The costs of negative affect attributable to alcohol consumption in later life: A within-between random longitudinal econometric model using UK Biobank

• Published in: PloS one 2019-02, Vol.14 (2), p.e0211357-e0211357
• Main Authors: Li, Chenlu, Moore, Simon C, Smith, Jesse, Bauermeister, Sarah, Gallacher, John
• Format: Article
• Language: English
• Subjects: Adult; Affect; Affect (Psychology); Aged; Alcohol Drinking - economics; Alcohol Drinking - epidemiology; Alcohol Drinking - psychology; Alcohol use; Alcohols; Analysis; Anxiety; Biological Specimen Banks; Biology and Life Sciences; Biometrics; Circadian rhythm; Comorbidity; Consumer research; Criminal statistics; Cross-Sectional Studies; Depression - economics; Depression - epidemiology; Drinking (Alcoholic beverages); Econometric models; Econometrics; Emotions; Female; Happiness; Health aspects; Heterogeneity; Humans; Income; Influence; Logistic Models; Longitudinal Studies; Male; Medical research; Medicine and Health Sciences; Mental depression; Methods; Middle Aged; Models, Econometric; Neurosis; Neuroticism; Personality; Physical Sciences; Proxy; Psychiatry; Random variables; Regression analysis; Regression models; Social Class; Social Sciences; United Kingdom - epidemiology
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0211357

Research demonstrates a negative relationship between alcohol use and affect, but the value of deprecation is unknown and thus cannot be included in estimates of the cost of alcohol to society. This paper aims to examine this relationship and develop econometric techniques to value the loss in affect attributable to alcohol consumption. Cross-sectional (n = 129,437) and longitudinal (n = 11,352) analyses of alcohol consumers in UK Biobank data were undertaken, with depression and neuroticism as proxies of negative affect. The cross-sectional relationship between household income, negative affect and alcohol consumption were analysed using regression models, controlling for confounding variables, and using within-between random models that are robust to unobserved heterogeneity. The differential in household income required to offset alcohol's detriment to affect was derived. A consistent relationship between depression and alcohol consumption (β = 0.001, z = 7.64) and neuroticism and alcohol consumption (β = 0.001, z = 9.24) was observed in cross-sectional analyses, replicated in within-between models (depression β = 0.001, z = 2.32; neuroticism β = 0.001, z = 2.33). Significant associations were found between household income and depression (cross sectional β = -0.157, z = -23.86, within-between β = -0.146, z = -9.51) and household income and neuroticism (cross sectional β = -0.166, z = -32.02, within-between β = -0.158, z = -7.44). The value of reducing alcohol consumption by one gram/day was pooled and estimated to be £209.06 (95% CI £171.84 to £246.27). There was a robust relationship between alcohol consumption and negative affect. Econometric methods can value the intangible effects of alcohol use and may, therefore, facilitate the fiscal determination of benefit.