False Negatives in the Assessment of Lifetime Alcohol Use Disorders: A Serious But Unappreciated Problem

Haeny, Angela M.; Littlefield, Andrew K.; Sher, Kenneth J.

doi:10.15288/jsad.2014.75.530

Cited by 6 publications

(6 citation statements)

References 25 publications

(33 reference statements)

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“…First, diagnostic data pertaining to childhood and early adolescence (> age ~ 15) were based on retrospective assessments collected at T 1 . Retrospective data are subject to recall-related biases that frequently result in the under-reporting of psychopathology (Haeny et al., 2014a, 2014b; Moffitt et al, 2010). Second, this study was limited by its emphasis on predictors of index AUD episodes during early adolescence through early adulthood.…”

Section: Discussionmentioning

confidence: 99%

Internalizing and externalizing disorders as predictors of alcohol use disorder onset during three developmental periods

Farmer

Gau

Seeley

et al. 2016

Drug and Alcohol Dependence

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Background The developmental pathways associated with an enhanced risk for future alcohol use disorders (AUDs) continue to be a topic of both interest and debate. In this research, internalizing and externalizing disorders were evaluated as prospective predictors of the index AUD episode onset, separately within three developmental periods: early-to-middle adolescence (age 13.0 to 17.9), late adolescence (18.0 to 20.9), and early adulthood (21.0 to 30.0). Methods Participants (N = 816) were initially randomly selected from nine high schools in western Oregon and subsequently interviewed on four separate occasions between ages 16 and 30, during which current and past AUDs were assessed as well as a full range of psychiatric disorders associated with internalizing and externalizing psychopathology domains. Results In adjusted analyses for each of the three developmental periods investigated, externalizing domain psychopathology from the most proximal adjoining developmental period predicted time to AUD onset. Distal externalizing psychopathology also predicted time to AUD onset among early adult onset cases. Proximal or distal internalizing psychopathology, in comparison, was not found to be a significant predictor of AUD onset in adjusted analyses for any of the developmental periods examined. Conclusions Findings overall suggest that externalizing developmental histories are robust predictors of AUD onset within the age range during which index episodes are most likely to occur, and that gender does not moderate this association.

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Section: Discussionmentioning

confidence: 99%

Internalizing and externalizing disorders as predictors of alcohol use disorder onset during three developmental periods

Farmer

Gau

Seeley

et al. 2016

Drug and Alcohol Dependence

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“…Notably, it is often not practical to conduct multiple lifetime assessments; in this event, researchers should be aware and make note of the limitations of single assessments of lifetime AUD in relation to their correlates. Based on the current study, prior studies by our group (Haeny et al, 2014a,b), and others (Grant, Dawson, Stinson, Chou, Kay, & Pickering, 2003; Chatterji, Saunders, Vrasti, Grant, Hasin, & Mager, 1997; Copeland et al, 2011; Moffitt et al, 2010), it is clear that the reliability of lifetime diagnosis is much less than is typically recognized, single assessments underestimate the prevalence of lifetime AUD, and also underestimate the strength of association with important correlates.…”

Section: Resultsmentioning

confidence: 46%

“…Prior research indicates that single lifetime assessments tend to largely underestimate prevalence compared to cumulative assessments (Haeny et al, 2014a,b). While logically it might be expected that longer intervals between measurement occasions would result in higher estimates of lifetime prevalence owing to a longer period of which new onsets could accrue, this has not been found to be true in our own work nor in the work of others of which we are aware.…”

Section: Resultsmentioning

confidence: 99%

“…Estimating lifetime prevalence of AUD is useful for understanding factors associated with the development of this disorder, and emerging evidence suggests studies based on cross-sectional assessments provide lower prevalence estimates compared to multiple, sequential assessments (Copeland, Shanahan, Costello, & Angold, 2011; Haeny, Littlefield, & Sher, 2014a; Moffitt et al, 2010). This is because lifetime diagnosis based upon a single report is surprisingly unreliable as indicated by: (1) individuals meeting lifetime criteria at a given measurement occasion failing to rediagnose at a subsequent occasion (“negative prevalence”; Jackson et al, 2006; Robins, 1985; Shrout et al, 2011; Vandiver and Sher, 1991), and (2) individuals reporting dates of onset of disorder at times predating an earlier measurement occasion where no lifetime diagnosis was reported (Haeny, Littlefield, & Sher, 2014b). With this in mind, it has been suggested that longitudinal studies assessing lifetime AUD should conduct a full-lifetime assessment at each time period instead of only assessing the interval since the last the interview (Haeny et al, 2014a).…”

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confidence: 99%

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Limitations of lifetime alcohol use disorder assessments: A criterion-validation study

Haeny

Littlefield

Sher

2016

Addictive Behaviors

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The goal of the present study was to compare etiologically and clinically relevant correlates of lifetime AUD (e.g., alcohol consumption, personality traits, psychiatric disorders) based on a single assessment compared to a cumulative, prospective assessment of lifetime AUD. Data were drawn from the Alcohol, Health and Behavior (AHB; baseline N = 489) study, which consisted of a prospective cohort of college students assessed seven times over a 16-year period ([M(SD) age at baseline = 18.56 (.97)] and [M(SD) age at final assessment = 34.33 (.82)]). The participants were assessed using the Diagnostic Interview Schedule (DIS) for DSM-III at Waves 1-7 and for DSM-IV at Waves 6-7. A single assessment and cumulative assessments of DSM-III lifetime AUD at Wave 6 (M[SD] age = 28.98 [1.03]) were used to predict past-year alcohol related variables (e.g., alcohol consumption, drinking motives, drinking expectancies), personality variables, general functioning, lifetime substance use, and lifetime psychiatric disorders at Wave 7. Significantly larger correlations were found between the cumulative assessment and eight of the 25 etiologically relevant correlates of AUD compared to the single assessment. Further, significant incremental validity of cumulative assessment over single, retrospective assessment was observed for 16 of the 25 covariates. Overall, this study provides further support for the value of using prospective data with multiple assessments when determining lifetime history of disorder.

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“…Also, the current study was unable to consider the impact of impulsivity in the parents on their reports of offspring impulsive behavior. Given prior research indicating single assessments of AUD tend to be underestimated, it is likely there were false negatives for FHA in this study (Haeny, Littlefield, & Sher, 2014a, 2014b, 2016).…”

Section: Discussionmentioning

confidence: 82%

Method effects of the relation between family history of alcoholism and parent reports of offspring impulsive behavior

Haeny

Littlefield

Wood

et al. 2018

Addictive Behaviors

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There is an extensive, albeit inconsistent, literature on the relation between parental alcoholism and offspring impulsive behavior. The reasons for this inconsistency are likely multiple but it seems probable that method effects due to different methodological approaches might explain some of the inconsistencies. Offspring behavior is typically assessed based on informant reports. However, no specific method has been demonstrated as optimal for analyzing informant reports, and conclusions may differ depending on the method used. The present study compared findings derived from a multi-informant method proposed by Bauer et al. (2013) to other structural equation models. Participants came from Wave 7 of the Alcohol, Health and Behavior study and included mother and father reports of offspring impulsive behavior on the Health and Behavior Questionnaire (Armstrong, Goldstein, & the MacArthur Working Group on Outcome Assessment, 2003). There were 368 offspring (50% female, age range 3-17 years, mean = 6.78, SD = 3.07) from 205 families. The multi-informant model and the single-reporter models each provided a good fit of the data; however, findings differed based on the approach employed. Specifically, the mother-only report model found that offspring with a family history of alcoholism (FHA) were more impulsive compared to offspring without a FHA; no effect of FHA was found in the other single-reporter models. Ratings of offspring impulsive behavior were higher on the father perspective factor suggesting alcoholic fathers were biased in their reports. These findings highlight the relation between FHA and impulsive behavior varies depending on the analytic method used.

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False Negatives in the Assessment of Lifetime Alcohol Use Disorders: A Serious But Unappreciated Problem

Cited by 6 publications

References 25 publications

Internalizing and externalizing disorders as predictors of alcohol use disorder onset during three developmental periods

Internalizing and externalizing disorders as predictors of alcohol use disorder onset during three developmental periods

Limitations of lifetime alcohol use disorder assessments: A criterion-validation study

Method effects of the relation between family history of alcoholism and parent reports of offspring impulsive behavior

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