Abstract
Abstract Background Policies to tackle obesity have increasingly targeted drinks, in particular sugar-sweetened beverages (SSBs), as a major source of excess sugar and energy. However, precision targeting of policies is difficult as information on what types of consumers they might affect, and to what degree, is missing. To fill this gap, we categorised consumers on the basis of drink purchase behaviour and explored whether they are patterned by socio-demographic characteristics, total food purchasing and weight status. Methods We used latent class (LC) analysis to characterise patterns of drink purchases using the 2016 UK Kantar FMCG household purchase panel. We restricted analyses to frequent purchasers of drinks (n = 8,675) and used 6 drink categories: SSB; diet drink; fruit-/milk-based drinks; beer & cider; wine; and water. We used multinomial logistic and linear models to relate household characteristics, BMI and food purchase behaviours to LC membership. Results We identified 7 LCs. Disadvantaged households were more frequent in LCs with high volumes of SSBs ('SSB') and diet drinks ('Diet'). Higher BMI was more likely in LCs 'Diet' and 'SSB'. LC 'SSB' obtained higher total energy, relatively less energy from fruits and vegetables, and more energy from less healthy products, compared to others. LCs 'Diet' and 'SSB' obtained relatively more energy from sweet snacks. Conclusions Households who mainly purchased high volumes of SSBs or diet drinks were at greater risk of obesity and tended to purchase less healthy foods, including a high proportion of energy from sweet snacks. These households might additionally benefit from policies targeting unhealthy foods, such as sweet snacks, as a way of reducing excess energy intake. Key messages The effects of fiscal policies on SSB consumption is likely to vary across types of beverage consumers. Fiscal policies should be extended to sweet snacks as a major source of excess energy.
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