Distinct health-related risk profiles among middle-aged and older adults with risky alcohol use from the Danish general population

•Middle-aged and older risky drinkers may differ by health-related variables.•We conducted an LCA with Danish middle-aged and older risky drinkers.•Health indicators included different types of functioning limitations and distress.•Up to six distinct health-profiles were found (e.g. class ‘pain-rela...

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Veröffentlicht in:Drug and alcohol dependence 2021-09, Vol.226, p.108872-108872, Article 108872
Hauptverfasser: Behrendt, Silke, Kuerbis, Alexis, Becker, Ulrik, Mejldal, Anna, Andersen, Kjeld, Søgaard Nielsen, Anette, Tolstrup, Janne, Holm Eliasen, Marie
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Sprache:eng
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Zusammenfassung:•Middle-aged and older risky drinkers may differ by health-related variables.•We conducted an LCA with Danish middle-aged and older risky drinkers.•Health indicators included different types of functioning limitations and distress.•Up to six distinct health-profiles were found (e.g. class ‘pain-related distress’).•These risk profiles can inform prevention planning for older risky drinkers. Knowledge is lacking on distinct health-related risk profiles among the substantial group of middle-aged and older adults with risky alcohol use (AU). Such profiles could inform the planning of interventions and prevention. To 1) identify distinct health-related profiles based on different types of health-related functioning limitations and distress and 2) assess associations between these profiles and age, sex, and health-relevant behaviors (e.g., smoking). Cross-sectional nation-wide Danish health survey with n = 6630 adults aged 55–64 and n = 7605 aged 65–74 with at least risky AU (>84 g ethanol/week in women, >168 in men). Health-related risk profiles were identified with Latent Class Analysis (LCA). Multinomial regression was applied for the association between risk profiles and auxiliary variables. A six-class LCA solution was found among 55–64 year-olds (classes: ‘Normative’ [61%], ‘Distress’ [6%], ‘Mental health limitations [5%]’, ‘Pain-related distress [10%]’, ‘Broad limitations and pain distress [7%]’, ‘High overall burden’ [11%]) and a five-class solution among 65–74 year-olds. Most classes were comparable across age groups. The ‘Distress’-class characterized by pain-distress, tiredness-distress, and sleep-related distress (6%) only showed in the younger group. In both age groups, auxiliary covariates (high-risk AU, possible alcohol use disorder, weekly smoking) were positively associated with problematic profile membership (vs. normative class membership). Middle-aged and older adults with risky AU have distinct health-related profiles relevant for the form and content of prevention and interventions. Despite their distinct features, almost all problematic health profiles warrant careful attention regarding high-risk AU and probable alcohol use disorder.
ISSN:0376-8716
1879-0046
DOI:10.1016/j.drugalcdep.2021.108872