level.
@en
P2093
Bettina B Hoeppner
Kristina M Jackson
Nancy P Barnett
P2860
P304
P356
10.1016/J.ADDBEH.2010.08.013
P577
2010-08-13T00:00:00Z