2002
DOI: 10.15288/jsa.2002.63.325
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Stability of alcohol consumption over time: evidence from three longitudinal surveys from the United States.

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Cited by 111 publications
(104 citation statements)
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References 21 publications
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“…Lifetime abstainers cannot similarly select themselves out of this category as their heath declines, leading to a bias toward a protective effect of current drinking, even when former drinkers are clearly identifi ed. Lifecourse drinking patterns may also be particularly important for assessing the effects of heavy drinking (Emberson et al, 2005), because this type of drinking exhibits less stability over time than more moderate patterns (Kerr et al, 2002).…”
mentioning
confidence: 99%
“…Lifetime abstainers cannot similarly select themselves out of this category as their heath declines, leading to a bias toward a protective effect of current drinking, even when former drinkers are clearly identifi ed. Lifecourse drinking patterns may also be particularly important for assessing the effects of heavy drinking (Emberson et al, 2005), because this type of drinking exhibits less stability over time than more moderate patterns (Kerr et al, 2002).…”
mentioning
confidence: 99%
“…More generally, considerable stability in alcohol use or nonuse emerged across time-76% of the sample either never drank from W1 to W6 or had drunk at least something during each wave. But at the same time, change was evident in almost one quarter of the sample, as others have found (Cook and Moore, 2001;Kerr et al, 2002;Webb et al, 1991). Clearly, individual variation is important to consider.…”
Section: Discussionmentioning
confidence: 79%
“…Yet Markov models can also estimate change processes in which current behavior is infl uenced by more distal behavior as well. Such models are referred to as higher-order models, most appropriate for change processes such as current alcohol use that likely have a strong effect of history (Cook and Moore, 2001;Erkanli et al, 2001;Kerr et al, 2002;Langeheine and van de Pol, 2000).…”
Section: Markov Modelsmentioning
confidence: 99%
“…However, results based on one-point assessments of alcohol consumption should be interpreted with caution, since especially younger and heavier drinkers often alternate between abstention/light drinking and moderate/heavy drinking, which only can be identified by using multiple measurements or retrospective measures (Kerr, Fillmore, & Bostrom, 2002). The sample sizes for each of our study countries, especially Uganda, were not particularly large, and this could have led to a lack of significant relationships.…”
Section: Limitationsmentioning
confidence: 87%