Dataset Information

Are Lower-Strength Beers Gateways to Higher-Strength Beers? Time Series Analyses of Household Purchases from 64,280 British Households, 2015-2018.

ABSTRACT:

Aims

Buying and consuming no- (per cent alcohol by volume, ABV = 0.0%) and low- (ABV = >0.0% and ≤ 3.5%) alcohol beers could reduce alcohol consumption but only if they replace buying and drinking higher-strength beers. We assess whether buying new no- and low-alcohol beers increases or decreases British household purchases of same-branded higher strength beers.

Methods

Generalized linear models and interrupted time series analyses, using purchase data of 64,280 British households from Kantar Worldpanel's household shopping panel, 2015-2018. We investigate the extent to which the launch of six new no- and low-alcohol beers affected the likelihood and volume of purchases of same-branded higher-strength beers.

Results

Households that had never previously bought a same-branded higher-strength beer but bought a new same-branded no- or low-alcohol beer were less than one-third as likely to go on and newly buy the same-branded higher-strength product. When they did later buy the higher-strength product, they bought half as much volume as households that had not bought a new same-branded no- or low-alcohol beer. For households that had previously purchased a higher-strength beer, the introduction of the new same-branded no- or low-alcohol beer was associated with decreased purchases of the volume of the higher-strength beer by, on average, one-fifth.

Conclusions

The increased availability of new no- and low-alcohol beers does not seem to be a gateway to purchasing same-branded higher-strength beers but rather seems to replace purchases of these higher-strength products. Thus, introduction of new no- and low-alcohol beers could contribute to reducing alcohol consumption.

SUBMITTER: Jane Llopis E

PROVIDER: S-EPMC9270994 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Are Lower-Strength Beers Gateways to Higher-Strength Beers? Time Series Analyses of Household Purchases from 64,280 British Households, 2015-2018.

Jané Llopis Eva E O'Donnell Amy A Kaner Eileen E Anderson Peter P

Alcohol and alcoholism (Oxford, Oxfordshire) 20220701 4

<h4>Aims</h4>Buying and consuming no- (per cent alcohol by volume, ABV = 0.0%) and low- (ABV = >0.0% and ≤ 3.5%) alcohol beers could reduce alcohol consumption but only if they replace buying and drinking higher-strength beers. We assess whether buying new no- and low-alcohol beers increases or decreases British household purchases of same-branded higher strength beers.<h4>Methods</h4>Generalized linear models and interrupted time series analyses, using purchase data of 64,280 British households ...[more]

PMID: 35512687

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Project description:BackgroundBeverages, especially sugar-sweetened beverages (SSBs), have been increasingly subject to policies aimed at reducing their consumption as part of measures to tackle obesity. However, precision targeting of policies is difficult as information on what types of consumers they might affect, and to what degree, is missing. We fill this gap by creating a typology of beverage consumers in Great Britain (GB) based on observed beverage purchasing behaviour to determine what distinct types of beverage consumers exist, and what their socio-demographic (household) characteristics, dietary behaviours, and weight status are.Methods and findingsWe used cross-sectional latent class analysis to characterise patterns of beverage purchases. We used data from the 2016 GB Kantar Fast-Moving Consumer Goods (FMCG) panel, a large representative household purchase panel of food and beverages brought home, and restricted our analyses to consumers who purchase beverages regularly (i.e., >52 l per household member annually) (n = 8,675). Six categories of beverages were used to classify households into latent classes: SSBs; diet beverages; fruit juices and milk-based beverages; beer and cider; wine; and bottled water. Multinomial logistic regression and linear regression were used to relate class membership to household characteristics, self-reported weight status, and other dietary behaviours, derived from GB Kantar FMCG. Seven latent classes were identified, characterised primarily by higher purchases of 1 or 2 categories of beverages: 'SSB' (18% of the sample; median SSB volume = 49.4 l/household member/year; median diet beverage volume = 38.0 l), 'Diet' (16%; median diet beverage volume = 94.4 l), 'Fruit & Milk' (6%; median fruit juice/milk-based beverage volume = 30.0 l), 'Beer & Cider' (7%; median beer and cider volume = 36.3 l; median diet beverage volume = 55.6 l), 'Wine' (18%; median wine volume = 25.5 l; median diet beverage volume = 34.3 l), 'Water' (4%; median water volume = 46.9 l), and 'Diverse' (30%; diversity of purchases, including median SSB volume = 22.4 l). Income was positively associated with being classified in the Diverse class, whereas low social grade was more likely for households in the classes SSB, Diet, and Beer & Cider. Obesity (BMI > 30 kg/m2) was more prevalent in the class Diet (41.2%, 95% CI 37.7%-44.7%) despite households obtaining little energy from beverages in that class (17.9 kcal/household member/day, 95% CI 16.2-19.7). Overweight/obesity (BMI > 25 kg/m2) was above average in the class SSB (66.8%, 95% CI 63.7%-69.9%). When looking at all groceries, households from the class SSB had higher total energy purchases (1,943.6 kcal/household member/day, 95% CI 1,901.7-1,985.6), a smaller proportion of energy from fruits and vegetables (6.0%, 95% CI 5.8%-6.3%), and a greater proportion of energy from less healthy food and beverages (54.6%, 95% CI 54.0%-55.1%) than other classes. A greater proportion of energy from sweet snacks was observed for households in the classes SSB (18.5%, 95% CI 18.1%-19.0%) and Diet (18.8%, 95% CI 18.3%-19.3%). The main limitation of our analyses, in common with other studies, is that our data do not include information on food and beverage purchases that are consumed outside the home.ConclusionsAmongst households that regularly purchase beverages, those that mainly purchased high volumes of SSBs or diet beverages 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.

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Dataset Information

Are Lower-Strength Beers Gateways to Higher-Strength Beers? Time Series Analyses of Household Purchases from 64,280 British Households, 2015-2018.

Aims

Methods

Results

Conclusions

Publications

Are Lower-Strength Beers Gateways to Higher-Strength Beers? Time Series Analyses of Household Purchases from 64,280 British Households, 2015-2018.

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