Dataset Information

Code and data on the categorization of soft-drink bottles using image silhouettes.

ABSTRACT: This data article includes the visual stimuli used to test the categorization of a set of soft drink bottle silhouettes. Additionally, subjects' perceptual categorization was associated with each visual stimuli. The silhouette of the soft drink bottles was characterized by calculating the most common object shape measurements such as width, height and area and combining them with more complex and specific quantitative shape measurements such as the principal moment statistics. Finally, this data article includes the code for extracting these shape characteristics from image silhouettes. For interpretation and discussion, please see the original article entitled "Quantitative analysis of product categorization in soft drinks using bottle silhouettes" (Arboled and Arce-Lopera, 2015) [1].

SUBMITTER: Arboleda AM

PROVIDER: S-EPMC6327070 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Code and data on the categorization of soft-drink bottles using image silhouettes.

Arboleda Ana M AM Arce-Lopera Carlos C

Data in brief 20181224

This data article includes the visual stimuli used to test the categorization of a set of soft drink bottle silhouettes. Additionally, subjects' perceptual categorization was associated with each visual stimuli. The silhouette of the soft drink bottles was characterized by calculating the most common object shape measurements such as width, height and area and combining them with more complex and specific quantitative shape measurements such as the principal moment statistics. Finally, this data ...[more]

PMID: 30671504

Similar Datasets

Project description:BackgroundA few prospective studies have investigated the potential association of soft drink and non-caloric soft drink intake with high blood pressure using methods that adequately consider changes in intake over time and hypertensive status at baseline.ObjectiveTo prospectively examine the association of soft drink and non-caloric soft drink intake with systolic and diastolic blood pressure in a sample of Mexican adults, overall and by hypertension status.MethodsWe used data from the Health Workers Cohort Study spanning from 2004 to 2018 (n = 1,324 adults). Soft drink and non-caloric soft drink intake were assessed with a semiquantitative food frequency questionnaire. We fit multivariable-adjusted fixed-effects models to test the association of soft drink and non-caloric soft drink intake with systolic and diastolic blood pressure. The models were adjusted for potential confounders and considering the potential modifying effect of hypertension status at baseline.ResultsA one-serving increase in soft drink intake was associated with a 2.08 mm Hg (95% CI: 0.21, 3.94) increase in systolic blood pressure and 2.09 mm Hg (95% CI: 0.81, 3.36) increase in diastolic blood pressure over ten years. A stronger association between soft drink intake and diastolic pressure was observed among participants with versus without hypertension at baseline. We found no association between non-caloric soft drink intake and blood pressure.ConclusionsOur findings support the hypothesis that soft drink intake increases blood pressure. While further studies should be conducted to confirm our findings, food policies and recommendations to limit soft drink intake are likely to help reduce blood pressure at the population level. We probably did not find an association between non-caloric soft drink intake and blood pressure because of the low consumption of this type of beverage in the cohort. More studies will be needed to understand the potential effect of non-caloric beverages on blood pressure.

Project description:BACKGROUND:Glassware design may affect drinking behaviour for alcoholic beverages, with glass shape and size influencing drinking speed and amount consumed. Uncertainty remains both about the extent to which these effects are restricted to alcohol and the underlying mechanisms. The primary aim of the current study was to examine the effect of differently shaped glasses on time taken to drink a soft drink. The secondary aim was to develop hypotheses about mechanisms concerning micro-drinking behaviours and perceptual effects. METHOD:In a single-session experiment, 162 participants were randomised to receive 330ml of carbonated apple juice in a glass that was either inward-sloped, straight-sided, or outward-sloped. The primary outcome measure was total drinking time. Secondary outcome measures included micro-drinking behaviours (sip size, sip duration, interval duration), and perceptual measures (midpoint bias, drink enjoyment). RESULTS:Participants drank 21.4% faster from the outward-sloped glass than from the straight-sided glass [95%CI: 0.2%,38.0%] in adjusted models. They were also 18.2% faster from the inward-sloped glass than the straight-sided glass, but this did not reach statistical significance with wide confidence intervals also consistent with slower drinking [95%CI: -3.8%,35.6%]. Larger sips were associated with faster drinking times (Pearson's r(162) = -.45, p < .001). The direction of effects suggested sips were larger from the outward-sloped and inward-sloped glasses, compared to the straight-sided glass (15.1%, 95%CI: -4.3%,38.0%; 19.4%, 95%CI: -0.5%,43.6%, respectively). There were no significant differences between glasses in mean sip or interval duration. Bias in midpoint estimation was greater for the outward-sloped glass (12.9ml, 95%CI: 6.6ml,19.2ml) than for the straight-sided glass, although the degree of bias was not associated with total drinking time (Pearson's r(162) = 0.01, p = .87). DISCUSSION:Individuals drank a soft drink more quickly from an outward-sloped glass, relative to a straight-sided glass. Micro-drinking behaviours, such as sip size, are promising candidates for underlying mechanisms.

Dataset Information

Code and data on the categorization of soft-drink bottles using image silhouettes.

Publications

Code and data on the categorization of soft-drink bottles using image silhouettes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets