Socioeconomic differences in purchases of more vs. less healthy foods and beverages: analysis of over 25,000 British households in 2010.
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ABSTRACT:
SUBMITTER: Pechey R
PROVIDER: S-EPMC3726935 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background:To our knowledge, the association between diet and socioeconomic status (SES), using both purchase and intake data, in the Mexican population has not been examined, which is particularly important given the high prevalence of diet-related diseases in Mexico. Objective:Our objective was to examine the SES-diet relation using household food purchases and individual food intake data. Methods:We analyzed purchases of packaged food and beverages of 5240 households with the use of the 2012-2014 Nielsen Mexico Consumer Panel Service Dataset, representative of urban areas. Likewise, we examined 9672 individuals over 2 y with food and beverage intake information collected using a single 24-h recall as part of the Mexican National Health and Nutrition Survey 2012. Multivariate linear regression models were conducted to predict per capita daily purchases and intakes of food and beverages classified as healthy and less healthy by SES, and adjusting for sociodemographic variables. Results:Per capita daily purchases of healthy and less-healthy foods were, on average, 142% and 55% higher in high- than in low-SES households, respectively, from 2012 to 2014 (P < 0.05). Intakes of healthy and less-healthy foods in urban areas were, on average, 7% and 136% higher in high- than in low-SES groups (P < 0.05). Per capita daily purchases of healthy beverages were, on average, 56% higher in high- than in low-SES households from 2012 to 2014 (P < 0.05), whereas purchases of less-healthy beverages were 27% and 17% higher in low- than in high-SES households in 2012 and 2014, respectively (P < 0.05). Per capita daily intake of healthy beverages was 33% higher in high- than in low-SES groups (P < 0.05). Conclusion:Higher-SES groups from urban areas had greater purchases and intakes of less-healthy foods and healthy beverages. Lower-SES households had greater purchases of less-healthy beverages, but also had the largest reduction in these purchases from 2012 to 2014, which could be associated with the beverage tax implemented in Mexico in 2014.
| S-EPMC6251618 | biostudies-literature
Project description:Where people shop for food is often linked to the healthiness of food purchases. In Mexico, no research has examined the connection between where people shop, what they buy, and their socioeconomic status (SES). Mexico's sugary beverage and junk food taxes have made households decrease purchases of taxed products. However, whether households have changed where they shop is unknown. To address this gap, we use a repeated cross-sectional analysis of household packaged food and beverage purchases from the Nielsen Mexico Consumer Panel Survey from 2012 to 2015 (n > 5500 households). We examine changes in the volume of the purchase of taxed and untaxed products from different store-types (i.e., convenience stores, supermarkets, traditional retailers, wholesalers, home water-delivery, and others) by SES using multivariate linear regression models. Results show that high-SES households purchased more foods and beverages at all store-types except for low-SES who purchased the most foods and taxed beverages at traditional retailers. Purchases of taxed foods and beverages from traditional retailers significantly decreased for low-SES and middle-SES households and from supermarkets for middle-SES and high-SES households. Purchases of untaxed beverages from wholesalers significantly increased for middle-SES households and from convenience stores for high-SES households. Our findings suggest that consumers choose different stores to purchase beverages than to purchase foods and that taxes may have differentially affected each store-type.
| S-EPMC6115932 | biostudies-literature
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.
| S-EPMC7478648 | biostudies-literature
Project description:ImportanceThe relationship between a sweetened beverage tax and changes in the prices and purchases of beverages and high-sugar food is understudied in the long term and in small independent food retail stores where sugar-sweetened beverages are among the most commonly purchased items.ObjectiveTo examine whether a 1.5 cent-per-fluid-ounce excise tax on sugar- and artificially sweetened beverages Philadelphia, Pennsylvania, was associated with sustained changes in beverage prices and purchases, as well as calories purchased from beverages and high-sugar foods, over 2 years at small independent stores.Design, setting, and participantsThis cross-sectional study used a difference-in-differences approach to compare changes in beverage prices and purchases of beverages and high-sugar foods (candy, sweet snacks) at independent stores in Philadelphia and Baltimore, Maryland (a nontaxed control) before and 2 years after tax implementation, which occurred on January 1, 2017. Price comparisons were also made to independent stores in Philadelphia's neighboring counties.Main outcomes and measuresChanges in mean price (measured in cents per fluid ounce) of taxed and nontaxed beverages, mean fluid ounces purchased of taxed and nontaxed beverages, and mean total calories purchased from beverages and high-sugar foods.ResultsCompared with Baltimore independent stores, taxed beverage prices in Philadelphia increased 2.06 cents per fluid ounce (95% CI, 1.75 to 2.38 cents per fluid ounce; P < .001), with 137% of the tax passed through to prices 2 years after tax implementation, while nontaxed beverage prices had no statistically significant change. A total of 116 independent stores and 4738 customer purchases (1950 [41.2%] women; 4351 [91.8%] age 18 years or older; 1006 [21.2%] White customers, 3185 [67.2%] Black customers) at independent stores were assessed for price and purchase comparisons. Purchases of taxed beverages declined by 6.1 fl oz (95% CI, -9.9 to -2.4 fl oz; P < .001), corresponding to a 42% decline in Philadelphia compared with Baltimore; there were no significant changes in purchases of nontaxed beverages. Although there was no significant moderation by neighborhood income or customer education level, exploratory stratified analyses revealed that declines in taxed beverage purchases were larger among customers shopping in low-income neighborhoods (-7.1 fl oz; 95% CI, -13.0 to -1.1 fl oz; P = .001) and individuals with lower education levels (-6.9 fl oz; 95% CI, -12.5 to -1.3 fl oz; P = .001).Conclusions and relevanceThis cross-sectional study found that a tax on sweetened beverages was associated with increases in price and decreases in purchasing. Beverage excise taxes may be an effective policy to sustainably decrease purchases of sweetened drinks and calories from sugar in independent stores, with large reductions in lower-income areas and among customers with lower levels of education.
| S-EPMC8207239 | biostudies-literature
Project description:AimsBuying 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.MethodsGeneralized 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.ResultsHouseholds 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.ConclusionsThe 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.
| S-EPMC9270994 | biostudies-literature
Project description:Mass spectrometry (MS)-based proteomics is often performed in a shotgun format, in which as many peptide precursors as possible are selected from full or MS1 scans so that their fragment spectra can be recorded in MS2 scans. Although achieving great proteome depths, shotgun proteomics cannot guarantee that each precursor will be fragmented in each run. In contrast, targeted proteomics aims to reproducibly and sensitively record a restricted number of precursor/fragment combinations in each run, based on prescheduled mass-to-charge and retention time windows. Here we set out to unify these two concepts by a global targeting approach in which an arbitrary number of precursors of interest are detected in real-time, followed by standard fragmentation or advanced peptide-specific analyses. We made use of a fast application programming interface to a quadrupole Orbitrap instrument and real-time recalibration in mass, retention time and intensity dimensions to predict precursor identity. MaxQuant.Live is freely available (www.maxquant.live) and has a graphical user interface to specify many predefined data acquisition strategies. Acquisition speed is as fast as with the vendor software and the power of our approach is demonstrated with the acquisition of breakdown curves for hundreds of precursors of interest. We also uncover precursors that are not even visible in MS1 scans, using elution time prediction based on the auto-adjusted retention time alone. Finally, we successfully recognized and targeted more than 25,000 peptides in single LC-MS runs. Global targeting combines the advantages of two classical approaches in MS-based proteomics, whereas greatly expanding the analytical toolbox.
| S-EPMC6495250 | biostudies-literature
Project description:BackgroundA plant-based diet protects against chronic oxidative stress-related diseases. Dietary plants contain variable chemical families and amounts of antioxidants. It has been hypothesized that plant antioxidants may contribute to the beneficial health effects of dietary plants. Our objective was to develop a comprehensive food database consisting of the total antioxidant content of typical foods as well as other dietary items such as traditional medicine plants, herbs and spices and dietary supplements. This database is intended for use in a wide range of nutritional research, from in vitro and cell and animal studies, to clinical trials and nutritional epidemiological studies.MethodsWe procured samples from countries worldwide and assayed the samples for their total antioxidant content using a modified version of the FRAP assay. Results and sample information (such as country of origin, product and/or brand name) were registered for each individual food sample and constitute the Antioxidant Food Table.ResultsThe results demonstrate that there are several thousand-fold differences in antioxidant content of foods. Spices, herbs and supplements include the most antioxidant rich products in our study, some exceptionally high. Berries, fruits, nuts, chocolate, vegetables and products thereof constitute common foods and beverages with high antioxidant values.ConclusionsThis database is to our best knowledge the most comprehensive Antioxidant Food Database published and it shows that plant-based foods introduce significantly more antioxidants into human diet than non-plant foods. Because of the large variations observed between otherwise comparable food samples the study emphasizes the importance of using a comprehensive database combined with a detailed system for food registration in clinical and epidemiological studies. The present antioxidant database is therefore an essential research tool to further elucidate the potential health effects of phytochemical antioxidants in diet.
| S-EPMC2841576 | biostudies-literature
Project description:OBJECTIVES:To examine (1) the association between household socioeconomic status (SES) and whether a household spends money on cigarettes and (2) socioeconomic variations in proportion of total household expenditure spent on cigarettes among smoking households. METHODS:We pooled data from six consecutive years, 2010-2015, of the Consumer Expenditure Interview Survey. The interviews involved a structured questionnaire about household income, demographics and expenditures including expenditure on cigarettes. Households that reported cigarette expenditure in the previous 3?months were distinguished as smoking households. SES indicators were household poverty status, education and occupation of the head of household. Logistic regression was used to assess the association of household smoking status with SES. Fractional logistic regression was used to assess the association of cigarette expenditure as a proportion of total household expenditure with SES. The analysis sample size was 39?218. RESULTS:The probability of spending money on cigarettes was higher among lower SES households. Households in poverty compared with those above 300% of poverty threshold had 1.86 (95% CI 1.61 to 2.16), households headed by a person with less than high school education compared with those headed by a person with at least a bachelor's degree had 3.37 (95% CI 2.92 to 3.89) and households headed by a blue-collar work compared with those headed by a person in a managerial occupation had 1.45 (95% CI 1.26 to 1.66) higher odds of spending money on cigarettes. Similarly, the proportion of total household expenditure spent on cigarettes was higher among lower SES smoking households. CONCLUSION:Lower SES households are more likely to spend money on cigarettes and spend a larger proportion of their total expenditure on cigarettes. We recommend strategies effective in reducing smoking among low SES smokers.
| S-EPMC6009464 | biostudies-literature
Project description:Current food databases might not capture rapidly occurring changes in the food supply, such as the increased use of caloric (CS) and low-calorie sweeteners (LCS) in products.We explored trends in purchases and intake of foods and beverages containing LCS, CS or both sweeteners over the last decade in the United States, as well as household and socioeconomic status (SES) predictors of these trends.We analyzed household purchases from Homescan 2000-2010 (n?=?140?352 households; 408?458 individuals) and dietary intake from National Health And Nutrition Examination Survey (NHANES) 2003-2010 (n?=?34?391 individuals). We estimated per capita purchases and intake (g or mL?d(-1)) and percent of consumers of foods and beverages containing LCS, CS or both LCS?+?CS. We estimated change in purchases associated with SES and household composition using random-effects longitudinal models.From 2000 to 2010, percent of households purchasing CS products decreased, whereas that for LCS and LCS?+?CS products increased among all types of households and particularly among those with children. African-American, Hispanic and households with children had a higher % CS beverage purchases (+9, +4 and +3%, respectively, P?<?0.001) and lower % LCS beverage purchases (-12, -5 and -2%, respectively, P?<?0.001).During a period of declining purchases and consumption of CS products, we have documented an increasing trend in products that contain LCS and a previously unexplored trend in products with both LCS and CS, especially important among households with children.
| S-EPMC3711951 | biostudies-literature
Project description:BackgroundAlthough consumption of sugar-sweetened beverages (SSBs) is associated with higher caloric intakes, the amount SSBs contribute to higher intakes has not been addressed.PurposeTo estimate the amount SSBs contribute to higher caloric intakes and determine how the diets of SSB consumers and nonconsumers differ.MethodsThe What We Eat In America, NHANES 2003-2010 surveys were combined into a sample of 13,421 children; analyses were conducted in December 2012. To determine the contribution of SSBs to higher caloric intakes, total non-SSB intake (food + non-SSB beverages) of SSB consumers and nonconsumers were compared using linear regression models controlling for demographic and socioeconomic factors. Analyses also compared intakes between nonconsumers and SSB consumers with different amounts of SSB consumption.ResultsFor children aged 2-5 years and 6-11 years, total non-SSB intakes did not differ between nonconsumers and SSB consumers at any level of SSB consumption, indicating that SSBs were primarily responsible for the higher caloric intakes among SSB consumers. A similar finding was observed among children aged 12-18 years; however, both food and SSB contributed to higher caloric intakes of adolescents consuming ≥500 kcal of SSBs. Among those aged 12-18 years, higher intakes of foods (e.g., pizza, burgers, fried potatoes, and savory snacks) and lower intakes of non-SSB beverages (e.g., fluid milk and fruit juice) were associated with increased SSB intake.ConclusionsSugar-sweetened beverages are primarily responsible for the higher caloric intakes of SSB consumers, and SSB consumption is associated with intake of a select number of food and beverage groups, some of which are often unhealthy (e.g., pizza and grain-based desserts).
| S-EPMC3601585 | biostudies-literature