The Stability and Reliability of Self-Reported Drinking Measures

Gruenewald, Paul J.; Johnson, Fred W.

doi:10.15288/jsa.2006.67.738

Cited by 65 publications

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“…Sensitivity analyses using a measure of 3+ glasses consumed at a frequency of 'a few times a month' yielded results consistent with those presented in this paper. In addition, existing evidence suggests that validity and reliability of self-reported drinking measures like those used in this stud are generally reasonable ([Del Boca and Darkes, 2003] and [Gruenewald and Johnson, 2006]). Neverth future studies with greater capacity to assess patterns of alcohol consumption during pregnancy should assess the risk associated with more frequent exposure to alcohol consumption.…”

mentioning

confidence: 80%

The developmental origin of adolescent alcohol use: Findings from the Mater University Study of Pregnancy and its outcomes

Alati¹,

Clavarino²,

Najman³

et al. 2008

Drug and Alcohol Dependence

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BackgroundIt is unclear whether fetal alcohol exposure contributes to alcohol use in adolescence. In this study, we examine the association between maternal alcohol use in pregnancy and adolescents' drinking patterns at age 14. MethodsThe association of maternal alcohol exposure with early drinking was examined in 4363 adolescents taking part to the Mater University Study of Pregnancy (MUSP) and its outcomes, a population based birth cohort study commenced in Brisbane (Australia) in 1981. Mothers and children were followed up at birth, 5 and 14 years after the initial interview. Maternal alcohol use was assessed before and during pregnancy and at the 5 years follow-up. Adolescents' alcohol use was assessed at child age 14. ResultsIn multivariable analysis those born of mothers who consumed 3+ glasses during pregnancy were at increased risk to report drinking 3+ glasses compared with those whose mothers reported no drinking or drinking up to 2 glasses. Comparisons controlling for drinking before pregnancy and at age 5 found the averaged odds ratio of maternal drinking in pregnancy on risk of reporting alcohol consumption of 3 and more glasses at age 14 was 2.74 (CI 1.70, 4.22). ConclusionOur study suggests that they maybe a biological origin of early drinking. Further studies are needed to better disentangle the nature of the association and the role of other possible confounding factors.

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confidence: 80%

The developmental origin of adolescent alcohol use: Findings from the Mater University Study of Pregnancy and its outcomes

Alati¹,

Clavarino²,

Najman³

et al. 2008

Drug and Alcohol Dependence

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“…Thus, the inherent imprecision in a single measurement of both lifestyle factors and telomere length may non-differentially influence the observed estimates of association. However, good short-term reliability in measurement of telomere length over a period of months has been demonstrated (64), and longitudinal panel studies have also demonstrated some degree of stability in lifestyle factors measured in adult populations (65)(66)(67)(68)(69)(70)(71).…”

Section: Cancer Epidemiol Biomarkers Prev; 25(2) February 2016mentioning

confidence: 99%

The Influence of Alcohol Consumption, Cigarette Smoking, and Physical Activity on Leukocyte Telomere Length

Latifovic

Peacock

Massey

et al. 2016

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Telomeres protect from DNA degradation and maintain chromosomal stability. Short telomeres have been associated with an increased risk of cancer at several sites. However, there is limited knowledge about the lifestyle determinants of telomere length. We aimed to determine the effect of three factors, known to be important in cancer etiology, on relative leukocyte telomere length (rLTL): alcohol consumption, smoking, and physical activity.Methods: This cross-sectional study included 477 healthy volunteers ages 20 to 50 years who completed a questionnaire and provided a fasting blood sample. Multiplex quantitative realtime PCR (qPCR) was used to measure rLTL. Regression coefficients were calculated using multiple linear regression while controlling for important covariates.Results: There was no association between alcohol consumption and rLTL. Daily smokers and those in the middle and lower

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“…Model fits were good, with an average R 2 value of .98. Drinking measures derived from this procedure exhibit good reliability (Gruenewald & Johnson, 2006). These procedures provided estimates of F, V, Q, F(Q > k), and variance in drinking quantities for every drinker in the sample.…”

Section: Data Sourcesmentioning

confidence: 95%

Sources of Misspecification Bias in Assessments of Risks Related to Alcohol Use

Gruenewald

Wang-Schweig

Mair

2016

J. Stud. Alcohol Drugs

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ABSTRACT. Objective:Many different measures of alcohol use are applied in survey-based epidemiological studies of alcohol-related risks. Differences in the selection of drinking measures and alternative specifications of quantitative relationships of these measures to problem outcomes limit researchers' abilities to compare and assess alcohol effects across studies. We used a quantitative definition of drinking patterns to identify relationships among drinking measures and uncover sources of bias in assessments of drinking risks. Method: A census of drinking measures from studies published in four leading journals in the first half of 2013 were mapped onto a "drinking patterns table," quantitatively relating each measure to every other. Relationships among these measures and in relation to two problem outcomes, physiological problems and sexual risks, were examined using data from 41,352 undergraduate college student drinkers in California. Results: Twenty-nine sets of drinking measures appeared across 74 published studies; no common statistical procedure was used to assess drinking risks. Empirically observed distributions of heavy drinking (R 2 = .887, p < .001) and variances in drinking quantities (R 2 = .645, p < .001) were predicted from the drinking patterns table. Heteroscedasticity in drinking measures also biased estimates of physiological risks related to drinking quantities (z = -5.159, p < .001), volume (z = 4.592, p < .001), and heavy drinking (z = -5.431, p < .001). Conclusions:Relationships between drinking measures can be formally identified and related to one another using drinking patterns tables. Biases related to selections of different drinking measures and unobserved heteroscedasticity can be identified and controlled through formal quantitative assessments of relationships between drinking measures and observed outcomes. (J. Stud. Alcohol Drugs, 77, 802-810, 2016)

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The Stability and Reliability of Self-Reported Drinking Measures

Cited by 65 publications

References 0 publications

The developmental origin of adolescent alcohol use: Findings from the Mater University Study of Pregnancy and its outcomes

The developmental origin of adolescent alcohol use: Findings from the Mater University Study of Pregnancy and its outcomes

The Influence of Alcohol Consumption, Cigarette Smoking, and Physical Activity on Leukocyte Telomere Length

Sources of Misspecification Bias in Assessments of Risks Related to Alcohol Use

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