TY - JOUR
T1 - The assessment of alcoholism in surveys of the general community
T2 - What are we measuring? some insights from the australian twin panel interview survey
AU - Heath, Andrew C.
AU - Bucholz, Kathleen K.
AU - Slutske, Wendy S.
AU - Madden, Pamela A F
AU - Dinwiddie, Stephen H.
AU - Dunne, Michael P.
AU - Statham, Dixie B.
AU - Whitfield, John B.
AU - Martin, Nicholas G.
AU - Eaves, Lindon J.
N1 - Funding Information:
This study was supported in part by NIH grants AA07535 and AA07728, by post-doctoral training grants MH17107 (WSS) and DA07261 (PAFM), and by grants from the Australian National Health and Medical Research Council (NH&MRC).
PY - 1994
Y1 - 1994
N2 - The majority of cases identified by commonly used alcoholism criteria in general community surveys are mild ones, with few alcohol-related problems. We illustrate this using data on 2088 Australian male twins aged 28-89 (mean age = 42.7), including 1846 who reported more than minimal alcohol exposure when surveyed by telephone in 1992-3. Using latent class analysis of alcoholism symptoms reported by these twins, we identify five classes of respondent: those with no alcohol-related problems (49% of the sample, if we include those with minimal alcohol exposure); excessive drinkers (33%; and individuals with a history of mild (14% moderate (3% or severe problems (1% Symptom endorsement profiles associated with these different classes are illustrated. The two most severe classes constitute a substantial majority of those reporting alcoholism treatment, but a minority of those reporting alcohol-related auto accidents or injuries, recurrent hazardous alcohol use, or alcohol-related arrests. The excessive drinkers and persons with mild problems account for a much higher proportion of persons experiencing these outcomes, and thus represent an important group to study from a public health perspective. The use of latent class analysis to improve case detection using structured or semi-structured diagnostic instruments is also discussed.
AB - The majority of cases identified by commonly used alcoholism criteria in general community surveys are mild ones, with few alcohol-related problems. We illustrate this using data on 2088 Australian male twins aged 28-89 (mean age = 42.7), including 1846 who reported more than minimal alcohol exposure when surveyed by telephone in 1992-3. Using latent class analysis of alcoholism symptoms reported by these twins, we identify five classes of respondent: those with no alcohol-related problems (49% of the sample, if we include those with minimal alcohol exposure); excessive drinkers (33%; and individuals with a history of mild (14% moderate (3% or severe problems (1% Symptom endorsement profiles associated with these different classes are illustrated. The two most severe classes constitute a substantial majority of those reporting alcoholism treatment, but a minority of those reporting alcohol-related auto accidents or injuries, recurrent hazardous alcohol use, or alcohol-related arrests. The excessive drinkers and persons with mild problems account for a much higher proportion of persons experiencing these outcomes, and thus represent an important group to study from a public health perspective. The use of latent class analysis to improve case detection using structured or semi-structured diagnostic instruments is also discussed.
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U2 - 10.3109/09540269409023269
DO - 10.3109/09540269409023269
M3 - Article
AN - SCOPUS:0028652674
SN - 0954-0261
VL - 6
SP - 295
EP - 307
JO - International Review of Psychiatry
JF - International Review of Psychiatry
IS - 4
ER -